From f30c06d506a6295446490b6b03f77677b233ce0e Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Thu, 26 May 2016 16:46:39 +1000 Subject: [PATCH 01/73] rethink evaluation and plotly object representation model --- DESCRIPTION | 5 +- NAMESPACE | 27 +- NEWS | 20 + R/add.R | 61 +++ R/export.R | 32 ++ R/figure.R | 2 +- R/ggplotly.R | 14 +- R/helpers.R | 66 +++ R/imports.R | 4 +- R/layout.R | 66 +++ R/plotly.R | 462 ++---------------- R/plotly_POST.R | 2 +- R/plotly_build.R | 158 ++++++ R/print.R | 64 +-- R/process.R | 5 +- R/shiny.R | 2 - R/subplots.R | 4 +- R/sysdata.rda | Bin 0 -> 202 bytes R/utils.R | 116 ++--- .../lib/plotlyjs/plotly-latest.min.js | 62 +-- inst/htmlwidgets/plotly.js | 4 +- inst/htmlwidgets/plotly.yaml | 2 +- inst/plotlyjs.R | 9 +- man/add_trace.Rd | 9 +- man/as.widget.Rd | 10 +- man/config.Rd | 4 +- man/export.Rd | 25 + man/get_plot.Rd | 19 - man/knit_print.plotly_built.Rd | 19 - ....figure.Rd => knit_print.plotly_figure.Rd} | 6 +- man/knit_print.plotly_hash.Rd | 19 - man/last_plot.Rd | 18 - man/layout.Rd | 10 +- man/plot_ly.Rd | 32 +- man/plotly_build.Rd | 18 +- man/plotly_empty.Rd | 2 +- man/plotly_spec.Rd | 24 + man/print.plotly_built.Rd | 17 - ...print.figure.Rd => print.plotly_figure.Rd} | 6 +- man/print.plotly_hash.Rd | 17 - man/style.Rd | 6 +- man/toWebGL.Rd | 25 + 42 files changed, 697 insertions(+), 776 deletions(-) create mode 100644 R/add.R create mode 100644 R/export.R create mode 100644 R/helpers.R create mode 100644 R/layout.R create mode 100644 R/plotly_build.R create mode 100644 R/sysdata.rda create mode 100644 man/export.Rd delete mode 100644 man/get_plot.Rd delete mode 100644 man/knit_print.plotly_built.Rd rename man/{knit_print.figure.Rd => knit_print.plotly_figure.Rd} (79%) delete mode 100644 man/knit_print.plotly_hash.Rd delete mode 100644 man/last_plot.Rd create mode 100644 man/plotly_spec.Rd delete mode 100644 man/print.plotly_built.Rd rename man/{print.figure.Rd => print.plotly_figure.Rd} (75%) delete mode 100644 man/print.plotly_hash.Rd create mode 100644 man/toWebGL.Rd diff --git a/DESCRIPTION b/DESCRIPTION index 0f00783085..c328c1bd7c 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -31,7 +31,7 @@ Imports: base64enc, htmlwidgets, tidyr, - hexbin + hexbin, Suggests: dplyr, maps, @@ -47,7 +47,8 @@ Suggests: RColorBrewer, Rserve, RSclient, - broom + broom, + webshot LazyData: true VignetteBuilder: knitr RoxygenNote: 5.0.1 diff --git a/NAMESPACE b/NAMESPACE index 0df6ffa82c..1322fb13ae 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -13,14 +13,11 @@ S3method(geom2trace,GeomTile) S3method(geom2trace,default) S3method(ggplotly,ggmatrix) S3method(ggplotly,ggplot) -S3method(plotly_build,default) +S3method(layout,matrix) +S3method(layout,plotly) S3method(plotly_build,gg) -S3method(plotly_build,plotly_built) -S3method(plotly_build,plotly_hash) -S3method(plotly_build,plotly_subplot) -S3method(print,figure) -S3method(print,plotly_built) -S3method(print,plotly_hash) +S3method(plotly_build,plotly) +S3method(print,plotly_figure) S3method(to_basic,GeomAbline) S3method(to_basic,GeomArea) S3method(to_basic,GeomBoxplot) @@ -47,19 +44,20 @@ S3method(to_basic,GeomViolin) S3method(to_basic,GeomVline) S3method(to_basic,default) export("%>%") +export(add_lines) +export(add_points) +export(add_text) export(add_trace) export(as.widget) export(config) export(embed_notebook) export(event_data) +export(export) export(geom2trace) export(get_figure) export(gg2list) export(ggplotly) -export(knit_print.figure) -export(knit_print.plotly_built) -export(knit_print.plotly_hash) -export(last_plot) +export(knit_print.plotly_figure) export(layout) export(offline) export(plot_ly) @@ -69,16 +67,20 @@ export(plotly_IMAGE) export(plotly_POST) export(plotly_build) export(plotly_empty) +export(plotly_spec) export(renderPlotly) export(signup) export(style) export(subplot) export(toRGB) +export(toWebGL) export(to_basic) import(ggplot2) importFrom(base64enc,base64encode) importFrom(grDevices,col2rgb) +importFrom(graphics,layout) importFrom(htmlwidgets,createWidget) +importFrom(htmlwidgets,saveWidget) importFrom(htmlwidgets,shinyRenderWidget) importFrom(htmlwidgets,shinyWidgetOutput) importFrom(htmlwidgets,sizingPolicy) @@ -91,6 +93,9 @@ importFrom(httr,content) importFrom(httr,stop_for_status) importFrom(jsonlite,fromJSON) importFrom(jsonlite,toJSON) +importFrom(lazyeval,dots_capture) +importFrom(lazyeval,f_eval) +importFrom(lazyeval,f_list) importFrom(magrittr,"%>%") importFrom(stats,complete.cases) importFrom(stats,setNames) diff --git a/NEWS b/NEWS index 3f9bfb4296..20b583569c 100644 --- a/NEWS +++ b/NEWS @@ -1,3 +1,23 @@ +4.0.0 + +MAJOR CHANGES & IMPROVEMENTS: + +* Formulas (instead of plain expressions) are now required when referring to variable names. For example, `plot_ly(mtcars, x = wt, y = mpg, color = vs)` should now be `plot_ly(mtcars, x = ~wt, y = ~mpg, color = ~vs)`. This is a major breaking change, but it is necessary to ensure that evaluation is correct in all contexts (as a result, `evaluate` argument is now deprecated). It also has the benefit of being easier to program with (i.e., writing your own custom functions that wrap `plot_ly()`). For more details, see the [lazyeval vignette](https://github.com/hadley/lazyeval/blob/master/vignettes/lazyeval.Rmd) +* The central object (i.e., the return value and first argument to functions) is now an htmlwidget object (instead of a data frame with a special attribute tracking visual mappings). As a result, plotly objects can now be serialized across R sessions and avoid [memory leak issues](https://github.com/rstudio/shiny/issues/1151). This also implies that arbitrary data manipulation functions can no longer be intermingled inside a plot pipeline, but plotly methods for dplyr's data manipulation verbs are now provided. + + +NEW FEATURES & IMPROVEMENTS: + +* Error checking for trace types. +* New `add_points()`/`add_lines()`/`add_text()` functions provide a shorthand for common plots. +* New `toWebGL()` function for easy conversion from SVG to WebGL. +* New `export()` function makes it easy to save plots as png/jpeg/pdf. +* `layout()` is now a generic function and uses method dispatch to avoid conflicts with graphics:layout(). +* Added a `plotly_json()` function to help + + + + 3.6.2 -- 24 May 2016 CHANGES: diff --git a/R/add.R b/R/add.R new file mode 100644 index 0000000000..550aecd893 --- /dev/null +++ b/R/add.R @@ -0,0 +1,61 @@ +#' Add a trace to a plotly visualization +#' +#' @param p a plotly or ggplot object. +#' @param ... These arguments are documented in the references section below. +#' Note that acceptable arguments depend on the trace type. +#' @param group Either a variable name or a vector to use for grouping. If used, +#' a different trace will be created for each unique value. +#' @param color Either a variable name or a vector to use for color mapping. +#' @param colors Either a colorbrewer2.org palette name (e.g. "YlOrRd" or "Blues"), +#' or a vector of colors to interpolate in hexadecimal "#RRGGBB" format, +#' or a color interpolation function like \code{colorRamp}. +#' @param symbol Either a variable name or a (discrete) vector to use for symbol encoding. +#' @param symbols A character vector of symbol types. Possible values: +#' 'dot', 'cross', 'diamond', 'square', 'triangle-down', 'triangle-left', 'triangle-right', 'triangle-up' +#' @param size A variable name or numeric vector to encode the size of markers. +#' @param data A data frame to associate with this trace (optional). If not +#' provided, arguments are evaluated using the data frame in \code{\link{plot_ly}()}. +#' @seealso \code{\link{plot_ly}()} +#' @references \url{https://plot.ly/r/reference/} +#' @author Carson Sievert +#' @export +add_trace <- function(p, ..., + group, color, colors, symbol, symbols, size, data = NULL) { + p <- verify_plot(p) + # "native" plotly arguments + argz <- list(...) + # tack on "special" arguments + if (!missing(group)) argz$group <- substitute(group) + if (!missing(color)) argz$color <- substitute(color) + if (!missing(colors)) argz$colors <- substitute(colors) + if (!missing(symbol)) argz$symbol <- substitute(symbol) + if (!missing(symbols)) argz$symbols <- substitute(symbols) + if (!missing(size)) argz$size <- substitute(size) + + argz$type <- verify_type(argz$type) + + nTraces <- length(p$x$data) + + p$x$data[[nTraces + 1]] <- list( + attrs = argz, + rdata = data %||% p$x$data[[1]]$rdata + ) + + p +} + +#' @export +add_points <- function(p, ...) { + add_trace(p, type = "scatter", mode = "markers", ...) +} + +#' @export +add_lines <- function(p, ...) { + add_trace(p, type = "scatter", mode = "lines", ...) +} + +#' @export +add_text <- function(p, ...) { + add_trace(p, type = "scatter", mode = "text", ...) +} + diff --git a/R/export.R b/R/export.R new file mode 100644 index 0000000000..7bafcc6c3a --- /dev/null +++ b/R/export.R @@ -0,0 +1,32 @@ +#' Export a plotly graph to a static file +#' +#' @param p a plotly or ggplot object. +#' @param file a filename. See the file argument of \code{webshot::webshot} +#' for valid extensions. +#' @param ... arguments passed onto \code{webshot::webshot} +#' @export +#' @examples \dontrun{ +#' export(plot_ly(economics, x = ~date, y = ~pce)) +#' } +export <- function(p, file = "plotly.png", ...) { + if (system.file(package = "webshot") == "") { + stop( + 'Please install the webshot package ', + '(if not on CRAN, try devtools::install_github("wch/webshot"))' + ) + } + f <- basename(tempfile('plotly', '.', '.html')) + on.exit(unlink(f), add = TRUE) + html <- htmlwidgets::saveWidget(plotly_build(p), f) + webshot::webshot(f, file, ...) +} + + +#library(htmlwidgets) +#plot_ly(economics, x = ~date, y = ~uempmed) %>% +# onRender( +# "function(el, x) { +# var gd = document.getElementById(el.id); +# Plotly.downloadImage(gd, {format: 'jpeg', height: 300, width: 300, filename: 'plotly_download'}) +# }" +# ) diff --git a/R/figure.R b/R/figure.R index 6b3edf346b..bfa8711421 100644 --- a/R/figure.R +++ b/R/figure.R @@ -20,5 +20,5 @@ get_figure <- function(username, id) { if (missing(id)) stop("Please provide a figure id number") base_url <- file.path(get_domain(), "apigetfile", username, id) resp <- httr::GET(base_url, plotly_headers(), httr::config(ssl_verifypeer=FALSE)) - process(append_class(resp, "figure")) + process(append_class(resp, "plotly_figure")) } diff --git a/R/ggplotly.R b/R/ggplotly.R index a1ab6b6522..8fab417eb4 100644 --- a/R/ggplotly.R +++ b/R/ggplotly.R @@ -66,14 +66,14 @@ ggplotly.ggmatrix <- function(p = ggplot2::last_plot(), width = NULL, if (nchar(p$title) > 0) { s <- layout(s, title = p$title) } - hash_plot(p$data, plotly_build(s)) + s } #' @export ggplotly.ggplot <- function(p = ggplot2::last_plot(), width = NULL, height = NULL, tooltip = "all", source = "A", ...) { - l <- gg2list(p, width = width, height = height, tooltip = tooltip, source = source) - hash_plot(p$data, l) + l <- gg2list(p, width = width, height = height, tooltip = tooltip, source = source, ...) + as.widget(l) } #' Convert a ggplot to a list. @@ -687,13 +687,13 @@ gg2list <- function(p, width = NULL, height = NULL, tooltip = "all", source = "A # If a trace isn't named, it shouldn't have additional hoverinfo traces <- lapply(compact(traces), function(x) { x$name <- x$name %||% ""; x }) - l <- list(data = setNames(traces, NULL), layout = compact(gglayout)) + l <- list(data = setNames(traces, NULL), layout = list(compact(gglayout))) # ensure properties are boxed correctly l <- add_boxed(rm_asis(l)) - l$width <- width - l$height <- height + l$layout$width <- width + l$layout$height <- height l$source <- source - structure(l, class = "plotly_built") + l } diff --git a/R/helpers.R b/R/helpers.R new file mode 100644 index 0000000000..609e97fb10 --- /dev/null +++ b/R/helpers.R @@ -0,0 +1,66 @@ +#' Obtain JSON sent to plotly.js +#' +#' This function returns the JSON sent to plotly.js which can be useful for +#' debugging. +#' +#' @param p a plotly or ggplot object. +#' @param as in what format should the spec be printed? +#' @param ... arguments passed onto \code{jsonlite::toJSON} +#' @export +#' @examples +#' +#' plotly_spec(plot_ly(), as = "json", pretty = TRUE) + +plotly_spec <- function(p = plot_ly(), as = c("plain", "json"), ...) { + spec <- plotly_build(p)$x + if (identical("json", match.arg(as))) { + return(to_JSON(spec, ...)) + } + spec +} + + +#' Convert trace types to WebGL +#' +#' This function will also build +#' +#' @param p a plotly or ggplot object. +#' @param warn should a warning be produced if the trace type doesn't have +#' a WebGL equivalent? +#' @export +#' @examples +#' +#' # currently no bargl trace type +#' toWebGL(qplot(1:10)) +#' toWebGL(qplot(1:10, 1:10)) +#' +toWebGL <- function(p, warn = TRUE) { + p <- plotly_build(p) + types <- sapply(p$x$data, function(x) x[["type"]][1] %||% "scatter") + idx <- paste0(types, "gl") %in% traces + if (any(!idx) && warn) { + warning( + "The following traces don't have a WebGL equivalent: ", + paste(which(!idx), collapse = ", ") + ) + } + for (i in which(idx)) { + p$x$data[[i]]$type <- paste0(p$x$data[[i]]$type, "gl") + } + p +} + + +#' Create a complete empty plotly graph. +#' +#' Useful when used with \link{subplot} +#' +#' @export +plotly_empty <- function() { + eaxis <- list( + showticklabels = FALSE, + showgrid = FALSE, + zeroline = FALSE + ) + layout(plot_ly(), xaxis = eaxis, yaxis = eaxis) +} diff --git a/R/imports.R b/R/imports.R index f8a474f579..3f1295e74c 100644 --- a/R/imports.R +++ b/R/imports.R @@ -1,10 +1,12 @@ #' @import ggplot2 #' @importFrom grDevices col2rgb +#' @importFrom graphics layout #' @importFrom utils getFromNamespace modifyList data packageVersion browseURL #' @importFrom stats setNames complete.cases #' @importFrom tidyr gather #' @importFrom viridis viridis #' @importFrom jsonlite toJSON fromJSON #' @importFrom httr GET POST PATCH content config add_headers stop_for_status -#' @importFrom htmlwidgets createWidget sizingPolicy +#' @importFrom htmlwidgets createWidget sizingPolicy saveWidget +#' @importFrom lazyeval f_eval f_list dots_capture NULL diff --git a/R/layout.R b/R/layout.R new file mode 100644 index 0000000000..9b0fd254f5 --- /dev/null +++ b/R/layout.R @@ -0,0 +1,66 @@ +#' Modify the layout of a plotly visualization +#' +#' @param p A plotly object. +#' @param ... Arguments to the layout object. For documentation, +#' see \url{https://plot.ly/r/reference/#Layout_and_layout_style_objects} +#' @param data A data frame to associate with this layout (optional). If not +#' provided, arguments are evaluated using the data frame in \code{\link{plot_ly}()}. +#' @author Carson Sievert +#' @export +layout <- function(p, ..., data = NULL) { + UseMethod("layout") +} + +#' @export +layout.matrix <- function(p, ..., data = NULL) { + # workaround for the popular graphics::layout() function + # https://github.com/ropensci/plotly/issues/464 + graphics::layout(p, ...) +} + +#' @export +layout.plotly <- function(p, ..., data = NULL) { + argz <- list(...) + nLayouts <- length(p$x$layout) + p$x$layout[[nLayouts + 1]] <- list( + attrs = argz, + rdata = data %||% p$x$data[[1]]$rdata + ) + p +} + +#' Set the default configuration for plotly +#' +#' @param p a plotly object +#' @param ... these arguments are documented at +#' \url{https://github.com/plotly/plotly.js/blob/master/src/plot_api/plot_config.js} +#' @author Carson Sievert +#' @export +#' @examples \dontrun{ +#' config(plot_ly(), displaylogo = FALSE, modeBarButtonsToRemove = list('sendDataToCloud')) +#' } + +config <- function(p, ...) { + nConfig <- length(p$x$config) + p$x$config[[nConfig + 1]] <- list(...) + p +} + +#' Modify trace(s) +#' +#' Modify trace(s) of an existing plotly visualization. Useful when used in +#' conjunction with \code{\link{get_figure}()}. +#' +#' @param p A plotly visualization. +#' @param ... Visual properties. +#' @param traces numeric vector. Which traces should be modified? +#' @seealso \code{\link{get_figure}()} +#' @author Carson Sievert +#' @export +style <- function(p, ..., traces = 1) { + p <- plotly_build(p) + idx <- traces >= length(p$x$data) + if (any(idx)) warning("You've referenced non-existent traces", call. = FALSE) + p$x$style <- c(p$x$style, list(...)) + p +} diff --git a/R/plotly.R b/R/plotly.R index 46a275315c..4392013e0e 100644 --- a/R/plotly.R +++ b/R/plotly.R @@ -22,7 +22,6 @@ #' @param width Width in pixels (optional, defaults to automatic sizing). #' @param height Height in pixels (optional, defaults to automatic sizing). #' @param inherit logical. Should future traces inherit properties from this initial trace? -#' @param evaluate logical. Evaluate arguments when this function is called? #' @param source Only relevant for \link{event_data}. #' @seealso \code{\link{layout}()}, \code{\link{add_trace}()}, \code{\link{style}()} #' @author Carson Sievert @@ -31,10 +30,9 @@ #' \dontrun{ #' data(economics, package = "ggplot2") #' # basic time-series plot -#' p <- plot_ly(economics, x = date, y = uempmed, type = "scatter", -#' showlegend = FALSE) +#' p <- plot_ly(economics, x = ~date, y = ~uempmed, inherit = TRUE) #' # add a loess smoother -#' p2 <- add_trace(p, y = fitted(loess(uempmed ~ as.numeric(date)))) +#' p2 <- add_trace(p, y = ~fitted(loess(uempmed ~ as.numeric(date)))) #' # add a title #' p3 <- layout(p2, title = "Median duration of unemployment (in weeks)") #' # change the font @@ -51,25 +49,32 @@ #' } #' plot_ly(economics, x = unemploy / pop, color = decade(date), type = "box") #' -#' # plotly loves pipelines -#' economics %>% -#' transform(rate = unemploy / pop) %>% -#' plot_ly(x = date, y = rate) %>% -#' loess(rate ~ as.numeric(date), data = .) %>% -#' broom::augment() %>% +#' # monads::`%>>%` enables data-plot-pipelines +#' +#' plot_ly(mtcars, x = ~wt, y = ~mpg) +#' +#' +#' economics %>>% +#' transform(rate = unemploy / pop) %>>% +#' +#' %>% +#' %>>% +#' loess(rate ~ as.numeric(date), data = .) %>>% +#' broom::augment() %>>% #' add_trace(y = .fitted) #' #' # sometimes, a data frame isn't fit for the use case... #' # for 3D surface plots, a numeric matrix is more natural #' plot_ly(z = volcano, type = "surface") +#' #' } #' -plot_ly <- function(data = data.frame(), ..., type = "scatter", +plot_ly <- function(data = data.frame(), ..., type = NULL, group, color, colors, symbol, symbols, size, - width = NULL, height = NULL, inherit = FALSE, - evaluate = FALSE, source = "A") { + width = NULL, height = NULL, inherit = FALSE, + source = "A") { # "native" plotly arguments - argz <- substitute(list(...)) + argz <- list(...) # old arguments to this function that are no longer supported if (!is.null(argz$filename)) warning("Ignoring filename. Use plotly_POST() if you want to post figures to plotly.") @@ -78,407 +83,36 @@ plot_ly <- function(data = data.frame(), ..., type = "scatter", if (!is.null(argz$world_readable)) warning("Ignoring world_readable. Use plotly_POST() if you want to post figures to plotly.") # tack on "special" arguments - if (!missing(group)) argz$group <- substitute(group) - if (!missing(color)) argz$color <- substitute(color) - if (!missing(colors)) argz$colors <- substitute(colors) - if (!missing(symbol)) argz$symbol <- substitute(symbol) - if (!missing(symbols)) argz$symbols <- substitute(symbols) - if (!missing(size)) argz$size <- substitute(size) - # trace information - tr <- list( - type = type, - args = argz, - env = list2env(data), # environment in which to evaluate arguments - enclos = parent.frame(), # if objects aren't found in env, look here - inherit = inherit - ) - # plotly objects should always have a _list_ of trace(s) + argz$group <- verify_arg(group) + argz$color <- verify_arg(color) + argz$symbol <- verify_arg(symbol) + argz$size <- verify_arg(size) + # TODO: do we really need to verify these? + argz$colors <- verify_arg(colors) + argz$symbols <- verify_arg(symbols) + + # we always deal with a _list_ of traces and _list_ of layouts + # since they can each have different data p <- list( - data = list(tr), - layout = NULL, - url = NULL, - width = width, - height = height, - source = source + data = list( + list( + type = verify_type(type), + attrs = argz, + rdata = data + ) + ), + layout = list( + list( + width = width, + height = height, + # sane margin defaults (mainly for RStudio) + margin = list(b = 40, l = 60, t = 25, r = 10) + ) + ), + config = list(modeBarButtonsToRemove = I("sendDataToCloud")), + inherit = inherit, + base_url = get_domain() ) - if (evaluate) p <- plotly_build(p) - hash_plot(data, p) -} - -#' Add a trace to a plotly visualization -#' -#' @param p A plotly object. -#' @param ... These arguments are documented in the references section below. -#' Note that acceptable arguments depend on the trace type. -#' @param group Either a variable name or a vector to use for grouping. If used, -#' a different trace will be created for each unique value. -#' @param color Either a variable name or a vector to use for color mapping. -#' @param colors Either a colorbrewer2.org palette name (e.g. "YlOrRd" or "Blues"), -#' or a vector of colors to interpolate in hexadecimal "#RRGGBB" format, -#' or a color interpolation function like \code{colorRamp}. -#' @param symbol Either a variable name or a (discrete) vector to use for symbol encoding. -#' @param symbols A character vector of symbol types. Possible values: -#' 'dot', 'cross', 'diamond', 'square', 'triangle-down', 'triangle-left', 'triangle-right', 'triangle-up' -#' @param size A variable name or numeric vector to encode the size of markers. -#' @param data A data frame to associate with this trace (optional). If not -#' provided, arguments are evaluated using the data frame in \code{\link{plot_ly}()}. -#' @param evaluate logical. Evaluate arguments when this function is called? -#' @seealso \code{\link{plot_ly}()} -#' @references \url{https://plot.ly/r/reference/} -#' @author Carson Sievert -#' @export -add_trace <- function(p = last_plot(), ..., - group, color, colors, symbol, symbols, size, - data = NULL, evaluate = FALSE) { - # "native" plotly arguments - argz <- substitute(list(...)) - # tack on "special" arguments - if (!missing(group)) argz$group <- substitute(group) - if (!missing(color)) argz$color <- substitute(color) - if (!missing(colors)) argz$colors <- substitute(colors) - if (!missing(symbol)) argz$symbol <- substitute(symbol) - if (!missing(symbols)) argz$symbols <- substitute(symbols) - if (!missing(size)) argz$size <- substitute(size) - data <- data %||% if (is.data.frame(p)) p else list() - tr <- list( - args = argz, - env = list2env(data), - enclos = parent.frame() - ) - p <- last_plot(p) - p$data <- c(p$data, list(tr)) - if (evaluate) p <- plotly_build(p) - hash_plot(data, p) -} - -#' Add and/or modify layout of a plotly -#' -#' @param p A plotly object. -#' @param ... Arguments to the layout object. For documentation, -#' see \url{https://plot.ly/r/reference/#Layout_and_layout_style_objects} -#' @param data A data frame to associate with this layout (optional). If not -#' provided, arguments are evaluated using the data frame in \code{\link{plot_ly}()}. -#' @param evaluate logical. Evaluate arguments when this function is called? -#' @author Carson Sievert -#' @export -layout <- function(p = last_plot(), ..., - data = NULL, evaluate = FALSE) { - data <- data %||% if (is.data.frame(p)) p else list() - layout <- list( - args = substitute(list(...)), - env = list2env(data), - enclos = parent.frame() - ) - p <- last_plot(p) - p$layout <- c(p$layout, list(layout = layout)) - if (evaluate) p <- plotly_build(p) - hash_plot(data, p) -} - -#' Set the default configuration for plotly -#' -#' @param p a plotly object -#' @param ... these arguments are documented at -#' \url{https://github.com/plotly/plotly.js/blob/master/src/plot_api/plot_config.js} -#' @author Carson Sievert -#' @export -#' @examples \dontrun{ -#' config(plot_ly(), displaylogo = FALSE, modeBarButtonsToRemove = list('sendDataToCloud')) -#' } - -config <- function(p = last_plot(), ...) { - conf <- list(...) - p <- last_plot(p) - p$config <- c(p$config, conf) - hash_plot(if (is.data.frame(p)) p else list(), p) -} - -#' Modify trace(s) -#' -#' Modify trace(s) of an existing plotly visualization. Useful when used in -#' conjunction with \code{\link{get_figure}()}. -#' -#' @param p A plotly visualization. -#' @param ... Visual properties. -#' @param traces numeric vector. Which traces should be modified? -#' @param evaluate logical. Evaluate arguments when this function is called? -#' @seealso \code{\link{get_figure}()} -#' @author Carson Sievert -#' @export -style <- function(p = last_plot(), ..., traces = 1, evaluate = FALSE) { - idx <- traces >= length(p$data) - if (any(idx)) warning("You've referenced non-existent traces", call. = FALSE) - style <- list( - args = substitute(list(...)), - # not optimal.... - env = p$data[[max(traces)]]$env, - enclos = parent.frame(), - traces = traces - ) - p$style <- c(p$style, list(style)) - if (evaluate) p <- plotly_build(p) - hash_plot(data, p) -} - -#' Create a 'plotly_built' object -#' -#' This generic function creates the list object sent to plotly.js -#' for rendering. Using this function can be useful for overriding defaults -#' provided by \code{ggplotly}/\code{plot_ly} or for debugging rendering -#' errors. -#' -#' @param l a ggplot object, or a plotly_hash object, or a list. -#' @export -#' @examples -#' -#' p <- plot_ly() -#' # data frame -#' str(p) -#' # the actual list of options sent to plotly.js -#' str(plotly_build(p)) -#' -#' p <- qplot(data = mtcars, wt, mpg, geom = c("point", "smooth")) -#' l <- plotly_build(p) -#' # turn off hoverinfo for the smooth (but keep it for the points) -#' l$data[[2]]$hoverinfo <- "none" -#' l$data[[3]]$hoverinfo <- "none" -#' l -#' -plotly_build <- function(l = last_plot()) { - UseMethod("plotly_build") -} - -#' @export -plotly_build.default <- function(l = last_plot()) { - l -} - -#' @export -plotly_build.plotly_built <- function(l = last_plot()) { - l -} - -#' @export -plotly_build.plotly_subplot <- function(l = last_plot()) { - prefix_class(get_plot(l), "plotly_built") -} - -#' @export -plotly_build.gg <- function(l = last_plot()) { - prefix_class(get_plot(ggplotly(l)), "plotly_built") -} - -#' @export -plotly_build.plotly_hash <- function(l = last_plot()) { - l <- get_plot(l) - # assume unnamed list elements are data/traces - nms <- names(l) - idx <- nms %in% "" - l <- if (is.null(nms)) { - list(data = l) - } else if (any(idx)) { - c(data = c(l$data, l[idx]), l[!idx]) - } else l - # carry over properties, if necessary (but don't carry over evaluation envir) - if (length(l$data) > 1 && isTRUE(l$data[[1]]$inherit)) { - d <- l$data[[1]] - d <- d[!names(d) %in% c("env", "enclos")] - for (i in seq.int(2, length(l$data))) { - l$data[[i]] <- modifyList(l$data[[i]], d) - } - } - # 'x' is the same as 'l', but with arguments evaluated - # this is ugly, but I think it is necessary, since we don't know how many - # traces we have until we evaluate args and call traceify() (or similar) - x <- list() - for (i in seq_along(l$data)) { - d <- l$data[[i]] - if (should_eval(d)) { - dat <- do_eval(d) - # start processing specially named arguments - s <- dat[["size"]] - if (!is.null(s)) { - if (!is.numeric(s)) warning("size should be numeric", call. = FALSE) - # if autosizing is used, guess that the plot is 300 by 600 - auto <- dat[["layout"]][["autosize"]] %||% TRUE - hw <- if (auto) c(300, 600) - else c(dat[["layout"]][["height"]], dat[["layout"]][["width"]]) - # ensure that markers cover 30% of the plot area - m <- list( - size = 0.3 * prod(hw) * (s/sum(s)), - sizemode = "area" - ) - # the marker object is the only type of object which respects size - dat[["marker"]] <- modifyList(dat[["marker"]] %||% list(), m) - # either add some appropriate hover text - txt <- paste0(as.list(d$args)[["size"]], " (size): ", s) - dat[["text"]] <- if (is.null(dat[["text"]])) txt else paste0(dat[["text"]], "
", txt) - } - has_color <- !is.null(dat[["color"]]) || - isTRUE(!is.null(dat[["z"]]) && !dat[["type"]] %in% "scatter3d") - has_symbol <- !is.null(dat[["symbol"]]) - has_group <- !is.null(dat[["group"]]) - if (has_color) { - title <- as.list(d$args)[["color"]] %||% as.list(d$args)[["z"]] %||% "" - x$data <- c(x$data, colorize(dat, title)) - } - # TODO: add a legend title (is this only possible via annotations?!?) - if (has_symbol) x$data <- c(x$data, symbolize(dat)) - if (has_group) x$data <- c(x$data, traceify(dat, "group")) - if (!has_color && !has_symbol && !has_group) x$data <- c(x$data, list(dat)) - } else { - x$data <- c(x$data, list(d)) - } - } - # it's possible have nested layouts (e.g., plot_ly() %>% layout() %>% layout()) - nms <- names(l$layout) - idx <- nms %in% "layout" - l$layout <- c(list(l$layout[!idx]), setNames(l$layout[idx], NULL)) - for (i in seq_along(l$layout)) { - x$layout[[i]] <- perform_eval(l$layout[[i]]) - } - x$layout <- Reduce(modifyList, x$layout) - # if style is not null, use it to modify existing traces - if (!is.null(l$style)) { - for (i in seq_along(l$style)) { - sty <- perform_eval(l$style[[i]]) - for (k in l$style[[i]]$traces) - x$data[[k]] <- modifyList(x$data[[k]], sty) - } - } - # add appropriate axis title (if they don't already exist) - x <- axis_titles(x, l) - # tack on other keyword arguments, if necessary - idx <- !names(l) %in% c("data", "layout") - if (any(idx)) x <- c(x, l[idx]) - x <- add_boxed(x) - # ugh, annotations _must_ be an _array_ of object(s)... - a <- x$layout$annotations - if (!is.null(a) && !is.null(names(a))) { - x$layout$annotations <- list(x$layout$annotations) - } - # traces shouldn't have any names - x$data <- setNames(x$data, NULL) - # if this is a non-line scatter trace and no hovermode exists, - # set hovermode to closest - if (is.null(x$data[[1]]$type) || isTRUE(x$data[[1]]$type == "scatter")) { - if (!grepl("lines", x$data[[1]]$mode %||% "lines")) - x$layout$hovermode <- x$layout$hovermode %||% "closest" - } - # add plotly class mainly for printing method - structure(x, class = unique("plotly_built", class(x))) -} - -# returns a _list of traces_. -colorize <- function(dat, title = "") { - cols <- dat[["color"]] %||% dat[["z"]] - if (is.numeric(cols)) { - # by default, use viridis::viridis(10) -> http://rud.is/b/2015/07/20/using-the-new-viridis-colormap-in-r-thanks-to-simon-garnier/ - colors <- dat[["colors"]] %||% viridis::viridis(10) - cols <- as.vector(cols) - rng <- range(cols, na.rm = TRUE) - x <- seq(min(rng), max(rng), length.out = 10) - colz <- scales::col_numeric(colors, rng, na.color = "transparent")(x) - df <- if (length(cols) > 1) data.frame(scales::rescale(x), colz) - else data.frame(c(0, 1), rep(colz, 2)) - col_list <- list( - colorbar = list(title = as.character(title)), - colorscale = setNames(df, NULL) - ) - # scatter-like traces can have both line and marker objects - if (grepl("scatter", dat[["type"]] %||% "scatter")) { - col_list$color <- cols - dat[["marker"]] <- modifyList(col_list, dat[["marker"]] %||% list()) - #mode <- dat[["mode"]] %||% "markers+lines" - # can't have a colorscale for both markers and lines??? - #dat[["line"]] <- modifyList(col_list, dat[["line"]] %||% list()) - } else { - dat <- c(dat, col_list) - } - dat <- list(dat) - } else { # discrete color scale - lvls <- unique(cols) - N <- length(lvls) - default <- if (is.ordered(cols)) viridis::viridis(N) - else RColorBrewer::brewer.pal(N, "Set2") - colors <- dat[["colors"]] %||% default - colz <- scales::col_factor(colors, levels = lvls, na.color = "transparent")(lvls) - dat <- traceify(dat, "color") - dat <- Map(function(x, y) { x[["marker"]] <- c(x[["marker"]], list(color = y)); x }, - dat, colz) - } - dat <- lapply(dat, function(x) { x$color <- NULL; x$colors <- NULL; x }) - dat -} - -symbolize <- function(dat) { - # symbols really only make sense when markers are in the mode, right? - dat$mode <- dat$mode %||% "markers" - dat <- traceify(dat, "symbol") - dat <- lapply(dat, function(x) { x$symbol <- NULL; x }) - N <- length(dat) - if (N > 8) warning("Plotly supports 8 different symbols, but you have ", N, " levels!") - symbols <- c('dot', 'cross', 'diamond', 'square', 'triangle-down', 'triangle-left', 'triangle-right', 'triangle-up') - sym <- dat[[1]][["symbols"]][seq_len(N)] %||% symbols[seq_len(N)] - dat <- Map(function(x, y) { x$marker$symbol <- y; x }, dat, sym) - dat -} - -# break up a single trace into multiple traces according to values stored -# a particular key name -traceify <- function(dat, nm = "group") { - x <- dat[[nm]] - if (is.null(x)) { - return(list(dat)) - } else { - # the order of lvls determines the order in which traces are drawn - # for ordered factors at least, it makes sense to draw the highest level first - # since that _should_ be the darkest color in a sequential pallette - lvls <- if (is.factor(x)) rev(levels(x)) else unique(x) - n <- length(x) - # recursively search for a non-list of appropriate length (if it is, subset it) - recurse <- function(z, n, idx) { - if (is.list(z)) lapply(z, recurse, n, idx) else if (length(z) == n) z[idx] else z - } - new_dat <- list() - for (j in seq_along(lvls)) { - new_dat[[j]] <- lapply(dat, function(y) recurse(y, n, x %in% lvls[j])) - new_dat[[j]]$name <- lvls[j] - } - return(new_dat) - } -} - -axis_titles <- function(x, l) { - d <- l$data[[1]] - argz <- as.list(d$args) - scene <- if (isTRUE(d$type %in% c("scatter3d", "surface"))) TRUE else FALSE - for (i in c("x", "y", "z")) { - ax <- paste0(i, "axis") - t <- x$layout[[ax]]$title %||% x$layout$scene[[ax]]$title - if (is.null(t)) { - idx <- which(names(argz) %in% i) - if (length(idx)) { - title <- if (is.language(argz[[idx]])) deparse(argz[[idx]]) else i - if (scene) x$layout[["scene"]][[ax]]$title <- title - else x$layout[[ax]]$title <- title - } - } - } - x -} - -#' Create a complete empty plotly graph. -#' -#' Useful when used with \link{subplot} -#' -#' @export -plotly_empty <- function() { - eaxis <- list( - showticklabels = FALSE, - showgrid = FALSE, - zeroline = FALSE - ) - layout(plot_ly(), xaxis = eaxis, yaxis = eaxis) + as.widget(p) } diff --git a/R/plotly_POST.R b/R/plotly_POST.R index e4ced1affc..b455db22a9 100644 --- a/R/plotly_POST.R +++ b/R/plotly_POST.R @@ -83,5 +83,5 @@ plotly_POST <- function(x, filename = NULL, fileopt = "overwrite", new = "Success! Created a new plotly here -> ", overwrite = "Success! Modified your plotly here -> ") message(msg, con$url) - structure(con, class = "figure") + structure(con, class = "plotly_figure") } diff --git a/R/plotly_build.R b/R/plotly_build.R new file mode 100644 index 0000000000..73c0532a8c --- /dev/null +++ b/R/plotly_build.R @@ -0,0 +1,158 @@ +#' 'Build' (i.e., evaluate) a plotly object +#' +#' +#' This generic function creates the list object sent to plotly.js +#' for rendering. Using this function can be useful for overriding defaults +#' provided by \code{ggplotly}/\code{plot_ly} or for debugging rendering +#' errors. +#' +#' @param p a ggplot object, or a plotly object, or a list. +#' @export +#' @examples +#' +#' p <- plot_ly(economics, x = ~date, y = ~pce) +#' # a plotly visualization object +#' str(p$x$data) +#' # the actual list of options sent to plotly.js +#' str(plotly_build(p)) +#' +#' p <- qplot(data = mtcars, wt, mpg, geom = c("point", "smooth")) +#' l <- plotly_build(p) +#' # turn off hoverinfo for the smooth (but keep it for the points) +#' l$x$data[[2]]$hoverinfo <- "none" +#' l$x$data[[3]]$hoverinfo <- "none" +#' l +#' +plotly_build <- function(p) { + UseMethod("plotly_build") +} + +#' @export +plotly_build.gg <- function(p) { + ggplotly(p) +} + +#' @export +plotly_build.plotly <- function(p) { + + # Initiating a plot with plot_ly() should have a _list_ of layouts + if (is.list(p$x$layout) && is.null(names(p$x$layout))) { + p$x$layout <- lapply(p$x$layout, function(lay) { + is_formula <- vapply(lay$attrs, is.formula, logical(1)) + fl <- lazyeval::as_f_list(lay$attrs[is_formula] %||% list()) + for (var in names(fl)) { + lay[[var]] <- lazyeval::f_eval(fl[[var]], lay$rdata) + } + # tack on attributes, that aren't formulas, without evaluating them + lay <- c(lay, lay$attrs[!is_formula]) + lay[c("attrs", "rdata")] <- NULL + lay[lengths(lay) > 0] + }) + # combine all the layouts into one layout + # (with later layout() calls overriding previous ones) + p$x$layout <- Reduce(modifyList, p$x$layout) + } + + p$x$data <- lapply(p$x$data, function(tr) { + is_formula <- vapply(tr$attrs, is.formula, logical(1)) + fl <- lazyeval::as_f_list(tr$attrs[is_formula] %||% list()) + for (var in names(fl)) { + tr[[var]] <- lazyeval::f_eval(fl[[var]], tr$rdata) + varname <- sub("^~", "", deparse2(fl[[var]])) + # deparse axis names and add to layout + if (any(c("x", "y", "z") %in% var)) { + if (is3d(tr$type)) { + p$x$layout$scene[[paste0(var, "axis")]]$title <<- varname + } else { + p$x$layout[[paste0(var, "axis")]]$title <<- varname + } + } + } + # tack on attributes, that aren't formulas, without evaluating them + tr <- c(tr, tr$attrs[!is_formula]) + tr[c("attrs", "rdata")] <- NULL + tr[lengths(tr) > 0] + }) + + p +} + +# returns a _list of traces_. +colorize <- function(dat, title = "") { + cols <- dat[["color"]] %||% dat[["z"]] + if (is.numeric(cols)) { + # by default, use viridis::viridis(10) -> http://rud.is/b/2015/07/20/using-the-new-viridis-colormap-in-r-thanks-to-simon-garnier/ + colors <- dat[["colors"]] %||% viridis::viridis(10) + cols <- as.vector(cols) + rng <- range(cols, na.rm = TRUE) + x <- seq(min(rng), max(rng), length.out = 10) + colz <- scales::col_numeric(colors, rng, na.color = "transparent")(x) + df <- if (length(cols) > 1) data.frame(scales::rescale(x), colz) + else data.frame(c(0, 1), rep(colz, 2)) + col_list <- list( + colorbar = list(title = as.character(title)), + colorscale = setNames(df, NULL) + ) + # scatter-like traces can have both line and marker objects + if (grepl("scatter", dat[["type"]] %||% "scatter")) { + col_list$color <- cols + dat[["marker"]] <- modifyList(col_list, dat[["marker"]] %||% list()) + #mode <- dat[["mode"]] %||% "markers+lines" + # can't have a colorscale for both markers and lines??? + #dat[["line"]] <- modifyList(col_list, dat[["line"]] %||% list()) + } else { + dat <- c(dat, col_list) + } + dat <- list(dat) + } else { # discrete color scale + lvls <- unique(cols) + N <- length(lvls) + default <- if (is.ordered(cols)) viridis::viridis(N) + else RColorBrewer::brewer.pal(N, "Set2") + colors <- dat[["colors"]] %||% default + colz <- scales::col_factor(colors, levels = lvls, na.color = "transparent")(lvls) + dat <- traceify(dat, "color") + dat <- Map(function(x, y) { x[["marker"]] <- c(x[["marker"]], list(color = y)); x }, + dat, colz) + } + dat <- lapply(dat, function(x) { x$color <- NULL; x$colors <- NULL; x }) + dat +} + +symbolize <- function(dat) { + # symbols really only make sense when markers are in the mode, right? + dat$mode <- dat$mode %||% "markers" + dat <- traceify(dat, "symbol") + dat <- lapply(dat, function(x) { x$symbol <- NULL; x }) + N <- length(dat) + if (N > 8) warning("Plotly supports 8 different symbols, but you have ", N, " levels!") + symbols <- c('dot', 'cross', 'diamond', 'square', 'triangle-down', 'triangle-left', 'triangle-right', 'triangle-up') + sym <- dat[[1]][["symbols"]][seq_len(N)] %||% symbols[seq_len(N)] + dat <- Map(function(x, y) { x$marker$symbol <- y; x }, dat, sym) + dat +} + +# break up a single trace into multiple traces according to values stored +# a particular key name +traceify <- function(dat, nm = "group") { + x <- dat[[nm]] + if (is.null(x)) { + return(list(dat)) + } else { + # the order of lvls determines the order in which traces are drawn + # for ordered factors at least, it makes sense to draw the highest level first + # since that _should_ be the darkest color in a sequential pallette + lvls <- if (is.factor(x)) rev(levels(x)) else unique(x) + n <- length(x) + # recursively search for a non-list of appropriate length (if it is, subset it) + recurse <- function(z, n, idx) { + if (is.list(z)) lapply(z, recurse, n, idx) else if (length(z) == n) z[idx] else z + } + new_dat <- list() + for (j in seq_along(lvls)) { + new_dat[[j]] <- lapply(dat, function(y) recurse(y, n, x %in% lvls[j])) + new_dat[[j]]$name <- lvls[j] + } + return(new_dat) + } +} diff --git a/R/print.R b/R/print.R index 4985fd3e04..57d24a41d3 100644 --- a/R/print.R +++ b/R/print.R @@ -1,75 +1,29 @@ -#' Print a plotly object -#' -#' @param x a plotly object -#' @param ... additional arguments -#' @export -print.plotly_hash <- function(x, ...) { - x <- as.widget(x) - print(x, ...) -} - -#' Print a 'built' plotly object -#' -#' @param x a plotly object -#' @param ... additional arguments -#' @export -print.plotly_built <- print.plotly_hash - -#' Print a plotly object in a knitr doc -#' -#' @param x a plotly object -#' @param options knitr options. -#' @param ... additional arguments -#' @export -knit_print.plotly_hash <- function(x, options, ...) { - x <- as.widget(x) - knitr::knit_print(x, options = options, ...) -} - -#' Print a 'built' plotly object in a knitr doc -#' -#' @param x a plotly object -#' @param options knitr options. -#' @param ... additional arguments -#' @export -knit_print.plotly_built <- knit_print.plotly_hash - #' Convert a plotly object to an htmlwidget object #' +#' As of version 4.0.0, plotly objects are now htmlwidget objects, +#' so users shouldn't have to use this function directly. +#' #' @param x a plotly object. #' @param ... other options passed onto \code{htmlwidgets::createWidget} #' @export -#' @examples \dontrun{ -#' p <- plot_ly(mtcars, x = mpg, y = disp, mode = "markers") -#' htmlwidgets::saveWidget(as.widget(p), "index.html") -#' } #' as.widget <- function(x, ...) { if (inherits(x, "htmlwidget")) return(x) - if (!inherits(x, "plotly_built")) x <- plotly_build(x) - # set some margin defaults if none are provided - x$layout$margin <- modifyList( - list(b = 40, l = 60, t = 25, r = 10), - x$layout$margin %||% list() - ) - x$config$modeBarButtonsToRemove <- - i(x$config$modeBarButtonsToRemove %||% "sendDataToCloud") - x$base_url <- get_domain() + # add plotly class mainly for printing method # customize the JSON serializer (for htmlwidgets) attr(x, 'TOJSON_FUNC') <- to_JSON htmlwidgets::createWidget( name = "plotly", x = x, - width = x$width, - height = x$height, + width = x$layout$width, + height = x$layout$height, sizingPolicy = htmlwidgets::sizingPolicy( - padding = 5, browser.fill = TRUE, defaultWidth = '100%', defaultHeight = 400 ), - ... + preRenderHook = plotly_build ) } @@ -81,7 +35,7 @@ toWidget <- as.widget #' @param x a plotly figure object #' @param ... additional arguments (currently ignored) #' @export -print.figure <- function(x, ...) { +print.plotly_figure <- function(x, ...) { utils::browseURL(x$url) } @@ -92,7 +46,7 @@ print.figure <- function(x, ...) { #' @param ... placeholder. #' @export #' @references https://github.com/yihui/knitr/blob/master/vignettes/knit_print.Rmd -knit_print.figure <- function(x, options, ...) { +knit_print.plotly_figure <- function(x, options, ...) { if (!requireNamespace("knitr")) { warning("Please install.packages('knitr')") return(x) diff --git a/R/process.R b/R/process.R index 7f13d59104..864e709c06 100644 --- a/R/process.R +++ b/R/process.R @@ -24,7 +24,7 @@ process.image <- function(resp) { error = function(e) httr::content(resp, as = "raw")) } -process.figure <- function(resp) { +process.plotly_figure <- function(resp) { httr::stop_for_status(resp) con <- from_JSON(content(resp, as = "text")) fig <- con$payload$figure @@ -33,8 +33,7 @@ process.figure <- function(resp) { con$url <- sub("^http[s]?:", "https:", con$url) fig <- add_boxed(fig) fig$data[[1]]$inherit <- FALSE - # any reasonable way to return a data frame? - hash_plot(data.frame(), fig) + as.widget(fig) } process.signup <- function(resp) { diff --git a/R/shiny.R b/R/shiny.R index 4ad38425e2..f377a14b2e 100644 --- a/R/shiny.R +++ b/R/shiny.R @@ -25,8 +25,6 @@ plotlyOutput <- function(outputId, width = "100%", height = "400px") { #' @export renderPlotly <- function(expr, env = parent.frame(), quoted = FALSE) { if (!quoted) { expr <- substitute(expr) } # force quoted - # https://github.com/ramnathv/htmlwidgets/issues/166#issuecomment-153000306 - expr <- call("as.widget", expr) shinyRenderWidget(expr, plotlyOutput, env, quoted = TRUE) } diff --git a/R/subplots.R b/R/subplots.R index c3fd97b357..d5fd017e24 100644 --- a/R/subplots.R +++ b/R/subplots.R @@ -236,9 +236,7 @@ subplot <- function(..., nrows = 1, widths = NULL, heights = NULL, margin = 0.02 layouts <- layouts[which_layout] } p$layout <- c(p$layout, Reduce(modifyList, layouts)) - - res <- hash_plot(data.frame(), p) - prefix_class(res, "plotly_subplot") + p } diff --git a/R/sysdata.rda b/R/sysdata.rda new file mode 100644 index 0000000000000000000000000000000000000000..a1dff32fa34ac6eeb4bb75f341261e17c582ebe5 GIT binary patch literal 202 zcmV;*05$(YT4*^jL0KkKS=P3vUH|}J?|}WePyiSJ1ON~~Kj+?H00A%nxok$LXf)F! zOn@31dVtYP)MN&LXaE`sBBs>zN2#>{(0WE{G(EPcGD|r=5g@`8Szn)K+vgj!g=~81 zbzt&Kl0d>t#q)6?Q@f=0la)VVj&KN>ed<*cD2j@IJVdZ0o5=kjhV0=9ASi1XM-?Su zVpj^t*0G8MNo`R*gBC>q(H!KZ8H6-9Ip+o7NhlPW*e)!}%}9}B5zF|yk}1N3hPAai E@H}}{r2qf` literal 0 HcmV?d00001 diff --git a/R/utils.R b/R/utils.R index ab838f958a..8a93b04f37 100644 --- a/R/utils.R +++ b/R/utils.R @@ -1,21 +1,13 @@ is.plotly <- function(x) { - inherits(x, c("plotly_hash", "plotly_built", "plotly_subplot")) + inherits(x, "plotly") } -"%||%" <- function(x, y) { - if (length(x) > 0 || is_blank(x)) x else y -} - -# modify %||% so that NA is considered NULL -"%|x|%" <- function(x, y) { - if (length(x) == 1) { - if (is.na(x)) x <- NULL - } - x %||% y +is.formula <- function(f) { + inherits(f, "formula") } -strextract <- function(str, pattern) { - regmatches(str, regexpr(pattern, str)) +"%||%" <- function(x, y) { + if (length(x) > 0 || is_blank(x)) x else y } compact <- function(x) { @@ -26,57 +18,47 @@ is.discrete <- function(x) { is.factor(x) || is.character(x) || is.logical(x) } -# special enviroment that enables NSE -plotlyEnv <- new.env(parent = emptyenv()) +deparse2 <- function(x) paste(deparse(x, 500L), collapse = "") -# hash plot info, assign it to the special plotly environment, & attach it to data -hash_plot <- function(df, p) { - if (missing(df) || is.null(df)) df <- data.frame() - hash <- digest::digest(p) - # terrible hack to ensure we can always find the most recent hash - hash <- paste(hash, length(ls(plotlyEnv)), sep = "#") - assign(hash, p, envir = plotlyEnv) - attr(df, "plotly_hash") <- hash - # add plotly class mainly for printing method - class(df) <- unique(c("plotly_hash", class(df))) - # return a data frame to be compatible with things like dplyr - df +verify_arg <- function(arg) { + if (missing(arg)) return(NULL) + if (!is.formula(arg)) { + stop("Argument must be a formula.") + } + arg } -#' Obtain underlying data of plotly object -#' -#' Given a data frame with a class of plotly, this function returns the arguments -#' and/or data used to create the plotly. If no data frame is provided, -#' the last plotly object created in this R session is returned (if it exists). -#' -#' @param data a data frame with a class of plotly (and a plotly_hash attribute). -#' @param last if no plotly attribute is found, return the last plot or NULL? -get_plot <- function(data = NULL, last = FALSE) { - hash <- attr(data, "plotly_hash") - if (!is.null(hash)) { - get(hash, envir = plotlyEnv) - } else if (last) { - envs <- strsplit(ls(plotlyEnv), "#") - last_env <- ls(plotlyEnv)[which.max(sapply(envs, "[[", 2))] - get(last_env, envir = plotlyEnv) - } else { - data %||% list() +verify_plot <- function(p) { + if (!is.plotly(p)) { + stop("Don't know how to add traces to an object of class:", + class(p), call. = FALSE) + } + p +} + +# make sure trace type is valid +# TODO: add an argument to verify trace properties are valid (https://github.com/ropensci/plotly/issues/540) +verify_type <- function(type = NULL) { + if (is.null(type)) { + message("No trace type specified. Guessing you want a scatter trace") + type <- "scatter" + } + if (!is.character(type) || length(type) != 1) { + stop("The trace type must be a character vector of length 1.\n", + call. = FALSE) } + if (!type %in% traces) { + stop("Trace type must be one of the following: \n", + "'", paste(traces, collapse = "', '"), "'", + call. = FALSE) + } + type } -#' Retrive and create the last plotly (or ggplot). -#' -#' @seealso \link{plotly_build} -#' @param data (optional) a data frame with a class of plotly (and a plotly_hash attribute). -#' @export -last_plot <- function(data = NULL) { - p <- try(get_plot(data, last = TRUE), silent = TRUE) - if (inherits(p, "try-error")) p <- try(ggplotly(), silent = TRUE) - if (inherits(p, "try-error")) stop("The last plot doesn't exist") - structure( - p, - class = unique(c("plotly_hash", class(p))) - ) +# is a given trace type 3d? +is3d <- function(type = NULL) { + type <- type %||% "scatter" + type %in% c("mesh3d", "scatter3d", "surface") } # Check for credentials/configuration and throw warnings where appropriate @@ -249,24 +231,6 @@ plotly_headers <- function(type = "main") { } -perform_eval <- function(x) { - if (should_eval(x)) do_eval(x) else x -} - -# env/enclos are special properties specific to the R API -# if they appear _and_ are environments, then evaluate arguments -# (sometimes figures return these properties but evaluation doesn't make sense) -should_eval <- function(x) { - any(vapply(x[c("env", "enclos")], is.environment, logical(1))) -} - -# perform evaluation of arguments, keeping other list elements -do_eval <- function(x) { - y <- c(x, eval(x$args, as.list(x$env, all.names = TRUE), x$enclos)) - y[c("args", "env", "enclos")] <- NULL - y -} - # try to write environment variables to an .Rprofile cat_profile <- function(key, value, path = "~") { r_profile <- file.path(normalizePath(path, mustWork = TRUE), diff --git a/inst/htmlwidgets/lib/plotlyjs/plotly-latest.min.js 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c=0;16>c;++c)n[c]=f[c];else o(n,f,p,(t-e[r])/u)}var g=this.computedUp;g[0]=n[1],g[1]=n[5],g[2]=n[6],d(g,g);var v=this.computedInverse;s(v,n);var m=this.computedEye,y=v[15];m[0]=v[12]/y,m[1]=v[13]/y,m[2]=v[14]/y;for(var b=this.computedCenter,x=Math.exp(this.computedRadius[0]),c=0;3>c;++c)b[c]=m[c]-n[2+4*c]*x}},g.idle=function(t){if(!(tn;++n)e.push(e[r++]);this._time.push(t)}},g.flush=function(t){var e=a.gt(this._time,t)-2;0>e||(this._time.slice(0,e),this._components.slice(0,16*e))},g.lastT=function(){return this._time[this._time.length-1]},g.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||p,n=n||this.computedUp,this.setMatrix(t,f(this.computedMatrix,e,r,n));for(var i=0,a=0;3>a;++a)i+=Math.pow(r[a]-e[a],2);i=Math.log(Math.sqrt(i)),this.computedRadius[0]=i},g.rotate=function(t,e,r,n){this.recalcMatrix(t);var i=this.computedInverse;e&&c(i,i,e),r&&l(i,i,r),n&&u(i,i,n),this.setMatrix(t,s(this.computedMatrix,i))};var v=[0,0,0];g.pan=function(t,e,r,n){v[0]=-(e||0),v[1]=-(r||0),v[2]=-(n||0),this.recalcMatrix(t);var i=this.computedInverse;h(i,i,v),this.setMatrix(t,s(i,i))},g.translate=function(t,e,r,n){v[0]=e||0,v[1]=r||0,v[2]=n||0,this.recalcMatrix(t);var i=this.computedMatrix;h(i,i,v),this.setMatrix(t,i)},g.setMatrix=function(t,e){if(!(tr;++r)this._components.push(e[r])}},g.setDistance=function(t,e){this.computedRadius[0]=e},g.setDistanceLimits=function(t,e){var r=this._limits;r[0]=t,r[1]=e},g.getDistanceLimits=function(t){var e=this._limits;return t?(t[0]=e[0],t[1]=e[1],t):e}},{"binary-search-bounds":29,"gl-mat4/invert":96,"gl-mat4/lookAt":97,"gl-mat4/rotateX":101,"gl-mat4/rotateY":102,"gl-mat4/rotateZ":103,"gl-mat4/scale":104,"gl-mat4/translate":105,"gl-vec3/normalize":27,"mat4-interpolate":30}],29:[function(t,e,r){arguments[4][21][0].apply(r,arguments)},{dup:21}],30:[function(t,e,r){function n(t,e,r,n){if(0===u(e)||0===u(r))return!1;var i=c(e,h.translate,h.scale,h.skew,h.perspective,h.quaternion),a=c(r,d.translate,d.scale,d.skew,d.perspective,d.quaternion);return i&&a?(s(p.translate,h.translate,d.translate,n),s(p.skew,h.skew,d.skew,n),s(p.scale,h.scale,d.scale,n),s(p.perspective,h.perspective,d.perspective,n),f(p.quaternion,h.quaternion,d.quaternion,n),l(t,p.translate,p.scale,p.skew,p.perspective,p.quaternion),!0):!1}function i(){return{translate:a(),scale:a(1),skew:a(),perspective:o(),quaternion:o()}}function a(t){return[t||0,t||0,t||0]}function o(){return[0,0,0,1]}var s=t("gl-vec3/lerp"),l=t("mat4-recompose"),c=t("mat4-decompose"),u=t("gl-mat4/determinant"),f=t("quat-slerp"),h=i(),d=i(),p=i();e.exports=n},{"gl-mat4/determinant":92,"gl-vec3/lerp":26,"mat4-decompose":31,"mat4-recompose":33,"quat-slerp":34}],31:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3];return t[0]=r[0]*n+r[4]*i+r[8]*a+r[12]*o,t[1]=r[1]*n+r[5]*i+r[9]*a+r[13]*o,t[2]=r[2]*n+r[6]*i+r[10]*a+r[14]*o,t[3]=r[3]*n+r[7]*i+r[11]*a+r[15]*o,t}function i(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}function a(t,e,r,n,i){t[0]=e[0]*n+r[0]*i,t[1]=e[1]*n+r[1]*i,t[2]=e[2]*n+r[2]*i}var o=t("./normalize"),s=t("gl-mat4/create"),l=t("gl-mat4/clone"),c=t("gl-mat4/determinant"),u=t("gl-mat4/invert"),f=t("gl-mat4/transpose"),h={length:t("gl-vec3/length"),normalize:t("gl-vec3/normalize"),dot:t("gl-vec3/dot"),cross:t("gl-vec3/cross")},d=s(),p=s(),g=[0,0,0,0],v=[[0,0,0],[0,0,0],[0,0,0]],m=[0,0,0];e.exports=function(t,e,r,s,y,b){if(e||(e=[0,0,0]),r||(r=[0,0,0]),s||(s=[0,0,0]),y||(y=[0,0,0,1]),b||(b=[0,0,0,1]),!o(d,t))return!1;if(l(p,d),p[3]=0,p[7]=0,p[11]=0,p[15]=1,Math.abs(c(p)<1e-8))return!1;var x=d[3],_=d[7],w=d[11],k=d[12],A=d[13],M=d[14],T=d[15];if(0!==x||0!==_||0!==w){g[0]=x,g[1]=_,g[2]=w,g[3]=T;var E=u(p,p);if(!E)return!1;f(p,p),n(y,g,p)}else y[0]=y[1]=y[2]=0,y[3]=1;if(e[0]=k,e[1]=A,e[2]=M,i(v,d),r[0]=h.length(v[0]),h.normalize(v[0],v[0]),s[0]=h.dot(v[0],v[1]),a(v[1],v[1],v[0],1,-s[0]),r[1]=h.length(v[1]),h.normalize(v[1],v[1]),s[0]/=r[1],s[1]=h.dot(v[0],v[2]),a(v[2],v[2],v[0],1,-s[1]),s[2]=h.dot(v[1],v[2]),a(v[2],v[2],v[1],1,-s[2]),r[2]=h.length(v[2]),h.normalize(v[2],v[2]),s[1]/=r[2],s[2]/=r[2],h.cross(m,v[1],v[2]),h.dot(v[0],m)<0)for(var L=0;3>L;L++)r[L]*=-1,v[L][0]*=-1,v[L][1]*=-1,v[L][2]*=-1;return b[0]=.5*Math.sqrt(Math.max(1+v[0][0]-v[1][1]-v[2][2],0)),b[1]=.5*Math.sqrt(Math.max(1-v[0][0]+v[1][1]-v[2][2],0)),b[2]=.5*Math.sqrt(Math.max(1-v[0][0]-v[1][1]+v[2][2],0)),b[3]=.5*Math.sqrt(Math.max(1+v[0][0]+v[1][1]+v[2][2],0)),v[2][1]>v[1][2]&&(b[0]=-b[0]),v[0][2]>v[2][0]&&(b[1]=-b[1]),v[1][0]>v[0][1]&&(b[2]=-b[2]),!0}},{"./normalize":32,"gl-mat4/clone":90,"gl-mat4/create":91,"gl-mat4/determinant":92,"gl-mat4/invert":96,"gl-mat4/transpose":106,"gl-vec3/cross":23,"gl-vec3/dot":24,"gl-vec3/length":25,"gl-vec3/normalize":27}],32:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,i=0;16>i;i++)t[i]=e[i]*n;return!0}},{}],33:[function(t,e,r){var n={identity:t("gl-mat4/identity"),translate:t("gl-mat4/translate"),multiply:t("gl-mat4/multiply"),create:t("gl-mat4/create"),scale:t("gl-mat4/scale"),fromRotationTranslation:t("gl-mat4/fromRotationTranslation")},i=(n.create(),n.create());e.exports=function(t,e,r,a,o,s){return n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(i),0!==a[2]&&(i[9]=a[2],n.multiply(t,t,i)),0!==a[1]&&(i[9]=0,i[8]=a[1],n.multiply(t,t,i)),0!==a[0]&&(i[8]=0,i[4]=a[0],n.multiply(t,t,i)),n.scale(t,t,r),t}},{"gl-mat4/create":91,"gl-mat4/fromRotationTranslation":94,"gl-mat4/identity":95,"gl-mat4/multiply":98,"gl-mat4/scale":104,"gl-mat4/translate":105}],34:[function(t,e,r){e.exports=t("gl-quat/slerp")},{"gl-quat/slerp":35}],35:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],d=r[0],p=r[1],g=r[2],v=r[3];return a=c*d+u*p+f*g+h*v,0>a&&(a=-a,d=-d,p=-p,g=-g,v=-v),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*c+l*d,t[1]=s*u+l*p,t[2]=s*f+l*g,t[3]=s*h+l*v,t}e.exports=n},{}],36:[function(t,e,r){"use strict";function n(t,e,r,n,i,a,o,s,l,c){var u=e+a+c;if(f>0){var f=Math.sqrt(u+1);t[0]=.5*(o-l)/f,t[1]=.5*(s-n)/f,t[2]=.5*(r-a)/f,t[3]=.5*f}else{var h=Math.max(e,a,c),f=Math.sqrt(2*h-u+1);e>=h?(t[0]=.5*f,t[1]=.5*(i+r)/f,t[2]=.5*(s+n)/f,t[3]=.5*(o-l)/f):a>=h?(t[0]=.5*(r+i)/f,t[1]=.5*f,t[2]=.5*(l+o)/f,t[3]=.5*(s-n)/f):(t[0]=.5*(n+s)/f,t[1]=.5*(o+l)/f,t[2]=.5*f,t[3]=.5*(r-i)/f)}return t}e.exports=n},{}],37:[function(t,e,r){"use strict";function n(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function i(t,e,r,n){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function a(t,e){var r=e[0],n=e[1],a=e[2],o=e[3],s=i(r,n,a,o);s>1e-6?(t[0]=r/s,t[1]=n/s,t[2]=a/s,t[3]=o/s):(t[0]=t[1]=t[2]=0,t[3]=1)}function o(t,e,r){this.radius=l([r]),this.center=l(e),this.rotation=l(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}function s(t){t=t||{};var e=t.center||[0,0,0],r=t.rotation||[0,0,0,1],n=t.radius||1;e=[].slice.call(e,0,3),r=[].slice.call(r,0,4),a(r,r);var i=new o(r,e,Math.log(n));return i.setDistanceLimits(t.zoomMin,t.zoomMax),("eye"in t||"up"in t)&&i.lookAt(0,t.eye,t.center,t.up),i}e.exports=s;var l=t("filtered-vector"),c=t("gl-mat4/lookAt"),u=t("gl-mat4/fromQuat"),f=t("gl-mat4/invert"),h=t("./lib/quatFromFrame"),d=o.prototype;d.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},d.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;a(e,e);var r=this.computedMatrix;u(r,e);var n=this.computedCenter,i=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);i[0]=n[0]+s*r[2],i[1]=n[1]+s*r[6],i[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;3>l;++l){for(var c=0,f=0;3>f;++f)c+=r[l+4*f]*i[f];r[12+l]=-c}},d.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;16>n;++n)e[n]=r[n];return e}return r},d.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},d.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},d.pan=function(t,e,r,i){e=e||0,r=r||0,i=i||0,this.recalcMatrix(t);var a=this.computedMatrix,o=a[1],s=a[5],l=a[9],c=n(o,s,l);o/=c,s/=c,l/=c;var u=a[0],f=a[4],h=a[8],d=u*o+f*s+h*l;u-=o*d,f-=s*d,h-=l*d;var p=n(u,f,h);u/=p,f/=p,h/=p;var g=a[2],v=a[6],m=a[10],y=g*o+v*s+m*l,b=g*u+v*f+m*h;g-=y*o+b*u,v-=y*s+b*f,m-=y*l+b*h;var x=n(g,v,m);g/=x,v/=x,m/=x;var _=u*e+o*r,w=f*e+s*r,k=h*e+l*r;this.center.move(t,_,w,k);var A=Math.exp(this.computedRadius[0]);A=Math.max(1e-4,A+i),this.radius.set(t,Math.log(A))},d.rotate=function(t,e,r,a){this.recalcMatrix(t),e=e||0,r=r||0;var o=this.computedMatrix,s=o[0],l=o[4],c=o[8],u=o[1],f=o[5],h=o[9],d=o[2],p=o[6],g=o[10],v=e*s+r*u,m=e*l+r*f,y=e*c+r*h,b=-(p*y-g*m),x=-(g*v-d*y),_=-(d*m-p*v),w=Math.sqrt(Math.max(0,1-Math.pow(b,2)-Math.pow(x,2)-Math.pow(_,2))),k=i(b,x,_,w);k>1e-6?(b/=k,x/=k,_/=k,w/=k):(b=x=_=0,w=1);var A=this.computedRotation,M=A[0],T=A[1],E=A[2],L=A[3],S=M*w+L*b+T*_-E*x,C=T*w+L*x+E*b-M*_,z=E*w+L*_+M*x-T*b,P=L*w-M*b-T*x-E*_;if(a){b=d,x=p,_=g;var R=Math.sin(a)/n(b,x,_);b*=R,x*=R,_*=R,w=Math.cos(e),S=S*w+P*b+C*_-z*x,C=C*w+P*x+z*b-S*_,z=z*w+P*_+S*x-C*b,P=P*w-S*b-C*x-z*_}var O=i(S,C,z,P);O>1e-6?(S/=O,C/=O,z/=O,P/=O):(S=C=z=0,P=1),this.rotation.set(t,S,C,z,P)},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var i=this.computedMatrix;c(i,e,r,n);var o=this.computedRotation;h(o,i[0],i[1],i[2],i[4],i[5],i[6],i[8],i[9],i[10]),a(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var s=0,l=0;3>l;++l)s+=Math.pow(r[l]-e[l],2);this.radius.set(t,.5*Math.log(Math.max(s,1e-6))),this.center.set(t,r[0],r[1],r[2])},d.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},d.setMatrix=function(t,e){var r=this.computedRotation;h(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),a(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;f(n,e);var i=n[15];if(Math.abs(i)>1e-6){var o=n[12]/i,s=n[13]/i,l=n[14]/i;this.recalcMatrix(t);var c=Math.exp(this.computedRadius[0]);this.center.set(t,o-n[2]*c,s-n[6]*c,l-n[10]*c),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},d.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},d.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-(1/0),e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},d.getDistanceLimits=function(t){var e=this.radius.bounds; -return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},d.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},d.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{"./lib/quatFromFrame":36,"filtered-vector":20,"gl-mat4/fromQuat":93,"gl-mat4/invert":96,"gl-mat4/lookAt":97}],38:[function(t,e,r){"use strict";function n(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function i(t){return Math.min(1,Math.max(-1,t))}function a(t){var e=Math.abs(t[0]),r=Math.abs(t[1]),n=Math.abs(t[2]),i=[0,0,0];e>Math.max(r,n)?i[2]=1:r>Math.max(e,n)?i[0]=1:i[1]=1;for(var a=0,o=0,s=0;3>s;++s)a+=t[s]*t[s],o+=i[s]*t[s];for(var s=0;3>s;++s)i[s]-=o/a*t[s];return h(i,i),i}function o(t,e,r,n,i,a,o,s){this.center=l(r),this.up=l(n),this.right=l(i),this.radius=l([a]),this.angle=l([o,s]),this.angle.bounds=[[-(1/0),-Math.PI/2],[1/0,Math.PI/2]],this.setDistanceLimits(t,e),this.computedCenter=this.center.curve(0),this.computedUp=this.up.curve(0),this.computedRight=this.right.curve(0),this.computedRadius=this.radius.curve(0),this.computedAngle=this.angle.curve(0),this.computedToward=[0,0,0],this.computedEye=[0,0,0],this.computedMatrix=new Array(16);for(var c=0;16>c;++c)this.computedMatrix[c]=.5;this.recalcMatrix(0)}function s(t){t=t||{};var e=t.center||[0,0,0],r=t.up||[0,1,0],i=t.right||a(r),s=t.radius||1,l=t.theta||0,c=t.phi||0;if(e=[].slice.call(e,0,3),r=[].slice.call(r,0,3),h(r,r),i=[].slice.call(i,0,3),h(i,i),"eye"in t){var u=t.eye,p=[u[0]-e[0],u[1]-e[1],u[2]-e[2]];f(i,p,r),n(i[0],i[1],i[2])<1e-6?i=a(r):h(i,i),s=n(p[0],p[1],p[2]);var 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d=Math.exp(this.computedRadius[0]),p=this.computedAngle[0],g=this.computedAngle[1],v=Math.cos(p),m=Math.sin(p),y=Math.cos(g),b=Math.sin(g),x=this.computedCenter,_=v*y,w=m*y,k=b,A=-v*b,M=-m*b,T=y,E=this.computedEye,L=this.computedMatrix,o=0;3>o;++o){var S=_*r[o]+w*u[o]+k*e[o];L[4*o+1]=A*r[o]+M*u[o]+T*e[o],L[4*o+2]=S,L[4*o+3]=0}var C=L[1],z=L[5],P=L[9],R=L[2],O=L[6],I=L[10],N=z*I-P*O,j=P*R-C*I,F=C*O-z*R,D=n(N,j,F);N/=D,j/=D,F/=D,L[0]=N,L[4]=j,L[8]=F;for(var o=0;3>o;++o)E[o]=x[o]+L[2+4*o]*d;for(var o=0;3>o;++o){for(var l=0,B=0;3>B;++B)l+=L[o+4*B]*E[B];L[12+o]=-l}L[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;16>n;++n)e[n]=r[n];return e}return r};var g=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;g[0]=i[2],g[1]=i[6],g[2]=i[10];for(var a=this.computedUp,o=this.computedRight,s=this.computedToward,l=0;3>l;++l)i[4*l]=a[l],i[4*l+1]=o[l],i[4*l+2]=s[l];u(i,i,n,g);for(var l=0;3>l;++l)a[l]=i[4*l],o[l]=i[4*l+1];this.up.set(t,a[0],a[1],a[2]),this.right.set(t,o[0],o[1],o[2])}},p.pan=function(t,e,r,i){e=e||0,r=r||0,i=i||0,this.recalcMatrix(t);var a=this.computedMatrix,o=(Math.exp(this.computedRadius[0]),a[1]),s=a[5],l=a[9],c=n(o,s,l);o/=c,s/=c,l/=c;var u=a[0],f=a[4],h=a[8],d=u*o+f*s+h*l;u-=o*d,f-=s*d,h-=l*d;var p=n(u,f,h);u/=p,f/=p,h/=p;var g=u*e+o*r,v=f*e+s*r,m=h*e+l*r;this.center.move(t,g,v,m);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+i),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,a){var o=1;"number"==typeof r&&(o=0|r),(0>o||o>3)&&(o=1);var s=(o+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var l=e[o],u=e[o+4],f=e[o+8];if(a){var h=Math.abs(l),d=Math.abs(u),p=Math.abs(f),g=Math.max(h,d,p);h===g?(l=0>l?-1:1,u=f=0):p===g?(f=0>f?-1:1,l=u=0):(u=0>u?-1:1,l=f=0)}else{var v=n(l,u,f);l/=v,u/=v,f/=v}var m=e[s],y=e[s+4],b=e[s+8],x=m*l+y*u+b*f;m-=l*x,y-=u*x,b-=f*x;var _=n(m,y,b);m/=_,y/=_,b/=_;var w=u*b-f*y,k=f*m-l*b,A=l*y-u*m,M=n(w,k,A);w/=M,k/=M,A/=M,this.center.jump(t,H,G,Y),this.radius.idle(t),this.up.jump(t,l,u,f),this.right.jump(t,m,y,b);var T,E;if(2===o){var L=e[1],S=e[5],C=e[9],z=L*m+S*y+C*b,P=L*w+S*k+C*A;T=0>N?-Math.PI/2:Math.PI/2,E=Math.atan2(P,z)}else{var R=e[2],O=e[6],I=e[10],N=R*l+O*u+I*f,j=R*m+O*y+I*b,F=R*w+O*k+I*A;T=Math.asin(i(N)),E=Math.atan2(F,j)}this.angle.jump(t,E,T),this.recalcMatrix(t);var D=e[2],B=e[6],U=e[10],V=this.computedMatrix;c(V,e);var q=V[15],H=V[12]/q,G=V[13]/q,Y=V[14]/q,X=Math.exp(this.computedRadius[0]);this.center.jump(t,H-D*X,G-B*X,Y-U*X)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,a){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter,a=a||this.computedUp;var o=a[0],s=a[1],l=a[2],c=n(o,s,l);if(!(1e-6>c)){o/=c,s/=c,l/=c;var u=e[0]-r[0],f=e[1]-r[1],h=e[2]-r[2],d=n(u,f,h);if(!(1e-6>d)){u/=d,f/=d,h/=d;var p=this.computedRight,g=p[0],v=p[1],m=p[2],y=o*g+s*v+l*m;g-=y*o,v-=y*s,m-=y*l;var b=n(g,v,m);if(!(.01>b&&(g=s*h-l*f,v=l*u-o*h,m=o*f-s*u,b=n(g,v,m),1e-6>b))){g/=b,v/=b,m/=b,this.up.set(t,o,s,l),this.right.set(t,g,v,m),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(d));var x=s*m-l*v,_=l*g-o*m,w=o*v-s*g,k=n(x,_,w);x/=k,_/=k,w/=k;var A=o*u+s*f+l*h,M=g*u+v*f+m*h,T=x*u+_*f+w*h,E=Math.asin(i(A)),L=Math.atan2(T,M),S=this.angle._state,C=S[S.length-1],z=S[S.length-2];C%=2*Math.PI;var P=Math.abs(C+2*Math.PI-L),R=Math.abs(C-L),O=Math.abs(C-2*Math.PI-L);R>P&&(C+=2*Math.PI),R>O&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,z),this.angle.set(t,L,E)}}}}},{"filtered-vector":20,"gl-mat4/invert":96,"gl-mat4/rotate":100,"gl-vec3/cross":23,"gl-vec3/dot":24,"gl-vec3/normalize":27}],39:[function(t,e,r){"use strict";function n(t,e){this._controllerNames=Object.keys(t),this._controllerList=this._controllerNames.map(function(e){return 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b[0]=.5*Math.sqrt(Math.max(1+v[0][0]-v[1][1]-v[2][2],0)),b[1]=.5*Math.sqrt(Math.max(1-v[0][0]+v[1][1]-v[2][2],0)),b[2]=.5*Math.sqrt(Math.max(1-v[0][0]-v[1][1]+v[2][2],0)),b[3]=.5*Math.sqrt(Math.max(1+v[0][0]+v[1][1]+v[2][2],0)),v[2][1]>v[1][2]&&(b[0]=-b[0]),v[0][2]>v[2][0]&&(b[1]=-b[1]),v[1][0]>v[0][1]&&(b[2]=-b[2]),!0}},{"./normalize":32,"gl-mat4/clone":90,"gl-mat4/create":91,"gl-mat4/determinant":92,"gl-mat4/invert":96,"gl-mat4/transpose":106,"gl-vec3/cross":23,"gl-vec3/dot":24,"gl-vec3/length":25,"gl-vec3/normalize":27}],32:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,i=0;16>i;i++)t[i]=e[i]*n;return!0}},{}],33:[function(t,e,r){var n={identity:t("gl-mat4/identity"),translate:t("gl-mat4/translate"),multiply:t("gl-mat4/multiply"),create:t("gl-mat4/create"),scale:t("gl-mat4/scale"),fromRotationTranslation:t("gl-mat4/fromRotationTranslation")},i=(n.create(),n.create());e.exports=function(t,e,r,a,o,s){return n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(i),0!==a[2]&&(i[9]=a[2],n.multiply(t,t,i)),0!==a[1]&&(i[9]=0,i[8]=a[1],n.multiply(t,t,i)),0!==a[0]&&(i[8]=0,i[4]=a[0],n.multiply(t,t,i)),n.scale(t,t,r),t}},{"gl-mat4/create":91,"gl-mat4/fromRotationTranslation":94,"gl-mat4/identity":95,"gl-mat4/multiply":98,"gl-mat4/scale":104,"gl-mat4/translate":105}],34:[function(t,e,r){e.exports=t("gl-quat/slerp")},{"gl-quat/slerp":35}],35:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],d=r[0],p=r[1],g=r[2],v=r[3];return a=c*d+u*p+f*g+h*v,0>a&&(a=-a,d=-d,p=-p,g=-g,v=-v),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*c+l*d,t[1]=s*u+l*p,t[2]=s*f+l*g,t[3]=s*h+l*v,t}e.exports=n},{}],36:[function(t,e,r){"use strict";function n(t,e,r,n,i,a,o,s,l,c){var u=e+a+c;if(f>0){var f=Math.sqrt(u+1);t[0]=.5*(o-l)/f,t[1]=.5*(s-n)/f,t[2]=.5*(r-a)/f,t[3]=.5*f}else{var h=Math.max(e,a,c),f=Math.sqrt(2*h-u+1);e>=h?(t[0]=.5*f,t[1]=.5*(i+r)/f,t[2]=.5*(s+n)/f,t[3]=.5*(o-l)/f):a>=h?(t[0]=.5*(r+i)/f,t[1]=.5*f,t[2]=.5*(l+o)/f,t[3]=.5*(s-n)/f):(t[0]=.5*(n+s)/f,t[1]=.5*(o+l)/f,t[2]=.5*f,t[3]=.5*(r-i)/f)}return t}e.exports=n},{}],37:[function(t,e,r){"use strict";function n(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function i(t,e,r,n){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function a(t,e){var r=e[0],n=e[1],a=e[2],o=e[3],s=i(r,n,a,o);s>1e-6?(t[0]=r/s,t[1]=n/s,t[2]=a/s,t[3]=o/s):(t[0]=t[1]=t[2]=0,t[3]=1)}function o(t,e,r){this.radius=l([r]),this.center=l(e),this.rotation=l(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}function s(t){t=t||{};var e=t.center||[0,0,0],r=t.rotation||[0,0,0,1],n=t.radius||1;e=[].slice.call(e,0,3),r=[].slice.call(r,0,4),a(r,r);var i=new o(r,e,Math.log(n));return i.setDistanceLimits(t.zoomMin,t.zoomMax),("eye"in t||"up"in t)&&i.lookAt(0,t.eye,t.center,t.up),i}e.exports=s;var l=t("filtered-vector"),c=t("gl-mat4/lookAt"),u=t("gl-mat4/fromQuat"),f=t("gl-mat4/invert"),h=t("./lib/quatFromFrame"),d=o.prototype;d.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},d.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;a(e,e);var r=this.computedMatrix;u(r,e);var n=this.computedCenter,i=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);i[0]=n[0]+s*r[2],i[1]=n[1]+s*r[6],i[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;3>l;++l){for(var c=0,f=0;3>f;++f)c+=r[l+4*f]*i[f];r[12+l]=-c}},d.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;16>n;++n)e[n]=r[n];return e}return r},d.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},d.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},d.pan=function(t,e,r,i){e=e||0,r=r||0,i=i||0,this.recalcMatrix(t);var a=this.computedMatrix,o=a[1],s=a[5],l=a[9],c=n(o,s,l);o/=c,s/=c,l/=c;var u=a[0],f=a[4],h=a[8],d=u*o+f*s+h*l;u-=o*d,f-=s*d,h-=l*d;var p=n(u,f,h);u/=p,f/=p,h/=p;var g=a[2],v=a[6],m=a[10],y=g*o+v*s+m*l,b=g*u+v*f+m*h;g-=y*o+b*u,v-=y*s+b*f,m-=y*l+b*h;var x=n(g,v,m);g/=x,v/=x,m/=x;var _=u*e+o*r,w=f*e+s*r,k=h*e+l*r;this.center.move(t,_,w,k);var A=Math.exp(this.computedRadius[0]);A=Math.max(1e-4,A+i),this.radius.set(t,Math.log(A))},d.rotate=function(t,e,r,a){this.recalcMatrix(t),e=e||0,r=r||0;var o=this.computedMatrix,s=o[0],l=o[4],c=o[8],u=o[1],f=o[5],h=o[9],d=o[2],p=o[6],g=o[10],v=e*s+r*u,m=e*l+r*f,y=e*c+r*h,b=-(p*y-g*m),x=-(g*v-d*y),_=-(d*m-p*v),w=Math.sqrt(Math.max(0,1-Math.pow(b,2)-Math.pow(x,2)-Math.pow(_,2))),k=i(b,x,_,w);k>1e-6?(b/=k,x/=k,_/=k,w/=k):(b=x=_=0,w=1);var A=this.computedRotation,M=A[0],T=A[1],E=A[2],L=A[3],S=M*w+L*b+T*_-E*x,C=T*w+L*x+E*b-M*_,z=E*w+L*_+M*x-T*b,P=L*w-M*b-T*x-E*_;if(a){b=d,x=p,_=g;var R=Math.sin(a)/n(b,x,_);b*=R,x*=R,_*=R,w=Math.cos(e),S=S*w+P*b+C*_-z*x,C=C*w+P*x+z*b-S*_,z=z*w+P*_+S*x-C*b,P=P*w-S*b-C*x-z*_}var O=i(S,C,z,P);O>1e-6?(S/=O,C/=O,z/=O,P/=O):(S=C=z=0,P=1),this.rotation.set(t,S,C,z,P)},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var i=this.computedMatrix;c(i,e,r,n);var o=this.computedRotation;h(o,i[0],i[1],i[2],i[4],i[5],i[6],i[8],i[9],i[10]),a(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var s=0,l=0;3>l;++l)s+=Math.pow(r[l]-e[l],2);this.radius.set(t,.5*Math.log(Math.max(s,1e-6))),this.center.set(t,r[0],r[1],r[2])},d.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},d.setMatrix=function(t,e){var r=this.computedRotation;h(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),a(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;f(n,e);var i=n[15];if(Math.abs(i)>1e-6){var o=n[12]/i,s=n[13]/i,l=n[14]/i;this.recalcMatrix(t);var c=Math.exp(this.computedRadius[0]);this.center.set(t,o-n[2]*c,s-n[6]*c,l-n[10]*c),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},d.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},d.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-(1/0),e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},d.getDistanceLimits=function(t){var e=this.radius.bounds; +return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},d.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},d.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{"./lib/quatFromFrame":36,"filtered-vector":20,"gl-mat4/fromQuat":93,"gl-mat4/invert":96,"gl-mat4/lookAt":97}],38:[function(t,e,r){"use strict";function n(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function i(t){return Math.min(1,Math.max(-1,t))}function a(t){var e=Math.abs(t[0]),r=Math.abs(t[1]),n=Math.abs(t[2]),i=[0,0,0];e>Math.max(r,n)?i[2]=1:r>Math.max(e,n)?i[0]=1:i[1]=1;for(var a=0,o=0,s=0;3>s;++s)a+=t[s]*t[s],o+=i[s]*t[s];for(var s=0;3>s;++s)i[s]-=o/a*t[s];return h(i,i),i}function o(t,e,r,n,i,a,o,s){this.center=l(r),this.up=l(n),this.right=l(i),this.radius=l([a]),this.angle=l([o,s]),this.angle.bounds=[[-(1/0),-Math.PI/2],[1/0,Math.PI/2]],this.setDistanceLimits(t,e),this.computedCenter=this.center.curve(0),this.computedUp=this.up.curve(0),this.computedRight=this.right.curve(0),this.computedRadius=this.radius.curve(0),this.computedAngle=this.angle.curve(0),this.computedToward=[0,0,0],this.computedEye=[0,0,0],this.computedMatrix=new Array(16);for(var c=0;16>c;++c)this.computedMatrix[c]=.5;this.recalcMatrix(0)}function s(t){t=t||{};var e=t.center||[0,0,0],r=t.up||[0,1,0],i=t.right||a(r),s=t.radius||1,l=t.theta||0,c=t.phi||0;if(e=[].slice.call(e,0,3),r=[].slice.call(r,0,3),h(r,r),i=[].slice.call(i,0,3),h(i,i),"eye"in t){var u=t.eye,p=[u[0]-e[0],u[1]-e[1],u[2]-e[2]];f(i,p,r),n(i[0],i[1],i[2])<1e-6?i=a(r):h(i,i),s=n(p[0],p[1],p[2]);var g=d(r,p)/s,v=d(i,p)/s;c=Math.acos(g),l=Math.acos(v)}return s=Math.log(s),new o(t.zoomMin,t.zoomMax,e,r,i,s,l,c)}e.exports=s;var l=t("filtered-vector"),c=t("gl-mat4/invert"),u=t("gl-mat4/rotate"),f=t("gl-vec3/cross"),h=t("gl-vec3/normalize"),d=t("gl-vec3/dot"),p=o.prototype;p.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-(1/0),e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},p.getDistanceLimits=function(t){var e=this.radius.bounds[0];return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},p.recalcMatrix=function(t){this.center.curve(t),this.up.curve(t),this.right.curve(t),this.radius.curve(t),this.angle.curve(t);for(var e=this.computedUp,r=this.computedRight,i=0,a=0,o=0;3>o;++o)a+=e[o]*r[o],i+=e[o]*e[o];for(var s=Math.sqrt(i),l=0,o=0;3>o;++o)r[o]-=e[o]*a/i,l+=r[o]*r[o],e[o]/=s;for(var c=Math.sqrt(l),o=0;3>o;++o)r[o]/=c;var u=this.computedToward;f(u,e,r),h(u,u);for(var d=Math.exp(this.computedRadius[0]),p=this.computedAngle[0],g=this.computedAngle[1],v=Math.cos(p),m=Math.sin(p),y=Math.cos(g),b=Math.sin(g),x=this.computedCenter,_=v*y,w=m*y,k=b,A=-v*b,M=-m*b,T=y,E=this.computedEye,L=this.computedMatrix,o=0;3>o;++o){var S=_*r[o]+w*u[o]+k*e[o];L[4*o+1]=A*r[o]+M*u[o]+T*e[o],L[4*o+2]=S,L[4*o+3]=0}var C=L[1],z=L[5],P=L[9],R=L[2],O=L[6],I=L[10],N=z*I-P*O,j=P*R-C*I,F=C*O-z*R,D=n(N,j,F);N/=D,j/=D,F/=D,L[0]=N,L[4]=j,L[8]=F;for(var o=0;3>o;++o)E[o]=x[o]+L[2+4*o]*d;for(var o=0;3>o;++o){for(var l=0,B=0;3>B;++B)l+=L[o+4*B]*E[B];L[12+o]=-l}L[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;16>n;++n)e[n]=r[n];return e}return r};var g=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;g[0]=i[2],g[1]=i[6],g[2]=i[10];for(var a=this.computedUp,o=this.computedRight,s=this.computedToward,l=0;3>l;++l)i[4*l]=a[l],i[4*l+1]=o[l],i[4*l+2]=s[l];u(i,i,n,g);for(var l=0;3>l;++l)a[l]=i[4*l],o[l]=i[4*l+1];this.up.set(t,a[0],a[1],a[2]),this.right.set(t,o[0],o[1],o[2])}},p.pan=function(t,e,r,i){e=e||0,r=r||0,i=i||0,this.recalcMatrix(t);var a=this.computedMatrix,o=(Math.exp(this.computedRadius[0]),a[1]),s=a[5],l=a[9],c=n(o,s,l);o/=c,s/=c,l/=c;var u=a[0],f=a[4],h=a[8],d=u*o+f*s+h*l;u-=o*d,f-=s*d,h-=l*d;var p=n(u,f,h);u/=p,f/=p,h/=p;var g=u*e+o*r,v=f*e+s*r,m=h*e+l*r;this.center.move(t,g,v,m);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+i),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,a){var o=1;"number"==typeof r&&(o=0|r),(0>o||o>3)&&(o=1);var s=(o+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var l=e[o],u=e[o+4],f=e[o+8];if(a){var h=Math.abs(l),d=Math.abs(u),p=Math.abs(f),g=Math.max(h,d,p);h===g?(l=0>l?-1:1,u=f=0):p===g?(f=0>f?-1:1,l=u=0):(u=0>u?-1:1,l=f=0)}else{var v=n(l,u,f);l/=v,u/=v,f/=v}var m=e[s],y=e[s+4],b=e[s+8],x=m*l+y*u+b*f;m-=l*x,y-=u*x,b-=f*x;var _=n(m,y,b);m/=_,y/=_,b/=_;var w=u*b-f*y,k=f*m-l*b,A=l*y-u*m,M=n(w,k,A);w/=M,k/=M,A/=M,this.center.jump(t,H,G,Y),this.radius.idle(t),this.up.jump(t,l,u,f),this.right.jump(t,m,y,b);var T,E;if(2===o){var L=e[1],S=e[5],C=e[9],z=L*m+S*y+C*b,P=L*w+S*k+C*A;T=0>N?-Math.PI/2:Math.PI/2,E=Math.atan2(P,z)}else{var R=e[2],O=e[6],I=e[10],N=R*l+O*u+I*f,j=R*m+O*y+I*b,F=R*w+O*k+I*A;T=Math.asin(i(N)),E=Math.atan2(F,j)}this.angle.jump(t,E,T),this.recalcMatrix(t);var D=e[2],B=e[6],U=e[10],V=this.computedMatrix;c(V,e);var q=V[15],H=V[12]/q,G=V[13]/q,Y=V[14]/q,X=Math.exp(this.computedRadius[0]);this.center.jump(t,H-D*X,G-B*X,Y-U*X)},p.lastT=function(){return 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n(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1}function i(t,e){for(var r=0;3>r;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}function a(t,e,r,n){for(var i=h[n],a=0;a=1},f.isTransparent=function(){return this.opacity<1},f.drawTransparent=f.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||u,i=r.projection=t.projection||u;r.model=t.model||u,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],o=n[13],s=n[14],l=n[15],c=this.pixelRatio*(i[3]*a+i[7]*o+i[11]*s+i[15]*l)/e.drawingBufferHeight;this.vao.bind();for(var f=0;3>f;++f)e.lineWidth(this.lineWidth[f]),r.capSize=this.capSize[f]*c,e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var h=function(){for(var t=new Array(3),e=0;3>e;++e){for(var r=[],n=1;2>=n;++n)for(var i=-1;1>=i;i+=2){var a=(n+e)%3,o=[0,0,0];o[a]=i,r.push(o)}t[e]=r}return t}();f.update=function(t){t=t||{},"lineWidth"in t&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),"opacity"in t&&(this.opacity=t.opacity);var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var o=[],s=r.length,l=0;this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.lineCount=[0,0,0];for(var c=0;3>c;++c){this.lineOffset[c]=l;t:for(var u=0;s>u;++u){for(var f=r[u],h=0;3>h;++h)if(isNaN(f[h])||!isFinite(f[h]))continue t;var d=n[u],p=e[c];if(Array.isArray(p[0])&&(p=e[u]),3===p.length&&(p=[p[0],p[1],p[2],1]),!isNaN(d[0][c])&&!isNaN(d[1][c])){if(d[0][c]<0){var g=f.slice();g[c]+=d[0][c],o.push(f[0],f[1],f[2],p[0],p[1],p[2],p[3],0,0,0,g[0],g[1],g[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,g),l+=2+a(o,g,p,c)}if(d[1][c]>0){var g=f.slice();g[c]+=d[1][c],o.push(f[0],f[1],f[2],p[0],p[1],p[2],p[3],0,0,0,g[0],g[1],g[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,g),l+=2+a(o,g,p,c)}}}this.lineCount[c]=l-this.lineOffset[c]}this.buffer.update(o)}},f.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{"./shaders/index":81,"gl-buffer":77,"gl-vao":185}],81:[function(t,e,r){"use strict";var n=t("gl-shader"),i="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n vec4 worldPosition = model * vec4(position, 1.0);\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n gl_Position = projection * view * worldPosition;\n fragColor = color;\n fragPosition = position;\n}",a="precision mediump float;\n#define GLSLIFY 1\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n if(any(lessThan(fragPosition, clipBounds[0])) || any(greaterThan(fragPosition, clipBounds[1]))) {\n discard;\n }\n gl_FragColor = opacity * fragColor;\n}";e.exports=function(t){return n(t,i,a,null,[{name:"position",type:"vec3"},{name:"offset",type:"vec3"},{name:"color",type:"vec4"}])}},{"gl-shader":156}],82:[function(t,e,r){"use strict";function n(t){var e=t.getParameter(t.FRAMEBUFFER_BINDING),r=t.getParameter(t.RENDERBUFFER_BINDING),n=t.getParameter(t.TEXTURE_BINDING_2D);return[e,r,n]}function i(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function a(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);y=new Array(r+1);for(var n=0;r>=n;++n){for(var i=new Array(r),a=0;n>a;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(var a=n;r>a;++a)i[a]=t.NONE;y[n]=i}}function o(t){switch(t){case p:throw new Error("gl-fbo: Framebuffer unsupported");case g:throw new Error("gl-fbo: Framebuffer incomplete attachment");case v:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case m:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function s(t,e,r,n,i,a){if(!n)return null;var o=d(t,e,r,i,n);return o.magFilter=t.NEAREST,o.minFilter=t.NEAREST,o.mipSamples=1,o.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,a,t.TEXTURE_2D,o.handle,0),o}function l(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function c(t){var e=n(t.gl),r=t.gl,a=t.handle=r.createFramebuffer(),c=t._shape[0],u=t._shape[1],f=t.color.length,h=t._ext,d=t._useStencil,p=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,a);for(var v=0;f>v;++v)t.color[v]=s(r,c,u,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===f?(t._color_rb=l(r,c,u,r.RGBA4,r.COLOR_ATTACHMENT0),h&&h.drawBuffersWEBGL(y[0])):f>1&&h.drawBuffersWEBGL(y[f]);var m=r.getExtension("WEBGL_depth_texture");m?d?t.depth=s(r,c,u,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p&&(t.depth=s(r,c,u,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):p&&d?t._depth_rb=l(r,c,u,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p?t._depth_rb=l(r,c,u,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=l(r,c,u,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var b=r.checkFramebufferStatus(r.FRAMEBUFFER);if(b!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(var v=0;vl;++l)this.color[l]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var u=this,f=[0|e,0|r];Object.defineProperties(f,{0:{get:function(){return u._shape[0]},set:function(t){return u.width=t}},1:{get:function(){return u._shape[1]},set:function(t){return u.height=t}}}),this._shapeVector=f,c(this)}function f(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var a=t.gl,s=a.getParameter(a.MAX_RENDERBUFFER_SIZE);if(0>e||e>s||0>r||r>s)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var l=n(a),c=0;ce||e>o||0>r||r>o)throw new Error("gl-fbo: Parameters are too large for FBO");n=n||{};var s=1;if("color"in n){if(s=Math.max(0|n.color,0),0>s)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(s>1){if(!i)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(s>t.getParameter(i.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+s+" draw buffers")}}var l=t.UNSIGNED_BYTE,c=t.getExtension("OES_texture_float");if(n.float&&s>0){if(!c)throw new Error("gl-fbo: Context does not support floating point textures");l=t.FLOAT}else n.preferFloat&&s>0&&c&&(l=t.FLOAT);var f=!0;"depth"in n&&(f=!!n.depth);var h=!1;return"stencil"in n&&(h=!!n.stencil),new u(t,e,r,l,s,f,h,i)}var d=t("gl-texture2d");e.exports=h;var p,g,v,m,y=null,b=u.prototype;Object.defineProperties(b,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return f(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return t=0|t,f(this,t,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t=0|t,f(this,this._shape[0],t),t},enumerable:!1}}),b.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},b.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e2&&!this.usingDashes){var C=this.mitreShader;C.bind();var z=C.uniforms;z.matrix=t,z.color=s,z.screenShape=e,z.radius=l*p,C.attributes.p.pointer(f.FLOAT,!1,48,0),f.drawArrays(f.POINTS,0,u/3|0)}}}}(),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0],r=[0,0,0,0];return function(n){var i=this.plot,a=this.pickShader,o=this.lineBuffer,s=this.pickBuffer,l=this.width,c=this.numPoints,u=this.bounds,f=this.vertCount,h=i.gl,d=i.viewBox,p=i.dataBox,g=i.pickPixelRatio,v=u[2]-u[0],m=u[3]-u[1],y=p[2]-p[0],b=p[3]-p[1],x=d[2]-d[0],_=d[3]-d[1];if(this.pickOffset=n,!f)return n+c;t[0]=2*v/y,t[4]=2*m/b,t[6]=2*(u[0]-p[0])/y-1,t[7]=2*(u[1]-p[1])/b-1,e[0]=x,e[1]=_,r[0]=255&n,r[1]=n>>>8&255,r[2]=n>>>16&255,r[3]=n>>>24,a.bind();var w=a.uniforms;w.matrix=t,w.width=l*g,w.pickOffset=r,w.screenShape=e;var k=a.attributes;return o.bind(),k.a.pointer(h.FLOAT,!1,16,0),k.d.pointer(h.FLOAT,!1,16,8),s.bind(),k.pick0.pointer(h.UNSIGNED_BYTE,!1,8,0),k.pick1.pointer(h.UNSIGNED_BYTE,!1,8,4),h.drawArrays(h.TRIANGLES,0,f),n+c}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(n>r||r>=n+i)return null;var a=r-n,o=this.data;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},h.update=function(t){t=t||{};var e=this.plot.gl;!!t.connectGaps;this.color=(t.color||[0,0,1,1]).slice(),this.width=+(t.width||1),this.fill=(t.fill||[!1,!1,!1,!1]).slice(),this.fillColor=i(t.fillColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);for(var r=t.dashes||[1],n=0,a=0;a1,this.dashPattern=l(e,c(o,[n,1,4],[1,0,0])),this.dashPattern.minFilter=e.NEAREST,this.dashPattern.magFilter=e.NEAREST,this.dashLength=n,u.free(o);var d=t.positions;this.data=d;var p=this.bounds;p[0]=p[1]=1/0,p[2]=p[3]=-(1/0);var g=this.numPoints=d.length>>>1;if(0!==g){for(var a=0;g>a;++a){var v=d[2*a],m=d[2*a+1];isNaN(v)||isNaN(m)||(p[0]=Math.min(p[0],v),p[1]=Math.min(p[1],m),p[2]=Math.max(p[2],v),p[3]=Math.max(p[3],m))}p[0]===p[2]&&(p[2]+=1),p[3]===p[1]&&(p[3]+=1);for(var y=u.mallocFloat32(24*(g-1)),b=u.mallocUint32(12*(g-1)),x=y.length,_=b.length,s=g,w=0;s>1;){var k=--s,v=d[2*s],m=d[2*s+1],A=k-1,M=d[2*A],T=d[2*A+1];if(!(isNaN(v)||isNaN(m)||isNaN(M)||isNaN(T))){w+=1,v=(v-p[0])/(p[2]-p[0]),m=(m-p[1])/(p[3]-p[1]),M=(M-p[0])/(p[2]-p[0]),T=(T-p[1])/(p[3]-p[1]);var E=M-v,L=T-m,S=k|1<<24,C=k-1,z=k,P=k-1|1<<24;y[--x]=-L,y[--x]=-E,y[--x]=m,y[--x]=v,b[--_]=S,b[--_]=C,y[--x]=L,y[--x]=E,y[--x]=T,y[--x]=M,b[--_]=z,b[--_]=P,y[--x]=-L,y[--x]=-E,y[--x]=T,y[--x]=M,b[--_]=z,b[--_]=P,y[--x]=L,y[--x]=E,y[--x]=T,y[--x]=M,b[--_]=z,b[--_]=P,y[--x]=-L,y[--x]=-E,y[--x]=m,y[--x]=v,b[--_]=S,b[--_]=C,y[--x]=L,y[--x]=E,y[--x]=m,y[--x]=v,b[--_]=S,b[--_]=C}}this.vertCount=6*w,this.lineBuffer.update(y.subarray(x)),this.pickBuffer.update(b.subarray(_)),u.free(y),u.free(b)}},h.dispose=function(){this.plot.removeObject(this),this.lineBuffer.dispose(),this.pickBuffer.dispose(),this.lineShader.dispose(),this.mitreShader.dispose(),this.fillShader.dispose(),this.pickShader.dispose(),this.dashPattern.dispose()}},{"./lib/shaders":83,"gl-buffer":77,"gl-shader":156,"gl-texture2d":181,ndarray:212,"typedarray-pool":237}],85:[function(t,e,r){var n=t("gl-shader"),i="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvoid main() {\n vec4 projected = projection * view * model * vec4(position, 1.0);\n vec4 tangentClip = projection * view * model * vec4(nextPosition - position, 0.0);\n vec2 tangent = normalize(screenShape * tangentClip.xy);\n vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(tangent.y, -tangent.x) / screenShape;\n\n gl_Position = vec4(projected.xy + projected.w * offset, projected.zw);\n\n worldPosition = position;\n pixelArcLength = arcLength;\n fragColor = color;\n}\n",a="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float dashScale;\nuniform float opacity;\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\n discard;\n }\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n if(dashWeight < 0.5) {\n discard;\n }\n gl_FragColor = fragColor * opacity;\n}\n",o="precision mediump float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX 1.70141184e38\n#define FLOAT_MIN 1.17549435e-38\n\nlowp vec4 encode_float_1_0(highp float v) {\n highp float av = abs(v);\n\n //Handle special cases\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n }\n\n highp vec4 c = vec4(0,0,0,0);\n\n //Compute exponent and mantissa\n highp float e = floor(log2(av));\n highp float m = av * pow(2.0, -e) - 1.0;\n \n //Unpack mantissa\n c[1] = floor(128.0 * m);\n m -= c[1] / 128.0;\n c[2] = floor(32768.0 * m);\n m -= c[2] / 32768.0;\n c[3] = floor(8388608.0 * m);\n \n //Unpack exponent\n highp float ebias = e + 127.0;\n c[0] = floor(ebias / 2.0);\n ebias -= c[0] * 2.0;\n c[1] += floor(ebias) * 128.0; \n\n //Unpack sign bit\n c[0] += 128.0 * step(0.0, -v);\n\n //Scale back to range\n return c / 255.0;\n}\n\n\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\n discard;\n }\n gl_FragColor = vec4(pickId/255.0, encode_float_1_0(pixelArcLength).xyz);\n}",s=[{ name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];r.createShader=function(t){return n(t,i,a,null,s)},r.createPickShader=function(t){return n(t,i,o,null,s)}},{"gl-shader":156}],86:[function(t,e,r){"use strict";function n(t,e){for(var r=0,n=0;3>n;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function i(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;3>r;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function a(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function o(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.dirty=!0,this.pixelRatio=1}function s(t){var e=t.gl||t.scene&&t.scene.gl,r=g(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var n=v(e);n.attributes.position.location=0,n.attributes.nextPosition.location=1,n.attributes.arcLength.location=2,n.attributes.lineWidth.location=3,n.attributes.color.location=4;for(var i=l(e),a=c(e,[{buffer:i,size:3,offset:0,stride:48},{buffer:i,size:3,offset:12,stride:48},{buffer:i,size:1,offset:24,stride:48},{buffer:i,size:1,offset:28,stride:48},{buffer:i,size:4,offset:32,stride:48}]),s=d(new Array(1024),[256,1,4]),f=0;1024>f;++f)s.data[f]=255;var h=u(e,s);h.wrap=e.REPEAT;var p=new o(e,r,n,i,a,h);return p.update(t),p}e.exports=s;var l=t("gl-buffer"),c=t("gl-vao"),u=t("gl-texture2d"),f=t("glsl-read-float"),h=t("binary-search-bounds"),d=t("ndarray"),p=t("./lib/shaders"),g=p.createShader,v=p.createPickShader,m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],y=o.prototype;y.isTransparent=function(){return this.opacity<1},y.isOpaque=function(){return this.opacity>=1},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||m,view:t.view||m,projection:t.projection||m,clipBounds:i(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.drawPick=function(t){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||m,view:t.view||m,projection:t.projection||m,pickId:this.pickId,clipBounds:i(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.update=function(t){var e,r;this.dirty=!0;var i=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),"opacity"in t&&(this.opacity=+t.opacity);var a=t.position||t.positions;if(a){var 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t){var A=t.dashes,M=A.slice();for(M.unshift(0),e=1;ee;++e){for(r=0;4>r;++r)T.set(e,0,r,0);1&h.le(M,M[M.length-1]*e/255)?T.set(e,0,0,0):T.set(e,0,0,255)}this.texture.setPixels(T)}}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=f(t.value[0],t.value[1],t.value[2],0),r=h.le(this.arcLength,e);if(0>r)return null;if(r===this.arcLength.length-1)return new a(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],o=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),s=1-o,l=[0,0,0],c=0;3>c;++c)l[c]=s*n[c]+o*i[c];var u=Math.min(.5>o?r:r+1,this.points.length-1);return new a(e,l,u,this.points[u])}},{"./lib/shaders":85,"binary-search-bounds":87,"gl-buffer":77,"gl-texture2d":181,"gl-vao":185,"glsl-read-float":88,ndarray:212}],87:[function(t,e,r){arguments[4][21][0].apply(r,arguments)},{dup:21}],88:[function(t,e,r){function n(t,e,r,n){return i[0]=n,i[1]=r,i[2]=e,i[3]=t,a[0]}e.exports=n;var i=new Uint8Array(4),a=new Float32Array(i.buffer)},{}],89:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=u*o-s*c,h=-u*a+s*l,d=c*a-o*l,p=r*f+n*h+i*d;return p?(p=1/p,t[0]=f*p,t[1]=(-u*n+i*c)*p,t[2]=(s*n-i*o)*p,t[3]=h*p,t[4]=(u*r-i*l)*p,t[5]=(-s*r+i*a)*p,t[6]=d*p,t[7]=(-c*r+n*l)*p,t[8]=(o*r-n*a)*p,t):null}e.exports=n},{}],90:[function(t,e,r){function n(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}e.exports=n},{}],91:[function(t,e,r){function n(){var t=new 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i=t("./identity");e.exports=n},{"./identity":95}],98:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],d=e[10],p=e[11],g=e[12],v=e[13],m=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*f+w*g,t[1]=b*i+x*l+_*h+w*v,t[2]=b*a+x*c+_*d+w*m,t[3]=b*o+x*u+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*f+w*g,t[5]=b*i+x*l+_*h+w*v,t[6]=b*a+x*c+_*d+w*m,t[7]=b*o+x*u+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*f+w*g,t[9]=b*i+x*l+_*h+w*v,t[10]=b*a+x*c+_*d+w*m,t[11]=b*o+x*u+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*f+w*g,t[13]=b*i+x*l+_*h+w*v,t[14]=b*a+x*c+_*d+w*m,t[15]=b*o+x*u+_*p+w*y,t}e.exports=n},{}],99:[function(t,e,r){function n(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}e.exports=n},{}],100:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,c,u,f,h,d,p,g,v,m,y,b,x,_,w,k,A,M,T,E,L=n[0],S=n[1],C=n[2],z=Math.sqrt(L*L+S*S+C*C);return Math.abs(z)<1e-6?null:(z=1/z,L*=z,S*=z,C*=z,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],d=e[6],p=e[7],g=e[8],v=e[9],m=e[10],y=e[11],b=L*L*o+a,x=S*L*o+C*i,_=C*L*o-S*i,w=L*S*o-C*i,k=S*S*o+a,A=C*S*o+L*i,M=L*C*o+S*i,T=S*C*o-L*i,E=C*C*o+a,t[0]=s*b+f*x+g*_,t[1]=l*b+h*x+v*_,t[2]=c*b+d*x+m*_,t[3]=u*b+p*x+y*_,t[4]=s*w+f*k+g*A,t[5]=l*w+h*k+v*A,t[6]=c*w+d*k+m*A,t[7]=u*w+p*k+y*A,t[8]=s*M+f*T+g*E,t[9]=l*M+h*T+v*E,t[10]=c*M+d*T+m*E,t[11]=u*M+p*T+y*E,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}e.exports=n},{}],101:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}e.exports=n},{}],102:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}e.exports=n},{}],103:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}e.exports=n},{}],104:[function(t,e,r){function n(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}e.exports=n},{}],105:[function(t,e,r){function n(t,e,r){var n,i,a,o,s,l,c,u,f,h,d,p,g=r[0],v=r[1],m=r[2];return e===t?(t[12]=e[0]*g+e[4]*v+e[8]*m+e[12],t[13]=e[1]*g+e[5]*v+e[9]*m+e[13],t[14]=e[2]*g+e[6]*v+e[10]*m+e[14],t[15]=e[3]*g+e[7]*v+e[11]*m+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=d,t[11]=p,t[12]=n*g+s*v+f*m+e[12],t[13]=i*g+l*v+h*m+e[13],t[14]=a*g+c*v+d*m+e[14],t[15]=o*g+u*v+p*m+e[15]),t}e.exports=n},{}],106:[function(t,e,r){function n(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}e.exports=n},{}],107:[function(t,e,r){"use strict";function n(t,e){for(var r=[0,0,0,0],n=0;4>n;++n)for(var i=0;4>i;++i)r[i]+=t[4*n+i]*e[n];return r}function i(t,e,r,i,a){for(var o=n(i,n(r,n(e,[t[0],t[1],t[2],1]))),s=0;3>s;++s)o[s]/=o[3];return[.5*a[0]*(1+o[0]),.5*a[1]*(1-o[1])]}function a(t,e){if(2===t.length){for(var r=0,n=0,i=0;2>i;++i)r+=Math.pow(e[i]-t[0][i],2),n+=Math.pow(e[i]-t[1][i],2);return r=Math.sqrt(r),n=Math.sqrt(n),1e-6>r+n?[1,0]:[n/(r+n),r/(n+r)]}if(3===t.length){var a=[0,0];return c(t[0],t[1],t[2],e,a),l(t,a)}return[]}function o(t,e){for(var r=[0,0,0],n=0;no;++o)r[o]+=a*i[o];return r}function s(t,e,r,n,s,l){if(1===t.length)return[0,t[0].slice()];for(var c=new Array(t.length),u=0;up;++p)d+=Math.pow(c[u][p]-e[p],2);h>d&&(h=d,f=u)}for(var g=a(c,e),v=0,u=0;3>u;++u){if(g[u]<-.001||g[u]>1.0001)return null;v+=g[u]}return Math.abs(v-1)>.001?null:[f,o(t,g),g]}var l=t("barycentric"),c=t("polytope-closest-point/lib/closest_point_2d.js");e.exports=s},{barycentric:110,"polytope-closest-point/lib/closest_point_2d.js":112}],108:[function(t,e,r){var n="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n , view\n , projection;\nuniform vec3 eyePosition\n , lightPosition;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n vec4 m_position = model * vec4(position, 1.0);\n vec4 t_position = view * m_position;\n gl_Position = projection * t_position;\n f_color = color;\n f_normal = normal;\n f_data = position;\n f_eyeDirection = eyePosition - position;\n f_lightDirection = lightPosition - position;\n f_uv = uv;\n}",i="precision mediump float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution_2_0(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\n\n\nfloat cookTorranceSpecular_1_1(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution_2_0(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n , fresnel\n , kambient\n , kdiffuse\n , kspecular\n , opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if(any(lessThan(f_data, clipBounds[0])) || \n any(greaterThan(f_data, clipBounds[1]))) {\n discard;\n }\n\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n \n if(!gl_FrontFacing) {\n N = -N;\n }\n\n float specular = cookTorranceSpecular_1_1(L, V, N, roughness, fresnel);\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}",a="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_color = color;\n f_data = position;\n f_uv = uv;\n}",o="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n if(any(lessThan(f_data, clipBounds[0])) || \n any(greaterThan(f_data, clipBounds[1]))) {\n discard;\n }\n\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}",s="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || \n any(greaterThan(position, clipBounds[1]))) {\n gl_Position = vec4(0,0,0,0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n }\n gl_PointSize = pointSize;\n f_color = color;\n f_uv = uv;\n}",l="precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n vec2 pointR = gl_PointCoord.xy - vec2(0.5,0.5);\n if(dot(pointR, pointR) > 0.25) {\n discard;\n }\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}",c="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_id = id;\n f_position = position;\n}",u="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if(any(lessThan(f_position, clipBounds[0])) || \n any(greaterThan(f_position, clipBounds[1]))) {\n discard;\n }\n gl_FragColor = vec4(pickId, f_id.xyz);\n}",f="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute float pointSize;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || \n any(greaterThan(position, clipBounds[1]))) {\n gl_Position = vec4(0,0,0,0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n gl_PointSize = pointSize;\n }\n f_id = id;\n f_position = position;\n}",h="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n}",d="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n gl_FragColor = vec4(contourColor,1);\n}\n";r.meshShader={vertex:n,fragment:i,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.wireShader={vertex:a,fragment:o,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.pointShader={vertex:s,fragment:l,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},r.pickShader={vertex:c,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},r.pointPickShader={vertex:f,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},r.contourShader={vertex:h,fragment:d,attributes:[{name:"position",type:"vec3"}]}},{}],109:[function(t,e,r){"use strict";function n(t,e,r,n,i,a,o,s,l,c,u,f,h,d,p,g,v,m,y,b,x,_,w,k,A,M,T){this.gl=t,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=d,this.triangleCount=0,this.lineWidth=1,this.edgePositions=p,this.edgeColors=v,this.edgeUVs=m,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=b,this.pointColors=_,this.pointUVs=w,this.pointSizes=k,this.pointIds=x,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=T,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this._model=R,this._view=R,this._projection=R,this._resolution=[1,1]}function i(t){for(var e=w({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;256>n;++n){for(var i=e[n],a=0;3>a;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return _(r,[256,256,4],[4,0,1])}function a(t,e,r){for(var n=new Array(e),i=0;e>i;++i)n[i]=0;for(var a=t.length,i=0;a>i;++i)for(var o=t[i],s=0;sn;++n)r[n]=t[n][2];return r}function s(t){var e=p(t,E);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function l(t){var e=p(t,L);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function c(t){var e=p(t,S);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function u(t){var e=p(t,C);return e.attributes.position.location=0,e.attributes.id.location=1,e}function f(t){var e=p(t,z);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function h(t){var e=p(t,P);return e.attributes.position.location=0,e}function d(t){var e=t.gl,r=s(e),i=l(e),a=c(e),o=u(e),d=f(e),p=h(e),y=m(e,_(new Uint8Array([255,255,255,255]),[1,1,4]));y.generateMipmap(),y.minFilter=e.LINEAR_MIPMAP_LINEAR,y.magFilter=e.LINEAR;var b=g(e),x=g(e),w=g(e),k=g(e),A=g(e),M=v(e,[{buffer:b,type:e.FLOAT,size:3},{buffer:A,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:x,type:e.FLOAT,size:4},{buffer:w,type:e.FLOAT,size:2},{buffer:k,type:e.FLOAT,size:3}]),T=g(e),E=g(e),L=g(e),S=g(e),C=v(e,[{buffer:T,type:e.FLOAT,size:3},{buffer:S,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:E,type:e.FLOAT,size:4},{buffer:L,type:e.FLOAT,size:2}]),z=g(e),P=g(e),R=g(e),O=g(e),I=g(e),N=v(e,[{buffer:z,type:e.FLOAT,size:3},{buffer:I,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:P,type:e.FLOAT,size:4},{buffer:R,type:e.FLOAT,size:2},{buffer:O,type:e.FLOAT,size:1}]),j=g(e),F=v(e,[{buffer:j,type:e.FLOAT,size:3}]),D=new n(e,y,r,i,a,o,d,p,b,A,x,w,k,M,T,S,E,L,C,z,I,P,R,O,N,j,F);return D.update(t),D}var p=t("gl-shader"),g=t("gl-buffer"),v=t("gl-vao"),m=t("gl-texture2d"),y=t("normals"),b=t("gl-mat4/multiply"),x=t("gl-mat4/invert"),_=t("ndarray"),w=t("colormap"),k=t("simplicial-complex-contour"),A=t("typedarray-pool"),M=t("./lib/shaders"),T=t("./lib/closest-point"),E=M.meshShader,L=M.wireShader,S=M.pointShader,C=M.pickShader,z=M.pointPickShader,P=M.contourShader,R=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],O=n.prototype;O.isOpaque=function(){return this.opacity>=1},O.isTransparent=function(){return this.opacity<1},O.pickSlots=1,O.setPickBase=function(t){this.pickId=t},O.highlight=function(t){if(!t||!this.contourEnable)return void(this.contourCount=0);for(var e=k(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=A.mallocFloat32(6*a),s=0,l=0;a>l;++l)for(var c=r[l],u=0;2>u;++u){var f=c[0];2===c.length&&(f=c[u]);for(var h=n[f][0],d=n[f][1],p=i[f],g=1-p,v=this.positions[h],m=this.positions[d],y=0;3>y;++y)o[s++]=p*v[y]+g*m[y]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),A.free(o)},O.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"opacity"in t&&(this.opacity=t.opacity),t.texture?(this.texture.dispose(),this.texture=m(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(i(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var s=[],l=[],c=[],u=[],f=[],h=[],d=[],p=[],g=[],v=[],b=[],x=[],_=[],w=[];this.cells=r,this.positions=n;var k=t.vertexNormals,A=t.cellNormals;t.useFacetNormals&&!A&&(A=y.faceNormals(r,n)),A||k||(k=y.vertexNormals(r,n));var M=t.vertexColors,T=t.cellColors,E=t.meshColor||[1,1,1,1],L=t.vertexUVs,S=t.vertexIntensity,C=t.cellUVs,z=t.cellIntensity,P=1/0,R=-(1/0);if(!L&&!C)if(S)for(var O=0;OD;++D)!isNaN(F[D])&&isFinite(F[D])&&(this.bounds[0][D]=Math.min(this.bounds[0][D],F[D]),this.bounds[1][D]=Math.max(this.bounds[1][D],F[D]));var B=0,U=0,V=0;t:for(var O=0;OD;++D)if(isNaN(F[D])||!isFinite(F[D]))continue t;v.push(F[0],F[1],F[2]);var G;G=M?M[H]:T?T[O]:E,3===G.length?b.push(G[0],G[1],G[2],1):b.push(G[0],G[1],G[2],G[3]);var Y;Y=L?L[H]:S?[(S[H]-P)/(R-P),0]:C?C[O]:z?[(z[O]-P)/(R-P),0]:[(F[2]-P)/(R-P),0],x.push(Y[0],Y[1]),N?_.push(N[H]):_.push(j),w.push(O),V+=1;break;case 2:for(var D=0;2>D;++D)for(var H=q[D],F=n[H],X=0;3>X;++X)if(isNaN(F[X])||!isFinite(F[X]))continue t;for(var D=0;2>D;++D){var H=q[D],F=n[H];h.push(F[0],F[1],F[2]);var G;G=M?M[H]:T?T[O]:E,3===G.length?d.push(G[0],G[1],G[2],1):d.push(G[0],G[1],G[2],G[3]);var Y;Y=L?L[H]:S?[(S[H]-P)/(R-P),0]:C?C[O]:z?[(z[O]-P)/(R-P),0]:[(F[2]-P)/(R-P),0],p.push(Y[0],Y[1]),g.push(O)}U+=1;break;case 3:for(var D=0;3>D;++D)for(var H=q[D],F=n[H],X=0;3>X;++X)if(isNaN(F[X])||!isFinite(F[X]))continue t;for(var D=0;3>D;++D){var H=q[D],F=n[H];s.push(F[0],F[1],F[2]);var G;G=M?M[H]:T?T[O]:E,3===G.length?l.push(G[0],G[1],G[2],1):l.push(G[0],G[1],G[2],G[3]);var Y;Y=L?L[H]:S?[(S[H]-P)/(R-P),0]:C?C[O]:z?[(z[O]-P)/(R-P),0]:[(F[2]-P)/(R-P),0],u.push(Y[0],Y[1]);var W;W=k?k[H]:A[O],c.push(W[0],W[1],W[2]),f.push(O)}B+=1}}this.pointCount=V,this.edgeCount=U,this.triangleCount=B,this.pointPositions.update(v),this.pointColors.update(b),this.pointUVs.update(x),this.pointSizes.update(_),this.pointIds.update(new Uint32Array(w)),this.edgePositions.update(h),this.edgeColors.update(d),this.edgeUVs.update(p),this.edgeIds.update(new 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e=O.indexOf(t);0>e||(O.splice(e,1),I.pop(),F=!0,D=!0,r())}},H.dispose=function(){if(!_&&(_=!0,window.removeEventListener("resize",e),w.removeEventListener("webglcontextlost",s),H.mouseListener.enabled=!1,!H.contextLost)){z.dispose(),R.dispose();for(var t=0;ts;++s){var l=j[s].query(e,G[1]-r-1,H.pickRadius);if(l){if(l.distance>T.distance)continue;for(var c=0;i>c;++c){var u=O[c];if(I[c]===s){var f=u.pick(l);f&&(T.buttons=t,T.screen=l.coord,T.distance=l.distance,T.object=u,T.index=f.distance,T.dataPosition=f.position,T.dataCoordinate=f.dataCoordinate,T.data=f,o=!0)}}}}}a&&a!==T.object&&(a.highlight&&a.highlight(null),F=!0),T.object&&(T.object.highlight&&T.object.highlight(T.data),F=!0),o=o||T.object!==a,o&&H.onselect&&H.onselect(T),1&t&&!(1&X)&&H.onclick&&H.onclick(T),X=t}}),w.addEventListener("webglcontextlost",s);var W=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],Z=[W[0].slice(),W[1].slice()];return x(),H.redraw=function(){_||(F=!0,b())},H}e.exports=s;var l=t("3d-view-controls"),c=t("gl-axes3d"),u=t("gl-axes3d/properties"),f=t("gl-spikes3d"),h=t("gl-select-static"),d=t("gl-fbo"),p=t("a-big-triangle"),g=t("mouse-change"),v=t("gl-mat4/perspective"),m=t("./lib/shader")},{"./lib/shader":125,"3d-view-controls":126,"a-big-triangle":128,"gl-axes3d":129,"gl-axes3d/properties":139,"gl-fbo":82,"gl-mat4/perspective":99,"gl-select-static":155,"gl-spikes3d":141,"mouse-change":200}],143:[function(t,e,r){"use strict";e.exports={vertex:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec2 offset;\nattribute vec4 color;\n\nuniform mat3 viewTransform;\nuniform vec2 pixelScale;\n\nvarying vec4 fragColor;\n\nvec4 computePosition_1_0(vec2 position, vec2 offset, mat3 view, vec2 scale) {\n vec3 xposition = view * vec3(position, 1.0);\n return vec4(\n xposition.xy + scale * offset * xposition.z,\n 0,\n xposition.z);\n}\n\n\n\n\nvoid main() {\n fragColor = color;\n\n gl_Position = computePosition_1_0(\n position,\n offset,\n viewTransform,\n pixelScale);\n}\n",fragment:"precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n",pickVertex:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec2 offset;\nattribute vec4 id;\n\nuniform mat3 viewTransform;\nuniform vec2 pixelScale;\nuniform vec4 pickOffset;\n\nvarying vec4 fragColor;\n\nvec4 computePosition_1_0(vec2 position, vec2 offset, mat3 view, vec2 scale) {\n vec3 xposition = view * vec3(position, 1.0);\n return vec4(\n xposition.xy + scale * offset * xposition.z,\n 0,\n xposition.z);\n}\n\n\n\n\nvoid main() {\n vec4 fragId = id + pickOffset;\n\n fragId.y += floor(fragId.x / 256.0);\n fragId.x -= floor(fragId.x / 256.0) * 256.0;\n\n fragId.z += floor(fragId.y / 256.0);\n fragId.y -= floor(fragId.y / 256.0) * 256.0;\n\n fragId.w += floor(fragId.z / 256.0);\n fragId.z -= floor(fragId.z / 256.0) * 256.0;\n\n fragColor = fragId / 255.0;\n\n gl_Position = computePosition_1_0(\n position,\n offset,\n viewTransform,\n pixelScale);\n}\n",pickFragment:"precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n gl_FragColor = fragColor;\n}\n"}},{}],144:[function(t,e,r){"use strict";function n(t){if(t in h)return h[t];var e=u(t,{polygons:!0,font:"sans-serif",textAlign:"left",textBaseline:"alphabetic"}),r=[],n=[];e.forEach(function(t){t.forEach(function(t){for(var e=0;eo;++o)i[o]=Math.min(i[o],r[a+o]),i[2+o]=Math.max(i[2+o],r[a+o]);return h[t]={coords:r,normals:n,bounds:i}}function i(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.offsetBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.bounds=[1/0,1/0,-(1/0),-(1/0)],this.numPoints=0,this.numVertices=0,this.pickOffset=0,this.points=null}function a(t,e){var r=t.gl,n=o(r,f.vertex,f.fragment),a=o(r,f.pickVertex,f.pickFragment),l=s(r),c=s(r),u=s(r),h=s(r),d=new i(t,n,a,l,c,u,h);return d.update(e),t.addObject(d),d}e.exports=a;var o=t("gl-shader"),s=t("gl-buffer"),l=t("text-cache"),c=t("typedarray-pool"),u=t("vectorize-text"),f=t("./lib/shaders"),h={},d=i.prototype;!function(){function t(){var t=this.plot,n=this.bounds,i=t.viewBox,a=t.dataBox,o=t.pixelRatio,s=n[2]-n[0],l=n[3]-n[1],c=a[2]-a[0],u=a[3]-a[1];e[0]=2*s/c,e[4]=2*l/u,e[6]=2*(n[0]-a[0])/c-1,e[7]=2*(n[1]-a[1])/u-1;var f=i[2]-i[0],h=i[3]-i[1];r[0]=2*o/f,r[1]=2*o/h}var e=[1,0,0,0,1,0,0,0,1],r=[1,1];d.draw=function(){var n=this.plot,i=this.shader,a=this.numVertices;if(a){var o=n.gl;t.call(this),i.bind(),i.uniforms.pixelScale=r,i.uniforms.viewTransform=e,this.positionBuffer.bind(),i.attributes.position.pointer(),this.offsetBuffer.bind(),i.attributes.offset.pointer(),this.colorBuffer.bind(),i.attributes.color.pointer(o.UNSIGNED_BYTE,!0),o.drawArrays(o.TRIANGLES,0,a)}};var n=[0,0,0,0];d.drawPick=function(i){var a=this.plot,o=this.pickShader,s=this.numVertices,l=a.gl;if(this.pickOffset=i,!s)return i;for(var c=0;4>c;++c)n[c]=i>>8*c&255;return t.call(this),o.bind(),o.uniforms.pixelScale=r,o.uniforms.viewTransform=e,o.uniforms.pickOffset=n,this.positionBuffer.bind(),o.attributes.position.pointer(),this.offsetBuffer.bind(),o.attributes.offset.pointer(),this.idBuffer.bind(),o.attributes.id.pointer(l.UNSIGNED_BYTE,!1),l.drawArrays(l.TRIANGLES,0,s),i+this.numPoints}}(),d.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(n>r||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},d.update=function(t){t=t||{};var e=t.positions||[],r=t.colors||[],i=t.glyphs||[],a=t.sizes||[],o=t.borderWidths||[],s=t.borderColors||[];this.points=e;for(var u=this.bounds=[1/0,1/0,-(1/0),-(1/0)],f=0,h=0;h>1;for(var d=0;2>d;++d)u[d]=Math.min(u[d],e[2*h+d]),u[2+d]=Math.max(u[2+d],e[2*h+d])}u[0]===u[2]&&(u[2]+=1),u[3]===u[1]&&(u[3]+=1);for(var p=1/(u[2]-u[0]),g=1/(u[3]-u[1]),v=u[0],m=u[1],y=c.mallocFloat32(2*f),b=c.mallocFloat32(2*f),x=c.mallocUint8(4*f),_=c.mallocUint32(f),w=0,h=0;h=a?i(0,a-1,t,e,r,n):f(0,a-1,t,e,r,n)}function i(t,e,r,n,i,a){for(var o=t+1;e>=o;++o){for(var s=r[o],l=n[2*o],c=n[2*o+1],u=i[o],f=a[o],h=o;h>t;){var d=r[h-1],p=n[2*(h-1)];if((d-s||l-p)>=0)break;r[h]=d,n[2*h]=p,n[2*h+1]=n[2*h-1],i[h]=i[h-1],a[h]=a[h-1],h-=1}r[h]=s,n[2*h]=l,n[2*h+1]=c,i[h]=u,a[h]=f}}function a(t,e,r,n,i,a){var o=r[t],s=n[2*t],l=n[2*t+1],c=i[t],u=a[t];r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e],r[e]=o,n[2*e]=s,n[2*e+1]=l,i[e]=c,a[e]=u}function o(t,e,r,n,i,a){r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e]}function s(t,e,r,n,i,a,o){var s=n[t],l=i[2*t],c=i[2*t+1],u=a[t],f=o[t];n[t]=n[e],i[2*t]=i[2*e],i[2*t+1]=i[2*e+1],a[t]=a[e],o[t]=o[e],n[e]=n[r],i[2*e]=i[2*r],i[2*e+1]=i[2*r+1],a[e]=a[r],o[e]=o[r],n[r]=s,i[2*r]=l,i[2*r+1]=c,a[r]=u,o[r]=f}function l(t,e,r,n,i,a,o,s,l,c,u){s[t]=s[e],l[2*t]=l[2*e],l[2*t+1]=l[2*e+1],c[t]=c[e],u[t]=u[e],s[e]=r,l[2*e]=n,l[2*e+1]=i,c[e]=a,u[e]=o}function c(t,e,r,n,i){return(r[t]-r[e]||n[2*e]-n[2*t]||i[t]-i[e])<0}function u(t,e,r,n,i,a,o,s){return(e-a[t]||o[2*t]-r||i-s[t])<0}function f(t,e,r,n,d,p){var g=(e-t+1)/6|0,v=t+g,m=e-g,y=t+e>>1,b=y-g,x=y+g,_=v,w=b,k=y,A=x,M=m,T=t+1,E=e-1,L=0;c(_,w,r,n,d,p)&&(L=_,_=w,w=L),c(A,M,r,n,d,p)&&(L=A,A=M,M=L),c(_,k,r,n,d,p)&&(L=_,_=k,k=L),c(w,k,r,n,d,p)&&(L=w,w=k,k=L),c(_,A,r,n,d,p)&&(L=_,_=A,A=L),c(k,A,r,n,d,p)&&(L=k,k=A,A=L),c(w,M,r,n,d,p)&&(L=w,w=M,M=L),c(w,k,r,n,d,p)&&(L=w,w=k,k=L),c(A,M,r,n,d,p)&&(L=A,A=M,M=L);var S=r[w],C=n[2*w],z=n[2*w+1],P=d[w],R=p[w],O=r[A],I=n[2*A],N=n[2*A+1],j=d[A],F=p[A],D=_,B=k,U=M,V=v,q=y,H=m,G=r[D],Y=r[B],X=r[U];r[V]=G,r[q]=Y,r[H]=X;for(var W=0;2>W;++W){var Z=n[2*D+W],K=n[2*B+W],Q=n[2*U+W];n[2*V+W]=Z,n[2*q+W]=K,n[2*H+W]=Q}var $=d[D],J=d[B],tt=d[U];d[V]=$,d[q]=J,d[H]=tt;var et=p[D],rt=p[B],nt=p[U];p[V]=et,p[q]=rt,p[H]=nt,o(b,t,r,n,d,p),o(x,e,r,n,d,p);for(var it=T;E>=it;++it)if(u(it,S,C,z,P,r,n,d))it!==T&&a(it,T,r,n,d,p),++T;else if(!u(it,O,I,N,j,r,n,d))for(;;){if(u(E,O,I,N,j,r,n,d)){u(E,S,C,z,P,r,n,d)?(s(it,T,E,r,n,d,p),++T,--E):(a(it,E,r,n,d,p),--E);break}if(--E=T-2-t?i(t,T-2,r,n,d,p):f(t,T-2,r,n,d,p),h>=e-(E+2)?i(E+2,e,r,n,d,p):f(E+2,e,r,n,d,p),h>=E-T?i(T,E,r,n,d,p):f(T,E,r,n,d,p)}e.exports=n;var h=32},{}],148:[function(t,e,r){"use strict";function n(t,e,r,n,i,a,o,s){for(var l=r,c=r;n>c;++c){var u=t[2*c],f=t[2*c+1],h=e[c];u>=i&&o>=u&&f>=a&&s>=f&&(c===l?l+=1:(t[2*c]=t[2*l],t[2*c+1]=t[2*l+1],e[c]=e[l],t[2*l]=u,t[2*l+1]=f,e[l]=h,l+=1))}return l}function i(t,e,r){this.pixelSize=t,this.offset=e,this.count=r}function a(t,e,r,a){function l(i,a,o,s,c,u){var f=.5*o,h=s+1,d=c-s;r[_]=d,x[_++]=u;for(var p=0;2>p;++p)for(var g=0;2>g;++g){var v=i+p*f,m=a+g*f,y=n(t,e,h,c,v,m,v+f,m+f);if(y!==h){if(y-h>=Math.max(.9*d,32)){var b=c+s>>>1;l(v,m,f,h,b,u+1),h=b}l(v,m,f,h,y,u+1),h=y}}}var c=t.length>>>1;if(1>c)return[];for(var u=1/0,f=1/0,h=-(1/0),d=-(1/0),p=0;c>p;++p){var g=t[2*p],v=t[2*p+1];u=Math.min(u,g),h=Math.max(h,g),f=Math.min(f,v),d=Math.max(d,v),e[p]=p}u===h&&(h+=1+Math.abs(h)),f===d&&(d+=1+Math.abs(h));var m=1/(h-u),y=1/(d-f),b=Math.max(h-u,d-f);a=a||[0,0,0,0],a[0]=u,a[1]=f,a[2]=h,a[3]=d;var x=o.mallocInt32(c),_=0;l(u,f,b,0,c,0),s(x,t,e,r,c);for(var w=[],k=0,A=c,_=c-1;_>=0;--_){t[2*_]=(t[2*_]-u)*m,t[2*_+1]=(t[2*_+1]-f)*y;var M=x[_];M!==k&&(w.push(new i(b*Math.pow(.5,M),_+1,A-(_+1))),A=_+1,k=M)}return w.push(new i(b*Math.pow(.5,M+1),0,A)),o.free(x),w}var o=t("typedarray-pool"),s=t("./lib/sort");e.exports=a},{"./lib/sort":147,"typedarray-pool":237}],149:[function(t,e,r){"use strict";function n(t,e,r,n,i,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.weightBuffer=n,this.shader=i,this.pickShader=a,this.scales=[],this.size=12,this.borderSize=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.bounds=[1/0,1/0,-(1/0),-(1/0)],this.pickOffset=0,this.points=null,this.xCoords=null}function i(t,e){var r=t.gl,i=o(r),s=o(r),l=o(r),c=a(r,u.pointVertex,u.pointFragment),f=a(r,u.pickVertex,u.pickFragment),h=new n(t,i,s,l,c,f);return h.update(e),t.addObject(h),h}var a=t("gl-shader"),o=t("gl-buffer"),s=t("binary-search-bounds"),l=t("snap-points-2d"),c=t("typedarray-pool"),u=t("./lib/shader");e.exports=i;var f=n.prototype;f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.xCoords&&c.free(this.xCoords),this.plot.removeObject(this)},f.update=function(t){function e(e,r){return e in t?t[e]:r}t=t||{},this.size=e("size",12),this.color=e("color",[1,0,0,1]).slice(),this.borderSize=e("borderSize",1),this.borderColor=e("borderColor",[0,0,0,1]).slice(),this.xCoords&&c.free(this.xCoords);var r=t.positions,n=c.mallocFloat32(r.length),i=c.mallocInt32(r.length>>>1);n.set(r);var a=c.mallocFloat32(r.length);this.points=r,this.scales=l(n,i,a,this.bounds),this.offsetBuffer.update(n),this.pickBuffer.update(i),this.weightBuffer.update(a);for(var o=c.mallocFloat32(r.length>>>1),s=0,u=0;s>>1,this.pickOffset=0},f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.scales,o=this.offsetBuffer,l=this.pickBuffer,c=this.bounds,u=this.size,f=this.borderSize,h=n.gl,d=n.pickPixelRatio,p=n.viewBox,g=n.dataBox;if(0===this.pointCount)return r;var v=c[2]-c[0],m=c[3]-c[1],y=g[2]-g[0],b=g[3]-g[1],x=(p[2]-p[0])*d/n.pixelRatio,_=(p[3]-p[1])*d/n.pixelRatio,w=Math.min(y/x,b/_);t[0]=2*v/y,t[4]=2*m/b,t[6]=2*(c[0]-g[0])/y-1,t[7]=2*(c[1]-g[1])/b-1,this.pickOffset=r,e[0]=255&r,e[1]=r>>8&255,e[2]=r>>16&255,e[3]=r>>24&255,i.bind(),i.uniforms.matrix=t,i.uniforms.color=this.color,i.uniforms.borderColor=this.borderColor,i.uniforms.pointSize=d*(u+f),i.uniforms.pickOffset=e,0===this.borderSize?i.uniforms.centerFraction=2:i.uniforms.centerFraction=u/(u+f+1.25),o.bind(),i.attributes.position.pointer(),l.bind(),i.attributes.pickId.pointer(h.UNSIGNED_BYTE);for(var k=this.xCoords,A=(g[0]-c[0]-w*u*d)/v,M=(g[2]-c[0]+w*u*d)/v,T=a.length-1;T>=0;--T){var E=a[T];if(!(E.pixelSize1)){var L=E.offset,S=E.count+L,C=s.ge(k,A,L,S-1),z=s.lt(k,M,C,S-1)+1;z>C&&h.drawArrays(h.POINTS,C,z-C)}}return r+this.pointCount}}(),f.draw=function(){var t=[1,0,0,0,1,0,0,0,1];return function(){var e=this.plot,r=this.shader,n=this.scales,i=this.offsetBuffer,a=this.bounds,o=this.size,l=this.borderSize,c=e.gl,u=e.pixelRatio,f=e.viewBox,h=e.dataBox;if(0!==this.pointCount){var d=a[2]-a[0],p=a[3]-a[1],g=h[2]-h[0],v=h[3]-h[1],m=f[2]-f[0],y=f[3]-f[1],b=Math.min(g/m,v/y);t[0]=2*d/g,t[4]=2*p/v,t[6]=2*(a[0]-h[0])/g-1,t[7]=2*(a[1]-h[1])/v-1,r.bind(),r.uniforms.matrix=t,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointSize=u*(o+l),r.uniforms.useWeight=1,0===this.borderSize?r.uniforms.centerFraction=2:r.uniforms.centerFraction=o/(o+l+1.25),i.bind(),r.attributes.position.pointer(),this.weightBuffer.bind(),r.attributes.weight.pointer();for(var x=this.xCoords,_=(h[0]-a[0]-b*o*u)/d,w=(h[2]-a[0]+b*o*u)/d,k=!0,A=n.length-1;A>=0;--A){var M=n[A];if(!(M.pixelSize1)){var T=M.offset,E=M.count+T,L=s.ge(x,_,T,E-1),S=s.lt(x,w,L,E-1)+1;S>L&&c.drawArrays(c.POINTS,L,S-L),k&&(k=!1,r.uniforms.useWeight=0)}}}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(n>r||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{"./lib/shader":145,"binary-search-bounds":146,"gl-buffer":77,"gl-shader":156,"snap-points-2d":148,"typedarray-pool":237}],150:[function(t,e,r){"use strict";function n(t,e){var r=a[e];if(r||(r=a[e]={}),t in r)return r[t];for(var n=i(t,{textAlign:"center",textBaseline:"middle",lineHeight:1,font:e}),o=i(t,{triangles:!0,textAlign:"center",textBaseline:"middle",lineHeight:1,font:e}),s=[[1/0,1/0],[-(1/0),-(1/0)]],l=0;lu;++u)s[0][u]=Math.min(s[0][u],c[u]),s[1][u]=Math.max(s[1][u],c[u]);return r[t]=[o,n,s]}var i=t("vectorize-text");e.exports=n;var a={}},{"vectorize-text":239}],151:[function(t,e,r){function n(t,e){var r=i(t,e),n=r.attributes;return n.position.location=0,n.color.location=1,n.glyph.location=2,n.id.location=3,r}var i=t("gl-shader"),a="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || \n any(greaterThan(position, clipBounds[1])) ) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = 1.0;\n if(distance(highlightId, id) < 0.0001) {\n scale = highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1);\n vec4 viewPosition = view * worldPosition;\n viewPosition = viewPosition / viewPosition.w;\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n \n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}",o="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || any(greaterThan(position, clipBounds[1]))) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = pixelRatio;\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\n scale *= highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1.0);\n vec4 viewPosition = view * worldPosition;\n vec4 clipPosition = projection * viewPosition;\n clipPosition /= clipPosition.w;\n \n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}",s="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) ||\n any(greaterThan(position, clipBounds[1])) ) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float lscale = pixelRatio * scale;\n if(distance(highlightId, id) < 0.0001) {\n lscale *= highlightScale;\n }\n\n vec4 clipCenter = projection * view * model * vec4(position, 1);\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = dataPosition;\n }\n}\n",l="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(dataCoordinate, fragClipBounds[0])) ||\n any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\n discard;\n } else {\n gl_FragColor = interpColor * opacity;\n }\n}\n",c="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(dataCoordinate, fragClipBounds[0])) || \n any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\n discard;\n } else {\n gl_FragColor = vec4(pickGroup, pickId.bgr);\n }\n}",u=[{ -name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},d={vertex:s,fragment:l,attributes:u},p={vertex:a,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},v={vertex:s,fragment:c,attributes:u};r.createPerspective=function(t){return n(t,f)},r.createOrtho=function(t){return n(t,h)},r.createProject=function(t){return n(t,d)},r.createPickPerspective=function(t){return n(t,p)},r.createPickOrtho=function(t){return n(t,g)},r.createPickProject=function(t){return n(t,v)}},{"gl-shader":156}],152:[function(t,e,r){"use strict";function n(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function i(t,e,r,i){return n(i,i,r),n(i,i,e),n(i,i,t)}function a(t,e){this.index=t,this.dataCoordinate=this.position=e}function o(t,e,r,n,i,o,s,l,c,u,f,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=o,this.glyphBuffer=s,this.idBuffer=l,this.vao=c,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=f,this.pickProjectShader=h,this.points=[],this._selectResult=new a(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.dirty=!0}function s(t){return t[0]=t[1]=t[2]=0,t}function l(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function c(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function u(t){for(var e=S,r=0;2>r;++r)for(var n=0;3>n;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}function f(t,e,r,n,a){var o,f=e.axesProject,h=e.gl,d=t.uniforms,p=r.model||x,g=r.view||x,v=r.projection||x,y=e.axesBounds,b=u(e.clipBounds);o=e.axes?e.axes.lastCubeProps.axis:[1,1,1],w[0]=2/h.drawingBufferWidth,w[1]=2/h.drawingBufferHeight,t.bind(),d.view=g,d.projection=v,d.screenSize=w,d.highlightId=e.highlightId,d.highlightScale=e.highlightScale,d.clipBounds=b,d.pickGroup=e.pickId/255,d.pixelRatio=e.pixelRatio;for(var _=0;3>_;++_)if(f[_]&&e.projectOpacity[_]<1===n){d.scale=e.projectScale[_],d.opacity=e.projectOpacity[_];for(var S=E,C=0;16>C;++C)S[C]=0;for(var C=0;4>C;++C)S[5*C]=1;S[5*_]=0,o[_]<0?S[12+_]=y[0][_]:S[12+_]=y[1][_],m(S,p,S),d.model=S;var z=(_+1)%3,P=(_+2)%3,R=s(k),O=s(A);R[z]=1,O[P]=1;var I=i(v,g,p,l(M,R)),N=i(v,g,p,l(T,O));if(Math.abs(I[1])>Math.abs(N[1])){var j=I;I=N,N=j,j=R,R=O,O=j;var F=z;z=P,P=F}I[0]<0&&(R[z]=-1),N[1]>0&&(O[P]=-1);for(var D=0,B=0,C=0;4>C;++C)D+=Math.pow(p[4*z+C],2),B+=Math.pow(p[4*P+C],2);R[z]/=Math.sqrt(D),O[P]/=Math.sqrt(B),d.axes[0]=R,d.axes[1]=O,d.fragClipBounds[0]=c(L,b[0],_,-1e8),d.fragClipBounds[1]=c(L,b[1],_,1e8),e.vao.draw(h.TRIANGLES,e.vertexCount),e.lineWidth>0&&(h.lineWidth(e.lineWidth),e.vao.draw(h.LINES,e.lineVertexCount,e.vertexCount))}}function h(t,e,r,n,i,a){var o=r.gl;if(r.vao.bind(),i===r.opacity<1||a){t.bind();var s=t.uniforms;s.model=n.model||x,s.view=n.view||x,s.projection=n.projection||x,w[0]=2/o.drawingBufferWidth,w[1]=2/o.drawingBufferHeight,s.screenSize=w,s.highlightId=r.highlightId,s.highlightScale=r.highlightScale,s.fragClipBounds=P,s.clipBounds=r.axes.bounds,s.opacity=r.opacity,s.pickGroup=r.pickId/255,s.pixelRatio=r.pixelRatio,r.vao.draw(o.TRIANGLES,r.vertexCount),r.lineWidth>0&&(o.lineWidth(r.lineWidth),r.vao.draw(o.LINES,r.lineVertexCount,r.vertexCount))}f(e,r,n,i,a),r.vao.unbind()}function d(t){var e=t.gl,r=y.createPerspective(e),n=y.createOrtho(e),i=y.createProject(e),a=y.createPickPerspective(e),s=y.createPickOrtho(e),l=y.createPickProject(e),c=p(e),u=p(e),f=p(e),h=p(e),d=g(e,[{buffer:c,size:3,type:e.FLOAT},{buffer:u,size:4,type:e.FLOAT},{buffer:f,size:2,type:e.FLOAT},{buffer:h,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new o(e,r,n,i,c,u,f,h,d,a,s,l);return v.update(t),v}var p=t("gl-buffer"),g=t("gl-vao"),v=t("typedarray-pool"),m=t("gl-mat4/multiply"),y=t("./lib/shaders"),b=t("./lib/glyphs"),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];e.exports=d;var _=o.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.opacity<1)return!0;for(var t=0;3>t;++t)if(this.axesProject[t]&&this.projectOpacity[t]<1)return!0;return!1},_.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;3>t;++t)if(this.axesProject[t]&&this.projectOpacity[t]>=1)return!0;return!1};var w=[0,0],k=[0,0,0],A=[0,0,0],M=[0,0,0,1],T=[0,0,0,1],E=x.slice(),L=[0,0,0],S=[[0,0,0],[0,0,0]],C=[-1e8,-1e8,-1e8],z=[1e8,1e8,1e8],P=[C,z];_.draw=function(t){var e=this.useOrtho?this.orthoShader:this.shader;h(e,this.projectShader,this,t,!1,!1)},_.drawTransparent=function(t){var e=this.useOrtho?this.orthoShader:this.shader;h(e,this.projectShader,this,t,!0,!1)},_.drawPick=function(t){var e=this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader;h(e,this.pickProjectShader,this,t,!1,!0)},_.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||0>e)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;3>i;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},_.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},_.update=function(t){if(t=t||{},"perspective"in t&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if("projectOpacity"in t)if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{var r=+t.projectOpacity;this.projectOpacity=[r,r,r]}"opacity"in t&&(this.opacity=t.opacity),this.dirty=!0;var n=t.position;if(n){var i=t.font||"normal",a=t.alignment||[0,0],o=[1/0,1/0,1/0],s=[-(1/0),-(1/0),-(1/0)],l=t.glyph,c=t.color,u=t.size,f=t.angle,h=t.lineColor,d=0,p=0,g=0,m=n.length;t:for(var y=0;m>y;++y){for(var x=n[y],_=0;3>_;++_)if(isNaN(x[_])||!isFinite(x[_]))continue t;var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b("\u25cf",i);var k=w[0],A=w[1],M=w[2];p+=3*k.cells.length,g+=2*A.edges.length}var T=p+g,E=v.mallocFloat(3*T),L=v.mallocFloat(4*T),S=v.mallocFloat(2*T),C=v.mallocUint32(T),z=[0,a[1]],P=0,R=p,O=[0,0,0,1],I=[0,0,0,1],N=Array.isArray(c)&&Array.isArray(c[0]),j=Array.isArray(h)&&Array.isArray(h[0]);t:for(var y=0;m>y;++y){for(var x=n[y],_=0;3>_;++_){if(isNaN(x[_])||!isFinite(x[_])){d+=1;continue t}s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_])}var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b("\u25cf",i);var k=w[0],A=w[1],M=w[2];if(Array.isArray(c)){var F;if(F=N?c[y]:c,3===F.length){for(var _=0;3>_;++_)O[_]=F[_];O[3]=1}else if(4===F.length)for(var _=0;4>_;++_)O[_]=F[_]}else O[0]=O[1]=O[2]=0,O[3]=1;if(Array.isArray(h)){var F;if(F=j?h[y]:h,3===F.length){for(var _=0;3>_;++_)I[_]=F[_];I[_]=1}else if(4===F.length)for(var _=0;4>_;++_)I[_]=F[_]}else I[0]=I[1]=I[2]=0,I[3]=1;var D=.5;Array.isArray(u)?D=+u[y]:u?D=+u:this.useOrtho&&(D=12);var B=0;Array.isArray(f)?B=+f[y]:f&&(B=+f);for(var U=Math.cos(B),V=Math.sin(B),x=n[y],_=0;3>_;++_)s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_]);a[0]<0?z[0]=a[0]*(1+M[1][0]):a[0]>0&&(z[0]=-a[0]*(1+M[0][0]));for(var q=k.cells,H=k.positions,_=0;_Y;++Y){for(var X=0;3>X;++X)E[3*P+X]=x[X];for(var X=0;4>X;++X)L[4*P+X]=O[X];C[P]=d;var W=H[G[Y]];S[2*P]=D*(U*W[0]-V*W[1]+z[0]),S[2*P+1]=D*(V*W[0]+U*W[1]+z[1]),P+=1}for(var q=A.edges,H=A.positions,_=0;_Y;++Y){for(var X=0;3>X;++X)E[3*R+X]=x[X];for(var X=0;4>X;++X)L[4*R+X]=I[X];C[R]=d;var W=H[G[Y]];S[2*R]=D*(U*W[0]-V*W[1]+z[0]),S[2*R+1]=D*(V*W[0]+U*W[1]+z[1]),R+=1}d+=1}this.vertexCount=p,this.lineVertexCount=g,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(S),this.idBuffer.update(new Uint32Array(C)),v.free(E),v.free(L),v.free(S),v.free(C),this.bounds=[o,s],this.points=n,this.pointCount=n.length}},_.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{"./lib/glyphs":150,"./lib/shaders":151,"gl-buffer":77,"gl-mat4/multiply":98,"gl-vao":185,"typedarray-pool":237}],153:[function(t,e,r){"use strict";r.boxVertex="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 vertex;\n\nuniform vec2 cornerA, cornerB;\n\nvoid main() {\n gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\n}\n",r.boxFragment="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n gl_FragColor = color;\n}\n"},{}],154:[function(t,e,r){"use strict";function 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g=s[2]-s[0],v=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,h,i),o.drawBox(0,h,f,p,i),o.drawBox(0,p,g,v,i),o.drawBox(d,h,g,p,i)),this.innerFill&&o.drawBox(f,h,d,p,n),r>0){var m=r*u;o.drawBox(f-m,h-m,d+m,h+m,a),o.drawBox(f-m,p-m,d+m,p+m,a),o.drawBox(f-m,h-m,f+m,p+m,a),o.drawBox(d-m,h-m,d+m,p+m,a)}}}},l.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},l.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{"./lib/shaders":153,"gl-buffer":77,"gl-shader":156}],155:[function(t,e,r){"use strict";function n(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function i(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var 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contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\n\nvoid main() {\n if(kill > 0.0 ||\n any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\n discard;\n }\n\n vec3 N = normalize(surfaceNormal);\n vec3 V = normalize(eyeDirection);\n vec3 L = normalize(lightDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = beckmannSpecular_1_1(L, V, N, roughness);\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = texture2D(colormap, vec2(value, value));\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n",o="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\n\nvoid main() {\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n vec4 worldPosition = model * vec4(dataCoordinate, 1.0);\n\n vec4 clipPosition = projection * view * worldPosition;\n clipPosition.z = clipPosition.z + zOffset;\n\n gl_Position = clipPosition;\n value = f;\n kill = -1.0;\n worldCoordinate = dataCoordinate;\n planeCoordinate = uv.zw;\n\n //Don't do lighting for contours\n surfaceNormal = vec3(1,0,0);\n eyeDirection = vec3(0,1,0);\n lightDirection = vec3(0,0,1);\n}\n",s="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n float vh = 255.0 * v;\n float upper = floor(vh);\n float lower = fract(vh);\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n if(kill > 0.0 ||\n any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\n discard;\n }\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n";r.createShader=function(t){var e=n(t,i,a,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,s,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,o,a,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,o,s,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{"gl-shader":156}],176:[function(t,e,r){arguments[4][21][0].apply(r,arguments)},{dup:21}],177:[function(t,e,r){"use strict";function n(t){if(t in l)return l[t];for(var e=[],r=0;t>r;++r)e.push("out",r,"s=0.5*(inp",r,"l-inp",r,"r);");for(var n=["array"],i=["junk"],r=0;t>r;++r){n.push("array"),i.push("out"+r+"s");var a=o(t);a[r]=-1,n.push({array:0,offset:a.slice()}),a[r]=1,n.push({array:0,offset:a.slice()}),i.push("inp"+r+"l","inp"+r+"r")}return l[t]=s({args:n,pre:u,post:u,body:{body:e.join(""),args:i.map(function(t){return{name:t,lvalue:0===t.indexOf("out"),rvalue:0===t.indexOf("inp"),count:"junk"!==t|0}}),thisVars:[],localVars:[]},funcName:"fdTemplate"+t})}function i(t){function e(e){for(var r=a-e.length,n=[],i=[],s=[],l=0;a>l;++l)e.indexOf(l+1)>=0?s.push("0"):e.indexOf(-(l+1))>=0?s.push("s["+l+"]-1"):(s.push("-1"),n.push("1"),i.push("s["+l+"]-2"));var c=".lo("+n.join()+").hi("+i.join()+")";if(0===n.length&&(c=""),r>0){o.push("if(1");for(var l=0;a>l;++l)e.indexOf(l+1)>=0||e.indexOf(-(l+1))>=0||o.push("&&s[",l,"]>2");o.push("){grad",r,"(src.pick(",s.join(),")",c);for(var l=0;a>l;++l)e.indexOf(l+1)>=0||e.indexOf(-(l+1))>=0||o.push(",dst.pick(",s.join(),",",l,")",c);o.push(");")}for(var l=0;l1){dst.set(",s.join(),",",u,",0.5*(src.get(",h.join(),")-src.get(",d.join(),")))}else{dst.set(",s.join(),",",u,",0)};"):o.push("if(s[",u,"]>1){diff(",f,",src.pick(",h.join(),")",c,",src.pick(",d.join(),")",c,");}else{zero(",f,");};");break;case"mirror":0===r?o.push("dst.set(",s.join(),",",u,",0);"):o.push("zero(",f,");");break;case"wrap":var p=s.slice(),g=s.slice();e[l]<0?(p[u]="s["+u+"]-2",g[u]="0"):(p[u]="s["+u+"]-1",g[u]="1"),0===r?o.push("if(s[",u,"]>2){dst.set(",s.join(),",",u,",0.5*(src.get(",p.join(),")-src.get(",g.join(),")))}else{dst.set(",s.join(),",",u,",0)};"):o.push("if(s[",u,"]>2){diff(",f,",src.pick(",p.join(),")",c,",src.pick(",g.join(),")",c,");}else{zero(",f,");};");break;default:throw new Error("ndarray-gradient: Invalid boundary condition")}}r>0&&o.push("};")}var r=t.join(),i=c[r];if(i)return i;for(var a=t.length,o=["function gradient(dst,src){var s=src.shape.slice();"],s=0;1<s;++s){for(var u=[],d=0;a>d;++d)s&1<=s;++s)v.push("grad"+s),m.push(n(s));v.push(o.join(""));var y=Function.apply(void 0,v),i=y.apply(void 0,m);return l[r]=i,i}function a(t,e,r){if(Array.isArray(r)){if(r.length!==e.dimension)throw new Error("ndarray-gradient: invalid boundary conditions")}else r="string"==typeof r?o(e.dimension,r):o(e.dimension,"clamp");if(t.dimension!==e.dimension+1)throw new Error("ndarray-gradient: output dimension must be +1 input dimension");if(t.shape[e.dimension]!==e.dimension)throw new Error("ndarray-gradient: output shape must match input shape");for(var n=0;nr;++r)for(o=o||e.surfaceProject[r],n=0;3>n;++n)s=s||e.contourProject[r][n];for(r=0;3>r;++r){var l=D.projections[r];for(n=0;16>n;++n)l[n]=0;for(n=0;4>n;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],k(l,t.model,l);var c=D.clipBounds[r];for(i=0;2>i;++i)for(n=0;3>n;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return D.showSurface=o,D.showContour=s,D}function s(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=B;n.model=t.model||R,n.view=t.view||R,n.projection=t.projection||R,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.contourColor=this.contourColor[0],n.inverseModel=A(n.inverseModel,n.model);for(var i=0;2>i;++i)for(var a=n.clipBounds[i],s=0;3>s;++s)a[s]=Math.min(Math.max(this.clipBounds[i][s],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=V;var l=U;for(k(l,n.view,n.model),k(l,n.projection,l),A(l,l),i=0;3>i;++i)n.eyePosition[i]=l[12+i]/l[15];var c=l[15];for(i=0;3>i;++i)c+=this.lightPosition[i]*l[4*i+3];for(i=0;3>i;++i){var u=l[12+i];for(s=0;3>s;++s)u+=l[4*s+i]*this.lightPosition[s];n.lightPosition[i]=u/c}var f=o(n,this);if(f.showSurface&&e===this.opacity<1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;3>i;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=f.projections[i],this._shader.uniforms.clipBounds=f.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(f.showContour&&!e){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var d=this._contourVAO;for(d.bind(),i=0;3>i;++i)for(h.uniforms.permutation=I[i],r.lineWidth(this.contourWidth[i]),s=0;si;++i)for(h.uniforms.model=f.projections[i],h.uniforms.clipBounds=f.clipBounds[i],s=0;3>s;++s)if(this.contourProject[i][s]){h.uniforms.permutation=I[s],r.lineWidth(this.contourWidth[s]);for(var p=0;pi;++i)if(0!==this._dynamicCounts[i])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=I[i],r.lineWidth(this.dynamicWidth[i]),h.uniforms.contourColor=this.dynamicColor[i],h.uniforms.contourTint=this.dynamicTint[i],h.uniforms.height=this.dynamicLevel[i],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),s=0;3>s;++s)this.contourProject[s][i]&&(h.uniforms.model=f.projections[s],h.uniforms.clipBounds=f.clipBounds[s],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));d.unbind()}}function l(t,e){var r=e.shape.slice(),n=t.shape.slice();b.assign(t.lo(1,1).hi(r[0],r[1]),e),b.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),b.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),b.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),b.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))}function c(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function u(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function f(t){if(Array.isArray(t)){if(Array.isArray(t))return[u(t[0]),u(t[1]),u(t[2])];var e=u(t);return[e.slice(),e.slice(),e.slice()]}}function h(t){var e=t.gl,r=L(e),n=C(e),i=S(e),o=z(e),s=p(e),l=g(e,[{buffer:s,size:4,stride:P,offset:0},{buffer:s,size:3,stride:P,offset:16},{buffer:s,size:3,stride:P,offset:28}]),c=p(e),u=g(e,[{buffer:c,size:4,stride:20,offset:0},{buffer:c,size:1,stride:20,offset:16}]),f=p(e),h=g(e,[{buffer:f,size:2,type:e.FLOAT}]),d=v(e,1,N,e.RGBA,e.UNSIGNED_BYTE);d.minFilter=e.LINEAR,d.magFilter=e.LINEAR;var m=new a(e,[0,0],[[0,0,0],[0,0,0]],r,n,s,l,d,i,o,c,u,f,h),y={levels:[[],[],[]]};for(var b in t)y[b]=t[b];return y.colormap=y.colormap||"jet",m.update(y),m}e.exports=h;var d=t("bit-twiddle"),p=t("gl-buffer"),g=t("gl-vao"),v=t("gl-texture2d"),m=t("typedarray-pool"),y=t("colormap"),b=t("ndarray-ops"),x=t("ndarray-pack"),_=t("ndarray"),w=t("surface-nets"),k=t("gl-mat4/multiply"),A=t("gl-mat4/invert"),M=t("binary-search-bounds"),T=t("ndarray-gradient"),E=t("./lib/shaders"),L=E.createShader,S=E.createContourShader,C=E.createPickShader,z=E.createPickContourShader,P=40,R=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],O=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],I=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];!function(){for(var t=0;3>t;++t){var e=I[t],r=(t+1)%3,n=(t+2)%3;e[r+0]=1,e[n+3]=1,e[t+6]=1}}();var N=265,j=a.prototype;j.isTransparent=function(){return this.opacity<1},j.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;3>t;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},j.pickSlots=1,j.setPickBase=function(t){this.pickId=t};var F=[0,0,0],D={showSurface:!1,showContour:!1,projections:[R.slice(),R.slice(),R.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]},B={model:R,view:R,projection:R,inverseModel:R.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1},U=R.slice(),V=[1,0,0,0,1,0,0,0,1];j.draw=function(t){return s.call(this,t,!1)},j.drawTransparent=function(t){return s.call(this,t,!0)};var q={model:R,view:R,projection:R,inverseModel:R,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};j.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=q;r.model=t.model||R,r.view=t.view||R,r.projection=t.projection||R,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.permutation=V;for(var n=0;2>n;++n)for(var i=r.clipBounds[n],a=0;3>a;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var s=o(r,this);if(s.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;3>n;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=s.projections[n],this._pickShader.uniforms.clipBounds=s.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(s.showContour){var l=this._contourPickShader;l.bind(),l.uniforms=r;var c=this._contourVAO;for(c.bind(),a=0;3>a;++a)for(e.lineWidth(this.contourWidth[a]),l.uniforms.permutation=I[a],n=0;nn;++n)for(l.uniforms.model=s.projections[n],l.uniforms.clipBounds=s.clipBounds[n],a=0;3>a;++a)if(this.contourProject[n][a]){l.uniforms.permutation=I[a],e.lineWidth(this.contourWidth[a]);for(var u=0;u>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;2>u;++u)for(var f=u?a:1-a,h=0;2>h;++h)for(var d=h?l:1-l,p=i+u,g=s+h,v=f*d,m=0;3>m;++m)c[m]+=this._field[m].get(p,g)*v;for(var y=this._pickResult.level,b=0;3>b;++b)if(y[b]=M.le(this.contourLevels[b],c[b]),y[b]<0)this.contourLevels[b].length>0&&(y[b]=0);else if(y[b]Math.abs(_-c[b])&&(y[b]+=1)}for(r.index[0]=.5>a?i:i+1,r.index[1]=.5>l?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],m=0;3>m;++m)r.dataCoordinate[m]=this._field[m].get(r.index[0],r.index[1]);return r},j.update=function(t){t=t||{},this.dirty=!0,"contourWidth"in t&&(this.contourWidth=c(t.contourWidth,Number)),"showContour"in t&&(this.showContour=c(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=c(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=f(t.contourColor)),"contourProject"in t&&(this.contourProject=c(t.contourProject,function(t){return c(t,Boolean)})),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=f(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=c(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=c(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"colorBounds"in t&&(this.colorBounds=t.colorBounds);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var n=(e.shape[0]+2)*(e.shape[1]+2);n>this._field[2].data.length&&(m.freeFloat(this._field[2].data),this._field[2].data=m.mallocFloat(d.nextPow2(n))),this._field[2]=_(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),l(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;2>o;++o)this._field[2].size>this._field[o].data.length&&(m.freeFloat(this._field[o].data),this._field[o].data=m.mallocFloat(this._field[2].size)),this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var s=t.coords;if(!Array.isArray(s)||3!==s.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;2>o;++o){var u=s[o];for(y=0;2>y;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");l(this._field[o],u)}}else if(t.ticks){var h=t.ticks;if(!Array.isArray(h)||2!==h.length)throw new Error("gl-surface: invalid ticks");for(o=0;2>o;++o){var p=h[o];if((Array.isArray(p)||p.length)&&(p=_(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick 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n(1/0,-(1/0),1/0)],m=[0,0,0]},{"./lib/cube.js":131,"extract-frustum-planes":136,"gl-mat4/multiply":98,"gl-mat4/transpose":106,"gl-vec4/transformMat4":186,"split-polygon":137}],140:[function(t,e,r){"use strict";var n=t("gl-shader"),i="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, color;\nattribute float weight;\n\nuniform mat4 model, view, projection;\nuniform vec3 coordinates[3];\nuniform vec4 colors[3];\nuniform vec2 screenShape;\nuniform float lineWidth;\n\nvarying vec4 fragColor;\n\nvoid main() {\n vec3 vertexPosition = mix(coordinates[0],\n mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\n\n vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\n vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\n vec2 delta = weight * clipOffset * screenShape;\n vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\n\n gl_Position = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\n fragColor = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\n}\n",a="precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n gl_FragColor = fragColor;\n}";e.exports=function(t){return n(t,i,a,null,[{name:"position",type:"vec3"},{name:"color",type:"vec3"},{name:"weight",type:"float"}])}},{"gl-shader":156}],141:[function(t,e,r){"use strict";function n(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}function i(t,e){function r(t,e,r,n,a,o){var s=[t,e,r,0,0,0,1];s[n+3]=1,s[n]=a,i.push.apply(i,s),s[6]=-1,i.push.apply(i,s),s[n]=o,i.push.apply(i,s),i.push.apply(i,s),s[6]=1,i.push.apply(i,s),s[n]=a,i.push.apply(i,s)}var i=[];r(0,0,0,0,0,1),r(0,0,0,1,0,1),r(0,0,0,2,0,1),r(1,0,0,1,-1,1),r(1,0,0,2,-1,1),r(0,1,0,0,-1,1),r(0,1,0,2,-1,1),r(0,0,1,0,-1,1),r(0,0,1,1,-1,1);var l=a(t,i),c=o(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=s(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var f=new n(t,l,c,u);return f.update(e),f}var a=t("gl-buffer"),o=t("gl-vao"),s=t("./shaders/index");e.exports=i;var l=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],c=n.prototype,u=[0,0,0],f=[0,0,0],h=[0,0];c.isTransparent=function(){return!1},c.drawTransparent=function(t){},c.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||l,o=t.view||l,s=t.projection||l;this.axes&&(i=this.axes.lastCubeProps.axis);for(var c=u,d=f,p=0;3>p;++p)i&&i[p]<0?(c[p]=this.bounds[0][p],d[p]=this.bounds[1][p]):(c[p]=this.bounds[1][p],d[p]=this.bounds[0][p]);h[0]=e.drawingBufferWidth,h[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=o,n.uniforms.projection=s,n.uniforms.coordinates=[this.position,c,d],n.uniforms.colors=this.colors,n.uniforms.screenShape=h;for(var p=0;3>p;++p)n.uniforms.lineWidth=this.lineWidth[p]*this.pixelRatio,this.enabled[p]&&(r.draw(e.TRIANGLES,6,6*p),this.drawSides[p]&&r.draw(e.TRIANGLES,12,18+12*p));r.unbind()},c.update=function(t){t&&("bounds"in t&&(this.bounds=t.bounds),"position"in t&&(this.position=t.position),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"colors"in t&&(this.colors=t.colors),"enabled"in t&&(this.enabled=t.enabled),"drawSides"in t&&(this.drawSides=t.drawSides))},c.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{"./shaders/index":140,"gl-buffer":77,"gl-vao":185}],142:[function(t,e,r){"use strict";function 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l=O[o];l.isOpaque&&l.isOpaque()&&l.draw(V)}A.enable(A.BLEND),A.blendEquation(A.FUNC_ADD),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.colorMask(!0,!0,!0,!0),A.depthMask(!1),A.clearColor(0,0,0,0),A.clear(A.COLOR_BUFFER_BIT),z.isTransparent()&&z.drawTransparent(V);for(var o=0;r>o;++o){var l=O[o];l.isTransparent&&l.isTransparent()&&l.drawTransparent(V)}A.bindFramebuffer(A.FRAMEBUFFER,null),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.disable(A.DEPTH_TEST),L.bind(),E.color[0].bind(0),L.uniforms.accumBuffer=0,p(A),A.disable(A.BLEND)}F=!1;for(var o=0;r>o;++o)O[o].dirty=!1}}}function x(){_||H.contextLost||(requestAnimationFrame(x),b())}t=t||{};var _=!1,w=(t.pixelRatio||parseFloat(window.devicePixelRatio),t.canvas);if(!w)if(w=document.createElement("canvas"),t.container){var k=t.container;k.appendChild(w)}else document.body.appendChild(w);var A=t.gl;if(A||(A=i(w,t.glOptions||{premultipliedAlpha:!0,antialias:!0})),!A)throw new Error("webgl not supported");var M=t.bounds||[[-10,-10,-10],[10,10,10]],T=new n,E=d(A,[A.drawingBufferWidth,A.drawingBufferHeight],{preferFloat:!0}),L=m(A),S=t.camera||{eye:[2,0,0],center:[0,0,0],up:[0,1,0],zoomMin:.1,zoomMax:100,mode:"turntable"},C=t.axes||{},z=c(A,C);z.enable=!C.disable;var P=t.spikes||{},R=f(A,P),O=[],I=[],N=[],j=[],F=!0,D=!0,B=new Array(16),U=new Array(16),V={view:null,projection:B,model:U},D=!0,q=[A.drawingBufferWidth,A.drawingBufferHeight],H={gl:A,contextLost:!1,pixelRatio:t.pixelRatio||parseFloat(window.devicePixelRatio),canvas:w,selection:T,camera:l(w,S),axes:z,axesPixels:null,spikes:R,bounds:M,objects:O,shape:q,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:o(t.autoResize),autoBounds:o(t.autoBounds),autoScale:!!t.autoScale,autoCenter:o(t.autoCenter),clipToBounds:o(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:V,oncontextloss:null,mouseListener:null},G=[A.drawingBufferWidth/H.pixelRatio|0,A.drawingBufferHeight/H.pixelRatio|0];H.autoResize&&e(),window.addEventListener("resize",e),H.update=function(t){_||(t=t||{},F=!0,D=!0)},H.add=function(t){_||(t.axes=z,O.push(t),I.push(-1),F=!0,D=!0,r())},H.remove=function(t){if(!_){var e=O.indexOf(t);0>e||(O.splice(e,1),I.pop(),F=!0,D=!0,r())}},H.dispose=function(){if(!_&&(_=!0,window.removeEventListener("resize",e),w.removeEventListener("webglcontextlost",s),H.mouseListener.enabled=!1,!H.contextLost)){z.dispose(),R.dispose();for(var t=0;ts;++s){var l=j[s].query(e,G[1]-r-1,H.pickRadius);if(l){if(l.distance>T.distance)continue;for(var c=0;i>c;++c){var u=O[c];if(I[c]===s){var f=u.pick(l);f&&(T.buttons=t,T.screen=l.coord,T.distance=l.distance,T.object=u,T.index=f.distance,T.dataPosition=f.position,T.dataCoordinate=f.dataCoordinate,T.data=f,o=!0)}}}}}a&&a!==T.object&&(a.highlight&&a.highlight(null),F=!0),T.object&&(T.object.highlight&&T.object.highlight(T.data),F=!0),o=o||T.object!==a,o&&H.onselect&&H.onselect(T),1&t&&!(1&X)&&H.onclick&&H.onclick(T),X=t}}),w.addEventListener("webglcontextlost",s);var W=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],Z=[W[0].slice(),W[1].slice()];return x(),H.redraw=function(){_||(F=!0,b())},H}e.exports=s;var l=t("3d-view-controls"),c=t("gl-axes3d"),u=t("gl-axes3d/properties"),f=t("gl-spikes3d"),h=t("gl-select-static"),d=t("gl-fbo"),p=t("a-big-triangle"),g=t("mouse-change"),v=t("gl-mat4/perspective"),m=t("./lib/shader")},{"./lib/shader":125,"3d-view-controls":126,"a-big-triangle":128,"gl-axes3d":129,"gl-axes3d/properties":139,"gl-fbo":82,"gl-mat4/perspective":99,"gl-select-static":155,"gl-spikes3d":141,"mouse-change":200}],143:[function(t,e,r){"use strict";e.exports={vertex:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec2 offset;\nattribute vec4 color;\n\nuniform mat3 viewTransform;\nuniform vec2 pixelScale;\n\nvarying vec4 fragColor;\n\nvec4 computePosition_1_0(vec2 position, vec2 offset, mat3 view, vec2 scale) {\n vec3 xposition = view * vec3(position, 1.0);\n return vec4(\n xposition.xy + scale * offset * xposition.z,\n 0,\n xposition.z);\n}\n\n\n\n\nvoid main() {\n fragColor = color;\n\n gl_Position = computePosition_1_0(\n position,\n offset,\n viewTransform,\n pixelScale);\n}\n",fragment:"precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n",pickVertex:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec2 offset;\nattribute vec4 id;\n\nuniform mat3 viewTransform;\nuniform vec2 pixelScale;\nuniform vec4 pickOffset;\n\nvarying vec4 fragColor;\n\nvec4 computePosition_1_0(vec2 position, vec2 offset, mat3 view, vec2 scale) {\n vec3 xposition = view * vec3(position, 1.0);\n return vec4(\n xposition.xy + scale * offset * xposition.z,\n 0,\n xposition.z);\n}\n\n\n\n\nvoid main() {\n vec4 fragId = id + pickOffset;\n\n fragId.y += floor(fragId.x / 256.0);\n fragId.x -= floor(fragId.x / 256.0) * 256.0;\n\n fragId.z += floor(fragId.y / 256.0);\n fragId.y -= floor(fragId.y / 256.0) * 256.0;\n\n fragId.w += floor(fragId.z / 256.0);\n fragId.z -= floor(fragId.z / 256.0) * 256.0;\n\n fragColor = fragId / 255.0;\n\n gl_Position = computePosition_1_0(\n position,\n offset,\n viewTransform,\n pixelScale);\n}\n",pickFragment:"precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n gl_FragColor = fragColor;\n}\n"}},{}],144:[function(t,e,r){"use strict";function n(t){if(t in h)return h[t];var e=u(t,{polygons:!0,font:"sans-serif",textAlign:"left",textBaseline:"alphabetic"}),r=[],n=[];e.forEach(function(t){t.forEach(function(t){for(var e=0;eo;++o)i[o]=Math.min(i[o],r[a+o]),i[2+o]=Math.max(i[2+o],r[a+o]);return h[t]={coords:r,normals:n,bounds:i}}function i(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.offsetBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.bounds=[1/0,1/0,-(1/0),-(1/0)],this.numPoints=0,this.numVertices=0,this.pickOffset=0,this.points=null}function a(t,e){var r=t.gl,n=o(r,f.vertex,f.fragment),a=o(r,f.pickVertex,f.pickFragment),l=s(r),c=s(r),u=s(r),h=s(r),d=new i(t,n,a,l,c,u,h);return d.update(e),t.addObject(d),d}e.exports=a;var o=t("gl-shader"),s=t("gl-buffer"),l=t("text-cache"),c=t("typedarray-pool"),u=t("vectorize-text"),f=t("./lib/shaders"),h={},d=i.prototype;!function(){function t(){var t=this.plot,n=this.bounds,i=t.viewBox,a=t.dataBox,o=t.pixelRatio,s=n[2]-n[0],l=n[3]-n[1],c=a[2]-a[0],u=a[3]-a[1];e[0]=2*s/c,e[4]=2*l/u,e[6]=2*(n[0]-a[0])/c-1,e[7]=2*(n[1]-a[1])/u-1;var f=i[2]-i[0],h=i[3]-i[1];r[0]=2*o/f,r[1]=2*o/h}var e=[1,0,0,0,1,0,0,0,1],r=[1,1];d.draw=function(){var n=this.plot,i=this.shader,a=this.numVertices;if(a){var o=n.gl;t.call(this),i.bind(),i.uniforms.pixelScale=r,i.uniforms.viewTransform=e,this.positionBuffer.bind(),i.attributes.position.pointer(),this.offsetBuffer.bind(),i.attributes.offset.pointer(),this.colorBuffer.bind(),i.attributes.color.pointer(o.UNSIGNED_BYTE,!0),o.drawArrays(o.TRIANGLES,0,a)}};var n=[0,0,0,0];d.drawPick=function(i){var a=this.plot,o=this.pickShader,s=this.numVertices,l=a.gl;if(this.pickOffset=i,!s)return i;for(var c=0;4>c;++c)n[c]=i>>8*c&255;return t.call(this),o.bind(),o.uniforms.pixelScale=r,o.uniforms.viewTransform=e,o.uniforms.pickOffset=n,this.positionBuffer.bind(),o.attributes.position.pointer(),this.offsetBuffer.bind(),o.attributes.offset.pointer(),this.idBuffer.bind(),o.attributes.id.pointer(l.UNSIGNED_BYTE,!1),l.drawArrays(l.TRIANGLES,0,s),i+this.numPoints}}(),d.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(n>r||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},d.update=function(t){t=t||{};var e=t.positions||[],r=t.colors||[],i=t.glyphs||[],a=t.sizes||[],o=t.borderWidths||[],s=t.borderColors||[];this.points=e;for(var u=this.bounds=[1/0,1/0,-(1/0),-(1/0)],f=0,h=0;h>1;for(var d=0;2>d;++d)u[d]=Math.min(u[d],e[2*h+d]),u[2+d]=Math.max(u[2+d],e[2*h+d])}u[0]===u[2]&&(u[2]+=1),u[3]===u[1]&&(u[3]+=1);for(var p=1/(u[2]-u[0]),g=1/(u[3]-u[1]),v=u[0],m=u[1],y=c.mallocFloat32(2*f),b=c.mallocFloat32(2*f),x=c.mallocUint8(4*f),_=c.mallocUint32(f),w=0,h=0;h=a?i(0,a-1,t,e,r,n):f(0,a-1,t,e,r,n)}function i(t,e,r,n,i,a){for(var o=t+1;e>=o;++o){for(var s=r[o],l=n[2*o],c=n[2*o+1],u=i[o],f=a[o],h=o;h>t;){var d=r[h-1],p=n[2*(h-1)];if((d-s||l-p)>=0)break;r[h]=d,n[2*h]=p,n[2*h+1]=n[2*h-1],i[h]=i[h-1],a[h]=a[h-1],h-=1}r[h]=s,n[2*h]=l,n[2*h+1]=c,i[h]=u,a[h]=f}}function a(t,e,r,n,i,a){var o=r[t],s=n[2*t],l=n[2*t+1],c=i[t],u=a[t];r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e],r[e]=o,n[2*e]=s,n[2*e+1]=l,i[e]=c,a[e]=u}function o(t,e,r,n,i,a){r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e]}function s(t,e,r,n,i,a,o){var s=n[t],l=i[2*t],c=i[2*t+1],u=a[t],f=o[t];n[t]=n[e],i[2*t]=i[2*e],i[2*t+1]=i[2*e+1],a[t]=a[e],o[t]=o[e],n[e]=n[r],i[2*e]=i[2*r],i[2*e+1]=i[2*r+1],a[e]=a[r],o[e]=o[r],n[r]=s,i[2*r]=l,i[2*r+1]=c,a[r]=u,o[r]=f}function l(t,e,r,n,i,a,o,s,l,c,u){s[t]=s[e],l[2*t]=l[2*e],l[2*t+1]=l[2*e+1],c[t]=c[e],u[t]=u[e],s[e]=r,l[2*e]=n,l[2*e+1]=i,c[e]=a,u[e]=o}function c(t,e,r,n,i){return(r[t]-r[e]||n[2*e]-n[2*t]||i[t]-i[e])<0}function u(t,e,r,n,i,a,o,s){return(e-a[t]||o[2*t]-r||i-s[t])<0}function f(t,e,r,n,d,p){var g=(e-t+1)/6|0,v=t+g,m=e-g,y=t+e>>1,b=y-g,x=y+g,_=v,w=b,k=y,A=x,M=m,T=t+1,E=e-1,L=0;c(_,w,r,n,d,p)&&(L=_,_=w,w=L),c(A,M,r,n,d,p)&&(L=A,A=M,M=L),c(_,k,r,n,d,p)&&(L=_,_=k,k=L),c(w,k,r,n,d,p)&&(L=w,w=k,k=L),c(_,A,r,n,d,p)&&(L=_,_=A,A=L),c(k,A,r,n,d,p)&&(L=k,k=A,A=L),c(w,M,r,n,d,p)&&(L=w,w=M,M=L),c(w,k,r,n,d,p)&&(L=w,w=k,k=L),c(A,M,r,n,d,p)&&(L=A,A=M,M=L);var S=r[w],C=n[2*w],z=n[2*w+1],P=d[w],R=p[w],O=r[A],I=n[2*A],N=n[2*A+1],j=d[A],F=p[A],D=_,B=k,U=M,V=v,q=y,H=m,G=r[D],Y=r[B],X=r[U];r[V]=G,r[q]=Y,r[H]=X;for(var W=0;2>W;++W){var Z=n[2*D+W],K=n[2*B+W],$=n[2*U+W];n[2*V+W]=Z,n[2*q+W]=K,n[2*H+W]=$}var Q=d[D],J=d[B],tt=d[U];d[V]=Q,d[q]=J,d[H]=tt;var et=p[D],rt=p[B],nt=p[U];p[V]=et,p[q]=rt,p[H]=nt,o(b,t,r,n,d,p),o(x,e,r,n,d,p);for(var it=T;E>=it;++it)if(u(it,S,C,z,P,r,n,d))it!==T&&a(it,T,r,n,d,p),++T;else if(!u(it,O,I,N,j,r,n,d))for(;;){if(u(E,O,I,N,j,r,n,d)){u(E,S,C,z,P,r,n,d)?(s(it,T,E,r,n,d,p),++T,--E):(a(it,E,r,n,d,p),--E);break}if(--E=T-2-t?i(t,T-2,r,n,d,p):f(t,T-2,r,n,d,p),h>=e-(E+2)?i(E+2,e,r,n,d,p):f(E+2,e,r,n,d,p),h>=E-T?i(T,E,r,n,d,p):f(T,E,r,n,d,p)}e.exports=n;var h=32},{}],148:[function(t,e,r){"use strict";function n(t,e,r,n,i,a,o,s){for(var l=r,c=r;n>c;++c){var u=t[2*c],f=t[2*c+1],h=e[c];u>=i&&o>=u&&f>=a&&s>=f&&(c===l?l+=1:(t[2*c]=t[2*l],t[2*c+1]=t[2*l+1],e[c]=e[l],t[2*l]=u,t[2*l+1]=f,e[l]=h,l+=1))}return l}function i(t,e,r){this.pixelSize=t,this.offset=e,this.count=r}function a(t,e,r,a){function l(i,a,o,s,c,u){var f=.5*o,h=s+1,d=c-s;r[_]=d,x[_++]=u;for(var p=0;2>p;++p)for(var g=0;2>g;++g){var v=i+p*f,m=a+g*f,y=n(t,e,h,c,v,m,v+f,m+f);if(y!==h){if(y-h>=Math.max(.9*d,32)){var b=c+s>>>1;l(v,m,f,h,b,u+1),h=b}l(v,m,f,h,y,u+1),h=y}}}var c=t.length>>>1;if(1>c)return[];for(var u=1/0,f=1/0,h=-(1/0),d=-(1/0),p=0;c>p;++p){var g=t[2*p],v=t[2*p+1];u=Math.min(u,g),h=Math.max(h,g),f=Math.min(f,v),d=Math.max(d,v),e[p]=p}u===h&&(h+=1+Math.abs(h)),f===d&&(d+=1+Math.abs(h));var m=1/(h-u),y=1/(d-f),b=Math.max(h-u,d-f);a=a||[0,0,0,0],a[0]=u,a[1]=f,a[2]=h,a[3]=d;var x=o.mallocInt32(c),_=0;l(u,f,b,0,c,0),s(x,t,e,r,c);for(var w=[],k=0,A=c,_=c-1;_>=0;--_){t[2*_]=(t[2*_]-u)*m,t[2*_+1]=(t[2*_+1]-f)*y;var M=x[_];M!==k&&(w.push(new i(b*Math.pow(.5,M),_+1,A-(_+1))),A=_+1,k=M)}return w.push(new i(b*Math.pow(.5,M+1),0,A)),o.free(x),w}var o=t("typedarray-pool"),s=t("./lib/sort");e.exports=a},{"./lib/sort":147,"typedarray-pool":237}],149:[function(t,e,r){"use strict";function n(t,e,r,n,i,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.weightBuffer=n,this.shader=i,this.pickShader=a,this.scales=[],this.size=12,this.borderSize=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.bounds=[1/0,1/0,-(1/0),-(1/0)],this.pickOffset=0,this.points=null,this.xCoords=null}function i(t,e){var r=t.gl,i=o(r),s=o(r),l=o(r),c=a(r,u.pointVertex,u.pointFragment),f=a(r,u.pickVertex,u.pickFragment),h=new n(t,i,s,l,c,f);return h.update(e),t.addObject(h),h}var a=t("gl-shader"),o=t("gl-buffer"),s=t("binary-search-bounds"),l=t("snap-points-2d"),c=t("typedarray-pool"),u=t("./lib/shader");e.exports=i;var f=n.prototype;f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.xCoords&&c.free(this.xCoords),this.plot.removeObject(this)},f.update=function(t){function e(e,r){return e in t?t[e]:r}t=t||{},this.size=e("size",12),this.color=e("color",[1,0,0,1]).slice(),this.borderSize=e("borderSize",1),this.borderColor=e("borderColor",[0,0,0,1]).slice(),this.xCoords&&c.free(this.xCoords);var r=t.positions,n=c.mallocFloat32(r.length),i=c.mallocInt32(r.length>>>1);n.set(r);var a=c.mallocFloat32(r.length);this.points=r,this.scales=l(n,i,a,this.bounds),this.offsetBuffer.update(n),this.pickBuffer.update(i),this.weightBuffer.update(a);for(var o=c.mallocFloat32(r.length>>>1),s=0,u=0;s>>1,this.pickOffset=0},f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.scales,o=this.offsetBuffer,l=this.pickBuffer,c=this.bounds,u=this.size,f=this.borderSize,h=n.gl,d=n.pickPixelRatio,p=n.viewBox,g=n.dataBox;if(0===this.pointCount)return r;var v=c[2]-c[0],m=c[3]-c[1],y=g[2]-g[0],b=g[3]-g[1],x=(p[2]-p[0])*d/n.pixelRatio,_=(p[3]-p[1])*d/n.pixelRatio,w=Math.min(y/x,b/_);t[0]=2*v/y,t[4]=2*m/b,t[6]=2*(c[0]-g[0])/y-1,t[7]=2*(c[1]-g[1])/b-1,this.pickOffset=r,e[0]=255&r,e[1]=r>>8&255,e[2]=r>>16&255,e[3]=r>>24&255,i.bind(),i.uniforms.matrix=t,i.uniforms.color=this.color,i.uniforms.borderColor=this.borderColor,i.uniforms.pointSize=d*(u+f),i.uniforms.pickOffset=e,0===this.borderSize?i.uniforms.centerFraction=2:i.uniforms.centerFraction=u/(u+f+1.25),o.bind(),i.attributes.position.pointer(),l.bind(),i.attributes.pickId.pointer(h.UNSIGNED_BYTE);for(var k=this.xCoords,A=(g[0]-c[0]-w*u*d)/v,M=(g[2]-c[0]+w*u*d)/v,T=a.length-1;T>=0;--T){var E=a[T];if(!(E.pixelSize1)){var L=E.offset,S=E.count+L,C=s.ge(k,A,L,S-1),z=s.lt(k,M,C,S-1)+1;z>C&&h.drawArrays(h.POINTS,C,z-C)}}return r+this.pointCount}}(),f.draw=function(){var t=[1,0,0,0,1,0,0,0,1];return function(){var e=this.plot,r=this.shader,n=this.scales,i=this.offsetBuffer,a=this.bounds,o=this.size,l=this.borderSize,c=e.gl,u=e.pixelRatio,f=e.viewBox,h=e.dataBox;if(0!==this.pointCount){var d=a[2]-a[0],p=a[3]-a[1],g=h[2]-h[0],v=h[3]-h[1],m=f[2]-f[0],y=f[3]-f[1],b=Math.min(g/m,v/y);t[0]=2*d/g,t[4]=2*p/v,t[6]=2*(a[0]-h[0])/g-1,t[7]=2*(a[1]-h[1])/v-1,r.bind(),r.uniforms.matrix=t,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointSize=u*(o+l),r.uniforms.useWeight=1,0===this.borderSize?r.uniforms.centerFraction=2:r.uniforms.centerFraction=o/(o+l+1.25),i.bind(),r.attributes.position.pointer(),this.weightBuffer.bind(),r.attributes.weight.pointer();for(var x=this.xCoords,_=(h[0]-a[0]-b*o*u)/d,w=(h[2]-a[0]+b*o*u)/d,k=!0,A=n.length-1;A>=0;--A){var M=n[A];if(!(M.pixelSize1)){var T=M.offset,E=M.count+T,L=s.ge(x,_,T,E-1),S=s.lt(x,w,L,E-1)+1;S>L&&c.drawArrays(c.POINTS,L,S-L),k&&(k=!1,r.uniforms.useWeight=0)}}}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(n>r||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{"./lib/shader":145,"binary-search-bounds":146,"gl-buffer":77,"gl-shader":156,"snap-points-2d":148,"typedarray-pool":237}],150:[function(t,e,r){"use strict";function n(t,e){var r=a[e];if(r||(r=a[e]={}),t in r)return r[t];for(var n=i(t,{textAlign:"center",textBaseline:"middle",lineHeight:1,font:e}),o=i(t,{triangles:!0,textAlign:"center",textBaseline:"middle",lineHeight:1,font:e}),s=[[1/0,1/0],[-(1/0),-(1/0)]],l=0;lu;++u)s[0][u]=Math.min(s[0][u],c[u]),s[1][u]=Math.max(s[1][u],c[u]);return r[t]=[o,n,s]}var i=t("vectorize-text");e.exports=n;var a={}},{"vectorize-text":239}],151:[function(t,e,r){function n(t,e){var r=i(t,e),n=r.attributes;return n.position.location=0,n.color.location=1,n.glyph.location=2,n.id.location=3,r}var i=t("gl-shader"),a="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || \n any(greaterThan(position, clipBounds[1])) ) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = 1.0;\n if(distance(highlightId, id) < 0.0001) {\n scale = highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1);\n vec4 viewPosition = view * worldPosition;\n viewPosition = viewPosition / viewPosition.w;\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n \n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}",o="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || any(greaterThan(position, clipBounds[1]))) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = pixelRatio;\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\n scale *= highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1.0);\n vec4 viewPosition = view * worldPosition;\n vec4 clipPosition = projection * viewPosition;\n clipPosition /= clipPosition.w;\n \n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}",s="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) ||\n any(greaterThan(position, clipBounds[1])) ) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float lscale = pixelRatio * scale;\n if(distance(highlightId, id) < 0.0001) {\n lscale *= highlightScale;\n }\n\n vec4 clipCenter = projection * view * model * vec4(position, 1);\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = dataPosition;\n }\n}\n",l="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(dataCoordinate, fragClipBounds[0])) ||\n any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\n discard;\n } else {\n gl_FragColor = interpColor * opacity;\n }\n}\n",c="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(dataCoordinate, fragClipBounds[0])) || \n any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\n discard;\n } else {\n gl_FragColor = vec4(pickGroup, pickId.bgr);\n }\n}",u=[{ +name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},d={vertex:s,fragment:l,attributes:u},p={vertex:a,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},v={vertex:s,fragment:c,attributes:u};r.createPerspective=function(t){return n(t,f)},r.createOrtho=function(t){return n(t,h)},r.createProject=function(t){return n(t,d)},r.createPickPerspective=function(t){return n(t,p)},r.createPickOrtho=function(t){return n(t,g)},r.createPickProject=function(t){return n(t,v)}},{"gl-shader":156}],152:[function(t,e,r){"use strict";function n(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function i(t,e,r,i){return n(i,i,r),n(i,i,e),n(i,i,t)}function a(t,e){this.index=t,this.dataCoordinate=this.position=e}function o(t,e,r,n,i,o,s,l,c,u,f,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=o,this.glyphBuffer=s,this.idBuffer=l,this.vao=c,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=f,this.pickProjectShader=h,this.points=[],this._selectResult=new a(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.dirty=!0}function s(t){return t[0]=t[1]=t[2]=0,t}function l(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function c(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function u(t){for(var e=S,r=0;2>r;++r)for(var n=0;3>n;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}function f(t,e,r,n,a){var o,f=e.axesProject,h=e.gl,d=t.uniforms,p=r.model||x,g=r.view||x,v=r.projection||x,y=e.axesBounds,b=u(e.clipBounds);o=e.axes?e.axes.lastCubeProps.axis:[1,1,1],w[0]=2/h.drawingBufferWidth,w[1]=2/h.drawingBufferHeight,t.bind(),d.view=g,d.projection=v,d.screenSize=w,d.highlightId=e.highlightId,d.highlightScale=e.highlightScale,d.clipBounds=b,d.pickGroup=e.pickId/255,d.pixelRatio=e.pixelRatio;for(var _=0;3>_;++_)if(f[_]&&e.projectOpacity[_]<1===n){d.scale=e.projectScale[_],d.opacity=e.projectOpacity[_];for(var S=E,C=0;16>C;++C)S[C]=0;for(var C=0;4>C;++C)S[5*C]=1;S[5*_]=0,o[_]<0?S[12+_]=y[0][_]:S[12+_]=y[1][_],m(S,p,S),d.model=S;var z=(_+1)%3,P=(_+2)%3,R=s(k),O=s(A);R[z]=1,O[P]=1;var I=i(v,g,p,l(M,R)),N=i(v,g,p,l(T,O));if(Math.abs(I[1])>Math.abs(N[1])){var j=I;I=N,N=j,j=R,R=O,O=j;var F=z;z=P,P=F}I[0]<0&&(R[z]=-1),N[1]>0&&(O[P]=-1);for(var D=0,B=0,C=0;4>C;++C)D+=Math.pow(p[4*z+C],2),B+=Math.pow(p[4*P+C],2);R[z]/=Math.sqrt(D),O[P]/=Math.sqrt(B),d.axes[0]=R,d.axes[1]=O,d.fragClipBounds[0]=c(L,b[0],_,-1e8),d.fragClipBounds[1]=c(L,b[1],_,1e8),e.vao.draw(h.TRIANGLES,e.vertexCount),e.lineWidth>0&&(h.lineWidth(e.lineWidth),e.vao.draw(h.LINES,e.lineVertexCount,e.vertexCount))}}function h(t,e,r,n,i,a){var o=r.gl;if(r.vao.bind(),i===r.opacity<1||a){t.bind();var s=t.uniforms;s.model=n.model||x,s.view=n.view||x,s.projection=n.projection||x,w[0]=2/o.drawingBufferWidth,w[1]=2/o.drawingBufferHeight,s.screenSize=w,s.highlightId=r.highlightId,s.highlightScale=r.highlightScale,s.fragClipBounds=P,s.clipBounds=r.axes.bounds,s.opacity=r.opacity,s.pickGroup=r.pickId/255,s.pixelRatio=r.pixelRatio,r.vao.draw(o.TRIANGLES,r.vertexCount),r.lineWidth>0&&(o.lineWidth(r.lineWidth),r.vao.draw(o.LINES,r.lineVertexCount,r.vertexCount))}f(e,r,n,i,a),r.vao.unbind()}function d(t){var e=t.gl,r=y.createPerspective(e),n=y.createOrtho(e),i=y.createProject(e),a=y.createPickPerspective(e),s=y.createPickOrtho(e),l=y.createPickProject(e),c=p(e),u=p(e),f=p(e),h=p(e),d=g(e,[{buffer:c,size:3,type:e.FLOAT},{buffer:u,size:4,type:e.FLOAT},{buffer:f,size:2,type:e.FLOAT},{buffer:h,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new o(e,r,n,i,c,u,f,h,d,a,s,l);return v.update(t),v}var p=t("gl-buffer"),g=t("gl-vao"),v=t("typedarray-pool"),m=t("gl-mat4/multiply"),y=t("./lib/shaders"),b=t("./lib/glyphs"),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];e.exports=d;var _=o.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.opacity<1)return!0;for(var t=0;3>t;++t)if(this.axesProject[t]&&this.projectOpacity[t]<1)return!0;return!1},_.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;3>t;++t)if(this.axesProject[t]&&this.projectOpacity[t]>=1)return!0;return!1};var w=[0,0],k=[0,0,0],A=[0,0,0],M=[0,0,0,1],T=[0,0,0,1],E=x.slice(),L=[0,0,0],S=[[0,0,0],[0,0,0]],C=[-1e8,-1e8,-1e8],z=[1e8,1e8,1e8],P=[C,z];_.draw=function(t){var e=this.useOrtho?this.orthoShader:this.shader;h(e,this.projectShader,this,t,!1,!1)},_.drawTransparent=function(t){var e=this.useOrtho?this.orthoShader:this.shader;h(e,this.projectShader,this,t,!0,!1)},_.drawPick=function(t){var e=this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader;h(e,this.pickProjectShader,this,t,!1,!0)},_.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||0>e)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;3>i;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},_.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},_.update=function(t){if(t=t||{},"perspective"in t&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if("projectOpacity"in t)if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{var r=+t.projectOpacity;this.projectOpacity=[r,r,r]}"opacity"in t&&(this.opacity=t.opacity),this.dirty=!0;var n=t.position;if(n){var i=t.font||"normal",a=t.alignment||[0,0],o=[1/0,1/0,1/0],s=[-(1/0),-(1/0),-(1/0)],l=t.glyph,c=t.color,u=t.size,f=t.angle,h=t.lineColor,d=0,p=0,g=0,m=n.length;t:for(var y=0;m>y;++y){for(var x=n[y],_=0;3>_;++_)if(isNaN(x[_])||!isFinite(x[_]))continue t;var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b("\u25cf",i);var k=w[0],A=w[1],M=w[2];p+=3*k.cells.length,g+=2*A.edges.length}var T=p+g,E=v.mallocFloat(3*T),L=v.mallocFloat(4*T),S=v.mallocFloat(2*T),C=v.mallocUint32(T),z=[0,a[1]],P=0,R=p,O=[0,0,0,1],I=[0,0,0,1],N=Array.isArray(c)&&Array.isArray(c[0]),j=Array.isArray(h)&&Array.isArray(h[0]);t:for(var y=0;m>y;++y){for(var x=n[y],_=0;3>_;++_){if(isNaN(x[_])||!isFinite(x[_])){d+=1;continue t}s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_])}var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b("\u25cf",i);var k=w[0],A=w[1],M=w[2];if(Array.isArray(c)){var F;if(F=N?c[y]:c,3===F.length){for(var _=0;3>_;++_)O[_]=F[_];O[3]=1}else if(4===F.length)for(var _=0;4>_;++_)O[_]=F[_]}else O[0]=O[1]=O[2]=0,O[3]=1;if(Array.isArray(h)){var F;if(F=j?h[y]:h,3===F.length){for(var _=0;3>_;++_)I[_]=F[_];I[_]=1}else if(4===F.length)for(var _=0;4>_;++_)I[_]=F[_]}else I[0]=I[1]=I[2]=0,I[3]=1;var D=.5;Array.isArray(u)?D=+u[y]:u?D=+u:this.useOrtho&&(D=12);var B=0;Array.isArray(f)?B=+f[y]:f&&(B=+f);for(var U=Math.cos(B),V=Math.sin(B),x=n[y],_=0;3>_;++_)s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_]);a[0]<0?z[0]=a[0]*(1+M[1][0]):a[0]>0&&(z[0]=-a[0]*(1+M[0][0]));for(var q=k.cells,H=k.positions,_=0;_Y;++Y){for(var X=0;3>X;++X)E[3*P+X]=x[X];for(var X=0;4>X;++X)L[4*P+X]=O[X];C[P]=d;var W=H[G[Y]];S[2*P]=D*(U*W[0]-V*W[1]+z[0]),S[2*P+1]=D*(V*W[0]+U*W[1]+z[1]),P+=1}for(var q=A.edges,H=A.positions,_=0;_Y;++Y){for(var X=0;3>X;++X)E[3*R+X]=x[X];for(var X=0;4>X;++X)L[4*R+X]=I[X];C[R]=d;var W=H[G[Y]];S[2*R]=D*(U*W[0]-V*W[1]+z[0]),S[2*R+1]=D*(V*W[0]+U*W[1]+z[1]),R+=1}d+=1}this.vertexCount=p,this.lineVertexCount=g,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(S),this.idBuffer.update(new 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n(t){this.plot=t,this.enable=[!0,!0,!1,!1],this.width=[1,1,1,1],this.color=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.center=[1/0,1/0]}function i(t,e){var r=new n(t);return r.update(e),t.addOverlay(r),r}e.exports=i;var a=n.prototype;a.update=function(t){t=t||{},this.enable=(t.enable||[!0,!0,!1,!1]).slice(),this.width=(t.width||[1,1,1,1]).slice(),this.color=(t.color||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]).map(function(t){return t.slice()}),this.center=(t.center||[1/0,1/0]).slice(),this.plot.setOverlayDirty()},a.draw=function(){var t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var 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vec4 cameraCoordinate = view * worldPosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n lightDirection = lightPosition - cameraCoordinate.xyz;\n eyeDirection = eyePosition - cameraCoordinate.xyz;\n surfaceNormal = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n",a="precision mediump float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution_2_0(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\n\n\nfloat beckmannSpecular_1_1(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness) {\n return beckmannDistribution_2_0(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\n\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\n\nvoid main() {\n if(kill > 0.0 ||\n any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\n discard;\n }\n\n vec3 N = normalize(surfaceNormal);\n vec3 V = normalize(eyeDirection);\n vec3 L = normalize(lightDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = beckmannSpecular_1_1(L, V, N, roughness);\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = texture2D(colormap, vec2(value, value));\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n",o="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\n\nvoid main() {\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n vec4 worldPosition = model * vec4(dataCoordinate, 1.0);\n\n vec4 clipPosition = projection * view * worldPosition;\n clipPosition.z = clipPosition.z + zOffset;\n\n gl_Position = clipPosition;\n value = f;\n kill = -1.0;\n worldCoordinate = dataCoordinate;\n planeCoordinate = uv.zw;\n\n //Don't do lighting for contours\n surfaceNormal = vec3(1,0,0);\n eyeDirection = vec3(0,1,0);\n lightDirection = vec3(0,0,1);\n}\n",s="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n float vh = 255.0 * v;\n float upper = floor(vh);\n float lower = fract(vh);\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n if(kill > 0.0 ||\n any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\n discard;\n }\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n";r.createShader=function(t){var e=n(t,i,a,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,s,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,o,a,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,o,s,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{"gl-shader":156}],176:[function(t,e,r){arguments[4][21][0].apply(r,arguments)},{dup:21}],177:[function(t,e,r){"use strict";function n(t){if(t in l)return l[t];for(var e=[],r=0;t>r;++r)e.push("out",r,"s=0.5*(inp",r,"l-inp",r,"r);");for(var n=["array"],i=["junk"],r=0;t>r;++r){n.push("array"),i.push("out"+r+"s");var a=o(t);a[r]=-1,n.push({array:0,offset:a.slice()}),a[r]=1,n.push({array:0,offset:a.slice()}),i.push("inp"+r+"l","inp"+r+"r")}return l[t]=s({args:n,pre:u,post:u,body:{body:e.join(""),args:i.map(function(t){return{name:t,lvalue:0===t.indexOf("out"),rvalue:0===t.indexOf("inp"),count:"junk"!==t|0}}),thisVars:[],localVars:[]},funcName:"fdTemplate"+t})}function i(t){function e(e){for(var r=a-e.length,n=[],i=[],s=[],l=0;a>l;++l)e.indexOf(l+1)>=0?s.push("0"):e.indexOf(-(l+1))>=0?s.push("s["+l+"]-1"):(s.push("-1"),n.push("1"),i.push("s["+l+"]-2"));var c=".lo("+n.join()+").hi("+i.join()+")";if(0===n.length&&(c=""),r>0){o.push("if(1");for(var l=0;a>l;++l)e.indexOf(l+1)>=0||e.indexOf(-(l+1))>=0||o.push("&&s[",l,"]>2");o.push("){grad",r,"(src.pick(",s.join(),")",c);for(var l=0;a>l;++l)e.indexOf(l+1)>=0||e.indexOf(-(l+1))>=0||o.push(",dst.pick(",s.join(),",",l,")",c);o.push(");")}for(var l=0;l1){dst.set(",s.join(),",",u,",0.5*(src.get(",h.join(),")-src.get(",d.join(),")))}else{dst.set(",s.join(),",",u,",0)};"):o.push("if(s[",u,"]>1){diff(",f,",src.pick(",h.join(),")",c,",src.pick(",d.join(),")",c,");}else{zero(",f,");};");break;case"mirror":0===r?o.push("dst.set(",s.join(),",",u,",0);"):o.push("zero(",f,");");break;case"wrap":var p=s.slice(),g=s.slice();e[l]<0?(p[u]="s["+u+"]-2",g[u]="0"):(p[u]="s["+u+"]-1",g[u]="1"),0===r?o.push("if(s[",u,"]>2){dst.set(",s.join(),",",u,",0.5*(src.get(",p.join(),")-src.get(",g.join(),")))}else{dst.set(",s.join(),",",u,",0)};"):o.push("if(s[",u,"]>2){diff(",f,",src.pick(",p.join(),")",c,",src.pick(",g.join(),")",c,");}else{zero(",f,");};");break;default:throw new Error("ndarray-gradient: Invalid boundary condition")}}r>0&&o.push("};")}var r=t.join(),i=c[r];if(i)return i;for(var a=t.length,o=["function gradient(dst,src){var s=src.shape.slice();"],s=0;1<s;++s){for(var u=[],d=0;a>d;++d)s&1<=s;++s)v.push("grad"+s),m.push(n(s));v.push(o.join(""));var y=Function.apply(void 0,v),i=y.apply(void 0,m);return l[r]=i,i}function a(t,e,r){if(Array.isArray(r)){if(r.length!==e.dimension)throw new Error("ndarray-gradient: invalid boundary conditions")}else r="string"==typeof r?o(e.dimension,r):o(e.dimension,"clamp");if(t.dimension!==e.dimension+1)throw new Error("ndarray-gradient: output dimension must be +1 input dimension");if(t.shape[e.dimension]!==e.dimension)throw new Error("ndarray-gradient: output shape must match input shape");for(var n=0;nr;++r)for(o=o||e.surfaceProject[r],n=0;3>n;++n)s=s||e.contourProject[r][n];for(r=0;3>r;++r){var l=D.projections[r];for(n=0;16>n;++n)l[n]=0;for(n=0;4>n;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],k(l,t.model,l);var c=D.clipBounds[r];for(i=0;2>i;++i)for(n=0;3>n;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return D.showSurface=o,D.showContour=s,D}function s(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=B;n.model=t.model||R,n.view=t.view||R,n.projection=t.projection||R,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.contourColor=this.contourColor[0],n.inverseModel=A(n.inverseModel,n.model);for(var i=0;2>i;++i)for(var a=n.clipBounds[i],s=0;3>s;++s)a[s]=Math.min(Math.max(this.clipBounds[i][s],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=V;var l=U;for(k(l,n.view,n.model),k(l,n.projection,l),A(l,l),i=0;3>i;++i)n.eyePosition[i]=l[12+i]/l[15];var c=l[15];for(i=0;3>i;++i)c+=this.lightPosition[i]*l[4*i+3];for(i=0;3>i;++i){var u=l[12+i];for(s=0;3>s;++s)u+=l[4*s+i]*this.lightPosition[s];n.lightPosition[i]=u/c}var f=o(n,this);if(f.showSurface&&e===this.opacity<1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;3>i;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=f.projections[i],this._shader.uniforms.clipBounds=f.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(f.showContour&&!e){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var d=this._contourVAO;for(d.bind(),i=0;3>i;++i)for(h.uniforms.permutation=I[i],r.lineWidth(this.contourWidth[i]),s=0;si;++i)for(h.uniforms.model=f.projections[i],h.uniforms.clipBounds=f.clipBounds[i],s=0;3>s;++s)if(this.contourProject[i][s]){h.uniforms.permutation=I[s],r.lineWidth(this.contourWidth[s]);for(var p=0;pi;++i)if(0!==this._dynamicCounts[i])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=I[i],r.lineWidth(this.dynamicWidth[i]),h.uniforms.contourColor=this.dynamicColor[i],h.uniforms.contourTint=this.dynamicTint[i],h.uniforms.height=this.dynamicLevel[i],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),s=0;3>s;++s)this.contourProject[s][i]&&(h.uniforms.model=f.projections[s],h.uniforms.clipBounds=f.clipBounds[s],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));d.unbind()}}function l(t,e){var r=e.shape.slice(),n=t.shape.slice();b.assign(t.lo(1,1).hi(r[0],r[1]),e),b.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),b.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),b.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),b.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))}function c(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function u(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function f(t){if(Array.isArray(t)){if(Array.isArray(t))return[u(t[0]),u(t[1]),u(t[2])];var e=u(t);return[e.slice(),e.slice(),e.slice()]}}function h(t){var e=t.gl,r=L(e),n=C(e),i=S(e),o=z(e),s=p(e),l=g(e,[{buffer:s,size:4,stride:P,offset:0},{buffer:s,size:3,stride:P,offset:16},{buffer:s,size:3,stride:P,offset:28}]),c=p(e),u=g(e,[{buffer:c,size:4,stride:20,offset:0},{buffer:c,size:1,stride:20,offset:16}]),f=p(e),h=g(e,[{buffer:f,size:2,type:e.FLOAT}]),d=v(e,1,N,e.RGBA,e.UNSIGNED_BYTE);d.minFilter=e.LINEAR,d.magFilter=e.LINEAR;var m=new a(e,[0,0],[[0,0,0],[0,0,0]],r,n,s,l,d,i,o,c,u,f,h),y={levels:[[],[],[]]};for(var b in t)y[b]=t[b];return y.colormap=y.colormap||"jet",m.update(y),m}e.exports=h;var d=t("bit-twiddle"),p=t("gl-buffer"),g=t("gl-vao"),v=t("gl-texture2d"),m=t("typedarray-pool"),y=t("colormap"),b=t("ndarray-ops"),x=t("ndarray-pack"),_=t("ndarray"),w=t("surface-nets"),k=t("gl-mat4/multiply"),A=t("gl-mat4/invert"),M=t("binary-search-bounds"),T=t("ndarray-gradient"),E=t("./lib/shaders"),L=E.createShader,S=E.createContourShader,C=E.createPickShader,z=E.createPickContourShader,P=40,R=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],O=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],I=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];!function(){for(var t=0;3>t;++t){var e=I[t],r=(t+1)%3,n=(t+2)%3;e[r+0]=1,e[n+3]=1,e[t+6]=1}}();var N=265,j=a.prototype;j.isTransparent=function(){return this.opacity<1},j.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;3>t;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},j.pickSlots=1,j.setPickBase=function(t){this.pickId=t};var F=[0,0,0],D={showSurface:!1,showContour:!1,projections:[R.slice(),R.slice(),R.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]},B={model:R,view:R,projection:R,inverseModel:R.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1},U=R.slice(),V=[1,0,0,0,1,0,0,0,1];j.draw=function(t){return s.call(this,t,!1)},j.drawTransparent=function(t){return s.call(this,t,!0)};var q={model:R,view:R,projection:R,inverseModel:R,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};j.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=q;r.model=t.model||R,r.view=t.view||R,r.projection=t.projection||R,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.permutation=V;for(var n=0;2>n;++n)for(var i=r.clipBounds[n],a=0;3>a;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var s=o(r,this);if(s.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;3>n;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=s.projections[n],this._pickShader.uniforms.clipBounds=s.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(s.showContour){var l=this._contourPickShader;l.bind(),l.uniforms=r;var c=this._contourVAO;for(c.bind(),a=0;3>a;++a)for(e.lineWidth(this.contourWidth[a]),l.uniforms.permutation=I[a],n=0;nn;++n)for(l.uniforms.model=s.projections[n],l.uniforms.clipBounds=s.clipBounds[n],a=0;3>a;++a)if(this.contourProject[n][a]){l.uniforms.permutation=I[a],e.lineWidth(this.contourWidth[a]);for(var u=0;u>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;2>u;++u)for(var f=u?a:1-a,h=0;2>h;++h)for(var d=h?l:1-l,p=i+u,g=s+h,v=f*d,m=0;3>m;++m)c[m]+=this._field[m].get(p,g)*v;for(var y=this._pickResult.level,b=0;3>b;++b)if(y[b]=M.le(this.contourLevels[b],c[b]),y[b]<0)this.contourLevels[b].length>0&&(y[b]=0);else if(y[b]Math.abs(_-c[b])&&(y[b]+=1)}for(r.index[0]=.5>a?i:i+1,r.index[1]=.5>l?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],m=0;3>m;++m)r.dataCoordinate[m]=this._field[m].get(r.index[0],r.index[1]);return r},j.update=function(t){t=t||{},this.dirty=!0,"contourWidth"in t&&(this.contourWidth=c(t.contourWidth,Number)),"showContour"in t&&(this.showContour=c(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=c(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=f(t.contourColor)),"contourProject"in t&&(this.contourProject=c(t.contourProject,function(t){return c(t,Boolean)})),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=f(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=c(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=c(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"colorBounds"in t&&(this.colorBounds=t.colorBounds);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var n=(e.shape[0]+2)*(e.shape[1]+2);n>this._field[2].data.length&&(m.freeFloat(this._field[2].data),this._field[2].data=m.mallocFloat(d.nextPow2(n))),this._field[2]=_(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),l(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;2>o;++o)this._field[2].size>this._field[o].data.length&&(m.freeFloat(this._field[o].data),this._field[o].data=m.mallocFloat(this._field[2].size)),this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var s=t.coords;if(!Array.isArray(s)||3!==s.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;2>o;++o){var u=s[o];for(y=0;2>y;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");l(this._field[o],u)}}else if(t.ticks){var h=t.ticks;if(!Array.isArray(h)||2!==h.length)throw new Error("gl-surface: invalid ticks");for(o=0;2>o;++o){var p=h[o];if((Array.isArray(p)||p.length)&&(p=_(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var g=_(p.data,a);g.stride[o]=p.stride[0],g.stride[1^o]=0,l(this._field[o],g)}}else{for(o=0;2>o;++o){var v=[0,0];v[o]=1,this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;yo;++o)T(x.pick(o),b[o],"mirror");var k=_(m.mallocFloat(3*b[2].size),[a[0]+2,a[1]+2,3]);for(o=0;oI?(I=Math.max(Math.abs(z),Math.abs(P),Math.abs(R)),1e-8>I?(R=1,P=z=0,I=1):I=1/I):I=1/Math.sqrt(I),k.set(o,y,0,z*I),k.set(o,y,1,P*I),k.set(o,y,2,R*I)}m.free(x.data);var N=[1/0,1/0,1/0],j=[-(1/0),-(1/0),-(1/0)],F=1/0,D=-(1/0),B=(a[0]-1)*(a[1]-1)*6,U=m.mallocFloat(d.nextPow2(10*B)),V=0,q=0;for(o=0;oH;++H)for(var G=0;2>G;++G)for(var Y=0;3>Y;++Y){var X=this._field[Y].get(1+o+H,1+y+G);if(isNaN(X)||!isFinite(X))continue t}for(Y=0;6>Y;++Y){var W=o+O[Y][0],Z=y+O[Y][1],K=this._field[0].get(W+1,Z+1),$=this._field[1].get(W+1,Z+1);X=this._field[2].get(W+1,Z+1);var Q=X;z=k.get(W+1,Z+1,0),P=k.get(W+1,Z+1,1),R=k.get(W+1,Z+1,2),t.intensity&&(Q=t.intensity.get(W,Z)),U[V++]=W,U[V++]=Z,U[V++]=K,U[V++]=$,U[V++]=X,U[V++]=0,U[V++]=Q,U[V++]=z,U[V++]=P,U[V++]=R,N[0]=Math.min(N[0],K),N[1]=Math.min(N[1],$),N[2]=Math.min(N[2],X),F=Math.min(F,Q),j[0]=Math.max(j[0],K),j[1]=Math.max(j[1],$),j[2]=Math.max(j[2],X),D=Math.max(D,Q),q+=1}}for(t.intensityBounds&&(F=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;V>o;o+=10)U[o]=(U[o]-F)/(D-F);this._vertexCount=q, this._coordinateBuffer.update(U.subarray(0,V)),m.freeFloat(U),m.free(k.data),this.bounds=[N,j],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===F&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[F,D]}if("levels"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;3>o;++o)J[o]=J[o].slice(),J.sort(function(t,e){return t-e});t:for(o=0;3>o;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;yet;++et){J=this.contourLevels[et];var rt=[],nt=[],it=[0,0,0];for(o=0;oY;++Y){var st=at.positions[ot[Y]],lt=st[0],ct=0|Math.floor(lt),ut=lt-ct,ft=st[1],ht=0|Math.floor(ft),dt=ft-ht,pt=!1;e:for(var gt=0;3>gt;++gt){it[gt]=0;var vt=(et+gt+1)%3;for(H=0;2>H;++H){var mt=H?ut:1-ut;for(W=0|Math.min(Math.max(ct+H,0),a[0]),G=0;2>G;++G){var yt=G?dt:1-dt;if(Z=0|Math.min(Math.max(ht+G,0),a[1]),X=2>gt?this._field[vt].get(W,Z):(this.intensity.get(W,Z)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(X)||isNaN(X)){pt=!0;break e}var bt=mt*yt;it[gt]+=bt*X}}}if(pt){if(Y>0){for(var xt=0;5>xt;++xt)tt.pop();q-=1}continue t}tt.push(it[0],it[1],st[0],st[1],it[2]),q+=1}}nt.push(q)}this._contourOffsets[et]=rt,this._contourCounts[et]=nt}var _t=m.mallocFloat(tt.length);for(o=0;ot;++t)m.freeFloat(this._field[t].data)},j.highlight=function(t){if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(var e=0;3>e;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;var r;if(r=this.snapToData?t.dataCoordinate:t.position,this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=m.mallocFloat(12*i[0]*i[1]),o=0;3>o;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var s=(o+1)%3,l=(o+2)%3,c=this._field[o],u=this._field[s],f=this._field[l],h=(this.intensity,w(c,r[o])),d=h.cells,p=h.positions;for(this._dynamicOffsets[o]=n,e=0;ev;++v){var y=p[g[v]],b=+y[0],x=0|b,_=0|Math.min(x+1,i[0]),k=b-x,A=1-k,M=+y[1],T=0|M,E=0|Math.min(T+1,i[1]),L=M-T,S=1-L,C=A*S,z=A*L,P=k*S,R=k*L,O=C*u.get(x,T)+z*u.get(x,E)+P*u.get(_,T)+R*u.get(_,E),I=C*f.get(x,T)+z*f.get(x,E)+P*f.get(_,T)+R*f.get(_,E);if(isNaN(O)||isNaN(I)){v&&(n-=1);break}a[2*n+0]=O,a[2*n+1]=I,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),m.freeFloat(a)}}},{"./lib/shaders":175,"binary-search-bounds":176,"bit-twiddle":50,colormap:59,"gl-buffer":77,"gl-mat4/invert":96,"gl-mat4/multiply":98,"gl-texture2d":181,"gl-vao":185,ndarray:212,"ndarray-gradient":177,"ndarray-ops":211,"ndarray-pack":178,"surface-nets":231,"typedarray-pool":237}],181:[function(t,e,r){"use strict";function n(t){v=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],m=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],y=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function i(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(0>e||e>i||0>r||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function a(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}function o(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function s(t,e,r,n,i,a,s,l){var c=l.dtype,u=l.shape.slice();if(u.length<2||u.length>3)throw new Error("gl-texture2d: Invalid ndarray, must be 2d or 3d");var f=0,h=0,v=o(u,l.stride.slice());"float32"===c?f=t.FLOAT:"float64"===c?(f=t.FLOAT,v=!1,c="float32"):"uint8"===c?f=t.UNSIGNED_BYTE:(f=t.UNSIGNED_BYTE,v=!1,c="uint8");var m=1;if(2===u.length)h=t.LUMINANCE,u=[u[0],u[1],1],l=d(l.data,u,[l.stride[0],l.stride[1],1],l.offset);else{if(3!==u.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===u[2])h=t.ALPHA;else if(2===u[2])h=t.LUMINANCE_ALPHA;else if(3===u[2])h=t.RGB;else{if(4!==u[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");h=t.RGBA}m=u[2]}if(h!==t.LUMINANCE&&h!==t.ALPHA||i!==t.LUMINANCE&&i!==t.ALPHA||(h=i),h!==i)throw new Error("gl-texture2d: Incompatible texture format for setPixels");var y=l.size,x=s.indexOf(n)<0;if(x&&s.push(n),f===a&&v)0===l.offset&&l.data.length===y?x?t.texImage2D(t.TEXTURE_2D,n,i,u[0],u[1],0,i,a,l.data):t.texSubImage2D(t.TEXTURE_2D,n,e,r,u[0],u[1],i,a,l.data):x?t.texImage2D(t.TEXTURE_2D,n,i,u[0],u[1],0,i,a,l.data.subarray(l.offset,l.offset+y)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,u[0],u[1],i,a,l.data.subarray(l.offset,l.offset+y));else{var _;_=a===t.FLOAT?g.mallocFloat32(y):g.mallocUint8(y);var w=d(_,u,[u[2],u[2]*u[0],1]);f===t.FLOAT&&a===t.UNSIGNED_BYTE?b(w,l):p.assign(w,l),x?t.texImage2D(t.TEXTURE_2D,n,i,u[0],u[1],0,i,a,_.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,u[0],u[1],i,a,_.subarray(0,y)),a===t.FLOAT?g.freeFloat32(_):g.freeUint8(_)}}function l(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function c(t,e,r,n,i){var o=t.getParameter(t.MAX_TEXTURE_SIZE);if(0>e||e>o||0>r||r>o)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var s=l(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new a(t,s,e,r,n,i)}function u(t,e,r,n){var i=l(t);return t.texImage2D(t.TEXTURE_2D,0,r,r,n,e),new a(t,i,0|e.width,0|e.height,r,n)}function f(t,e){var r=e.dtype,n=e.shape.slice(),i=t.getParameter(t.MAX_TEXTURE_SIZE);if(n[0]<0||n[0]>i||n[1]<0||n[1]>i)throw new Error("gl-texture2d: Invalid texture size");var s=o(n,e.stride.slice()),c=0;"float32"===r?c=t.FLOAT:"float64"===r?(c=t.FLOAT,s=!1,r="float32"):"uint8"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,s=!1,r="uint8");var u=0;if(2===n.length)u=t.LUMINANCE,n=[n[0],n[1],1],e=d(e.data,n,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==n.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===n[2])u=t.ALPHA;else if(2===n[2])u=t.LUMINANCE_ALPHA;else if(3===n[2])u=t.RGB;else{if(4!==n[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");u=t.RGBA}}c!==t.FLOAT||t.getExtension("OES_texture_float")||(c=t.UNSIGNED_BYTE,s=!1);var f,h,v=e.size;if(s)f=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var m=[n[2],n[2]*n[0],1];h=g.malloc(v,r);var y=d(h,n,m,0);"float32"!==r&&"float64"!==r||c!==t.UNSIGNED_BYTE?p.assign(y,e):b(y,e),f=h.subarray(0,v)}var x=l(t);return t.texImage2D(t.TEXTURE_2D,0,u,n[0],n[1],0,u,c,f),s||g.free(h),new a(t,x,n[0],n[1],u,c)}function h(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");if(v||n(t),"number"==typeof arguments[1])return c(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return c(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1];if(e instanceof HTMLCanvasElement||e instanceof HTMLImageElement||e instanceof HTMLVideoElement||e instanceof ImageData)return u(t,e,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return f(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")}var d=t("ndarray"),p=t("ndarray-ops"),g=t("typedarray-pool");e.exports=h;var v=null,m=null,y=null,b=function(t,e){p.muls(t,e,255)},x=a.prototype;Object.defineProperties(x,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&v.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),m.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&v.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),m.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),y.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),y.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;2>e;++e)if(y.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return 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HTMLCanvasElement||t instanceof ImageData||t instanceof HTMLImageElement||t instanceof HTMLVideoElement){var a=this._mipLevels.indexOf(n)<0;a?(i.texImage2D(i.TEXTURE_2D,0,this.format,this.format,this.type,t),this._mipLevels.push(n)):i.texSubImage2D(i.TEXTURE_2D,n,e,r,this.format,this.type,t)}else{if(!(t.shape&&t.stride&&t.data))throw new Error("gl-texture2d: Unsupported data type");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>n||r+t.shape[0]>this._shape[0]>>>n||0>e||0>r)throw new Error("gl-texture2d: Texture dimensions are out of bounds");s(i,e,r,n,this.format,this.type,this._mipLevels,t)}}},{ndarray:212,"ndarray-ops":211,"typedarray-pool":237}],182:[function(t,e,r){"use strict";function n(t,e,r){e?e.bind():t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null);var n=0|t.getParameter(t.MAX_VERTEX_ATTRIBS);if(r){if(r.length>n)throw new Error("gl-vao: Too many vertex attributes");for(var i=0;ii;++i)t.disableVertexAttribArray(i)}else{t.bindBuffer(t.ARRAY_BUFFER,null);for(var 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this._normSign()},i.prototype._normSign=function(){return 1===this.length&&0===this.words[0]&&(this.sign=!1),this},i.prototype.inspect=function(){return(this.red?""};var p=["","0","00","000","0000","00000","000000","0000000","00000000","000000000","0000000000","00000000000","000000000000","0000000000000","00000000000000","000000000000000","0000000000000000","00000000000000000","000000000000000000","0000000000000000000","00000000000000000000","000000000000000000000","0000000000000000000000","00000000000000000000000","000000000000000000000000","0000000000000000000000000"],g=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],v=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176]; -i.prototype.toString=function(t,e){if(t=t||10,16===t||"hex"===t){for(var n="",i=0,e=0|e||1,a=0,o=0;o>>24-i&16777215,n=0!==a||o!==this.length-1?p[6-l.length]+l+n:l+n,i+=2,i>=26&&(i-=26,o--)}for(0!==a&&(n=a.toString(16)+n);n.length%e!==0;)n="0"+n;return this.sign&&(n="-"+n),n}if(t===(0|t)&&t>=2&&36>=t){var c=g[t],u=v[t],n="",f=this.clone();for(f.sign=!1;0!==f.cmpn(0);){var h=f.modn(u).toString(t);f=f.idivn(u),n=0!==f.cmpn(0)?p[c-h.length]+h+n:h+n}return 0===this.cmpn(0)&&(n="0"+n),this.sign&&(n="-"+n),n}r(!1,"Base should be between 2 and 36")},i.prototype.toJSON=function(){return this.toString(16)},i.prototype.toArray=function(t){this.strip();var e=new Array(this.byteLength());e[0]=0;var r=this.clone();if("le"!==t)for(var n=0;0!==r.cmpn(0);n++){var i=r.andln(255);r.ishrn(8),e[e.length-n-1]=i}else for(var n=0;0!==r.cmpn(0);n++){var i=r.andln(255);r.ishrn(8),e[n]=i}return e},Math.clz32?i.prototype._countBits=function(t){return 32-Math.clz32(t)}:i.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},i.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0===(8191&e)&&(r+=13,e>>>=13),0===(127&e)&&(r+=7,e>>>=7),0===(15&e)&&(r+=4,e>>>=4),0===(3&e)&&(r+=2,e>>>=2),0===(1&e)&&r++,r},i.prototype.bitLength=function(){var t=0,e=this.words[this.length-1],t=this._countBits(e);return 26*(this.length-1)+t},i.prototype.zeroBits=function(){if(0===this.cmpn(0))return 0;for(var t=0,e=0;et.length?this.clone().ior(t):t.clone().ior(this)},i.prototype.iand=function(t){this.sign=this.sign&&t.sign;var e;e=this.length>t.length?t:this;for(var r=0;rt.length?this.clone().iand(t):t.clone().iand(this)},i.prototype.ixor=function(t){this.sign=this.sign||t.sign;var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;nt.length?this.clone().ixor(t):t.clone().ixor(this)},i.prototype.setn=function(t,e){r("number"==typeof t&&t>=0);for(var n=t/26|0,i=t%26;this.length<=n;)this.words[this.length++]=0;return e?this.words[n]=this.words[n]|1<t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a>>26}for(;0!==i&&a>>26}if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;at.length?this.clone().iadd(t):t.clone().iadd(this)},i.prototype.isub=function(t){if(t.sign){t.sign=!1;var e=this.iadd(t);return t.sign=!0,e._normSign()}if(this.sign)return this.sign=!1,this.iadd(t),this.sign=!0,this._normSign();var r=this.cmp(t);if(0===r)return this.sign=!1,this.length=1,this.words[0]=0,this;var n,i;r>0?(n=this,i=t):(n=t,i=this);for(var a=0,o=0;o>26,this.words[o]=67108863&e}for(;0!==a&&o>26,this.words[o]=67108863&e}if(0===a&&o>>26,a=67108863&r,o=Math.min(n,t.length-1),s=Math.max(0,n-this.length+1);o>=s;s++){var l=n-s,c=0|this.words[l],u=0|t.words[s],f=c*u,h=67108863&f;i=i+(f/67108864|0)|0,h=h+a|0,a=67108863&h,i=i+(h>>>26)|0}e.words[n]=a,r=i}return 0!==r?e.words[n]=r:e.length--,e.strip()},i.prototype._bigMulTo=function(t,e){e.sign=t.sign!==this.sign,e.length=this.length+t.length;for(var r=0,n=0,i=0;i=l;l++){var c=i-l,u=0|this.words[c],f=0|t.words[l],h=u*f,d=67108863&h;a=a+(h/67108864|0)|0,d=d+o|0,o=67108863&d,a=a+(d>>>26)|0,n+=a>>>26,a&=67108863}e.words[i]=o,r=a,a=n}return 0!==r?e.words[i]=r:e.length--,e.strip()},i.prototype.mulTo=function(t,e){var r;return r=this.length+t.length<63?this._smallMulTo(t,e):this._bigMulTo(t,e)},i.prototype.mul=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},i.prototype.imul=function(t){if(0===this.cmpn(0)||0===t.cmpn(0))return this.words[0]=0,this.length=1,this;var e=this.length,r=t.length;this.sign=t.sign!==this.sign,this.length=this.length+t.length,this.words[this.length-1]=0;for(var n=this.length-2;n>=0;n--){for(var i=0,a=0,o=Math.min(n,r-1),s=Math.max(0,n-e+1);o>=s;s++){var l=n-s,c=this.words[l],u=t.words[s],f=c*u,h=67108863&f;i+=f/67108864|0,h+=a,a=67108863&h,i+=h>>>26}this.words[n]=a,this.words[n+1]+=i,i=0}for(var i=0,l=1;l>>26}return this.strip()},i.prototype.imuln=function(t){r("number"==typeof t);for(var e=0,n=0;n>=26,e+=i/67108864|0,e+=a>>>26,this.words[n]=67108863&a}return 0!==e&&(this.words[n]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.mul(this)},i.prototype.ishln=function(t){r("number"==typeof t&&t>=0);var e=t%26,n=(t-e)/26,i=67108863>>>26-e<<26-e;if(0!==e){for(var a=0,o=0;o>>26-e}a&&(this.words[o]=a,this.length++)}if(0!==n){for(var o=this.length-1;o>=0;o--)this.words[o+n]=this.words[o];for(var o=0;n>o;o++)this.words[o]=0;this.length+=n}return this.strip()},i.prototype.ishrn=function(t,e,n){r("number"==typeof t&&t>=0);var i;i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<c;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o){this.length-=o;for(var c=0;c=0&&(0!==u||c>=i);c--){var f=this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip(),this},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.testn=function(t){r("number"==typeof t&&t>=0);var e=t%26,n=(t-e)/26,i=1<=0);var e=t%26,n=(t-e)/26;if(r(!this.sign,"imaskn works only with positive numbers"),0!==e&&n++,this.length=Math.min(n,this.length),0!==e){var i=67108863^67108863>>>e<t?this.isubn(-t):this.sign?1===this.length&&this.words[0]=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(t){if(r("number"==typeof t),0>t)return this.iaddn(-t);if(this.sign)return this.sign=!1,this.iaddn(t),this.sign=!0,this;this.words[0]-=t;for(var e=0;e>26)-(c/67108864|0),this.words[i+n]=67108863&l}for(;i>26,this.words[i+n]=67108863&l}if(0===s)return this.strip();r(-1===s),s=0;for(var i=0;i>26,this.words[i]=67108863&l}return this.sign=!0,this.strip()},i.prototype._wordDiv=function(t,e){var r=this.length-t.length,n=this.clone(),a=t,o=a.words[a.length-1],s=this._countBits(o);r=26-s,0!==r&&(a=a.shln(r),n.ishln(r),o=a.words[a.length-1]);var l,c=n.length-a.length;if("mod"!==e){l=new i(null),l.length=c+1,l.words=new Array(l.length);for(var u=0;u=0;h--){var d=67108864*n.words[a.length+h]+n.words[a.length+h-1];for(d=Math.min(d/o|0,67108863),n._ishlnsubmul(a,d,h);n.sign;)d--,n.sign=!1,n._ishlnsubmul(a,1,h),0!==n.cmpn(0)&&(n.sign=!n.sign);l&&(l.words[h]=d)}return l&&l.strip(),n.strip(),"div"!==e&&0!==r&&n.ishrn(r),{div:l?l:null,mod:n}},i.prototype.divmod=function(t,e){if(r(0!==t.cmpn(0)),this.sign&&!t.sign){var n,a,o=this.neg().divmod(t,e);return"mod"!==e&&(n=o.div.neg()),"div"!==e&&(a=0===o.mod.cmpn(0)?o.mod:t.sub(o.mod)),{div:n,mod:a}}if(!this.sign&&t.sign){var n,o=this.divmod(t.neg(),e);return"mod"!==e&&(n=o.div.neg()),{div:n,mod:o.mod}}return this.sign&&t.sign?this.neg().divmod(t.neg(),e):t.length>this.length||this.cmp(t)<0?{div:new i(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e)},i.prototype.div=function(t){return this.divmod(t,"div").div},i.prototype.mod=function(t){return this.divmod(t,"mod").mod},i.prototype.divRound=function(t){var e=this.divmod(t);if(0===e.mod.cmpn(0))return e.div;var r=e.div.sign?e.mod.isub(t):e.mod,n=t.shrn(1),i=t.andln(1),a=r.cmp(n);return 0>a||1===i&&0===a?e.div:e.div.sign?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){r(67108863>=t);for(var e=(1<<26)%t,n=0,i=this.length-1;i>=0;i--)n=(e*n+this.words[i])%t;return n},i.prototype.idivn=function(t){r(67108863>=t);for(var e=0,n=this.length-1;n>=0;n--){var i=this.words[n]+67108864*e;this.words[n]=i/t|0,e=i%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.prototype.egcd=function(t){r(!t.sign),r(0!==t.cmpn(0));var e=this,n=t.clone();e=e.sign?e.mod(t):e.clone();for(var a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&n.isEven();)e.ishrn(1),n.ishrn(1),++c;for(var u=n.clone(),f=e.clone();0!==e.cmpn(0);){for(;e.isEven();)e.ishrn(1),a.isEven()&&o.isEven()?(a.ishrn(1),o.ishrn(1)):(a.iadd(u).ishrn(1),o.isub(f).ishrn(1));for(;n.isEven();)n.ishrn(1),s.isEven()&&l.isEven()?(s.ishrn(1),l.ishrn(1)):(s.iadd(u).ishrn(1),l.isub(f).ishrn(1));e.cmp(n)>=0?(e.isub(n),a.isub(s),o.isub(l)):(n.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:n.ishln(c)}},i.prototype._invmp=function(t){r(!t.sign),r(0!==t.cmpn(0));var e=this,n=t.clone();e=e.sign?e.mod(t):e.clone();for(var a=new i(1),o=new i(0),s=n.clone();e.cmpn(1)>0&&n.cmpn(1)>0;){for(;e.isEven();)e.ishrn(1),a.isEven()?a.ishrn(1):a.iadd(s).ishrn(1);for(;n.isEven();)n.ishrn(1),o.isEven()?o.ishrn(1):o.iadd(s).ishrn(1);e.cmp(n)>=0?(e.isub(n),a.isub(o)):(n.isub(e),o.isub(a))}return 0===e.cmpn(1)?a:o},i.prototype.gcd=function(t){if(0===this.cmpn(0))return t.clone();if(0===t.cmpn(0))return this.clone();var e=this.clone(),r=t.clone();e.sign=!1,r.sign=!1;for(var n=0;e.isEven()&&r.isEven();n++)e.ishrn(1),r.ishrn(1);for(;;){for(;e.isEven();)e.ishrn(1);for(;r.isEven();)r.ishrn(1);var i=e.cmp(r);if(0>i){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.ishln(n)},i.prototype.invm=function(t){return this.egcd(t).a.mod(t)},i.prototype.isEven=function(){return 0===(1&this.words[0])},i.prototype.isOdd=function(){return 1===(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){r("number"==typeof t);var e=t%26,n=(t-e)/26,i=1<a;a++)this.words[a]=0;return this.words[n]|=i,this.length=n+1,this}for(var o=i,a=n;0!==o&&a>>26,s&=67108863,this.words[a]=s}return 0!==o&&(this.words[a]=o,this.length++),this},i.prototype.cmpn=function(t){var e=0>t;if(e&&(t=-t),this.sign&&!e)return-1;if(!this.sign&&e)return 1;t&=67108863,this.strip();var r;if(this.length>1)r=1;else{var n=this.words[0];r=n===t?0:t>n?-1:1}return this.sign&&(r=-r),r},i.prototype.cmp=function(t){if(this.sign&&!t.sign)return-1;if(!this.sign&&t.sign)return 1;var e=this.ucmp(t);return this.sign?-e:e},i.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length=0;r--){var n=this.words[r],i=t.words[r];if(n!==i){i>n?e=-1:n>i&&(e=1);break}}return e},i.red=function(t){return new h(t)},i.prototype.toRed=function(t){return r(!this.red,"Already a number in reduction context"),r(!this.sign,"red works only with positives"),t.convertTo(this)._forceRed(t)},i.prototype.fromRed=function(){return r(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},i.prototype._forceRed=function(t){return this.red=t,this},i.prototype.forceRed=function(t){return r(!this.red,"Already a number in reduction context"),this._forceRed(t)},i.prototype.redAdd=function(t){return r(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},i.prototype.redIAdd=function(t){return r(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},i.prototype.redSub=function(t){return r(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},i.prototype.redISub=function(t){return r(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},i.prototype.redShl=function(t){return r(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},i.prototype.redMul=function(t){return r(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},i.prototype.redIMul=function(t){return r(this.red,"redMul works only with red 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L=0,S=0,k=0;E>k;++k){var C=0|_[2*k+1];if(C>=d)C=C-d|0,i(m,y,S--,C);else if(C>=0)i(g,v,L--,C);else if(-d>=C){C=-C-d|0;for(var z=0;L>z;++z){var P=e(g[z],C);if(void 0!==P)return P}a(m,y,S++,C); +i.prototype.toString=function(t,e){if(t=t||10,16===t||"hex"===t){for(var n="",i=0,e=0|e||1,a=0,o=0;o>>24-i&16777215,n=0!==a||o!==this.length-1?p[6-l.length]+l+n:l+n,i+=2,i>=26&&(i-=26,o--)}for(0!==a&&(n=a.toString(16)+n);n.length%e!==0;)n="0"+n;return this.sign&&(n="-"+n),n}if(t===(0|t)&&t>=2&&36>=t){var c=g[t],u=v[t],n="",f=this.clone();for(f.sign=!1;0!==f.cmpn(0);){var h=f.modn(u).toString(t);f=f.idivn(u),n=0!==f.cmpn(0)?p[c-h.length]+h+n:h+n}return 0===this.cmpn(0)&&(n="0"+n),this.sign&&(n="-"+n),n}r(!1,"Base should be between 2 and 36")},i.prototype.toJSON=function(){return this.toString(16)},i.prototype.toArray=function(t){this.strip();var e=new Array(this.byteLength());e[0]=0;var r=this.clone();if("le"!==t)for(var n=0;0!==r.cmpn(0);n++){var i=r.andln(255);r.ishrn(8),e[e.length-n-1]=i}else 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l=n-s,c=0|this.words[l],u=0|t.words[s],f=c*u,h=67108863&f;i=i+(f/67108864|0)|0,h=h+a|0,a=67108863&h,i=i+(h>>>26)|0}e.words[n]=a,r=i}return 0!==r?e.words[n]=r:e.length--,e.strip()},i.prototype._bigMulTo=function(t,e){e.sign=t.sign!==this.sign,e.length=this.length+t.length;for(var r=0,n=0,i=0;i=l;l++){var c=i-l,u=0|this.words[c],f=0|t.words[l],h=u*f,d=67108863&h;a=a+(h/67108864|0)|0,d=d+o|0,o=67108863&d,a=a+(d>>>26)|0,n+=a>>>26,a&=67108863}e.words[i]=o,r=a,a=n}return 0!==r?e.words[i]=r:e.length--,e.strip()},i.prototype.mulTo=function(t,e){var r;return r=this.length+t.length<63?this._smallMulTo(t,e):this._bigMulTo(t,e)},i.prototype.mul=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},i.prototype.imul=function(t){if(0===this.cmpn(0)||0===t.cmpn(0))return this.words[0]=0,this.length=1,this;var e=this.length,r=t.length;this.sign=t.sign!==this.sign,this.length=this.length+t.length,this.words[this.length-1]=0;for(var n=this.length-2;n>=0;n--){for(var i=0,a=0,o=Math.min(n,r-1),s=Math.max(0,n-e+1);o>=s;s++){var l=n-s,c=this.words[l],u=t.words[s],f=c*u,h=67108863&f;i+=f/67108864|0,h+=a,a=67108863&h,i+=h>>>26}this.words[n]=a,this.words[n+1]+=i,i=0}for(var i=0,l=1;l>>26}return this.strip()},i.prototype.imuln=function(t){r("number"==typeof t);for(var e=0,n=0;n>=26,e+=i/67108864|0,e+=a>>>26,this.words[n]=67108863&a}return 0!==e&&(this.words[n]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.mul(this)},i.prototype.ishln=function(t){r("number"==typeof t&&t>=0);var e=t%26,n=(t-e)/26,i=67108863>>>26-e<<26-e;if(0!==e){for(var a=0,o=0;o>>26-e}a&&(this.words[o]=a,this.length++)}if(0!==n){for(var o=this.length-1;o>=0;o--)this.words[o+n]=this.words[o];for(var o=0;n>o;o++)this.words[o]=0;this.length+=n}return this.strip()},i.prototype.ishrn=function(t,e,n){r("number"==typeof t&&t>=0);var i;i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<c;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o){this.length-=o;for(var c=0;c=0&&(0!==u||c>=i);c--){var f=this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip(),this},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.testn=function(t){r("number"==typeof t&&t>=0);var e=t%26,n=(t-e)/26,i=1<=0);var e=t%26,n=(t-e)/26;if(r(!this.sign,"imaskn works only with positive numbers"),0!==e&&n++,this.length=Math.min(n,this.length),0!==e){var i=67108863^67108863>>>e<t?this.isubn(-t):this.sign?1===this.length&&this.words[0]=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(t){if(r("number"==typeof 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n,a,o=this.neg().divmod(t,e);return"mod"!==e&&(n=o.div.neg()),"div"!==e&&(a=0===o.mod.cmpn(0)?o.mod:t.sub(o.mod)),{div:n,mod:a}}if(!this.sign&&t.sign){var n,o=this.divmod(t.neg(),e);return"mod"!==e&&(n=o.div.neg()),{div:n,mod:o.mod}}return this.sign&&t.sign?this.neg().divmod(t.neg(),e):t.length>this.length||this.cmp(t)<0?{div:new i(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e)},i.prototype.div=function(t){return this.divmod(t,"div").div},i.prototype.mod=function(t){return this.divmod(t,"mod").mod},i.prototype.divRound=function(t){var e=this.divmod(t);if(0===e.mod.cmpn(0))return e.div;var r=e.div.sign?e.mod.isub(t):e.mod,n=t.shrn(1),i=t.andln(1),a=r.cmp(n);return 0>a||1===i&&0===a?e.div:e.div.sign?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){r(67108863>=t);for(var e=(1<<26)%t,n=0,i=this.length-1;i>=0;i--)n=(e*n+this.words[i])%t;return n},i.prototype.idivn=function(t){r(67108863>=t);for(var e=0,n=this.length-1;n>=0;n--){var i=this.words[n]+67108864*e;this.words[n]=i/t|0,e=i%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.prototype.egcd=function(t){r(!t.sign),r(0!==t.cmpn(0));var e=this,n=t.clone();e=e.sign?e.mod(t):e.clone();for(var a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&n.isEven();)e.ishrn(1),n.ishrn(1),++c;for(var u=n.clone(),f=e.clone();0!==e.cmpn(0);){for(;e.isEven();)e.ishrn(1),a.isEven()&&o.isEven()?(a.ishrn(1),o.ishrn(1)):(a.iadd(u).ishrn(1),o.isub(f).ishrn(1));for(;n.isEven();)n.ishrn(1),s.isEven()&&l.isEven()?(s.ishrn(1),l.ishrn(1)):(s.iadd(u).ishrn(1),l.isub(f).ishrn(1));e.cmp(n)>=0?(e.isub(n),a.isub(s),o.isub(l)):(n.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:n.ishln(c)}},i.prototype._invmp=function(t){r(!t.sign),r(0!==t.cmpn(0));var e=this,n=t.clone();e=e.sign?e.mod(t):e.clone();for(var a=new i(1),o=new i(0),s=n.clone();e.cmpn(1)>0&&n.cmpn(1)>0;){for(;e.isEven();)e.ishrn(1),a.isEven()?a.ishrn(1):a.iadd(s).ishrn(1);for(;n.isEven();)n.ishrn(1),o.isEven()?o.ishrn(1):o.iadd(s).ishrn(1);e.cmp(n)>=0?(e.isub(n),a.isub(o)):(n.isub(e),o.isub(a))}return 0===e.cmpn(1)?a:o},i.prototype.gcd=function(t){if(0===this.cmpn(0))return t.clone();if(0===t.cmpn(0))return this.clone();var e=this.clone(),r=t.clone();e.sign=!1,r.sign=!1;for(var n=0;e.isEven()&&r.isEven();n++)e.ishrn(1),r.ishrn(1);for(;;){for(;e.isEven();)e.ishrn(1);for(;r.isEven();)r.ishrn(1);var i=e.cmp(r);if(0>i){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.ishln(n)},i.prototype.invm=function(t){return this.egcd(t).a.mod(t)},i.prototype.isEven=function(){return 0===(1&this.words[0])},i.prototype.isOdd=function(){return 1===(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){r("number"==typeof t);var e=t%26,n=(t-e)/26,i=1<a;a++)this.words[a]=0;return this.words[n]|=i,this.length=n+1,this}for(var o=i,a=n;0!==o&&a>>26,s&=67108863,this.words[a]=s}return 0!==o&&(this.words[a]=o,this.length++),this},i.prototype.cmpn=function(t){var e=0>t;if(e&&(t=-t),this.sign&&!e)return-1;if(!this.sign&&e)return 1;t&=67108863,this.strip();var r;if(this.length>1)r=1;else{var n=this.words[0];r=n===t?0:t>n?-1:1}return this.sign&&(r=-r),r},i.prototype.cmp=function(t){if(this.sign&&!t.sign)return-1;if(!this.sign&&t.sign)return 1;var e=this.ucmp(t);return this.sign?-e:e},i.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length=0;r--){var n=this.words[r],i=t.words[r];if(n!==i){i>n?e=-1:n>i&&(e=1);break}}return e},i.red=function(t){return new h(t)},i.prototype.toRed=function(t){return r(!this.red,"Already a number in reduction context"),r(!this.sign,"red works only with positives"),t.convertTo(this)._forceRed(t)},i.prototype.fromRed=function(){return r(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},i.prototype._forceRed=function(t){return this.red=t,this},i.prototype.forceRed=function(t){return r(!this.red,"Already a number in reduction context"),this._forceRed(t)},i.prototype.redAdd=function(t){return r(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},i.prototype.redIAdd=function(t){return r(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},i.prototype.redSub=function(t){return r(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},i.prototype.redISub=function(t){return r(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},i.prototype.redShl=function(t){return r(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},i.prototype.redMul=function(t){return r(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},i.prototype.redIMul=function(t){return r(this.red,"redMul works only with red 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f=n(s,"width"),h=n(s,"height"),g=+u.attr("x")-f*{start:0,middle:.5,end:1}[u.attr("text-anchor")||"start"],v=parseInt(u.style("font-size"),10)||n(u,"height"),m=-v/4;"y"===p[0]?(l.attr({transform:"rotate("+[-90,+u.attr("x"),+u.attr("y")]+") translate("+[-f/2,m-h/2]+")"}),s.attr({x:+u.attr("x"),y:+u.attr("y")})):"l"===p[0]?s.attr({x:u.attr("x"),y:m-h/2}):"a"===p[0]?s.attr({x:0,y:m}):s.attr({x:g,y:+u.attr("y")+m-h/2}),e&&e.call(u,l),t(l)})}))}else r();return t}};var h={sup:'font-size:70%" dy="-0.6em',sub:'font-size:70%" dy="0.3em',b:"font-weight:bold",i:"font-style:italic",a:"",span:"",br:"",em:"font-style:italic;font-weight:bold"},d=["http:","https:","mailto:"],p=new RegExp("]*)?/?>","g");f.plainText=function(t){return(t||"").replace(p," ")},f.makeEditable=function(t,e,r){function n(){a(),o.style({opacity:0});var t,e=h.attr("class");t=e?"."+e.split(" ")[0]+"-math-group":"[class*=-math-group]",t&&c.select(o.node().parentNode).select(t).style({opacity:0})}function i(t){var e=t.node(),r=document.createRange();r.selectNodeContents(e);var n=window.getSelection();n.removeAllRanges(),n.addRange(r),e.focus()}function a(){var t=c.select(l.Lib.getPlotDiv(o.node())),e=t.select(".svg-container"),n=e.append("div");n.classed("plugin-editable editable",!0).style({position:"absolute","font-family":o.style("font-family")||"Arial","font-size":o.style("font-size")||12,color:r.fill||o.style("fill")||"black",opacity:1,"background-color":r.background||"transparent",outline:"#ffffff33 1px solid",margin:[-parseFloat(o.style("font-size"))/8+1,0,0,-1].join("px ")+"px",padding:"0","box-sizing":"border-box"}).attr({contenteditable:!0}).text(r.text||o.attr("data-unformatted")).call(s(o,e,r)).on("blur",function(){o.text(this.textContent).style({opacity:1});var t,e=c.select(this).attr("class");t=e?"."+e.split(" ")[0]+"-math-group":"[class*=-math-group]",t&&c.select(o.node().parentNode).select(t).style({opacity:0});var r=this.textContent;c.select(this).transition().duration(0).remove(),c.select(document).on("mouseup",null),u.edit.call(o,r)}).on("focus",function(){var t=this;c.select(document).on("mouseup",function(){return c.event.target===t?!1:void(document.activeElement===n.node()&&n.node().blur())})}).on("keyup",function(){27===c.event.which?(o.style({opacity:1}),c.select(this).style({opacity:0}).on("blur",function(){return!1}).transition().remove(),u.cancel.call(o,this.textContent)):(u.input.call(o,this.textContent),c.select(this).call(s(o,e,r)))}).on("keydown",function(){13===c.event.which&&this.blur()}).call(i)}r||(r={});var o=this,u=c.dispatch("edit","input","cancel"),f=c.select(this.node()).style({"pointer-events":"all"}),h=e||f;return e&&f.style({"pointer-events":"none"}),r.immediate?n():h.on("click",n),c.rebind(this,u,"on")}},{"../constants/xmlns_namespaces":366,"../plotly":396,d3:72}],391:[function(t,e,r){"use strict";var n=e.exports={},i=t("../constants/geo_constants").locationmodeToLayer,a=t("topojson").feature;n.getTopojsonName=function(t){return[t.scope.replace(/ /g,"-"),"_",t.resolution.toString(),"m"].join("")},n.getTopojsonPath=function(t,e){return t+e+".json"},n.getTopojsonFeatures=function(t,e){var r=i[t.locationmode],n=e.objects[r];return a(e,n).features}},{"../constants/geo_constants":362,topojson:234}],392:[function(t,e,r){"use strict";function n(t){var e;if("string"==typeof t){if(e=document.getElementById(t),null===e)throw new Error("No DOM element with id '"+t+"' exists on the page.");return e}if(null===t||void 0===t)throw new Error("DOM element provided is null or undefined");return t}function i(t,e){t._fullLayout._paperdiv.style("background","white"),P.defaultConfig.setBackground(t,e)}function a(t,e){t._context||(t._context=R.extendFlat({},P.defaultConfig));var r=t._context;e&&(Object.keys(e).forEach(function(t){t in r&&("setBackground"===t&&"opaque"===e[t]?r[t]=i:r[t]=e[t])}),e.plot3dPixelRatio&&!r.plotGlPixelRatio&&(r.plotGlPixelRatio=r.plot3dPixelRatio)),r.staticPlot&&(r.editable=!1,r.autosizable=!1,r.scrollZoom=!1,r.doubleClick=!1,r.showTips=!1,r.showLink=!1,r.displayModeBar=!1)}function o(t,e,r){var n=S.select(t).selectAll(".plot-container").data([0]);n.enter().insert("div",":first-child").classed("plot-container plotly",!0);var i=n.selectAll(".svg-container").data([0]);i.enter().append("div").classed("svg-container",!0).style("position","relative"),i.html(""),e&&(t.data=e),r&&(t.layout=r),P.micropolar.manager.fillLayout(t),"initial"===t._fullLayout.autosize&&t._context.autosizable&&(w(t,{}),t._fullLayout.autosize=r.autosize=!0),i.style({width:t._fullLayout.width+"px",height:t._fullLayout.height+"px"}),t.framework=P.micropolar.manager.framework(t),t.framework({data:t.data,layout:t.layout},i.node()),t.framework.setUndoPoint();var a=t.framework.svg(),o=1,s=t._fullLayout.title;""!==s&&s||(o=0);var l="Click to enter title",c=function(){this.call(P.util.convertToTspans)},u=a.select(".title-group text").call(c);if(t._context.editable){u.attr({"data-unformatted":s}),s&&s!==l||(o=.2,u.attr({"data-unformatted":l}).text(l).style({opacity:o}).on("mouseover.opacity",function(){S.select(this).transition().duration(100).style("opacity",1)}).on("mouseout.opacity",function(){S.select(this).transition().duration(1e3).style("opacity",0)}));var f=function(){this.call(P.util.makeEditable).on("edit",function(e){t.framework({layout:{title:e}}),this.attr({"data-unformatted":e}).text(e).call(c),this.call(f)}).on("cancel",function(){var t=this.attr("data-unformatted");this.text(t).call(c)})};u.call(f)}return t._context.setBackground(t,t._fullLayout.paper_bgcolor),N.addLinks(t),Promise.resolve()}function s(t){var e,r;t||(t={}),t.xaxis1&&(t.xaxis||(t.xaxis=t.xaxis1),delete t.xaxis1),t.yaxis1&&(t.yaxis||(t.yaxis=t.yaxis1),delete t.yaxis1);var n=P.Axes.list({_fullLayout:t});for(e=0;ee;e++){var o=t.annotations[e];o.ref&&("paper"===o.ref?(o.xref="paper",o.yref="paper"):"data"===o.ref&&(o.xref="x",o.yref="y"),delete o.ref),l(o,"xref"),l(o,"yref")}void 0===t.shapes||Array.isArray(t.shapes)||(console.log("shapes must be an array"),delete t.shapes);var s=(t.shapes||[]).length;for(e=0;s>e;e++){var c=t.shapes[e];l(c,"xref"),l(c,"yref")}var u=t.legend;u&&(u.x>3?(u.x=1.02,u.xanchor="left"):u.x<-2&&(u.x=-.02,u.xanchor="right"),u.y>3?(u.y=1.02,u.yanchor="bottom"):u.y<-2&&(u.y=-.02,u.yanchor="top")),"rotate"===t.dragmode&&(t.dragmode="orbit"),t.scene1&&(t.scene||(t.scene=t.scene1),delete t.scene1);var h=N.getSubplotIds(t,"gl3d");for(e=0;er;++r)b[r]=v[e]+m*y[2+4*r];d.camera={eye:{x:b[0],y:b[1],z:b[2]},center:{x:v[0],y:v[1],z:v[2]},up:{x:y[1],y:y[5],z:y[9]}},delete d.cameraposition}}return R.markTime("finished rest of cleanLayout, starting color"),F.clean(t),R.markTime("finished cleanLayout color.clean"),t}function l(t,e){var 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e=S.select(t),r=t._fullLayout;if(r._hasGL3D&&N.subplotsRegistry.gl3d.initAxes(t),r._container=e.selectAll(".plot-container").data([0]),r._container.enter().insert("div",":first-child").classed("plot-container",!0).classed("plotly",!0),r._paperdiv=r._container.selectAll(".svg-container").data([0]),r._paperdiv.enter().append("div").classed("svg-container",!0).style("position","relative"),"initial"===r.autosize&&(w(t,{}),r.autosize=!0,t.layout.autosize=!0),r._glcontainer=r._paperdiv.selectAll(".gl-container").data([0]),r._glcontainer.enter().append("div").classed("gl-container",!0),r._geocontainer=r._paperdiv.selectAll(".geo-container").data([0]),r._geocontainer.enter().append("div").classed("geo-container",!0),r._paperdiv.selectAll(".main-svg").remove(),r._paper=r._paperdiv.insert("svg",":first-child").classed("main-svg",!0),r._toppaper=r._paperdiv.append("svg").classed("main-svg",!0),!r._uid){var 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e=this.scene,r=a.Plots.getSubplotIds(e.fullLayout,"gl2d"),n=a.Axes.findSubplotsWithAxis(r,t);return 0!==n.indexOf(e.id)},l.hasAxisInDfltPos=function(t,e){var r=e.side;return"xaxis"===t?"bottom"===r:"yaxis"===t?"left"===r:void 0},l.hasAxisInAltrPos=function(t,e){var r=e.side;return"xaxis"===t?"top"===r:"yaxis"===t?"right"===r:void 0},l.getLabelPad=function(t,e){var r=1.5,n=e.titlefont.size,i=e.showticklabels;return"xaxis"===t?"top"===e.side?-10+n*(r+(i?1:0)):-10+n*(r+(i?.5:0)):"yaxis"===t?"right"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},l.getTickPad=function(t){return"outside"===t.ticks?10+t.ticklen:15},l.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return"inside"===t.ticks?-e:e},e.exports=i},{"../../lib/html2unicode":377,"../../lib/str2rgbarray":389,"../../plotly":396}],431:[function(t,e,r){"use strict";var n=t("../../plotly"),i=t("./scene2d"),a=n.Plots;r.name="gl2d",r.attr=["xaxis","yaxis"],r.idRoot=["x","y"],r.idRegex={x:/^x([2-9]|[1-9][0-9]+)?$/,y:/^y([2-9]|[1-9][0-9]+)?$/},r.attrRegex={x:/^xaxis([2-9]|[1-9][0-9]+)?$/,y:/^yaxis([2-9]|[1-9][0-9]+)?$/},r.attributes=t("../cartesian/attributes"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=a.getSubplotIds(e,"gl2d"),o=0;or;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;ao;++o,--s)for(var l=0;r>l;++l)for(var c=0;4>c;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var f=document.createElement("canvas");f.width=r,f.height=n;var h=f.getContext("2d"),d=h.createImageData(r,n);d.data.set(i),h.putImageData(d,0,0);var p;switch(t){case"jpeg":p=f.toDataURL("image/jpeg");break;case"webp":p=f.toDataURL("image/webp");break;default:p=f.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(a),p},m.computeTickMarks=function(){this.xaxis._length=this.glplot.viewBox[2]-this.glplot.viewBox[0],this.yaxis._length=this.glplot.viewBox[3]-this.glplot.viewBox[1];for(var t=[s.calcTicks(this.xaxis),s.calcTicks(this.yaxis)],e=0;2>e;++e)for(var r=0;rk;++k)w[k]=Math.min(w[k],a.bounds[k]),w[k+2]=Math.max(w[k+2],a.bounds[k+2])}var A;for(n=0;2>n;++n)w[n]>w[n+2]&&(w[n]=-1,w[n+2]=1),A=this[v[n]],A._length=y.viewBox[n+2]-y.viewBox[n],s.doAutoRange(A);y.ticks=this.computeTickMarks();var M=this.xaxis.range,T=this.yaxis.range;y.dataBox=[M[0],T[0],M[1],T[1]],y.merge(r),o.update(y),this.glplot.draw()},m.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=this.fullLayout;this.cameraChanged();var i=r.x*t.pixelRatio,a=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===n.dragmode)this.selectBox.enabled=!0,this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],t.setDirty();else{this.selectBox.enabled=!1;var o=n._size,s=this.xaxis.domain,c=this.yaxis.domain,u=t.pick(i/t.pixelRatio+o.l+s[0]*o.w,a/t.pixelRatio-(o.t+(1-c[1])*o.h));if(u&&n.hovermode){var f=u.object._trace.handlePick(u);if(f&&(!this.lastPickResult||this.lastPickResult.trace!==f.trace||this.lastPickResult.dataCoord[0]!==f.dataCoord[0]||this.lastPickResult.dataCoord[1]!==f.dataCoord[1])){var h=this.lastPickResult=f;this.spikes.update({center:u.dataCoord}),h.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(u.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(u.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio];var d=h.hoverinfo;if("all"!==d){var p=d.split("+");-1===p.indexOf("x")&&(h.traceCoord[0]=void 0),-1===p.indexOf("y")&&(h.traceCoord[1]=void 0),-1===p.indexOf("z")&&(h.traceCoord[2]=void 0),-1===p.indexOf("text")&&(h.textLabel=void 0),-1===p.indexOf("name")&&(h.name=void 0)}l.loneHover({x:h.screenCoord[0],y:h.screenCoord[1],xLabel:this.hoverFormatter("xaxis",h.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",h.traceCoord[1]),zLabel:h.traceCoord[2],text:h.textLabel,name:h.name,color:h.color},{container:this.svgContainer}),this.lastPickResult={dataCoord:u.dataCoord}}}else!u&&this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,l.loneUnhover(this.svgContainer))}t.draw()}},m.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return s.tickText(r,r.c2l(e),"hover").text}}},{"../../lib/html2unicode":377,"../../lib/show_no_webgl_msg":387,"../../plots/cartesian/axes":399,"../../plots/cartesian/graph_interact":406,"./camera":429,"./convert":430,"gl-plot2d":124,"gl-select-box":154,"gl-spikes2d":174}],433:[function(t,e,r){"use strict";function n(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];"distanceLimits"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),"zoomMin"in e&&(r[0]=e.zoomMin),"zoomMax"in e&&(r[1]=e.zoomMax);var n=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),l=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],c=0,u=t.clientWidth,f=t.clientHeight,h={keyBindingMode:"rotate",view:n,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:n.modes,tick:function(){var e=i(),r=this.delay,a=e-2*r;n.idle(e-r),n.recalcMatrix(a),n.flush(e-(100+2*r));for(var o=!0,s=n.computedMatrix,h=0;16>h;++h)o=o&&l[h]===s[h],l[h]=s[h];var d=t.clientWidth===u&&t.clientHeight===f;return u=t.clientWidth,f=t.clientHeight,o?!d:(c=Math.exp(n.computedRadius[0]),!0)},lookAt:function(t,e,r){n.lookAt(n.lastT(),t,e,r)},rotate:function(t,e,r){n.rotate(n.lastT(),t,e,r)},pan:function(t,e,r){n.pan(n.lastT(),t,e,r)},translate:function(t,e,r){n.translate(n.lastT(),t,e,r)}};Object.defineProperties(h,{matrix:{get:function(){return n.computedMatrix},set:function(t){return n.setMatrix(n.lastT(),t),n.computedMatrix},enumerable:!0},mode:{get:function(){return n.getMode()},set:function(t){var e=n.computedUp.slice(),r=n.computedEye.slice(),a=n.computedCenter.slice();if(n.setMode(t),"turntable"===t){var o=i();n._active.lookAt(o,r,a,e),n._active.lookAt(o+500,r,a,[0,0,1]),n._active.flush(o)}return n.getMode()},enumerable:!0},center:{get:function(){return n.computedCenter},set:function(t){return n.lookAt(n.lastT(),null,t),n.computedCenter},enumerable:!0},eye:{get:function(){return n.computedEye},set:function(t){return n.lookAt(n.lastT(),t),n.computedEye},enumerable:!0},up:{get:function(){return n.computedUp},set:function(t){return n.lookAt(n.lastT(),null,null,t),n.computedUp},enumerable:!0},distance:{get:function(){return c},set:function(t){return n.setDistance(n.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return n.getDistanceLimits(r)},set:function(t){return n.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener("contextmenu",function(t){return t.preventDefault(),!1});var d=0,p=0;return o(t,function(e,r,a,o){var s="rotate"===h.keyBindingMode,l="pan"===h.keyBindingMode,u="zoom"===h.keyBindingMode,f=!!o.control,g=!!o.alt,v=!!o.shift,m=!!(1&e),y=!!(2&e),b=!!(4&e),x=1/t.clientHeight,_=x*(r-d),w=x*(a-p),k=h.flipX?1:-1,A=h.flipY?1:-1,M=i(),T=Math.PI*h.rotateSpeed;if((s&&m&&!f&&!g&&!v||m&&!f&&!g&&v)&&n.rotate(M,k*T*_,-A*T*w,0),(l&&m&&!f&&!g&&!v||y||m&&f&&!g&&!v)&&n.pan(M,-h.translateSpeed*_*c,h.translateSpeed*w*c,0),u&&m&&!f&&!g&&!v||b||m&&!f&&g&&!v){var E=-h.zoomSpeed*w/window.innerHeight*(M-n.lastT())*100;n.pan(M,0,0,c*(Math.exp(E)-1))}return d=r,p=a,!0}),s(t,function(t,e){var r=h.flipX?1:-1,a=h.flipY?1:-1,o=i();if(Math.abs(t)>Math.abs(e))n.rotate(o,0,0,-t*r*Math.PI*h.rotateSpeed/window.innerWidth);else{var s=-h.zoomSpeed*a*e/window.innerHeight*(o-n.lastT())/100;n.pan(o,0,0,c*(Math.exp(s)-1))}},!0),h}e.exports=n;var i=t("right-now"),a=t("3d-view"),o=t("mouse-change"),s=t("mouse-wheel")},{"3d-view":39,"mouse-change":200,"mouse-wheel":204,"right-now":214}],434:[function(t,e,r){"use strict";var n=t("./scene"),i=t("../plots"),a=["xaxis","yaxis","zaxis"];r.name="gl3d",r.attr="scene",r.idRoot="scene",r.idRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attrRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attributes=t("./layout/attributes"),r.layoutAttributes=t("./layout/layout_attributes"),r.supplyLayoutDefaults=t("./layout/defaults"),r.plot=function(t){var e=t._fullLayout,r=t._fullData,a=i.getSubplotIds(e,"gl3d");e._paperdiv.style({width:e.width+"px",height:e.height+"px"}),t._context.setBackground(t,e.paper_bgcolor);for(var o=0;ol;++l){var c=a[l],u=s[c];u._gd=t}}},{"../plots":447,"./layout/attributes":435,"./layout/defaults":439,"./layout/layout_attributes":440,"./scene":444,"./set_convert":445}],435:[function(t,e,r){"use strict";e.exports={scene:{valType:"subplotid",dflt:"scene"}}},{}],436:[function(t,e,r){"use strict";var n=t("../../../components/color"),i=t("../../cartesian/layout_attributes"),a=t("../../../lib/extend").extendFlat;e.exports={showspikes:{valType:"boolean",dflt:!0},spikesides:{valType:"boolean",dflt:!0},spikethickness:{valType:"number",min:0,dflt:2},spikecolor:{valType:"color",dflt:n.defaultLine},showbackground:{valType:"boolean",dflt:!1},backgroundcolor:{valType:"color",dflt:"rgba(204, 204, 204, 0.5)"},showaxeslabels:{valType:"boolean",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:i.title,titlefont:i.titlefont,type:i.type,autorange:i.autorange,rangemode:i.rangemode,range:i.range,fixedrange:i.fixedrange,tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,tickformat:i.tickformat,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:"rgb(204, 204, 204)"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth}},{"../../../components/color":303,"../../../lib/extend":373,"../../cartesian/layout_attributes":408}],437:[function(t,e,r){"use strict";var n=t("tinycolor2").mix,i=t("../../../lib"),a=t("./axis_attributes"),o=t("../../cartesian/axis_defaults"),s=["xaxis","yaxis","zaxis"],l=function(){},c=13600/187;e.exports=function(t,e,r){function u(t,e){return i.coerce(f,h,a,t,e)}for(var f,h,d=0;dr;++r){var n=t[c[r]];e.labels[r]=o(n.title),"titlefont"in n&&(n.titlefont.color&&(e.labelColor[r]=s(n.titlefont.color)),n.titlefont.family&&(e.labelFont[r]=n.titlefont.family),n.titlefont.size&&(e.labelSize[r]=n.titlefont.size)),"showline"in n&&(e.lineEnable[r]=n.showline),"linecolor"in n&&(e.lineColor[r]=s(n.linecolor)),"linewidth"in n&&(e.lineWidth[r]=n.linewidth),"showgrid"in n&&(e.gridEnable[r]=n.showgrid),"gridcolor"in n&&(e.gridColor[r]=s(n.gridcolor)),"gridwidth"in n&&(e.gridWidth[r]=n.gridwidth),"log"===n.type?e.zeroEnable[r]=!1:"zeroline"in n&&(e.zeroEnable[r]=n.zeroline),"zerolinecolor"in n&&(e.zeroLineColor[r]=s(n.zerolinecolor)),"zerolinewidth"in n&&(e.zeroLineWidth[r]=n.zerolinewidth),"ticks"in n&&n.ticks?e.lineTickEnable[r]=!0:e.lineTickEnable[r]=!1,"ticklen"in n&&(e.lineTickLength[r]=e._defaultLineTickLength[r]=n.ticklen),"tickcolor"in n&&(e.lineTickColor[r]=s(n.tickcolor)),"tickwidth"in n&&(e.lineTickWidth[r]=n.tickwidth),"tickangle"in n&&(e.tickAngle[r]="auto"===n.tickangle?0:Math.PI*-n.tickangle/180),"showticklabels"in n&&(e.tickEnable[r]=n.showticklabels),"tickfont"in n&&(n.tickfont.color&&(e.tickColor[r]=s(n.tickfont.color)),n.tickfont.family&&(e.tickFont[r]=n.tickfont.family),n.tickfont.size&&(e.tickSize[r]=n.tickfont.size)),"mirror"in n?-1!==["ticks","all","allticks"].indexOf(n.mirror)?(e.lineTickMirror[r]=!0,e.lineMirror[r]=!0):n.mirror===!0?(e.lineTickMirror[r]=!1,e.lineMirror[r]=!0):(e.lineTickMirror[r]=!1,e.lineMirror[r]=!1):e.lineMirror[r]=!1,"showbackground"in n&&n.showbackground!==!1?(e.backgroundEnable[r]=!0,e.backgroundColor[r]=s(n.backgroundcolor)):e.backgroundEnable[r]=!1}},e.exports=i},{"../../../lib/html2unicode":377,"../../../lib/str2rgbarray":389,arraytools:49}],439:[function(t,e,r){"use strict";function n(t,e,r,n){for(var a=r("bgcolor"),l=i.combine(a,n.paper_bgcolor),c=Object.keys(o.camera),u=0;ue;++e){var r=t[o[e]];this.enabled[e]=r.showspikes,this.colors[e]=a(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness}},e.exports=i},{"../../../lib/str2rgbarray":389}],442:[function(t,e,r){"use strict";function n(t){for(var e=new Array(3),r=0;3>r;++r){for(var n=t[r],i=new Array(n.length),a=0;au;++u){var f=i[s[u]];if(f._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(f._length)===1/0)c[u]=[];else{f.range[0]=r[u].lo/t.dataScale[u],f.range[1]=r[u].hi/t.dataScale[u],f._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),f.range[0]===f.range[1]&&(f.range[0]-=1,f.range[1]+=1);var h=f.tickmode;if("auto"===f.tickmode){f.tickmode="linear";var d=f.nticks||a.Lib.constrain(f._length/40,4,9);a.Axes.autoTicks(f,Math.abs(f.range[1]-f.range[0])/d)}for(var p=a.Axes.calcTicks(f),g=0;gu;++u){l[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]);for(var g=0;2>g;++g)e.bounds[g][u]=t.glplot.bounds[g][u]}t.contourLevels=n(c)}e.exports=i;var a=t("../../../plotly"),o=t("../../../lib/html2unicode"),s=["xaxis","yaxis","zaxis"],l=[0,0,0]},{"../../../lib/html2unicode":377,"../../../plotly":396}],443:[function(t,e,r){"use strict";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;4>r;++r)for(n=0;4>n;++n)i[n]+=t[4*r+n]*e[r];return i}function i(t,e){var 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n=j.getBoundingClientRect();x=e-n.left,w=r-n.top,L={a:N.aaxis.range[0],b:N.baxis.range[1],c:N.caxis.range[1]},C=L,S=N.aaxis.range[1]-L.a,z=o(N.graphDiv._fullLayout[N.id].bgcolor).getLuminance(),P="M0,"+N.h+"L"+N.w/2+", 0L"+N.w+","+N.h+"Z",R=!1,O=D.append("path").attr("class","zoombox").style({fill:z>.2?"rgba(0,0,0,0)":"rgba(255,255,255,0)","stroke-width":0}).attr("d",P),I=D.append("path").attr("class","zoombox-corners").style({fill:c.background,stroke:c.defaultLine,"stroke-width":1,opacity:0}).attr("d","M0,0Z"),p()}function e(t,e){return 1-e/N.h}function r(t,e){return 1-(t+(N.h-e)/Math.sqrt(3))/N.w}function n(t,e){return(t-(N.h-e)/Math.sqrt(3))/N.w}function a(t,i){var a=x+t,o=w+i,s=Math.max(0,Math.min(1,e(x,w),e(a,o))),l=Math.max(0,Math.min(1,r(x,w),r(a,o))),c=Math.max(0,Math.min(1,n(x,w),n(a,o))),u=(s/2+c)*N.w,f=(1-s/2-l)*N.w,h=(u+f)/2,d=f-u,p=(1-s)*N.h,g=p-d/_;d.2?"rgba(0,0,0,0.4)":"rgba(255,255,255,0.3)").duration(200),I.transition().style("opacity",1).duration(200),R=!0)}function 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n={};n.attributes=t("./attributes"),n.supplyDefaults=t("./defaults"),n.supplyLayoutDefaults=t("./layout_defaults"),n.layoutAttributes=t("./layout_attributes"),n.calc=t("./calc"),n.plot=t("./plot"),n.style=t("./style"),n.styleOne=t("./style_one"),n.moduleType="trace",n.name="pie",n.basePlotModule=t("../../plots/cartesian"),n.categories=["pie","showLegend"],n.meta={},e.exports=n},{"../../plots/cartesian":407,"./attributes":535,"./calc":536,"./defaults":537,"./layout_attributes":540,"./layout_defaults":541,"./plot":542,"./style":543,"./style_one":544}],540:[function(t,e,r){"use strict";e.exports={hiddenlabels:{valType:"data_array"}}},{}],541:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("hiddenlabels")}},{"../../lib":378,"./layout_attributes":540}],542:[function(t,e,r){"use strict";function n(t,e,r){var 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e=t.trace,r=e.line||{};s.select(this).call(d.stroke,r.color).call(p.dashLine,r.dash||"",r.width||0)})}},{"../../components/color":303,"../../components/drawing":325,"../../lib/array_to_calc_item":369,"../../lib/geo_location_utils":375,"../../lib/topojson_utils":391,"../../plots/cartesian/axes":399,"../../plots/cartesian/graph_interact":406,"../scatter/subtypes":565,"./attributes":574,d3:72}],579:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../constants/gl2d_dashes"),a=t("../../constants/gl_markers"),o=t("../../lib/extend").extendFlat,s=n.line,l=n.marker,c=l.line;e.exports={x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,text:o({},n.text,{}),mode:{valType:"flaglist",flags:["lines","markers"],extras:["none"]},line:{color:s.color,width:s.width,dash:{valType:"enumerated",values:Object.keys(i),dflt:"solid"}},marker:{color:l.color,symbol:{valType:"enumerated",values:Object.keys(a),dflt:"circle",arrayOk:!0},size:l.size,sizeref:l.sizeref,sizemin:l.sizemin,sizemode:l.sizemode,opacity:l.opacity,colorscale:l.colorscale,cauto:l.cauto,cmax:l.cmax,cmin:l.cmin,autocolorscale:l.autocolorscale,reversescale:l.reversescale,showscale:l.showscale,line:{color:c.color,width:c.width,colorscale:c.colorscale,cauto:c.cauto,cmax:c.cmax,cmin:c.cmin,autocolorscale:c.autocolorscale,reversescale:c.reversescale}},fill:o({},n.fill,{values:["none","tozeroy","tozerox"]}),fillcolor:n.fillcolor,_nestedModules:{error_x:"ErrorBars",error_y:"ErrorBars","marker.colorbar":"Colorbar"}}},{"../../constants/gl2d_dashes":363,"../../constants/gl_markers":365,"../../lib/extend":373,"../scatter/attributes":546}],580:[function(t,e,r){"use 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f=t("gl-scatter2d"),h=t("gl-scatter2d-fancy"),d=t("gl-line2d"),p=t("gl-error2d"),g=t("fast-isnumeric"),v=t("../../lib"),m=t("../../plots/cartesian/axes"),y=t("../../components/errorbars"),b=t("../../lib/str2rgbarray"),x=t("../../lib/gl_format_color"),_=t("../scatter/subtypes"),w=t("../scatter/make_bubble_size_func"),k=t("../scatter/get_trace_color"),A=t("../../constants/gl_markers"),M=t("../../constants/gl2d_dashes"),T=["xaxis","yaxis"],E=n.prototype;E.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:[this.xData[e],this.yData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:Array.isArray(this.color)?this.color[e]:this.color,name:this.name,hoverinfo:this.hoverinfo}},E.isFancy=function(t){if("linear"!==this.scene.xaxis.type)return!0;if("linear"!==this.scene.yaxis.type)return!0;if(!t.x||!t.y)return!0;var 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e,r,n,a,o,l,u,f,h=this.scene,d=h.xaxis,p=h.yaxis,g=this.bounds,v=this.xData=d.makeCalcdata(t,"x"),m=this.yData=p.makeCalcdata(t,"y"),b=y.calcFromTrace(t,h.fullLayout),x=v.length,_=new Array(x),k=new Float32Array(2*x),A=new Float32Array(4*x),M=new Float32Array(4*x),T=0,E=0,S=0,z=0,P="log"===d.type?function(t){return d.d2l(t)}:function(t){return t},R="log"===p.type?function(t){return p.d2l(t)}:function(t){return t};for(e=0;x>e;++e)n=P(v[e]),a=R(m[e]),isNaN(n)||isNaN(a)||(_[T++]=e,k[E++]=n,k[E++]=a,o=A[S++]=n-b[e].xs||0,l=A[S++]=b[e].xh-n||0,A[S++]=0,A[S++]=0,M[z++]=0,M[z++]=0,u=M[z++]=a-b[e].ys||0,f=M[z++]=b[e].yh-a||0,g[0]=Math.min(g[0],n-o),g[1]=Math.min(g[1],a-u),g[2]=Math.max(g[2],n+l),g[3]=Math.max(g[3],a+f));k=c(k,E),this.idToIndex=_,this.updateLines(t,k),this.updateError("X",t,k,A),this.updateError("Y",t,k,M);var O;if(this.hasMarkers){this.scatterOptions.positions=k,this.scatterOptions.sizes=new Array(T),this.scatterOptions.glyphs=new Array(T),this.scatterOptions.borderWidths=new 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n=Math.round(.5*this.lineOptions.width),i=(M[t.line.dash]||[1]).slice(),a=0;ao;o++)r=this.scene[T[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},E.expandAxesFancy=function(t,e,r){var n=this.scene,i={padded:!0,ppad:r};m.expand(n.xaxis,t,i),m.expand(n.yaxis,e,i)},E.dispose=function(){this.line.dispose(),this.errorX.dispose(),this.errorY.dispose(),this.scatter.dispose(),this.fancyScatter.dispose()},e.exports=u},{"../../components/errorbars":331,"../../constants/gl2d_dashes":363,"../../constants/gl_markers":365,"../../lib":378,"../../lib/gl_format_color":376,"../../lib/str2rgbarray":389,"../../plots/cartesian/axes":399,"../scatter/get_trace_color":553,"../scatter/make_bubble_size_func":559, -"../scatter/subtypes":565,"fast-isnumeric":76,"gl-error2d":78,"gl-line2d":84,"gl-scatter2d":149,"gl-scatter2d-fancy":144}],581:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/constants"),a=t("../scatter/subtypes"),o=t("../scatter/xy_defaults"),s=t("../scatter/marker_defaults"),l=t("../scatter/line_defaults"),c=t("../scatter/fillcolor_defaults"),u=t("../../components/errorbars/defaults"),f=t("./attributes");e.exports=function(t,e,r,h){function d(r,i){return n.coerce(t,e,f,r,i)}var p=o(t,e,d);return p?(d("text"),d("mode",pr;r++)y=e.a[r],b=e.b[r],x=e.c[r],n(y)&&n(b)&&n(x)?(y=+y,b=+b,x=+x,_=v/(y+b+x),1!==_&&(y*=_,b*=_,x*=_),k=y,w=x-b,M[r]={x:w,y:k,a:y,b:b,c:x}):M[r]={x:!1,y:!1};var T,E;if(o.hasMarkers(e)&&(T=e.marker,E=T.size,Array.isArray(E))){var L={type:"linear"};i.setConvert(L),E=L.makeCalcdata(e.marker,"size"),E.length>A&&E.splice(A,E.length-A)}return s(e),void 0!==typeof E&&a.mergeArray(E,M,"ms"),M}},{"../../lib":378,"../../plots/cartesian/axes":399,"../scatter/marker_colorscale_calc":560,"../scatter/subtypes":565,"fast-isnumeric":76}],585:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/constants"),a=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/line_shape_defaults"),c=t("../scatter/text_defaults"),u=t("../scatter/fillcolor_defaults"),f=t("./attributes");e.exports=function(t,e,r,h){function d(r,i){return n.coerce(t,e,f,r,i)}var p,g=d("a"),v=d("b"),m=d("c");if(g?(p=g.length,v?(p=Math.min(p,v.length),m&&(p=Math.min(p,m.length))):p=m?Math.min(p,m.length):0):v&&m&&(p=Math.min(v.length,m.length)),!p)return void(e.visible=!1);g&&p"),s}}},{"../../plots/cartesian/axes":399,"../scatter/hover":554}],587:[function(t,e,r){"use strict";var n={};n.attributes=t("./attributes"),n.supplyDefaults=t("./defaults"),n.colorbar=t("../scatter/colorbar"),n.calc=t("./calc"),n.plot=t("./plot"),n.style=t("./style"),n.hoverPoints=t("./hover"),n.selectPoints=t("./select"),n.moduleType="trace",n.name="scatterternary",n.basePlotModule=t("../../plots/ternary"),n.categories=["ternary","symbols","markerColorscale","showLegend"],n.meta={},e.exports=n},{"../../plots/ternary":454,"../scatter/colorbar":549,"./attributes":583,"./calc":584,"./defaults":585,"./hover":586,"./plot":588,"./select":589,"./style":590}],588:[function(t,e,r){"use strict";var n=t("../scatter/plot");e.exports=function(t,e){for(var r={x:function(){return t.xaxis},y:function(){return t.yaxis},plot:t.plotContainer},i=new Array(e.length),a=t.graphDiv.calcdata,o=0;oe){for(var r=g/e,n=[0|Math.floor(t[0].shape[0]*r+1),0|Math.floor(t[0].shape[1]*r+1)],i=n[0]*n[1],o=0;or;++r)this.showContour[r]&&(e=!0,t[r]=this.scene.contourLevels[r]);e&&this.surface.update({levels:t})},v.update=function(t){var e,r=this.scene,n=r.fullSceneLayout,a=this.surface,s=t.opacity,l=i(t.colorscale,s),u=t.z,h=t.x,d=t.y,g=n.xaxis,v=n.yaxis,m=n.zaxis,y=r.dataScale,b=u[0].length,x=u.length,_=[c(new Float32Array(b*x),[b,x]),c(new Float32Array(b*x),[b,x]),c(new Float32Array(b*x),[b,x])],w=_[0],k=_[1],A=r.contourLevels;this.data=t,f(_[2],function(t,e){return m.d2l(u[e][t])*y[2]}),Array.isArray(h[0])?f(w,function(t,e){return g.d2l(h[e][t])*y[0]}):f(w,function(t){return g.d2l(h[t])*y[0]}),Array.isArray(d[0])?f(k,function(t,e){return v.d2l(d[e][t])*y[1]}):f(k,function(t,e){return v.d2l(d[e])*y[1]});var M={colormap:l,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacity:1};if(M.intensityBounds=[t.cmin,t.cmax],t.surfacecolor){var T=c(new Float32Array(b*x),[b,x]);f(T,function(e,r){return t.surfacecolor[r][e]}),_.push(T)}else M.intensityBounds[0]*=y[2],M.intensityBounds[1]*=y[2];this.dataScale=o(_),t.surfacecolor&&(M.intensity=_.pop()),"opacity"in t&&t.opacity<1&&(M.opacity=.25*t.opacity);var E=[!0,!0,!0],L=["x","y","z"];for(e=0;3>e;++e){var S=t.contours[L[e]];E[e]=S.highlight,M.showContour[e]=S.show||S.highlight,M.showContour[e]&&(M.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,M.levels[e]=A[e],a.highlightColor[e]=M.contourColor[e]=p(S.color),S.usecolormap?a.highlightTint[e]=M.contourTint[e]=0:a.highlightTint[e]=M.contourTint[e]=1,M.contourWidth[e]=S.width):this.showContour[e]=!1,S.highlight&&(M.dynamicColor[e]=p(S.highlightcolor),M.dynamicWidth[e]=S.highlightwidth))}M.coords=_,a.update(M),a.visible=t.visible,a.enableDynamic=E,a.snapToData=!0,"lighting"in t&&(a.ambientLight=t.lighting.ambient,a.diffuseLight=t.lighting.diffuse,a.specularLight=t.lighting.specular,a.roughness=t.lighting.roughness,a.fresnel=t.lighting.fresnel),s&&1>s&&(a.supportsTransparency=!0)},v.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=s},{"../../lib/str2rgbarray":389,"gl-surface3d":180,ndarray:212,"ndarray-fill":205,"ndarray-homography":210,"ndarray-ops":211,tinycolor2:233}],595:[function(t,e,r){"use strict";function n(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}var i=t("../../lib"),a=t("../../components/colorscale/defaults"),o=t("./attributes");e.exports=function(t,e,r,s){function l(r,n){return i.coerce(t,e,o,r,n)}var c,u,f=l("z");if(!f)return void(e.visible=!1);var h=f[0].length,d=f.length;if(l("x"),l("y"),!Array.isArray(e.x))for(e.x=[],c=0;h>c;++c)e.x[c]=c;if(l("text"),!Array.isArray(e.y))for(e.y=[],c=0;d>c;++c)e.y[c]=c;l("lighting.ambient"),l("lighting.diffuse"),l("lighting.specular"),l("lighting.roughness"),l("lighting.fresnel"),l("hidesurface"),l("opacity");var p=l("surfacecolor");l("colorscale");var g=["x","y","z"];for(c=0;3>c;++c){var v="contours."+g[c],m=l(v+".show"),y=l(v+".highlight");if(m||y)for(u=0;3>u;++u)l(v+".project."+g[u]);m&&(l(v+".color"),l(v+".width"),l(v+".usecolormap")),y&&(l(v+".highlightcolor"),l(v+".highlightwidth"))}p||(n(t,"zmin","cmin"),n(t,"zmax","cmax"),n(t,"zauto","cauto")),a(t,e,s,l,{prefix:"",cLetter:"c"})}},{"../../components/colorscale/defaults":312,"../../lib":378,"./attributes":591}],596:[function(t,e,r){"use strict";var n={};n.attributes=t("./attributes"),n.supplyDefaults=t("./defaults"),n.colorbar=t("./colorbar"),n.calc=t("./calc"),n.plot=t("./convert"),n.moduleType="trace",n.name="surface",n.basePlotModule=t("../../plots/gl3d"),n.categories=["gl3d","noOpacity"],n.meta={},e.exports=n},{"../../plots/gl3d":434,"./attributes":591,"./calc":592,"./colorbar":593,"./convert":594,"./defaults":595}]},{},[12])(12)}); \ No newline at end of file +path:"M-2.4,-3V3L0.6,0Z",backoff:.6},{path:"M-3.7,-2.5V2.5L1.3,0Z",backoff:1.3},{path:"M-4.45,-3L-1.65,-0.2V0.2L-4.45,3L1.55,0Z",backoff:1.55},{path:"M-2.2,-2.2L-0.2,-0.2V0.2L-2.2,2.2L-1.4,3L1.6,0L-1.4,-3Z",backoff:1.6},{path:"M-4.4,-2.1L-0.6,-0.2V0.2L-4.4,2.1L-4,3L2,0L-4,-3Z",backoff:2},{path:"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z",backoff:0},{path:"M2,2V-2H-2V2Z",backoff:0}]},{}],300:[function(t,e,r){"use strict";var n=t("./arrow_paths"),i=t("../../plots/font_attributes"),a=t("../../plots/cartesian/constants"),o=t("../../lib/extend").extendFlat;e.exports={_isLinkedToArray:!0,text:{valType:"string"},textangle:{valType:"angle",dflt:0},font:o({},i,{}),opacity:{valType:"number",min:0,max:1,dflt:1},align:{valType:"enumerated",values:["left","center","right"],dflt:"center"},bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)"},bordercolor:{valType:"color",dflt:"rgba(0,0,0,0)"},borderpad:{valType:"number",min:0,dflt:1},borderwidth:{valType:"number",min:0,dflt:1},showarrow:{valType:"boolean",dflt:!0},arrowcolor:{valType:"color"},arrowhead:{valType:"integer",min:0,max:n.length,dflt:1},arrowsize:{valType:"number",min:.3,dflt:1},arrowwidth:{valType:"number",min:.1},ax:{valType:"number",dflt:-10},ay:{valType:"number",dflt:-30},xref:{valType:"enumerated",values:["paper",a.idRegex.x.toString()]},x:{valType:"number"},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"auto"},yref:{valType:"enumerated",values:["paper",a.idRegex.y.toString()]},y:{valType:"number"},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"auto"},_deprecated:{ref:{valType:"string"}}}},{"../../lib/extend":376,"../../plots/cartesian/constants":408,"../../plots/font_attributes":421,"./arrow_paths":299}],301:[function(t,e,r){"use 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i=r.x*t.pixelRatio,a=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===n.dragmode)this.selectBox.enabled=!0,this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],t.setDirty();else{this.selectBox.enabled=!1;var o=n._size,s=this.xaxis.domain,c=this.yaxis.domain,u=t.pick(i/t.pixelRatio+o.l+s[0]*o.w,a/t.pixelRatio-(o.t+(1-c[1])*o.h));if(u&&n.hovermode){var f=u.object._trace.handlePick(u);if(f&&(!this.lastPickResult||this.lastPickResult.trace!==f.trace||this.lastPickResult.dataCoord[0]!==f.dataCoord[0]||this.lastPickResult.dataCoord[1]!==f.dataCoord[1])){var h=this.lastPickResult=f;this.spikes.update({center:u.dataCoord}),h.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(u.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(u.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio];var d=h.hoverinfo;if("all"!==d){var p=d.split("+");-1===p.indexOf("x")&&(h.traceCoord[0]=void 0),-1===p.indexOf("y")&&(h.traceCoord[1]=void 0),-1===p.indexOf("z")&&(h.traceCoord[2]=void 0),-1===p.indexOf("text")&&(h.textLabel=void 0),-1===p.indexOf("name")&&(h.name=void 0)}l.loneHover({x:h.screenCoord[0],y:h.screenCoord[1],xLabel:this.hoverFormatter("xaxis",h.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",h.traceCoord[1]),zLabel:h.traceCoord[2],text:h.textLabel,name:h.name,color:h.color},{container:this.svgContainer}),this.lastPickResult={dataCoord:u.dataCoord}}}else!u&&this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,l.loneUnhover(this.svgContainer))}t.draw()}},m.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return s.tickText(r,r.c2l(e),"hover").text}}},{"../../lib/html2unicode":380,"../../lib/show_no_webgl_msg":390,"../../plots/cartesian/axes":403,"../../plots/cartesian/graph_interact":410,"./camera":434,"./convert":435,"gl-plot2d":124,"gl-select-box":154,"gl-spikes2d":174}],438:[function(t,e,r){"use strict";function n(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];"distanceLimits"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),"zoomMin"in e&&(r[0]=e.zoomMin),"zoomMax"in e&&(r[1]=e.zoomMax);var n=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),l=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],c=0,u=t.clientWidth,f=t.clientHeight,h={keyBindingMode:"rotate",view:n,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:n.modes,tick:function(){var e=i(),r=this.delay,a=e-2*r;n.idle(e-r),n.recalcMatrix(a),n.flush(e-(100+2*r));for(var o=!0,s=n.computedMatrix,h=0;16>h;++h)o=o&&l[h]===s[h],l[h]=s[h];var d=t.clientWidth===u&&t.clientHeight===f;return u=t.clientWidth,f=t.clientHeight,o?!d:(c=Math.exp(n.computedRadius[0]),!0)},lookAt:function(t,e,r){n.lookAt(n.lastT(),t,e,r)},rotate:function(t,e,r){n.rotate(n.lastT(),t,e,r)},pan:function(t,e,r){n.pan(n.lastT(),t,e,r)},translate:function(t,e,r){n.translate(n.lastT(),t,e,r)}};Object.defineProperties(h,{matrix:{get:function(){return n.computedMatrix},set:function(t){return n.setMatrix(n.lastT(),t),n.computedMatrix},enumerable:!0},mode:{get:function(){return n.getMode()},set:function(t){var e=n.computedUp.slice(),r=n.computedEye.slice(),a=n.computedCenter.slice();if(n.setMode(t),"turntable"===t){var o=i();n._active.lookAt(o,r,a,e),n._active.lookAt(o+500,r,a,[0,0,1]),n._active.flush(o)}return n.getMode()},enumerable:!0},center:{get:function(){return n.computedCenter},set:function(t){return n.lookAt(n.lastT(),null,t),n.computedCenter},enumerable:!0},eye:{get:function(){return n.computedEye},set:function(t){return n.lookAt(n.lastT(),t),n.computedEye},enumerable:!0},up:{get:function(){return n.computedUp},set:function(t){return n.lookAt(n.lastT(),null,null,t),n.computedUp},enumerable:!0},distance:{get:function(){return c},set:function(t){return n.setDistance(n.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return n.getDistanceLimits(r)},set:function(t){return 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i=t("right-now"),a=t("3d-view"),o=t("mouse-change"),s=t("mouse-wheel")},{"3d-view":39,"mouse-change":200,"mouse-wheel":204,"right-now":214}],439:[function(t,e,r){"use strict";function n(t,e){for(var r=0;3>r;++r){var n=o[r];e[n]._gd=t}}var i=t("./scene"),a=t("../plots"),o=["xaxis","yaxis","zaxis"];r.name="gl3d",r.attr="scene",r.idRoot="scene",r.idRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attrRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attributes=t("./layout/attributes"),r.layoutAttributes=t("./layout/layout_attributes"),r.supplyLayoutDefaults=t("./layout/defaults"),r.plot=function(t){var e=t._fullLayout,r=t._fullData,o=a.getSubplotIds(e,"gl3d");e._paperdiv.style({width:e.width+"px",height:e.height+"px"}),t._context.setBackground(t,e.paper_bgcolor);for(var s=0;sr;++r){var n=t[c[r]];e.labels[r]=o(n.title),"titlefont"in n&&(n.titlefont.color&&(e.labelColor[r]=s(n.titlefont.color)),n.titlefont.family&&(e.labelFont[r]=n.titlefont.family),n.titlefont.size&&(e.labelSize[r]=n.titlefont.size)),"showline"in n&&(e.lineEnable[r]=n.showline),"linecolor"in n&&(e.lineColor[r]=s(n.linecolor)),"linewidth"in n&&(e.lineWidth[r]=n.linewidth),"showgrid"in n&&(e.gridEnable[r]=n.showgrid),"gridcolor"in n&&(e.gridColor[r]=s(n.gridcolor)),"gridwidth"in n&&(e.gridWidth[r]=n.gridwidth),"log"===n.type?e.zeroEnable[r]=!1:"zeroline"in n&&(e.zeroEnable[r]=n.zeroline),"zerolinecolor"in n&&(e.zeroLineColor[r]=s(n.zerolinecolor)),"zerolinewidth"in n&&(e.zeroLineWidth[r]=n.zerolinewidth),"ticks"in n&&n.ticks?e.lineTickEnable[r]=!0:e.lineTickEnable[r]=!1,"ticklen"in n&&(e.lineTickLength[r]=e._defaultLineTickLength[r]=n.ticklen),"tickcolor"in n&&(e.lineTickColor[r]=s(n.tickcolor)),"tickwidth"in n&&(e.lineTickWidth[r]=n.tickwidth),"tickangle"in n&&(e.tickAngle[r]="auto"===n.tickangle?0:Math.PI*-n.tickangle/180),"showticklabels"in n&&(e.tickEnable[r]=n.showticklabels),"tickfont"in n&&(n.tickfont.color&&(e.tickColor[r]=s(n.tickfont.color)),n.tickfont.family&&(e.tickFont[r]=n.tickfont.family),n.tickfont.size&&(e.tickSize[r]=n.tickfont.size)),"mirror"in n?-1!==["ticks","all","allticks"].indexOf(n.mirror)?(e.lineTickMirror[r]=!0,e.lineMirror[r]=!0):n.mirror===!0?(e.lineTickMirror[r]=!1,e.lineMirror[r]=!0):(e.lineTickMirror[r]=!1,e.lineMirror[r]=!1):e.lineMirror[r]=!1,"showbackground"in n&&n.showbackground!==!1?(e.backgroundEnable[r]=!0,e.backgroundColor[r]=s(n.backgroundcolor)):e.backgroundEnable[r]=!1}},e.exports=i},{"../../../lib/html2unicode":380,"../../../lib/str2rgbarray":392,arraytools:49}],444:[function(t,e,r){"use strict";function n(t,e,r,n){for(var a=r("bgcolor"),l=i.combine(a,n.paper_bgcolor),c=Object.keys(o.camera),u=0;ue;++e){var r=t[o[e]];this.enabled[e]=r.showspikes,this.colors[e]=a(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness}},e.exports=i},{"../../../lib/str2rgbarray":392}],447:[function(t,e,r){"use strict";function n(t){for(var e=new Array(3),r=0;3>r;++r){for(var n=t[r],i=new Array(n.length),a=0;au;++u){var f=i[s[u]];if(f._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(f._length)===1/0)c[u]=[];else{f.range[0]=r[u].lo/t.dataScale[u],f.range[1]=r[u].hi/t.dataScale[u],f._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),f.range[0]===f.range[1]&&(f.range[0]-=1,f.range[1]+=1);var h=f.tickmode;if("auto"===f.tickmode){f.tickmode="linear";var d=f.nticks||a.Lib.constrain(f._length/40,4,9);a.Axes.autoTicks(f,Math.abs(f.range[1]-f.range[0])/d)}for(var p=a.Axes.calcTicks(f),g=0;gu;++u){l[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]);for(var g=0;2>g;++g)e.bounds[g][u]=t.glplot.bounds[g][u]}t.contourLevels=n(c)}e.exports=i;var a=t("../../../plotly"),o=t("../../../lib/html2unicode"),s=["xaxis","yaxis","zaxis"],l=[0,0,0]},{"../../../lib/html2unicode":380,"../../../plotly":400}],448:[function(t,e,r){"use strict";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;4>r;++r)for(n=0;4>n;++n)i[n]+=t[4*r+n]*e[r];return i}function i(t,e){var r=n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])));return r}e.exports=i},{}],449:[function(t,e,r){"use strict";function n(t){function e(e,r){if("string"==typeof r)return r;var n=t.fullSceneLayout[e];return g.tickText(n,n.c2l(r),"hover").text}var r,n=t.svgContainer,i=t.container.getBoundingClientRect(),a=i.width,o=i.height;n.setAttributeNS(null,"viewBox","0 0 "+a+" "+o),n.setAttributeNS(null,"width",a),n.setAttributeNS(null,"height",o),A(t),t.glplot.axes.update(t.axesOptions);for(var s=Object.keys(t.traces),l=null,c=t.glplot.selection,u=0;ua;++a)l=u[T[a]],_(l);t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]];for(a=0;ao;++o)h[0][o]>h[1][o]?d[o]=1:h[1][o]===h[0][o]?d[o]=1:d[o]=1/(h[1][o]-h[0][o]);for(this.dataScale=d,a=0;aa;++a){if(l=u[T[a]],c=l.type,c in x?(x[c].acc*=d[a],x[c].count+=1):x[c]={acc:d[a],count:1},l.autorange){for(y[0][a]=1/0,y[1][a]=-(1/0),o=0;oy[1][a])y[0][a]=-1,y[1][a]=1;else{var k=y[1][a]-y[0][a];y[0][a]-=k/32,y[1][a]+=k/32}}else{var A=u[T[a]].range;y[0][a]=A[0],y[1][a]=A[1]}y[0][a]===y[1][a]&&(y[0][a]-=1,y[1][a]+=1),b[a]=y[1][a]-y[0][a],this.glplot.bounds[0][a]=y[0][a]*d[a],this.glplot.bounds[1][a]=y[1][a]*d[a]}var M=[1,1,1];for(a=0;3>a;++a){l=u[T[a]],c=l.type;var E=x[c];M[a]=Math.pow(E.acc,1/E.count)/d[a]}var L,S=4;if("auto"===u.aspectmode)L=Math.max.apply(null,M)/Math.min.apply(null,M)<=S?M:[1,1,1];else if("cube"===u.aspectmode)L=[1,1,1];else if("data"===u.aspectmode)L=M;else{if("manual"!==u.aspectmode)throw new Error("scene.js aspectRatio was not one of the enumerated types");var 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h=f.getContext("2d"),d=h.createImageData(r,n);d.data.set(i),h.putImageData(d,0,0);var p;switch(t){case"jpeg":p=f.toDataURL("image/jpeg");break;case"webp":p=f.toDataURL("image/webp");break;default:p=f.toDataURL("image/png")}return this.staticMode&&this.container.removeChild(u),p},e.exports=a},{"../../lib":381,"../../lib/show_no_webgl_msg":390,"../../lib/str2rgbarray":392,"../../plots/cartesian/axes":403,"../../plots/cartesian/graph_interact":410,"../../plots/plots":452,"./camera":438,"./layout/convert":443,"./layout/spikes":446,"./layout/tick_marks":447,"./project":448,"./set_convert":450,"gl-plot3d":142}],450:[function(t,e,r){"use strict";var n=t("../cartesian/axes"),i=function(){};e.exports=function(t){n.setConvert(t),t.setScale=i}},{"../cartesian/axes":403}],451:[function(t,e,r){"use strict";var n=t("../plotly"),i=t("./font_attributes"),a=t("../components/color/attributes"),o=n.Lib.extendFlat;e.exports={font:{family:o({},i.family,{dflt:'"Open Sans", verdana, arial, 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p={positions:l,cells:s,ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,opacity:t.opacity,contourEnable:t.contour.show,contourColor:d(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};t.intensity?(this.color="#fff",p.vertexIntensity=t.intensity,p.colormap=i(t.colorscale)):t.vertexcolor?(this.color=t.vertexcolors[0],p.vertexColors=a(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],p.cellColors=a(t.facecolor)):(this.color=t.color,p.meshColor=d(t.color)),this.mesh.update(p)},p.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=s},{"../../lib/str2rgbarray":392,"alpha-shape":40,"convex-hull":61,"delaunay-triangulate":73,"gl-mesh3d":109,tinycolor2:233}],540:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorbar/defaults"),a=t("./attributes");e.exports=function(t,e,r,o){function s(r,i){return 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t=u.select(this).selectAll("text").data([0]);t.enter().append("text").attr("data-notex",1),t.exit().remove(),t.text(o.text).attr({"class":"slicetext",transform:"","data-bb":"","text-anchor":"middle",x:0,y:0}).call(d.font,"outside"===R?v.outsidetextfont:v.insidetextfont).call(p.convertToTspans),t.selectAll("tspan.line").attr({x:0,y:0});var e,r=d.bBox(t.node());"outside"===R?e=a(r,o):(e=n(r,o,c),"auto"===R&&e.scale<1&&(t.call(d.font,v.outsidetextfont),v.outsidetextfont.family===v.insidetextfont.family&&v.outsidetextfont.size===v.insidetextfont.size||(t.attr({"data-bb":""}),r=d.bBox(t.node())),e=a(r,o)));var i=k+o.pxmid[0]*e.rCenter+(e.x||0),s=A+o.pxmid[1]*e.rCenter+(e.y||0);e.outside&&(o.yLabelMin=s-r.height/2,o.yLabelMid=s,o.yLabelMax=s+r.height/2,o.labelExtraX=0,o.labelExtraY=0,m=!0),t.attr("transform","translate("+i+","+s+")"+(e.scale<1?"scale("+e.scale+")":"")+(e.rotate?"rotate("+e.rotate+")":"")+"translate("+-(r.left+r.right)/2+","+-(r.top+r.bottom)/2+")")})}),m&&o(l,v),s.each(function(t){if(t.labelExtraX||t.labelExtraY){var e=u.select(this),r=e.select("g.slicetext text");r.attr("transform","translate("+t.labelExtraX+","+t.labelExtraY+")"+r.attr("transform"));var n=t.cxFinal+t.pxmid[0],i=t.cyFinal+t.pxmid[1],a="M"+n+","+i,o=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var s=t.labelExtraX*t.pxmid[1]/t.pxmid[0],l=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);a+=Math.abs(s)>Math.abs(l)?"l"+l*t.pxmid[0]/t.pxmid[1]+","+l+"H"+(n+t.labelExtraX+o):"l"+t.labelExtraX+","+s+"v"+(l-s)+"h"+o}else 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n=t("../../components/drawing");t("./constants");e.exports={x:{valType:"data_array"},x0:{valType:"any",dflt:0},dx:{valType:"number",dflt:1},y:{valType:"data_array"},y0:{valType:"any",dflt:0},dy:{valType:"number",dflt:1},text:{valType:"string",dflt:"",arrayOk:!0},mode:{valType:"flaglist",flags:["lines","markers","text"],extras:["none"]},line:{color:{valType:"color"},width:{valType:"number",min:0,dflt:2},shape:{valType:"enumerated",values:["linear","spline","hv","vh","hvh","vhv"],dflt:"linear"},smoothing:{valType:"number",min:0,max:1.3,dflt:1},dash:{valType:"string",values:["solid","dot","dash","longdash","dashdot","longdashdot"],dflt:"solid"}},connectgaps:{valType:"boolean",dflt:!1},fill:{valType:"enumerated",values:["none","tozeroy","tozerox","tonexty","tonextx","toself","tonext"],dflt:"none"},fillcolor:{valType:"color"},marker:{symbol:{valType:"enumerated",values:n.symbolList,dflt:"circle",arrayOk:!0},opacity:{valType:"number",min:0,max:1,arrayOk:!0},size:{valType:"number",min:0,dflt:6,arrayOk:!0},color:{valType:"color",arrayOk:!0},maxdisplayed:{valType:"number",min:0,dflt:0},sizeref:{valType:"number",dflt:1},sizemin:{valType:"number",min:0,dflt:0},sizemode:{valType:"enumerated",values:["diameter","area"],dflt:"diameter"},colorscale:{valType:"colorscale"},cauto:{valType:"boolean",dflt:!0},cmax:{valType:"number",dflt:null},cmin:{valType:"number",dflt:null},autocolorscale:{valType:"boolean",dflt:!0},reversescale:{valType:"boolean",dflt:!1},showscale:{valType:"boolean",dflt:!1},line:{color:{valType:"color",arrayOk:!0},width:{valType:"number",min:0,arrayOk:!0},colorscale:{ 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n=r("line.shape");"spline"===n&&r("line.smoothing")}},{}],567:[function(t,e,r){"use strict";var n=t("fast-isnumeric");e.exports=function(t){var e=t.marker,r=e.sizeref||1,i=e.sizemin||0,a="area"===e.sizemode?function(t){return Math.sqrt(t/r)}:function(t){return t/r};return function(t){var e=a(t/2);return n(e)&&e>0?Math.max(e,i):0}}},{"fast-isnumeric":76}],568:[function(t,e,r){"use strict";var n=t("../../components/colorscale/has_colorscale"),i=t("../../components/colorscale/calc"),a=t("./subtypes");e.exports=function(t){if(a.hasMarkers(t)){var e=t.marker;n(t,"marker")&&i(t,e.color,"marker","c"),n(t,"marker.line")&&i(t,e.line.color,"marker.line","c")}}},{"../../components/colorscale/calc":310,"../../components/colorscale/has_colorscale":315,"./subtypes":573}],569:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../components/colorscale/has_colorscale"),a=t("../../components/colorscale/defaults"),o=t("./subtypes");e.exports=function(t,e,r,s,l){var 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c=t.opacity;if(t.marker&&t.marker.opacity&&(c*=t.marker.opacity),r={gl:o,position:l.position,color:l.scatterColor,size:l.scatterSize,glyph:l.scatterMarker,opacity:c,orthographic:!0,lineWidth:l.scatterLineWidth,lineColor:l.scatterLineColor,project:l.project,projectScale:l.projectScale,projectOpacity:l.projectOpacity},-1!==this.mode.indexOf("markers")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=p(r),this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),a={gl:o,position:l.position,glyph:l.text,color:l.textColor,size:l.textSize,angle:l.textAngle,alignment:l.textOffset,font:l.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=l.text,-1!==this.mode.indexOf("text")?this.textMarkers?this.textMarkers.update(a):(this.textMarkers=p(a),this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),n={gl:o,position:l.position,color:l.errorColor,error:l.errorBounds,lineWidth:l.errorLineWidth,capSize:l.errorCapSize,opacity:t.opacity},this.errorBars?l.errorBounds?this.errorBars.update(n):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):l.errorBounds&&(this.errorBars=g(n),this.scene.glplot.add(this.errorBars)),l.delaunayAxis>=0){var h=i(l.position,l.delaunayColor,l.delaunayAxis);h.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(h):(h.gl=o,this.delaunayMesh=v(h),this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)},M.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())},e.exports=h},{"../../constants/gl3d_dashes":367,"../../constants/gl_markers":368,"../../lib":381,"../../lib/gl_format_color":379,"../../lib/str2rgbarray":392,"../scatter/make_bubble_size_func":567,"./calc_errors":578,"delaunay-triangulate":73,"gl-error3d":80,"gl-line3d":86,"gl-mesh3d":109,"gl-scatter3d":152}],580:[function(t,e,r){"use strict";function n(t,e,r){var n=0,i=r("x"),a=r("y"),o=r("z");return 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n={};n.plot=t("./convert"),n.attributes=t("./attributes"),n.markerSymbols=t("../../constants/gl_markers"),n.supplyDefaults=t("./defaults"),n.colorbar=t("../scatter/colorbar"),n.calc=t("./calc"),n.moduleType="trace",n.name="scatter3d",n.basePlotModule=t("../../plots/gl3d"),n.categories=["gl3d","symbols","markerColorscale","showLegend"],n.meta={},e.exports=n},{"../../constants/gl_markers":368,"../../plots/gl3d":439,"../scatter/colorbar":557,"./attributes":576,"./calc":577,"./convert":579,"./defaults":580}],582:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../plots/attributes"),a=t("../../lib/extend").extendFlat,o=n.marker,s=n.line,l=o.line;e.exports={lon:{valType:"data_array"},lat:{valType:"data_array"},locations:{valType:"data_array"},locationmode:{valType:"enumerated",values:["ISO-3","USA-states","country names"],dflt:"ISO-3"},mode:a({},n.mode,{dflt:"markers"}),text:a({},n.text,{}),line:{color:s.color,width:s.width,dash:s.dash},marker:{symbol:o.symbol,opacity:o.opacity,size:o.size,sizeref:o.sizeref,sizemin:o.sizemin,sizemode:o.sizemode,color:o.color,colorscale:o.colorscale,cauto:o.cauto,cmax:o.cmax,cmin:o.cmin,autocolorscale:o.autocolorscale,reversescale:o.reversescale,showscale:o.showscale,line:{color:l.color,width:l.width,colorscale:l.colorscale,cauto:l.cauto,cmax:l.cmax,cmin:l.cmin,autocolorscale:l.autocolorscale,reversescale:l.reversescale}},textfont:n.textfont,textposition:n.textposition,hoverinfo:a({},i.hoverinfo,{flags:["lon","lat","location","text","name"]}),_nestedModules:{"marker.colorbar":"Colorbar"}}},{"../../lib/extend":376,"../../plots/attributes":401,"../scatter/attributes":554}],583:[function(t,e,r){"use strict";var n=t("../scatter/marker_colorscale_calc");e.exports=function(t,e){var r=[{x:!1,y:!1,trace:e,t:{}}];return 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r=t.framework.select(".scattergeolayer").selectAll("g.trace.scattergeo").data(e,function(t){return t.uid});r.enter().append("g").attr("class","trace scattergeo"),r.exit().remove(),r.selectAll("*").remove(),r.each(function(t){var e=s.select(this);g.hasLines(t)&&e.selectAll("path.js-line").data([i(t)]).enter().append("path").classed("js-line",!0)}),r.each(function(e){function r(r,n){if(t.showHover){var i=t.projection([r.lon,r.lat]);h(r),l.loneHover({x:i[0],y:i[1],name:v?e.name:void 0,text:r.textLabel,color:r.mc||(e.marker||{}).color},{container:t.hoverContainer.node()}),y=d(r,n),t.graphDiv.emit("plotly_hover",y)}}function n(e,r){t.graphDiv.emit("plotly_click",d(e,r))}var i=s.select(this),c=g.hasMarkers(e),u=g.hasText(e);if(c||u){var 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n=t("../../lib"),i=t("../scatter/constants"),a=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/line_shape_defaults"),c=t("../scatter/text_defaults"),u=t("../scatter/fillcolor_defaults"),f=t("./attributes");e.exports=function(t,e,r,h){function d(r,i){return n.coerce(t,e,f,r,i)}var p,g=d("a"),v=d("b"),m=d("c");if(g?(p=g.length,v?(p=Math.min(p,v.length),m&&(p=Math.min(p,m.length))):p=m?Math.min(p,m.length):0):v&&m&&(p=Math.min(v.length,m.length)),!p)return void(e.visible=!1);g&&p"),s}}},{"../../plots/cartesian/axes":403,"../scatter/hover":562}],595:[function(t,e,r){"use strict";var n={};n.attributes=t("./attributes"),n.supplyDefaults=t("./defaults"),n.colorbar=t("../scatter/colorbar"),n.calc=t("./calc"),n.plot=t("./plot"),n.style=t("./style"),n.hoverPoints=t("./hover"),n.selectPoints=t("./select"),n.moduleType="trace",n.name="scatterternary",n.basePlotModule=t("../../plots/ternary"),n.categories=["ternary","symbols","markerColorscale","showLegend"],n.meta={},e.exports=n},{"../../plots/ternary":459,"../scatter/colorbar":557,"./attributes":591,"./calc":592,"./defaults":593,"./hover":594,"./plot":596,"./select":597,"./style":598}],596:[function(t,e,r){"use strict";var n=t("../scatter/plot");e.exports=function(t,e){for(var r={x:function(){return t.xaxis},y:function(){return t.yaxis},plot:t.plotContainer},i=new Array(e.length),a=t.graphDiv.calcdata,o=0;oe){for(var r=g/e,n=[0|Math.floor(t[0].shape[0]*r+1),0|Math.floor(t[0].shape[1]*r+1)],i=n[0]*n[1],o=0;or;++r)this.showContour[r]&&(e=!0,t[r]=this.scene.contourLevels[r]);e&&this.surface.update({levels:t})},v.update=function(t){var e,r=this.scene,n=r.fullSceneLayout,a=this.surface,s=t.opacity,l=i(t.colorscale,s),u=t.z,h=t.x,d=t.y,g=n.xaxis,v=n.yaxis,m=n.zaxis,y=r.dataScale,b=u[0].length,x=u.length,_=[c(new Float32Array(b*x),[b,x]),c(new Float32Array(b*x),[b,x]),c(new Float32Array(b*x),[b,x])],w=_[0],k=_[1],A=r.contourLevels;this.data=t,f(_[2],function(t,e){return m.d2l(u[e][t])*y[2]}),Array.isArray(h[0])?f(w,function(t,e){return g.d2l(h[e][t])*y[0]}):f(w,function(t){return g.d2l(h[t])*y[0]}),Array.isArray(d[0])?f(k,function(t,e){return v.d2l(d[e][t])*y[1]}):f(k,function(t,e){return v.d2l(d[e])*y[1]});var M={colormap:l,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacity:1};if(M.intensityBounds=[t.cmin,t.cmax],t.surfacecolor){var T=c(new Float32Array(b*x),[b,x]);f(T,function(e,r){return t.surfacecolor[r][e]}),_.push(T)}else M.intensityBounds[0]*=y[2],M.intensityBounds[1]*=y[2];this.dataScale=o(_),t.surfacecolor&&(M.intensity=_.pop()),"opacity"in t&&t.opacity<1&&(M.opacity=.25*t.opacity);var E=[!0,!0,!0],L=["x","y","z"];for(e=0;3>e;++e){var S=t.contours[L[e]];E[e]=S.highlight,M.showContour[e]=S.show||S.highlight,M.showContour[e]&&(M.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,M.levels[e]=A[e],a.highlightColor[e]=M.contourColor[e]=p(S.color),S.usecolormap?a.highlightTint[e]=M.contourTint[e]=0:a.highlightTint[e]=M.contourTint[e]=1,M.contourWidth[e]=S.width):this.showContour[e]=!1,S.highlight&&(M.dynamicColor[e]=p(S.highlightcolor),M.dynamicWidth[e]=S.highlightwidth))}M.coords=_,a.update(M),a.visible=t.visible,a.enableDynamic=E,a.snapToData=!0,"lighting"in t&&(a.ambientLight=t.lighting.ambient,a.diffuseLight=t.lighting.diffuse,a.specularLight=t.lighting.specular,a.roughness=t.lighting.roughness,a.fresnel=t.lighting.fresnel),s&&1>s&&(a.supportsTransparency=!0)},v.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=s},{"../../lib/str2rgbarray":392,"gl-surface3d":180,ndarray:212,"ndarray-fill":205,"ndarray-homography":210,"ndarray-ops":211,tinycolor2:233}],603:[function(t,e,r){"use strict";function n(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}var i=t("../../lib"),a=t("../../components/colorscale/defaults"),o=t("./attributes");e.exports=function(t,e,r,s){function l(r,n){return i.coerce(t,e,o,r,n)}var c,u,f=l("z");if(!f)return void(e.visible=!1);var h=f[0].length,d=f.length;if(l("x"),l("y"),!Array.isArray(e.x))for(e.x=[],c=0;h>c;++c)e.x[c]=c;if(l("text"),!Array.isArray(e.y))for(e.y=[],c=0;d>c;++c)e.y[c]=c;l("lighting.ambient"),l("lighting.diffuse"),l("lighting.specular"),l("lighting.roughness"),l("lighting.fresnel"),l("hidesurface"),l("opacity");var p=l("surfacecolor");l("colorscale");var g=["x","y","z"];for(c=0;3>c;++c){var v="contours."+g[c],m=l(v+".show"),y=l(v+".highlight");if(m||y)for(u=0;3>u;++u)l(v+".project."+g[u]);m&&(l(v+".color"),l(v+".width"),l(v+".usecolormap")),y&&(l(v+".highlightcolor"),l(v+".highlightwidth"))}p||(n(t,"zmin","cmin"),n(t,"zmax","cmax"),n(t,"zauto","cauto")),a(t,e,s,l,{prefix:"",cLetter:"c"})}},{"../../components/colorscale/defaults":312,"../../lib":381,"./attributes":599}],604:[function(t,e,r){"use strict";var n={};n.attributes=t("./attributes"),n.supplyDefaults=t("./defaults"),n.colorbar=t("./colorbar"),n.calc=t("./calc"),n.plot=t("./convert"),n.moduleType="trace",n.name="surface",n.basePlotModule=t("../../plots/gl3d"),n.categories=["gl3d","noOpacity"],n.meta={},e.exports=n},{"../../plots/gl3d":439,"./attributes":599,"./calc":600,"./colorbar":601,"./convert":602,"./defaults":603}]},{},[12])(12)}); \ No newline at end of file diff --git a/inst/htmlwidgets/plotly.js b/inst/htmlwidgets/plotly.js index e9a3f90eda..3df60ef50d 100644 --- a/inst/htmlwidgets/plotly.js +++ b/inst/htmlwidgets/plotly.js @@ -27,11 +27,11 @@ HTMLWidgets.widget({ // if no plot exists yet, create one with a particular configuration if (!instance.plotly) { - Plotly.plot(graphDiv, x.data, x.layout, x.config); + var plot = Plotly.plot(graphDiv, x.data, x.layout, x.config); instance.plotly = true; instance.autosize = x.layout.autosize; } else { - Plotly.newPlot(graphDiv, x.data, x.layout); + var plot = Plotly.newPlot(graphDiv, x.data, x.layout); } sendEventData = function(eventType) { diff --git a/inst/htmlwidgets/plotly.yaml b/inst/htmlwidgets/plotly.yaml index a0fc88e332..b8704579d1 100644 --- a/inst/htmlwidgets/plotly.yaml +++ b/inst/htmlwidgets/plotly.yaml @@ -1,6 +1,6 @@ dependencies: - name: plotlyjs - version: 1.10.1 + version: 1.11.0 src: "htmlwidgets/lib/plotlyjs" script: plotly-latest.min.js stylesheet: plotly-htmlwidgets.css diff --git a/inst/plotlyjs.R b/inst/plotlyjs.R index c784098879..7837c8aafa 100644 --- a/inst/plotlyjs.R +++ b/inst/plotlyjs.R @@ -4,10 +4,17 @@ zip <- content(x)$zipball_url tmp <- tempfile(fileext = ".zip") download.file(zip, tmp) unzip(tmp) +# save trace types (mostly for error checking on the R side) +traces <- basename(Sys.glob("plotly-plotly.js*/src/traces/*")) +devtools::use_data(traces, overwrite = TRUE, internal = TRUE) +# TODO: figure out the _required_ properties of each trace type, store them +# as internal R data, and use them to provide error checking + +# update the plotly.js bundle p <- Sys.glob("plotly-plotly.js*/dist/plotly.min.js") file.copy(p, "inst/htmlwidgets/lib/plotlyjs/plotly-latest.min.js", overwrite = T) l <- Sys.glob("plotly-plotly.js*/LICENSE") file.copy(l, "inst/htmlwidgets/lib/plotlyjs/LICENSE", overwrite = T) unlink("plotly-plotly.js*", recursive = T) -# update plotly.yml with version +message("Manually update plotly.yaml with this version") basename(zip) diff --git a/man/add_trace.Rd b/man/add_trace.Rd index 756480adec..08d97d8f08 100644 --- a/man/add_trace.Rd +++ b/man/add_trace.Rd @@ -1,14 +1,13 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/plotly.R +% Please edit documentation in R/add.R \name{add_trace} \alias{add_trace} \title{Add a trace to a plotly visualization} \usage{ -add_trace(p = last_plot(), ..., group, color, colors, symbol, symbols, size, - data = NULL, evaluate = FALSE) +add_trace(p, ..., group, color, colors, symbol, symbols, size, data = NULL) } \arguments{ -\item{p}{A plotly object.} +\item{p}{a plotly or ggplot object.} \item{...}{These arguments are documented in the references section below. Note that acceptable arguments depend on the trace type.} @@ -31,8 +30,6 @@ or a color interpolation function like \code{colorRamp}.} \item{data}{A data frame to associate with this trace (optional). If not provided, arguments are evaluated using the data frame in \code{\link{plot_ly}()}.} - -\item{evaluate}{logical. Evaluate arguments when this function is called?} } \description{ Add a trace to a plotly visualization diff --git a/man/as.widget.Rd b/man/as.widget.Rd index 9f86bf8bfa..9a570a27fe 100644 --- a/man/as.widget.Rd +++ b/man/as.widget.Rd @@ -12,13 +12,7 @@ as.widget(x, ...) \item{...}{other options passed onto \code{htmlwidgets::createWidget}} } \description{ -Convert a plotly object to an htmlwidget object -} -\examples{ -\dontrun{ -p <- plot_ly(mtcars, x = mpg, y = disp, mode = "markers") -htmlwidgets::saveWidget(as.widget(p), "index.html") -} - +As of version 4.0.0, plotly objects are now htmlwidget objects, +so users shouldn't have to use this function directly. } diff --git a/man/config.Rd b/man/config.Rd index 93a44ac336..b345426433 100644 --- a/man/config.Rd +++ b/man/config.Rd @@ -1,10 +1,10 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/plotly.R +% Please edit documentation in R/layout.R \name{config} \alias{config} \title{Set the default configuration for plotly} \usage{ -config(p = last_plot(), ...) +config(p, ...) } \arguments{ \item{p}{a plotly object} diff --git a/man/export.Rd b/man/export.Rd new file mode 100644 index 0000000000..ca41ecb612 --- /dev/null +++ b/man/export.Rd @@ -0,0 +1,25 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/export.R +\name{export} +\alias{export} +\title{Export a plotly graph to a static file} +\usage{ +export(p, file = "plotly.png", ...) +} +\arguments{ +\item{p}{a plotly or ggplot object.} + +\item{file}{a filename. See the file argument of \code{webshot::webshot} +for valid extensions.} + +\item{...}{arguments passed onto \code{webshot::webshot}} +} +\description{ +Export a plotly graph to a static file +} +\examples{ +\dontrun{ +export(plot_ly(economics, x = ~date, y = ~pce)) +} +} + diff --git a/man/get_plot.Rd b/man/get_plot.Rd deleted file mode 100644 index 5fee59d6a4..0000000000 --- a/man/get_plot.Rd +++ /dev/null @@ -1,19 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/utils.R -\name{get_plot} -\alias{get_plot} -\title{Obtain underlying data of plotly object} -\usage{ -get_plot(data = NULL, last = FALSE) -} -\arguments{ -\item{data}{a data frame with a class of plotly (and a plotly_hash attribute).} - -\item{last}{if no plotly attribute is found, return the last plot or NULL?} -} -\description{ -Given a data frame with a class of plotly, this function returns the arguments -and/or data used to create the plotly. If no data frame is provided, -the last plotly object created in this R session is returned (if it exists). -} - diff --git a/man/knit_print.plotly_built.Rd b/man/knit_print.plotly_built.Rd deleted file mode 100644 index 67cb3f08cc..0000000000 --- a/man/knit_print.plotly_built.Rd +++ /dev/null @@ -1,19 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/print.R -\name{knit_print.plotly_built} -\alias{knit_print.plotly_built} -\title{Print a 'built' plotly object in a knitr doc} -\usage{ -knit_print.plotly_built(x, options, ...) -} -\arguments{ -\item{x}{a plotly object} - -\item{options}{knitr options.} - -\item{...}{additional arguments} -} -\description{ -Print a 'built' plotly object in a knitr doc -} - diff --git a/man/knit_print.figure.Rd b/man/knit_print.plotly_figure.Rd similarity index 79% rename from man/knit_print.figure.Rd rename to man/knit_print.plotly_figure.Rd index 25080ca060..d0a878a6af 100644 --- a/man/knit_print.figure.Rd +++ b/man/knit_print.plotly_figure.Rd @@ -1,10 +1,10 @@ % Generated by roxygen2: do not edit by hand % Please edit documentation in R/print.R -\name{knit_print.figure} -\alias{knit_print.figure} +\name{knit_print.plotly_figure} +\alias{knit_print.plotly_figure} \title{Embed a plotly figure as an iframe in a knitr doc} \usage{ -knit_print.figure(x, options, ...) +knit_print.plotly_figure(x, options, ...) } \arguments{ \item{x}{a plotly figure object} diff --git a/man/knit_print.plotly_hash.Rd b/man/knit_print.plotly_hash.Rd deleted file mode 100644 index 733c731c20..0000000000 --- a/man/knit_print.plotly_hash.Rd +++ /dev/null @@ -1,19 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/print.R -\name{knit_print.plotly_hash} -\alias{knit_print.plotly_hash} -\title{Print a plotly object in a knitr doc} -\usage{ -knit_print.plotly_hash(x, options, ...) -} -\arguments{ -\item{x}{a plotly object} - -\item{options}{knitr options.} - -\item{...}{additional arguments} -} -\description{ -Print a plotly object in a knitr doc -} - diff --git a/man/last_plot.Rd b/man/last_plot.Rd deleted file mode 100644 index f6e02286a1..0000000000 --- a/man/last_plot.Rd +++ /dev/null @@ -1,18 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/utils.R -\name{last_plot} -\alias{last_plot} -\title{Retrive and create the last plotly (or ggplot).} -\usage{ -last_plot(data = NULL) -} -\arguments{ -\item{data}{(optional) a data frame with a class of plotly (and a plotly_hash attribute).} -} -\description{ -Retrive and create the last plotly (or ggplot). -} -\seealso{ -\link{plotly_build} -} - diff --git a/man/layout.Rd b/man/layout.Rd index a774d16019..5983273923 100644 --- a/man/layout.Rd +++ b/man/layout.Rd @@ -1,10 +1,10 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/plotly.R +% Please edit documentation in R/layout.R \name{layout} \alias{layout} -\title{Add and/or modify layout of a plotly} +\title{Modify the layout of a plotly visualization} \usage{ -layout(p = last_plot(), ..., data = NULL, evaluate = FALSE) +layout(p, ..., data = NULL) } \arguments{ \item{p}{A plotly object.} @@ -14,11 +14,9 @@ see \url{https://plot.ly/r/reference/#Layout_and_layout_style_objects}} \item{data}{A data frame to associate with this layout (optional). If not provided, arguments are evaluated using the data frame in \code{\link{plot_ly}()}.} - -\item{evaluate}{logical. Evaluate arguments when this function is called?} } \description{ -Add and/or modify layout of a plotly +Modify the layout of a plotly visualization } \author{ Carson Sievert diff --git a/man/plot_ly.Rd b/man/plot_ly.Rd index 974c248fcd..7cb84ca96b 100644 --- a/man/plot_ly.Rd +++ b/man/plot_ly.Rd @@ -4,9 +4,9 @@ \alias{plot_ly} \title{Initiate a plotly visualization} \usage{ -plot_ly(data = data.frame(), ..., type = "scatter", group, color, colors, - symbol, symbols, size, width = NULL, height = NULL, inherit = FALSE, - evaluate = FALSE, source = "A") +plot_ly(data = data.frame(), ..., type = NULL, group, color, colors, symbol, + symbols, size, width = NULL, height = NULL, inherit = FALSE, + source = "A") } \arguments{ \item{data}{A data frame (optional).} @@ -38,8 +38,6 @@ or a color interpolation function like \code{colorRamp()}.} \item{inherit}{logical. Should future traces inherit properties from this initial trace?} -\item{evaluate}{logical. Evaluate arguments when this function is called?} - \item{source}{Only relevant for \link{event_data}.} } \description{ @@ -53,10 +51,9 @@ Reference section (see below). \dontrun{ data(economics, package = "ggplot2") # basic time-series plot -p <- plot_ly(economics, x = date, y = uempmed, type = "scatter", - showlegend = FALSE) +p <- plot_ly(economics, x = ~date, y = ~uempmed, inherit = TRUE) # add a loess smoother -p2 <- add_trace(p, y = fitted(loess(uempmed ~ as.numeric(date)))) +p2 <- add_trace(p, y = ~fitted(loess(uempmed ~ as.numeric(date)))) # add a title p3 <- layout(p2, title = "Median duration of unemployment (in weeks)") # change the font @@ -73,17 +70,24 @@ decade <- function(x) { } plot_ly(economics, x = unemploy / pop, color = decade(date), type = "box") -# plotly loves pipelines -economics \%>\% - transform(rate = unemploy / pop) \%>\% - plot_ly(x = date, y = rate) \%>\% - loess(rate ~ as.numeric(date), data = .) \%>\% - broom::augment() \%>\% +# monads::`\%>>\%` enables data-plot-pipelines + +plot_ly(mtcars, x = ~wt, y = ~mpg) + + +economics \%>>\% + transform(rate = unemploy / pop) \%>>\% + + \%>\% + \%>>\% + loess(rate ~ as.numeric(date), data = .) \%>>\% + broom::augment() \%>>\% add_trace(y = .fitted) # sometimes, a data frame isn't fit for the use case... # for 3D surface plots, a numeric matrix is more natural plot_ly(z = volcano, type = "surface") + } } diff --git a/man/plotly_build.Rd b/man/plotly_build.Rd index b074b94518..2e7bbe6bf7 100644 --- a/man/plotly_build.Rd +++ b/man/plotly_build.Rd @@ -1,13 +1,13 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/plotly.R +% Please edit documentation in R/plotly_build.R \name{plotly_build} \alias{plotly_build} -\title{Create a 'plotly_built' object} +\title{'Build' (i.e., evaluate) a plotly object} \usage{ -plotly_build(l = last_plot()) +plotly_build(p) } \arguments{ -\item{l}{a ggplot object, or a plotly_hash object, or a list.} +\item{p}{a ggplot object, or a plotly object, or a list.} } \description{ This generic function creates the list object sent to plotly.js @@ -17,17 +17,17 @@ errors. } \examples{ -p <- plot_ly() -# data frame -str(p) +p <- plot_ly(economics, x = ~date, y = ~pce) +# a plotly visualization object +str(p$x$data) # the actual list of options sent to plotly.js str(plotly_build(p)) p <- qplot(data = mtcars, wt, mpg, geom = c("point", "smooth")) l <- plotly_build(p) # turn off hoverinfo for the smooth (but keep it for the points) -l$data[[2]]$hoverinfo <- "none" -l$data[[3]]$hoverinfo <- "none" +l$x$data[[2]]$hoverinfo <- "none" +l$x$data[[3]]$hoverinfo <- "none" l } diff --git a/man/plotly_empty.Rd b/man/plotly_empty.Rd index 285d721321..0177e2994f 100644 --- a/man/plotly_empty.Rd +++ b/man/plotly_empty.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/plotly.R +% Please edit documentation in R/helpers.R \name{plotly_empty} \alias{plotly_empty} \title{Create a complete empty plotly graph.} diff --git a/man/plotly_spec.Rd b/man/plotly_spec.Rd new file mode 100644 index 0000000000..45172be8ab --- /dev/null +++ b/man/plotly_spec.Rd @@ -0,0 +1,24 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/helpers.R +\name{plotly_spec} +\alias{plotly_spec} +\title{Obtain JSON sent to plotly.js} +\usage{ +plotly_spec(p = plot_ly(), as = c("plain", "json"), ...) +} +\arguments{ +\item{p}{a plotly or ggplot object.} + +\item{as}{in what format should the spec be printed?} + +\item{...}{arguments passed onto \code{jsonlite::toJSON}} +} +\description{ +This function returns the JSON sent to plotly.js which can be useful for +debugging. +} +\examples{ + +plotly_spec(plot_ly(), as = "json", pretty = TRUE) +} + diff --git a/man/print.plotly_built.Rd b/man/print.plotly_built.Rd deleted file mode 100644 index 664df2cf35..0000000000 --- a/man/print.plotly_built.Rd +++ /dev/null @@ -1,17 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/print.R -\name{print.plotly_built} -\alias{print.plotly_built} -\title{Print a 'built' plotly object} -\usage{ -\method{print}{plotly_built}(x, ...) -} -\arguments{ -\item{x}{a plotly object} - -\item{...}{additional arguments} -} -\description{ -Print a 'built' plotly object -} - diff --git a/man/print.figure.Rd b/man/print.plotly_figure.Rd similarity index 75% rename from man/print.figure.Rd rename to man/print.plotly_figure.Rd index 44754f456d..2ea4bc7b86 100644 --- a/man/print.figure.Rd +++ b/man/print.plotly_figure.Rd @@ -1,10 +1,10 @@ % Generated by roxygen2: do not edit by hand % Please edit documentation in R/print.R -\name{print.figure} -\alias{print.figure} +\name{print.plotly_figure} +\alias{print.plotly_figure} \title{Print a plotly figure object} \usage{ -\method{print}{figure}(x, ...) +\method{print}{plotly_figure}(x, ...) } \arguments{ \item{x}{a plotly figure object} diff --git a/man/print.plotly_hash.Rd b/man/print.plotly_hash.Rd deleted file mode 100644 index b595b37c34..0000000000 --- a/man/print.plotly_hash.Rd +++ /dev/null @@ -1,17 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/print.R -\name{print.plotly_hash} -\alias{print.plotly_hash} -\title{Print a plotly object} -\usage{ -\method{print}{plotly_hash}(x, ...) -} -\arguments{ -\item{x}{a plotly object} - -\item{...}{additional arguments} -} -\description{ -Print a plotly object -} - diff --git a/man/style.Rd b/man/style.Rd index ad01f1ec6f..bbf21d7963 100644 --- a/man/style.Rd +++ b/man/style.Rd @@ -1,10 +1,10 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/plotly.R +% Please edit documentation in R/layout.R \name{style} \alias{style} \title{Modify trace(s)} \usage{ -style(p = last_plot(), ..., traces = 1, evaluate = FALSE) +style(p, ..., traces = 1) } \arguments{ \item{p}{A plotly visualization.} @@ -12,8 +12,6 @@ style(p = last_plot(), ..., traces = 1, evaluate = FALSE) \item{...}{Visual properties.} \item{traces}{numeric vector. Which traces should be modified?} - -\item{evaluate}{logical. Evaluate arguments when this function is called?} } \description{ Modify trace(s) of an existing plotly visualization. Useful when used in diff --git a/man/toWebGL.Rd b/man/toWebGL.Rd new file mode 100644 index 0000000000..082fb79e09 --- /dev/null +++ b/man/toWebGL.Rd @@ -0,0 +1,25 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/helpers.R +\name{toWebGL} +\alias{toWebGL} +\title{Convert trace types to WebGL} +\usage{ +toWebGL(p, warn = TRUE) +} +\arguments{ +\item{p}{a plotly or ggplot object.} + +\item{warn}{should a warning be produced if the trace type doesn't have +a WebGL equivalent?} +} +\description{ +This function will also build +} +\examples{ + +# currently no bargl trace type +toWebGL(qplot(1:10)) +toWebGL(qplot(1:10, 1:10)) + +} + From c1c0ec9be9a97796d56facde166674d2f3d8a3cb Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Thu, 26 May 2016 19:11:23 +1000 Subject: [PATCH 02/73] make group2NA simpler and reusable --- R/dplyr.R | 31 +++++++++++++++++++++++++++++++ R/layers2traces.R | 43 ------------------------------------------- 2 files changed, 31 insertions(+), 43 deletions(-) create mode 100644 R/dplyr.R diff --git a/R/dplyr.R b/R/dplyr.R new file mode 100644 index 0000000000..a6dd25ad05 --- /dev/null +++ b/R/dplyr.R @@ -0,0 +1,31 @@ +#' Insert missing values to create trace groupings +#' +#' If a group of traces share the same non-positional characteristics (i.e., +#' color, fill, etc), it is more efficient to draw them as a single trace +#' with missing values that separate the groups (instead of multiple traces). +#' This is a helper function for inserting missing values into a data set +#' +#' @param data a data frame. +#' @param groupName the name of the grouping variable as a character string +#' @param nested other variables that group should be nested +#' (i.e., ordered) within. +#' @param retrace.first should the first row of each group be appended to the +#' last row? This is useful for enclosing polygons with lines. +#' @examples +#' elong <- tidyr::gather(economics, variable, value, -date) +#' plot_ly(group2NA(elong, "variable"), x = ~date, y = ~value) +#' + +group2NA <- function(data, groupName = "group", nested = NULL, + retrace.first = inherits(data, "GeomPolygon")) { + if (nrow(data) == 0 || any(!groupName %in% names(data))) return(data) + nested <- nested[nested %in% names(data)] + data <- data[do.call(order, data[c(nested, groupName)]), , drop = FALSE] + s <- split(data, data[[groupName]], drop = TRUE) + f <- if (retrace.first) { + function(x) rbind(x, x[1, , drop = FALSE], NA) + } else { + function(x) rbind(x, NA) + } + dplyr::bind_rows(lapply(s, f)) +} diff --git a/R/layers2traces.R b/R/layers2traces.R index ff7890c0b2..13042c09b6 100644 --- a/R/layers2traces.R +++ b/R/layers2traces.R @@ -585,49 +585,6 @@ geom2trace.default <- function(data, params, p) { # Utility functions # -------------------------------------------------------------------------- -# Drawing ggplot2 geoms with a group aesthetic is most efficient in -# plotly when we convert groups of things that look the same to -# vectors with NA. -group2NA <- function(data) { - if (!"group" %in% names(data)) return(data) - poly.list <- split(data, data$group, drop = TRUE) - is.group <- names(data) == "group" - poly.na.list <- list() - forward.i <- seq_along(poly.list) - ## When group2NA is called on geom_polygon (or geom_rect, which is - ## treated as a basic polygon), we need to retrace the first points - ## of each group, see https://github.com/ropensci/plotly/pull/178 - retrace.first.points <- inherits(data, "GeomPolygon") - for (i in forward.i) { - no.group <- poly.list[[i]][, !is.group, drop = FALSE] - na.row <- no.group[1, ] - na.row[, c("x", "y")] <- NA - retrace.first <- if (retrace.first.points) { - no.group[1,] - } - poly.na.list[[paste(i, "forward")]] <- - rbind(no.group, retrace.first, na.row) - } - if (retrace.first.points) { - backward.i <- rev(forward.i[-1])[-1] - for (i in backward.i) { - no.group <- poly.list[[i]][1, !is.group, drop = FALSE] - na.row <- no.group[1, ] - na.row[, c("x", "y")] <- NA - poly.na.list[[paste(i, "backward")]] <- rbind(no.group, na.row) - } - if (length(poly.list) > 1) { - first.group <- poly.list[[1]][1, !is.group, drop = FALSE] - poly.na.list[["last"]] <- rbind(first.group, first.group) - } - } - data <- do.call(rbind, poly.na.list) - if (is.na(data$x[nrow(data)])) { - data <- data[-nrow(data), ] - } - data -} - # given a geom, should we split on any continuous variables? # this is necessary for some geoms, for example, polygons # since plotly.js can't draw two polygons with different fill in a single trace From d9c479d45d2d5f7480b4839854fea0ebc4a04995 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Fri, 27 May 2016 11:13:27 +1000 Subject: [PATCH 03/73] fixes for style(), group2NA(), import dplyr --- DESCRIPTION | 4 ++-- NAMESPACE | 1 + R/add.R | 6 ++++++ R/dplyr.R | 22 ++++++++++++++++------ R/ggplotly.R | 3 ++- R/layout.R | 19 ------------------- R/plotly.R | 1 - R/plotly_build.R | 14 +++----------- R/style.R | 32 ++++++++++++++++++++++++++++++++ man/group2NA.Rd | 32 ++++++++++++++++++++++++++++++++ man/plot_ly.Rd | 1 - man/plotly_build.Rd | 13 +++---------- man/style.Rd | 6 ++++++ 13 files changed, 103 insertions(+), 51 deletions(-) create mode 100644 R/style.R create mode 100644 man/group2NA.Rd diff --git a/DESCRIPTION b/DESCRIPTION index c328c1bd7c..11a7f8987b 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -31,9 +31,9 @@ Imports: base64enc, htmlwidgets, tidyr, - hexbin, -Suggests: dplyr, + hexbin +Suggests: maps, ggthemes, GGally, diff --git a/NAMESPACE b/NAMESPACE index 1322fb13ae..1ebbc564a7 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -46,6 +46,7 @@ S3method(to_basic,default) export("%>%") export(add_lines) export(add_points) +export(add_polygons) export(add_text) export(add_trace) export(as.widget) diff --git a/R/add.R b/R/add.R index 550aecd893..859946b865 100644 --- a/R/add.R +++ b/R/add.R @@ -59,3 +59,9 @@ add_text <- function(p, ...) { add_trace(p, type = "scatter", mode = "text", ...) } +#' @export +add_polygons <- function(p, ...) { + # TODO: Should mode='markers+lines'? If so, retrace first points? + add_trace(p, type = "scatter", mode = "none", fill = "toself", ...) +} + diff --git a/R/dplyr.R b/R/dplyr.R index a6dd25ad05..55d75874e5 100644 --- a/R/dplyr.R +++ b/R/dplyr.R @@ -6,7 +6,7 @@ #' This is a helper function for inserting missing values into a data set #' #' @param data a data frame. -#' @param groupName the name of the grouping variable as a character string +#' @param groupNames name(s) of the grouping variable(s) as a character vector #' @param nested other variables that group should be nested #' (i.e., ordered) within. #' @param retrace.first should the first row of each group be appended to the @@ -16,16 +16,26 @@ #' plot_ly(group2NA(elong, "variable"), x = ~date, y = ~value) #' -group2NA <- function(data, groupName = "group", nested = NULL, +group2NA <- function(data, groupNames = "group", nested = NULL, retrace.first = inherits(data, "GeomPolygon")) { - if (nrow(data) == 0 || any(!groupName %in% names(data))) return(data) + if (nrow(data) == 0) return(data) + idx <- groupNames %in% names(data) + if (any(!idx)) { + message( + "Couldn't group by the following columns:", + paste(groupNames[!idx], collapse = ", ") + ) + groupNames <- groupNames[idx] + } nested <- nested[nested %in% names(data)] - data <- data[do.call(order, data[c(nested, groupName)]), , drop = FALSE] - s <- split(data, data[[groupName]], drop = TRUE) + data <- data[do.call(order, data[c(nested, groupNames)]), , drop = FALSE] + + s <- split(data, data[groupNames], drop = TRUE) f <- if (retrace.first) { function(x) rbind(x, x[1, , drop = FALSE], NA) } else { function(x) rbind(x, NA) } - dplyr::bind_rows(lapply(s, f)) + d <- dplyr::bind_rows(lapply(s, f)) + structure(d, class = unique(class(data), class(d))) } diff --git a/R/ggplotly.R b/R/ggplotly.R index 8fab417eb4..cde683a17a 100644 --- a/R/ggplotly.R +++ b/R/ggplotly.R @@ -840,7 +840,8 @@ bold <- function(x) paste("", x, "") italic <- function(x) paste("", x, "") # if a vector has one unique value, return that value -uniq <- function(x) { +uniq <- function(x, na.rm = TRUE) { + if (na.rm) x <- x[!is.na(x)] u <- unique(x) if (length(u) == 1) u else x } diff --git a/R/layout.R b/R/layout.R index 9b0fd254f5..d0fe9c445e 100644 --- a/R/layout.R +++ b/R/layout.R @@ -45,22 +45,3 @@ config <- function(p, ...) { p$x$config[[nConfig + 1]] <- list(...) p } - -#' Modify trace(s) -#' -#' Modify trace(s) of an existing plotly visualization. Useful when used in -#' conjunction with \code{\link{get_figure}()}. -#' -#' @param p A plotly visualization. -#' @param ... Visual properties. -#' @param traces numeric vector. Which traces should be modified? -#' @seealso \code{\link{get_figure}()} -#' @author Carson Sievert -#' @export -style <- function(p, ..., traces = 1) { - p <- plotly_build(p) - idx <- traces >= length(p$x$data) - if (any(idx)) warning("You've referenced non-existent traces", call. = FALSE) - p$x$style <- c(p$x$style, list(...)) - p -} diff --git a/R/plotly.R b/R/plotly.R index 4392013e0e..f31fcd88db 100644 --- a/R/plotly.R +++ b/R/plotly.R @@ -49,7 +49,6 @@ #' } #' plot_ly(economics, x = unemploy / pop, color = decade(date), type = "box") #' -#' # monads::`%>>%` enables data-plot-pipelines #' #' plot_ly(mtcars, x = ~wt, y = ~mpg) #' diff --git a/R/plotly_build.R b/R/plotly_build.R index 73c0532a8c..7af9dcd25d 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -1,6 +1,5 @@ #' 'Build' (i.e., evaluate) a plotly object #' -#' #' This generic function creates the list object sent to plotly.js #' for rendering. Using this function can be useful for overriding defaults #' provided by \code{ggplotly}/\code{plot_ly} or for debugging rendering @@ -11,17 +10,10 @@ #' @examples #' #' p <- plot_ly(economics, x = ~date, y = ~pce) -#' # a plotly visualization object +#' # the unevaluated data #' str(p$x$data) -#' # the actual list of options sent to plotly.js -#' str(plotly_build(p)) -#' -#' p <- qplot(data = mtcars, wt, mpg, geom = c("point", "smooth")) -#' l <- plotly_build(p) -#' # turn off hoverinfo for the smooth (but keep it for the points) -#' l$x$data[[2]]$hoverinfo <- "none" -#' l$x$data[[3]]$hoverinfo <- "none" -#' l +#' # the evaluated data +#' str(plotly_build(p)$x$data) #' plotly_build <- function(p) { UseMethod("plotly_build") diff --git a/R/style.R b/R/style.R new file mode 100644 index 0000000000..88524e3d27 --- /dev/null +++ b/R/style.R @@ -0,0 +1,32 @@ + +#' Modify trace(s) +#' +#' Modify trace(s) of an existing plotly visualization. Useful when used in +#' conjunction with \code{\link{get_figure}()}. +#' +#' @param p A plotly visualization. +#' @param ... Visual properties. +#' @param traces numeric vector. Which traces should be modified? +#' @seealso \code{\link{get_figure}()} +#' @author Carson Sievert +#' @export +#' @examples +#' +#' p <- qplot(data = mtcars, wt, mpg, geom = c("point", "smooth")) +#' # keep the hover info for points, but remove it for the line/ribbon +#' style(p, hoverinfo = "none", traces = c(2, 3)) +#' +style <- function(p, ..., traces = 1) { + p <- plotly_build(p) + nTraces <- length(p$x$data) + idx <- traces > nTraces + traces <- traces[!idx] + if (any(idx)) warning("You've referenced non-existent traces", call. = FALSE) + argz <- list(...) + for (i in traces) { + for (j in names(argz)) { + p$x$data[[i]][[j]] <- argz[[j]] + } + } + p +} diff --git a/man/group2NA.Rd b/man/group2NA.Rd new file mode 100644 index 0000000000..fda6a88d45 --- /dev/null +++ b/man/group2NA.Rd @@ -0,0 +1,32 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/dplyr.R +\name{group2NA} +\alias{group2NA} +\title{Insert missing values to create trace groupings} +\usage{ +group2NA(data, groupName = "group", nested = NULL, + retrace.first = inherits(data, "GeomPolygon")) +} +\arguments{ +\item{data}{a data frame.} + +\item{groupName}{the name of the grouping variable as a character string} + +\item{nested}{other variables that group should be nested +(i.e., ordered) within.} + +\item{retrace.first}{should the first row of each group be appended to the +last row? This is useful for enclosing polygons with lines.} +} +\description{ +If a group of traces share the same non-positional characteristics (i.e., +color, fill, etc), it is more efficient to draw them as a single trace +with missing values that separate the groups (instead of multiple traces). +This is a helper function for inserting missing values into a data set +} +\examples{ +elong <- tidyr::gather(economics, variable, value, -date) +plot_ly(group2NA(elong, "variable"), x = ~date, y = ~value) + +} + diff --git a/man/plot_ly.Rd b/man/plot_ly.Rd index 7cb84ca96b..c63257ce6a 100644 --- a/man/plot_ly.Rd +++ b/man/plot_ly.Rd @@ -70,7 +70,6 @@ decade <- function(x) { } plot_ly(economics, x = unemploy / pop, color = decade(date), type = "box") -# monads::`\%>>\%` enables data-plot-pipelines plot_ly(mtcars, x = ~wt, y = ~mpg) diff --git a/man/plotly_build.Rd b/man/plotly_build.Rd index 2e7bbe6bf7..7808dd6db1 100644 --- a/man/plotly_build.Rd +++ b/man/plotly_build.Rd @@ -18,17 +18,10 @@ errors. \examples{ p <- plot_ly(economics, x = ~date, y = ~pce) -# a plotly visualization object +# the unevaluated data str(p$x$data) -# the actual list of options sent to plotly.js -str(plotly_build(p)) - -p <- qplot(data = mtcars, wt, mpg, geom = c("point", "smooth")) -l <- plotly_build(p) -# turn off hoverinfo for the smooth (but keep it for the points) -l$x$data[[2]]$hoverinfo <- "none" -l$x$data[[3]]$hoverinfo <- "none" -l +# the evaluated data +str(plotly_build(p)$x$data) } diff --git a/man/style.Rd b/man/style.Rd index bbf21d7963..67f1cdafab 100644 --- a/man/style.Rd +++ b/man/style.Rd @@ -16,6 +16,12 @@ style(p, ..., traces = 1) \description{ Modify trace(s) of an existing plotly visualization. Useful when used in conjunction with \code{\link{get_figure}()}. +} +\examples{ + +p <- qplot(data = mtcars, wt, mpg, geom = c("point", "smooth")) +style(p, hoverinfo = "none", traces = c(2, 3)) + } \author{ Carson Sievert From ba0aa50d9641cbc9f6d3e4545376086e13ebfe0e Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Fri, 27 May 2016 11:36:14 +1000 Subject: [PATCH 04/73] dplyrify group2NA (now much, much faster) --- NAMESPACE | 4 ++++ R/dplyr.R | 24 ++++++++---------------- R/imports.R | 3 ++- man/group2NA.Rd | 4 ++-- man/style.Rd | 3 ++- 5 files changed, 18 insertions(+), 20 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index 1ebbc564a7..dbeab0ecb4 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -78,6 +78,9 @@ export(toWebGL) export(to_basic) import(ggplot2) importFrom(base64enc,base64encode) +importFrom(dplyr,arrange_) +importFrom(dplyr,do) +importFrom(dplyr,group_by_) importFrom(grDevices,col2rgb) importFrom(graphics,layout) importFrom(htmlwidgets,createWidget) @@ -101,6 +104,7 @@ importFrom(magrittr,"%>%") importFrom(stats,complete.cases) importFrom(stats,setNames) importFrom(tidyr,gather) +importFrom(tidyr,unnest) importFrom(utils,browseURL) importFrom(utils,data) importFrom(utils,getFromNamespace) diff --git a/R/dplyr.R b/R/dplyr.R index 55d75874e5..5c34d034e0 100644 --- a/R/dplyr.R +++ b/R/dplyr.R @@ -19,23 +19,15 @@ group2NA <- function(data, groupNames = "group", nested = NULL, retrace.first = inherits(data, "GeomPolygon")) { if (nrow(data) == 0) return(data) - idx <- groupNames %in% names(data) - if (any(!idx)) { - message( - "Couldn't group by the following columns:", - paste(groupNames[!idx], collapse = ", ") - ) - groupNames <- groupNames[idx] - } nested <- nested[nested %in% names(data)] - data <- data[do.call(order, data[c(nested, groupNames)]), , drop = FALSE] - - s <- split(data, data[groupNames], drop = TRUE) - f <- if (retrace.first) { - function(x) rbind(x, x[1, , drop = FALSE], NA) + if (length(nested)) { + data <- dplyr::arrange_(data, nested) + } + d <- dplyr::group_by_(data, groupNames) + d <- if (retrace.first) { + dplyr::do(d, rbind(., .[1,], NA)) } else { - function(x) rbind(x, NA) + dplyr::do(d, rbind(., NA)) } - d <- dplyr::bind_rows(lapply(s, f)) - structure(d, class = unique(class(data), class(d))) + structure(tidyr::unnest(d), class = unique(class(data), class(d))) } diff --git a/R/imports.R b/R/imports.R index 3f1295e74c..9ea0951f41 100644 --- a/R/imports.R +++ b/R/imports.R @@ -3,7 +3,8 @@ #' @importFrom graphics layout #' @importFrom utils getFromNamespace modifyList data packageVersion browseURL #' @importFrom stats setNames complete.cases -#' @importFrom tidyr gather +#' @importFrom tidyr gather unnest +#' @importFrom dplyr arrange_ group_by_ do #' @importFrom viridis viridis #' @importFrom jsonlite toJSON fromJSON #' @importFrom httr GET POST PATCH content config add_headers stop_for_status diff --git a/man/group2NA.Rd b/man/group2NA.Rd index fda6a88d45..19e37adbb4 100644 --- a/man/group2NA.Rd +++ b/man/group2NA.Rd @@ -4,13 +4,13 @@ \alias{group2NA} \title{Insert missing values to create trace groupings} \usage{ -group2NA(data, groupName = "group", nested = NULL, +group2NA(data, groupNames = "group", nested = NULL, retrace.first = inherits(data, "GeomPolygon")) } \arguments{ \item{data}{a data frame.} -\item{groupName}{the name of the grouping variable as a character string} +\item{groupNames}{name(s) of the grouping variable(s) as a character vector} \item{nested}{other variables that group should be nested (i.e., ordered) within.} diff --git a/man/style.Rd b/man/style.Rd index 67f1cdafab..f3998f7d45 100644 --- a/man/style.Rd +++ b/man/style.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/layout.R +% Please edit documentation in R/style.R \name{style} \alias{style} \title{Modify trace(s)} @@ -20,6 +20,7 @@ conjunction with \code{\link{get_figure}()}. \examples{ p <- qplot(data = mtcars, wt, mpg, geom = c("point", "smooth")) +# keep the hover info for points, but remove it for the line/ribbon style(p, hoverinfo = "none", traces = c(2, 3)) } From 6bce1b8993b57c5ba6feb684ac6215589bcffb80 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Fri, 27 May 2016 16:54:19 +1000 Subject: [PATCH 05/73] first implementation of dplyr methods (thanks ggvis) --- NAMESPACE | 16 ++++ NEWS | 10 +-- R/add.R | 29 ++++-- R/dplyr.R | 125 +++++++++++++++++++++++++- R/ggplotly.R | 2 +- R/layers2traces.R | 2 +- R/layout.R | 8 +- R/plotly.R | 38 +++----- R/plotly_build.R | 67 +++++++------- R/subplots.R | 4 +- R/utils.R | 13 ++- inst/htmlwidgets/plotly.js | 1 + man/add_data.Rd | 21 +++++ man/dplyr-plotly.Rd | 41 +++++++++ man/group_by.Rd | 18 ++++ man/plot_ly.Rd | 19 +--- man/plotly-ggvis.Rd | 18 ++++ man/plotly_build.Rd | 4 +- tests/testthat.R | 2 +- tests/testthat/test-ggplot-polygons.R | 28 +++--- tests/testthat/test-ggplot-rect.R | 84 +++++++---------- tests/testthat/test-ggplot-tooltip.R | 4 +- tests/testthat/test-ggplot-violin.R | 2 +- tests/testthat/test-plotly-subplot.R | 2 +- 24 files changed, 384 insertions(+), 174 deletions(-) create mode 100644 man/add_data.Rd create mode 100644 man/dplyr-plotly.Rd create mode 100644 man/group_by.Rd create mode 100644 man/plotly-ggvis.Rd diff --git a/NAMESPACE b/NAMESPACE index dbeab0ecb4..65b3806439 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,5 +1,8 @@ # Generated by roxygen2: do not edit by hand +S3method(arrange_,plotly) +S3method(distinct_,plotly) +S3method(filter_,plotly) S3method(geom2trace,GeomBar) S3method(geom2trace,GeomBlank) S3method(geom2trace,GeomBoxplot) @@ -13,11 +16,19 @@ S3method(geom2trace,GeomTile) S3method(geom2trace,default) S3method(ggplotly,ggmatrix) S3method(ggplotly,ggplot) +S3method(group_by_,plotly) +S3method(groups,plotly) S3method(layout,matrix) S3method(layout,plotly) +S3method(mutate_,plotly) +S3method(plotly_build,default) S3method(plotly_build,gg) S3method(plotly_build,plotly) S3method(print,plotly_figure) +S3method(rename_,plotly) +S3method(select_,plotly) +S3method(slice_,plotly) +S3method(summarise_,plotly) S3method(to_basic,GeomAbline) S3method(to_basic,GeomArea) S3method(to_basic,GeomBoxplot) @@ -43,7 +54,10 @@ S3method(to_basic,GeomTile) S3method(to_basic,GeomViolin) S3method(to_basic,GeomVline) S3method(to_basic,default) +S3method(transmute_,plotly) +S3method(ungroup,plotly) export("%>%") +export(add_data) export(add_lines) export(add_points) export(add_polygons) @@ -58,6 +72,7 @@ export(geom2trace) export(get_figure) export(gg2list) export(ggplotly) +export(group_by) export(knit_print.plotly_figure) export(layout) export(offline) @@ -80,6 +95,7 @@ import(ggplot2) importFrom(base64enc,base64encode) importFrom(dplyr,arrange_) importFrom(dplyr,do) +importFrom(dplyr,group_by) importFrom(dplyr,group_by_) importFrom(grDevices,col2rgb) importFrom(graphics,layout) diff --git a/NEWS b/NEWS index 20b583569c..51fe6cc1d3 100644 --- a/NEWS +++ b/NEWS @@ -3,7 +3,8 @@ MAJOR CHANGES & IMPROVEMENTS: * Formulas (instead of plain expressions) are now required when referring to variable names. For example, `plot_ly(mtcars, x = wt, y = mpg, color = vs)` should now be `plot_ly(mtcars, x = ~wt, y = ~mpg, color = ~vs)`. This is a major breaking change, but it is necessary to ensure that evaluation is correct in all contexts (as a result, `evaluate` argument is now deprecated). It also has the benefit of being easier to program with (i.e., writing your own custom functions that wrap `plot_ly()`). For more details, see the [lazyeval vignette](https://github.com/hadley/lazyeval/blob/master/vignettes/lazyeval.Rmd) -* The central object (i.e., the return value and first argument to functions) is now an htmlwidget object (instead of a data frame with a special attribute tracking visual mappings). As a result, plotly objects can now be serialized across R sessions and avoid [memory leak issues](https://github.com/rstudio/shiny/issues/1151). This also implies that arbitrary data manipulation functions can no longer be intermingled inside a plot pipeline, but plotly methods for dplyr's data manipulation verbs are now provided. +* The central object (i.e., the return value and first argument to functions) is now an htmlwidget object (instead of a data frame with a special attribute tracking visual mappings). As a result, plotly objects can now be serialized across R sessions and avoid [memory leak issues](https://github.com/rstudio/shiny/issues/1151). This also implies that arbitrary data manipulation functions can no longer be intermingled inside a plot pipeline, but plotly methods for dplyr's data manipulation verbs are now provided (see `help("dplyr-plotly")` for more details). +* Using the `group` argument (or now, equivalently, the `group_by()` method) will no longer create multiple traces, but instead inserts "gaps" into a given trace via missing values (fixes #418, #381, #577). NEW FEATURES & IMPROVEMENTS: @@ -11,10 +12,9 @@ NEW FEATURES & IMPROVEMENTS: * Error checking for trace types. * New `add_points()`/`add_lines()`/`add_text()` functions provide a shorthand for common plots. * New `toWebGL()` function for easy conversion from SVG to WebGL. -* New `export()` function makes it easy to save plots as png/jpeg/pdf. -* `layout()` is now a generic function and uses method dispatch to avoid conflicts with graphics:layout(). -* Added a `plotly_json()` function to help - +* New `export()` function makes it easy to save plots as png/jpeg/pdf (fixes #311). +* `layout()` is now a generic function and uses method dispatch to avoid conflicts with `graphics:layout()` (fixes #464). +* Added a `plotly_spec()` function for inspecting the data sent to plotly.js (as an R list or JSON). diff --git a/R/add.R b/R/add.R index 859946b865..ed958103c1 100644 --- a/R/add.R +++ b/R/add.R @@ -1,3 +1,21 @@ +#' Add data to a plotly visualization +#' +#' @param p a plotly visualization +#' @param data a data frame. +#' @export +#' @examples +#' +#' NULL %>% plot_ly() %>% add_data(economics) %>% add_trace(x = ~date, y = ~pce) +add_data <- function(p, data = NULL) { + if (is.null(data)) return(p) + p <- verify_plot(p) + id <- new_id() + p$x$visdat[[id]] <- function() data + p$x$cur_data <- id + # TODO: should this also override the data used for the most recent trace? + p +} + #' Add a trace to a plotly visualization #' #' @param p a plotly or ggplot object. @@ -21,7 +39,6 @@ #' @export add_trace <- function(p, ..., group, color, colors, symbol, symbols, size, data = NULL) { - p <- verify_plot(p) # "native" plotly arguments argz <- list(...) # tack on "special" arguments @@ -31,16 +48,10 @@ add_trace <- function(p, ..., if (!missing(symbol)) argz$symbol <- substitute(symbol) if (!missing(symbols)) argz$symbols <- substitute(symbols) if (!missing(size)) argz$size <- substitute(size) - argz$type <- verify_type(argz$type) - nTraces <- length(p$x$data) - - p$x$data[[nTraces + 1]] <- list( - attrs = argz, - rdata = data %||% p$x$data[[1]]$rdata - ) - + p <- add_data(p, data) + p$x$attrs[[p$x$cur_data]] <- argz p } diff --git a/R/dplyr.R b/R/dplyr.R index 5c34d034e0..f0b9f3ccd3 100644 --- a/R/dplyr.R +++ b/R/dplyr.R @@ -1,3 +1,123 @@ +#' Dplyr verbs for plotly. +#' +#' @name plotly-ggvis +#' @keywords internal +#' @examples +#' +#' library(dplyr) +#' plot_ly(mtcars, x = ~wt, y = ~mpg) %>% +#' filter(cyl == 4) %>% +#' add_points() +#' +NULL + +#' Divide data into groups. +#' +#' @param p a plotly visualization. +#' @param ... variables to group by. +#' @param add By default, when \code{add = FALSE}, \code{group_by} will +#' override existing groups. To instead add to the existing groups, +#' use \code{add = TRUE} +#' @importFrom dplyr group_by +#' @name group_by +#' @export +NULL + +#' @export +#' @rdname dplyr-plotly +groups.plotly <- function(x) { + dplyr::groups(plotly_data(x)) +} + +#' @export +#' @rdname dplyr-plotly +group_by_.plotly <- function(.data, ..., .dots, add = FALSE) { + d <- plotly_data(.data) + d <- dplyr::group_by_(d, .dots = lazyeval::all_dots(.dots, ...), add = add) + # TODO: where to use group2NA? In plotly_build() + add_data(.data, d) +} + +#' @export +#' @rdname dplyr-plotly +ungroup.plotly <- function(x) { + dplyr::ungroup(plotly_data(x)) +} + + +#' @rdname dplyr-plotly +#' @export +summarise_.plotly <- function(.data, ..., .dots) { + d <- plotly_data(.data) + d <- dplyr::summarise_(d, .dots = lazyeval::all_dots(.dots, ...)) + add_data(.data, d) +} + +#' @rdname dplyr-plotly +#' @export +mutate_.plotly <- function(.data, ..., .dots) { + d <- plotly_data(.data) + d <- dplyr::mutate_(d, .dots = lazyeval::all_dots(.dots, ...)) + add_data(.data, d) +} + +#' @rdname dplyr-plotly +#' @export +arrange_.plotly <- function(.data, ..., .dots) { + d <- plotly_data(.data) + d <- dplyr::arrange_(d, .dots = lazyeval::all_dots(.dots, ...)) + add_data(.data, d) +} + +#' @rdname dplyr-plotly +#' @export +select_.plotly <- function(.data, ..., .dots) { + d <- plotly_data(.data) + d <- dplyr::select_(d, .dots = lazyeval::all_dots(.dots, ...)) + add_data(.data, d) +} + +#' @rdname dplyr-plotly +#' @export +filter_.plotly <- function(.data, ..., .dots) { + d <- plotly_data(.data) + d <- dplyr::filter_(d, .dots = lazyeval::all_dots(.dots, ...)) + add_data(.data, d) +} + +#' @rdname dplyr-plotly +#' @export +distinct_.plotly <- function(.data, ..., .dots) { + d <- plotly_data(.data) + d <- dplyr::distinct_(d, ..., .dots, add = add) + add_data(.data, d) +} + +#' @rdname dplyr-plotly +#' @export +slice_.plotly <- function(.data, ..., .dots) { + d <- plotly_data(.data) + d <- dplyr::slice_(d, ..., .dots, add = add) + add_data(.data, d) +} + +#' @rdname dplyr-plotly +#' @export +rename_.plotly <- function(.data, ..., .dots) { + d <- plotly_data(.data) + d <- dplyr::rename_(d, ..., .dots, add = add) + add_data(.data, d) +} + +#' @rdname dplyr-plotly +#' @export +transmute_.plotly <- function(.data, ..., .dots) { + d <- plotly_data(.data) + d <- dplyr::transmute_(d, ..., .dots, add = add) + add_data(.data, d) +} + + #' Insert missing values to create trace groupings #' #' If a group of traces share the same non-positional characteristics (i.e., @@ -29,5 +149,8 @@ group2NA <- function(data, groupNames = "group", nested = NULL, } else { dplyr::do(d, rbind(., NA)) } - structure(tidyr::unnest(d), class = unique(class(data), class(d))) + d <- tidyr::unnest(d) + n <- nrow(d) + if (all(is.na(d[n, ]))) d <- d[-n, ] + structure(d, class = unique(class(data), class(d))) } diff --git a/R/ggplotly.R b/R/ggplotly.R index cde683a17a..af622228c9 100644 --- a/R/ggplotly.R +++ b/R/ggplotly.R @@ -687,7 +687,7 @@ gg2list <- function(p, width = NULL, height = NULL, tooltip = "all", source = "A # If a trace isn't named, it shouldn't have additional hoverinfo traces <- lapply(compact(traces), function(x) { x$name <- x$name %||% ""; x }) - l <- list(data = setNames(traces, NULL), layout = list(compact(gglayout))) + l <- list(data = setNames(traces, NULL), layout = compact(gglayout)) # ensure properties are boxed correctly l <- add_boxed(rm_asis(l)) l$layout$width <- width diff --git a/R/layers2traces.R b/R/layers2traces.R index 13042c09b6..7a48d70b74 100644 --- a/R/layers2traces.R +++ b/R/layers2traces.R @@ -469,7 +469,7 @@ geom2trace.GeomPolygon <- function(data, params, p) { ), dash = aes2plotly(data, params, "linetype") ), - fill = "tozerox", + fill = "toself", fillcolor = toRGB( aes2plotly(data, params, "fill"), aes2plotly(data, params, "alpha") diff --git a/R/layout.R b/R/layout.R index d0fe9c445e..f1b3ef6417 100644 --- a/R/layout.R +++ b/R/layout.R @@ -20,12 +20,8 @@ layout.matrix <- function(p, ..., data = NULL) { #' @export layout.plotly <- function(p, ..., data = NULL) { - argz <- list(...) - nLayouts <- length(p$x$layout) - p$x$layout[[nLayouts + 1]] <- list( - attrs = argz, - rdata = data %||% p$x$data[[1]]$rdata - ) + p <- add_data(p, data) + p$x$layoutAttrs[[p$x$cur_data]] <- list(...) p } diff --git a/R/plotly.R b/R/plotly.R index f31fcd88db..b260219ec4 100644 --- a/R/plotly.R +++ b/R/plotly.R @@ -39,28 +39,15 @@ #' layout(p3, font = list(family = "Courier New, monospace")) #' #' # using the color argument -#' plot_ly(economics, x = date, y = unemploy / pop, color = pop, mode = "markers") -#' plot_ly(economics, x = date, y = unemploy / pop, color = pop, +#' plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop, mode = "markers") +#' plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop, #' colors = terrain.colors(5), mode = "markers") #' #' # function to extract the decade of a given date #' decade <- function(x) { #' factor(floor(as.numeric(format(x, "%Y")) / 10) * 10) #' } -#' plot_ly(economics, x = unemploy / pop, color = decade(date), type = "box") -#' -#' -#' plot_ly(mtcars, x = ~wt, y = ~mpg) -#' -#' -#' economics %>>% -#' transform(rate = unemploy / pop) %>>% -#' -#' %>% -#' %>>% -#' loess(rate ~ as.numeric(date), data = .) %>>% -#' broom::augment() %>>% -#' add_trace(y = .fitted) +#' plot_ly(economics, x = ~unemploy / pop, color = ~decade(date), type = "box") #' #' # sometimes, a data frame isn't fit for the use case... #' # for 3D surface plots, a numeric matrix is more natural @@ -89,24 +76,21 @@ plot_ly <- function(data = data.frame(), ..., type = NULL, # TODO: do we really need to verify these? argz$colors <- verify_arg(colors) argz$symbols <- verify_arg(symbols) + argz$type <- verify_type(type) - # we always deal with a _list_ of traces and _list_ of layouts - # since they can each have different data + # id for tracking attribute mappings and finding the most current data + id <- new_id() p <- list( - data = list( - list( - type = verify_type(type), - attrs = argz, - rdata = data - ) - ), + visdat = setNames(list(function() data), id), + cur_data = id, + attrs = setNames(list(argz), id), + # we always deal with a _list_ of traces and _list_ of layouts + # since they can each have different data layout = list( - list( width = width, height = height, # sane margin defaults (mainly for RStudio) margin = list(b = 40, l = 60, t = 25, r = 10) - ) ), config = list(modeBarButtonsToRemove = I("sendDataToCloud")), inherit = inherit, diff --git a/R/plotly_build.R b/R/plotly_build.R index 7af9dcd25d..47998e2dfa 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -10,8 +10,8 @@ #' @examples #' #' p <- plot_ly(economics, x = ~date, y = ~pce) -#' # the unevaluated data -#' str(p$x$data) +#' # the unevaluated plotly object +#' str(p) #' # the evaluated data #' str(plotly_build(p)$x$data) #' @@ -19,52 +19,59 @@ plotly_build <- function(p) { UseMethod("plotly_build") } +#' @export +plotly_build.default <- identity + #' @export plotly_build.gg <- function(p) { - ggplotly(p) + l <- ggplotly(p) + browser() } #' @export plotly_build.plotly <- function(p) { - # Initiating a plot with plot_ly() should have a _list_ of layouts - if (is.list(p$x$layout) && is.null(names(p$x$layout))) { - p$x$layout <- lapply(p$x$layout, function(lay) { - is_formula <- vapply(lay$attrs, is.formula, logical(1)) - fl <- lazyeval::as_f_list(lay$attrs[is_formula] %||% list()) - for (var in names(fl)) { - lay[[var]] <- lazyeval::f_eval(fl[[var]], lay$rdata) - } - # tack on attributes, that aren't formulas, without evaluating them - lay <- c(lay, lay$attrs[!is_formula]) - lay[c("attrs", "rdata")] <- NULL - lay[lengths(lay) > 0] - }) - # combine all the layouts into one layout - # (with later layout() calls overriding previous ones) - p$x$layout <- Reduce(modifyList, p$x$layout) - } + layouts <- Map(function(x, y) { + + is_formula <- vapply(x, is.formula, logical(1)) + fl <- lazyeval::as_f_list(x[is_formula] %||% list()) + for (var in names(fl)) { + x[[var]] <- lazyeval::f_eval(fl[[var]], plotly_data(p, y)) + } + x[lengths(x) > 0] + + }, p$x$layoutAttrs, names(p$x$layoutAttrs)) + + # get rid of the data -> layout mapping and merge all the layouts + # into a single layout (more recent layouts will override older ones) + p$x$layoutAttrs <- NULL + p$x$layout <- modifyList(p$x$layout %||% list(), layouts) - p$x$data <- lapply(p$x$data, function(tr) { - is_formula <- vapply(tr$attrs, is.formula, logical(1)) - fl <- lazyeval::as_f_list(tr$attrs[is_formula] %||% list()) + p$x$data <- Map(function(x, y) { + + is_formula <- vapply(x, is.formula, logical(1)) + fl <- lazyeval::as_f_list(x[is_formula] %||% list()) for (var in names(fl)) { - tr[[var]] <- lazyeval::f_eval(fl[[var]], tr$rdata) + x[[var]] <- lazyeval::f_eval(fl[[var]], plotly_data(p, y)) varname <- sub("^~", "", deparse2(fl[[var]])) # deparse axis names and add to layout if (any(c("x", "y", "z") %in% var)) { - if (is3d(tr$type)) { + if (is3d(x$type)) { p$x$layout$scene[[paste0(var, "axis")]]$title <<- varname } else { p$x$layout[[paste0(var, "axis")]]$title <<- varname } } } - # tack on attributes, that aren't formulas, without evaluating them - tr <- c(tr, tr$attrs[!is_formula]) - tr[c("attrs", "rdata")] <- NULL - tr[lengths(tr) > 0] - }) + x[lengths(x) > 0] + + }, p$x$attrs, names(p$x$attrs)) + + # get rid of data -> vis mapping stuff + p$x[c("visdat", "cur_data", "attrs")] <- NULL + + # traces can't have names + p$x$data <- setNames(p$x$data, NULL) p } diff --git a/R/subplots.R b/R/subplots.R index d5fd017e24..2dd988b941 100644 --- a/R/subplots.R +++ b/R/subplots.R @@ -38,7 +38,7 @@ subplot <- function(..., nrows = 1, widths = NULL, heights = NULL, margin = 0.02 dotz <- dotz[[1]] } # build each plot - plotz <- lapply(dotz, plotly_build) + plotz <- lapply(dotz, function(d) plotly_build(d)$x) # ensure "axis-reference" trace attributes are properly formatted # TODO: should this go inside plotly_build()? plotz <- lapply(plotz, function(p) { @@ -236,7 +236,7 @@ subplot <- function(..., nrows = 1, widths = NULL, heights = NULL, margin = 0.02 layouts <- layouts[which_layout] } p$layout <- c(p$layout, Reduce(modifyList, layouts)) - p + as.widget(p) } diff --git a/R/utils.R b/R/utils.R index 8a93b04f37..bd2ad9488c 100644 --- a/R/utils.R +++ b/R/utils.R @@ -18,7 +18,18 @@ is.discrete <- function(x) { is.factor(x) || is.character(x) || is.logical(x) } -deparse2 <- function(x) paste(deparse(x, 500L), collapse = "") +deparse2 <- function(x) { + paste(deparse(x, 500L), collapse = "") +} + +new_id <- function() { + basename(tempfile("")) +} + +# obtain the current data from a plotly vis +plotly_data <- function(p, id = p$x$cur_data) { + p$x$visdat[[id]]() +} verify_arg <- function(arg) { if (missing(arg)) return(NULL) diff --git a/inst/htmlwidgets/plotly.js b/inst/htmlwidgets/plotly.js index 3df60ef50d..2ded06eea1 100644 --- a/inst/htmlwidgets/plotly.js +++ b/inst/htmlwidgets/plotly.js @@ -27,6 +27,7 @@ HTMLWidgets.widget({ // if no plot exists yet, create one with a particular configuration if (!instance.plotly) { + console.log(x.data); var plot = Plotly.plot(graphDiv, x.data, x.layout, x.config); instance.plotly = true; instance.autosize = x.layout.autosize; diff --git a/man/add_data.Rd b/man/add_data.Rd new file mode 100644 index 0000000000..0dbceb40e9 --- /dev/null +++ b/man/add_data.Rd @@ -0,0 +1,21 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/add.R +\name{add_data} +\alias{add_data} +\title{Add data to a plotly visualization} +\usage{ +add_data(p, data = NULL) +} +\arguments{ +\item{p}{a plotly visualization} + +\item{data}{a data frame.} +} +\description{ +Add data to a plotly visualization +} +\examples{ + +NULL \%>\% plot_ly() \%>\% add_data(economics) \%>\% add_trace(x = ~date, y = ~pce) +} + diff --git a/man/dplyr-plotly.Rd b/man/dplyr-plotly.Rd new file mode 100644 index 0000000000..7bf060e0fb --- /dev/null +++ b/man/dplyr-plotly.Rd @@ -0,0 +1,41 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/dplyr.R +\name{groups.plotly} +\alias{arrange_.plotly} +\alias{distinct_.plotly} +\alias{filter_.plotly} +\alias{group_by_.plotly} +\alias{groups.plotly} +\alias{mutate_.plotly} +\alias{rename_.plotly} +\alias{select_.plotly} +\alias{slice_.plotly} +\alias{summarise_.plotly} +\alias{transmute_.plotly} +\alias{ungroup.plotly} +\usage{ +\method{groups}{plotly}(x) + +\method{group_by_}{plotly}(.data, ..., .dots, add = FALSE) + +\method{ungroup}{plotly}(x) + +\method{summarise_}{plotly}(.data, ..., .dots) + +\method{mutate_}{plotly}(.data, ..., .dots) + +\method{arrange_}{plotly}(.data, ..., .dots) + +\method{select_}{plotly}(.data, ..., .dots) + +\method{filter_}{plotly}(.data, ..., .dots) + +\method{distinct_}{plotly}(.data, ..., .dots) + +\method{slice_}{plotly}(.data, ..., .dots) + +\method{rename_}{plotly}(.data, ..., .dots) + +\method{transmute_}{plotly}(.data, ..., .dots) +} + diff --git a/man/group_by.Rd b/man/group_by.Rd new file mode 100644 index 0000000000..29302f0fdc --- /dev/null +++ b/man/group_by.Rd @@ -0,0 +1,18 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/dplyr.R +\name{group_by} +\alias{group_by} +\title{Divide data into groups.} +\arguments{ +\item{p}{a plotly visualization.} + +\item{...}{variables to group by.} + +\item{add}{By default, when \code{add = FALSE}, \code{group_by} will +override existing groups. To instead add to the existing groups, +use \code{add = TRUE}} +} +\description{ +Divide data into groups. +} + diff --git a/man/plot_ly.Rd b/man/plot_ly.Rd index c63257ce6a..ab138656da 100644 --- a/man/plot_ly.Rd +++ b/man/plot_ly.Rd @@ -60,28 +60,15 @@ p3 <- layout(p2, title = "Median duration of unemployment (in weeks)") layout(p3, font = list(family = "Courier New, monospace")) # using the color argument -plot_ly(economics, x = date, y = unemploy / pop, color = pop, mode = "markers") -plot_ly(economics, x = date, y = unemploy / pop, color = pop, +plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop, mode = "markers") +plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop, colors = terrain.colors(5), mode = "markers") # function to extract the decade of a given date decade <- function(x) { factor(floor(as.numeric(format(x, "\%Y")) / 10) * 10) } -plot_ly(economics, x = unemploy / pop, color = decade(date), type = "box") - - -plot_ly(mtcars, x = ~wt, y = ~mpg) - - -economics \%>>\% - transform(rate = unemploy / pop) \%>>\% - - \%>\% - \%>>\% - loess(rate ~ as.numeric(date), data = .) \%>>\% - broom::augment() \%>>\% - add_trace(y = .fitted) +plot_ly(economics, x = ~unemploy / pop, color = ~decade(date), type = "box") # sometimes, a data frame isn't fit for the use case... # for 3D surface plots, a numeric matrix is more natural diff --git a/man/plotly-ggvis.Rd b/man/plotly-ggvis.Rd new file mode 100644 index 0000000000..68297abf99 --- /dev/null +++ b/man/plotly-ggvis.Rd @@ -0,0 +1,18 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/dplyr.R +\name{plotly-ggvis} +\alias{plotly-ggvis} +\title{Dplyr verbs for plotly.} +\description{ +Dplyr verbs for plotly. +} +\examples{ + +library(dplyr) +plot_ly(mtcars, x = ~wt, y = ~mpg) \%>\% + filter(cyl == 4) \%>\% + add_points() + +} +\keyword{internal} + diff --git a/man/plotly_build.Rd b/man/plotly_build.Rd index 7808dd6db1..697fd11e86 100644 --- a/man/plotly_build.Rd +++ b/man/plotly_build.Rd @@ -18,8 +18,8 @@ errors. \examples{ p <- plot_ly(economics, x = ~date, y = ~pce) -# the unevaluated data -str(p$x$data) +# the unevaluated plotly object +str(p) # the evaluated data str(plotly_build(p)$x$data) diff --git a/tests/testthat.R b/tests/testthat.R index 2260d9352f..9c020f86a1 100644 --- a/tests/testthat.R +++ b/tests/testthat.R @@ -62,7 +62,7 @@ if (report_diffs || build_table) { # object (aka the data behind the plot). save_outputs <- function(gg, name) { print(paste("Running test:", name)) - p <- plotly_build(gg) + p <- plotly_build(gg)$x has_diff <- if (report_diffs) { # save a hash of the R object plot_hash <- digest::digest(p) diff --git a/tests/testthat/test-ggplot-polygons.R b/tests/testthat/test-ggplot-polygons.R index 77f95cfdf7..a4247427a2 100644 --- a/tests/testthat/test-ggplot-polygons.R +++ b/tests/testthat/test-ggplot-polygons.R @@ -24,16 +24,10 @@ test_that("polygons filled with the same color become one trace", { gg <- ggplot(poly.df) + geom_polygon(aes(x, y, group = g)) info <- expect_traces(gg, 1, "black") tr <- info$data[[1]] - expected.x <- - c(10, 11, 11, 10, 10, NA, - 12, 13, 13, 12, 12, NA, - 10, 10) + expected.x <- c(10, 11, 11, 10, 10, NA, 12, 13, 13, 12, 12) expect_equal(tr$x, expected.x) expect_equal(tr$fill, "tozerox") - expected.y <- - c(0, 0, 1, 1, 0, NA, - 0, 0, 1, 1, 0, NA, - 0, 0) + expected.y <- c(0, 0, 1, 1, 0, NA, 0, 0, 1, 1, 0) expect_equal(tr$y, expected.y) }) @@ -156,14 +150,12 @@ test_that("geom_polygon(aes(group)) -> 1 trace", { info <- expect_traces(star.group, 1, "star-group") tr <- info$data[[1]] expect_equal(tr$fill, "tozerox") - expect_equal(tr$x, - c(0, -1, 2, -2, 1, 0, NA, - 10, 9, 12, 8, 11, 10, NA, - 0, 0)) - expect_equal(tr$y, - c(2, 0, 1, 1, 0, 2, NA, - 2, 0, 1, 1, 0, 2, NA, - 2, 2)) + expect_equal( + tr$x, c(0, -1, 2, -2, 1, 0, NA, 10, 9, 12, 8, 11, 10) + ) + expect_equal( + tr$y, c(2, 0, 1, 1, 0, 2, NA, 2, 0, 1, 1, 0, 2) + ) }) star.group.color <- ggplot(stars) + @@ -175,10 +167,10 @@ test_that("geom_polygon(aes(group), color) -> 1 trace", { expect_true(tr$fill == "tozerox") expect_true(tr$line$color == toRGB("red")) expect_equal( - tr$x, c(0, -1, 2, -2, 1, 0, NA, 10, 9, 12, 8, 11, 10, NA, 0, 0) + tr$x, c(0, -1, 2, -2, 1, 0, NA, 10, 9, 12, 8, 11, 10) ) expect_equal( - tr$y, c(2, 0, 1, 1, 0, 2, NA, 2, 0, 1, 1, 0, 2, NA, 2, 2) + tr$y, c(2, 0, 1, 1, 0, 2, NA, 2, 0, 1, 1, 0, 2) ) }) diff --git a/tests/testthat/test-ggplot-rect.R b/tests/testthat/test-ggplot-rect.R index c42ad992c6..e663e67bc9 100644 --- a/tests/testthat/test-ggplot-rect.R +++ b/tests/testthat/test-ggplot-rect.R @@ -49,18 +49,12 @@ test_that('trace contains NA back to 1st rect', { expected.x <- c(1, 1, 1.5, 1.5, 1, NA, 2, 2, 2.5, 2.5, 2, NA, 3, 3, 3.5, 3.5, 3, NA, - 4, 4, 4.5, 4.5, 4, NA, - 3, NA, - 2, NA, - 1, 1) + 4, 4, 4.5, 4.5, 4) expect_equal(tr$x, expected.x) expected.y <- c(0, 1, 1, 0, 0, NA, 0, 1, 1, 0, 0, NA, 0, 1, 1, 0, 0, NA, - 0, 1, 1, 0, 0, NA, - 0, NA, - 0, NA, - 0, 0) + 0, 1, 1, 0, 0) expect_equal(tr$y, expected.y) }) @@ -73,22 +67,18 @@ test_that('rect color', { for(tr in info$data){ expect_true(tr$fillcolor == toRGB("grey")) expect_true(tr$fill == "tozerox") - expect_equal(tr$y, - c(0, 1, 1, 0, 0, NA, - 0, 1, 1, 0, 0, NA, - 0, 0)) + expect_equal(tr$y, c(0, 1, 1, 0, 0, NA, 0, 1, 1, 0, 0)) traces.by.name[[tr$name]] <- tr } - expect_equal(traces.by.name[[1]]$x, - c(1, 1, 1.5, 1.5, 1, NA, - 4, 4, 4.5, 4.5, 4, NA, - 1, 1)) - expect_equal(traces.by.name[[2]]$x, - c(2, 2, 2.5, 2.5, 2, NA, - 3, 3, 3.5, 3.5, 3, NA, - 2, 2)) - expect_false(traces.by.name[[1]]$line$color == - traces.by.name[[2]]$line$color) + expect_equal( + traces.by.name[[1]]$x, c(1, 1, 1.5, 1.5, 1, NA, 4, 4, 4.5, 4.5, 4) + ) + expect_equal( + traces.by.name[[2]]$x,c(2, 2, 2.5, 2.5, 2, NA, 3, 3, 3.5, 3.5, 3) + ) + expect_false( + traces.by.name[[1]]$line$color == traces.by.name[[2]]$line$color + ) }) rect.fill <- ggplot(df4, aes(xmin = x, xmax = x + 0.5, ymin = 0, ymax = 1)) + @@ -100,22 +90,18 @@ test_that('rect color', { for(tr in info$data){ expect_true(tr$line$color == "transparent") expect_true(tr$fill == "tozerox") - expect_equal(tr$y, - c(0, 1, 1, 0, 0, NA, - 0, 1, 1, 0, 0, NA, - 0, 0)) + expect_equal(tr$y, c(0, 1, 1, 0, 0, NA, 0, 1, 1, 0, 0)) traces.by.name[[tr$name]] <- tr } - expect_equal(traces.by.name[[1]]$x, - c(1, 1, 1.5, 1.5, 1, NA, - 4, 4, 4.5, 4.5, 4, NA, - 1, 1)) - expect_equal(traces.by.name[[2]]$x, - c(2, 2, 2.5, 2.5, 2, NA, - 3, 3, 3.5, 3.5, 3, NA, - 2, 2)) - expect_false(traces.by.name[[1]]$fillcolor == - traces.by.name[[2]]$fillcolor) + expect_equal( + traces.by.name[[1]]$x, c(1, 1, 1.5, 1.5, 1, NA, 4, 4, 4.5, 4.5, 4) + ) + expect_equal( + traces.by.name[[2]]$x, c(2, 2, 2.5, 2.5, 2, NA, 3, 3, 3.5, 3.5, 3) + ) + expect_false( + traces.by.name[[1]]$fillcolor == traces.by.name[[2]]$fillcolor + ) }) rect.fill.color <- @@ -128,22 +114,20 @@ test_that('rect aes(fill) with constant color', { for(tr in info$data){ expect_true(tr$line$color == toRGB("black")) expect_true(tr$fill == "tozerox") - expect_equal(tr$y, - c(0, 1, 1, 0, 0, NA, - 0, 1, 1, 0, 0, NA, - 0, 0)) + expect_equal( + tr$y, c(0, 1, 1, 0, 0, NA, 0, 1, 1, 0, 0) + ) traces.by.name[[tr$name]] <- tr } - expect_equal(traces.by.name[[1]]$x, - c(1, 1, 1.5, 1.5, 1, NA, - 4, 4, 4.5, 4.5, 4, NA, - 1, 1)) - expect_equal(traces.by.name[[2]]$x, - c(2, 2, 2.5, 2.5, 2, NA, - 3, 3, 3.5, 3.5, 3, NA, - 2, 2)) - expect_false(traces.by.name[[1]]$fillcolor == - traces.by.name[[2]]$fillcolor) + expect_equal( + traces.by.name[[1]]$x, c(1, 1, 1.5, 1.5, 1, NA, 4, 4, 4.5, 4.5, 4) + ) + expect_equal( + traces.by.name[[2]]$x, c(2, 2, 2.5, 2.5, 2, NA, 3, 3, 3.5, 3.5, 3) + ) + expect_false( + traces.by.name[[1]]$fillcolor == traces.by.name[[2]]$fillcolor + ) }) diff --git a/tests/testthat/test-ggplot-tooltip.R b/tests/testthat/test-ggplot-tooltip.R index 13ef4ddbd2..b8480a3463 100644 --- a/tests/testthat/test-ggplot-tooltip.R +++ b/tests/testthat/test-ggplot-tooltip.R @@ -31,7 +31,7 @@ test_that("dates are displayed in tooltip properly", { test_that("tooltip argument respects ordering", { p <- qplot(mpg, fill = factor(cyl), data = mtcars, geom = "density") p <- ggplotly(p, tooltip = c("density", "x")) - info <- plotly_build(p) + info <- plotly_build(p)$x txt <- strsplit(info$data[[1]]$text, "
") expect_true(all(grepl("^density", sapply(txt, "[[", 1)))) expect_true(all(grepl("^mpg", sapply(txt, "[[", 2)))) @@ -40,7 +40,7 @@ test_that("tooltip argument respects ordering", { test_that("can hide x values in tooltip", { gg2 <- ggplot(mtcars, aes(factor(cyl), mpg, fill = factor(cyl))) + geom_violin() p <- ggplotly(gg2, tooltip = "y") - l <- plotly_build(p) + l <- plotly_build(p)$x expect_equal(sum(grepl("cyl", l$data[[1]]$text)), 0) }) diff --git a/tests/testthat/test-ggplot-violin.R b/tests/testthat/test-ggplot-violin.R index 8d56627484..7b6dc38105 100644 --- a/tests/testthat/test-ggplot-violin.R +++ b/tests/testthat/test-ggplot-violin.R @@ -9,7 +9,7 @@ test_that("basic geom_violin works", { expect_identical(tr$type, "scatter") expect_true(tr$fill == "tozerox") expect_false(tr$showlegend) - expect_true(all(grepl("density", tr$text))) + expect_true(all(grepl("density", tr$text[!is.na(tr$text)]))) expect_true(tr$hoverinfo == "text") }) diff --git a/tests/testthat/test-plotly-subplot.R b/tests/testthat/test-plotly-subplot.R index c1a8ac13b2..3306022dd6 100644 --- a/tests/testthat/test-plotly-subplot.R +++ b/tests/testthat/test-plotly-subplot.R @@ -31,7 +31,7 @@ test_that("nrows argument works", { test_that("group + [x/y]axis works", { iris$id <- as.integer(iris$Species) - p <- plot_ly(iris, x = Petal.Length, y = Petal.Width, group = Species, + p <- plot_ly(iris, x = ~Petal.Length, y = ~Petal.Width, color = ~Species, xaxis = paste0("x", id), mode = "markers") s <- expect_traces(subplot(p, margin = 0.05), 3, "group") ax <- s$layout[grepl("^[x-y]axis", names(s$layout))] From 9409c14daa11072a5e48dac862cd466115b940e5 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Fri, 27 May 2016 17:17:57 +1000 Subject: [PATCH 06/73] ggplotly should return information about the data so it works with downstream plotly stuff --- NAMESPACE | 25 +++++++++++++------------ R/ggplotly.R | 21 ++++++++++++++------- R/imports.R | 2 +- R/plotly_build.R | 11 +++++++---- inst/htmlwidgets/plotly.js | 2 +- man/dplyr-plotly.Rd | 24 ++++++++++++------------ 6 files changed, 48 insertions(+), 37 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index 65b3806439..6de522b199 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,8 +1,5 @@ # Generated by roxygen2: do not edit by hand -S3method(arrange_,plotly) -S3method(distinct_,plotly) -S3method(filter_,plotly) S3method(geom2trace,GeomBar) S3method(geom2trace,GeomBlank) S3method(geom2trace,GeomBoxplot) @@ -16,19 +13,12 @@ S3method(geom2trace,GeomTile) S3method(geom2trace,default) S3method(ggplotly,ggmatrix) S3method(ggplotly,ggplot) -S3method(group_by_,plotly) -S3method(groups,plotly) S3method(layout,matrix) S3method(layout,plotly) -S3method(mutate_,plotly) S3method(plotly_build,default) S3method(plotly_build,gg) S3method(plotly_build,plotly) S3method(print,plotly_figure) -S3method(rename_,plotly) -S3method(select_,plotly) -S3method(slice_,plotly) -S3method(summarise_,plotly) S3method(to_basic,GeomAbline) S3method(to_basic,GeomArea) S3method(to_basic,GeomBoxplot) @@ -54,8 +44,6 @@ S3method(to_basic,GeomTile) S3method(to_basic,GeomViolin) S3method(to_basic,GeomVline) S3method(to_basic,default) -S3method(transmute_,plotly) -S3method(ungroup,plotly) export("%>%") export(add_data) export(add_lines) @@ -63,18 +51,24 @@ export(add_points) export(add_polygons) export(add_text) export(add_trace) +export(arrange_.plotly) export(as.widget) export(config) +export(distinct_.plotly) export(embed_notebook) export(event_data) export(export) +export(filter_.plotly) export(geom2trace) export(get_figure) export(gg2list) export(ggplotly) export(group_by) +export(group_by_.plotly) +export(groups.plotly) export(knit_print.plotly_figure) export(layout) +export(mutate_.plotly) export(offline) export(plot_ly) export(plotly) @@ -84,16 +78,23 @@ export(plotly_POST) export(plotly_build) export(plotly_empty) export(plotly_spec) +export(rename_.plotly) export(renderPlotly) +export(select_.plotly) export(signup) +export(slice_.plotly) export(style) export(subplot) +export(summarise_.plotly) export(toRGB) export(toWebGL) export(to_basic) +export(transmute_.plotly) +export(ungroup.plotly) import(ggplot2) importFrom(base64enc,base64encode) importFrom(dplyr,arrange_) +importFrom(dplyr,distinct_) importFrom(dplyr,do) importFrom(dplyr,group_by) importFrom(dplyr,group_by_) diff --git a/R/ggplotly.R b/R/ggplotly.R index af622228c9..5aee097e4c 100644 --- a/R/ggplotly.R +++ b/R/ggplotly.R @@ -686,14 +686,21 @@ gg2list <- function(p, width = NULL, height = NULL, tooltip = "all", source = "A } # If a trace isn't named, it shouldn't have additional hoverinfo traces <- lapply(compact(traces), function(x) { x$name <- x$name %||% ""; x }) - - l <- list(data = setNames(traces, NULL), layout = compact(gglayout)) + + gglayout$width <- width + gglayout$height <- height + + id <- new_id() + l <- list( + visdat = setNames(list(function() data[[length(data)]]), id), + attrs = list(), + cur_data = id, + data = setNames(traces, NULL), + layout = compact(gglayout), + source = source + ) # ensure properties are boxed correctly - l <- add_boxed(rm_asis(l)) - l$layout$width <- width - l$layout$height <- height - l$source <- source - l + add_boxed(rm_asis(l)) } diff --git a/R/imports.R b/R/imports.R index 9ea0951f41..3fa6eeb216 100644 --- a/R/imports.R +++ b/R/imports.R @@ -4,7 +4,7 @@ #' @importFrom utils getFromNamespace modifyList data packageVersion browseURL #' @importFrom stats setNames complete.cases #' @importFrom tidyr gather unnest -#' @importFrom dplyr arrange_ group_by_ do +#' @importFrom dplyr distinct_ arrange_ group_by_ do #' @importFrom viridis viridis #' @importFrom jsonlite toJSON fromJSON #' @importFrom httr GET POST PATCH content config add_headers stop_for_status diff --git a/R/plotly_build.R b/R/plotly_build.R index 47998e2dfa..00c4dd7437 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -20,12 +20,13 @@ plotly_build <- function(p) { } #' @export -plotly_build.default <- identity +plotly_build.default <- function(p) { + p +} #' @export plotly_build.gg <- function(p) { - l <- ggplotly(p) - browser() + ggplotly(p) } #' @export @@ -47,7 +48,7 @@ plotly_build.plotly <- function(p) { p$x$layoutAttrs <- NULL p$x$layout <- modifyList(p$x$layout %||% list(), layouts) - p$x$data <- Map(function(x, y) { + dats <- Map(function(x, y) { is_formula <- vapply(x, is.formula, logical(1)) fl <- lazyeval::as_f_list(x[is_formula] %||% list()) @@ -67,6 +68,8 @@ plotly_build.plotly <- function(p) { }, p$x$attrs, names(p$x$attrs)) + p$x$data <- c(p$x$data, dats) + # get rid of data -> vis mapping stuff p$x[c("visdat", "cur_data", "attrs")] <- NULL diff --git a/inst/htmlwidgets/plotly.js b/inst/htmlwidgets/plotly.js index 2ded06eea1..b406d6759f 100644 --- a/inst/htmlwidgets/plotly.js +++ b/inst/htmlwidgets/plotly.js @@ -27,7 +27,7 @@ HTMLWidgets.widget({ // if no plot exists yet, create one with a particular configuration if (!instance.plotly) { - console.log(x.data); + console.log(x); var plot = Plotly.plot(graphDiv, x.data, x.layout, x.config); instance.plotly = true; instance.autosize = x.layout.autosize; diff --git a/man/dplyr-plotly.Rd b/man/dplyr-plotly.Rd index 7bf060e0fb..f880882b71 100644 --- a/man/dplyr-plotly.Rd +++ b/man/dplyr-plotly.Rd @@ -14,28 +14,28 @@ \alias{transmute_.plotly} \alias{ungroup.plotly} \usage{ -\method{groups}{plotly}(x) +groups.plotly(x) -\method{group_by_}{plotly}(.data, ..., .dots, add = FALSE) +group_by_.plotly(.data, ..., .dots, add = FALSE) -\method{ungroup}{plotly}(x) +ungroup.plotly(x) -\method{summarise_}{plotly}(.data, ..., .dots) +summarise_.plotly(.data, ..., .dots) -\method{mutate_}{plotly}(.data, ..., .dots) +mutate_.plotly(.data, ..., .dots) -\method{arrange_}{plotly}(.data, ..., .dots) +arrange_.plotly(.data, ..., .dots) -\method{select_}{plotly}(.data, ..., .dots) +select_.plotly(.data, ..., .dots) -\method{filter_}{plotly}(.data, ..., .dots) +filter_.plotly(.data, ..., .dots) -\method{distinct_}{plotly}(.data, ..., .dots) +distinct_.plotly(.data, ..., .dots) -\method{slice_}{plotly}(.data, ..., .dots) +slice_.plotly(.data, ..., .dots) -\method{rename_}{plotly}(.data, ..., .dots) +rename_.plotly(.data, ..., .dots) -\method{transmute_}{plotly}(.data, ..., .dots) +transmute_.plotly(.data, ..., .dots) } From 3d10149ce1d5d1f63386035bdebf8124deb4c67e Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Tue, 31 May 2016 14:27:58 +1000 Subject: [PATCH 07/73] deprecate group argument in favor of group_by() --- NAMESPACE | 2 - NEWS | 4 +- R/add.R | 23 +++++----- R/dplyr.R | 59 ++++++++++++------------- R/plotly.R | 28 +++++++----- R/plotly_build.R | 8 +++- man/add_trace.Rd | 5 +-- man/group_by.Rd | 18 -------- man/plot_ly.Rd | 6 +-- man/{dplyr-plotly.Rd => plotly-data.Rd} | 29 +++++++++++- man/plotly-ggvis.Rd | 18 -------- 11 files changed, 98 insertions(+), 102 deletions(-) delete mode 100644 man/group_by.Rd rename man/{dplyr-plotly.Rd => plotly-data.Rd} (58%) delete mode 100644 man/plotly-ggvis.Rd diff --git a/NAMESPACE b/NAMESPACE index 6de522b199..c919d9dd3c 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -63,7 +63,6 @@ export(geom2trace) export(get_figure) export(gg2list) export(ggplotly) -export(group_by) export(group_by_.plotly) export(groups.plotly) export(knit_print.plotly_figure) @@ -96,7 +95,6 @@ importFrom(base64enc,base64encode) importFrom(dplyr,arrange_) importFrom(dplyr,distinct_) importFrom(dplyr,do) -importFrom(dplyr,group_by) importFrom(dplyr,group_by_) importFrom(grDevices,col2rgb) importFrom(graphics,layout) diff --git a/NEWS b/NEWS index 51fe6cc1d3..478e7ffd9f 100644 --- a/NEWS +++ b/NEWS @@ -3,8 +3,8 @@ MAJOR CHANGES & IMPROVEMENTS: * Formulas (instead of plain expressions) are now required when referring to variable names. For example, `plot_ly(mtcars, x = wt, y = mpg, color = vs)` should now be `plot_ly(mtcars, x = ~wt, y = ~mpg, color = ~vs)`. This is a major breaking change, but it is necessary to ensure that evaluation is correct in all contexts (as a result, `evaluate` argument is now deprecated). It also has the benefit of being easier to program with (i.e., writing your own custom functions that wrap `plot_ly()`). For more details, see the [lazyeval vignette](https://github.com/hadley/lazyeval/blob/master/vignettes/lazyeval.Rmd) -* The central object (i.e., the return value and first argument to functions) is now an htmlwidget object (instead of a data frame with a special attribute tracking visual mappings). As a result, plotly objects can now be serialized across R sessions and avoid [memory leak issues](https://github.com/rstudio/shiny/issues/1151). This also implies that arbitrary data manipulation functions can no longer be intermingled inside a plot pipeline, but plotly methods for dplyr's data manipulation verbs are now provided (see `help("dplyr-plotly")` for more details). -* Using the `group` argument (or now, equivalently, the `group_by()` method) will no longer create multiple traces, but instead inserts "gaps" into a given trace via missing values (fixes #418, #381, #577). +* The central object (i.e., the return value and first argument to functions) is now an htmlwidget object (instead of a data frame with a special attribute tracking visual mappings). As a result, plotly objects can now be serialized across R sessions and avoid [memory leak issues](https://github.com/rstudio/shiny/issues/1151). This also implies that arbitrary data manipulation functions can no longer be intermingled inside a plot pipeline, but plotly methods for dplyr's data manipulation verbs are now provided (see `help("plotly-data")` for more details). +* The `group` argument has been deprecated in favor of `group_by()`. Also, groupings will no longer create multiple traces (fixes #418, #381, #577). NEW FEATURES & IMPROVEMENTS: diff --git a/R/add.R b/R/add.R index ed958103c1..d755124909 100644 --- a/R/add.R +++ b/R/add.R @@ -21,8 +21,6 @@ add_data <- function(p, data = NULL) { #' @param p a plotly or ggplot object. #' @param ... These arguments are documented in the references section below. #' Note that acceptable arguments depend on the trace type. -#' @param group Either a variable name or a vector to use for grouping. If used, -#' a different trace will be created for each unique value. #' @param color Either a variable name or a vector to use for color mapping. #' @param colors Either a colorbrewer2.org palette name (e.g. "YlOrRd" or "Blues"), #' or a vector of colors to interpolate in hexadecimal "#RRGGBB" format, @@ -38,18 +36,23 @@ add_data <- function(p, data = NULL) { #' @author Carson Sievert #' @export add_trace <- function(p, ..., - group, color, colors, symbol, symbols, size, data = NULL) { + color, colors, symbol, symbols, size, data = NULL) { # "native" plotly arguments argz <- list(...) - # tack on "special" arguments - if (!missing(group)) argz$group <- substitute(group) - if (!missing(color)) argz$color <- substitute(color) - if (!missing(colors)) argz$colors <- substitute(colors) - if (!missing(symbol)) argz$symbol <- substitute(symbol) - if (!missing(symbols)) argz$symbols <- substitute(symbols) - if (!missing(size)) argz$size <- substitute(size) + argz$type <- verify_type(argz$type) + if (!is.null(argz[["group"]])) { + warning("The group argument has been deprecated. Use group_by() instead.") + } + + # tack on "special" arguments + argz$color <- verify_arg(color) + argz$colors <- verify_arg(colors) + argz$symbol <- verify_arg(symbol) + argz$symbols <- verify_arg(symbols) + argz$size <- verify_arg(size) + p <- add_data(p, data) p$x$attrs[[p$x$cur_data]] <- argz p diff --git a/R/dplyr.R b/R/dplyr.R index f0b9f3ccd3..0bc3c7af97 100644 --- a/R/dplyr.R +++ b/R/dplyr.R @@ -1,36 +1,37 @@ -#' Dplyr verbs for plotly. +#' Data manipulation verbs for plotly. #' -#' @name plotly-ggvis +#' @name plotly-data #' @keywords internal #' @examples #' +#' # loading dplyr is super important! #' library(dplyr) -#' plot_ly(mtcars, x = ~wt, y = ~mpg) %>% -#' filter(cyl == 4) %>% -#' add_points() #' -NULL - -#' Divide data into groups. +#' mtcars %>% +#' plot_ly(x = ~wt, y = ~mpg, name = "scatter trace") %>% +#' filter(cyl == 4) %>% +#' add_points(x = ~wt, y = ~mpg, name = "filtered points", +#' marker = list(color = "red")) +#' +#' library(tidyr) +#' economics %>% +#' gather(variable, value, -date) %>% +#' group_by(variable) %>% +#' plot_ly(x = ~date, y = ~value) +#' +#' #' -#' @param p a plotly visualization. -#' @param ... variables to group by. -#' @param add By default, when \code{add = FALSE}, \code{group_by} will -#' override existing groups. To instead add to the existing groups, -#' use \code{add = TRUE} -#' @importFrom dplyr group_by -#' @name group_by -#' @export +#' NULL #' @export -#' @rdname dplyr-plotly +#' @rdname plotly-data groups.plotly <- function(x) { dplyr::groups(plotly_data(x)) } #' @export -#' @rdname dplyr-plotly +#' @rdname plotly-data group_by_.plotly <- function(.data, ..., .dots, add = FALSE) { d <- plotly_data(.data) d <- dplyr::group_by_(d, .dots = lazyeval::all_dots(.dots, ...), add = add) @@ -39,13 +40,12 @@ group_by_.plotly <- function(.data, ..., .dots, add = FALSE) { } #' @export -#' @rdname dplyr-plotly +#' @rdname plotly-data ungroup.plotly <- function(x) { dplyr::ungroup(plotly_data(x)) } - -#' @rdname dplyr-plotly +#' @rdname plotly-data #' @export summarise_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) @@ -53,7 +53,7 @@ summarise_.plotly <- function(.data, ..., .dots) { add_data(.data, d) } -#' @rdname dplyr-plotly +#' @rdname plotly-data #' @export mutate_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) @@ -61,7 +61,7 @@ mutate_.plotly <- function(.data, ..., .dots) { add_data(.data, d) } -#' @rdname dplyr-plotly +#' @rdname plotly-data #' @export arrange_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) @@ -69,7 +69,7 @@ arrange_.plotly <- function(.data, ..., .dots) { add_data(.data, d) } -#' @rdname dplyr-plotly +#' @rdname plotly-data #' @export select_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) @@ -77,7 +77,7 @@ select_.plotly <- function(.data, ..., .dots) { add_data(.data, d) } -#' @rdname dplyr-plotly +#' @rdname plotly-data #' @export filter_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) @@ -85,7 +85,7 @@ filter_.plotly <- function(.data, ..., .dots) { add_data(.data, d) } -#' @rdname dplyr-plotly +#' @rdname plotly-data #' @export distinct_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) @@ -93,7 +93,7 @@ distinct_.plotly <- function(.data, ..., .dots) { add_data(.data, d) } -#' @rdname dplyr-plotly +#' @rdname plotly-data #' @export slice_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) @@ -101,7 +101,7 @@ slice_.plotly <- function(.data, ..., .dots) { add_data(.data, d) } -#' @rdname dplyr-plotly +#' @rdname plotly-data #' @export rename_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) @@ -109,7 +109,7 @@ rename_.plotly <- function(.data, ..., .dots) { add_data(.data, d) } -#' @rdname dplyr-plotly +#' @rdname plotly-data #' @export transmute_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) @@ -117,7 +117,6 @@ transmute_.plotly <- function(.data, ..., .dots) { add_data(.data, d) } - #' Insert missing values to create trace groupings #' #' If a group of traces share the same non-positional characteristics (i.e., diff --git a/R/plotly.R b/R/plotly.R index b260219ec4..f60ab67eba 100644 --- a/R/plotly.R +++ b/R/plotly.R @@ -9,8 +9,6 @@ #' @param ... These arguments are documented at \url{https://plot.ly/r/reference/} #' Note that acceptable arguments depend on the value of \code{type}. #' @param type A character string describing the type of trace. -#' @param group Either a variable name or a vector to use for grouping. If used, -#' a different trace will be created for each unique value. #' @param color Either a variable name or a vector to use for color mapping. #' @param colors Either a colorbrewer2.org palette name (e.g. "YlOrRd" or "Blues"), #' or a vector of colors to interpolate in hexadecimal "#RRGGBB" format, @@ -38,6 +36,7 @@ #' # change the font #' layout(p3, font = list(family = "Courier New, monospace")) #' +#' #' # using the color argument #' plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop, mode = "markers") #' plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop, @@ -56,32 +55,37 @@ #' } #' plot_ly <- function(data = data.frame(), ..., type = NULL, - group, color, colors, symbol, symbols, size, + color, colors, symbol, symbols, size, width = NULL, height = NULL, inherit = FALSE, source = "A") { # "native" plotly arguments argz <- list(...) # old arguments to this function that are no longer supported - if (!is.null(argz$filename)) - warning("Ignoring filename. Use plotly_POST() if you want to post figures to plotly.") - if (!is.null(argz$fileopt)) - warning("Ignoring fileopt. Use plotly_POST() if you want to post figures to plotly.") - if (!is.null(argz$world_readable)) - warning("Ignoring world_readable. Use plotly_POST() if you want to post figures to plotly.") + for (i in c("filename", "fileopt", "world_readable")) { + if (is.null(argz[[i]])) next + warning("Ignoring ", i, ". Use plotly_POST() if you want to post figures to plotly.") + } + if (!is.null(argz[["group"]])) { + warning("The group argument has been deprecated. Use group_by() instead.") + } + + # if type is NULL, return the default trace type with a message + # if type is invalid, throw an error + argz$type <- verify_type(type) # tack on "special" arguments - argz$group <- verify_arg(group) argz$color <- verify_arg(color) argz$symbol <- verify_arg(symbol) argz$size <- verify_arg(size) # TODO: do we really need to verify these? argz$colors <- verify_arg(colors) argz$symbols <- verify_arg(symbols) - argz$type <- verify_type(type) # id for tracking attribute mappings and finding the most current data id <- new_id() + # avoid weird naming clashes + plotlyVisDat <- data p <- list( - visdat = setNames(list(function() data), id), + visdat = setNames(list(function() plotlyVisDat), id), cur_data = id, attrs = setNames(list(argz), id), # we always deal with a _list_ of traces and _list_ of layouts diff --git a/R/plotly_build.R b/R/plotly_build.R index 00c4dd7437..9d74e85b2e 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -52,8 +52,14 @@ plotly_build.plotly <- function(p) { is_formula <- vapply(x, is.formula, logical(1)) fl <- lazyeval::as_f_list(x[is_formula] %||% list()) + d <- plotly_data(p, y) + grps <- dplyr::groups(d) + # insert missing values to differentiate groups + if (length(grps) > 0) { + d <- group2NA(d, as.character(grps)) + } for (var in names(fl)) { - x[[var]] <- lazyeval::f_eval(fl[[var]], plotly_data(p, y)) + x[[var]] <- lazyeval::f_eval(fl[[var]], d) varname <- sub("^~", "", deparse2(fl[[var]])) # deparse axis names and add to layout if (any(c("x", "y", "z") %in% var)) { diff --git a/man/add_trace.Rd b/man/add_trace.Rd index 08d97d8f08..65a3f9d234 100644 --- a/man/add_trace.Rd +++ b/man/add_trace.Rd @@ -4,7 +4,7 @@ \alias{add_trace} \title{Add a trace to a plotly visualization} \usage{ -add_trace(p, ..., group, color, colors, symbol, symbols, size, data = NULL) +add_trace(p, ..., color, colors, symbol, symbols, size, data = NULL) } \arguments{ \item{p}{a plotly or ggplot object.} @@ -12,9 +12,6 @@ add_trace(p, ..., group, color, colors, symbol, symbols, size, data = NULL) \item{...}{These arguments are documented in the references section below. Note that acceptable arguments depend on the trace type.} -\item{group}{Either a variable name or a vector to use for grouping. If used, -a different trace will be created for each unique value.} - \item{color}{Either a variable name or a vector to use for color mapping.} \item{colors}{Either a colorbrewer2.org palette name (e.g. "YlOrRd" or "Blues"), diff --git a/man/group_by.Rd b/man/group_by.Rd deleted file mode 100644 index 29302f0fdc..0000000000 --- a/man/group_by.Rd +++ /dev/null @@ -1,18 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/dplyr.R -\name{group_by} -\alias{group_by} -\title{Divide data into groups.} -\arguments{ -\item{p}{a plotly visualization.} - -\item{...}{variables to group by.} - -\item{add}{By default, when \code{add = FALSE}, \code{group_by} will -override existing groups. To instead add to the existing groups, -use \code{add = TRUE}} -} -\description{ -Divide data into groups. -} - diff --git a/man/plot_ly.Rd b/man/plot_ly.Rd index ab138656da..da2c63ffea 100644 --- a/man/plot_ly.Rd +++ b/man/plot_ly.Rd @@ -4,7 +4,7 @@ \alias{plot_ly} \title{Initiate a plotly visualization} \usage{ -plot_ly(data = data.frame(), ..., type = NULL, group, color, colors, symbol, +plot_ly(data = data.frame(), ..., type = NULL, color, colors, symbol, symbols, size, width = NULL, height = NULL, inherit = FALSE, source = "A") } @@ -16,9 +16,6 @@ Note that acceptable arguments depend on the value of \code{type}.} \item{type}{A character string describing the type of trace.} -\item{group}{Either a variable name or a vector to use for grouping. If used, -a different trace will be created for each unique value.} - \item{color}{Either a variable name or a vector to use for color mapping.} \item{colors}{Either a colorbrewer2.org palette name (e.g. "YlOrRd" or "Blues"), @@ -59,6 +56,7 @@ p3 <- layout(p2, title = "Median duration of unemployment (in weeks)") # change the font layout(p3, font = list(family = "Courier New, monospace")) + # using the color argument plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop, mode = "markers") plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop, diff --git a/man/dplyr-plotly.Rd b/man/plotly-data.Rd similarity index 58% rename from man/dplyr-plotly.Rd rename to man/plotly-data.Rd index f880882b71..a55ae3a7a0 100644 --- a/man/dplyr-plotly.Rd +++ b/man/plotly-data.Rd @@ -1,18 +1,20 @@ % Generated by roxygen2: do not edit by hand % Please edit documentation in R/dplyr.R -\name{groups.plotly} +\name{plotly-data} \alias{arrange_.plotly} \alias{distinct_.plotly} \alias{filter_.plotly} \alias{group_by_.plotly} \alias{groups.plotly} \alias{mutate_.plotly} +\alias{plotly-data} \alias{rename_.plotly} \alias{select_.plotly} \alias{slice_.plotly} \alias{summarise_.plotly} \alias{transmute_.plotly} \alias{ungroup.plotly} +\title{Data manipulation verbs for plotly.} \usage{ groups.plotly(x) @@ -38,4 +40,29 @@ rename_.plotly(.data, ..., .dots) transmute_.plotly(.data, ..., .dots) } +\description{ +Data manipulation verbs for plotly. +} +\examples{ + +# loading dplyr is super important! +library(dplyr) + +mtcars \%>\% + plot_ly(x = ~wt, y = ~mpg, name = "scatter trace") \%>\% + filter(cyl == 4) \%>\% + add_points(x = ~wt, y = ~mpg, name = "filtered points", + marker = list(color = "red")) + +library(tidyr) +economics \%>\% + gather(variable, value, -date) \%>\% + group_by(variable) \%>\% + plot_ly(x = ~date, y = ~value) + + + + +} +\keyword{internal} diff --git a/man/plotly-ggvis.Rd b/man/plotly-ggvis.Rd deleted file mode 100644 index 68297abf99..0000000000 --- a/man/plotly-ggvis.Rd +++ /dev/null @@ -1,18 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/dplyr.R -\name{plotly-ggvis} -\alias{plotly-ggvis} -\title{Dplyr verbs for plotly.} -\description{ -Dplyr verbs for plotly. -} -\examples{ - -library(dplyr) -plot_ly(mtcars, x = ~wt, y = ~mpg) \%>\% - filter(cyl == 4) \%>\% - add_points() - -} -\keyword{internal} - From becb1226bec97915ab8f398324938b14f35c972f Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Wed, 1 Jun 2016 11:24:37 +1000 Subject: [PATCH 08/73] always inherit arguments from plot_ly() --- NAMESPACE | 12 +- NEWS | 8 +- R/add.R | 70 +++++++- R/helpers.R | 16 +- R/plotly.R | 10 +- R/plotly_build.R | 4 +- R/plotly_data.R | 163 ++++++++++++++++++ R/utils.R | 5 - inst/docs.R | 5 +- .../lib/plotlyjs/plotly-latest.min.js | 78 ++++----- man/add_chull.Rd | 14 ++ man/add_polygons.Rd | 17 ++ man/group2NA.Rd | 23 ++- man/plot_ly.Rd | 5 +- man/plotly-data.Rd | 6 +- man/plotly_data.Rd | 69 ++++++++ man/plotly_spec.Rd | 4 +- 17 files changed, 431 insertions(+), 78 deletions(-) create mode 100644 R/plotly_data.R create mode 100644 man/add_chull.Rd create mode 100644 man/add_polygons.Rd create mode 100644 man/plotly_data.Rd diff --git a/NAMESPACE b/NAMESPACE index c919d9dd3c..c0001103cf 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,5 +1,7 @@ # Generated by roxygen2: do not edit by hand +S3method(arrange_,plotly) +S3method(distinct_,plotly) S3method(geom2trace,GeomBar) S3method(geom2trace,GeomBlank) S3method(geom2trace,GeomBoxplot) @@ -13,6 +15,7 @@ S3method(geom2trace,GeomTile) S3method(geom2trace,default) S3method(ggplotly,ggmatrix) S3method(ggplotly,ggplot) +S3method(group_by_,plotly) S3method(layout,matrix) S3method(layout,plotly) S3method(plotly_build,default) @@ -45,16 +48,19 @@ S3method(to_basic,GeomViolin) S3method(to_basic,GeomVline) S3method(to_basic,default) export("%>%") +export(add_annotation) +export(add_chull) export(add_data) export(add_lines) export(add_points) export(add_polygons) +export(add_ribbons) +export(add_shape) export(add_text) export(add_trace) -export(arrange_.plotly) +export(add_transform) export(as.widget) export(config) -export(distinct_.plotly) export(embed_notebook) export(event_data) export(export) @@ -63,7 +69,6 @@ export(geom2trace) export(get_figure) export(gg2list) export(ggplotly) -export(group_by_.plotly) export(groups.plotly) export(knit_print.plotly_figure) export(layout) @@ -75,6 +80,7 @@ export(plotlyOutput) export(plotly_IMAGE) export(plotly_POST) export(plotly_build) +export(plotly_data) export(plotly_empty) export(plotly_spec) export(rename_.plotly) diff --git a/NEWS b/NEWS index 478e7ffd9f..7a04124a35 100644 --- a/NEWS +++ b/NEWS @@ -4,12 +4,15 @@ MAJOR CHANGES & IMPROVEMENTS: * Formulas (instead of plain expressions) are now required when referring to variable names. For example, `plot_ly(mtcars, x = wt, y = mpg, color = vs)` should now be `plot_ly(mtcars, x = ~wt, y = ~mpg, color = ~vs)`. This is a major breaking change, but it is necessary to ensure that evaluation is correct in all contexts (as a result, `evaluate` argument is now deprecated). It also has the benefit of being easier to program with (i.e., writing your own custom functions that wrap `plot_ly()`). For more details, see the [lazyeval vignette](https://github.com/hadley/lazyeval/blob/master/vignettes/lazyeval.Rmd) * The central object (i.e., the return value and first argument to functions) is now an htmlwidget object (instead of a data frame with a special attribute tracking visual mappings). As a result, plotly objects can now be serialized across R sessions and avoid [memory leak issues](https://github.com/rstudio/shiny/issues/1151). This also implies that arbitrary data manipulation functions can no longer be intermingled inside a plot pipeline, but plotly methods for dplyr's data manipulation verbs are now provided (see `help("plotly-data")` for more details). -* The `group` argument has been deprecated in favor of `group_by()`. Also, groupings will no longer create multiple traces (fixes #418, #381, #577). +* The `group` argument is deprecated. Groups should be added to the data via `dplyr::group_by()`. Also, groupings will no longer create multiple traces (fixes #418, #381, #577). +* The `inherit` argument is deprecated. Any arguments/attributes specified in `plot_ly()` will automatically be passed along to additional traces added via `add_trace()` (or any of it's `add_*()` siblings). + +Traces created via `add_trace()` (or, more generally, by any `add_*()` function), will inherit _required_ attributes from parent traces. NEW FEATURES & IMPROVEMENTS: -* Error checking for trace types. +* Error checking for trace types and their attributes. * New `add_points()`/`add_lines()`/`add_text()` functions provide a shorthand for common plots. * New `toWebGL()` function for easy conversion from SVG to WebGL. * New `export()` function makes it easy to save plots as png/jpeg/pdf (fixes #311). @@ -17,7 +20,6 @@ NEW FEATURES & IMPROVEMENTS: * Added a `plotly_spec()` function for inspecting the data sent to plotly.js (as an R list or JSON). - 3.6.2 -- 24 May 2016 CHANGES: diff --git a/R/add.R b/R/add.R index d755124909..18924ab073 100644 --- a/R/add.R +++ b/R/add.R @@ -35,6 +35,12 @@ add_data <- function(p, data = NULL) { #' @references \url{https://plot.ly/r/reference/} #' @author Carson Sievert #' @export +#' @examples +#' +#' p <- plot_ly(economics, x = ~date, y = ~uempmed) +#' # add a loess smoother +#' p2 <- add_trace(p, y = ~fitted(loess(uempmed ~ as.numeric(date)))) +#' add_trace <- function(p, ..., color, colors, symbol, symbols, size, data = NULL) { # "native" plotly arguments @@ -54,7 +60,14 @@ add_trace <- function(p, ..., argz$size <- verify_arg(size) p <- add_data(p, data) - p$x$attrs[[p$x$cur_data]] <- argz + + # inherit arguments from the "first layer" + new_attrs <- modifyList(p$x$attrs[[1]] %||% list(), argz) + p$x$attrs <- c( + p$x$attrs %||% list(), + setNames(list(new_attrs), p$x$cur_data) + ) + p } @@ -74,8 +87,61 @@ add_text <- function(p, ...) { } #' @export +#' @examples +#' +#' library(dplyr) +#' data(canada.cities, package = "maps") +#' +#' ggplot2::map_data("world", "canada") %>% +#' group_by(group) %>% +#' plot_ly(x = ~long, y = ~lat, hoverinfo = "none") %>% +#' add_points(text = ~paste(name, "
", pop), hoverinfo = "text", +#' data = canada.cities) %>% +#' layout(showlegend = FALSE) add_polygons <- function(p, ...) { # TODO: Should mode='markers+lines'? If so, retrace first points? - add_trace(p, type = "scatter", mode = "none", fill = "toself", ...) + add_trace(p, type = "scatter", mode = "lines", fill = "toself", ...) } +#' @export +add_ribbons <- function(p, ...) { + # TODO: Should mode='markers+lines'? If so, retrace first points? + add_polygons(...) +} + + +#' @export +#' @examples +#' +#' x <- rnorm(10) +#' plot_ly(x = ~x) %>% +#' add_chull() +add_chull <- function(p, ...) { + stop("not yet implemented") + ch <- chull(x, y = NULL) + # TODO: Should mode='markers+lines'? If so, retrace first points? + add_polygons(...) +} + + +# ------------------------------------------------------------------------ +# Non-trace addition +# ------------------------------------------------------------------------ + +#' @export +add_transform <- function(p, ...) { + stop("not yet implemented") +} + + +#' @export +add_shape <- function(p, ...) { + stop("not yet implemented") +} + +#' @export +add_annotation <- function(p, ...) { + stop("not yet implemented") +} + + diff --git a/R/helpers.R b/R/helpers.R index 609e97fb10..4cdb343b94 100644 --- a/R/helpers.R +++ b/R/helpers.R @@ -4,17 +4,21 @@ #' debugging. #' #' @param p a plotly or ggplot object. +#' @param attr focus on a particular attribute in the spec. #' @param as in what format should the spec be printed? -#' @param ... arguments passed onto \code{jsonlite::toJSON} +#' @param pretty adds indentation whitespace to JSON output. #' @export #' @examples #' -#' plotly_spec(plot_ly(), as = "json", pretty = TRUE) +#' plotly_spec(plot_ly(), "data") -plotly_spec <- function(p = plot_ly(), as = c("plain", "json"), ...) { +plotly_spec <- function(p = plot_ly(), attr = NULL, as = c("json", "plain"), pretty = TRUE) { spec <- plotly_build(p)$x + if (!is.null(attr)) { + spec <- spec[[attr]] + } if (identical("json", match.arg(as))) { - return(to_JSON(spec, ...)) + return(to_JSON(spec, pretty = pretty)) } spec } @@ -56,11 +60,11 @@ toWebGL <- function(p, warn = TRUE) { #' Useful when used with \link{subplot} #' #' @export -plotly_empty <- function() { +plotly_empty <- function(...) { eaxis <- list( showticklabels = FALSE, showgrid = FALSE, zeroline = FALSE ) - layout(plot_ly(), xaxis = eaxis, yaxis = eaxis) + layout(plot_ly(...), xaxis = eaxis, yaxis = eaxis) } diff --git a/R/plotly.R b/R/plotly.R index f60ab67eba..164e3a1c34 100644 --- a/R/plotly.R +++ b/R/plotly.R @@ -19,7 +19,6 @@ #' @param size A variable name or numeric vector to encode the size of markers. #' @param width Width in pixels (optional, defaults to automatic sizing). #' @param height Height in pixels (optional, defaults to automatic sizing). -#' @param inherit logical. Should future traces inherit properties from this initial trace? #' @param source Only relevant for \link{event_data}. #' @seealso \code{\link{layout}()}, \code{\link{add_trace}()}, \code{\link{style}()} #' @author Carson Sievert @@ -28,7 +27,7 @@ #' \dontrun{ #' data(economics, package = "ggplot2") #' # basic time-series plot -#' p <- plot_ly(economics, x = ~date, y = ~uempmed, inherit = TRUE) +#' p <- plot_ly(economics, x = ~date, y = ~uempmed) #' # add a loess smoother #' p2 <- add_trace(p, y = ~fitted(loess(uempmed ~ as.numeric(date)))) #' # add a title @@ -56,8 +55,7 @@ #' plot_ly <- function(data = data.frame(), ..., type = NULL, color, colors, symbol, symbols, size, - width = NULL, height = NULL, inherit = FALSE, - source = "A") { + width = NULL, height = NULL, source = "A") { # "native" plotly arguments argz <- list(...) # old arguments to this function that are no longer supported @@ -68,6 +66,9 @@ plot_ly <- function(data = data.frame(), ..., type = NULL, if (!is.null(argz[["group"]])) { warning("The group argument has been deprecated. Use group_by() instead.") } + if (!is.null(argz[["inherit"]])) { + warning("The inherit argument has been deprecated.") + } # if type is NULL, return the default trace type with a message # if type is invalid, throw an error @@ -97,7 +98,6 @@ plot_ly <- function(data = data.frame(), ..., type = NULL, margin = list(b = 40, l = 60, t = 25, r = 10) ), config = list(modeBarButtonsToRemove = I("sendDataToCloud")), - inherit = inherit, base_url = get_domain() ) diff --git a/R/plotly_build.R b/R/plotly_build.R index 9d74e85b2e..a31adeabc6 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -42,11 +42,11 @@ plotly_build.plotly <- function(p) { x[lengths(x) > 0] }, p$x$layoutAttrs, names(p$x$layoutAttrs)) - + # get rid of the data -> layout mapping and merge all the layouts # into a single layout (more recent layouts will override older ones) p$x$layoutAttrs <- NULL - p$x$layout <- modifyList(p$x$layout %||% list(), layouts) + p$x$layout <- modifyList(p$x$layout %||% list(), Reduce(modifyList, layouts)) dats <- Map(function(x, y) { diff --git a/R/plotly_data.R b/R/plotly_data.R new file mode 100644 index 0000000000..3333369e82 --- /dev/null +++ b/R/plotly_data.R @@ -0,0 +1,163 @@ +#' View and manipulate data associated with a plotly graph +#' +#' \code{plotly_data()} returns the data associated with +#' a plotly visualization. This data can be manipulated via +#' the dplyr and tidyr verbs listed below: +#' +#' +#' @name plotly_data +#' @keywords internal +#' @examples +#' +#' # loading dplyr is super important! +#' library(dplyr) +#' +#' mtcars %>% +#' plot_ly(x = ~wt, y = ~mpg, name = "scatter trace") %>% +#' filter(cyl == 4) %>% +#' add_points(x = ~wt, y = ~mpg, name = "filtered points", +#' marker = list(color = "red")) +#' +#' library(tidyr) +#' economics %>% +#' gather(variable, value, -date) %>% +#' group_by(variable) %>% +#' plot_ly(x = ~date, y = ~value) +#' +NULL + +#' @export +#' @rdname plotly_data +plotly_data <- function(p, id = p$x$cur_data) { + p$x$visdat[[id]]() %||% data.frame() +} + +#' @export +#' @rdname plotly_data +groups.plotly <- function(x) { + dplyr::groups(plotly_data(x)) +} + +#' @export +#' @rdname plotly_data +group_by_.plotly <- function(.data, ..., .dots, add = FALSE) { + d <- plotly_data(.data) + d <- dplyr::group_by_(d, .dots = lazyeval::all_dots(.dots, ...), add = add) + # TODO: where to use group2NA? In plotly_build() + add_data(.data, d) +} + +#' @export +#' @rdname plotly_data +ungroup.plotly <- function(x) { + dplyr::ungroup(plotly_data(x)) +} + +#' @rdname plotly_data +#' @export +summarise_.plotly <- function(.data, ..., .dots) { + d <- plotly_data(.data) + d <- dplyr::summarise_(d, .dots = lazyeval::all_dots(.dots, ...)) + add_data(.data, d) +} + +#' @rdname plotly_data +#' @export +mutate_.plotly <- function(.data, ..., .dots) { + d <- plotly_data(.data) + d <- dplyr::mutate_(d, .dots = lazyeval::all_dots(.dots, ...)) + add_data(.data, d) +} + +#' @rdname plotly_data +#' @export +arrange_.plotly <- function(.data, ..., .dots) { + d <- plotly_data(.data) + d <- dplyr::arrange_(d, .dots = lazyeval::all_dots(.dots, ...)) + add_data(.data, d) +} + +#' @rdname plotly_data +#' @export +select_.plotly <- function(.data, ..., .dots) { + d <- plotly_data(.data) + d <- dplyr::select_(d, .dots = lazyeval::all_dots(.dots, ...)) + add_data(.data, d) +} + +#' @rdname plotly_data +#' @export +filter_.plotly <- function(.data, ..., .dots) { + d <- plotly_data(.data) + d <- dplyr::filter_(d, .dots = lazyeval::all_dots(.dots, ...)) + add_data(.data, d) +} + +#' @rdname plotly_data +#' @export +distinct_.plotly <- function(.data, ..., .dots) { + d <- plotly_data(.data) + d <- dplyr::distinct_(d, ..., .dots, add = add) + add_data(.data, d) +} + +#' @rdname plotly_data +#' @export +slice_.plotly <- function(.data, ..., .dots) { + d <- plotly_data(.data) + d <- dplyr::slice_(d, ..., .dots, add = add) + add_data(.data, d) +} + +#' @rdname plotly_data +#' @export +rename_.plotly <- function(.data, ..., .dots) { + d <- plotly_data(.data) + d <- dplyr::rename_(d, ..., .dots, add = add) + add_data(.data, d) +} + +#' @rdname plotly_data +#' @export +transmute_.plotly <- function(.data, ..., .dots) { + d <- plotly_data(.data) + d <- dplyr::transmute_(d, ..., .dots, add = add) + add_data(.data, d) +} + +#' Insert missing values to create trace groupings +#' +#' If a group of traces share the same non-positional characteristics (i.e., +#' color, fill, etc), it is more efficient to draw them as a single trace +#' with missing values that separate the groups (instead of multiple traces). +#' This is a helper function for inserting missing values into a data set +#' +#' @param data a data frame. +#' @param groupNames name(s) of the grouping variable(s) as a character vector +#' @param nested other variables that group should be nested +#' (i.e., ordered) within. +#' @param retrace.first should the first row of each group be appended to the +#' last row? This is useful for enclosing polygons with lines. +#' @examples +#' elong <- tidyr::gather(economics, variable, value, -date) +#' plot_ly(group2NA(elong, "variable"), x = ~date, y = ~value) +#' + +group2NA <- function(data, groupNames = "group", nested = NULL, + retrace.first = inherits(data, "GeomPolygon")) { + if (nrow(data) == 0) return(data) + nested <- nested[nested %in% names(data)] + if (length(nested)) { + data <- dplyr::arrange_(data, nested) + } + d <- dplyr::group_by_(data, groupNames) + d <- if (retrace.first) { + dplyr::do(d, rbind(., .[1,], NA)) + } else { + dplyr::do(d, rbind(., NA)) + } + d <- tidyr::unnest(d) + n <- nrow(d) + if (all(is.na(d[n, ]))) d <- d[-n, ] + structure(d, class = unique(class(data), class(d))) +} diff --git a/R/utils.R b/R/utils.R index bd2ad9488c..deac0953fe 100644 --- a/R/utils.R +++ b/R/utils.R @@ -26,11 +26,6 @@ new_id <- function() { basename(tempfile("")) } -# obtain the current data from a plotly vis -plotly_data <- function(p, id = p$x$cur_data) { - p$x$visdat[[id]]() -} - verify_arg <- function(arg) { if (missing(arg)) return(NULL) if (!is.formula(arg)) { diff --git a/inst/docs.R b/inst/docs.R index 1dc2137e5c..413a810494 100644 --- a/inst/docs.R +++ b/inst/docs.R @@ -440,7 +440,7 @@ g2 <- c( plot_ly(df, type = 'scattergeo', mode = 'markers', locations = Country, locationmode = 'country names', text = paste(Value, "cases"), - color = as.ordered(abbrev), marker = list(size = Value/50), inherit = F) %>% + color = as.ordered(abbrev), marker = list(size = Value/50)) %>% add_trace(type = 'scattergeo', mode = 'text', geo = 'geo2', showlegend = F, lon = 21.0936, lat = 7.1881, text = 'Africa') %>% add_trace(type = 'choropleth', locations = Country, locationmode = 'country names', @@ -470,8 +470,7 @@ geo <- list( ) plot_ly(air, lon = long, lat = lat, text = airport, type = 'scattergeo', - locationmode = 'USA-states', marker = list(size = 2, color = 'red'), - inherit = FALSE) %>% + locationmode = 'USA-states', marker = 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b=this.computedCenter,x=Math.exp(this.computedRadius[0]),c=0;3>c;++c)b[c]=m[c]-n[2+4*c]*x}},g.idle=function(t){if(!(tn;++n)e.push(e[r++]);this._time.push(t)}},g.flush=function(t){var e=a.gt(this._time,t)-2;0>e||(this._time.slice(0,e),this._components.slice(0,16*e))},g.lastT=function(){return this._time[this._time.length-1]},g.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||p,n=n||this.computedUp,this.setMatrix(t,f(this.computedMatrix,e,r,n));for(var i=0,a=0;3>a;++a)i+=Math.pow(r[a]-e[a],2);i=Math.log(Math.sqrt(i)),this.computedRadius[0]=i},g.rotate=function(t,e,r,n){this.recalcMatrix(t);var i=this.computedInverse;e&&c(i,i,e),r&&l(i,i,r),n&&u(i,i,n),this.setMatrix(t,s(this.computedMatrix,i))};var v=[0,0,0];g.pan=function(t,e,r,n){v[0]=-(e||0),v[1]=-(r||0),v[2]=-(n||0),this.recalcMatrix(t);var i=this.computedInverse;h(i,i,v),this.setMatrix(t,s(i,i))},g.translate=function(t,e,r,n){v[0]=e||0,v[1]=r||0,v[2]=n||0,this.recalcMatrix(t);var i=this.computedMatrix;h(i,i,v),this.setMatrix(t,i)},g.setMatrix=function(t,e){if(!(tr;++r)this._components.push(e[r])}},g.setDistance=function(t,e){this.computedRadius[0]=e},g.setDistanceLimits=function(t,e){var r=this._limits;r[0]=t,r[1]=e},g.getDistanceLimits=function(t){var e=this._limits;return t?(t[0]=e[0],t[1]=e[1],t):e}},{"binary-search-bounds":29,"gl-mat4/invert":96,"gl-mat4/lookAt":97,"gl-mat4/rotateX":101,"gl-mat4/rotateY":102,"gl-mat4/rotateZ":103,"gl-mat4/scale":104,"gl-mat4/translate":105,"gl-vec3/normalize":27,"mat4-interpolate":30}],29:[function(t,e,r){arguments[4][21][0].apply(r,arguments)},{dup:21}],30:[function(t,e,r){function n(t,e,r,n){if(0===u(e)||0===u(r))return!1;var i=c(e,h.translate,h.scale,h.skew,h.perspective,h.quaternion),a=c(r,d.translate,d.scale,d.skew,d.perspective,d.quaternion);return i&&a?(s(p.translate,h.translate,d.translate,n),s(p.skew,h.skew,d.skew,n),s(p.scale,h.scale,d.scale,n),s(p.perspective,h.perspective,d.perspective,n),f(p.quaternion,h.quaternion,d.quaternion,n),l(t,p.translate,p.scale,p.skew,p.perspective,p.quaternion),!0):!1}function i(){return{translate:a(),scale:a(1),skew:a(),perspective:o(),quaternion:o()}}function a(t){return[t||0,t||0,t||0]}function o(){return[0,0,0,1]}var s=t("gl-vec3/lerp"),l=t("mat4-recompose"),c=t("mat4-decompose"),u=t("gl-mat4/determinant"),f=t("quat-slerp"),h=i(),d=i(),p=i();e.exports=n},{"gl-mat4/determinant":92,"gl-vec3/lerp":26,"mat4-decompose":31,"mat4-recompose":33,"quat-slerp":34}],31:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3];return t[0]=r[0]*n+r[4]*i+r[8]*a+r[12]*o,t[1]=r[1]*n+r[5]*i+r[9]*a+r[13]*o,t[2]=r[2]*n+r[6]*i+r[10]*a+r[14]*o,t[3]=r[3]*n+r[7]*i+r[11]*a+r[15]*o,t}function i(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}function a(t,e,r,n,i){t[0]=e[0]*n+r[0]*i,t[1]=e[1]*n+r[1]*i,t[2]=e[2]*n+r[2]*i}var o=t("./normalize"),s=t("gl-mat4/create"),l=t("gl-mat4/clone"),c=t("gl-mat4/determinant"),u=t("gl-mat4/invert"),f=t("gl-mat4/transpose"),h={length:t("gl-vec3/length"),normalize:t("gl-vec3/normalize"),dot:t("gl-vec3/dot"),cross:t("gl-vec3/cross")},d=s(),p=s(),g=[0,0,0,0],v=[[0,0,0],[0,0,0],[0,0,0]],m=[0,0,0];e.exports=function(t,e,r,s,y,b){if(e||(e=[0,0,0]),r||(r=[0,0,0]),s||(s=[0,0,0]),y||(y=[0,0,0,1]),b||(b=[0,0,0,1]),!o(d,t))return!1;if(l(p,d),p[3]=0,p[7]=0,p[11]=0,p[15]=1,Math.abs(c(p)<1e-8))return!1;var x=d[3],_=d[7],w=d[11],k=d[12],A=d[13],M=d[14],T=d[15];if(0!==x||0!==_||0!==w){g[0]=x,g[1]=_,g[2]=w,g[3]=T;var E=u(p,p);if(!E)return!1;f(p,p),n(y,g,p)}else y[0]=y[1]=y[2]=0,y[3]=1;if(e[0]=k,e[1]=A,e[2]=M,i(v,d),r[0]=h.length(v[0]),h.normalize(v[0],v[0]),s[0]=h.dot(v[0],v[1]),a(v[1],v[1],v[0],1,-s[0]),r[1]=h.length(v[1]),h.normalize(v[1],v[1]),s[0]/=r[1],s[1]=h.dot(v[0],v[2]),a(v[2],v[2],v[0],1,-s[1]),s[2]=h.dot(v[1],v[2]),a(v[2],v[2],v[1],1,-s[2]),r[2]=h.length(v[2]),h.normalize(v[2],v[2]),s[1]/=r[2],s[2]/=r[2],h.cross(m,v[1],v[2]),h.dot(v[0],m)<0)for(var L=0;3>L;L++)r[L]*=-1,v[L][0]*=-1,v[L][1]*=-1,v[L][2]*=-1;return b[0]=.5*Math.sqrt(Math.max(1+v[0][0]-v[1][1]-v[2][2],0)),b[1]=.5*Math.sqrt(Math.max(1-v[0][0]+v[1][1]-v[2][2],0)),b[2]=.5*Math.sqrt(Math.max(1-v[0][0]-v[1][1]+v[2][2],0)),b[3]=.5*Math.sqrt(Math.max(1+v[0][0]+v[1][1]+v[2][2],0)),v[2][1]>v[1][2]&&(b[0]=-b[0]),v[0][2]>v[2][0]&&(b[1]=-b[1]),v[1][0]>v[0][1]&&(b[2]=-b[2]),!0}},{"./normalize":32,"gl-mat4/clone":90,"gl-mat4/create":91,"gl-mat4/determinant":92,"gl-mat4/invert":96,"gl-mat4/transpose":106,"gl-vec3/cross":23,"gl-vec3/dot":24,"gl-vec3/length":25,"gl-vec3/normalize":27}],32:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,i=0;16>i;i++)t[i]=e[i]*n;return!0}},{}],33:[function(t,e,r){var n={identity:t("gl-mat4/identity"),translate:t("gl-mat4/translate"),multiply:t("gl-mat4/multiply"),create:t("gl-mat4/create"),scale:t("gl-mat4/scale"),fromRotationTranslation:t("gl-mat4/fromRotationTranslation")},i=(n.create(),n.create());e.exports=function(t,e,r,a,o,s){return n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(i),0!==a[2]&&(i[9]=a[2],n.multiply(t,t,i)),0!==a[1]&&(i[9]=0,i[8]=a[1],n.multiply(t,t,i)),0!==a[0]&&(i[8]=0,i[4]=a[0],n.multiply(t,t,i)),n.scale(t,t,r),t}},{"gl-mat4/create":91,"gl-mat4/fromRotationTranslation":94,"gl-mat4/identity":95,"gl-mat4/multiply":98,"gl-mat4/scale":104,"gl-mat4/translate":105}],34:[function(t,e,r){e.exports=t("gl-quat/slerp")},{"gl-quat/slerp":35}],35:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],d=r[0],p=r[1],g=r[2],v=r[3];return a=c*d+u*p+f*g+h*v,0>a&&(a=-a,d=-d,p=-p,g=-g,v=-v),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*c+l*d,t[1]=s*u+l*p,t[2]=s*f+l*g,t[3]=s*h+l*v,t}e.exports=n},{}],36:[function(t,e,r){"use strict";function n(t,e,r,n,i,a,o,s,l,c){var u=e+a+c;if(f>0){var f=Math.sqrt(u+1);t[0]=.5*(o-l)/f,t[1]=.5*(s-n)/f,t[2]=.5*(r-a)/f,t[3]=.5*f}else{var h=Math.max(e,a,c),f=Math.sqrt(2*h-u+1);e>=h?(t[0]=.5*f,t[1]=.5*(i+r)/f,t[2]=.5*(s+n)/f,t[3]=.5*(o-l)/f):a>=h?(t[0]=.5*(r+i)/f,t[1]=.5*f,t[2]=.5*(l+o)/f,t[3]=.5*(s-n)/f):(t[0]=.5*(n+s)/f,t[1]=.5*(o+l)/f,t[2]=.5*f,t[3]=.5*(r-i)/f)}return t}e.exports=n},{}],37:[function(t,e,r){"use strict";function n(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function i(t,e,r,n){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function a(t,e){var r=e[0],n=e[1],a=e[2],o=e[3],s=i(r,n,a,o);s>1e-6?(t[0]=r/s,t[1]=n/s,t[2]=a/s,t[3]=o/s):(t[0]=t[1]=t[2]=0,t[3]=1)}function o(t,e,r){this.radius=l([r]),this.center=l(e),this.rotation=l(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}function s(t){t=t||{};var e=t.center||[0,0,0],r=t.rotation||[0,0,0,1],n=t.radius||1;e=[].slice.call(e,0,3),r=[].slice.call(r,0,4),a(r,r);var i=new o(r,e,Math.log(n));return i.setDistanceLimits(t.zoomMin,t.zoomMax),("eye"in t||"up"in t)&&i.lookAt(0,t.eye,t.center,t.up),i}e.exports=s;var l=t("filtered-vector"),c=t("gl-mat4/lookAt"),u=t("gl-mat4/fromQuat"),f=t("gl-mat4/invert"),h=t("./lib/quatFromFrame"),d=o.prototype;d.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},d.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;a(e,e);var r=this.computedMatrix;u(r,e);var n=this.computedCenter,i=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);i[0]=n[0]+s*r[2],i[1]=n[1]+s*r[6],i[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;3>l;++l){for(var c=0,f=0;3>f;++f)c+=r[l+4*f]*i[f];r[12+l]=-c}},d.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;16>n;++n)e[n]=r[n];return e}return r},d.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},d.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},d.pan=function(t,e,r,i){e=e||0,r=r||0,i=i||0,this.recalcMatrix(t);var a=this.computedMatrix,o=a[1],s=a[5],l=a[9],c=n(o,s,l);o/=c,s/=c,l/=c;var u=a[0],f=a[4],h=a[8],d=u*o+f*s+h*l;u-=o*d,f-=s*d,h-=l*d;var p=n(u,f,h);u/=p,f/=p,h/=p;var g=a[2],v=a[6],m=a[10],y=g*o+v*s+m*l,b=g*u+v*f+m*h;g-=y*o+b*u,v-=y*s+b*f,m-=y*l+b*h;var x=n(g,v,m);g/=x,v/=x,m/=x;var _=u*e+o*r,w=f*e+s*r,k=h*e+l*r;this.center.move(t,_,w,k);var A=Math.exp(this.computedRadius[0]);A=Math.max(1e-4,A+i),this.radius.set(t,Math.log(A))},d.rotate=function(t,e,r,a){this.recalcMatrix(t),e=e||0,r=r||0;var o=this.computedMatrix,s=o[0],l=o[4],c=o[8],u=o[1],f=o[5],h=o[9],d=o[2],p=o[6],g=o[10],v=e*s+r*u,m=e*l+r*f,y=e*c+r*h,b=-(p*y-g*m),x=-(g*v-d*y),_=-(d*m-p*v),w=Math.sqrt(Math.max(0,1-Math.pow(b,2)-Math.pow(x,2)-Math.pow(_,2))),k=i(b,x,_,w);k>1e-6?(b/=k,x/=k,_/=k,w/=k):(b=x=_=0,w=1);var A=this.computedRotation,M=A[0],T=A[1],E=A[2],L=A[3],S=M*w+L*b+T*_-E*x,C=T*w+L*x+E*b-M*_,z=E*w+L*_+M*x-T*b,P=L*w-M*b-T*x-E*_;if(a){b=d,x=p,_=g;var R=Math.sin(a)/n(b,x,_);b*=R,x*=R,_*=R,w=Math.cos(e),S=S*w+P*b+C*_-z*x,C=C*w+P*x+z*b-S*_,z=z*w+P*_+S*x-C*b,P=P*w-S*b-C*x-z*_}var O=i(S,C,z,P);O>1e-6?(S/=O,C/=O,z/=O,P/=O):(S=C=z=0,P=1),this.rotation.set(t,S,C,z,P)},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var i=this.computedMatrix;c(i,e,r,n);var o=this.computedRotation;h(o,i[0],i[1],i[2],i[4],i[5],i[6],i[8],i[9],i[10]),a(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var s=0,l=0;3>l;++l)s+=Math.pow(r[l]-e[l],2);this.radius.set(t,.5*Math.log(Math.max(s,1e-6))),this.center.set(t,r[0],r[1],r[2])},d.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},d.setMatrix=function(t,e){var r=this.computedRotation;h(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),a(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;f(n,e);var i=n[15];if(Math.abs(i)>1e-6){var o=n[12]/i,s=n[13]/i,l=n[14]/i;this.recalcMatrix(t);var c=Math.exp(this.computedRadius[0]);this.center.set(t,o-n[2]*c,s-n[6]*c,l-n[10]*c),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},d.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},d.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-(1/0),e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},d.getDistanceLimits=function(t){var e=this.radius.bounds; -return 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a=0,o=0,s=0;3>s;++s)a+=t[s]*t[s],o+=i[s]*t[s];for(var s=0;3>s;++s)i[s]-=o/a*t[s];return h(i,i),i}function o(t,e,r,n,i,a,o,s){this.center=l(r),this.up=l(n),this.right=l(i),this.radius=l([a]),this.angle=l([o,s]),this.angle.bounds=[[-(1/0),-Math.PI/2],[1/0,Math.PI/2]],this.setDistanceLimits(t,e),this.computedCenter=this.center.curve(0),this.computedUp=this.up.curve(0),this.computedRight=this.right.curve(0),this.computedRadius=this.radius.curve(0),this.computedAngle=this.angle.curve(0),this.computedToward=[0,0,0],this.computedEye=[0,0,0],this.computedMatrix=new Array(16);for(var c=0;16>c;++c)this.computedMatrix[c]=.5;this.recalcMatrix(0)}function s(t){t=t||{};var e=t.center||[0,0,0],r=t.up||[0,1,0],i=t.right||a(r),s=t.radius||1,l=t.theta||0,c=t.phi||0;if(e=[].slice.call(e,0,3),r=[].slice.call(r,0,3),h(r,r),i=[].slice.call(i,0,3),h(i,i),"eye"in t){var u=t.eye,p=[u[0]-e[0],u[1]-e[1],u[2]-e[2]];f(i,p,r),n(i[0],i[1],i[2])<1e-6?i=a(r):h(i,i),s=n(p[0],p[1],p[2]);var 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n(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1}function i(t,e){for(var r=0;3>r;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}function a(t,e,r,n){for(var i=h[n],a=0;a=1},f.isTransparent=function(){return this.opacity<1},f.drawTransparent=f.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||u,i=r.projection=t.projection||u;r.model=t.model||u,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],o=n[13],s=n[14],l=n[15],c=this.pixelRatio*(i[3]*a+i[7]*o+i[11]*s+i[15]*l)/e.drawingBufferHeight;this.vao.bind();for(var f=0;3>f;++f)e.lineWidth(this.lineWidth[f]),r.capSize=this.capSize[f]*c,e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var h=function(){for(var t=new Array(3),e=0;3>e;++e){for(var r=[],n=1;2>=n;++n)for(var i=-1;1>=i;i+=2){var a=(n+e)%3,o=[0,0,0];o[a]=i,r.push(o)}t[e]=r}return t}();f.update=function(t){t=t||{},"lineWidth"in t&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),"opacity"in t&&(this.opacity=t.opacity);var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var o=[],s=r.length,l=0;this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.lineCount=[0,0,0];for(var c=0;3>c;++c){this.lineOffset[c]=l;t:for(var u=0;s>u;++u){for(var f=r[u],h=0;3>h;++h)if(isNaN(f[h])||!isFinite(f[h]))continue t;var d=n[u],p=e[c];if(Array.isArray(p[0])&&(p=e[u]),3===p.length&&(p=[p[0],p[1],p[2],1]),!isNaN(d[0][c])&&!isNaN(d[1][c])){if(d[0][c]<0){var g=f.slice();g[c]+=d[0][c],o.push(f[0],f[1],f[2],p[0],p[1],p[2],p[3],0,0,0,g[0],g[1],g[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,g),l+=2+a(o,g,p,c)}if(d[1][c]>0){var g=f.slice();g[c]+=d[1][c],o.push(f[0],f[1],f[2],p[0],p[1],p[2],p[3],0,0,0,g[0],g[1],g[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,g),l+=2+a(o,g,p,c)}}}this.lineCount[c]=l-this.lineOffset[c]}this.buffer.update(o)}},f.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{"./shaders/index":81,"gl-buffer":77,"gl-vao":185}],81:[function(t,e,r){"use strict";var n=t("gl-shader"),i="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n vec4 worldPosition = model * vec4(position, 1.0);\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n gl_Position = projection * view * worldPosition;\n fragColor = color;\n fragPosition = position;\n}",a="precision mediump float;\n#define GLSLIFY 1\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n if(any(lessThan(fragPosition, clipBounds[0])) || any(greaterThan(fragPosition, clipBounds[1]))) {\n discard;\n }\n gl_FragColor = opacity * fragColor;\n}";e.exports=function(t){return n(t,i,a,null,[{name:"position",type:"vec3"},{name:"offset",type:"vec3"},{name:"color",type:"vec4"}])}},{"gl-shader":156}],82:[function(t,e,r){"use strict";function n(t){var e=t.getParameter(t.FRAMEBUFFER_BINDING),r=t.getParameter(t.RENDERBUFFER_BINDING),n=t.getParameter(t.TEXTURE_BINDING_2D);return[e,r,n]}function i(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function a(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);y=new Array(r+1);for(var n=0;r>=n;++n){for(var i=new Array(r),a=0;n>a;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(var a=n;r>a;++a)i[a]=t.NONE;y[n]=i}}function o(t){switch(t){case p:throw new Error("gl-fbo: Framebuffer unsupported");case g:throw new Error("gl-fbo: Framebuffer incomplete attachment");case v:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case m:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function s(t,e,r,n,i,a){if(!n)return null;var o=d(t,e,r,i,n);return o.magFilter=t.NEAREST,o.minFilter=t.NEAREST,o.mipSamples=1,o.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,a,t.TEXTURE_2D,o.handle,0),o}function l(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function c(t){var e=n(t.gl),r=t.gl,a=t.handle=r.createFramebuffer(),c=t._shape[0],u=t._shape[1],f=t.color.length,h=t._ext,d=t._useStencil,p=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,a);for(var v=0;f>v;++v)t.color[v]=s(r,c,u,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===f?(t._color_rb=l(r,c,u,r.RGBA4,r.COLOR_ATTACHMENT0),h&&h.drawBuffersWEBGL(y[0])):f>1&&h.drawBuffersWEBGL(y[f]);var m=r.getExtension("WEBGL_depth_texture");m?d?t.depth=s(r,c,u,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p&&(t.depth=s(r,c,u,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):p&&d?t._depth_rb=l(r,c,u,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p?t._depth_rb=l(r,c,u,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=l(r,c,u,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var b=r.checkFramebufferStatus(r.FRAMEBUFFER);if(b!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(var v=0;vl;++l)this.color[l]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var u=this,f=[0|e,0|r];Object.defineProperties(f,{0:{get:function(){return u._shape[0]},set:function(t){return u.width=t}},1:{get:function(){return u._shape[1]},set:function(t){return u.height=t}}}),this._shapeVector=f,c(this)}function f(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var a=t.gl,s=a.getParameter(a.MAX_RENDERBUFFER_SIZE);if(0>e||e>s||0>r||r>s)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var l=n(a),c=0;ce||e>o||0>r||r>o)throw new Error("gl-fbo: Parameters are too large for FBO");n=n||{};var s=1;if("color"in n){if(s=Math.max(0|n.color,0),0>s)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(s>1){if(!i)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(s>t.getParameter(i.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+s+" draw buffers")}}var l=t.UNSIGNED_BYTE,c=t.getExtension("OES_texture_float");if(n.float&&s>0){if(!c)throw new Error("gl-fbo: Context does not support floating point textures");l=t.FLOAT}else n.preferFloat&&s>0&&c&&(l=t.FLOAT);var f=!0;"depth"in n&&(f=!!n.depth);var h=!1;return"stencil"in n&&(h=!!n.stencil),new u(t,e,r,l,s,f,h,i)}var d=t("gl-texture2d");e.exports=h;var p,g,v,m,y=null,b=u.prototype;Object.defineProperties(b,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return f(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return t=0|t,f(this,t,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t=0|t,f(this,this._shape[0],t),t},enumerable:!1}}),b.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},b.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e2&&!this.usingDashes){var C=this.mitreShader;C.bind();var z=C.uniforms;z.matrix=t,z.color=s,z.screenShape=e,z.radius=l*p,C.attributes.p.pointer(f.FLOAT,!1,48,0),f.drawArrays(f.POINTS,0,u/3|0)}}}}(),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0],r=[0,0,0,0];return function(n){var i=this.plot,a=this.pickShader,o=this.lineBuffer,s=this.pickBuffer,l=this.width,c=this.numPoints,u=this.bounds,f=this.vertCount,h=i.gl,d=i.viewBox,p=i.dataBox,g=i.pickPixelRatio,v=u[2]-u[0],m=u[3]-u[1],y=p[2]-p[0],b=p[3]-p[1],x=d[2]-d[0],_=d[3]-d[1];if(this.pickOffset=n,!f)return n+c;t[0]=2*v/y,t[4]=2*m/b,t[6]=2*(u[0]-p[0])/y-1,t[7]=2*(u[1]-p[1])/b-1,e[0]=x,e[1]=_,r[0]=255&n,r[1]=n>>>8&255,r[2]=n>>>16&255,r[3]=n>>>24,a.bind();var w=a.uniforms;w.matrix=t,w.width=l*g,w.pickOffset=r,w.screenShape=e;var k=a.attributes;return o.bind(),k.a.pointer(h.FLOAT,!1,16,0),k.d.pointer(h.FLOAT,!1,16,8),s.bind(),k.pick0.pointer(h.UNSIGNED_BYTE,!1,8,0),k.pick1.pointer(h.UNSIGNED_BYTE,!1,8,4),h.drawArrays(h.TRIANGLES,0,f),n+c}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(n>r||r>=n+i)return null;var a=r-n,o=this.data;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},h.update=function(t){t=t||{};var e=this.plot.gl;!!t.connectGaps;this.color=(t.color||[0,0,1,1]).slice(),this.width=+(t.width||1),this.fill=(t.fill||[!1,!1,!1,!1]).slice(),this.fillColor=i(t.fillColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);for(var r=t.dashes||[1],n=0,a=0;a1,this.dashPattern=l(e,c(o,[n,1,4],[1,0,0])),this.dashPattern.minFilter=e.NEAREST,this.dashPattern.magFilter=e.NEAREST,this.dashLength=n,u.free(o);var d=t.positions;this.data=d;var p=this.bounds;p[0]=p[1]=1/0,p[2]=p[3]=-(1/0);var g=this.numPoints=d.length>>>1;if(0!==g){for(var a=0;g>a;++a){var v=d[2*a],m=d[2*a+1];isNaN(v)||isNaN(m)||(p[0]=Math.min(p[0],v),p[1]=Math.min(p[1],m),p[2]=Math.max(p[2],v),p[3]=Math.max(p[3],m))}p[0]===p[2]&&(p[2]+=1),p[3]===p[1]&&(p[3]+=1);for(var y=u.mallocFloat32(24*(g-1)),b=u.mallocUint32(12*(g-1)),x=y.length,_=b.length,s=g,w=0;s>1;){var k=--s,v=d[2*s],m=d[2*s+1],A=k-1,M=d[2*A],T=d[2*A+1];if(!(isNaN(v)||isNaN(m)||isNaN(M)||isNaN(T))){w+=1,v=(v-p[0])/(p[2]-p[0]),m=(m-p[1])/(p[3]-p[1]),M=(M-p[0])/(p[2]-p[0]),T=(T-p[1])/(p[3]-p[1]);var E=M-v,L=T-m,S=k|1<<24,C=k-1,z=k,P=k-1|1<<24;y[--x]=-L,y[--x]=-E,y[--x]=m,y[--x]=v,b[--_]=S,b[--_]=C,y[--x]=L,y[--x]=E,y[--x]=T,y[--x]=M,b[--_]=z,b[--_]=P,y[--x]=-L,y[--x]=-E,y[--x]=T,y[--x]=M,b[--_]=z,b[--_]=P,y[--x]=L,y[--x]=E,y[--x]=T,y[--x]=M,b[--_]=z,b[--_]=P,y[--x]=-L,y[--x]=-E,y[--x]=m,y[--x]=v,b[--_]=S,b[--_]=C,y[--x]=L,y[--x]=E,y[--x]=m,y[--x]=v,b[--_]=S,b[--_]=C}}this.vertCount=6*w,this.lineBuffer.update(y.subarray(x)),this.pickBuffer.update(b.subarray(_)),u.free(y),u.free(b)}},h.dispose=function(){this.plot.removeObject(this),this.lineBuffer.dispose(),this.pickBuffer.dispose(),this.lineShader.dispose(),this.mitreShader.dispose(),this.fillShader.dispose(),this.pickShader.dispose(),this.dashPattern.dispose()}},{"./lib/shaders":83,"gl-buffer":77,"gl-shader":156,"gl-texture2d":181,ndarray:212,"typedarray-pool":237}],85:[function(t,e,r){var n=t("gl-shader"),i="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvoid main() {\n vec4 projected = projection * view * model * vec4(position, 1.0);\n vec4 tangentClip = projection * view * model * vec4(nextPosition - position, 0.0);\n vec2 tangent = normalize(screenShape * tangentClip.xy);\n vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(tangent.y, -tangent.x) / screenShape;\n\n gl_Position = vec4(projected.xy + projected.w * offset, projected.zw);\n\n worldPosition = position;\n pixelArcLength = arcLength;\n fragColor = color;\n}\n",a="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float dashScale;\nuniform float opacity;\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\n discard;\n }\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n if(dashWeight < 0.5) {\n discard;\n }\n gl_FragColor = fragColor * opacity;\n}\n",o="precision mediump float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX 1.70141184e38\n#define FLOAT_MIN 1.17549435e-38\n\nlowp vec4 encode_float_1_0(highp float v) {\n highp float av = abs(v);\n\n //Handle special cases\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n }\n\n highp vec4 c = vec4(0,0,0,0);\n\n //Compute exponent and mantissa\n highp float e = floor(log2(av));\n highp float m = av * pow(2.0, -e) - 1.0;\n \n //Unpack mantissa\n c[1] = floor(128.0 * m);\n m -= c[1] / 128.0;\n c[2] = floor(32768.0 * m);\n m -= c[2] / 32768.0;\n c[3] = floor(8388608.0 * m);\n \n //Unpack exponent\n highp float ebias = e + 127.0;\n c[0] = floor(ebias / 2.0);\n ebias -= c[0] * 2.0;\n c[1] += floor(ebias) * 128.0; \n\n //Unpack sign bit\n c[0] += 128.0 * step(0.0, -v);\n\n //Scale back to range\n return c / 255.0;\n}\n\n\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\n discard;\n }\n gl_FragColor = vec4(pickId/255.0, encode_float_1_0(pixelArcLength).xyz);\n}",s=[{ -name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];r.createShader=function(t){return n(t,i,a,null,s)},r.createPickShader=function(t){return n(t,i,o,null,s)}},{"gl-shader":156}],86:[function(t,e,r){"use strict";function n(t,e){for(var r=0,n=0;3>n;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function i(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;3>r;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function a(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function o(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.dirty=!0,this.pixelRatio=1}function s(t){var e=t.gl||t.scene&&t.scene.gl,r=g(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var n=v(e);n.attributes.position.location=0,n.attributes.nextPosition.location=1,n.attributes.arcLength.location=2,n.attributes.lineWidth.location=3,n.attributes.color.location=4;for(var i=l(e),a=c(e,[{buffer:i,size:3,offset:0,stride:48},{buffer:i,size:3,offset:12,stride:48},{buffer:i,size:1,offset:24,stride:48},{buffer:i,size:1,offset:28,stride:48},{buffer:i,size:4,offset:32,stride:48}]),s=d(new Array(1024),[256,1,4]),f=0;1024>f;++f)s.data[f]=255;var h=u(e,s);h.wrap=e.REPEAT;var p=new o(e,r,n,i,a,h);return p.update(t),p}e.exports=s;var l=t("gl-buffer"),c=t("gl-vao"),u=t("gl-texture2d"),f=t("glsl-read-float"),h=t("binary-search-bounds"),d=t("ndarray"),p=t("./lib/shaders"),g=p.createShader,v=p.createPickShader,m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],y=o.prototype;y.isTransparent=function(){return this.opacity<1},y.isOpaque=function(){return this.opacity>=1},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||m,view:t.view||m,projection:t.projection||m,clipBounds:i(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.drawPick=function(t){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||m,view:t.view||m,projection:t.projection||m,pickId:this.pickId,clipBounds:i(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.update=function(t){var e,r;this.dirty=!0;var i=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),"opacity"in t&&(this.opacity=+t.opacity);var a=t.position||t.positions;if(a){var o=t.color||t.colors||[0,0,0,1],s=t.lineWidth||1,l=[],c=[],u=[],f=0,p=0,g=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],v=!1;t:for(e=1;er;++r){if(isNaN(m[r])||isNaN(y[r])||!isFinite(m[r])||!isFinite(y[r])){if(!i&&l.length>0){for(var b=0;24>b;++b)l.push(l[l.length-12]);p+=2,v=!0}continue t}g[0][r]=Math.min(g[0][r],m[r],y[r]),g[1][r]=Math.max(g[1][r],m[r],y[r])}var x,_;Array.isArray(o[0])?(x=o[e-1],_=o[e]):x=_=o,3===x.length&&(x=[x[0],x[1],x[2],1]),3===_.length&&(_=[_[0],_[1],_[2],1]);var w;w=Array.isArray(s)?s[e-1]:s;var k=f;if(f+=n(m,y),v){for(r=0;2>r;++r)l.push(m[0],m[1],m[2],y[0],y[1],y[2],k,w,x[0],x[1],x[2],x[3]);p+=2,v=!1}l.push(m[0],m[1],m[2],y[0],y[1],y[2],k,w,x[0],x[1],x[2],x[3],m[0],m[1],m[2],y[0],y[1],y[2],k,-w,x[0],x[1],x[2],x[3],y[0],y[1],y[2],m[0],m[1],m[2],f,-w,_[0],_[1],_[2],_[3],y[0],y[1],y[2],m[0],m[1],m[2],f,w,_[0],_[1],_[2],_[3]),p+=4}if(this.buffer.update(l),c.push(f),u.push(a[a.length-1].slice()),this.bounds=g,this.vertexCount=p,this.points=u,this.arcLength=c,"dashes"in t){var A=t.dashes,M=A.slice();for(M.unshift(0),e=1;ee;++e){for(r=0;4>r;++r)T.set(e,0,r,0);1&h.le(M,M[M.length-1]*e/255)?T.set(e,0,0,0):T.set(e,0,0,255)}this.texture.setPixels(T)}}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=f(t.value[0],t.value[1],t.value[2],0),r=h.le(this.arcLength,e);if(0>r)return null;if(r===this.arcLength.length-1)return new a(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],o=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),s=1-o,l=[0,0,0],c=0;3>c;++c)l[c]=s*n[c]+o*i[c];var u=Math.min(.5>o?r:r+1,this.points.length-1);return new a(e,l,u,this.points[u])}},{"./lib/shaders":85,"binary-search-bounds":87,"gl-buffer":77,"gl-texture2d":181,"gl-vao":185,"glsl-read-float":88,ndarray:212}],87:[function(t,e,r){arguments[4][21][0].apply(r,arguments)},{dup:21}],88:[function(t,e,r){function n(t,e,r,n){return i[0]=n,i[1]=r,i[2]=e,i[3]=t,a[0]}e.exports=n;var i=new Uint8Array(4),a=new Float32Array(i.buffer)},{}],89:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=u*o-s*c,h=-u*a+s*l,d=c*a-o*l,p=r*f+n*h+i*d;return p?(p=1/p,t[0]=f*p,t[1]=(-u*n+i*c)*p,t[2]=(s*n-i*o)*p,t[3]=h*p,t[4]=(u*r-i*l)*p,t[5]=(-s*r+i*a)*p,t[6]=d*p,t[7]=(-c*r+n*l)*p,t[8]=(o*r-n*a)*p,t):null}e.exports=n},{}],90:[function(t,e,r){function n(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}e.exports=n},{}],91:[function(t,e,r){function n(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],92:[function(t,e,r){function n(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],f=t[10],h=t[11],d=t[12],p=t[13],g=t[14],v=t[15],m=e*o-r*a,y=e*s-n*a,b=e*l-i*a,x=r*s-n*o,_=r*l-i*o,w=n*l-i*s,k=c*p-u*d,A=c*g-f*d,M=c*v-h*d,T=u*g-f*p,E=u*v-h*p,L=f*v-h*g;return m*L-y*E+b*T+x*M-_*A+w*k}e.exports=n},{}],93:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,f=n*s,h=i*o,d=i*s,p=i*l,g=a*o,v=a*s,m=a*l;return t[0]=1-f-p,t[1]=u+m,t[2]=h-v,t[3]=0,t[4]=u-m,t[5]=1-c-p,t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-c-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],94:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,f=n*l,h=n*c,d=i*l,p=i*c,g=a*c,v=o*s,m=o*l,y=o*c;return t[0]=1-(d+g),t[1]=f+y,t[2]=h-m,t[3]=0,t[4]=f-y,t[5]=1-(u+g),t[6]=p+v,t[7]=0,t[8]=h+m,t[9]=p-v,t[10]=1-(u+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}e.exports=n},{}],95:[function(t,e,r){function n(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],96:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],d=e[11],p=e[12],g=e[13],v=e[14],m=e[15],y=r*s-n*o,b=r*l-i*o,x=r*c-a*o,_=n*l-i*s,w=n*c-a*s,k=i*c-a*l,A=u*g-f*p,M=u*v-h*p,T=u*m-d*p,E=f*v-h*g,L=f*m-d*g,S=h*m-d*v,C=y*S-b*L+x*E+_*T-w*M+k*A;return C?(C=1/C,t[0]=(s*S-l*L+c*E)*C,t[1]=(i*L-n*S-a*E)*C,t[2]=(g*k-v*w+m*_)*C,t[3]=(h*w-f*k-d*_)*C,t[4]=(l*T-o*S-c*M)*C,t[5]=(r*S-i*T+a*M)*C,t[6]=(v*x-p*k-m*b)*C,t[7]=(u*k-h*x+d*b)*C,t[8]=(o*L-s*T+c*A)*C,t[9]=(n*T-r*L-a*A)*C,t[10]=(p*w-g*x+m*y)*C,t[11]=(f*x-u*w-d*y)*C,t[12]=(s*M-o*E-l*A)*C,t[13]=(r*E-n*M+i*A)*C,t[14]=(g*b-p*_-v*y)*C,t[15]=(u*_-f*b+h*y)*C,t):null}e.exports=n},{}],97:[function(t,e,r){function n(t,e,r,n){var a,o,s,l,c,u,f,h,d,p,g=e[0],v=e[1],m=e[2],y=n[0],b=n[1],x=n[2],_=r[0],w=r[1],k=r[2];return Math.abs(g-_)<1e-6&&Math.abs(v-w)<1e-6&&Math.abs(m-k)<1e-6?i(t):(f=g-_,h=v-w,d=m-k,p=1/Math.sqrt(f*f+h*h+d*d),f*=p,h*=p,d*=p,a=b*d-x*h,o=x*f-y*d,s=y*h-b*f,p=Math.sqrt(a*a+o*o+s*s),p?(p=1/p,a*=p,o*=p,s*=p):(a=0,o=0,s=0),l=h*s-d*o,c=d*a-f*s,u=f*o-h*a,p=Math.sqrt(l*l+c*c+u*u),p?(p=1/p,l*=p,c*=p,u*=p):(l=0,c=0,u=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=d,t[11]=0,t[12]=-(a*g+o*v+s*m),t[13]=-(l*g+c*v+u*m),t[14]=-(f*g+h*v+d*m),t[15]=1,t)}var i=t("./identity");e.exports=n},{"./identity":95}],98:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],d=e[10],p=e[11],g=e[12],v=e[13],m=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*f+w*g,t[1]=b*i+x*l+_*h+w*v,t[2]=b*a+x*c+_*d+w*m,t[3]=b*o+x*u+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*f+w*g,t[5]=b*i+x*l+_*h+w*v,t[6]=b*a+x*c+_*d+w*m,t[7]=b*o+x*u+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*f+w*g,t[9]=b*i+x*l+_*h+w*v,t[10]=b*a+x*c+_*d+w*m,t[11]=b*o+x*u+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*f+w*g,t[13]=b*i+x*l+_*h+w*v,t[14]=b*a+x*c+_*d+w*m,t[15]=b*o+x*u+_*p+w*y,t}e.exports=n},{}],99:[function(t,e,r){function n(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}e.exports=n},{}],100:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,c,u,f,h,d,p,g,v,m,y,b,x,_,w,k,A,M,T,E,L=n[0],S=n[1],C=n[2],z=Math.sqrt(L*L+S*S+C*C);return Math.abs(z)<1e-6?null:(z=1/z,L*=z,S*=z,C*=z,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],d=e[6],p=e[7],g=e[8],v=e[9],m=e[10],y=e[11],b=L*L*o+a,x=S*L*o+C*i,_=C*L*o-S*i,w=L*S*o-C*i,k=S*S*o+a,A=C*S*o+L*i,M=L*C*o+S*i,T=S*C*o-L*i,E=C*C*o+a,t[0]=s*b+f*x+g*_,t[1]=l*b+h*x+v*_,t[2]=c*b+d*x+m*_,t[3]=u*b+p*x+y*_,t[4]=s*w+f*k+g*A,t[5]=l*w+h*k+v*A,t[6]=c*w+d*k+m*A,t[7]=u*w+p*k+y*A,t[8]=s*M+f*T+g*E,t[9]=l*M+h*T+v*E,t[10]=c*M+d*T+m*E,t[11]=u*M+p*T+y*E,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}e.exports=n},{}],101:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}e.exports=n},{}],102:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}e.exports=n},{}],103:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}e.exports=n},{}],104:[function(t,e,r){function n(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}e.exports=n},{}],105:[function(t,e,r){function n(t,e,r){var n,i,a,o,s,l,c,u,f,h,d,p,g=r[0],v=r[1],m=r[2];return e===t?(t[12]=e[0]*g+e[4]*v+e[8]*m+e[12],t[13]=e[1]*g+e[5]*v+e[9]*m+e[13],t[14]=e[2]*g+e[6]*v+e[10]*m+e[14],t[15]=e[3]*g+e[7]*v+e[11]*m+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=d,t[11]=p,t[12]=n*g+s*v+f*m+e[12],t[13]=i*g+l*v+h*m+e[13],t[14]=a*g+c*v+d*m+e[14],t[15]=o*g+u*v+p*m+e[15]),t}e.exports=n},{}],106:[function(t,e,r){function n(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}e.exports=n},{}],107:[function(t,e,r){"use strict";function n(t,e){for(var r=[0,0,0,0],n=0;4>n;++n)for(var i=0;4>i;++i)r[i]+=t[4*n+i]*e[n];return r}function i(t,e,r,i,a){for(var o=n(i,n(r,n(e,[t[0],t[1],t[2],1]))),s=0;3>s;++s)o[s]/=o[3];return[.5*a[0]*(1+o[0]),.5*a[1]*(1-o[1])]}function a(t,e){if(2===t.length){for(var r=0,n=0,i=0;2>i;++i)r+=Math.pow(e[i]-t[0][i],2),n+=Math.pow(e[i]-t[1][i],2);return r=Math.sqrt(r),n=Math.sqrt(n),1e-6>r+n?[1,0]:[n/(r+n),r/(n+r)]}if(3===t.length){var a=[0,0];return c(t[0],t[1],t[2],e,a),l(t,a)}return[]}function o(t,e){for(var r=[0,0,0],n=0;no;++o)r[o]+=a*i[o];return r}function s(t,e,r,n,s,l){if(1===t.length)return[0,t[0].slice()];for(var c=new Array(t.length),u=0;up;++p)d+=Math.pow(c[u][p]-e[p],2);h>d&&(h=d,f=u)}for(var g=a(c,e),v=0,u=0;3>u;++u){if(g[u]<-.001||g[u]>1.0001)return null;v+=g[u]}return Math.abs(v-1)>.001?null:[f,o(t,g),g]}var l=t("barycentric"),c=t("polytope-closest-point/lib/closest_point_2d.js");e.exports=s},{barycentric:110,"polytope-closest-point/lib/closest_point_2d.js":112}],108:[function(t,e,r){var n="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n , view\n , projection;\nuniform vec3 eyePosition\n , lightPosition;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n vec4 m_position = model * vec4(position, 1.0);\n vec4 t_position = view * m_position;\n gl_Position = projection * t_position;\n f_color = color;\n f_normal = normal;\n f_data = position;\n f_eyeDirection = eyePosition - position;\n f_lightDirection = lightPosition - position;\n f_uv = uv;\n}",i="precision mediump float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution_2_0(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\n\n\nfloat cookTorranceSpecular_1_1(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution_2_0(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n , fresnel\n , kambient\n , kdiffuse\n , kspecular\n , opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if(any(lessThan(f_data, clipBounds[0])) || \n any(greaterThan(f_data, clipBounds[1]))) {\n discard;\n }\n\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n \n if(!gl_FrontFacing) {\n N = -N;\n }\n\n float specular = cookTorranceSpecular_1_1(L, V, N, roughness, fresnel);\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}",a="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_color = color;\n f_data = position;\n f_uv = uv;\n}",o="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n if(any(lessThan(f_data, clipBounds[0])) || \n any(greaterThan(f_data, clipBounds[1]))) {\n discard;\n }\n\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}",s="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || \n any(greaterThan(position, clipBounds[1]))) {\n gl_Position = vec4(0,0,0,0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n }\n gl_PointSize = pointSize;\n f_color = color;\n f_uv = uv;\n}",l="precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n vec2 pointR = gl_PointCoord.xy - vec2(0.5,0.5);\n if(dot(pointR, pointR) > 0.25) {\n discard;\n }\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}",c="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_id = id;\n f_position = position;\n}",u="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if(any(lessThan(f_position, clipBounds[0])) || \n any(greaterThan(f_position, clipBounds[1]))) {\n discard;\n }\n gl_FragColor = vec4(pickId, f_id.xyz);\n}",f="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute float pointSize;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || \n any(greaterThan(position, clipBounds[1]))) {\n gl_Position = vec4(0,0,0,0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n gl_PointSize = pointSize;\n }\n f_id = id;\n f_position = position;\n}",h="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n}",d="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n gl_FragColor = vec4(contourColor,1);\n}\n";r.meshShader={vertex:n,fragment:i,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.wireShader={vertex:a,fragment:o,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.pointShader={vertex:s,fragment:l,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},r.pickShader={vertex:c,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},r.pointPickShader={vertex:f,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},r.contourShader={vertex:h,fragment:d,attributes:[{name:"position",type:"vec3"}]}},{}],109:[function(t,e,r){"use strict";function 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i(t){for(var e=w({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;256>n;++n){for(var i=e[n],a=0;3>a;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return _(r,[256,256,4],[4,0,1])}function a(t,e,r){for(var n=new Array(e),i=0;e>i;++i)n[i]=0;for(var a=t.length,i=0;a>i;++i)for(var o=t[i],s=0;sn;++n)r[n]=t[n][2];return r}function s(t){var e=p(t,E);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function l(t){var e=p(t,L);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function c(t){var e=p(t,S);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function u(t){var e=p(t,C);return e.attributes.position.location=0,e.attributes.id.location=1,e}function f(t){var e=p(t,z);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function h(t){var e=p(t,P);return e.attributes.position.location=0,e}function d(t){var e=t.gl,r=s(e),i=l(e),a=c(e),o=u(e),d=f(e),p=h(e),y=m(e,_(new Uint8Array([255,255,255,255]),[1,1,4]));y.generateMipmap(),y.minFilter=e.LINEAR_MIPMAP_LINEAR,y.magFilter=e.LINEAR;var b=g(e),x=g(e),w=g(e),k=g(e),A=g(e),M=v(e,[{buffer:b,type:e.FLOAT,size:3},{buffer:A,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:x,type:e.FLOAT,size:4},{buffer:w,type:e.FLOAT,size:2},{buffer:k,type:e.FLOAT,size:3}]),T=g(e),E=g(e),L=g(e),S=g(e),C=v(e,[{buffer:T,type:e.FLOAT,size:3},{buffer:S,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:E,type:e.FLOAT,size:4},{buffer:L,type:e.FLOAT,size:2}]),z=g(e),P=g(e),R=g(e),O=g(e),I=g(e),N=v(e,[{buffer:z,type:e.FLOAT,size:3},{buffer:I,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:P,type:e.FLOAT,size:4},{buffer:R,type:e.FLOAT,size:2},{buffer:O,type:e.FLOAT,size:1}]),j=g(e),F=v(e,[{buffer:j,type:e.FLOAT,size:3}]),D=new n(e,y,r,i,a,o,d,p,b,A,x,w,k,M,T,S,E,L,C,z,I,P,R,O,N,j,F);return D.update(t),D}var p=t("gl-shader"),g=t("gl-buffer"),v=t("gl-vao"),m=t("gl-texture2d"),y=t("normals"),b=t("gl-mat4/multiply"),x=t("gl-mat4/invert"),_=t("ndarray"),w=t("colormap"),k=t("simplicial-complex-contour"),A=t("typedarray-pool"),M=t("./lib/shaders"),T=t("./lib/closest-point"),E=M.meshShader,L=M.wireShader,S=M.pointShader,C=M.pickShader,z=M.pointPickShader,P=M.contourShader,R=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],O=n.prototype;O.isOpaque=function(){return this.opacity>=1},O.isTransparent=function(){return this.opacity<1},O.pickSlots=1,O.setPickBase=function(t){this.pickId=t},O.highlight=function(t){if(!t||!this.contourEnable)return void(this.contourCount=0);for(var e=k(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=A.mallocFloat32(6*a),s=0,l=0;a>l;++l)for(var c=r[l],u=0;2>u;++u){var f=c[0];2===c.length&&(f=c[u]);for(var h=n[f][0],d=n[f][1],p=i[f],g=1-p,v=this.positions[h],m=this.positions[d],y=0;3>y;++y)o[s++]=p*v[y]+g*m[y]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),A.free(o)},O.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"opacity"in t&&(this.opacity=t.opacity),t.texture?(this.texture.dispose(),this.texture=m(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(i(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var s=[],l=[],c=[],u=[],f=[],h=[],d=[],p=[],g=[],v=[],b=[],x=[],_=[],w=[];this.cells=r,this.positions=n;var k=t.vertexNormals,A=t.cellNormals;t.useFacetNormals&&!A&&(A=y.faceNormals(r,n)),A||k||(k=y.vertexNormals(r,n));var M=t.vertexColors,T=t.cellColors,E=t.meshColor||[1,1,1,1],L=t.vertexUVs,S=t.vertexIntensity,C=t.cellUVs,z=t.cellIntensity,P=1/0,R=-(1/0);if(!L&&!C)if(S)for(var O=0;OD;++D)!isNaN(F[D])&&isFinite(F[D])&&(this.bounds[0][D]=Math.min(this.bounds[0][D],F[D]),this.bounds[1][D]=Math.max(this.bounds[1][D],F[D]));var B=0,U=0,V=0;t:for(var O=0;OD;++D)if(isNaN(F[D])||!isFinite(F[D]))continue t;v.push(F[0],F[1],F[2]);var G;G=M?M[H]:T?T[O]:E,3===G.length?b.push(G[0],G[1],G[2],1):b.push(G[0],G[1],G[2],G[3]);var Y;Y=L?L[H]:S?[(S[H]-P)/(R-P),0]:C?C[O]:z?[(z[O]-P)/(R-P),0]:[(F[2]-P)/(R-P),0],x.push(Y[0],Y[1]),N?_.push(N[H]):_.push(j),w.push(O),V+=1;break;case 2:for(var D=0;2>D;++D)for(var H=q[D],F=n[H],X=0;3>X;++X)if(isNaN(F[X])||!isFinite(F[X]))continue t;for(var D=0;2>D;++D){var H=q[D],F=n[H];h.push(F[0],F[1],F[2]);var G;G=M?M[H]:T?T[O]:E,3===G.length?d.push(G[0],G[1],G[2],1):d.push(G[0],G[1],G[2],G[3]);var Y;Y=L?L[H]:S?[(S[H]-P)/(R-P),0]:C?C[O]:z?[(z[O]-P)/(R-P),0]:[(F[2]-P)/(R-P),0],p.push(Y[0],Y[1]),g.push(O)}U+=1;break;case 3:for(var D=0;3>D;++D)for(var H=q[D],F=n[H],X=0;3>X;++X)if(isNaN(F[X])||!isFinite(F[X]))continue t;for(var D=0;3>D;++D){var H=q[D],F=n[H];s.push(F[0],F[1],F[2]);var G;G=M?M[H]:T?T[O]:E,3===G.length?l.push(G[0],G[1],G[2],1):l.push(G[0],G[1],G[2],G[3]);var Y;Y=L?L[H]:S?[(S[H]-P)/(R-P),0]:C?C[O]:z?[(z[O]-P)/(R-P),0]:[(F[2]-P)/(R-P),0],u.push(Y[0],Y[1]);var W;W=k?k[H]:A[O],c.push(W[0],W[1],W[2]),f.push(O)}B+=1}}this.pointCount=V,this.edgeCount=U,this.triangleCount=B,this.pointPositions.update(v),this.pointColors.update(b),this.pointUVs.update(x),this.pointSizes.update(_),this.pointIds.update(new Uint32Array(w)),this.edgePositions.update(h),this.edgeColors.update(d),this.edgeUVs.update(p),this.edgeIds.update(new 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u=l[12+o],f=0;3>f;++f)u+=l[4*f+o]*this.lightPosition[f];s.lightPosition[o]=u/c}if(this.triangleCount>0){var h=this.triShader;h.bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var h=this.lineShader;h.bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()}if(this.pointCount>0){var h=this.pointShader;h.bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var h=this.contourShader;h.bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind()}},O.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||R,n=t.view||R,i=t.projection||R,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;3>o;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255},l=this.pickShader;if(l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0){var l=this.pointPickShader;l.bind(),l.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}},O.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;ao;++o){for(var s=new Array(r+1),l=0;r>=l;++l)s[l]=t[l][o];i[o]=s}i[r]=new Array(r+1);for(var o=0;r>=o;++o)i[r][o]=1;for(var c=new Array(r+1),o=0;r>o;++o)c[o]=e[o];c[r]=1;var u=a(i,c),f=n(u[r+1]);0===f&&(f=1);for(var h=new Array(r+1),o=0;r>=o;++o)h[o]=n(u[o])/f;return h}e.exports=i;var a=t("robust-linear-solve")},{"robust-linear-solve":215}],111:[function(t,e,r){var n=1e-6;r.vertexNormals=function(t,e){for(var r=e.length,i=new Array(r),a=0;r>a;++a)i[a]=[0,0,0];for(var a=0;ay;++y)p[y]=f[y]-h[y],g+=p[y]*p[y],v[y]=d[y]-h[y],m+=v[y]*v[y];if(g*m>n)for(var b=i[l],x=1/Math.sqrt(g*m),y=0;3>y;++y){var _=(y+1)%3,w=(y+2)%3;b[y]+=x*(v[_]*p[w]-v[w]*p[_])}}for(var a=0;r>a;++a){for(var b=i[a],k=0,y=0;3>y;++y)k+=b[y]*b[y];if(k>n)for(var x=1/Math.sqrt(k),y=0;3>y;++y)b[y]*=x;else for(var y=0;3>y;++y)b[y]=0}return i},r.faceNormals=function(t,e){for(var r=t.length,i=new Array(r),a=0;r>a;++a){for(var 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Array(16),V={view:null,projection:B,model:U},D=!0,q=[A.drawingBufferWidth,A.drawingBufferHeight],H={gl:A,contextLost:!1,pixelRatio:t.pixelRatio||parseFloat(window.devicePixelRatio),canvas:w,selection:T,camera:l(w,S),axes:z,axesPixels:null,spikes:R,bounds:M,objects:O,shape:q,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:o(t.autoResize),autoBounds:o(t.autoBounds),autoScale:!!t.autoScale,autoCenter:o(t.autoCenter),clipToBounds:o(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:V,oncontextloss:null,mouseListener:null},G=[A.drawingBufferWidth/H.pixelRatio|0,A.drawingBufferHeight/H.pixelRatio|0];H.autoResize&&e(),window.addEventListener("resize",e),H.update=function(t){_||(t=t||{},F=!0,D=!0)},H.add=function(t){_||(t.axes=z,O.push(t),I.push(-1),F=!0,D=!0,r())},H.remove=function(t){if(!_){var e=O.indexOf(t);0>e||(O.splice(e,1),I.pop(),F=!0,D=!0,r())}},H.dispose=function(){if(!_&&(_=!0,window.removeEventListener("resize",e),w.removeEventListener("webglcontextlost",s),H.mouseListener.enabled=!1,!H.contextLost)){z.dispose(),R.dispose();for(var t=0;ts;++s){var l=j[s].query(e,G[1]-r-1,H.pickRadius);if(l){if(l.distance>T.distance)continue;for(var c=0;i>c;++c){var u=O[c];if(I[c]===s){var f=u.pick(l);f&&(T.buttons=t,T.screen=l.coord,T.distance=l.distance,T.object=u,T.index=f.distance,T.dataPosition=f.position,T.dataCoordinate=f.dataCoordinate,T.data=f,o=!0)}}}}}a&&a!==T.object&&(a.highlight&&a.highlight(null),F=!0),T.object&&(T.object.highlight&&T.object.highlight(T.data),F=!0),o=o||T.object!==a,o&&H.onselect&&H.onselect(T),1&t&&!(1&X)&&H.onclick&&H.onclick(T),X=t}}),w.addEventListener("webglcontextlost",s);var W=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],Z=[W[0].slice(),W[1].slice()];return x(),H.redraw=function(){_||(F=!0,b())},H}e.exports=s;var l=t("3d-view-controls"),c=t("gl-axes3d"),u=t("gl-axes3d/properties"),f=t("gl-spikes3d"),h=t("gl-select-static"),d=t("gl-fbo"),p=t("a-big-triangle"),g=t("mouse-change"),v=t("gl-mat4/perspective"),m=t("./lib/shader")},{"./lib/shader":125,"3d-view-controls":126,"a-big-triangle":128,"gl-axes3d":129,"gl-axes3d/properties":139,"gl-fbo":82,"gl-mat4/perspective":99,"gl-select-static":155,"gl-spikes3d":141,"mouse-change":200}],143:[function(t,e,r){"use strict";e.exports={vertex:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec2 offset;\nattribute vec4 color;\n\nuniform mat3 viewTransform;\nuniform vec2 pixelScale;\n\nvarying vec4 fragColor;\n\nvec4 computePosition_1_0(vec2 position, vec2 offset, mat3 view, vec2 scale) {\n vec3 xposition = view * vec3(position, 1.0);\n return vec4(\n xposition.xy + scale * offset * xposition.z,\n 0,\n xposition.z);\n}\n\n\n\n\nvoid main() {\n fragColor = color;\n\n gl_Position = computePosition_1_0(\n position,\n offset,\n viewTransform,\n pixelScale);\n}\n",fragment:"precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n",pickVertex:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec2 offset;\nattribute vec4 id;\n\nuniform mat3 viewTransform;\nuniform vec2 pixelScale;\nuniform vec4 pickOffset;\n\nvarying vec4 fragColor;\n\nvec4 computePosition_1_0(vec2 position, vec2 offset, mat3 view, vec2 scale) {\n vec3 xposition = view * vec3(position, 1.0);\n return vec4(\n xposition.xy + scale * offset * xposition.z,\n 0,\n xposition.z);\n}\n\n\n\n\nvoid main() {\n vec4 fragId = id + pickOffset;\n\n fragId.y += floor(fragId.x / 256.0);\n fragId.x -= floor(fragId.x / 256.0) * 256.0;\n\n fragId.z += floor(fragId.y / 256.0);\n fragId.y -= floor(fragId.y / 256.0) * 256.0;\n\n fragId.w += floor(fragId.z / 256.0);\n fragId.z -= floor(fragId.z / 256.0) * 256.0;\n\n fragColor = fragId / 255.0;\n\n gl_Position = computePosition_1_0(\n position,\n offset,\n viewTransform,\n pixelScale);\n}\n",pickFragment:"precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n gl_FragColor = fragColor;\n}\n"}},{}],144:[function(t,e,r){"use strict";function n(t){if(t in h)return h[t];var e=u(t,{polygons:!0,font:"sans-serif",textAlign:"left",textBaseline:"alphabetic"}),r=[],n=[];e.forEach(function(t){t.forEach(function(t){for(var e=0;eo;++o)i[o]=Math.min(i[o],r[a+o]),i[2+o]=Math.max(i[2+o],r[a+o]);return h[t]={coords:r,normals:n,bounds:i}}function i(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.offsetBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.bounds=[1/0,1/0,-(1/0),-(1/0)],this.numPoints=0,this.numVertices=0,this.pickOffset=0,this.points=null}function a(t,e){var r=t.gl,n=o(r,f.vertex,f.fragment),a=o(r,f.pickVertex,f.pickFragment),l=s(r),c=s(r),u=s(r),h=s(r),d=new i(t,n,a,l,c,u,h);return d.update(e),t.addObject(d),d}e.exports=a;var o=t("gl-shader"),s=t("gl-buffer"),l=t("text-cache"),c=t("typedarray-pool"),u=t("vectorize-text"),f=t("./lib/shaders"),h={},d=i.prototype;!function(){function t(){var t=this.plot,n=this.bounds,i=t.viewBox,a=t.dataBox,o=t.pixelRatio,s=n[2]-n[0],l=n[3]-n[1],c=a[2]-a[0],u=a[3]-a[1];e[0]=2*s/c,e[4]=2*l/u,e[6]=2*(n[0]-a[0])/c-1,e[7]=2*(n[1]-a[1])/u-1;var f=i[2]-i[0],h=i[3]-i[1];r[0]=2*o/f,r[1]=2*o/h}var e=[1,0,0,0,1,0,0,0,1],r=[1,1];d.draw=function(){var n=this.plot,i=this.shader,a=this.numVertices;if(a){var o=n.gl;t.call(this),i.bind(),i.uniforms.pixelScale=r,i.uniforms.viewTransform=e,this.positionBuffer.bind(),i.attributes.position.pointer(),this.offsetBuffer.bind(),i.attributes.offset.pointer(),this.colorBuffer.bind(),i.attributes.color.pointer(o.UNSIGNED_BYTE,!0),o.drawArrays(o.TRIANGLES,0,a)}};var n=[0,0,0,0];d.drawPick=function(i){var a=this.plot,o=this.pickShader,s=this.numVertices,l=a.gl;if(this.pickOffset=i,!s)return i;for(var c=0;4>c;++c)n[c]=i>>8*c&255;return t.call(this),o.bind(),o.uniforms.pixelScale=r,o.uniforms.viewTransform=e,o.uniforms.pickOffset=n,this.positionBuffer.bind(),o.attributes.position.pointer(),this.offsetBuffer.bind(),o.attributes.offset.pointer(),this.idBuffer.bind(),o.attributes.id.pointer(l.UNSIGNED_BYTE,!1),l.drawArrays(l.TRIANGLES,0,s),i+this.numPoints}}(),d.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(n>r||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},d.update=function(t){t=t||{};var e=t.positions||[],r=t.colors||[],i=t.glyphs||[],a=t.sizes||[],o=t.borderWidths||[],s=t.borderColors||[];this.points=e;for(var u=this.bounds=[1/0,1/0,-(1/0),-(1/0)],f=0,h=0;h>1;for(var d=0;2>d;++d)u[d]=Math.min(u[d],e[2*h+d]),u[2+d]=Math.max(u[2+d],e[2*h+d])}u[0]===u[2]&&(u[2]+=1),u[3]===u[1]&&(u[3]+=1);for(var p=1/(u[2]-u[0]),g=1/(u[3]-u[1]),v=u[0],m=u[1],y=c.mallocFloat32(2*f),b=c.mallocFloat32(2*f),x=c.mallocUint8(4*f),_=c.mallocUint32(f),w=0,h=0;h=a?i(0,a-1,t,e,r,n):f(0,a-1,t,e,r,n)}function i(t,e,r,n,i,a){for(var o=t+1;e>=o;++o){for(var s=r[o],l=n[2*o],c=n[2*o+1],u=i[o],f=a[o],h=o;h>t;){var d=r[h-1],p=n[2*(h-1)];if((d-s||l-p)>=0)break;r[h]=d,n[2*h]=p,n[2*h+1]=n[2*h-1],i[h]=i[h-1],a[h]=a[h-1],h-=1}r[h]=s,n[2*h]=l,n[2*h+1]=c,i[h]=u,a[h]=f}}function a(t,e,r,n,i,a){var o=r[t],s=n[2*t],l=n[2*t+1],c=i[t],u=a[t];r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e],r[e]=o,n[2*e]=s,n[2*e+1]=l,i[e]=c,a[e]=u}function o(t,e,r,n,i,a){r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e]}function s(t,e,r,n,i,a,o){var s=n[t],l=i[2*t],c=i[2*t+1],u=a[t],f=o[t];n[t]=n[e],i[2*t]=i[2*e],i[2*t+1]=i[2*e+1],a[t]=a[e],o[t]=o[e],n[e]=n[r],i[2*e]=i[2*r],i[2*e+1]=i[2*r+1],a[e]=a[r],o[e]=o[r],n[r]=s,i[2*r]=l,i[2*r+1]=c,a[r]=u,o[r]=f}function l(t,e,r,n,i,a,o,s,l,c,u){s[t]=s[e],l[2*t]=l[2*e],l[2*t+1]=l[2*e+1],c[t]=c[e],u[t]=u[e],s[e]=r,l[2*e]=n,l[2*e+1]=i,c[e]=a,u[e]=o}function c(t,e,r,n,i){return(r[t]-r[e]||n[2*e]-n[2*t]||i[t]-i[e])<0}function u(t,e,r,n,i,a,o,s){return(e-a[t]||o[2*t]-r||i-s[t])<0}function f(t,e,r,n,d,p){var g=(e-t+1)/6|0,v=t+g,m=e-g,y=t+e>>1,b=y-g,x=y+g,_=v,w=b,k=y,A=x,M=m,T=t+1,E=e-1,L=0;c(_,w,r,n,d,p)&&(L=_,_=w,w=L),c(A,M,r,n,d,p)&&(L=A,A=M,M=L),c(_,k,r,n,d,p)&&(L=_,_=k,k=L),c(w,k,r,n,d,p)&&(L=w,w=k,k=L),c(_,A,r,n,d,p)&&(L=_,_=A,A=L),c(k,A,r,n,d,p)&&(L=k,k=A,A=L),c(w,M,r,n,d,p)&&(L=w,w=M,M=L),c(w,k,r,n,d,p)&&(L=w,w=k,k=L),c(A,M,r,n,d,p)&&(L=A,A=M,M=L);var S=r[w],C=n[2*w],z=n[2*w+1],P=d[w],R=p[w],O=r[A],I=n[2*A],N=n[2*A+1],j=d[A],F=p[A],D=_,B=k,U=M,V=v,q=y,H=m,G=r[D],Y=r[B],X=r[U];r[V]=G,r[q]=Y,r[H]=X;for(var W=0;2>W;++W){var Z=n[2*D+W],K=n[2*B+W],$=n[2*U+W];n[2*V+W]=Z,n[2*q+W]=K,n[2*H+W]=$}var Q=d[D],J=d[B],tt=d[U];d[V]=Q,d[q]=J,d[H]=tt;var et=p[D],rt=p[B],nt=p[U];p[V]=et,p[q]=rt,p[H]=nt,o(b,t,r,n,d,p),o(x,e,r,n,d,p);for(var it=T;E>=it;++it)if(u(it,S,C,z,P,r,n,d))it!==T&&a(it,T,r,n,d,p),++T;else if(!u(it,O,I,N,j,r,n,d))for(;;){if(u(E,O,I,N,j,r,n,d)){u(E,S,C,z,P,r,n,d)?(s(it,T,E,r,n,d,p),++T,--E):(a(it,E,r,n,d,p),--E);break}if(--E=T-2-t?i(t,T-2,r,n,d,p):f(t,T-2,r,n,d,p),h>=e-(E+2)?i(E+2,e,r,n,d,p):f(E+2,e,r,n,d,p),h>=E-T?i(T,E,r,n,d,p):f(T,E,r,n,d,p)}e.exports=n;var h=32},{}],148:[function(t,e,r){"use strict";function n(t,e,r,n,i,a,o,s){for(var l=r,c=r;n>c;++c){var u=t[2*c],f=t[2*c+1],h=e[c];u>=i&&o>=u&&f>=a&&s>=f&&(c===l?l+=1:(t[2*c]=t[2*l],t[2*c+1]=t[2*l+1],e[c]=e[l],t[2*l]=u,t[2*l+1]=f,e[l]=h,l+=1))}return l}function i(t,e,r){this.pixelSize=t,this.offset=e,this.count=r}function a(t,e,r,a){function l(i,a,o,s,c,u){var f=.5*o,h=s+1,d=c-s;r[_]=d,x[_++]=u;for(var p=0;2>p;++p)for(var g=0;2>g;++g){var v=i+p*f,m=a+g*f,y=n(t,e,h,c,v,m,v+f,m+f);if(y!==h){if(y-h>=Math.max(.9*d,32)){var b=c+s>>>1;l(v,m,f,h,b,u+1),h=b}l(v,m,f,h,y,u+1),h=y}}}var c=t.length>>>1;if(1>c)return[];for(var u=1/0,f=1/0,h=-(1/0),d=-(1/0),p=0;c>p;++p){var g=t[2*p],v=t[2*p+1];u=Math.min(u,g),h=Math.max(h,g),f=Math.min(f,v),d=Math.max(d,v),e[p]=p}u===h&&(h+=1+Math.abs(h)),f===d&&(d+=1+Math.abs(h));var m=1/(h-u),y=1/(d-f),b=Math.max(h-u,d-f);a=a||[0,0,0,0],a[0]=u,a[1]=f,a[2]=h,a[3]=d;var x=o.mallocInt32(c),_=0;l(u,f,b,0,c,0),s(x,t,e,r,c);for(var w=[],k=0,A=c,_=c-1;_>=0;--_){t[2*_]=(t[2*_]-u)*m,t[2*_+1]=(t[2*_+1]-f)*y;var M=x[_];M!==k&&(w.push(new i(b*Math.pow(.5,M),_+1,A-(_+1))),A=_+1,k=M)}return w.push(new i(b*Math.pow(.5,M+1),0,A)),o.free(x),w}var o=t("typedarray-pool"),s=t("./lib/sort");e.exports=a},{"./lib/sort":147,"typedarray-pool":237}],149:[function(t,e,r){"use strict";function n(t,e,r,n,i,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.weightBuffer=n,this.shader=i,this.pickShader=a,this.scales=[],this.size=12,this.borderSize=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.bounds=[1/0,1/0,-(1/0),-(1/0)],this.pickOffset=0,this.points=null,this.xCoords=null}function i(t,e){var r=t.gl,i=o(r),s=o(r),l=o(r),c=a(r,u.pointVertex,u.pointFragment),f=a(r,u.pickVertex,u.pickFragment),h=new n(t,i,s,l,c,f);return h.update(e),t.addObject(h),h}var a=t("gl-shader"),o=t("gl-buffer"),s=t("binary-search-bounds"),l=t("snap-points-2d"),c=t("typedarray-pool"),u=t("./lib/shader");e.exports=i;var f=n.prototype;f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.xCoords&&c.free(this.xCoords),this.plot.removeObject(this)},f.update=function(t){function e(e,r){return e in t?t[e]:r}t=t||{},this.size=e("size",12),this.color=e("color",[1,0,0,1]).slice(),this.borderSize=e("borderSize",1),this.borderColor=e("borderColor",[0,0,0,1]).slice(),this.xCoords&&c.free(this.xCoords);var r=t.positions,n=c.mallocFloat32(r.length),i=c.mallocInt32(r.length>>>1);n.set(r);var a=c.mallocFloat32(r.length);this.points=r,this.scales=l(n,i,a,this.bounds),this.offsetBuffer.update(n),this.pickBuffer.update(i),this.weightBuffer.update(a);for(var o=c.mallocFloat32(r.length>>>1),s=0,u=0;s>>1,this.pickOffset=0},f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.scales,o=this.offsetBuffer,l=this.pickBuffer,c=this.bounds,u=this.size,f=this.borderSize,h=n.gl,d=n.pickPixelRatio,p=n.viewBox,g=n.dataBox;if(0===this.pointCount)return r;var v=c[2]-c[0],m=c[3]-c[1],y=g[2]-g[0],b=g[3]-g[1],x=(p[2]-p[0])*d/n.pixelRatio,_=(p[3]-p[1])*d/n.pixelRatio,w=Math.min(y/x,b/_);t[0]=2*v/y,t[4]=2*m/b,t[6]=2*(c[0]-g[0])/y-1,t[7]=2*(c[1]-g[1])/b-1,this.pickOffset=r,e[0]=255&r,e[1]=r>>8&255,e[2]=r>>16&255,e[3]=r>>24&255,i.bind(),i.uniforms.matrix=t,i.uniforms.color=this.color,i.uniforms.borderColor=this.borderColor,i.uniforms.pointSize=d*(u+f),i.uniforms.pickOffset=e,0===this.borderSize?i.uniforms.centerFraction=2:i.uniforms.centerFraction=u/(u+f+1.25),o.bind(),i.attributes.position.pointer(),l.bind(),i.attributes.pickId.pointer(h.UNSIGNED_BYTE);for(var k=this.xCoords,A=(g[0]-c[0]-w*u*d)/v,M=(g[2]-c[0]+w*u*d)/v,T=a.length-1;T>=0;--T){var E=a[T];if(!(E.pixelSize1)){var L=E.offset,S=E.count+L,C=s.ge(k,A,L,S-1),z=s.lt(k,M,C,S-1)+1;z>C&&h.drawArrays(h.POINTS,C,z-C)}}return r+this.pointCount}}(),f.draw=function(){var t=[1,0,0,0,1,0,0,0,1];return function(){var e=this.plot,r=this.shader,n=this.scales,i=this.offsetBuffer,a=this.bounds,o=this.size,l=this.borderSize,c=e.gl,u=e.pixelRatio,f=e.viewBox,h=e.dataBox;if(0!==this.pointCount){var d=a[2]-a[0],p=a[3]-a[1],g=h[2]-h[0],v=h[3]-h[1],m=f[2]-f[0],y=f[3]-f[1],b=Math.min(g/m,v/y);t[0]=2*d/g,t[4]=2*p/v,t[6]=2*(a[0]-h[0])/g-1,t[7]=2*(a[1]-h[1])/v-1,r.bind(),r.uniforms.matrix=t,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointSize=u*(o+l),r.uniforms.useWeight=1,0===this.borderSize?r.uniforms.centerFraction=2:r.uniforms.centerFraction=o/(o+l+1.25),i.bind(),r.attributes.position.pointer(),this.weightBuffer.bind(),r.attributes.weight.pointer();for(var x=this.xCoords,_=(h[0]-a[0]-b*o*u)/d,w=(h[2]-a[0]+b*o*u)/d,k=!0,A=n.length-1;A>=0;--A){var M=n[A];if(!(M.pixelSize1)){var T=M.offset,E=M.count+T,L=s.ge(x,_,T,E-1),S=s.lt(x,w,L,E-1)+1;S>L&&c.drawArrays(c.POINTS,L,S-L),k&&(k=!1,r.uniforms.useWeight=0)}}}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(n>r||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{"./lib/shader":145,"binary-search-bounds":146,"gl-buffer":77,"gl-shader":156,"snap-points-2d":148,"typedarray-pool":237}],150:[function(t,e,r){"use strict";function n(t,e){var r=a[e];if(r||(r=a[e]={}),t in r)return r[t];for(var n=i(t,{textAlign:"center",textBaseline:"middle",lineHeight:1,font:e}),o=i(t,{triangles:!0,textAlign:"center",textBaseline:"middle",lineHeight:1,font:e}),s=[[1/0,1/0],[-(1/0),-(1/0)]],l=0;lu;++u)s[0][u]=Math.min(s[0][u],c[u]),s[1][u]=Math.max(s[1][u],c[u]);return r[t]=[o,n,s]}var i=t("vectorize-text");e.exports=n;var a={}},{"vectorize-text":239}],151:[function(t,e,r){function n(t,e){var r=i(t,e),n=r.attributes;return n.position.location=0,n.color.location=1,n.glyph.location=2,n.id.location=3,r}var i=t("gl-shader"),a="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || \n any(greaterThan(position, clipBounds[1])) ) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = 1.0;\n if(distance(highlightId, id) < 0.0001) {\n scale = highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1);\n vec4 viewPosition = view * worldPosition;\n viewPosition = viewPosition / viewPosition.w;\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n \n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}",o="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || any(greaterThan(position, clipBounds[1]))) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = pixelRatio;\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\n scale *= highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1.0);\n vec4 viewPosition = view * worldPosition;\n vec4 clipPosition = projection * viewPosition;\n clipPosition /= clipPosition.w;\n \n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}",s="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) ||\n any(greaterThan(position, clipBounds[1])) ) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float lscale = pixelRatio * scale;\n if(distance(highlightId, id) < 0.0001) {\n lscale *= highlightScale;\n }\n\n vec4 clipCenter = projection * view * model * vec4(position, 1);\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = dataPosition;\n }\n}\n",l="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(dataCoordinate, fragClipBounds[0])) ||\n any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\n discard;\n } else {\n gl_FragColor = interpColor * opacity;\n }\n}\n",c="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(dataCoordinate, fragClipBounds[0])) || \n any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\n discard;\n } else {\n gl_FragColor = vec4(pickGroup, pickId.bgr);\n }\n}",u=[{ -name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},d={vertex:s,fragment:l,attributes:u},p={vertex:a,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},v={vertex:s,fragment:c,attributes:u};r.createPerspective=function(t){return n(t,f)},r.createOrtho=function(t){return n(t,h)},r.createProject=function(t){return n(t,d)},r.createPickPerspective=function(t){return n(t,p)},r.createPickOrtho=function(t){return n(t,g)},r.createPickProject=function(t){return n(t,v)}},{"gl-shader":156}],152:[function(t,e,r){"use strict";function n(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function i(t,e,r,i){return n(i,i,r),n(i,i,e),n(i,i,t)}function a(t,e){this.index=t,this.dataCoordinate=this.position=e}function o(t,e,r,n,i,o,s,l,c,u,f,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=o,this.glyphBuffer=s,this.idBuffer=l,this.vao=c,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=f,this.pickProjectShader=h,this.points=[],this._selectResult=new a(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.dirty=!0}function s(t){return t[0]=t[1]=t[2]=0,t}function l(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function c(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function u(t){for(var e=S,r=0;2>r;++r)for(var n=0;3>n;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}function f(t,e,r,n,a){var o,f=e.axesProject,h=e.gl,d=t.uniforms,p=r.model||x,g=r.view||x,v=r.projection||x,y=e.axesBounds,b=u(e.clipBounds);o=e.axes?e.axes.lastCubeProps.axis:[1,1,1],w[0]=2/h.drawingBufferWidth,w[1]=2/h.drawingBufferHeight,t.bind(),d.view=g,d.projection=v,d.screenSize=w,d.highlightId=e.highlightId,d.highlightScale=e.highlightScale,d.clipBounds=b,d.pickGroup=e.pickId/255,d.pixelRatio=e.pixelRatio;for(var _=0;3>_;++_)if(f[_]&&e.projectOpacity[_]<1===n){d.scale=e.projectScale[_],d.opacity=e.projectOpacity[_];for(var S=E,C=0;16>C;++C)S[C]=0;for(var C=0;4>C;++C)S[5*C]=1;S[5*_]=0,o[_]<0?S[12+_]=y[0][_]:S[12+_]=y[1][_],m(S,p,S),d.model=S;var z=(_+1)%3,P=(_+2)%3,R=s(k),O=s(A);R[z]=1,O[P]=1;var I=i(v,g,p,l(M,R)),N=i(v,g,p,l(T,O));if(Math.abs(I[1])>Math.abs(N[1])){var j=I;I=N,N=j,j=R,R=O,O=j;var F=z;z=P,P=F}I[0]<0&&(R[z]=-1),N[1]>0&&(O[P]=-1);for(var D=0,B=0,C=0;4>C;++C)D+=Math.pow(p[4*z+C],2),B+=Math.pow(p[4*P+C],2);R[z]/=Math.sqrt(D),O[P]/=Math.sqrt(B),d.axes[0]=R,d.axes[1]=O,d.fragClipBounds[0]=c(L,b[0],_,-1e8),d.fragClipBounds[1]=c(L,b[1],_,1e8),e.vao.draw(h.TRIANGLES,e.vertexCount),e.lineWidth>0&&(h.lineWidth(e.lineWidth),e.vao.draw(h.LINES,e.lineVertexCount,e.vertexCount))}}function h(t,e,r,n,i,a){var o=r.gl;if(r.vao.bind(),i===r.opacity<1||a){t.bind();var s=t.uniforms;s.model=n.model||x,s.view=n.view||x,s.projection=n.projection||x,w[0]=2/o.drawingBufferWidth,w[1]=2/o.drawingBufferHeight,s.screenSize=w,s.highlightId=r.highlightId,s.highlightScale=r.highlightScale,s.fragClipBounds=P,s.clipBounds=r.axes.bounds,s.opacity=r.opacity,s.pickGroup=r.pickId/255,s.pixelRatio=r.pixelRatio,r.vao.draw(o.TRIANGLES,r.vertexCount),r.lineWidth>0&&(o.lineWidth(r.lineWidth),r.vao.draw(o.LINES,r.lineVertexCount,r.vertexCount))}f(e,r,n,i,a),r.vao.unbind()}function d(t){var e=t.gl,r=y.createPerspective(e),n=y.createOrtho(e),i=y.createProject(e),a=y.createPickPerspective(e),s=y.createPickOrtho(e),l=y.createPickProject(e),c=p(e),u=p(e),f=p(e),h=p(e),d=g(e,[{buffer:c,size:3,type:e.FLOAT},{buffer:u,size:4,type:e.FLOAT},{buffer:f,size:2,type:e.FLOAT},{buffer:h,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new o(e,r,n,i,c,u,f,h,d,a,s,l);return v.update(t),v}var p=t("gl-buffer"),g=t("gl-vao"),v=t("typedarray-pool"),m=t("gl-mat4/multiply"),y=t("./lib/shaders"),b=t("./lib/glyphs"),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];e.exports=d;var _=o.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.opacity<1)return!0;for(var t=0;3>t;++t)if(this.axesProject[t]&&this.projectOpacity[t]<1)return!0;return!1},_.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;3>t;++t)if(this.axesProject[t]&&this.projectOpacity[t]>=1)return!0;return!1};var w=[0,0],k=[0,0,0],A=[0,0,0],M=[0,0,0,1],T=[0,0,0,1],E=x.slice(),L=[0,0,0],S=[[0,0,0],[0,0,0]],C=[-1e8,-1e8,-1e8],z=[1e8,1e8,1e8],P=[C,z];_.draw=function(t){var e=this.useOrtho?this.orthoShader:this.shader;h(e,this.projectShader,this,t,!1,!1)},_.drawTransparent=function(t){var e=this.useOrtho?this.orthoShader:this.shader;h(e,this.projectShader,this,t,!0,!1)},_.drawPick=function(t){var e=this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader;h(e,this.pickProjectShader,this,t,!1,!0)},_.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||0>e)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;3>i;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},_.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},_.update=function(t){if(t=t||{},"perspective"in t&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if("projectOpacity"in t)if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{var r=+t.projectOpacity;this.projectOpacity=[r,r,r]}"opacity"in t&&(this.opacity=t.opacity),this.dirty=!0;var n=t.position;if(n){var i=t.font||"normal",a=t.alignment||[0,0],o=[1/0,1/0,1/0],s=[-(1/0),-(1/0),-(1/0)],l=t.glyph,c=t.color,u=t.size,f=t.angle,h=t.lineColor,d=0,p=0,g=0,m=n.length;t:for(var y=0;m>y;++y){for(var x=n[y],_=0;3>_;++_)if(isNaN(x[_])||!isFinite(x[_]))continue t;var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b("\u25cf",i);var k=w[0],A=w[1],M=w[2];p+=3*k.cells.length,g+=2*A.edges.length}var T=p+g,E=v.mallocFloat(3*T),L=v.mallocFloat(4*T),S=v.mallocFloat(2*T),C=v.mallocUint32(T),z=[0,a[1]],P=0,R=p,O=[0,0,0,1],I=[0,0,0,1],N=Array.isArray(c)&&Array.isArray(c[0]),j=Array.isArray(h)&&Array.isArray(h[0]);t:for(var y=0;m>y;++y){for(var x=n[y],_=0;3>_;++_){if(isNaN(x[_])||!isFinite(x[_])){d+=1;continue t}s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_])}var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b("\u25cf",i);var k=w[0],A=w[1],M=w[2];if(Array.isArray(c)){var F;if(F=N?c[y]:c,3===F.length){for(var _=0;3>_;++_)O[_]=F[_];O[3]=1}else if(4===F.length)for(var _=0;4>_;++_)O[_]=F[_]}else O[0]=O[1]=O[2]=0,O[3]=1;if(Array.isArray(h)){var F;if(F=j?h[y]:h,3===F.length){for(var _=0;3>_;++_)I[_]=F[_];I[_]=1}else if(4===F.length)for(var _=0;4>_;++_)I[_]=F[_]}else I[0]=I[1]=I[2]=0,I[3]=1;var D=.5;Array.isArray(u)?D=+u[y]:u?D=+u:this.useOrtho&&(D=12);var B=0;Array.isArray(f)?B=+f[y]:f&&(B=+f);for(var 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l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&a.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&a.drawLine(l,c,l,s[3],e[3],r[3])}},a.dispose=function(){this.plot.removeOverlay(this)}},{}],175:[function(t,e,r){var n=t("gl-shader"),i="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\n\nvoid main() {\n worldCoordinate = vec3(uv.zw, f.x);\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n vec4 clipPosition = projection * view * worldPosition;\n gl_Position = clipPosition;\n kill = f.y;\n value = f.z;\n planeCoordinate = uv.xy;\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * worldPosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n lightDirection = lightPosition - cameraCoordinate.xyz;\n eyeDirection = eyePosition - cameraCoordinate.xyz;\n surfaceNormal = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n",a="precision mediump float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution_2_0(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\n\n\nfloat beckmannSpecular_1_1(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness) {\n return beckmannDistribution_2_0(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\n\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\n\nvoid main() {\n if(kill > 0.0 ||\n any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\n discard;\n }\n\n vec3 N = normalize(surfaceNormal);\n vec3 V = normalize(eyeDirection);\n vec3 L = normalize(lightDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = beckmannSpecular_1_1(L, V, N, roughness);\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = texture2D(colormap, vec2(value, value));\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n",o="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\n\nvoid main() {\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n vec4 worldPosition = model * vec4(dataCoordinate, 1.0);\n\n vec4 clipPosition = projection * view * worldPosition;\n clipPosition.z = clipPosition.z + zOffset;\n\n gl_Position = clipPosition;\n value = f;\n kill = -1.0;\n worldCoordinate = dataCoordinate;\n planeCoordinate = uv.zw;\n\n //Don't do lighting for contours\n surfaceNormal = vec3(1,0,0);\n eyeDirection = vec3(0,1,0);\n lightDirection = vec3(0,0,1);\n}\n",s="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n float vh = 255.0 * v;\n float upper = floor(vh);\n float lower = fract(vh);\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n if(kill > 0.0 ||\n any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\n discard;\n }\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n";r.createShader=function(t){var e=n(t,i,a,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,s,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,o,a,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,o,s,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{"gl-shader":156}],176:[function(t,e,r){arguments[4][21][0].apply(r,arguments)},{dup:21}],177:[function(t,e,r){"use strict";function n(t){if(t in l)return l[t];for(var e=[],r=0;t>r;++r)e.push("out",r,"s=0.5*(inp",r,"l-inp",r,"r);");for(var n=["array"],i=["junk"],r=0;t>r;++r){n.push("array"),i.push("out"+r+"s");var a=o(t);a[r]=-1,n.push({array:0,offset:a.slice()}),a[r]=1,n.push({array:0,offset:a.slice()}),i.push("inp"+r+"l","inp"+r+"r")}return 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u=[],d=0;a>d;++d)s&1<=s;++s)v.push("grad"+s),m.push(n(s));v.push(o.join(""));var y=Function.apply(void 0,v),i=y.apply(void 0,m);return l[r]=i,i}function a(t,e,r){if(Array.isArray(r)){if(r.length!==e.dimension)throw new Error("ndarray-gradient: invalid boundary conditions")}else r="string"==typeof r?o(e.dimension,r):o(e.dimension,"clamp");if(t.dimension!==e.dimension+1)throw new Error("ndarray-gradient: output dimension must be +1 input dimension");if(t.shape[e.dimension]!==e.dimension)throw new Error("ndarray-gradient: output shape must match input shape");for(var n=0;nr;++r)for(o=o||e.surfaceProject[r],n=0;3>n;++n)s=s||e.contourProject[r][n];for(r=0;3>r;++r){var l=D.projections[r];for(n=0;16>n;++n)l[n]=0;for(n=0;4>n;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],k(l,t.model,l);var c=D.clipBounds[r];for(i=0;2>i;++i)for(n=0;3>n;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return D.showSurface=o,D.showContour=s,D}function s(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=B;n.model=t.model||R,n.view=t.view||R,n.projection=t.projection||R,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.contourColor=this.contourColor[0],n.inverseModel=A(n.inverseModel,n.model);for(var i=0;2>i;++i)for(var a=n.clipBounds[i],s=0;3>s;++s)a[s]=Math.min(Math.max(this.clipBounds[i][s],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=V;var l=U;for(k(l,n.view,n.model),k(l,n.projection,l),A(l,l),i=0;3>i;++i)n.eyePosition[i]=l[12+i]/l[15];var c=l[15];for(i=0;3>i;++i)c+=this.lightPosition[i]*l[4*i+3];for(i=0;3>i;++i){var u=l[12+i];for(s=0;3>s;++s)u+=l[4*s+i]*this.lightPosition[s];n.lightPosition[i]=u/c}var f=o(n,this);if(f.showSurface&&e===this.opacity<1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;3>i;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=f.projections[i],this._shader.uniforms.clipBounds=f.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(f.showContour&&!e){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var d=this._contourVAO;for(d.bind(),i=0;3>i;++i)for(h.uniforms.permutation=I[i],r.lineWidth(this.contourWidth[i]),s=0;si;++i)for(h.uniforms.model=f.projections[i],h.uniforms.clipBounds=f.clipBounds[i],s=0;3>s;++s)if(this.contourProject[i][s]){h.uniforms.permutation=I[s],r.lineWidth(this.contourWidth[s]);for(var p=0;pi;++i)if(0!==this._dynamicCounts[i])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=I[i],r.lineWidth(this.dynamicWidth[i]),h.uniforms.contourColor=this.dynamicColor[i],h.uniforms.contourTint=this.dynamicTint[i],h.uniforms.height=this.dynamicLevel[i],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),s=0;3>s;++s)this.contourProject[s][i]&&(h.uniforms.model=f.projections[s],h.uniforms.clipBounds=f.clipBounds[s],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));d.unbind()}}function l(t,e){var r=e.shape.slice(),n=t.shape.slice();b.assign(t.lo(1,1).hi(r[0],r[1]),e),b.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),b.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),b.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),b.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))}function c(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function u(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function f(t){if(Array.isArray(t)){if(Array.isArray(t))return[u(t[0]),u(t[1]),u(t[2])];var e=u(t);return[e.slice(),e.slice(),e.slice()]}}function h(t){var e=t.gl,r=L(e),n=C(e),i=S(e),o=z(e),s=p(e),l=g(e,[{buffer:s,size:4,stride:P,offset:0},{buffer:s,size:3,stride:P,offset:16},{buffer:s,size:3,stride:P,offset:28}]),c=p(e),u=g(e,[{buffer:c,size:4,stride:20,offset:0},{buffer:c,size:1,stride:20,offset:16}]),f=p(e),h=g(e,[{buffer:f,size:2,type:e.FLOAT}]),d=v(e,1,N,e.RGBA,e.UNSIGNED_BYTE);d.minFilter=e.LINEAR,d.magFilter=e.LINEAR;var m=new a(e,[0,0],[[0,0,0],[0,0,0]],r,n,s,l,d,i,o,c,u,f,h),y={levels:[[],[],[]]};for(var b in t)y[b]=t[b];return y.colormap=y.colormap||"jet",m.update(y),m}e.exports=h;var d=t("bit-twiddle"),p=t("gl-buffer"),g=t("gl-vao"),v=t("gl-texture2d"),m=t("typedarray-pool"),y=t("colormap"),b=t("ndarray-ops"),x=t("ndarray-pack"),_=t("ndarray"),w=t("surface-nets"),k=t("gl-mat4/multiply"),A=t("gl-mat4/invert"),M=t("binary-search-bounds"),T=t("ndarray-gradient"),E=t("./lib/shaders"),L=E.createShader,S=E.createContourShader,C=E.createPickShader,z=E.createPickContourShader,P=40,R=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],O=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],I=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];!function(){for(var t=0;3>t;++t){var e=I[t],r=(t+1)%3,n=(t+2)%3;e[r+0]=1,e[n+3]=1,e[t+6]=1}}();var N=265,j=a.prototype;j.isTransparent=function(){return this.opacity<1},j.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;3>t;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},j.pickSlots=1,j.setPickBase=function(t){this.pickId=t};var F=[0,0,0],D={showSurface:!1,showContour:!1,projections:[R.slice(),R.slice(),R.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]},B={model:R,view:R,projection:R,inverseModel:R.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1},U=R.slice(),V=[1,0,0,0,1,0,0,0,1];j.draw=function(t){return s.call(this,t,!1)},j.drawTransparent=function(t){return s.call(this,t,!0)};var q={model:R,view:R,projection:R,inverseModel:R,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};j.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=q;r.model=t.model||R,r.view=t.view||R,r.projection=t.projection||R,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.permutation=V;for(var n=0;2>n;++n)for(var i=r.clipBounds[n],a=0;3>a;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var s=o(r,this);if(s.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;3>n;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=s.projections[n],this._pickShader.uniforms.clipBounds=s.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(s.showContour){var l=this._contourPickShader;l.bind(),l.uniforms=r;var c=this._contourVAO;for(c.bind(),a=0;3>a;++a)for(e.lineWidth(this.contourWidth[a]),l.uniforms.permutation=I[a],n=0;nn;++n)for(l.uniforms.model=s.projections[n],l.uniforms.clipBounds=s.clipBounds[n],a=0;3>a;++a)if(this.contourProject[n][a]){l.uniforms.permutation=I[a],e.lineWidth(this.contourWidth[a]);for(var u=0;u>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;2>u;++u)for(var f=u?a:1-a,h=0;2>h;++h)for(var d=h?l:1-l,p=i+u,g=s+h,v=f*d,m=0;3>m;++m)c[m]+=this._field[m].get(p,g)*v;for(var y=this._pickResult.level,b=0;3>b;++b)if(y[b]=M.le(this.contourLevels[b],c[b]),y[b]<0)this.contourLevels[b].length>0&&(y[b]=0);else if(y[b]Math.abs(_-c[b])&&(y[b]+=1)}for(r.index[0]=.5>a?i:i+1,r.index[1]=.5>l?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],m=0;3>m;++m)r.dataCoordinate[m]=this._field[m].get(r.index[0],r.index[1]);return r},j.update=function(t){t=t||{},this.dirty=!0,"contourWidth"in t&&(this.contourWidth=c(t.contourWidth,Number)),"showContour"in t&&(this.showContour=c(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=c(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=f(t.contourColor)),"contourProject"in t&&(this.contourProject=c(t.contourProject,function(t){return c(t,Boolean)})),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=f(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=c(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=c(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"colorBounds"in t&&(this.colorBounds=t.colorBounds);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var n=(e.shape[0]+2)*(e.shape[1]+2);n>this._field[2].data.length&&(m.freeFloat(this._field[2].data),this._field[2].data=m.mallocFloat(d.nextPow2(n))),this._field[2]=_(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),l(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;2>o;++o)this._field[2].size>this._field[o].data.length&&(m.freeFloat(this._field[o].data),this._field[o].data=m.mallocFloat(this._field[2].size)),this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var s=t.coords;if(!Array.isArray(s)||3!==s.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;2>o;++o){var u=s[o];for(y=0;2>y;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");l(this._field[o],u)}}else if(t.ticks){var h=t.ticks;if(!Array.isArray(h)||2!==h.length)throw new Error("gl-surface: invalid ticks");for(o=0;2>o;++o){var p=h[o];if((Array.isArray(p)||p.length)&&(p=_(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var g=_(p.data,a);g.stride[o]=p.stride[0],g.stride[1^o]=0,l(this._field[o],g)}}else{for(o=0;2>o;++o){var v=[0,0];v[o]=1,this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;yo;++o)T(x.pick(o),b[o],"mirror");var k=_(m.mallocFloat(3*b[2].size),[a[0]+2,a[1]+2,3]);for(o=0;oI?(I=Math.max(Math.abs(z),Math.abs(P),Math.abs(R)),1e-8>I?(R=1,P=z=0,I=1):I=1/I):I=1/Math.sqrt(I),k.set(o,y,0,z*I),k.set(o,y,1,P*I),k.set(o,y,2,R*I)}m.free(x.data);var N=[1/0,1/0,1/0],j=[-(1/0),-(1/0),-(1/0)],F=1/0,D=-(1/0),B=(a[0]-1)*(a[1]-1)*6,U=m.mallocFloat(d.nextPow2(10*B)),V=0,q=0;for(o=0;oH;++H)for(var G=0;2>G;++G)for(var Y=0;3>Y;++Y){var X=this._field[Y].get(1+o+H,1+y+G);if(isNaN(X)||!isFinite(X))continue t}for(Y=0;6>Y;++Y){var W=o+O[Y][0],Z=y+O[Y][1],K=this._field[0].get(W+1,Z+1),$=this._field[1].get(W+1,Z+1);X=this._field[2].get(W+1,Z+1);var Q=X;z=k.get(W+1,Z+1,0),P=k.get(W+1,Z+1,1),R=k.get(W+1,Z+1,2),t.intensity&&(Q=t.intensity.get(W,Z)),U[V++]=W,U[V++]=Z,U[V++]=K,U[V++]=$,U[V++]=X,U[V++]=0,U[V++]=Q,U[V++]=z,U[V++]=P,U[V++]=R,N[0]=Math.min(N[0],K),N[1]=Math.min(N[1],$),N[2]=Math.min(N[2],X),F=Math.min(F,Q),j[0]=Math.max(j[0],K),j[1]=Math.max(j[1],$),j[2]=Math.max(j[2],X),D=Math.max(D,Q),q+=1}}for(t.intensityBounds&&(F=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;V>o;o+=10)U[o]=(U[o]-F)/(D-F);this._vertexCount=q, -this._coordinateBuffer.update(U.subarray(0,V)),m.freeFloat(U),m.free(k.data),this.bounds=[N,j],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===F&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[F,D]}if("levels"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;3>o;++o)J[o]=J[o].slice(),J.sort(function(t,e){return t-e});t:for(o=0;3>o;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;yet;++et){J=this.contourLevels[et];var rt=[],nt=[],it=[0,0,0];for(o=0;oY;++Y){var st=at.positions[ot[Y]],lt=st[0],ct=0|Math.floor(lt),ut=lt-ct,ft=st[1],ht=0|Math.floor(ft),dt=ft-ht,pt=!1;e:for(var gt=0;3>gt;++gt){it[gt]=0;var vt=(et+gt+1)%3;for(H=0;2>H;++H){var mt=H?ut:1-ut;for(W=0|Math.min(Math.max(ct+H,0),a[0]),G=0;2>G;++G){var yt=G?dt:1-dt;if(Z=0|Math.min(Math.max(ht+G,0),a[1]),X=2>gt?this._field[vt].get(W,Z):(this.intensity.get(W,Z)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(X)||isNaN(X)){pt=!0;break e}var bt=mt*yt;it[gt]+=bt*X}}}if(pt){if(Y>0){for(var xt=0;5>xt;++xt)tt.pop();q-=1}continue t}tt.push(it[0],it[1],st[0],st[1],it[2]),q+=1}}nt.push(q)}this._contourOffsets[et]=rt,this._contourCounts[et]=nt}var _t=m.mallocFloat(tt.length);for(o=0;ot;++t)m.freeFloat(this._field[t].data)},j.highlight=function(t){if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(var e=0;3>e;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;var r;if(r=this.snapToData?t.dataCoordinate:t.position,this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=m.mallocFloat(12*i[0]*i[1]),o=0;3>o;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var s=(o+1)%3,l=(o+2)%3,c=this._field[o],u=this._field[s],f=this._field[l],h=(this.intensity,w(c,r[o])),d=h.cells,p=h.positions;for(this._dynamicOffsets[o]=n,e=0;ev;++v){var y=p[g[v]],b=+y[0],x=0|b,_=0|Math.min(x+1,i[0]),k=b-x,A=1-k,M=+y[1],T=0|M,E=0|Math.min(T+1,i[1]),L=M-T,S=1-L,C=A*S,z=A*L,P=k*S,R=k*L,O=C*u.get(x,T)+z*u.get(x,E)+P*u.get(_,T)+R*u.get(_,E),I=C*f.get(x,T)+z*f.get(x,E)+P*f.get(_,T)+R*f.get(_,E);if(isNaN(O)||isNaN(I)){v&&(n-=1);break}a[2*n+0]=O,a[2*n+1]=I,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),m.freeFloat(a)}}},{"./lib/shaders":175,"binary-search-bounds":176,"bit-twiddle":50,colormap:59,"gl-buffer":77,"gl-mat4/invert":96,"gl-mat4/multiply":98,"gl-texture2d":181,"gl-vao":185,ndarray:212,"ndarray-gradient":177,"ndarray-ops":211,"ndarray-pack":178,"surface-nets":231,"typedarray-pool":237}],181:[function(t,e,r){"use strict";function n(t){v=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],m=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],y=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function i(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(0>e||e>i||0>r||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function a(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}function o(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function s(t,e,r,n,i,a,s,l){var c=l.dtype,u=l.shape.slice();if(u.length<2||u.length>3)throw new Error("gl-texture2d: Invalid ndarray, must be 2d or 3d");var f=0,h=0,v=o(u,l.stride.slice());"float32"===c?f=t.FLOAT:"float64"===c?(f=t.FLOAT,v=!1,c="float32"):"uint8"===c?f=t.UNSIGNED_BYTE:(f=t.UNSIGNED_BYTE,v=!1,c="uint8");var m=1;if(2===u.length)h=t.LUMINANCE,u=[u[0],u[1],1],l=d(l.data,u,[l.stride[0],l.stride[1],1],l.offset);else{if(3!==u.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===u[2])h=t.ALPHA;else if(2===u[2])h=t.LUMINANCE_ALPHA;else if(3===u[2])h=t.RGB;else{if(4!==u[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");h=t.RGBA}m=u[2]}if(h!==t.LUMINANCE&&h!==t.ALPHA||i!==t.LUMINANCE&&i!==t.ALPHA||(h=i),h!==i)throw new Error("gl-texture2d: Incompatible texture format for setPixels");var y=l.size,x=s.indexOf(n)<0;if(x&&s.push(n),f===a&&v)0===l.offset&&l.data.length===y?x?t.texImage2D(t.TEXTURE_2D,n,i,u[0],u[1],0,i,a,l.data):t.texSubImage2D(t.TEXTURE_2D,n,e,r,u[0],u[1],i,a,l.data):x?t.texImage2D(t.TEXTURE_2D,n,i,u[0],u[1],0,i,a,l.data.subarray(l.offset,l.offset+y)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,u[0],u[1],i,a,l.data.subarray(l.offset,l.offset+y));else{var _;_=a===t.FLOAT?g.mallocFloat32(y):g.mallocUint8(y);var w=d(_,u,[u[2],u[2]*u[0],1]);f===t.FLOAT&&a===t.UNSIGNED_BYTE?b(w,l):p.assign(w,l),x?t.texImage2D(t.TEXTURE_2D,n,i,u[0],u[1],0,i,a,_.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,u[0],u[1],i,a,_.subarray(0,y)),a===t.FLOAT?g.freeFloat32(_):g.freeUint8(_)}}function l(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function c(t,e,r,n,i){var o=t.getParameter(t.MAX_TEXTURE_SIZE);if(0>e||e>o||0>r||r>o)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var s=l(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new a(t,s,e,r,n,i)}function u(t,e,r,n){var i=l(t);return t.texImage2D(t.TEXTURE_2D,0,r,r,n,e),new a(t,i,0|e.width,0|e.height,r,n)}function f(t,e){var r=e.dtype,n=e.shape.slice(),i=t.getParameter(t.MAX_TEXTURE_SIZE);if(n[0]<0||n[0]>i||n[1]<0||n[1]>i)throw new Error("gl-texture2d: Invalid texture size");var s=o(n,e.stride.slice()),c=0;"float32"===r?c=t.FLOAT:"float64"===r?(c=t.FLOAT,s=!1,r="float32"):"uint8"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,s=!1,r="uint8");var u=0;if(2===n.length)u=t.LUMINANCE,n=[n[0],n[1],1],e=d(e.data,n,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==n.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===n[2])u=t.ALPHA;else if(2===n[2])u=t.LUMINANCE_ALPHA;else if(3===n[2])u=t.RGB;else{if(4!==n[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");u=t.RGBA}}c!==t.FLOAT||t.getExtension("OES_texture_float")||(c=t.UNSIGNED_BYTE,s=!1);var f,h,v=e.size;if(s)f=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var m=[n[2],n[2]*n[0],1];h=g.malloc(v,r);var y=d(h,n,m,0);"float32"!==r&&"float64"!==r||c!==t.UNSIGNED_BYTE?p.assign(y,e):b(y,e),f=h.subarray(0,v)}var x=l(t);return t.texImage2D(t.TEXTURE_2D,0,u,n[0],n[1],0,u,c,f),s||g.free(h),new a(t,x,n[0],n[1],u,c)}function h(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");if(v||n(t),"number"==typeof arguments[1])return c(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return c(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1];if(e instanceof HTMLCanvasElement||e instanceof HTMLImageElement||e instanceof HTMLVideoElement||e instanceof ImageData)return u(t,e,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return f(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")}var d=t("ndarray"),p=t("ndarray-ops"),g=t("typedarray-pool");e.exports=h;var v=null,m=null,y=null,b=function(t,e){p.muls(t,e,255)},x=a.prototype;Object.defineProperties(x,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&v.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),m.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&v.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),m.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return 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this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return i(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return t=0|t,i(this,t,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t=0|t,i(this,this._shape[0],t),t}}}),x.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},x.dispose=function(){this.gl.deleteTexture(this.handle)},x.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},x.setPixels=function(t,e,r,n){var i=this.gl;if(this.bind(),Array.isArray(e)?(n=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),n=n||0,t instanceof 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-i.prototype.toString=function(t,e){if(t=t||10,16===t||"hex"===t){for(var n="",i=0,e=0|e||1,a=0,o=0;o>>24-i&16777215,n=0!==a||o!==this.length-1?p[6-l.length]+l+n:l+n,i+=2,i>=26&&(i-=26,o--)}for(0!==a&&(n=a.toString(16)+n);n.length%e!==0;)n="0"+n;return this.sign&&(n="-"+n),n}if(t===(0|t)&&t>=2&&36>=t){var c=g[t],u=v[t],n="",f=this.clone();for(f.sign=!1;0!==f.cmpn(0);){var h=f.modn(u).toString(t);f=f.idivn(u),n=0!==f.cmpn(0)?p[c-h.length]+h+n:h+n}return 0===this.cmpn(0)&&(n="0"+n),this.sign&&(n="-"+n),n}r(!1,"Base should be between 2 and 36")},i.prototype.toJSON=function(){return this.toString(16)},i.prototype.toArray=function(t){this.strip();var e=new Array(this.byteLength());e[0]=0;var r=this.clone();if("le"!==t)for(var n=0;0!==r.cmpn(0);n++){var i=r.andln(255);r.ishrn(8),e[e.length-n-1]=i}else for(var n=0;0!==r.cmpn(0);n++){var i=r.andln(255);r.ishrn(8),e[n]=i}return e},Math.clz32?i.prototype._countBits=function(t){return 32-Math.clz32(t)}:i.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},i.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0===(8191&e)&&(r+=13,e>>>=13),0===(127&e)&&(r+=7,e>>>=7),0===(15&e)&&(r+=4,e>>>=4),0===(3&e)&&(r+=2,e>>>=2),0===(1&e)&&r++,r},i.prototype.bitLength=function(){var t=0,e=this.words[this.length-1],t=this._countBits(e);return 26*(this.length-1)+t},i.prototype.zeroBits=function(){if(0===this.cmpn(0))return 0;for(var t=0,e=0;et.length?this.clone().ior(t):t.clone().ior(this)},i.prototype.iand=function(t){this.sign=this.sign&&t.sign;var e;e=this.length>t.length?t:this;for(var r=0;rt.length?this.clone().iand(t):t.clone().iand(this)},i.prototype.ixor=function(t){this.sign=this.sign||t.sign;var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;nt.length?this.clone().ixor(t):t.clone().ixor(this)},i.prototype.setn=function(t,e){r("number"==typeof t&&t>=0);for(var n=t/26|0,i=t%26;this.length<=n;)this.words[this.length++]=0;return e?this.words[n]=this.words[n]|1<t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a>>26}for(;0!==i&&a>>26}if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;at.length?this.clone().iadd(t):t.clone().iadd(this)},i.prototype.isub=function(t){if(t.sign){t.sign=!1;var e=this.iadd(t);return t.sign=!0,e._normSign()}if(this.sign)return this.sign=!1,this.iadd(t),this.sign=!0,this._normSign();var r=this.cmp(t);if(0===r)return this.sign=!1,this.length=1,this.words[0]=0,this;var n,i;r>0?(n=this,i=t):(n=t,i=this);for(var a=0,o=0;o>26,this.words[o]=67108863&e}for(;0!==a&&o>26,this.words[o]=67108863&e}if(0===a&&o>>26,a=67108863&r,o=Math.min(n,t.length-1),s=Math.max(0,n-this.length+1);o>=s;s++){var l=n-s,c=0|this.words[l],u=0|t.words[s],f=c*u,h=67108863&f;i=i+(f/67108864|0)|0,h=h+a|0,a=67108863&h,i=i+(h>>>26)|0}e.words[n]=a,r=i}return 0!==r?e.words[n]=r:e.length--,e.strip()},i.prototype._bigMulTo=function(t,e){e.sign=t.sign!==this.sign,e.length=this.length+t.length;for(var r=0,n=0,i=0;i=l;l++){var c=i-l,u=0|this.words[c],f=0|t.words[l],h=u*f,d=67108863&h;a=a+(h/67108864|0)|0,d=d+o|0,o=67108863&d,a=a+(d>>>26)|0,n+=a>>>26,a&=67108863}e.words[i]=o,r=a,a=n}return 0!==r?e.words[i]=r:e.length--,e.strip()},i.prototype.mulTo=function(t,e){var r;return r=this.length+t.length<63?this._smallMulTo(t,e):this._bigMulTo(t,e)},i.prototype.mul=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},i.prototype.imul=function(t){if(0===this.cmpn(0)||0===t.cmpn(0))return this.words[0]=0,this.length=1,this;var e=this.length,r=t.length;this.sign=t.sign!==this.sign,this.length=this.length+t.length,this.words[this.length-1]=0;for(var n=this.length-2;n>=0;n--){for(var i=0,a=0,o=Math.min(n,r-1),s=Math.max(0,n-e+1);o>=s;s++){var l=n-s,c=this.words[l],u=t.words[s],f=c*u,h=67108863&f;i+=f/67108864|0,h+=a,a=67108863&h,i+=h>>>26}this.words[n]=a,this.words[n+1]+=i,i=0}for(var i=0,l=1;l>>26}return this.strip()},i.prototype.imuln=function(t){r("number"==typeof t);for(var e=0,n=0;n>=26,e+=i/67108864|0,e+=a>>>26,this.words[n]=67108863&a}return 0!==e&&(this.words[n]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.mul(this)},i.prototype.ishln=function(t){r("number"==typeof t&&t>=0);var e=t%26,n=(t-e)/26,i=67108863>>>26-e<<26-e;if(0!==e){for(var a=0,o=0;o>>26-e}a&&(this.words[o]=a,this.length++)}if(0!==n){for(var o=this.length-1;o>=0;o--)this.words[o+n]=this.words[o];for(var o=0;n>o;o++)this.words[o]=0;this.length+=n}return this.strip()},i.prototype.ishrn=function(t,e,n){r("number"==typeof t&&t>=0);var i;i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<c;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o){this.length-=o;for(var c=0;c=0&&(0!==u||c>=i);c--){var f=this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip(),this},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.testn=function(t){r("number"==typeof t&&t>=0);var e=t%26,n=(t-e)/26,i=1<=0);var e=t%26,n=(t-e)/26;if(r(!this.sign,"imaskn works only with positive numbers"),0!==e&&n++,this.length=Math.min(n,this.length),0!==e){var i=67108863^67108863>>>e<t?this.isubn(-t):this.sign?1===this.length&&this.words[0]=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(t){if(r("number"==typeof t),0>t)return this.iaddn(-t);if(this.sign)return this.sign=!1,this.iaddn(t),this.sign=!0,this;this.words[0]-=t;for(var e=0;e>26)-(c/67108864|0),this.words[i+n]=67108863&l}for(;i>26,this.words[i+n]=67108863&l}if(0===s)return this.strip();r(-1===s),s=0;for(var i=0;i>26,this.words[i]=67108863&l}return this.sign=!0,this.strip()},i.prototype._wordDiv=function(t,e){var r=this.length-t.length,n=this.clone(),a=t,o=a.words[a.length-1],s=this._countBits(o);r=26-s,0!==r&&(a=a.shln(r),n.ishln(r),o=a.words[a.length-1]);var l,c=n.length-a.length;if("mod"!==e){l=new i(null),l.length=c+1,l.words=new Array(l.length);for(var u=0;u=0;h--){var d=67108864*n.words[a.length+h]+n.words[a.length+h-1];for(d=Math.min(d/o|0,67108863),n._ishlnsubmul(a,d,h);n.sign;)d--,n.sign=!1,n._ishlnsubmul(a,1,h),0!==n.cmpn(0)&&(n.sign=!n.sign);l&&(l.words[h]=d)}return l&&l.strip(),n.strip(),"div"!==e&&0!==r&&n.ishrn(r),{div:l?l:null,mod:n}},i.prototype.divmod=function(t,e){if(r(0!==t.cmpn(0)),this.sign&&!t.sign){var n,a,o=this.neg().divmod(t,e);return"mod"!==e&&(n=o.div.neg()),"div"!==e&&(a=0===o.mod.cmpn(0)?o.mod:t.sub(o.mod)),{div:n,mod:a}}if(!this.sign&&t.sign){var n,o=this.divmod(t.neg(),e);return"mod"!==e&&(n=o.div.neg()),{div:n,mod:o.mod}}return this.sign&&t.sign?this.neg().divmod(t.neg(),e):t.length>this.length||this.cmp(t)<0?{div:new i(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e)},i.prototype.div=function(t){return this.divmod(t,"div").div},i.prototype.mod=function(t){return this.divmod(t,"mod").mod},i.prototype.divRound=function(t){var e=this.divmod(t);if(0===e.mod.cmpn(0))return e.div;var r=e.div.sign?e.mod.isub(t):e.mod,n=t.shrn(1),i=t.andln(1),a=r.cmp(n);return 0>a||1===i&&0===a?e.div:e.div.sign?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){r(67108863>=t);for(var e=(1<<26)%t,n=0,i=this.length-1;i>=0;i--)n=(e*n+this.words[i])%t;return n},i.prototype.idivn=function(t){r(67108863>=t);for(var e=0,n=this.length-1;n>=0;n--){var i=this.words[n]+67108864*e;this.words[n]=i/t|0,e=i%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.prototype.egcd=function(t){r(!t.sign),r(0!==t.cmpn(0));var e=this,n=t.clone();e=e.sign?e.mod(t):e.clone();for(var a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&n.isEven();)e.ishrn(1),n.ishrn(1),++c;for(var u=n.clone(),f=e.clone();0!==e.cmpn(0);){for(;e.isEven();)e.ishrn(1),a.isEven()&&o.isEven()?(a.ishrn(1),o.ishrn(1)):(a.iadd(u).ishrn(1),o.isub(f).ishrn(1));for(;n.isEven();)n.ishrn(1),s.isEven()&&l.isEven()?(s.ishrn(1),l.ishrn(1)):(s.iadd(u).ishrn(1),l.isub(f).ishrn(1));e.cmp(n)>=0?(e.isub(n),a.isub(s),o.isub(l)):(n.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:n.ishln(c)}},i.prototype._invmp=function(t){r(!t.sign),r(0!==t.cmpn(0));var e=this,n=t.clone();e=e.sign?e.mod(t):e.clone();for(var a=new i(1),o=new i(0),s=n.clone();e.cmpn(1)>0&&n.cmpn(1)>0;){for(;e.isEven();)e.ishrn(1),a.isEven()?a.ishrn(1):a.iadd(s).ishrn(1);for(;n.isEven();)n.ishrn(1),o.isEven()?o.ishrn(1):o.iadd(s).ishrn(1);e.cmp(n)>=0?(e.isub(n),a.isub(o)):(n.isub(e),o.isub(a))}return 0===e.cmpn(1)?a:o},i.prototype.gcd=function(t){if(0===this.cmpn(0))return t.clone();if(0===t.cmpn(0))return this.clone();var e=this.clone(),r=t.clone();e.sign=!1,r.sign=!1;for(var n=0;e.isEven()&&r.isEven();n++)e.ishrn(1),r.ishrn(1);for(;;){for(;e.isEven();)e.ishrn(1);for(;r.isEven();)r.ishrn(1);var i=e.cmp(r);if(0>i){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.ishln(n)},i.prototype.invm=function(t){return this.egcd(t).a.mod(t)},i.prototype.isEven=function(){return 0===(1&this.words[0])},i.prototype.isOdd=function(){return 1===(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){r("number"==typeof t);var e=t%26,n=(t-e)/26,i=1<a;a++)this.words[a]=0;return this.words[n]|=i,this.length=n+1,this}for(var o=i,a=n;0!==o&&a>>26,s&=67108863,this.words[a]=s}return 0!==o&&(this.words[a]=o,this.length++),this},i.prototype.cmpn=function(t){var e=0>t;if(e&&(t=-t),this.sign&&!e)return-1;if(!this.sign&&e)return 1;t&=67108863,this.strip();var r;if(this.length>1)r=1;else{var n=this.words[0];r=n===t?0:t>n?-1:1}return this.sign&&(r=-r),r},i.prototype.cmp=function(t){if(this.sign&&!t.sign)return-1;if(!this.sign&&t.sign)return 1;var e=this.ucmp(t);return this.sign?-e:e},i.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length=0;r--){var n=this.words[r],i=t.words[r];if(n!==i){i>n?e=-1:n>i&&(e=1);break}}return e},i.red=function(t){return new h(t)},i.prototype.toRed=function(t){return r(!this.red,"Already a number in reduction context"),r(!this.sign,"red works only with positives"),t.convertTo(this)._forceRed(t)},i.prototype.fromRed=function(){return r(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},i.prototype._forceRed=function(t){return this.red=t,this},i.prototype.forceRed=function(t){return r(!this.red,"Already a number in reduction context"),this._forceRed(t)},i.prototype.redAdd=function(t){return r(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},i.prototype.redIAdd=function(t){return r(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},i.prototype.redSub=function(t){return r(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},i.prototype.redISub=function(t){return r(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},i.prototype.redShl=function(t){return r(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},i.prototype.redMul=function(t){return r(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},i.prototype.redIMul=function(t){return r(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},i.prototype.redSqr=function(){return r(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},i.prototype.redISqr=function(){return r(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},i.prototype.redSqrt=function(){return r(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},i.prototype.redInvm=function(){return r(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},i.prototype.redNeg=function(){return r(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},i.prototype.redPow=function(t){return r(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var m={k256:null,p224:null,p192:null,p25519:null};s.prototype._tmp=function(){var t=new i(null);return t.words=new 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n=e.exports={},i=t("../plots/geo/constants").locationmodeToLayer,a=t("topojson").feature;n.getTopojsonName=function(t){return[t.scope.replace(/ /g,"-"),"_",t.resolution.toString(),"m"].join("")},n.getTopojsonPath=function(t,e){return t+e+".json"},n.getTopojsonFeatures=function(t,e){var r=i[t.locationmode],n=e.objects[r];return a(e,n).features}},{"../plots/geo/constants":422,topojson:234}],395:[function(t,e,r){"use strict";function n(t){var e;if("string"==typeof t){if(e=document.getElementById(t),null===e)throw new Error("No DOM element with id '"+t+"' exists on the page.");return e}if(null===t||void 0===t)throw new Error("DOM element provided is null or undefined");return t}function i(t,e){t._fullLayout._paperdiv.style("background","white"),P.defaultConfig.setBackground(t,e)}function a(t,e){t._context||(t._context=R.extendFlat({},P.defaultConfig));var r=t._context;e&&(Object.keys(e).forEach(function(t){t in 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e=S.select(t),r=t._fullLayout;if(r._container=e.selectAll(".plot-container").data([0]),r._container.enter().insert("div",":first-child").classed("plot-container",!0).classed("plotly",!0),r._paperdiv=r._container.selectAll(".svg-container").data([0]),r._paperdiv.enter().append("div").classed("svg-container",!0).style("position","relative"),"initial"===r.autosize&&(w(t,{}),r.autosize=!0,t.layout.autosize=!0),r._glcontainer=r._paperdiv.selectAll(".gl-container").data([0]),r._glcontainer.enter().append("div").classed("gl-container",!0),r._geocontainer=r._paperdiv.selectAll(".geo-container").data([0]),r._geocontainer.enter().append("div").classed("geo-container",!0),r._paperdiv.selectAll(".main-svg").remove(),r._paper=r._paperdiv.insert("svg",":first-child").classed("main-svg",!0),r._toppaper=r._paperdiv.append("svg").classed("main-svg",!0),!r._uid){var 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i=r.x*t.pixelRatio,a=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===n.dragmode)this.selectBox.enabled=!0,this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],t.setDirty();else{this.selectBox.enabled=!1;var o=n._size,s=this.xaxis.domain,c=this.yaxis.domain,u=t.pick(i/t.pixelRatio+o.l+s[0]*o.w,a/t.pixelRatio-(o.t+(1-c[1])*o.h));if(u&&n.hovermode){var f=u.object._trace.handlePick(u);if(f&&(!this.lastPickResult||this.lastPickResult.trace!==f.trace||this.lastPickResult.dataCoord[0]!==f.dataCoord[0]||this.lastPickResult.dataCoord[1]!==f.dataCoord[1])){var h=this.lastPickResult=f;this.spikes.update({center:u.dataCoord}),h.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(u.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(u.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio];var d=h.hoverinfo;if("all"!==d){var p=d.split("+");-1===p.indexOf("x")&&(h.traceCoord[0]=void 0),-1===p.indexOf("y")&&(h.traceCoord[1]=void 0),-1===p.indexOf("z")&&(h.traceCoord[2]=void 0),-1===p.indexOf("text")&&(h.textLabel=void 0),-1===p.indexOf("name")&&(h.name=void 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i=t("right-now"),a=t("3d-view"),o=t("mouse-change"),s=t("mouse-wheel")},{"3d-view":39,"mouse-change":200,"mouse-wheel":204,"right-now":214}],439:[function(t,e,r){"use strict";function n(t,e){for(var r=0;3>r;++r){var n=o[r];e[n]._gd=t}}var i=t("./scene"),a=t("../plots"),o=["xaxis","yaxis","zaxis"];r.name="gl3d",r.attr="scene",r.idRoot="scene",r.idRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attrRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attributes=t("./layout/attributes"),r.layoutAttributes=t("./layout/layout_attributes"),r.supplyLayoutDefaults=t("./layout/defaults"),r.plot=function(t){var e=t._fullLayout,r=t._fullData,o=a.getSubplotIds(e,"gl3d");e._paperdiv.style({width:e.width+"px",height:e.height+"px"}),t._context.setBackground(t,e.paper_bgcolor);for(var s=0;sr;++r){var n=t[c[r]];e.labels[r]=o(n.title),"titlefont"in 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n(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework()}function i(t){a.select(t).selectAll(".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners").remove()}var a=t("d3"),o=t("tinycolor2"),s=t("../../plotly"),l=t("../../lib"),c=t("../../components/color"),u=t("../../components/drawing"),f=t("../cartesian/set_convert"),h=t("../../lib/extend").extendFlat,d=t("../cartesian/axes"),p=t("../../lib/filter_visible"),g=t("../../components/dragelement"),v=t("../../components/titles"),m=t("../cartesian/select"),y=t("../cartesian/constants"),b=t("../cartesian/graph_interact");e.exports=n;var x=n.prototype;x.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={}},x.plot=function(t,e){var r,n=this,i=e[n.id],a=e._size;l.getPlotDiv(n.plotContainer.node())!==n.graphDiv&&(n.init(n.graphDiv._fullLayout),n.makeFramework()),n.adjustLayout(i,a);var 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n=j.getBoundingClientRect();x=e-n.left,w=r-n.top,L={a:N.aaxis.range[0],b:N.baxis.range[1],c:N.caxis.range[1]},C=L,S=N.aaxis.range[1]-L.a,z=o(N.graphDiv._fullLayout[N.id].bgcolor).getLuminance(),P="M0,"+N.h+"L"+N.w/2+", 0L"+N.w+","+N.h+"Z",R=!1,O=D.append("path").attr("class","zoombox").style({fill:z>.2?"rgba(0,0,0,0)":"rgba(255,255,255,0)","stroke-width":0}).attr("d",P),I=D.append("path").attr("class","zoombox-corners").style({fill:c.background,stroke:c.defaultLine,"stroke-width":1,opacity:0}).attr("d","M0,0Z"),p()}function e(t,e){return 1-e/N.h}function r(t,e){return 1-(t+(N.h-e)/Math.sqrt(3))/N.w}function n(t,e){return(t-(N.h-e)/Math.sqrt(3))/N.w}function a(t,i){var a=x+t,o=w+i,s=Math.max(0,Math.min(1,e(x,w),e(a,o))),l=Math.max(0,Math.min(1,r(x,w),r(a,o))),c=Math.max(0,Math.min(1,n(x,w),n(a,o))),u=(s/2+c)*N.w,f=(1-s/2-l)*N.w,h=(u+f)/2,d=f-u,p=(1-s)*N.h,g=p-d/_;d.2?"rgba(0,0,0,0.4)":"rgba(255,255,255,0.3)").duration(200),I.transition().style("opacity",1).duration(200),R=!0)}function 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e,r,n,i,a;for(e=0;e=0;i--)if(a=t[i],"scatter"===a.type&&a.xaxis===r.xaxis&&a.yaxis===r.yaxis){a.opacity=void 0;break}}},{}],557:[function(t,e,r){"use strict";var n=t("d3"),i=t("fast-isnumeric"),a=t("../../lib"),o=t("../../plots/plots"),s=t("../../components/colorscale/get_scale"),l=t("../../components/colorbar/draw");e.exports=function(t,e){var r=e[0].trace,c=r.marker,u="cb"+r.uid;if(t._fullLayout._infolayer.selectAll("."+u).remove(),void 0===c||!c.showscale)return void o.autoMargin(t,u);var f=s(c.colorscale),h=c.color,d=c.cmin,p=c.cmax;i(d)||(d=a.aggNums(Math.min,null,h)),i(p)||(p=a.aggNums(Math.max,null,h));var g=e[0].t.cb=l(t,u);g.fillcolor(n.scale.linear().domain(f.map(function(t){return d+t[0]*(p-d)})).range(f.map(function(t){return t[1]}))).filllevels({start:d,end:p,size:(p-d)/254}).options(c.colorbar)(),a.markTime("done 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r=t.framework.select(".scattergeolayer").selectAll("g.trace.scattergeo").data(e,function(t){return t.uid});r.enter().append("g").attr("class","trace scattergeo"),r.exit().remove(),r.selectAll("*").remove(),r.each(function(t){var e=s.select(this);g.hasLines(t)&&e.selectAll("path.js-line").data([i(t)]).enter().append("path").classed("js-line",!0)}),r.each(function(e){function r(r,n){if(t.showHover){var i=t.projection([r.lon,r.lat]);h(r),l.loneHover({x:i[0],y:i[1],name:v?e.name:void 0,text:r.textLabel,color:r.mc||(e.marker||{}).color},{container:t.hoverContainer.node()}),y=d(r,n),t.graphDiv.emit("plotly_hover",y)}}function n(e,r){t.graphDiv.emit("plotly_click",d(e,r))}var i=s.select(this),c=g.hasMarkers(e),u=g.hasText(e);if(c||u){var f=m.calcGeoJSON(e,t.topojson),h=a(t,e),d=o(e),p=e.hoverinfo,v="all"===p||-1!==p.indexOf("name"),y=null;c&&i.selectAll("path.point").data(f).enter().append("path").classed("point",!0).on("mouseover",r).on("click",n).on("mouseout",function(){l.loneUnhover(t.hoverContainer),t.graphDiv.emit("plotly_unhover",y)}).on("mousedown",function(){ -l.loneUnhover(t.hoverContainer)}).on("mouseup",r),u&&i.selectAll("g").data(f).enter().append("g").append("text")}}),m.style(t)},m.style=function(t){var e=t.framework.selectAll("g.trace.scattergeo");e.style("opacity",function(t){return t.opacity}),e.each(function(t){s.select(this).selectAll("path.point").call(p.pointStyle,t),s.select(this).selectAll("text").call(p.textPointStyle,t)}),e.selectAll("path.js-line").style("fill","none").each(function(t){var e=t.trace,r=e.line||{};s.select(this).call(d.stroke,r.color).call(p.dashLine,r.dash||"",r.width||0)})}},{"../../components/color":303,"../../components/drawing":325,"../../lib/array_to_calc_item":372,"../../lib/geo_location_utils":378,"../../lib/topojson_utils":394,"../../plots/cartesian/axes":403,"../../plots/cartesian/graph_interact":410,"../scatter/subtypes":573,"./attributes":582,d3:72}],587:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../constants/gl2d_dashes"),a=t("../../constants/gl_markers"),o=t("../../lib/extend").extendFlat,s=n.line,l=n.marker,c=l.line;e.exports={x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,text:o({},n.text,{}),mode:{valType:"flaglist",flags:["lines","markers"],extras:["none"]},line:{color:s.color,width:s.width,dash:{valType:"enumerated",values:Object.keys(i),dflt:"solid"}},marker:{color:l.color,symbol:{valType:"enumerated",values:Object.keys(a),dflt:"circle",arrayOk:!0},size:l.size,sizeref:l.sizeref,sizemin:l.sizemin,sizemode:l.sizemode,opacity:l.opacity,colorscale:l.colorscale,cauto:l.cauto,cmax:l.cmax,cmin:l.cmin,autocolorscale:l.autocolorscale,reversescale:l.reversescale,showscale:l.showscale,line:{color:c.color,width:c.width,colorscale:c.colorscale,cauto:c.cauto,cmax:c.cmax,cmin:c.cmin,autocolorscale:c.autocolorscale,reversescale:c.reversescale}},connectgaps:n.connectgaps,fill:o({},n.fill,{values:["none","tozeroy","tozerox"]}),fillcolor:n.fillcolor,_nestedModules:{error_x:"ErrorBars",error_y:"ErrorBars","marker.colorbar":"Colorbar"}}},{"../../constants/gl2d_dashes":366,"../../constants/gl_markers":368,"../../lib/extend":376,"../scatter/attributes":554}],588:[function(t,e,r){"use 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e=this.scene,r=e.xaxis,n=e.yaxis,a=this.bounds,o=this.pickXData=r.makeCalcdata(t,"x").slice(),l=this.pickYData=n.makeCalcdata(t,"y").slice();this.xData=o.slice(),this.yData=l.slice();var u,f,h,d,p,g,v,m,b=y.calcFromTrace(t,e.fullLayout),x=o.length,_=new Array(x),k=new Float32Array(2*x),A=new Float32Array(4*x),M=new Float32Array(4*x),T=0,E=0,S=0,z=0,P="log"===r.type?function(t){return r.d2l(t)}:function(t){return t},R="log"===n.type?function(t){return n.d2l(t)}:function(t){return t};for(u=0;x>u;++u)this.xData[u]=h=P(o[u]),this.yData[u]=d=R(l[u]),isNaN(h)||isNaN(d)||(_[T++]=u,k[E++]=h,k[E++]=d,p=A[S++]=h-b[u].xs||0,g=A[S++]=b[u].xh-h||0,A[S++]=0,A[S++]=0,M[z++]=0,M[z++]=0,v=M[z++]=d-b[u].ys||0,m=M[z++]=b[u].yh-d||0,a[0]=Math.min(a[0],h-p),a[1]=Math.min(a[1],d-v),a[2]=Math.max(a[2],h+g),a[3]=Math.max(a[3],d+m));k=c(k,E),this.idToIndex=_,this.updateLines(t,k),this.updateError("X",t,k,A),this.updateError("Y",t,k,M);var 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n=t("../../lib"),i=t("../scatter/constants"),a=t("../scatter/subtypes"),o=t("../scatter/xy_defaults"),s=t("../scatter/marker_defaults"),l=t("../scatter/line_defaults"),c=t("../scatter/fillcolor_defaults"),u=t("../../components/errorbars/defaults"),f=t("./attributes");e.exports=function(t,e,r,h){function d(r,i){return n.coerce(t,e,f,r,i)}var p=o(t,e,d);return p?(d("text"),d("mode",pr;r++)y=e.a[r],b=e.b[r],x=e.c[r],n(y)&&n(b)&&n(x)?(y=+y,b=+b,x=+x,_=v/(y+b+x),1!==_&&(y*=_,b*=_,x*=_),k=y,w=x-b,M[r]={x:w,y:k,a:y,b:b,c:x}):M[r]={x:!1,y:!1};var T,E;if(o.hasMarkers(e)&&(T=e.marker,E=T.size,Array.isArray(E))){var L={type:"linear"};i.setConvert(L),E=L.makeCalcdata(e.marker,"size"),E.length>A&&E.splice(A,E.length-A)}return s(e),void 0!==typeof E&&a.mergeArray(E,M,"ms"),M}},{"../../lib":381,"../../plots/cartesian/axes":403,"../scatter/marker_colorscale_calc":568,"../scatter/subtypes":573,"fast-isnumeric":76}],593:[function(t,e,r){"use strict";var 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n={};n.attributes=t("./attributes"),n.supplyDefaults=t("./defaults"),n.colorbar=t("../scatter/colorbar"),n.calc=t("./calc"),n.plot=t("./plot"),n.style=t("./style"),n.hoverPoints=t("./hover"),n.selectPoints=t("./select"),n.moduleType="trace",n.name="scatterternary",n.basePlotModule=t("../../plots/ternary"),n.categories=["ternary","symbols","markerColorscale","showLegend"],n.meta={},e.exports=n},{"../../plots/ternary":459,"../scatter/colorbar":557,"./attributes":591,"./calc":592,"./defaults":593,"./hover":594,"./plot":596,"./select":597,"./style":598}],596:[function(t,e,r){"use strict";var n=t("../scatter/plot");e.exports=function(t,e){for(var r={x:function(){return t.xaxis},y:function(){return t.yaxis},plot:t.plotContainer},i=new Array(e.length),a=t.graphDiv.calcdata,o=0;oe){for(var 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a(t,e,r){for(var n=0,i=Math.min(t.length,r),a=e;i>a;a++){var o=t.charCodeAt(a)-48;n<<=4,n|=o>=49&&54>=o?o-49+10:o>=17&&22>=o?o-17+10:15&o}return n}function o(t,e,r,n){for(var i=0,a=Math.min(t.length,r),o=e;a>o;o++){var s=t.charCodeAt(o)-48;i*=n,i+=s>=49?s-49+10:s>=17?s-17+10:s}return i}function s(t,e){this.name=t,this.p=new i(e,16),this.n=this.p.bitLength(),this.k=new i(1).ishln(this.n).isub(this.p),this.tmp=this._tmp()}function l(){s.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function c(){s.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function u(){s.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function f(){s.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function h(t){if("string"==typeof t){var e=i._prime(t);this.m=e.p,this.prime=e}else this.m=t,this.prime=null}function d(t){h.call(this,t),this.shift=this.m.bitLength(),this.shift%26!==0&&(this.shift+=26-this.shift%26),this.r=new i(1).ishln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv.sign=!0,this.minv=this.minv.mod(this.r)}"object"==typeof t?t.exports=i:e.BN=i,i.BN=i,i.wordSize=26,i.prototype._init=function(t,e,n){if("number"==typeof t)return this._initNumber(t,e,n);if("object"==typeof t)return this._initArray(t,e,n);"hex"===e&&(e=16),r(e===(0|e)&&e>=2&&36>=e),t=t.toString().replace(/\s+/g,"");var i=0;"-"===t[0]&&i++,16===e?this._parseHex(t,i):this._parseBase(t,e,i),"-"===t[0]&&(this.sign=!0),this.strip(),"le"===n&&this._initArray(this.toArray(),e,n)},i.prototype._initNumber=function(t,e,n){0>t&&(this.sign=!0,t=-t),67108864>t?(this.words=[67108863&t],this.length=1):4503599627370496>t?(this.words=[67108863&t,t/67108864&67108863],this.length=2):(r(9007199254740992>t),this.words=[67108863&t,t/67108864&67108863,1],this.length=3),"le"===n&&this._initArray(this.toArray(),e,n)},i.prototype._initArray=function(t,e,n){if(r("number"==typeof t.length),t.length<=0)return this.words=[0],this.length=1,this;this.length=Math.ceil(t.length/3),this.words=new Array(this.length);for(var i=0;i=0;i-=3){var s=t[i]|t[i-1]<<8|t[i-2]<<16;this.words[o]|=s<>>26-a&67108863,a+=24,a>=26&&(a-=26,o++)}else if("le"===n)for(var i=0,o=0;i>>26-a&67108863,a+=24,a>=26&&(a-=26,o++)}return this.strip()},i.prototype._parseHex=function(t,e){this.length=Math.ceil((t.length-e)/6),this.words=new Array(this.length);for(var r=0;r=e;r-=6){var o=a(t,r,r+6);this.words[i]|=o<>>26-n&4194303,n+=24,n>=26&&(n-=26,i++)}if(r+6!==e){var o=a(t,e,r+6);this.words[i]|=o<>>26-n&4194303}this.strip()},i.prototype._parseBase=function(t,e,r){this.words=[0],this.length=1;for(var n=0,i=1;67108863>=i;i*=e)n++;n--,i=i/e|0;for(var a=t.length-r,s=a%n,l=Math.min(a,a-s)+r,c=0,u=r;l>u;u+=n)c=o(t,u,u+n,e),this.imuln(i),this.words[0]+c<67108864?this.words[0]+=c:this._iaddn(c);if(0!==s){for(var f=1,c=o(t,u,t.length,e),u=0;s>u;u++)f*=e;this.imuln(f),this.words[0]+c<67108864?this.words[0]+=c:this._iaddn(c)}},i.prototype.copy=function(t){t.words=new Array(this.length);for(var e=0;e1&&0===this.words[this.length-1];)this.length--;return this._normSign()},i.prototype._normSign=function(){return 1===this.length&&0===this.words[0]&&(this.sign=!1),this},i.prototype.inspect=function(){return(this.red?""};var p=["","0","00","000","0000","00000","000000","0000000","00000000","000000000","0000000000","00000000000","000000000000","0000000000000","00000000000000","000000000000000","0000000000000000","00000000000000000","000000000000000000","0000000000000000000","00000000000000000000","000000000000000000000","0000000000000000000000","00000000000000000000000","000000000000000000000000","0000000000000000000000000"],g=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],v=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];i.prototype.toString=function(t,e){if(t=t||10,16===t||"hex"===t){for(var n="",i=0,e=0|e||1,a=0,o=0;o>>24-i&16777215,n=0!==a||o!==this.length-1?p[6-l.length]+l+n:l+n,i+=2,i>=26&&(i-=26,o--)}for(0!==a&&(n=a.toString(16)+n);n.length%e!==0;)n="0"+n;return this.sign&&(n="-"+n),n}if(t===(0|t)&&t>=2&&36>=t){var c=g[t],u=v[t],n="",f=this.clone();for(f.sign=!1;0!==f.cmpn(0);){var h=f.modn(u).toString(t);f=f.idivn(u),n=0!==f.cmpn(0)?p[c-h.length]+h+n:h+n}return 0===this.cmpn(0)&&(n="0"+n),this.sign&&(n="-"+n),n}r(!1,"Base should be between 2 and 36")},i.prototype.toJSON=function(){return this.toString(16)},i.prototype.toArray=function(t){this.strip();var e=new Array(this.byteLength());e[0]=0;var r=this.clone();if("le"!==t)for(var n=0;0!==r.cmpn(0);n++){var i=r.andln(255);r.ishrn(8),e[e.length-n-1]=i}else for(var n=0;0!==r.cmpn(0);n++){var i=r.andln(255);r.ishrn(8),e[n]=i}return e},Math.clz32?i.prototype._countBits=function(t){return 32-Math.clz32(t)}:i.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},i.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0===(8191&e)&&(r+=13,e>>>=13),0===(127&e)&&(r+=7,e>>>=7),0===(15&e)&&(r+=4,e>>>=4),0===(3&e)&&(r+=2,e>>>=2),0===(1&e)&&r++,r},i.prototype.bitLength=function(){var t=0,e=this.words[this.length-1],t=this._countBits(e);return 26*(this.length-1)+t},i.prototype.zeroBits=function(){if(0===this.cmpn(0))return 0;for(var t=0,e=0;et.length?this.clone().ior(t):t.clone().ior(this)},i.prototype.iand=function(t){this.sign=this.sign&&t.sign;var e;e=this.length>t.length?t:this;for(var r=0;rt.length?this.clone().iand(t):t.clone().iand(this)},i.prototype.ixor=function(t){this.sign=this.sign||t.sign;var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;nt.length?this.clone().ixor(t):t.clone().ixor(this)},i.prototype.setn=function(t,e){r("number"==typeof t&&t>=0);for(var n=t/26|0,i=t%26;this.length<=n;)this.words[this.length++]=0;return e?this.words[n]=this.words[n]|1<t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a>>26}for(;0!==i&&a>>26}if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;at.length?this.clone().iadd(t):t.clone().iadd(this)},i.prototype.isub=function(t){if(t.sign){t.sign=!1;var e=this.iadd(t);return t.sign=!0,e._normSign()}if(this.sign)return this.sign=!1,this.iadd(t),this.sign=!0,this._normSign();var r=this.cmp(t);if(0===r)return this.sign=!1,this.length=1,this.words[0]=0,this;var n,i;r>0?(n=this,i=t):(n=t,i=this);for(var a=0,o=0;o>26,this.words[o]=67108863&e}for(;0!==a&&o>26,this.words[o]=67108863&e}if(0===a&&o>>26,a=67108863&r,o=Math.min(n,t.length-1),s=Math.max(0,n-this.length+1);o>=s;s++){var l=n-s,c=0|this.words[l],u=0|t.words[s],f=c*u,h=67108863&f;i=i+(f/67108864|0)|0,h=h+a|0,a=67108863&h,i=i+(h>>>26)|0}e.words[n]=a,r=i}return 0!==r?e.words[n]=r:e.length--,e.strip()},i.prototype._bigMulTo=function(t,e){e.sign=t.sign!==this.sign,e.length=this.length+t.length;for(var r=0,n=0,i=0;i=l;l++){var c=i-l,u=0|this.words[c],f=0|t.words[l],h=u*f,d=67108863&h;a=a+(h/67108864|0)|0,d=d+o|0,o=67108863&d,a=a+(d>>>26)|0,n+=a>>>26,a&=67108863}e.words[i]=o,r=a,a=n}return 0!==r?e.words[i]=r:e.length--,e.strip()},i.prototype.mulTo=function(t,e){var r;return r=this.length+t.length<63?this._smallMulTo(t,e):this._bigMulTo(t,e)},i.prototype.mul=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},i.prototype.imul=function(t){if(0===this.cmpn(0)||0===t.cmpn(0))return this.words[0]=0,this.length=1,this;var e=this.length,r=t.length;this.sign=t.sign!==this.sign,this.length=this.length+t.length,this.words[this.length-1]=0;for(var n=this.length-2;n>=0;n--){for(var i=0,a=0,o=Math.min(n,r-1),s=Math.max(0,n-e+1);o>=s;s++){var l=n-s,c=this.words[l],u=t.words[s],f=c*u,h=67108863&f;i+=f/67108864|0,h+=a,a=67108863&h,i+=h>>>26}this.words[n]=a,this.words[n+1]+=i,i=0}for(var i=0,l=1;l>>26}return this.strip()},i.prototype.imuln=function(t){r("number"==typeof t);for(var e=0,n=0;n>=26,e+=i/67108864|0,e+=a>>>26,this.words[n]=67108863&a}return 0!==e&&(this.words[n]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.mul(this)},i.prototype.ishln=function(t){r("number"==typeof t&&t>=0);var e=t%26,n=(t-e)/26,i=67108863>>>26-e<<26-e;if(0!==e){for(var a=0,o=0;o>>26-e}a&&(this.words[o]=a,this.length++)}if(0!==n){for(var o=this.length-1;o>=0;o--)this.words[o+n]=this.words[o];for(var o=0;n>o;o++)this.words[o]=0;this.length+=n}return this.strip()},i.prototype.ishrn=function(t,e,n){r("number"==typeof t&&t>=0);var i;i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<c;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o){this.length-=o;for(var c=0;c=0&&(0!==u||c>=i);c--){var f=this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip(),this},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.testn=function(t){r("number"==typeof t&&t>=0);var e=t%26,n=(t-e)/26,i=1<=0);var e=t%26,n=(t-e)/26;if(r(!this.sign,"imaskn works only with positive numbers"),0!==e&&n++,this.length=Math.min(n,this.length),0!==e){var i=67108863^67108863>>>e<t?this.isubn(-t):this.sign?1===this.length&&this.words[0]=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(t){if(r("number"==typeof t),0>t)return this.iaddn(-t);if(this.sign)return this.sign=!1,this.iaddn(t),this.sign=!0,this;this.words[0]-=t;for(var e=0;e>26)-(c/67108864|0),this.words[i+n]=67108863&l}for(;i>26,this.words[i+n]=67108863&l}if(0===s)return this.strip();r(-1===s),s=0;for(var i=0;i>26,this.words[i]=67108863&l}return this.sign=!0,this.strip()},i.prototype._wordDiv=function(t,e){var r=this.length-t.length,n=this.clone(),a=t,o=a.words[a.length-1],s=this._countBits(o);r=26-s,0!==r&&(a=a.shln(r),n.ishln(r),o=a.words[a.length-1]);var l,c=n.length-a.length;if("mod"!==e){l=new i(null),l.length=c+1,l.words=new Array(l.length);for(var u=0;u=0;h--){var d=67108864*n.words[a.length+h]+n.words[a.length+h-1];for(d=Math.min(d/o|0,67108863),n._ishlnsubmul(a,d,h);n.sign;)d--,n.sign=!1,n._ishlnsubmul(a,1,h),0!==n.cmpn(0)&&(n.sign=!n.sign);l&&(l.words[h]=d)}return l&&l.strip(),n.strip(),"div"!==e&&0!==r&&n.ishrn(r),{div:l?l:null,mod:n}},i.prototype.divmod=function(t,e){if(r(0!==t.cmpn(0)),this.sign&&!t.sign){var n,a,o=this.neg().divmod(t,e);return"mod"!==e&&(n=o.div.neg()),"div"!==e&&(a=0===o.mod.cmpn(0)?o.mod:t.sub(o.mod)),{div:n,mod:a}}if(!this.sign&&t.sign){var n,o=this.divmod(t.neg(),e);return"mod"!==e&&(n=o.div.neg()),{div:n,mod:o.mod}}return this.sign&&t.sign?this.neg().divmod(t.neg(),e):t.length>this.length||this.cmp(t)<0?{div:new i(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e)},i.prototype.div=function(t){return this.divmod(t,"div").div},i.prototype.mod=function(t){return this.divmod(t,"mod").mod},i.prototype.divRound=function(t){var e=this.divmod(t);if(0===e.mod.cmpn(0))return e.div;var r=e.div.sign?e.mod.isub(t):e.mod,n=t.shrn(1),i=t.andln(1),a=r.cmp(n);return 0>a||1===i&&0===a?e.div:e.div.sign?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){r(67108863>=t);for(var e=(1<<26)%t,n=0,i=this.length-1;i>=0;i--)n=(e*n+this.words[i])%t;return n},i.prototype.idivn=function(t){r(67108863>=t);for(var e=0,n=this.length-1;n>=0;n--){var i=this.words[n]+67108864*e;this.words[n]=i/t|0,e=i%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.prototype.egcd=function(t){r(!t.sign),r(0!==t.cmpn(0));var e=this,n=t.clone();e=e.sign?e.mod(t):e.clone();for(var a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&n.isEven();)e.ishrn(1),n.ishrn(1),++c;for(var u=n.clone(),f=e.clone();0!==e.cmpn(0);){for(;e.isEven();)e.ishrn(1),a.isEven()&&o.isEven()?(a.ishrn(1),o.ishrn(1)):(a.iadd(u).ishrn(1),o.isub(f).ishrn(1));for(;n.isEven();)n.ishrn(1),s.isEven()&&l.isEven()?(s.ishrn(1),l.ishrn(1)):(s.iadd(u).ishrn(1),l.isub(f).ishrn(1));e.cmp(n)>=0?(e.isub(n),a.isub(s),o.isub(l)):(n.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:n.ishln(c)}},i.prototype._invmp=function(t){r(!t.sign),r(0!==t.cmpn(0));var e=this,n=t.clone();e=e.sign?e.mod(t):e.clone();for(var a=new i(1),o=new i(0),s=n.clone();e.cmpn(1)>0&&n.cmpn(1)>0;){for(;e.isEven();)e.ishrn(1),a.isEven()?a.ishrn(1):a.iadd(s).ishrn(1);for(;n.isEven();)n.ishrn(1),o.isEven()?o.ishrn(1):o.iadd(s).ishrn(1);e.cmp(n)>=0?(e.isub(n),a.isub(o)):(n.isub(e),o.isub(a))}return 0===e.cmpn(1)?a:o},i.prototype.gcd=function(t){if(0===this.cmpn(0))return t.clone();if(0===t.cmpn(0))return this.clone();var e=this.clone(),r=t.clone();e.sign=!1,r.sign=!1;for(var n=0;e.isEven()&&r.isEven();n++)e.ishrn(1),r.ishrn(1);for(;;){for(;e.isEven();)e.ishrn(1);for(;r.isEven();)r.ishrn(1);var i=e.cmp(r);if(0>i){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.ishln(n)},i.prototype.invm=function(t){return this.egcd(t).a.mod(t)},i.prototype.isEven=function(){return 0===(1&this.words[0])},i.prototype.isOdd=function(){return 1===(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){r("number"==typeof 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g=a("labels");a("labelFont")&&(g=!0),i("labelEnable"),n("labelSize"),n("labelPad"),o("labelColor"),i("lineEnable"),i("lineMirror"),n("lineWidth"),o("lineColor"),i("lineTickEnable"),i("lineTickMirror"),n("lineTickLength"),n("lineTickWidth"),o("lineTickColor"),i("gridEnable"),n("gridWidth"),o("gridColor"),i("zeroEnable"),o("zeroLineColor"),n("zeroLineWidth"),i("backgroundEnable"),o("backgroundColor"),this._text?this._text&&(g||s)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=l(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&s&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=c(this.gl,this.bounds,this.ticks))};var g=[new a,new a,new a],v=[0,0,0],m={model:d,view:d,projection:d};p.isOpaque=function(){return!0},p.isTransparent=function(){return!1},p.drawTransparent=function(t){};var y=[0,0,0],b=[0,0,0],x=[0,0,0];p.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||d,i=t.view||d,a=t.projection||d,s=this.bounds,l=f(r,i,a,s),c=l.cubeEdges,u=l.axis,h=i[12],p=i[13],_=i[14],w=i[15],k=this.pixelRatio*(a[3]*h+a[7]*p+a[11]*_+a[15]*w)/e.drawingBufferHeight,A=0;3>A;++A)this.lastCubeProps.cubeEdges[A]=c[A],this.lastCubeProps.axis[A]=u[A];for(var M=g,A=0;3>A;++A)o(g[A],A,this.bounds,c,u);for(var e=this.gl,T=v,A=0;3>A;++A)this.backgroundEnable[A]?T[A]=u[A]:T[A]=0;this._background.draw(r,i,a,s,T,this.backgroundColor),this._lines.bind(r,i,a,this);for(var A=0;3>A;++A){var E=[0,0,0];u[A]>0?E[A]=s[1][A]:E[A]=s[0][A];for(var L=0;2>L;++L){var S=(A+1+L)%3,C=(A+1+(1^L))%3;this.gridEnable[S]&&this._lines.drawGrid(S,C,this.bounds,E,this.gridColor[S],this.gridWidth[S]*this.pixelRatio)}for(var L=0;2>L;++L){var S=(A+1+L)%3,C=(A+1+(1^L))%3;this.zeroEnable[C]&&s[0][C]<=0&&s[1][C]>=0&&this._lines.drawZero(S,C,this.bounds,E,this.zeroLineColor[C],this.zeroLineWidth[C]*this.pixelRatio)}}for(var A=0;3>A;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);for(var z=n(y,M[A].primalMinor),P=n(b,M[A].mirrorMinor),R=this.lineTickLength,L=0;3>L;++L){var O=k/r[5*L];z[L]*=R[L]*O,P[L]*=R[L]*O}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,P,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._text.bind(r,i,a,this.pixelRatio);for(var A=0;3>A;++A){for(var I=M[A].primalMinor,N=n(x,M[A].primalOffset),L=0;3>L;++L)this.lineTickEnable[A]&&(N[L]+=k*I[L]*Math.max(this.lineTickLength[L],0)/r[5*L]);if(this.tickEnable[A]){for(var L=0;3>L;++L)N[L]+=k*I[L]*this.tickPad[L]/r[5*L];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],N,this.tickColor[A])}if(this.labelEnable[A]){for(var L=0;3>L;++L)N[L]+=k*I[L]*this.labelPad[L]/r[5*L];N[A]+=.5*(s[0][A]+s[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],N,this.labelColor[A])}}},p.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{"./lib/background.js":100,"./lib/cube.js":101,"./lib/lines.js":102,"./lib/text.js":104,"./lib/ticks.js":105}],100:[function(t,e,r){"use strict";function n(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}function i(t){for(var e=[],r=[],i=0,l=0;3>l;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],d=-1;1>=d;d+=2){r.push(i,i+2,i+1,i+1,i+2,i+3),f[l]=d,h[l]=d;for(var p=-1;1>=p;p+=2){f[c]=p;for(var g=-1;1>=g;g+=2)f[u]=g,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),i+=1}var v=c;c=u,u=v}var m=a(t,new 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b=0;2>b;++b){d[1]=a[b][1];for(var x=0;2>x;++x)d[0]=a[x][0],n(f[l],d,u),l+=1}}for(var _=-1,g=0;8>g;++g){for(var w=f[g][3],k=0;3>k;++k)h[g][k]=f[g][k]/w;0>w&&(0>_?_=g:h[g][2]_){_=0;for(var A=0;3>A;++A){for(var M=(A+2)%3,T=(A+1)%3,E=-1,L=-1,S=0;2>S;++S){var C=S<E||0>L)L>E&&(_|=1<S;++S){var C=S<E&&(_|=1<g;++g)g!==_&&g!==O&&(0>I?I=g:h[I][1]>h[g][1]&&(I=g));for(var N=-1,g=0;3>g;++g){var j=I^1<N&&(N=j);var T=h[j];T[0]g;++g){var j=I^1<F&&(F=j);var T=h[j];T[0]>h[F][0]&&(F=j)}}var B=v;B[0]=B[1]=B[2]=0,B[o.log2(N^I)]=I&N,B[o.log2(I^F)]=I&F;var D=7^F;D===_||D===O?(D=7^N,B[o.log2(F^D)]=D&F):B[o.log2(N^D)]=D&N;for(var U=m,V=_,A=0;3>A;++A)V&1<t;++t)f[t]=[1,1,1,1],h[t]=[1,1,1]}();var g=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]],v=[1,1,1],m=[0,0,0],y={cubeEdges:v,axis:m}},{"bit-twiddle":48,"gl-mat4/invert":128,"gl-mat4/multiply":130,"robust-orientation":253,"split-polygon":270}],102:[function(t,e,r){"use strict";function n(t){return t[0]=t[1]=t[2]=0,t}function 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o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r}function a(t,e){for(var r=0;3>r;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;na;++a){for(var o=p,s=g,l=0;3>l;++l)s[l]=o[l]=r[l];s[3]=o[3]=1,s[a]+=1,f(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,f(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,u=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+u*u)}return t}function a(t,e,r,n,a){var f=e.model||h,p=e.view||h,g=e.projection||h,y=t.bounds,a=a||l(f,p,g,y),b=a.axis;a.edges;c(d,p,f),c(d,g,d);for(var x=v,_=0;3>_;++_)x[_].lo=1/0,x[_].hi=-(1/0),x[_].pixelsPerDataUnit=1/0;var w=o(u(d,d));u(d,d);for(var k=0;3>k;++k){var A=(k+1)%3,M=(k+2)%3,T=m;t:for(var _=0;2>_;++_){var E=[];if(b[k]<0!=!!_){T[k]=y[_][k];for(var L=0;2>L;++L){T[A]=y[L^_][A];for(var S=0;2>S;++S)T[M]=y[S^L^_][M],E.push(T.slice())}for(var L=0;LS;++S)x[S].lo=Math.min(x[S].lo,M[S]),x[S].hi=Math.max(x[S].hi,M[S]),S!==k&&(x[S].pixelsPerDataUnit=Math.min(x[S].pixelsPerDataUnit,Math.abs(C[S])))}}}return x}e.exports=a;var o=t("extract-frustum-planes"),s=t("split-polygon"),l=t("./lib/cube.js"),c=t("gl-mat4/multiply"),u=t("gl-mat4/transpose"),f=t("gl-vec4/transformMat4"),h=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),d=new Float32Array(16),p=[0,0,0,1],g=[0,0,0,1],v=[new n(1/0,-(1/0),1/0),new n(1/0,-(1/0),1/0),new n(1/0,-(1/0),1/0)],m=[0,0,0]},{"./lib/cube.js":101,"extract-frustum-planes":94,"gl-mat4/multiply":130,"gl-mat4/transpose":138,"gl-vec4/transformMat4":188,"split-polygon":270}],107:[function(t,e,r){"use strict";function n(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}function i(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(0>a)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function a(t,e){for(var r=l.malloc(t.length,e),n=t.length,i=0;n>i;++i)r[i]=t[i];return r}function o(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}function s(t,e,r,i){if(r=r||t.ARRAY_BUFFER,i=i||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(i!==t.DYNAMIC_DRAW&&i!==t.STATIC_DRAW&&i!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var a=t.createBuffer(),o=new n(t,r,a,0,i);return o.update(e),o}var l=t("typedarray-pool"),c=t("ndarray-ops"),u=t("ndarray"),f=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"],h=n.prototype;h.bind=function(){this.gl.bindBuffer(this.type,this.handle)},h.unbind=function(){this.gl.bindBuffer(this.type,null)},h.dispose=function(){this.gl.deleteBuffer(this.handle)},h.update=function(t,e){if("number"!=typeof e&&(e=-1),this.bind(),"object"==typeof t&&"undefined"!=typeof t.shape){var r=t.dtype;if(f.indexOf(r)<0&&(r="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER){var n=gl.getExtension("OES_element_index_uint");r=n&&"uint16"!==r?"uint32":"uint16"}if(r===t.dtype&&o(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=i(this.gl,this.type,this.length,this.usage,t.data,e):this.length=i(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=l.malloc(t.size,r),h=u(s,t.shape);c.assign(h,t),0>e?this.length=i(this.gl,this.type,this.length,this.usage,s,e):this.length=i(this.gl,this.type,this.length,this.usage,s.subarray(0,t.size),e),l.free(s)}}else if(Array.isArray(t)){var d;d=this.type===this.gl.ELEMENT_ARRAY_BUFFER?a(t,"uint16"):a(t,"float32"),0>e?this.length=i(this.gl,this.type,this.length,this.usage,d,e):this.length=i(this.gl,this.type,this.length,this.usage,d.subarray(0,t.length),e),l.free(d)}else if("object"==typeof t&&"number"==typeof t.length)this.length=i(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");t=0|t,0>=t&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=s},{ndarray:225,"ndarray-ops":219,"typedarray-pool":282}],108:[function(t,e,r){e.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},{}],109:[function(t,e,r){var n=t("./1.0/numbers");e.exports=function(t){return n[t]}},{"./1.0/numbers":108}],110:[function(t,e,r){"use strict";function n(t,e,r){this.plot=t,this.shader=e,this.buffer=r,this.bounds=[1/0,1/0,-(1/0),-(1/0)],this.numPoints=0,this.color=[0,0,0,1]}function i(t,e){var r=a(t.gl,l.vertex,l.fragment),i=o(t.gl),s=new n(t,r,i);return s.update(e),t.addObject(s),s}var a=t("gl-shader"),o=t("gl-buffer"),s=t("typedarray-pool"),l=t("./lib/shaders");e.exports=i;var c=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]],u=n.prototype;u.draw=function(){var t=[1,0,0,0,1,0,0,0,1],e=[1,1];return function(){var r=this.plot,n=this.shader,i=this.buffer,a=this.bounds,o=this.numPoints;if(o){var s=r.gl,l=r.dataBox,u=r.viewBox,f=r.pixelRatio,h=a[2]-a[0],d=a[3]-a[1],p=l[2]-l[0],g=l[3]-l[1];t[0]=2*h/p,t[4]=2*d/g,t[6]=2*(a[0]-l[0])/p-1,t[7]=2*(a[1]-l[1])/g-1;var v=u[2]-u[0],m=u[3]-u[1];e[0]=2*f/v,e[1]=2*f/m,i.bind(),n.bind(),n.uniforms.viewTransform=t,n.uniforms.pixelScale=e,n.uniforms.color=this.color,n.attributes.position.pointer(s.FLOAT,!1,16,0),n.attributes.pixelOffset.pointer(s.FLOAT,!1,16,8),s.drawArrays(s.TRIANGLES,0,o*c.length)}}}(),u.drawPick=function(t){return t},u.pick=function(t,e){return null},u.update=function(t){t=t||{};var e,r,n,i=t.positions||[],a=t.errors||[],o=1;"lineWidth"in t&&(o=+t.lineWidth);var l=5;"capSize"in t&&(l=+t.capSize),this.color=(t.color||[0,0,0,1]).slice();var u=this.bounds=[1/0,1/0,-(1/0),-(1/0)],f=this.numPoints=i.length>>1;for(e=0;f>e;++e)r=i[2*e],n=i[2*e+1],u[0]=Math.min(r,u[0]),u[1]=Math.min(n,u[1]),u[2]=Math.max(r,u[2]),u[3]=Math.max(n,u[3]);u[2]===u[0]&&(u[2]+=1),u[3]===u[1]&&(u[3]+=1);var h=1/(u[2]-u[0]),d=1/(u[3]-u[1]),p=u[0],g=u[1],v=s.mallocFloat32(f*c.length*4),m=0;for(e=0;f>e;++e){r=i[2*e],n=i[2*e+1];for(var y=a[4*e],b=a[4*e+1],x=a[4*e+2],_=a[4*e+3],w=0;wA?A*=y:A>0&&(A*=b),0>M?M*=x:M>0&&(M*=_),v[m++]=h*(r-p+A),v[m++]=d*(n-g+M),v[m++]=o*k[2]+(l+o)*k[4],v[m++]=o*k[3]+(l+o)*k[5]}}this.buffer.update(v),s.free(v)},u.dispose=function(){this.plot.removeObject(this),this.shader.dispose(),this.buffer.dispose()}},{"./lib/shaders":111,"gl-buffer":107,"gl-shader":166,"typedarray-pool":282}],111:[function(t,e,r){e.exports={vertex:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec2 pixelOffset;\n\nuniform mat3 viewTransform;\nuniform vec2 pixelScale;\n\nvoid main() {\n vec3 scrPosition = viewTransform * vec3(position, 1);\n gl_Position = vec4(\n scrPosition.xy + scrPosition.z * pixelScale * pixelOffset,\n 0,\n scrPosition.z);\n}\n",fragment:"precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n gl_FragColor = vec4(color.rgb * color.a, color.a);\n}\n"}},{}],112:[function(t,e,r){"use strict";function n(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1}function i(t,e){for(var r=0;3>r;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}function a(t,e,r,n){for(var i=h[n],a=0;a=1},f.isTransparent=function(){return this.opacity<1},f.drawTransparent=f.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||u,i=r.projection=t.projection||u;r.model=t.model||u,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],o=n[13],s=n[14],l=n[15],c=this.pixelRatio*(i[3]*a+i[7]*o+i[11]*s+i[15]*l)/e.drawingBufferHeight;this.vao.bind();for(var f=0;3>f;++f)e.lineWidth(this.lineWidth[f]),r.capSize=this.capSize[f]*c,e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var h=function(){for(var t=new Array(3),e=0;3>e;++e){for(var r=[],n=1;2>=n;++n)for(var i=-1;1>=i;i+=2){var a=(n+e)%3,o=[0,0,0];o[a]=i,r.push(o)}t[e]=r}return t}();f.update=function(t){t=t||{},"lineWidth"in t&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),"opacity"in t&&(this.opacity=t.opacity);var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var o=[],s=r.length,l=0;this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.lineCount=[0,0,0];for(var c=0;3>c;++c){this.lineOffset[c]=l;t:for(var u=0;s>u;++u){for(var f=r[u],h=0;3>h;++h)if(isNaN(f[h])||!isFinite(f[h]))continue t;var d=n[u],p=e[c];if(Array.isArray(p[0])&&(p=e[u]),3===p.length&&(p=[p[0],p[1],p[2],1]),!isNaN(d[0][c])&&!isNaN(d[1][c])){if(d[0][c]<0){var g=f.slice();g[c]+=d[0][c],o.push(f[0],f[1],f[2],p[0],p[1],p[2],p[3],0,0,0,g[0],g[1],g[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,g),l+=2+a(o,g,p,c)}if(d[1][c]>0){var g=f.slice();g[c]+=d[1][c],o.push(f[0],f[1],f[2],p[0],p[1],p[2],p[3],0,0,0,g[0],g[1],g[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,g),l+=2+a(o,g,p,c)}}}this.lineCount[c]=l-this.lineOffset[c]}this.buffer.update(o)}},f.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{"./shaders/index":113,"gl-buffer":107,"gl-vao":182}],113:[function(t,e,r){"use strict";var n=t("gl-shader"),i="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n vec4 worldPosition = model * vec4(position, 1.0);\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n gl_Position = projection * view * worldPosition;\n fragColor = color;\n fragPosition = position;\n}",a="precision mediump float;\n#define GLSLIFY 1\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n if(any(lessThan(fragPosition, clipBounds[0])) || any(greaterThan(fragPosition, clipBounds[1]))) {\n discard;\n }\n gl_FragColor = opacity * fragColor;\n}";e.exports=function(t){return n(t,i,a,null,[{name:"position",type:"vec3"},{name:"offset",type:"vec3"},{name:"color",type:"vec4"}])}},{"gl-shader":166}],114:[function(t,e,r){"use strict";function n(t){var e=t.getParameter(t.FRAMEBUFFER_BINDING),r=t.getParameter(t.RENDERBUFFER_BINDING),n=t.getParameter(t.TEXTURE_BINDING_2D);return[e,r,n]}function i(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function a(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);y=new Array(r+1);for(var n=0;r>=n;++n){for(var i=new Array(r),a=0;n>a;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(var a=n;r>a;++a)i[a]=t.NONE;y[n]=i}}function o(t){switch(t){case p:throw new Error("gl-fbo: Framebuffer unsupported");case g:throw new Error("gl-fbo: Framebuffer incomplete attachment");case v:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case m:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function s(t,e,r,n,i,a){if(!n)return null;var o=d(t,e,r,i,n);return o.magFilter=t.NEAREST,o.minFilter=t.NEAREST,o.mipSamples=1,o.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,a,t.TEXTURE_2D,o.handle,0),o}function l(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function c(t){var e=n(t.gl),r=t.gl,a=t.handle=r.createFramebuffer(),c=t._shape[0],u=t._shape[1],f=t.color.length,h=t._ext,d=t._useStencil,p=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,a);for(var v=0;f>v;++v)t.color[v]=s(r,c,u,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===f?(t._color_rb=l(r,c,u,r.RGBA4,r.COLOR_ATTACHMENT0),h&&h.drawBuffersWEBGL(y[0])):f>1&&h.drawBuffersWEBGL(y[f]);var m=r.getExtension("WEBGL_depth_texture");m?d?t.depth=s(r,c,u,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p&&(t.depth=s(r,c,u,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):p&&d?t._depth_rb=l(r,c,u,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p?t._depth_rb=l(r,c,u,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=l(r,c,u,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var b=r.checkFramebufferStatus(r.FRAMEBUFFER);if(b!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(var v=0;vl;++l)this.color[l]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var u=this,f=[0|e,0|r];Object.defineProperties(f,{0:{get:function(){return u._shape[0]},set:function(t){return u.width=t}},1:{get:function(){return u._shape[1]},set:function(t){return u.height=t}}}),this._shapeVector=f,c(this)}function f(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var a=t.gl,s=a.getParameter(a.MAX_RENDERBUFFER_SIZE);if(0>e||e>s||0>r||r>s)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var l=n(a),c=0;ce||e>o||0>r||r>o)throw new Error("gl-fbo: Parameters are too large for FBO");n=n||{};var s=1;if("color"in n){if(s=Math.max(0|n.color,0),0>s)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(s>1){if(!i)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(s>t.getParameter(i.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+s+" draw buffers")}}var l=t.UNSIGNED_BYTE,c=t.getExtension("OES_texture_float");if(n.float&&s>0){if(!c)throw new Error("gl-fbo: Context does not support floating point textures");l=t.FLOAT}else n.preferFloat&&s>0&&c&&(l=t.FLOAT);var f=!0;"depth"in n&&(f=!!n.depth);var h=!1;return"stencil"in n&&(h=!!n.stencil),new u(t,e,r,l,s,f,h,i)}var d=t("gl-texture2d");e.exports=h;var p,g,v,m,y=null,b=u.prototype;Object.defineProperties(b,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return f(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return t=0|t,f(this,t,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t=0|t,f(this,this._shape[0],t),t},enumerable:!1}}),b.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},b.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e2&&!this.usingDashes){var C=this.mitreShader;C.bind();var z=C.uniforms;z.matrix=t,z.color=s,z.screenShape=e,z.radius=l*p,C.attributes.p.pointer(f.FLOAT,!1,48,0),f.drawArrays(f.POINTS,0,u/3|0)}}}}(),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0],r=[0,0,0,0];return function(n){var i=this.plot,a=this.pickShader,o=this.lineBuffer,s=this.pickBuffer,l=this.width,c=this.numPoints,u=this.bounds,f=this.vertCount,h=i.gl,d=i.viewBox,p=i.dataBox,g=i.pickPixelRatio,v=u[2]-u[0],m=u[3]-u[1],y=p[2]-p[0],b=p[3]-p[1],x=d[2]-d[0],_=d[3]-d[1];if(this.pickOffset=n,!f)return n+c;t[0]=2*v/y,t[4]=2*m/b,t[6]=2*(u[0]-p[0])/y-1,t[7]=2*(u[1]-p[1])/b-1,e[0]=x,e[1]=_,r[0]=255&n,r[1]=n>>>8&255,r[2]=n>>>16&255,r[3]=n>>>24,a.bind();var w=a.uniforms;w.matrix=t,w.width=l*g,w.pickOffset=r,w.screenShape=e;var k=a.attributes;return o.bind(),k.a.pointer(h.FLOAT,!1,16,0),k.d.pointer(h.FLOAT,!1,16,8),s.bind(),k.pick0.pointer(h.UNSIGNED_BYTE,!1,8,0),k.pick1.pointer(h.UNSIGNED_BYTE,!1,8,4),h.drawArrays(h.TRIANGLES,0,f),n+c}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(n>r||r>=n+i)return null;var a=r-n,o=this.data;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},h.update=function(t){t=t||{};var e=this.plot.gl;!!t.connectGaps;this.color=(t.color||[0,0,1,1]).slice(),this.width=+(t.width||1),this.fill=(t.fill||[!1,!1,!1,!1]).slice(),this.fillColor=i(t.fillColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);for(var r=t.dashes||[1],n=0,a=0;a1,this.dashPattern=l(e,c(o,[n,1,4],[1,0,0])),this.dashPattern.minFilter=e.NEAREST,this.dashPattern.magFilter=e.NEAREST,this.dashLength=n,u.free(o);var d=t.positions;this.data=d;var p=this.bounds;p[0]=p[1]=1/0,p[2]=p[3]=-(1/0);var g=this.numPoints=d.length>>>1;if(0!==g){for(var a=0;g>a;++a){var v=d[2*a],m=d[2*a+1];isNaN(v)||isNaN(m)||(p[0]=Math.min(p[0],v),p[1]=Math.min(p[1],m),p[2]=Math.max(p[2],v),p[3]=Math.max(p[3],m))}p[0]===p[2]&&(p[2]+=1),p[3]===p[1]&&(p[3]+=1);for(var y=u.mallocFloat32(24*(g-1)),b=u.mallocUint32(12*(g-1)),x=y.length,_=b.length,s=g,w=0;s>1;){var k=--s,v=d[2*s],m=d[2*s+1],A=k-1,M=d[2*A],T=d[2*A+1];if(!(isNaN(v)||isNaN(m)||isNaN(M)||isNaN(T))){w+=1,v=(v-p[0])/(p[2]-p[0]),m=(m-p[1])/(p[3]-p[1]),M=(M-p[0])/(p[2]-p[0]),T=(T-p[1])/(p[3]-p[1]);var E=M-v,L=T-m,S=k|1<<24,C=k-1,z=k,P=k-1|1<<24;y[--x]=-L,y[--x]=-E,y[--x]=m,y[--x]=v,b[--_]=S,b[--_]=C,y[--x]=L,y[--x]=E,y[--x]=T,y[--x]=M,b[--_]=z,b[--_]=P,y[--x]=-L,y[--x]=-E,y[--x]=T,y[--x]=M,b[--_]=z,b[--_]=P,y[--x]=L,y[--x]=E,y[--x]=T,y[--x]=M,b[--_]=z,b[--_]=P,y[--x]=-L,y[--x]=-E,y[--x]=m,y[--x]=v,b[--_]=S,b[--_]=C,y[--x]=L,y[--x]=E,y[--x]=m,y[--x]=v,b[--_]=S,b[--_]=C}}this.vertCount=6*w,this.lineBuffer.update(y.subarray(x)),this.pickBuffer.update(b.subarray(_)),u.free(y),u.free(b)}},h.dispose=function(){this.plot.removeObject(this),this.lineBuffer.dispose(),this.pickBuffer.dispose(),this.lineShader.dispose(),this.mitreShader.dispose(),this.fillShader.dispose(),this.pickShader.dispose(),this.dashPattern.dispose()}},{"./lib/shaders":116,"gl-buffer":107,"gl-shader":166,"gl-texture2d":178,ndarray:225,"typedarray-pool":282}],118:[function(t,e,r){var n=t("gl-shader"),i="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvoid main() {\n vec4 projected = projection * view * model * vec4(position, 1.0);\n vec4 tangentClip = projection * view * model * vec4(nextPosition - position, 0.0);\n vec2 tangent = normalize(screenShape * tangentClip.xy);\n vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(tangent.y, -tangent.x) / screenShape;\n\n gl_Position = vec4(projected.xy + projected.w * offset, projected.zw);\n\n worldPosition = position;\n pixelArcLength = arcLength;\n fragColor = color;\n}\n",a="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float dashScale;\nuniform float opacity;\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\n discard;\n }\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n if(dashWeight < 0.5) {\n discard;\n }\n gl_FragColor = fragColor * opacity;\n}\n",o="precision mediump float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX 1.70141184e38\n#define FLOAT_MIN 1.17549435e-38\n\nlowp vec4 encode_float_1_0(highp float v) {\n highp float av = abs(v);\n\n //Handle special cases\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n }\n\n highp vec4 c = vec4(0,0,0,0);\n\n //Compute exponent and mantissa\n highp float e = floor(log2(av));\n highp float m = av * pow(2.0, -e) - 1.0;\n \n //Unpack mantissa\n c[1] = floor(128.0 * m);\n m -= c[1] / 128.0;\n c[2] = floor(32768.0 * m);\n m -= c[2] / 32768.0;\n c[3] = floor(8388608.0 * m);\n \n //Unpack exponent\n highp float ebias = e + 127.0;\n c[0] = floor(ebias / 2.0);\n ebias -= c[0] * 2.0;\n c[1] += floor(ebias) * 128.0; \n\n //Unpack sign bit\n c[0] += 128.0 * step(0.0, -v);\n\n //Scale back to range\n return c / 255.0;\n}\n\n\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\n discard;\n }\n gl_FragColor = vec4(pickId/255.0, encode_float_1_0(pixelArcLength).xyz);\n}",s=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];r.createShader=function(t){return n(t,i,a,null,s)},r.createPickShader=function(t){return n(t,i,o,null,s)}},{"gl-shader":166}],119:[function(t,e,r){"use strict";function n(t,e){for(var r=0,n=0;3>n;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function i(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;3>r;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function a(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function o(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.dirty=!0,this.pixelRatio=1}function s(t){var e=t.gl||t.scene&&t.scene.gl,r=g(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var n=v(e);n.attributes.position.location=0,n.attributes.nextPosition.location=1,n.attributes.arcLength.location=2,n.attributes.lineWidth.location=3,n.attributes.color.location=4;for(var i=l(e),a=c(e,[{buffer:i,size:3,offset:0,stride:48},{buffer:i,size:3,offset:12,stride:48},{buffer:i,size:1,offset:24,stride:48},{buffer:i,size:1,offset:28,stride:48},{buffer:i,size:4,offset:32,stride:48}]),s=d(new Array(1024),[256,1,4]),f=0;1024>f;++f)s.data[f]=255;var h=u(e,s);h.wrap=e.REPEAT;var p=new o(e,r,n,i,a,h);return p.update(t),p}e.exports=s;var l=t("gl-buffer"),c=t("gl-vao"),u=t("gl-texture2d"),f=t("glsl-read-float"),h=t("binary-search-bounds"),d=t("ndarray"),p=t("./lib/shaders"),g=p.createShader,v=p.createPickShader,m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],y=o.prototype;y.isTransparent=function(){return this.opacity<1},y.isOpaque=function(){return this.opacity>=1},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||m,view:t.view||m,projection:t.projection||m,clipBounds:i(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.drawPick=function(t){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||m,view:t.view||m,projection:t.projection||m,pickId:this.pickId,clipBounds:i(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.update=function(t){var e,r;this.dirty=!0;var i=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),"opacity"in t&&(this.opacity=+t.opacity);var a=t.position||t.positions;if(a){var o=t.color||t.colors||[0,0,0,1],s=t.lineWidth||1,l=[],c=[],u=[],f=0,p=0,g=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],v=!1;t:for(e=1;er;++r){if(isNaN(m[r])||isNaN(y[r])||!isFinite(m[r])||!isFinite(y[r])){if(!i&&l.length>0){for(var b=0;24>b;++b)l.push(l[l.length-12]);p+=2,v=!0}continue t}g[0][r]=Math.min(g[0][r],m[r],y[r]),g[1][r]=Math.max(g[1][r],m[r],y[r])}var x,_;Array.isArray(o[0])?(x=o[e-1],_=o[e]):x=_=o,3===x.length&&(x=[x[0],x[1],x[2],1]),3===_.length&&(_=[_[0],_[1],_[2],1]);var w;w=Array.isArray(s)?s[e-1]:s;var k=f;if(f+=n(m,y),v){for(r=0;2>r;++r)l.push(m[0],m[1],m[2],y[0],y[1],y[2],k,w,x[0],x[1],x[2],x[3]);p+=2,v=!1}l.push(m[0],m[1],m[2],y[0],y[1],y[2],k,w,x[0],x[1],x[2],x[3],m[0],m[1],m[2],y[0],y[1],y[2],k,-w,x[0],x[1],x[2],x[3],y[0],y[1],y[2],m[0],m[1],m[2],f,-w,_[0],_[1],_[2],_[3],y[0],y[1],y[2],m[0],m[1],m[2],f,w,_[0],_[1],_[2],_[3]),p+=4}if(this.buffer.update(l),c.push(f),u.push(a[a.length-1].slice()),this.bounds=g,this.vertexCount=p,this.points=u,this.arcLength=c,"dashes"in t){var A=t.dashes,M=A.slice();for(M.unshift(0),e=1;ee;++e){for(r=0;4>r;++r)T.set(e,0,r,0);1&h.le(M,M[M.length-1]*e/255)?T.set(e,0,0,0):T.set(e,0,0,255)}this.texture.setPixels(T)}}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=f(t.value[0],t.value[1],t.value[2],0),r=h.le(this.arcLength,e);if(0>r)return null;if(r===this.arcLength.length-1)return new a(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],o=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),s=1-o,l=[0,0,0],c=0;3>c;++c)l[c]=s*n[c]+o*i[c];var u=Math.min(.5>o?r:r+1,this.points.length-1);return new a(e,l,u,this.points[u])}},{"./lib/shaders":118,"binary-search-bounds":47,"gl-buffer":107,"gl-texture2d":178,"gl-vao":182,"glsl-read-float":189,ndarray:225}],120:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r*a-i*n;return o?(o=1/o,t[0]=a*o,t[1]=-n*o,t[2]=-i*o,t[3]=r*o,t):null}e.exports=n},{}],121:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=u*o-s*c,h=-u*a+s*l,d=c*a-o*l,p=r*f+n*h+i*d;return p?(p=1/p,t[0]=f*p,t[1]=(-u*n+i*c)*p,t[2]=(s*n-i*o)*p,t[3]=h*p,t[4]=(u*r-i*l)*p,t[5]=(-s*r+i*a)*p,t[6]=d*p,t[7]=(-c*r+n*l)*p,t[8]=(o*r-n*a)*p,t):null}e.exports=n},{}],122:[function(t,e,r){function n(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}e.exports=n},{}],123:[function(t,e,r){function n(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],124:[function(t,e,r){function n(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],f=t[10],h=t[11],d=t[12],p=t[13],g=t[14],v=t[15],m=e*o-r*a,y=e*s-n*a,b=e*l-i*a,x=r*s-n*o,_=r*l-i*o,w=n*l-i*s,k=c*p-u*d,A=c*g-f*d,M=c*v-h*d,T=u*g-f*p,E=u*v-h*p,L=f*v-h*g;return m*L-y*E+b*T+x*M-_*A+w*k}e.exports=n},{}],125:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,f=n*s,h=i*o,d=i*s,p=i*l,g=a*o,v=a*s,m=a*l;return t[0]=1-f-p,t[1]=u+m,t[2]=h-v,t[3]=0,t[4]=u-m,t[5]=1-c-p,t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-c-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],126:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,f=n*l,h=n*c,d=i*l,p=i*c,g=a*c,v=o*s,m=o*l,y=o*c;return t[0]=1-(d+g),t[1]=f+y,t[2]=h-m,t[3]=0,t[4]=f-y,t[5]=1-(u+g),t[6]=p+v,t[7]=0,t[8]=h+m,t[9]=p-v,t[10]=1-(u+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}e.exports=n},{}],127:[function(t,e,r){function n(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],128:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],d=e[11],p=e[12],g=e[13],v=e[14],m=e[15],y=r*s-n*o,b=r*l-i*o,x=r*c-a*o,_=n*l-i*s,w=n*c-a*s,k=i*c-a*l,A=u*g-f*p,M=u*v-h*p,T=u*m-d*p,E=f*v-h*g,L=f*m-d*g,S=h*m-d*v,C=y*S-b*L+x*E+_*T-w*M+k*A;return C?(C=1/C,t[0]=(s*S-l*L+c*E)*C,t[1]=(i*L-n*S-a*E)*C,t[2]=(g*k-v*w+m*_)*C,t[3]=(h*w-f*k-d*_)*C,t[4]=(l*T-o*S-c*M)*C,t[5]=(r*S-i*T+a*M)*C,t[6]=(v*x-p*k-m*b)*C,t[7]=(u*k-h*x+d*b)*C,t[8]=(o*L-s*T+c*A)*C,t[9]=(n*T-r*L-a*A)*C,t[10]=(p*w-g*x+m*y)*C,t[11]=(f*x-u*w-d*y)*C,t[12]=(s*M-o*E-l*A)*C,t[13]=(r*E-n*M+i*A)*C,t[14]=(g*b-p*_-v*y)*C,t[15]=(u*_-f*b+h*y)*C,t):null}e.exports=n},{}],129:[function(t,e,r){function n(t,e,r,n){var a,o,s,l,c,u,f,h,d,p,g=e[0],v=e[1],m=e[2],y=n[0],b=n[1],x=n[2],_=r[0],w=r[1],k=r[2];return Math.abs(g-_)<1e-6&&Math.abs(v-w)<1e-6&&Math.abs(m-k)<1e-6?i(t):(f=g-_,h=v-w,d=m-k,p=1/Math.sqrt(f*f+h*h+d*d),f*=p,h*=p,d*=p,a=b*d-x*h,o=x*f-y*d,s=y*h-b*f,p=Math.sqrt(a*a+o*o+s*s),p?(p=1/p,a*=p,o*=p,s*=p):(a=0,o=0,s=0),l=h*s-d*o,c=d*a-f*s,u=f*o-h*a,p=Math.sqrt(l*l+c*c+u*u),p?(p=1/p,l*=p,c*=p,u*=p):(l=0,c=0,u=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=d,t[11]=0,t[12]=-(a*g+o*v+s*m),t[13]=-(l*g+c*v+u*m),t[14]=-(f*g+h*v+d*m),t[15]=1,t)}var i=t("./identity");e.exports=n},{"./identity":127}],130:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],d=e[10],p=e[11],g=e[12],v=e[13],m=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*f+w*g,t[1]=b*i+x*l+_*h+w*v,t[2]=b*a+x*c+_*d+w*m,t[3]=b*o+x*u+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*f+w*g,t[5]=b*i+x*l+_*h+w*v,t[6]=b*a+x*c+_*d+w*m,t[7]=b*o+x*u+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*f+w*g,t[9]=b*i+x*l+_*h+w*v,t[10]=b*a+x*c+_*d+w*m,t[11]=b*o+x*u+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*f+w*g,t[13]=b*i+x*l+_*h+w*v,t[14]=b*a+x*c+_*d+w*m,t[15]=b*o+x*u+_*p+w*y,t}e.exports=n},{}],131:[function(t,e,r){function n(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}e.exports=n},{}],132:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,c,u,f,h,d,p,g,v,m,y,b,x,_,w,k,A,M,T,E,L=n[0],S=n[1],C=n[2],z=Math.sqrt(L*L+S*S+C*C);return Math.abs(z)<1e-6?null:(z=1/z,L*=z,S*=z,C*=z,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],d=e[6],p=e[7],g=e[8],v=e[9],m=e[10],y=e[11],b=L*L*o+a,x=S*L*o+C*i,_=C*L*o-S*i,w=L*S*o-C*i,k=S*S*o+a,A=C*S*o+L*i,M=L*C*o+S*i,T=S*C*o-L*i,E=C*C*o+a,t[0]=s*b+f*x+g*_,t[1]=l*b+h*x+v*_,t[2]=c*b+d*x+m*_,t[3]=u*b+p*x+y*_,t[4]=s*w+f*k+g*A,t[5]=l*w+h*k+v*A,t[6]=c*w+d*k+m*A,t[7]=u*w+p*k+y*A,t[8]=s*M+f*T+g*E,t[9]=l*M+h*T+v*E,t[10]=c*M+d*T+m*E,t[11]=u*M+p*T+y*E,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}e.exports=n},{}],133:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}e.exports=n},{}],134:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}e.exports=n},{}],135:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}e.exports=n},{}],136:[function(t,e,r){function n(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}e.exports=n},{}],137:[function(t,e,r){function n(t,e,r){var n,i,a,o,s,l,c,u,f,h,d,p,g=r[0],v=r[1],m=r[2];return e===t?(t[12]=e[0]*g+e[4]*v+e[8]*m+e[12],t[13]=e[1]*g+e[5]*v+e[9]*m+e[13],t[14]=e[2]*g+e[6]*v+e[10]*m+e[14],t[15]=e[3]*g+e[7]*v+e[11]*m+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=d,t[11]=p,t[12]=n*g+s*v+f*m+e[12],t[13]=i*g+l*v+h*m+e[13],t[14]=a*g+c*v+d*m+e[14],t[15]=o*g+u*v+p*m+e[15]),t}e.exports=n},{}],138:[function(t,e,r){function n(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}e.exports=n},{}],139:[function(t,e,r){"use strict";function n(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:i(t,e);break;case 9:a(t,e);break;case 16:o(t,e);break;default:throw new Error("currently supports matrices up to 4x4")}return t}e.exports=n;var i=t("gl-mat2/invert"),a=t("gl-mat3/invert"),o=t("gl-mat4/invert")},{"gl-mat2/invert":120,"gl-mat3/invert":121,"gl-mat4/invert":128}],140:[function(t,e,r){"use strict";function n(t,e){for(var r=[0,0,0,0],n=0;4>n;++n)for(var i=0;4>i;++i)r[i]+=t[4*n+i]*e[n];return r}function i(t,e,r,i,a){for(var o=n(i,n(r,n(e,[t[0],t[1],t[2],1]))),s=0;3>s;++s)o[s]/=o[3];return[.5*a[0]*(1+o[0]),.5*a[1]*(1-o[1])]}function a(t,e){if(2===t.length){for(var r=0,n=0,i=0;2>i;++i)r+=Math.pow(e[i]-t[0][i],2),n+=Math.pow(e[i]-t[1][i],2);return r=Math.sqrt(r),n=Math.sqrt(n),1e-6>r+n?[1,0]:[n/(r+n),r/(n+r)]}if(3===t.length){var a=[0,0];return c(t[0],t[1],t[2],e,a),l(t,a)}return[]}function o(t,e){for(var r=[0,0,0],n=0;no;++o)r[o]+=a*i[o];return r}function s(t,e,r,n,s,l){if(1===t.length)return[0,t[0].slice()];for(var c=new Array(t.length),u=0;up;++p)d+=Math.pow(c[u][p]-e[p],2);h>d&&(h=d,f=u)}for(var g=a(c,e),v=0,u=0;3>u;++u){if(g[u]<-.001||g[u]>1.0001)return null;v+=g[u]}return Math.abs(v-1)>.001?null:[f,o(t,g),g]}var l=t("barycentric"),c=t("polytope-closest-point/lib/closest_point_2d.js");e.exports=s},{barycentric:29,"polytope-closest-point/lib/closest_point_2d.js":238}],141:[function(t,e,r){var n="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n , view\n , projection;\nuniform vec3 eyePosition\n , lightPosition;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n vec4 m_position = model * vec4(position, 1.0);\n vec4 t_position = view * m_position;\n gl_Position = projection * t_position;\n f_color = color;\n f_normal = normal;\n f_data = position;\n f_eyeDirection = eyePosition - position;\n f_lightDirection = lightPosition - position;\n f_uv = uv;\n}",i="precision mediump float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution_2_0(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\n\n\nfloat cookTorranceSpecular_1_1(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution_2_0(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n , fresnel\n , kambient\n , kdiffuse\n , kspecular\n , opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if(any(lessThan(f_data, clipBounds[0])) || \n any(greaterThan(f_data, clipBounds[1]))) {\n discard;\n }\n\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n \n if(!gl_FrontFacing) {\n N = -N;\n }\n\n float specular = cookTorranceSpecular_1_1(L, V, N, roughness, fresnel);\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}",a="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_color = color;\n f_data = position;\n f_uv = uv;\n}",o="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n if(any(lessThan(f_data, clipBounds[0])) || \n any(greaterThan(f_data, clipBounds[1]))) {\n discard;\n }\n\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}",s="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || \n any(greaterThan(position, clipBounds[1]))) {\n gl_Position = vec4(0,0,0,0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n }\n gl_PointSize = pointSize;\n f_color = color;\n f_uv = uv;\n}",l="precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n vec2 pointR = gl_PointCoord.xy - vec2(0.5,0.5);\n if(dot(pointR, pointR) > 0.25) {\n discard;\n }\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}",c="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_id = id;\n f_position = position;\n}",u="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if(any(lessThan(f_position, clipBounds[0])) || \n any(greaterThan(f_position, clipBounds[1]))) {\n discard;\n }\n gl_FragColor = vec4(pickId, f_id.xyz);\n}",f="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute float pointSize;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || \n any(greaterThan(position, clipBounds[1]))) {\n gl_Position = vec4(0,0,0,0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n gl_PointSize = pointSize;\n }\n f_id = id;\n f_position = position;\n}",h="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n}",d="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n gl_FragColor = vec4(contourColor,1);\n}\n"; +r.meshShader={vertex:n,fragment:i,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.wireShader={vertex:a,fragment:o,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.pointShader={vertex:s,fragment:l,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},r.pickShader={vertex:c,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},r.pointPickShader={vertex:f,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},r.contourShader={vertex:h,fragment:d,attributes:[{name:"position",type:"vec3"}]}},{}],142:[function(t,e,r){"use strict";function n(t,e,r,n,i,a,o,s,l,c,u,f,h,d,p,g,v,m,y,b,x,_,w,k,A,M,T){this.gl=t,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=d,this.triangleCount=0,this.lineWidth=1,this.edgePositions=p,this.edgeColors=v,this.edgeUVs=m,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=b,this.pointColors=_,this.pointUVs=w,this.pointSizes=k,this.pointIds=x,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=T,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this._model=I,this._view=I,this._projection=I,this._resolution=[1,1]}function i(t){for(var e=A({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;256>n;++n){for(var i=e[n],a=0;3>a;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return k(r,[256,256,4],[4,0,1])}function a(t,e,r){for(var n=new Array(e),i=0;e>i;++i)n[i]=0;for(var a=t.length,i=0;a>i;++i)for(var o=t[i],s=0;sn;++n)r[n]=t[n][2];return r}function s(t){var e=v(t,S);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function l(t){var e=v(t,C);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function c(t){var e=v(t,z);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function u(t){var e=v(t,P);return e.attributes.position.location=0,e.attributes.id.location=1,e}function f(t){var e=v(t,R);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function h(t){var e=v(t,O);return e.attributes.position.location=0,e}function d(t){var e=t.gl,r=s(e),i=l(e),a=c(e),o=u(e),d=f(e),p=h(e),g=b(e,k(new Uint8Array([255,255,255,255]),[1,1,4]));g.generateMipmap(),g.minFilter=e.LINEAR_MIPMAP_LINEAR,g.magFilter=e.LINEAR;var v=m(e),x=m(e),_=m(e),w=m(e),A=m(e),M=y(e,[{buffer:v,type:e.FLOAT,size:3},{buffer:A,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:x,type:e.FLOAT,size:4},{buffer:_,type:e.FLOAT,size:2},{buffer:w,type:e.FLOAT,size:3}]),T=m(e),E=m(e),L=m(e),S=m(e),C=y(e,[{buffer:T,type:e.FLOAT,size:3},{buffer:S,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:E,type:e.FLOAT,size:4},{buffer:L,type:e.FLOAT,size:2}]),z=m(e),P=m(e),R=m(e),O=m(e),I=m(e),N=y(e,[{buffer:z,type:e.FLOAT,size:3},{buffer:I,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:P,type:e.FLOAT,size:4},{buffer:R,type:e.FLOAT,size:2},{buffer:O,type:e.FLOAT,size:1}]),j=m(e),F=y(e,[{buffer:j,type:e.FLOAT,size:3}]),B=new n(e,g,r,i,a,o,d,p,v,A,x,_,w,M,T,S,E,L,C,z,I,P,R,O,N,j,F);return B.update(t),B}var p=1e-6,g=1e-6,v=t("gl-shader"),m=t("gl-buffer"),y=t("gl-vao"),b=t("gl-texture2d"),x=t("normals"),_=t("gl-mat4/multiply"),w=t("gl-mat4/invert"),k=t("ndarray"),A=t("colormap"),M=t("simplicial-complex-contour"),T=t("typedarray-pool"),E=t("./lib/shaders"),L=t("./lib/closest-point"),S=E.meshShader,C=E.wireShader,z=E.pointShader,P=E.pickShader,R=E.pointPickShader,O=E.contourShader,I=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],N=n.prototype;N.isOpaque=function(){return this.opacity>=1},N.isTransparent=function(){return this.opacity<1},N.pickSlots=1,N.setPickBase=function(t){this.pickId=t},N.highlight=function(t){if(!t||!this.contourEnable)return void(this.contourCount=0);for(var e=M(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=T.mallocFloat32(6*a),s=0,l=0;a>l;++l)for(var c=r[l],u=0;2>u;++u){var f=c[0];2===c.length&&(f=c[u]);for(var h=n[f][0],d=n[f][1],p=i[f],g=1-p,v=this.positions[h],m=this.positions[d],y=0;3>y;++y)o[s++]=p*v[y]+g*m[y]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),T.free(o)},N.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=b(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(i(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var s=[],l=[],c=[],u=[],f=[],h=[],d=[],v=[],m=[],y=[],_=[],w=[],k=[],A=[];this.cells=r,this.positions=n;var M=t.vertexNormals,T=t.cellNormals,E=void 0===t.vertexNormalsEpsilon?p:t.vertexNormalsEpsilon,L=void 0===t.faceNormalsEpsilon?g:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=x.faceNormals(r,n,L)),T||M||(M=x.vertexNormals(r,n,E));var S=t.vertexColors,C=t.cellColors,z=t.meshColor||[1,1,1,1],P=t.vertexUVs,R=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,N=1/0,j=-(1/0);if(!P&&!O)if(R)for(var F=0;Fq;++q)!isNaN(V[q])&&isFinite(V[q])&&(this.bounds[0][q]=Math.min(this.bounds[0][q],V[q]),this.bounds[1][q]=Math.max(this.bounds[1][q],V[q]));var H=0,G=0,Y=0;t:for(var F=0;Fq;++q)if(isNaN(V[q])||!isFinite(V[q]))continue t;y.push(V[0],V[1],V[2]);var Z;Z=S?S[W]:C?C[F]:z,3===Z.length?_.push(Z[0],Z[1],Z[2],1):_.push(Z[0],Z[1],Z[2],Z[3]);var K;K=P?P[W]:R?[(R[W]-N)/(j-N),0]:O?O[F]:I?[(I[F]-N)/(j-N),0]:[(V[2]-N)/(j-N),0],w.push(K[0],K[1]),D?k.push(D[W]):k.push(U),A.push(F),Y+=1;break;case 2:for(var q=0;2>q;++q)for(var W=X[q],V=n[W],Q=0;3>Q;++Q)if(isNaN(V[Q])||!isFinite(V[Q]))continue t;for(var q=0;2>q;++q){var W=X[q],V=n[W];h.push(V[0],V[1],V[2]);var Z;Z=S?S[W]:C?C[F]:z,3===Z.length?d.push(Z[0],Z[1],Z[2],1):d.push(Z[0],Z[1],Z[2],Z[3]);var K;K=P?P[W]:R?[(R[W]-N)/(j-N),0]:O?O[F]:I?[(I[F]-N)/(j-N),0]:[(V[2]-N)/(j-N),0],v.push(K[0],K[1]),m.push(F)}G+=1;break;case 3:for(var q=0;3>q;++q)for(var W=X[q],V=n[W],Q=0;3>Q;++Q)if(isNaN(V[Q])||!isFinite(V[Q]))continue t;for(var q=0;3>q;++q){var W=X[q],V=n[W];s.push(V[0],V[1],V[2]);var Z;Z=S?S[W]:C?C[F]:z,3===Z.length?l.push(Z[0],Z[1],Z[2],1):l.push(Z[0],Z[1],Z[2],Z[3]);var K;K=P?P[W]:R?[(R[W]-N)/(j-N),0]:O?O[F]:I?[(I[F]-N)/(j-N),0]:[(V[2]-N)/(j-N),0],u.push(K[0],K[1]);var $;$=M?M[W]:T[F],c.push($[0],$[1],$[2]),f.push(F)}H+=1}}this.pointCount=Y,this.edgeCount=G,this.triangleCount=H,this.pointPositions.update(y),this.pointColors.update(_),this.pointUVs.update(w),this.pointSizes.update(k),this.pointIds.update(new Uint32Array(A)),this.edgePositions.update(h),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(s),this.triangleColors.update(l),this.triangleUVs.update(u),this.triangleNormals.update(c),this.triangleIds.update(new Uint32Array(f))}},N.drawTransparent=N.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||I,n=t.view||I,i=t.projection||I,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;3>o;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,contourColor:this.contourColor,texture:0};this.texture.bind(0);var l=new Array(16);_(l,s.view,s.model),_(l,s.projection,l),w(l,l);for(var o=0;3>o;++o)s.eyePosition[o]=l[12+o]/l[15];for(var c=l[15],o=0;3>o;++o)c+=this.lightPosition[o]*l[4*o+3];for(var o=0;3>o;++o){for(var u=l[12+o],f=0;3>f;++f)u+=l[4*f+o]*this.lightPosition[f];s.lightPosition[o]=u/c}if(this.triangleCount>0){var h=this.triShader;h.bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var h=this.lineShader;h.bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()}if(this.pointCount>0){var h=this.pointShader;h.bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var h=this.contourShader;h.bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind()}},N.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||I,n=t.view||I,i=t.projection||I,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;3>o;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255},l=this.pickShader;if(l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0){var l=this.pointPickShader;l.bind(),l.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}},N.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;ag;++g){var v=l[g],m=l[g+2],y=m-v,b=.5*(c[g+2]+c[g]),x=c[g+2]-c[g];e[g]=2*y/x,t[g]=2*(v-b)/x}a.bind(),i.bind(),a.attributes.dataCoord.pointer(),a.uniforms.dataShift=t,a.uniforms.dataScale=e;for(var _=0,g=0;2>g;++g){r[0]=r[1]=0,r[g]=1,a.uniforms.dataAxis=r,a.uniforms.lineWidth=f[g]/(u[g+2]-u[g])*p,a.uniforms.color=h[g];var w=6*o[g].length;d[g]&&w&&s.drawArrays(s.TRIANGLES,_,w),_+=w}}}(),u.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,d=s._tickBounds,p=s.dataBox,g=s.viewBox,v=s.pixelRatio,m=s.screenBox,y=m[2]-m[0],b=m[3]-m[1],x=g[2]-g[0],_=g[3]-g[1],w=0;2>w;++w){var k=d[w],A=d[w+2],M=A-k,T=.5*(p[w+2]+p[w]),E=p[w+2]-p[w];e[w]=2*M/E,t[w]=2*(k-T)/E}e[0]*=x/y,t[0]*=x/y,e[1]*=_/b,t[1]*=_/b,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var L=u.uniforms;L.dataShift=t,L.dataScale=e;var S=s.tickMarkLength,C=s.tickMarkWidth,z=s.tickMarkColor,P=0,R=6*f[0].length,O=Math.min(l.ge(f[0],(p[0]-d[0])/(d[2]-d[0]),i),f[0].length),I=Math.min(l.gt(f[0],(p[2]-d[0])/(d[2]-d[0]),i),f[0].length),N=P+6*O,j=6*Math.max(0,I-O),F=Math.min(l.ge(f[1],(p[1]-d[1])/(d[3]-d[1]),i),f[1].length),B=Math.min(l.gt(f[1],(p[3]-d[1])/(d[3]-d[1]),i),f[1].length),D=R+6*F,U=6*Math.max(0,B-F);a[0]=2*(g[0]-S[1])/y-1,a[1]=(g[3]+g[1])/b-1,o[0]=S[1]*v/y,o[1]=C[1]*v/b,U&&(L.color=z[1],L.tickScale=o,L.dataAxis=n,L.screenOffset=a,h.drawArrays(h.TRIANGLES,D,U)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[1]-S[0])/b-1,o[0]=C[0]*v/y,o[1]=S[0]*v/b,j&&(L.color=z[0],L.tickScale=o,L.dataAxis=r,L.screenOffset=a,h.drawArrays(h.TRIANGLES,N,j)),a[0]=2*(g[2]+S[3])/y-1,a[1]=(g[3]+g[1])/b-1,o[0]=S[3]*v/y,o[1]=C[3]*v/b,U&&(L.color=z[3],L.tickScale=o,L.dataAxis=n,L.screenOffset=a,h.drawArrays(h.TRIANGLES,D,U)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[3]+S[2])/b-1,o[0]=C[2]*v/y,o[1]=S[2]*v/b,j&&(L.color=z[2],L.tickScale=o,L.dataAxis=r,L.screenOffset=a,h.drawArrays(h.TRIANGLES,N,j))}}(),u.update=function(){var t=[1,1,-1,-1,1,-1],e=[1,-1,1,1,-1,-1];return function(r){for(var n=r.ticks,i=r.bounds,a=new Float32Array(18*(n[0].length+n[1].length)),o=(this.plot.zeroLineEnable,0),s=[[],[]],l=0;2>l;++l)for(var c=s[l],u=n[l],f=i[l],h=i[l+2],d=0;dg;++g)a[o++]=p,a[o++]=t[g],a[o++]=e[g]}this.ticks=s,this.vbo.update(a)}}(),u.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{"./shaders":146,"binary-search-bounds":148,"gl-buffer":107,"gl-shader":166}],145:[function(t,e,r){"use strict";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r}function i(t){var e=t.gl,r=a(e,[-1,-1,-1,1,1,-1,1,1]),i=o(e,s.lineVert,s.lineFrag),l=new n(t,r,i);return l}e.exports=i;var a=t("gl-buffer"),o=t("gl-shader"),s=t("./shaders"),l=n.prototype;l.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},l.drawLine=function(){var t=[0,0],e=[0,0];return function(r,n,i,a,o,s){var l=this.plot,c=this.shader,u=l.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,c.uniforms.start=t,c.uniforms.end=e,c.uniforms.width=o*l.pixelRatio,c.uniforms.color=s,u.drawArrays(u.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":146,"gl-buffer":107,"gl-shader":166}],146:[function(t,e,r){"use strict";var n="precision lowp float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n gl_FragColor = vec4(color.xyz * color.w, color.w);\n}\n";e.exports={lineVert:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 start, end;\nuniform float width;\n\nvec2 perp(vec2 v) {\n return vec2(v.y, -v.x);\n}\n\nvec2 screen(vec2 v) {\n return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n vec2 delta = normalize(perp(start - end));\n vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\n gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n",lineFrag:n,textVert:"#define GLSLIFY 1\nattribute vec3 textCoordinate;\n\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\nuniform float angle;\n\nvoid main() {\n float dataOffset = textCoordinate.z;\n vec2 glyphOffset = textCoordinate.xy;\n mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\n vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\n glyphMatrix * glyphOffset * textScale + screenOffset;\n gl_Position = vec4(screenCoordinate, 0, 1);\n}\n",textFrag:n,gridVert:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale;\nuniform float lineWidth;\n\nvoid main() {\n vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\n gl_Position = vec4(pos, 0, 1);\n}\n",gridFrag:n,boxVert:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 lo, hi;\n\nvec2 screen(vec2 v) {\n return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\n}\n",tickVert:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\n\nvoid main() {\n vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\n}\n"}},{}],147:[function(t,e,r){"use strict";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}function i(t){var e=t.gl,r=a(e),i=o(e,c.textVert,c.textFrag),s=new n(t,r,i);return s}e.exports=i;var a=t("gl-buffer"),o=t("gl-shader"),s=t("text-cache"),l=t("binary-search-bounds"),c=t("./shaders"),u=n.prototype;u.drawTicks=function(){var t=[0,0],e=[0,0],r=[0,0];return function(n){var i=this.plot,a=this.shader,o=this.tickX[n],s=this.tickOffset[n],c=i.gl,u=i.viewBox,f=i.dataBox,h=i.screenBox,d=i.pixelRatio,p=i.tickEnable,g=i.tickPad,v=i.tickColor,m=i.tickAngle,y=(i.tickMarkLength,i.labelEnable),b=i.labelPad,x=i.labelColor,_=i.labelAngle,w=this.labelOffset[n],k=this.labelCount[n],A=l.lt(o,f[n]),M=l.le(o,f[n+2]);t[0]=t[1]=0,t[n]=1,e[n]=(u[2+n]+u[n])/(h[2+n]-h[n])-1;var T=2/h[2+(1^n)]-h[1^n];e[1^n]=T*u[1^n]-1,p[n]&&(e[1^n]-=T*d*g[n],M>A&&s[M]>s[A]&&(a.uniforms.dataAxis=t,a.uniforms.screenOffset=e,a.uniforms.color=v[n],a.uniforms.angle=m[n],c.drawArrays(c.TRIANGLES,s[A],s[M]-s[A]))),y[n]&&k&&(e[1^n]-=T*d*b[n],a.uniforms.dataAxis=r,a.uniforms.screenOffset=e,a.uniforms.color=x[n],a.uniforms.angle=_[n],c.drawArrays(c.TRIANGLES,w,k)),e[1^n]=T*u[2+(1^n)]-1,p[n+2]&&(e[1^n]+=T*d*g[n+2],M>A&&s[M]>s[A]&&(a.uniforms.dataAxis=t,a.uniforms.screenOffset=e,a.uniforms.color=v[n+2],a.uniforms.angle=m[n+2],c.drawArrays(c.TRIANGLES,s[A],s[M]-s[A]))),y[n+2]&&k&&(e[1^n]+=T*d*b[n+2],a.uniforms.dataAxis=r,a.uniforms.screenOffset=e,a.uniforms.color=x[n+2],a.uniforms.angle=_[n+2],c.drawArrays(c.TRIANGLES,w,k))}}(),u.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,o=r.titleCenter,c=r.pixelRatio;if(this.titleCount){for(var u=0;2>u;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),u.bind=function(){var t=[0,0],e=[0,0],r=[0,0];return function(){var n=this.plot,i=this.shader,a=n._tickBounds,o=n.dataBox,s=n.screenBox,l=n.viewBox;i.bind();for(var c=0;2>c;++c){var u=a[c],f=a[c+2],h=f-u,d=.5*(o[c+2]+o[c]),p=o[c+2]-o[c],g=l[c],v=l[c+2],m=v-g,y=s[c],b=s[c+2],x=b-y;e[c]=2*h/p*m/x,t[c]=2*(u-d)/p*m/x}r[1]=2*n.pixelRatio/(s[3]-s[1]),r[0]=r[1]*(s[3]-s[1])/(s[2]-s[0]),i.uniforms.dataScale=e,i.uniforms.dataShift=t,i.uniforms.textScale=r,this.vbo.bind(),i.attributes.textCoordinate.pointer()}}(),u.update=function(t){for(var e=[],r=t.ticks,n=t.bounds,i=0;2>i;++i){for(var a=[Math.floor(e.length/3)],o=[-(1/0)],l=r[i],c=0;ci;++i){this.labelOffset[i]=Math.floor(e.length/3);for(var g=s(t.labelFont[i],t.labels[i]).data,p=t.labelSize[i],c=0;cp;++p)if(f[p]&&n[p]<=0&&n[p+2]>=0){var g=e[p]-n[p]*(e[p+2]-e[p])/(n[p+2]-n[p]);0===p?o.drawLine(g,e[1],g,e[3],d[p],h[p]):o.drawLine(e[0],g,e[2],g,d[p],h[p])}}for(var p=0;pp;++p)s.drawTicks(p);this.titleEnable&&s.drawTitle();for(var b=this.overlays,p=0;pc;++c){var u=s[c].slice(0);0!==u.length&&(u.sort(a),l[c]=Math.min(l[c],u[0].x),l[c+2]=Math.max(l[c+2],u[u.length-1].x))}this.grid.update({bounds:l,ticks:s}),this.text.update({bounds:l,ticks:s,labels:t.labels||["x","y"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||["sans-serif","sans-serif"],title:t.title||"",titleSize:t.titleSize||18,titleFont:t.titleFont||"sans-serif"}),this.setDirty()},h.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(var t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},h.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},h.removeObject=function(t){for(var e=this.objects,r=0;re){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){var r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function o(t){return"boolean"==typeof t?t:!0}function s(t){function e(){if(!_&&H.autoResize){var t=w.parentNode,e=1,r=1;t&&t!==document.body?(e=t.clientWidth,r=t.clientHeight):(e=window.innerWidth,r=window.innerHeight);var n=0|Math.ceil(e*H.pixelRatio),i=0|Math.ceil(r*H.pixelRatio);if(n!==w.width||i!==w.height){w.width=n,w.height=i;var a=w.style;a.position=a.position||"absolute",a.left="0px",a.top="0px",a.width=e+"px",a.height=r+"px",F=!0}}}function r(){for(var t=O.length,e=j.length,r=0;e>r;++r)N[r]=0;t:for(var r=0;t>r;++r){var n=O[r],i=n.pickSlots;if(i){for(var a=0;e>a;++a)if(N[a]+i<255){I[r]=a,n.setPickBase(N[a]+1),N[a]+=i;continue t}var o=h(A,q);I[r]=e,j.push(o),N.push(i),n.setPickBase(1),e+=1}else I[r]=-1}for(;e>0&&0===N[e-1];)N.pop(),j.pop().dispose()}function s(){return H.contextLost?!0:void(A.isContextLost()&&(H.contextLost=!0,H.mouseListener.enabled=!1,H.selection.object=null,H.oncontextloss&&H.oncontextloss()))}function y(){if(!s()){A.colorMask(!0,!0,!0,!0),A.depthMask(!0),A.disable(A.BLEND),A.enable(A.DEPTH_TEST);for(var t=O.length,e=j.length,r=0;e>r;++r){var n=j[r];n.shape=G,n.begin();for(var i=0;t>i;++i)if(I[i]===r){var a=O[i];a.drawPick&&(a.pixelRatio=1,a.drawPick(V))}n.end()}}}function b(){if(!s()){e();var t=H.camera.tick();V.view=H.camera.matrix,F=F||t,B=B||t,z.pixelRatio=H.pixelRatio,R.pixelRatio=H.pixelRatio;var r=O.length,n=W[0],i=W[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-(1/0);for(var o=0;r>o;++o){var l=O[o];l.pixelRatio=H.pixelRatio,l.axes=H.axes,F=F||!!l.dirty,B=B||!!l.dirty;var c=l.bounds;if(c)for(var f=c[0],h=c[1],d=0;3>d;++d)n[d]=Math.min(n[d],f[d]),i[d]=Math.max(i[d],h[d])}var g=H.bounds;if(H.autoBounds)for(var d=0;3>d;++d){if(i[d]d;++d)b=b||Z[0][d]!==g[0][d]||Z[1][d]!==g[1][d],Z[0][d]=g[0][d],Z[1][d]=g[1][d];if(b){for(var x=[0,0,0],o=0;3>o;++o)x[o]=a((g[1][o]-g[0][o])/10);z.autoTicks?z.update({bounds:g,tickSpacing:x}):z.update({bounds:g})}B=B||b,F=F||b;var _=A.drawingBufferWidth,w=A.drawingBufferHeight;q[0]=_,q[1]=w,G[0]=0|Math.max(_/H.pixelRatio,1),G[1]=0|Math.max(w/H.pixelRatio,1),v(D,H.fovy,_/w,H.zNear,H.zFar);for(var o=0;16>o;++o)U[o]=0;U[15]=1;for(var k=0,o=0;3>o;++o)k=Math.max(k,g[1][o]-g[0][o]);for(var o=0;3>o;++o)H.autoScale?U[5*o]=H.aspect[o]/(g[1][o]-g[0][o]):U[5*o]=1/k,H.autoCenter&&(U[12+o]=.5*-U[5*o]*(g[0][o]+g[1][o]));for(var o=0;r>o;++o){var l=O[o];l.axesBounds=g,H.clipToBounds&&(l.clipBounds=g)}if(T.object&&(H.snapToData?R.position=T.dataCoordinate:R.position=T.dataPosition,R.bounds=g),B&&(B=!1,y()),F){H.axesPixels=u(H.axes,V,_,w),H.onrender&&H.onrender(),A.bindFramebuffer(A.FRAMEBUFFER,null),A.viewport(0,0,_,w);var M=H.clearColor;A.clearColor(M[0],M[1],M[2],M[3]),A.clear(A.COLOR_BUFFER_BIT|A.DEPTH_BUFFER_BIT),A.depthMask(!0),A.colorMask(!0,!0,!0,!0),A.enable(A.DEPTH_TEST),A.depthFunc(A.LEQUAL),A.disable(A.BLEND),A.disable(A.CULL_FACE);var S=!1;z.enable&&(S=S||z.isTransparent(),z.draw(V)),R.axes=z,T.object&&R.draw(V),A.disable(A.CULL_FACE);for(var o=0;r>o;++o){var l=O[o];l.axes=z,l.pixelRatio=H.pixelRatio,l.isOpaque&&l.isOpaque()&&l.draw(V),l.isTransparent&&l.isTransparent()&&(S=!0)}if(S){E.shape=q,E.bind(),A.clear(A.DEPTH_BUFFER_BIT),A.colorMask(!1,!1,!1,!1),A.depthMask(!0),A.depthFunc(A.LESS),z.enable&&z.isTransparent()&&z.drawTransparent(V);for(var o=0;r>o;++o){var l=O[o];l.isOpaque&&l.isOpaque()&&l.draw(V)}A.enable(A.BLEND),A.blendEquation(A.FUNC_ADD),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.colorMask(!0,!0,!0,!0),A.depthMask(!1),A.clearColor(0,0,0,0),A.clear(A.COLOR_BUFFER_BIT),z.isTransparent()&&z.drawTransparent(V);for(var o=0;r>o;++o){var l=O[o];l.isTransparent&&l.isTransparent()&&l.drawTransparent(V)}A.bindFramebuffer(A.FRAMEBUFFER,null),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.disable(A.DEPTH_TEST),L.bind(),E.color[0].bind(0),L.uniforms.accumBuffer=0,p(A),A.disable(A.BLEND)}F=!1;for(var o=0;r>o;++o)O[o].dirty=!1}}}function x(){_||H.contextLost||(requestAnimationFrame(x),b())}t=t||{};var _=!1,w=(t.pixelRatio||parseFloat(window.devicePixelRatio),t.canvas);if(!w)if(w=document.createElement("canvas"),t.container){var k=t.container;k.appendChild(w)}else document.body.appendChild(w);var A=t.gl;if(A||(A=i(w,t.glOptions||{premultipliedAlpha:!0,antialias:!0})),!A)throw new Error("webgl not supported");var M=t.bounds||[[-10,-10,-10],[10,10,10]],T=new n,E=d(A,[A.drawingBufferWidth,A.drawingBufferHeight],{preferFloat:!0}),L=m(A),S=t.camera||{eye:[2,0,0],center:[0,0,0],up:[0,1,0],zoomMin:.1,zoomMax:100,mode:"turntable"},C=t.axes||{},z=c(A,C);z.enable=!C.disable;var P=t.spikes||{},R=f(A,P),O=[],I=[],N=[],j=[],F=!0,B=!0,D=new Array(16),U=new Array(16),V={view:null,projection:D,model:U},B=!0,q=[A.drawingBufferWidth,A.drawingBufferHeight],H={gl:A,contextLost:!1,pixelRatio:t.pixelRatio||parseFloat(window.devicePixelRatio),canvas:w,selection:T,camera:l(w,S),axes:z,axesPixels:null,spikes:R,bounds:M,objects:O,shape:q,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:o(t.autoResize),autoBounds:o(t.autoBounds),autoScale:!!t.autoScale,autoCenter:o(t.autoCenter),clipToBounds:o(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:V,oncontextloss:null,mouseListener:null},G=[A.drawingBufferWidth/H.pixelRatio|0,A.drawingBufferHeight/H.pixelRatio|0];H.autoResize&&e(),window.addEventListener("resize",e),H.update=function(t){_||(t=t||{},F=!0,B=!0)},H.add=function(t){_||(t.axes=z,O.push(t),I.push(-1),F=!0,B=!0,r())},H.remove=function(t){if(!_){var e=O.indexOf(t);0>e||(O.splice(e,1),I.pop(),F=!0,B=!0,r())}},H.dispose=function(){if(!_&&(_=!0,window.removeEventListener("resize",e),w.removeEventListener("webglcontextlost",s),H.mouseListener.enabled=!1,!H.contextLost)){z.dispose(),R.dispose();for(var t=0;ts;++s){var l=j[s].query(e,G[1]-r-1,H.pickRadius);if(l){if(l.distance>T.distance)continue;for(var c=0;i>c;++c){var u=O[c];if(I[c]===s){var f=u.pick(l);f&&(T.buttons=t,T.screen=l.coord,T.distance=l.distance,T.object=u,T.index=f.distance,T.dataPosition=f.position,T.dataCoordinate=f.dataCoordinate,T.data=f,o=!0)}}}}}a&&a!==T.object&&(a.highlight&&a.highlight(null),F=!0),T.object&&(T.object.highlight&&T.object.highlight(T.data),F=!0),o=o||T.object!==a,o&&H.onselect&&H.onselect(T),1&t&&!(1&X)&&H.onclick&&H.onclick(T),X=t}}),w.addEventListener("webglcontextlost",s);var W=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],Z=[W[0].slice(),W[1].slice()];return x(),H.redraw=function(){_||(F=!0,b())},H}e.exports=s;var l=t("3d-view-controls"),c=t("gl-axes3d"),u=t("gl-axes3d/properties"),f=t("gl-spikes3d"),h=t("gl-select-static"),d=t("gl-fbo"),p=t("a-big-triangle"),g=t("mouse-change"),v=t("gl-mat4/perspective"),m=t("./lib/shader")},{"./lib/shader":150,"3d-view-controls":20,"a-big-triangle":22,"gl-axes3d":99,"gl-axes3d/properties":106,"gl-fbo":114,"gl-mat4/perspective":131,"gl-select-static":165,"gl-spikes3d":175,"mouse-change":211}],152:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],d=r[0],p=r[1],g=r[2],v=r[3];return a=c*d+u*p+f*g+h*v,0>a&&(a=-a,d=-d,p=-p,g=-g,v=-v),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*c+l*d,t[1]=s*u+l*p,t[2]=s*f+l*g,t[3]=s*h+l*v,t}e.exports=n},{}],153:[function(t,e,r){"use strict";e.exports={vertex:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec2 offset;\nattribute vec4 color;\n\nuniform mat3 viewTransform;\nuniform vec2 pixelScale;\n\nvarying vec4 fragColor;\n\nvec4 computePosition_1_0(vec2 position, vec2 offset, mat3 view, vec2 scale) {\n vec3 xposition = view * vec3(position, 1.0);\n return vec4(\n xposition.xy + scale * offset * xposition.z,\n 0,\n xposition.z);\n}\n\n\n\n\nvoid main() {\n fragColor = color;\n\n gl_Position = computePosition_1_0(\n position,\n offset,\n viewTransform,\n pixelScale);\n}\n",fragment:"precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n",pickVertex:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec2 offset;\nattribute vec4 id;\n\nuniform mat3 viewTransform;\nuniform vec2 pixelScale;\nuniform vec4 pickOffset;\n\nvarying vec4 fragColor;\n\nvec4 computePosition_1_0(vec2 position, vec2 offset, mat3 view, vec2 scale) {\n vec3 xposition = view * vec3(position, 1.0);\n return vec4(\n xposition.xy + scale * offset * xposition.z,\n 0,\n xposition.z);\n}\n\n\n\n\nvoid main() {\n vec4 fragId = id + pickOffset;\n\n fragId.y += floor(fragId.x / 256.0);\n fragId.x -= floor(fragId.x / 256.0) * 256.0;\n\n fragId.z += floor(fragId.y / 256.0);\n fragId.y -= floor(fragId.y / 256.0) * 256.0;\n\n fragId.w += floor(fragId.z / 256.0);\n fragId.z -= floor(fragId.z / 256.0) * 256.0;\n\n fragColor = fragId / 255.0;\n\n gl_Position = computePosition_1_0(\n position,\n offset,\n viewTransform,\n pixelScale);\n}\n",pickFragment:"precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n gl_FragColor = fragColor;\n}\n"}},{}],154:[function(t,e,r){"use strict";function n(t){if(t in h)return h[t];var e=u(t,{polygons:!0,font:"sans-serif",textAlign:"left",textBaseline:"alphabetic"}),r=[],n=[];e.forEach(function(t){t.forEach(function(t){for(var e=0;eo;++o)i[o]=Math.min(i[o],r[a+o]),i[2+o]=Math.max(i[2+o],r[a+o]);return h[t]={coords:r,normals:n,bounds:i}}function i(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.offsetBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.bounds=[1/0,1/0,-(1/0),-(1/0)],this.numPoints=0,this.numVertices=0,this.pickOffset=0,this.points=null}function a(t,e){var r=t.gl,n=o(r,f.vertex,f.fragment),a=o(r,f.pickVertex,f.pickFragment),l=s(r),c=s(r),u=s(r),h=s(r),d=new i(t,n,a,l,c,u,h);return d.update(e),t.addObject(d),d}e.exports=a;var o=t("gl-shader"),s=t("gl-buffer"),l=t("text-cache"),c=t("typedarray-pool"),u=t("vectorize-text"),f=t("./lib/shaders"),h={},d=i.prototype;!function(){function t(){var t=this.plot,n=this.bounds,i=t.viewBox,a=t.dataBox,o=t.pixelRatio,s=n[2]-n[0],l=n[3]-n[1],c=a[2]-a[0],u=a[3]-a[1];e[0]=2*s/c,e[4]=2*l/u,e[6]=2*(n[0]-a[0])/c-1,e[7]=2*(n[1]-a[1])/u-1;var f=i[2]-i[0],h=i[3]-i[1];r[0]=2*o/f,r[1]=2*o/h}var e=[1,0,0,0,1,0,0,0,1],r=[1,1];d.draw=function(){var n=this.plot,i=this.shader,a=this.numVertices;if(a){var o=n.gl;t.call(this),i.bind(),i.uniforms.pixelScale=r,i.uniforms.viewTransform=e,this.positionBuffer.bind(),i.attributes.position.pointer(),this.offsetBuffer.bind(),i.attributes.offset.pointer(),this.colorBuffer.bind(),i.attributes.color.pointer(o.UNSIGNED_BYTE,!0),o.drawArrays(o.TRIANGLES,0,a)}};var n=[0,0,0,0];d.drawPick=function(i){var a=this.plot,o=this.pickShader,s=this.numVertices,l=a.gl;if(this.pickOffset=i,!s)return i;for(var c=0;4>c;++c)n[c]=i>>8*c&255;return t.call(this),o.bind(),o.uniforms.pixelScale=r,o.uniforms.viewTransform=e,o.uniforms.pickOffset=n,this.positionBuffer.bind(),o.attributes.position.pointer(),this.offsetBuffer.bind(),o.attributes.offset.pointer(),this.idBuffer.bind(),o.attributes.id.pointer(l.UNSIGNED_BYTE,!1),l.drawArrays(l.TRIANGLES,0,s),i+this.numPoints}}(),d.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(n>r||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},d.update=function(t){t=t||{};var e=t.positions||[],r=t.colors||[],i=t.glyphs||[],a=t.sizes||[],o=t.borderWidths||[],s=t.borderColors||[];this.points=e;for(var u=this.bounds=[1/0,1/0,-(1/0),-(1/0)],f=0,h=0;h>1;for(var d=0;2>d;++d)u[d]=Math.min(u[d],e[2*h+d]),u[2+d]=Math.max(u[2+d],e[2*h+d])}u[0]===u[2]&&(u[2]+=1),u[3]===u[1]&&(u[3]+=1);for(var p=1/(u[2]-u[0]),g=1/(u[3]-u[1]),v=u[0],m=u[1],y=c.mallocFloat32(2*f),b=c.mallocFloat32(2*f),x=c.mallocUint8(4*f),_=c.mallocUint32(f),w=0,h=0;h=a?i(0,a-1,t,e,r,n):f(0,a-1,t,e,r,n)}function i(t,e,r,n,i,a){for(var o=t+1;e>=o;++o){for(var s=r[o],l=n[2*o],c=n[2*o+1],u=i[o],f=a[o],h=o;h>t;){var d=r[h-1],p=n[2*(h-1)];if((d-s||l-p)>=0)break;r[h]=d,n[2*h]=p,n[2*h+1]=n[2*h-1],i[h]=i[h-1],a[h]=a[h-1],h-=1}r[h]=s,n[2*h]=l,n[2*h+1]=c,i[h]=u,a[h]=f}}function a(t,e,r,n,i,a){var o=r[t],s=n[2*t],l=n[2*t+1],c=i[t],u=a[t];r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e],r[e]=o,n[2*e]=s,n[2*e+1]=l,i[e]=c,a[e]=u}function o(t,e,r,n,i,a){r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e]}function s(t,e,r,n,i,a,o){var s=n[t],l=i[2*t],c=i[2*t+1],u=a[t],f=o[t];n[t]=n[e],i[2*t]=i[2*e],i[2*t+1]=i[2*e+1],a[t]=a[e],o[t]=o[e],n[e]=n[r],i[2*e]=i[2*r],i[2*e+1]=i[2*r+1],a[e]=a[r],o[e]=o[r],n[r]=s,i[2*r]=l,i[2*r+1]=c,a[r]=u,o[r]=f}function l(t,e,r,n,i,a,o,s,l,c,u){s[t]=s[e],l[2*t]=l[2*e],l[2*t+1]=l[2*e+1],c[t]=c[e],u[t]=u[e],s[e]=r,l[2*e]=n,l[2*e+1]=i,c[e]=a,u[e]=o}function c(t,e,r,n,i){return(r[t]-r[e]||n[2*e]-n[2*t]||i[t]-i[e])<0}function u(t,e,r,n,i,a,o,s){return(e-a[t]||o[2*t]-r||i-s[t])<0}function f(t,e,r,n,d,p){var g=(e-t+1)/6|0,v=t+g,m=e-g,y=t+e>>1,b=y-g,x=y+g,_=v,w=b,k=y,A=x,M=m,T=t+1,E=e-1,L=0;c(_,w,r,n,d,p)&&(L=_,_=w,w=L),c(A,M,r,n,d,p)&&(L=A,A=M,M=L),c(_,k,r,n,d,p)&&(L=_,_=k,k=L),c(w,k,r,n,d,p)&&(L=w,w=k,k=L),c(_,A,r,n,d,p)&&(L=_,_=A,A=L),c(k,A,r,n,d,p)&&(L=k,k=A,A=L),c(w,M,r,n,d,p)&&(L=w,w=M,M=L),c(w,k,r,n,d,p)&&(L=w,w=k,k=L),c(A,M,r,n,d,p)&&(L=A,A=M,M=L);var S=r[w],C=n[2*w],z=n[2*w+1],P=d[w],R=p[w],O=r[A],I=n[2*A],N=n[2*A+1],j=d[A],F=p[A],B=_,D=k,U=M,V=v,q=y,H=m,G=r[B],Y=r[D],X=r[U];r[V]=G,r[q]=Y,r[H]=X;for(var W=0;2>W;++W){var Z=n[2*B+W],K=n[2*D+W],Q=n[2*U+W];n[2*V+W]=Z,n[2*q+W]=K,n[2*H+W]=Q}var $=d[B],J=d[D],tt=d[U];d[V]=$,d[q]=J,d[H]=tt;var et=p[B],rt=p[D],nt=p[U];p[V]=et,p[q]=rt,p[H]=nt,o(b,t,r,n,d,p),o(x,e,r,n,d,p);for(var it=T;E>=it;++it)if(u(it,S,C,z,P,r,n,d))it!==T&&a(it,T,r,n,d,p),++T;else if(!u(it,O,I,N,j,r,n,d))for(;;){if(u(E,O,I,N,j,r,n,d)){u(E,S,C,z,P,r,n,d)?(s(it,T,E,r,n,d,p),++T,--E):(a(it,E,r,n,d,p),--E);break}if(--E=T-2-t?i(t,T-2,r,n,d,p):f(t,T-2,r,n,d,p),h>=e-(E+2)?i(E+2,e,r,n,d,p):f(E+2,e,r,n,d,p),h>=E-T?i(T,E,r,n,d,p):f(T,E,r,n,d,p)}e.exports=n;var h=32},{}],158:[function(t,e,r){"use strict";function n(t,e,r,n,i,a,o,s){for(var l=r,c=r;n>c;++c){var u=t[2*c],f=t[2*c+1],h=e[c];u>=i&&o>=u&&f>=a&&s>=f&&(c===l?l+=1:(t[2*c]=t[2*l],t[2*c+1]=t[2*l+1],e[c]=e[l],t[2*l]=u,t[2*l+1]=f,e[l]=h,l+=1))}return l}function i(t,e,r){this.pixelSize=t,this.offset=e,this.count=r}function a(t,e,r,a){function l(i,a,o,s,c,u){var f=.5*o,h=s+1,d=c-s;r[_]=d,x[_++]=u;for(var p=0;2>p;++p)for(var g=0;2>g;++g){var v=i+p*f,m=a+g*f,y=n(t,e,h,c,v,m,v+f,m+f);if(y!==h){if(y-h>=Math.max(.9*d,32)){var b=c+s>>>1;l(v,m,f,h,b,u+1),h=b}l(v,m,f,h,y,u+1),h=y}}}var c=t.length>>>1;if(1>c)return[];for(var u=1/0,f=1/0,h=-(1/0),d=-(1/0),p=0;c>p;++p){var g=t[2*p],v=t[2*p+1];u=Math.min(u,g),h=Math.max(h,g),f=Math.min(f,v),d=Math.max(d,v),e[p]=p}u===h&&(h+=1+Math.abs(h)),f===d&&(d+=1+Math.abs(h));var m=1/(h-u),y=1/(d-f),b=Math.max(h-u,d-f);a=a||[0,0,0,0],a[0]=u,a[1]=f,a[2]=h,a[3]=d;var x=o.mallocInt32(c),_=0;l(u,f,b,0,c,0),s(x,t,e,r,c);for(var w=[],k=0,A=c,_=c-1;_>=0;--_){t[2*_]=(t[2*_]-u)*m,t[2*_+1]=(t[2*_+1]-f)*y;var M=x[_];M!==k&&(w.push(new i(b*Math.pow(.5,M),_+1,A-(_+1))),A=_+1,k=M)}return w.push(new i(b*Math.pow(.5,M+1),0,A)),o.free(x),w}var o=t("typedarray-pool"),s=t("./lib/sort");e.exports=a},{"./lib/sort":157,"typedarray-pool":282}],159:[function(t,e,r){"use strict";function n(t,e,r,n,i,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.weightBuffer=n,this.shader=i,this.pickShader=a,this.scales=[],this.size=12,this.borderSize=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.bounds=[1/0,1/0,-(1/0),-(1/0)],this.pickOffset=0,this.points=null,this.xCoords=null}function i(t,e){var r=t.gl,i=o(r),s=o(r),l=o(r),c=a(r,u.pointVertex,u.pointFragment),f=a(r,u.pickVertex,u.pickFragment),h=new n(t,i,s,l,c,f);return h.update(e),t.addObject(h),h}var a=t("gl-shader"),o=t("gl-buffer"),s=t("binary-search-bounds"),l=t("snap-points-2d"),c=t("typedarray-pool"),u=t("./lib/shader");e.exports=i;var f=n.prototype;f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.xCoords&&c.free(this.xCoords),this.plot.removeObject(this)},f.update=function(t){function e(e,r){return e in t?t[e]:r}t=t||{},this.size=e("size",12),this.color=e("color",[1,0,0,1]).slice(),this.borderSize=e("borderSize",1),this.borderColor=e("borderColor",[0,0,0,1]).slice(),this.xCoords&&c.free(this.xCoords);var r=t.positions,n=c.mallocFloat32(r.length),i=c.mallocInt32(r.length>>>1);n.set(r);var a=c.mallocFloat32(r.length);this.points=r,this.scales=l(n,i,a,this.bounds),this.offsetBuffer.update(n),this.pickBuffer.update(i),this.weightBuffer.update(a);for(var o=c.mallocFloat32(r.length>>>1),s=0,u=0;s>>1,this.pickOffset=0},f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.scales,o=this.offsetBuffer,l=this.pickBuffer,c=this.bounds,u=this.size,f=this.borderSize,h=n.gl,d=n.pickPixelRatio,p=n.viewBox,g=n.dataBox;if(0===this.pointCount)return r;var v=c[2]-c[0],m=c[3]-c[1],y=g[2]-g[0],b=g[3]-g[1],x=(p[2]-p[0])*d/n.pixelRatio,_=(p[3]-p[1])*d/n.pixelRatio,w=Math.min(y/x,b/_);t[0]=2*v/y,t[4]=2*m/b,t[6]=2*(c[0]-g[0])/y-1,t[7]=2*(c[1]-g[1])/b-1,this.pickOffset=r,e[0]=255&r,e[1]=r>>8&255,e[2]=r>>16&255,e[3]=r>>24&255,i.bind(),i.uniforms.matrix=t,i.uniforms.color=this.color,i.uniforms.borderColor=this.borderColor,i.uniforms.pointSize=d*(u+f),i.uniforms.pickOffset=e,0===this.borderSize?i.uniforms.centerFraction=2:i.uniforms.centerFraction=u/(u+f+1.25),o.bind(),i.attributes.position.pointer(),l.bind(),i.attributes.pickId.pointer(h.UNSIGNED_BYTE);for(var k=this.xCoords,A=(g[0]-c[0]-w*u*d)/v,M=(g[2]-c[0]+w*u*d)/v,T=a.length-1;T>=0;--T){var E=a[T];if(!(E.pixelSize1)){var L=E.offset,S=E.count+L,C=s.ge(k,A,L,S-1),z=s.lt(k,M,C,S-1)+1;z>C&&h.drawArrays(h.POINTS,C,z-C)}}return r+this.pointCount}}(),f.draw=function(){var t=[1,0,0,0,1,0,0,0,1];return function(){var e=this.plot,r=this.shader,n=this.scales,i=this.offsetBuffer,a=this.bounds,o=this.size,l=this.borderSize,c=e.gl,u=e.pixelRatio,f=e.viewBox,h=e.dataBox;if(0!==this.pointCount){var d=a[2]-a[0],p=a[3]-a[1],g=h[2]-h[0],v=h[3]-h[1],m=f[2]-f[0],y=f[3]-f[1],b=Math.min(g/m,v/y);t[0]=2*d/g,t[4]=2*p/v,t[6]=2*(a[0]-h[0])/g-1,t[7]=2*(a[1]-h[1])/v-1,r.bind(),r.uniforms.matrix=t,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointSize=u*(o+l),r.uniforms.useWeight=1,0===this.borderSize?r.uniforms.centerFraction=2:r.uniforms.centerFraction=o/(o+l+1.25),i.bind(),r.attributes.position.pointer(),this.weightBuffer.bind(),r.attributes.weight.pointer();for(var x=this.xCoords,_=(h[0]-a[0]-b*o*u)/d,w=(h[2]-a[0]+b*o*u)/d,k=!0,A=n.length-1;A>=0;--A){var M=n[A];if(!(M.pixelSize1)){var T=M.offset,E=M.count+T,L=s.ge(x,_,T,E-1),S=s.lt(x,w,L,E-1)+1;S>L&&c.drawArrays(c.POINTS,L,S-L),k&&(k=!1,r.uniforms.useWeight=0)}}}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(n>r||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{"./lib/shader":155,"binary-search-bounds":156,"gl-buffer":107,"gl-shader":166,"snap-points-2d":158,"typedarray-pool":282}],160:[function(t,e,r){"use strict";function n(t,e){var r=a[e];if(r||(r=a[e]={}),t in r)return r[t];for(var n=i(t,{textAlign:"center",textBaseline:"middle",lineHeight:1,font:e}),o=i(t,{triangles:!0,textAlign:"center",textBaseline:"middle",lineHeight:1,font:e}),s=[[1/0,1/0],[-(1/0),-(1/0)]],l=0;lu;++u)s[0][u]=Math.min(s[0][u],c[u]),s[1][u]=Math.max(s[1][u],c[u]);return r[t]=[o,n,s]}var i=t("vectorize-text");e.exports=n;var a={}},{"vectorize-text":285}],161:[function(t,e,r){function n(t,e){var r=i(t,e),n=r.attributes;return n.position.location=0,n.color.location=1,n.glyph.location=2,n.id.location=3,r}var i=t("gl-shader"),a="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || \n any(greaterThan(position, clipBounds[1])) ) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = 1.0;\n if(distance(highlightId, id) < 0.0001) {\n scale = highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1);\n vec4 viewPosition = view * worldPosition;\n viewPosition = viewPosition / viewPosition.w;\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n \n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}",o="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || any(greaterThan(position, clipBounds[1]))) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = pixelRatio;\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\n scale *= highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1.0);\n vec4 viewPosition = view * worldPosition;\n vec4 clipPosition = projection * viewPosition;\n clipPosition /= clipPosition.w;\n \n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}",s="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) ||\n any(greaterThan(position, clipBounds[1])) ) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float lscale = pixelRatio * scale;\n if(distance(highlightId, id) < 0.0001) {\n lscale *= highlightScale;\n }\n\n vec4 clipCenter = projection * view * model * vec4(position, 1);\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = dataPosition;\n }\n}\n",l="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(dataCoordinate, fragClipBounds[0])) ||\n any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\n discard;\n } else {\n gl_FragColor = interpColor * opacity;\n }\n}\n",c="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(dataCoordinate, fragClipBounds[0])) || \n any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\n discard;\n } else {\n gl_FragColor = vec4(pickGroup, pickId.bgr);\n }\n}",u=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},d={vertex:s,fragment:l,attributes:u},p={vertex:a,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},v={vertex:s,fragment:c,attributes:u};r.createPerspective=function(t){return n(t,f)},r.createOrtho=function(t){return n(t,h)},r.createProject=function(t){return n(t,d)},r.createPickPerspective=function(t){return n(t,p)},r.createPickOrtho=function(t){return n(t,g)},r.createPickProject=function(t){return n(t,v)}},{"gl-shader":166}],162:[function(t,e,r){"use strict";function n(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function i(t,e,r,i){return n(i,i,r),n(i,i,e),n(i,i,t)}function a(t,e){this.index=t,this.dataCoordinate=this.position=e}function o(t,e,r,n,i,o,s,l,c,u,f,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=o,this.glyphBuffer=s,this.idBuffer=l,this.vao=c,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=f,this.pickProjectShader=h,this.points=[],this._selectResult=new a(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.dirty=!0}function s(t){return t[0]=t[1]=t[2]=0,t}function l(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function c(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function u(t){for(var e=S,r=0;2>r;++r)for(var n=0;3>n;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}function f(t,e,r,n,a){var o,f=e.axesProject,h=e.gl,d=t.uniforms,p=r.model||x,g=r.view||x,v=r.projection||x,y=e.axesBounds,b=u(e.clipBounds);o=e.axes?e.axes.lastCubeProps.axis:[1,1,1],w[0]=2/h.drawingBufferWidth,w[1]=2/h.drawingBufferHeight,t.bind(),d.view=g,d.projection=v,d.screenSize=w,d.highlightId=e.highlightId,d.highlightScale=e.highlightScale,d.clipBounds=b,d.pickGroup=e.pickId/255,d.pixelRatio=e.pixelRatio;for(var _=0;3>_;++_)if(f[_]&&e.projectOpacity[_]<1===n){d.scale=e.projectScale[_],d.opacity=e.projectOpacity[_];for(var S=E,C=0;16>C;++C)S[C]=0;for(var C=0;4>C;++C)S[5*C]=1;S[5*_]=0,o[_]<0?S[12+_]=y[0][_]:S[12+_]=y[1][_],m(S,p,S),d.model=S;var z=(_+1)%3,P=(_+2)%3,R=s(k),O=s(A);R[z]=1,O[P]=1;var I=i(v,g,p,l(M,R)),N=i(v,g,p,l(T,O));if(Math.abs(I[1])>Math.abs(N[1])){var j=I;I=N,N=j,j=R,R=O,O=j;var F=z;z=P,P=F}I[0]<0&&(R[z]=-1),N[1]>0&&(O[P]=-1);for(var B=0,D=0,C=0;4>C;++C)B+=Math.pow(p[4*z+C],2), +D+=Math.pow(p[4*P+C],2);R[z]/=Math.sqrt(B),O[P]/=Math.sqrt(D),d.axes[0]=R,d.axes[1]=O,d.fragClipBounds[0]=c(L,b[0],_,-1e8),d.fragClipBounds[1]=c(L,b[1],_,1e8),e.vao.draw(h.TRIANGLES,e.vertexCount),e.lineWidth>0&&(h.lineWidth(e.lineWidth),e.vao.draw(h.LINES,e.lineVertexCount,e.vertexCount))}}function h(t,e,r,n,i,a){var o=r.gl;if(r.vao.bind(),i===r.opacity<1||a){t.bind();var s=t.uniforms;s.model=n.model||x,s.view=n.view||x,s.projection=n.projection||x,w[0]=2/o.drawingBufferWidth,w[1]=2/o.drawingBufferHeight,s.screenSize=w,s.highlightId=r.highlightId,s.highlightScale=r.highlightScale,s.fragClipBounds=P,s.clipBounds=r.axes.bounds,s.opacity=r.opacity,s.pickGroup=r.pickId/255,s.pixelRatio=r.pixelRatio,r.vao.draw(o.TRIANGLES,r.vertexCount),r.lineWidth>0&&(o.lineWidth(r.lineWidth),r.vao.draw(o.LINES,r.lineVertexCount,r.vertexCount))}f(e,r,n,i,a),r.vao.unbind()}function d(t){var e=t.gl,r=y.createPerspective(e),n=y.createOrtho(e),i=y.createProject(e),a=y.createPickPerspective(e),s=y.createPickOrtho(e),l=y.createPickProject(e),c=p(e),u=p(e),f=p(e),h=p(e),d=g(e,[{buffer:c,size:3,type:e.FLOAT},{buffer:u,size:4,type:e.FLOAT},{buffer:f,size:2,type:e.FLOAT},{buffer:h,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new o(e,r,n,i,c,u,f,h,d,a,s,l);return v.update(t),v}var p=t("gl-buffer"),g=t("gl-vao"),v=t("typedarray-pool"),m=t("gl-mat4/multiply"),y=t("./lib/shaders"),b=t("./lib/glyphs"),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];e.exports=d;var _=o.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.opacity<1)return!0;for(var t=0;3>t;++t)if(this.axesProject[t]&&this.projectOpacity[t]<1)return!0;return!1},_.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;3>t;++t)if(this.axesProject[t]&&this.projectOpacity[t]>=1)return!0;return!1};var w=[0,0],k=[0,0,0],A=[0,0,0],M=[0,0,0,1],T=[0,0,0,1],E=x.slice(),L=[0,0,0],S=[[0,0,0],[0,0,0]],C=[-1e8,-1e8,-1e8],z=[1e8,1e8,1e8],P=[C,z];_.draw=function(t){var e=this.useOrtho?this.orthoShader:this.shader;h(e,this.projectShader,this,t,!1,!1)},_.drawTransparent=function(t){var e=this.useOrtho?this.orthoShader:this.shader;h(e,this.projectShader,this,t,!0,!1)},_.drawPick=function(t){var e=this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader;h(e,this.pickProjectShader,this,t,!1,!0)},_.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||0>e)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;3>i;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},_.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},_.update=function(t){if(t=t||{},"perspective"in t&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if("projectOpacity"in t)if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{var r=+t.projectOpacity;this.projectOpacity=[r,r,r]}"opacity"in t&&(this.opacity=t.opacity),this.dirty=!0;var n=t.position;if(n){var i=t.font||"normal",a=t.alignment||[0,0],o=[1/0,1/0,1/0],s=[-(1/0),-(1/0),-(1/0)],l=t.glyph,c=t.color,u=t.size,f=t.angle,h=t.lineColor,d=0,p=0,g=0,m=n.length;t:for(var y=0;m>y;++y){for(var x=n[y],_=0;3>_;++_)if(isNaN(x[_])||!isFinite(x[_]))continue t;var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b("\u25cf",i);var k=w[0],A=w[1],M=w[2];p+=3*k.cells.length,g+=2*A.edges.length}var T=p+g,E=v.mallocFloat(3*T),L=v.mallocFloat(4*T),S=v.mallocFloat(2*T),C=v.mallocUint32(T),z=[0,a[1]],P=0,R=p,O=[0,0,0,1],I=[0,0,0,1],N=Array.isArray(c)&&Array.isArray(c[0]),j=Array.isArray(h)&&Array.isArray(h[0]);t:for(var y=0;m>y;++y){for(var x=n[y],_=0;3>_;++_){if(isNaN(x[_])||!isFinite(x[_])){d+=1;continue t}s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_])}var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b("\u25cf",i);var k=w[0],A=w[1],M=w[2];if(Array.isArray(c)){var F;if(F=N?c[y]:c,3===F.length){for(var _=0;3>_;++_)O[_]=F[_];O[3]=1}else if(4===F.length)for(var _=0;4>_;++_)O[_]=F[_]}else O[0]=O[1]=O[2]=0,O[3]=1;if(Array.isArray(h)){var F;if(F=j?h[y]:h,3===F.length){for(var _=0;3>_;++_)I[_]=F[_];I[_]=1}else if(4===F.length)for(var _=0;4>_;++_)I[_]=F[_]}else I[0]=I[1]=I[2]=0,I[3]=1;var B=.5;Array.isArray(u)?B=+u[y]:u?B=+u:this.useOrtho&&(B=12);var D=0;Array.isArray(f)?D=+f[y]:f&&(D=+f);for(var U=Math.cos(D),V=Math.sin(D),x=n[y],_=0;3>_;++_)s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_]);a[0]<0?z[0]=a[0]*(1+M[1][0]):a[0]>0&&(z[0]=-a[0]*(1+M[0][0]));for(var q=k.cells,H=k.positions,_=0;_Y;++Y){for(var X=0;3>X;++X)E[3*P+X]=x[X];for(var X=0;4>X;++X)L[4*P+X]=O[X];C[P]=d;var W=H[G[Y]];S[2*P]=B*(U*W[0]-V*W[1]+z[0]),S[2*P+1]=B*(V*W[0]+U*W[1]+z[1]),P+=1}for(var q=A.edges,H=A.positions,_=0;_Y;++Y){for(var X=0;3>X;++X)E[3*R+X]=x[X];for(var X=0;4>X;++X)L[4*R+X]=I[X];C[R]=d;var W=H[G[Y]];S[2*R]=B*(U*W[0]-V*W[1]+z[0]),S[2*R+1]=B*(V*W[0]+U*W[1]+z[1]),R+=1}d+=1}this.vertexCount=p,this.lineVertexCount=g,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(S),this.idBuffer.update(new 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l=a(t,i),c=o(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=s(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var f=new n(t,l,c,u);return f.update(e),f}var a=t("gl-buffer"),o=t("gl-vao"),s=t("./shaders/index");e.exports=i;var l=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],c=n.prototype,u=[0,0,0],f=[0,0,0],h=[0,0];c.isTransparent=function(){return!1},c.drawTransparent=function(t){},c.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||l,o=t.view||l,s=t.projection||l;this.axes&&(i=this.axes.lastCubeProps.axis);for(var c=u,d=f,p=0;3>p;++p)i&&i[p]<0?(c[p]=this.bounds[0][p],d[p]=this.bounds[1][p]):(c[p]=this.bounds[1][p],d[p]=this.bounds[0][p]);h[0]=e.drawingBufferWidth,h[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=o,n.uniforms.projection=s,n.uniforms.coordinates=[this.position,c,d],n.uniforms.colors=this.colors,n.uniforms.screenShape=h;for(var p=0;3>p;++p)n.uniforms.lineWidth=this.lineWidth[p]*this.pixelRatio,this.enabled[p]&&(r.draw(e.TRIANGLES,6,6*p),this.drawSides[p]&&r.draw(e.TRIANGLES,12,18+12*p));r.unbind()},c.update=function(t){t&&("bounds"in t&&(this.bounds=t.bounds),"position"in t&&(this.position=t.position),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"colors"in t&&(this.colors=t.colors),"enabled"in t&&(this.enabled=t.enabled),"drawSides"in t&&(this.drawSides=t.drawSides))},c.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{"./shaders/index":174,"gl-buffer":107,"gl-vao":182}],176:[function(t,e,r){var n=t("gl-shader"),i="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\n\nvoid main() {\n worldCoordinate = vec3(uv.zw, f.x);\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n vec4 clipPosition = projection * view * worldPosition;\n gl_Position = clipPosition;\n kill = f.y;\n value = f.z;\n planeCoordinate = uv.xy;\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * worldPosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n lightDirection = lightPosition - cameraCoordinate.xyz;\n eyeDirection = eyePosition - cameraCoordinate.xyz;\n surfaceNormal = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n",a="precision mediump float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution_2_0(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\n\n\nfloat beckmannSpecular_1_1(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness) {\n return beckmannDistribution_2_0(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\n\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\n\nvoid main() {\n if(kill > 0.0 ||\n any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\n discard;\n }\n\n vec3 N = normalize(surfaceNormal);\n vec3 V = normalize(eyeDirection);\n vec3 L = normalize(lightDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = beckmannSpecular_1_1(L, V, N, roughness);\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = texture2D(colormap, vec2(value, value));\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n",o="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\n\nvoid main() {\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n vec4 worldPosition = model * vec4(dataCoordinate, 1.0);\n\n vec4 clipPosition = projection * view * worldPosition;\n clipPosition.z = clipPosition.z + zOffset;\n\n gl_Position = clipPosition;\n value = f;\n kill = -1.0;\n worldCoordinate = dataCoordinate;\n planeCoordinate = uv.zw;\n\n //Don't do lighting for contours\n surfaceNormal = vec3(1,0,0);\n eyeDirection = vec3(0,1,0);\n lightDirection = vec3(0,0,1);\n}\n",s="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n float vh = 255.0 * v;\n float upper = floor(vh);\n float lower = fract(vh);\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n if(kill > 0.0 ||\n any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\n discard;\n }\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n";r.createShader=function(t){var e=n(t,i,a,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,s,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0, +e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,o,a,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,o,s,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{"gl-shader":166}],177:[function(t,e,r){"use strict";function n(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}function i(t){var e=x([y({colormap:t,nshades:N,format:"rgba"}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return b.divseq(e,255),e}function a(t,e,r,i,a,o,s,l,c,u,f,h,d,p){this.gl=t,this.shape=e,this.bounds=r,this.intensityBounds=[],this._shader=i,this._pickShader=a,this._coordinateBuffer=o,this._vao=s,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=h,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new n([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=p,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[_(m.mallocFloat(1024),[0,0]),_(m.mallocFloat(1024),[0,0]),_(m.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.snapToData=!1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.dirty=!0}function o(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||F,o=e.showSurface,s=e.showContour;for(r=0;3>r;++r)for(o=o||e.surfaceProject[r],n=0;3>n;++n)s=s||e.contourProject[r][n];for(r=0;3>r;++r){var l=B.projections[r];for(n=0;16>n;++n)l[n]=0;for(n=0;4>n;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],k(l,t.model,l);var c=B.clipBounds[r];for(i=0;2>i;++i)for(n=0;3>n;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return B.showSurface=o,B.showContour=s,B}function s(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=D;n.model=t.model||R,n.view=t.view||R,n.projection=t.projection||R,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.contourColor=this.contourColor[0],n.inverseModel=A(n.inverseModel,n.model);for(var i=0;2>i;++i)for(var a=n.clipBounds[i],s=0;3>s;++s)a[s]=Math.min(Math.max(this.clipBounds[i][s],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=V;var l=U;for(k(l,n.view,n.model),k(l,n.projection,l),A(l,l),i=0;3>i;++i)n.eyePosition[i]=l[12+i]/l[15];var c=l[15];for(i=0;3>i;++i)c+=this.lightPosition[i]*l[4*i+3];for(i=0;3>i;++i){var u=l[12+i];for(s=0;3>s;++s)u+=l[4*s+i]*this.lightPosition[s];n.lightPosition[i]=u/c}var f=o(n,this);if(f.showSurface&&e===this.opacity<1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;3>i;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=f.projections[i],this._shader.uniforms.clipBounds=f.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(f.showContour&&!e){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var d=this._contourVAO;for(d.bind(),i=0;3>i;++i)for(h.uniforms.permutation=I[i],r.lineWidth(this.contourWidth[i]),s=0;si;++i)for(h.uniforms.model=f.projections[i],h.uniforms.clipBounds=f.clipBounds[i],s=0;3>s;++s)if(this.contourProject[i][s]){h.uniforms.permutation=I[s],r.lineWidth(this.contourWidth[s]);for(var p=0;pi;++i)if(0!==this._dynamicCounts[i])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=I[i],r.lineWidth(this.dynamicWidth[i]),h.uniforms.contourColor=this.dynamicColor[i],h.uniforms.contourTint=this.dynamicTint[i],h.uniforms.height=this.dynamicLevel[i],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),s=0;3>s;++s)this.contourProject[s][i]&&(h.uniforms.model=f.projections[s],h.uniforms.clipBounds=f.clipBounds[s],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));d.unbind()}}function l(t,e){var r=e.shape.slice(),n=t.shape.slice();b.assign(t.lo(1,1).hi(r[0],r[1]),e),b.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),b.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),b.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),b.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))}function c(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function u(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function f(t){if(Array.isArray(t)){if(Array.isArray(t))return[u(t[0]),u(t[1]),u(t[2])];var e=u(t);return[e.slice(),e.slice(),e.slice()]}}function h(t){var e=t.gl,r=L(e),n=C(e),i=S(e),o=z(e),s=p(e),l=g(e,[{buffer:s,size:4,stride:P,offset:0},{buffer:s,size:3,stride:P,offset:16},{buffer:s,size:3,stride:P,offset:28}]),c=p(e),u=g(e,[{buffer:c,size:4,stride:20,offset:0},{buffer:c,size:1,stride:20,offset:16}]),f=p(e),h=g(e,[{buffer:f,size:2,type:e.FLOAT}]),d=v(e,1,N,e.RGBA,e.UNSIGNED_BYTE);d.minFilter=e.LINEAR,d.magFilter=e.LINEAR;var m=new a(e,[0,0],[[0,0,0],[0,0,0]],r,n,s,l,d,i,o,c,u,f,h),y={levels:[[],[],[]]};for(var b in t)y[b]=t[b];return y.colormap=y.colormap||"jet",m.update(y),m}e.exports=h;var d=t("bit-twiddle"),p=t("gl-buffer"),g=t("gl-vao"),v=t("gl-texture2d"),m=t("typedarray-pool"),y=t("colormap"),b=t("ndarray-ops"),x=t("ndarray-pack"),_=t("ndarray"),w=t("surface-nets"),k=t("gl-mat4/multiply"),A=t("gl-mat4/invert"),M=t("binary-search-bounds"),T=t("ndarray-gradient"),E=t("./lib/shaders"),L=E.createShader,S=E.createContourShader,C=E.createPickShader,z=E.createPickContourShader,P=40,R=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],O=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],I=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];!function(){for(var t=0;3>t;++t){var e=I[t],r=(t+1)%3,n=(t+2)%3;e[r+0]=1,e[n+3]=1,e[t+6]=1}}();var N=265,j=a.prototype;j.isTransparent=function(){return this.opacity<1},j.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;3>t;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},j.pickSlots=1,j.setPickBase=function(t){this.pickId=t};var F=[0,0,0],B={showSurface:!1,showContour:!1,projections:[R.slice(),R.slice(),R.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]},D={model:R,view:R,projection:R,inverseModel:R.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1},U=R.slice(),V=[1,0,0,0,1,0,0,0,1];j.draw=function(t){return s.call(this,t,!1)},j.drawTransparent=function(t){return s.call(this,t,!0)};var q={model:R,view:R,projection:R,inverseModel:R,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};j.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=q;r.model=t.model||R,r.view=t.view||R,r.projection=t.projection||R,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.permutation=V;for(var n=0;2>n;++n)for(var i=r.clipBounds[n],a=0;3>a;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var s=o(r,this);if(s.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;3>n;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=s.projections[n],this._pickShader.uniforms.clipBounds=s.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(s.showContour){var l=this._contourPickShader;l.bind(),l.uniforms=r;var c=this._contourVAO;for(c.bind(),a=0;3>a;++a)for(e.lineWidth(this.contourWidth[a]),l.uniforms.permutation=I[a],n=0;nn;++n)for(l.uniforms.model=s.projections[n],l.uniforms.clipBounds=s.clipBounds[n],a=0;3>a;++a)if(this.contourProject[n][a]){l.uniforms.permutation=I[a],e.lineWidth(this.contourWidth[a]);for(var u=0;u>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;2>u;++u)for(var f=u?a:1-a,h=0;2>h;++h)for(var d=h?l:1-l,p=i+u,g=s+h,v=f*d,m=0;3>m;++m)c[m]+=this._field[m].get(p,g)*v;for(var y=this._pickResult.level,b=0;3>b;++b)if(y[b]=M.le(this.contourLevels[b],c[b]),y[b]<0)this.contourLevels[b].length>0&&(y[b]=0);else if(y[b]Math.abs(_-c[b])&&(y[b]+=1)}for(r.index[0]=.5>a?i:i+1,r.index[1]=.5>l?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],m=0;3>m;++m)r.dataCoordinate[m]=this._field[m].get(r.index[0],r.index[1]);return r},j.update=function(t){t=t||{},this.dirty=!0,"contourWidth"in t&&(this.contourWidth=c(t.contourWidth,Number)),"showContour"in t&&(this.showContour=c(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=c(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=f(t.contourColor)),"contourProject"in t&&(this.contourProject=c(t.contourProject,function(t){return c(t,Boolean)})),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=f(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=c(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=c(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"colorBounds"in t&&(this.colorBounds=t.colorBounds);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var n=(e.shape[0]+2)*(e.shape[1]+2);n>this._field[2].data.length&&(m.freeFloat(this._field[2].data),this._field[2].data=m.mallocFloat(d.nextPow2(n))),this._field[2]=_(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),l(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;2>o;++o)this._field[2].size>this._field[o].data.length&&(m.freeFloat(this._field[o].data),this._field[o].data=m.mallocFloat(this._field[2].size)),this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var s=t.coords;if(!Array.isArray(s)||3!==s.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;2>o;++o){var u=s[o];for(y=0;2>y;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");l(this._field[o],u)}}else if(t.ticks){var h=t.ticks;if(!Array.isArray(h)||2!==h.length)throw new Error("gl-surface: invalid ticks");for(o=0;2>o;++o){var p=h[o];if((Array.isArray(p)||p.length)&&(p=_(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var g=_(p.data,a);g.stride[o]=p.stride[0],g.stride[1^o]=0,l(this._field[o],g)}}else{for(o=0;2>o;++o){var v=[0,0];v[o]=1,this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;yo;++o)T(x.pick(o),b[o],"mirror");var k=_(m.mallocFloat(3*b[2].size),[a[0]+2,a[1]+2,3]);for(o=0;oI?(I=Math.max(Math.abs(z),Math.abs(P),Math.abs(R)),1e-8>I?(R=1,P=z=0,I=1):I=1/I):I=1/Math.sqrt(I),k.set(o,y,0,z*I),k.set(o,y,1,P*I),k.set(o,y,2,R*I)}m.free(x.data);var N=[1/0,1/0,1/0],j=[-(1/0),-(1/0),-(1/0)],F=1/0,B=-(1/0),D=(a[0]-1)*(a[1]-1)*6,U=m.mallocFloat(d.nextPow2(10*D)),V=0,q=0;for(o=0;oH;++H)for(var G=0;2>G;++G)for(var Y=0;3>Y;++Y){var X=this._field[Y].get(1+o+H,1+y+G);if(isNaN(X)||!isFinite(X))continue t}for(Y=0;6>Y;++Y){var W=o+O[Y][0],Z=y+O[Y][1],K=this._field[0].get(W+1,Z+1),Q=this._field[1].get(W+1,Z+1);X=this._field[2].get(W+1,Z+1);var $=X;z=k.get(W+1,Z+1,0),P=k.get(W+1,Z+1,1),R=k.get(W+1,Z+1,2),t.intensity&&($=t.intensity.get(W,Z)),U[V++]=W,U[V++]=Z,U[V++]=K,U[V++]=Q,U[V++]=X,U[V++]=0,U[V++]=$,U[V++]=z,U[V++]=P,U[V++]=R,N[0]=Math.min(N[0],K),N[1]=Math.min(N[1],Q),N[2]=Math.min(N[2],X),F=Math.min(F,$),j[0]=Math.max(j[0],K),j[1]=Math.max(j[1],Q),j[2]=Math.max(j[2],X),B=Math.max(B,$),q+=1}}for(t.intensityBounds&&(F=+t.intensityBounds[0],B=+t.intensityBounds[1]),o=6;V>o;o+=10)U[o]=(U[o]-F)/(B-F);this._vertexCount=q,this._coordinateBuffer.update(U.subarray(0,V)),m.freeFloat(U),m.free(k.data),this.bounds=[N,j],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===F&&this.intensityBounds[1]===B||(r=!0),this.intensityBounds=[F,B]}if("levels"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;3>o;++o)J[o]=J[o].slice(),J.sort(function(t,e){return t-e});t:for(o=0;3>o;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;yet;++et){J=this.contourLevels[et];var rt=[],nt=[],it=[0,0,0];for(o=0;oY;++Y){var st=at.positions[ot[Y]],lt=st[0],ct=0|Math.floor(lt),ut=lt-ct,ft=st[1],ht=0|Math.floor(ft),dt=ft-ht,pt=!1;e:for(var gt=0;3>gt;++gt){it[gt]=0;var vt=(et+gt+1)%3;for(H=0;2>H;++H){var mt=H?ut:1-ut;for(W=0|Math.min(Math.max(ct+H,0),a[0]),G=0;2>G;++G){var yt=G?dt:1-dt;if(Z=0|Math.min(Math.max(ht+G,0),a[1]),X=2>gt?this._field[vt].get(W,Z):(this.intensity.get(W,Z)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(X)||isNaN(X)){pt=!0;break e}var bt=mt*yt;it[gt]+=bt*X}}}if(pt){if(Y>0){for(var xt=0;5>xt;++xt)tt.pop();q-=1}continue t}tt.push(it[0],it[1],st[0],st[1],it[2]),q+=1}}nt.push(q)}this._contourOffsets[et]=rt,this._contourCounts[et]=nt}var _t=m.mallocFloat(tt.length);for(o=0;ot;++t)m.freeFloat(this._field[t].data)},j.highlight=function(t){if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(var e=0;3>e;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;var r;if(r=this.snapToData?t.dataCoordinate:t.position,this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=m.mallocFloat(12*i[0]*i[1]),o=0;3>o;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var s=(o+1)%3,l=(o+2)%3,c=this._field[o],u=this._field[s],f=this._field[l],h=(this.intensity,w(c,r[o])),d=h.cells,p=h.positions;for(this._dynamicOffsets[o]=n,e=0;ev;++v){var y=p[g[v]],b=+y[0],x=0|b,_=0|Math.min(x+1,i[0]),k=b-x,A=1-k,M=+y[1],T=0|M,E=0|Math.min(T+1,i[1]),L=M-T,S=1-L,C=A*S,z=A*L,P=k*S,R=k*L,O=C*u.get(x,T)+z*u.get(x,E)+P*u.get(_,T)+R*u.get(_,E),I=C*f.get(x,T)+z*f.get(x,E)+P*f.get(_,T)+R*f.get(_,E);if(isNaN(O)||isNaN(I)){v&&(n-=1);break}a[2*n+0]=O,a[2*n+1]=I,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),m.freeFloat(a)}}},{"./lib/shaders":176,"binary-search-bounds":47,"bit-twiddle":48,colormap:73,"gl-buffer":107,"gl-mat4/invert":128,"gl-mat4/multiply":130,"gl-texture2d":178,"gl-vao":182,ndarray:225,"ndarray-gradient":216,"ndarray-ops":219,"ndarray-pack":220,"surface-nets":273,"typedarray-pool":282}],178:[function(t,e,r){"use strict";function n(t){v=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],m=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],y=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function i(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(0>e||e>i||0>r||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function a(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}function o(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function s(t,e,r,n,i,a,s,l){var c=l.dtype,u=l.shape.slice();if(u.length<2||u.length>3)throw new Error("gl-texture2d: Invalid ndarray, must be 2d or 3d");var f=0,h=0,v=o(u,l.stride.slice());"float32"===c?f=t.FLOAT:"float64"===c?(f=t.FLOAT,v=!1,c="float32"):"uint8"===c?f=t.UNSIGNED_BYTE:(f=t.UNSIGNED_BYTE,v=!1,c="uint8");var m=1;if(2===u.length)h=t.LUMINANCE,u=[u[0],u[1],1],l=d(l.data,u,[l.stride[0],l.stride[1],1],l.offset);else{if(3!==u.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===u[2])h=t.ALPHA;else if(2===u[2])h=t.LUMINANCE_ALPHA;else if(3===u[2])h=t.RGB;else{if(4!==u[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");h=t.RGBA}m=u[2]}if(h!==t.LUMINANCE&&h!==t.ALPHA||i!==t.LUMINANCE&&i!==t.ALPHA||(h=i),h!==i)throw new Error("gl-texture2d: Incompatible texture format for setPixels");var y=l.size,x=s.indexOf(n)<0;if(x&&s.push(n),f===a&&v)0===l.offset&&l.data.length===y?x?t.texImage2D(t.TEXTURE_2D,n,i,u[0],u[1],0,i,a,l.data):t.texSubImage2D(t.TEXTURE_2D,n,e,r,u[0],u[1],i,a,l.data):x?t.texImage2D(t.TEXTURE_2D,n,i,u[0],u[1],0,i,a,l.data.subarray(l.offset,l.offset+y)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,u[0],u[1],i,a,l.data.subarray(l.offset,l.offset+y));else{var _;_=a===t.FLOAT?g.mallocFloat32(y):g.mallocUint8(y);var w=d(_,u,[u[2],u[2]*u[0],1]);f===t.FLOAT&&a===t.UNSIGNED_BYTE?b(w,l):p.assign(w,l),x?t.texImage2D(t.TEXTURE_2D,n,i,u[0],u[1],0,i,a,_.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,u[0],u[1],i,a,_.subarray(0,y)),a===t.FLOAT?g.freeFloat32(_):g.freeUint8(_)}}function l(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function c(t,e,r,n,i){var o=t.getParameter(t.MAX_TEXTURE_SIZE);if(0>e||e>o||0>r||r>o)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var s=l(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new a(t,s,e,r,n,i)}function u(t,e,r,n){var i=l(t);return t.texImage2D(t.TEXTURE_2D,0,r,r,n,e),new a(t,i,0|e.width,0|e.height,r,n)}function f(t,e){var r=e.dtype,n=e.shape.slice(),i=t.getParameter(t.MAX_TEXTURE_SIZE);if(n[0]<0||n[0]>i||n[1]<0||n[1]>i)throw new Error("gl-texture2d: Invalid texture size");var s=o(n,e.stride.slice()),c=0;"float32"===r?c=t.FLOAT:"float64"===r?(c=t.FLOAT,s=!1,r="float32"):"uint8"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,s=!1,r="uint8");var u=0;if(2===n.length)u=t.LUMINANCE,n=[n[0],n[1],1],e=d(e.data,n,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==n.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===n[2])u=t.ALPHA;else if(2===n[2])u=t.LUMINANCE_ALPHA;else if(3===n[2])u=t.RGB;else{if(4!==n[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");u=t.RGBA}}c!==t.FLOAT||t.getExtension("OES_texture_float")||(c=t.UNSIGNED_BYTE,s=!1);var f,h,v=e.size;if(s)f=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var m=[n[2],n[2]*n[0],1];h=g.malloc(v,r);var y=d(h,n,m,0);"float32"!==r&&"float64"!==r||c!==t.UNSIGNED_BYTE?p.assign(y,e):b(y,e),f=h.subarray(0,v)}var x=l(t);return t.texImage2D(t.TEXTURE_2D,0,u,n[0],n[1],0,u,c,f),s||g.free(h),new a(t,x,n[0],n[1],u,c)}function h(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");if(v||n(t),"number"==typeof arguments[1])return c(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return c(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1];if(e instanceof HTMLCanvasElement||e instanceof HTMLImageElement||e instanceof HTMLVideoElement||e instanceof ImageData)return u(t,e,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return f(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")}var d=t("ndarray"),p=t("ndarray-ops"),g=t("typedarray-pool");e.exports=h;var v=null,m=null,y=null,b=function(t,e){p.muls(t,e,255)},x=a.prototype;Object.defineProperties(x,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&v.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),m.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&v.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),m.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),y.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),y.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;2>e;++e)if(y.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return 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r&&("setBackground"===t&&"opaque"===e[t]?r[t]=i:r[t]=e[t])}),e.plot3dPixelRatio&&!r.plotGlPixelRatio&&(r.plotGlPixelRatio=r.plot3dPixelRatio)),r.staticPlot&&(r.editable=!1,r.autosizable=!1,r.scrollZoom=!1,r.doubleClick=!1,r.showTips=!1,r.showLink=!1,r.displayModeBar=!1)}function o(t,e,r){var n=S.select(t).selectAll(".plot-container").data([0]);n.enter().insert("div",":first-child").classed("plot-container plotly",!0);var i=n.selectAll(".svg-container").data([0]);i.enter().append("div").classed("svg-container",!0).style("position","relative"),i.html(""),e&&(t.data=e),r&&(t.layout=r),P.micropolar.manager.fillLayout(t),"initial"===t._fullLayout.autosize&&t._context.autosizable&&(w(t,{}),t._fullLayout.autosize=r.autosize=!0),i.style({width:t._fullLayout.width+"px",height:t._fullLayout.height+"px"}),t.framework=P.micropolar.manager.framework(t),t.framework({data:t.data,layout:t.layout},i.node()),t.framework.setUndoPoint();var a=t.framework.svg(),o=1,s=t._fullLayout.title;""!==s&&s||(o=0);var l="Click to enter title",c=function(){this.call(P.util.convertToTspans)},u=a.select(".title-group text").call(c);if(t._context.editable){u.attr({"data-unformatted":s}),s&&s!==l||(o=.2,u.attr({"data-unformatted":l}).text(l).style({opacity:o}).on("mouseover.opacity",function(){S.select(this).transition().duration(100).style("opacity",1)}).on("mouseout.opacity",function(){S.select(this).transition().duration(1e3).style("opacity",0)}));var f=function(){this.call(P.util.makeEditable).on("edit",function(e){t.framework({layout:{title:e}}),this.attr({"data-unformatted":e}).text(e).call(c),this.call(f)}).on("cancel",function(){var t=this.attr("data-unformatted");this.text(t).call(c)})};u.call(f)}return t._context.setBackground(t,t._fullLayout.paper_bgcolor),N.addLinks(t),Promise.resolve()}function s(t){var e,r;t||(t={}),t.xaxis1&&(t.xaxis||(t.xaxis=t.xaxis1),delete t.xaxis1),t.yaxis1&&(t.yaxis||(t.yaxis=t.yaxis1),delete t.yaxis1);var n=P.Axes.list({_fullLayout:t});for(e=0;ee;e++){var o=t.annotations[e];o.ref&&("paper"===o.ref?(o.xref="paper",o.yref="paper"):"data"===o.ref&&(o.xref="x",o.yref="y"),delete o.ref),l(o,"xref"),l(o,"yref")}void 0===t.shapes||Array.isArray(t.shapes)||(console.log("shapes must be an array"),delete t.shapes);var s=(t.shapes||[]).length;for(e=0;s>e;e++){var c=t.shapes[e];l(c,"xref"),l(c,"yref")}var u=t.legend;u&&(u.x>3?(u.x=1.02,u.xanchor="left"):u.x<-2&&(u.x=-.02,u.xanchor="right"),u.y>3?(u.y=1.02,u.yanchor="bottom"):u.y<-2&&(u.y=-.02,u.yanchor="top")),"rotate"===t.dragmode&&(t.dragmode="orbit"),t.scene1&&(t.scene||(t.scene=t.scene1),delete t.scene1);var h=N.getSubplotIds(t,"gl3d");for(e=0;er;++r)b[r]=v[e]+m*y[2+4*r];d.camera={eye:{x:b[0],y:b[1],z:b[2]},center:{x:v[0],y:v[1],z:v[2]},up:{x:y[1],y:y[5],z:y[9]}},delete d.cameraposition}}return R.markTime("finished rest of cleanLayout, starting color"),F.clean(t),R.markTime("finished cleanLayout color.clean"),t}function l(t,e){var r=t[e],n=e.charAt(0);r&&"paper"!==r&&(t[e]=P.Axes.cleanId(r,n))}function c(t,e){for(var r=[],n=(t.concat(Array.isArray(e)?e:[]).filter(function(t){return"uid"in t}).map(function(t){return t.uid})),i=0;ia&&(s=R.randstr(n),-1!==r.indexOf(s));a++);o.uid=R.randstr(n),n.push(o.uid)}if(r.push(o.uid),"histogramy"===o.type&&"xbins"in o&&!("ybins"in o)&&(o.ybins=o.xbins,delete o.xbins),o.error_y&&"opacity"in o.error_y){var l=F.defaults,c=o.error_y.color||(N.traceIs(o,"bar")?F.defaultLine:l[i%l.length]);o.error_y.color=F.addOpacity(F.rgb(c),F.opacity(c)*o.error_y.opacity),delete o.error_y.opacity}if("bardir"in o&&("h"!==o.bardir||!N.traceIs(o,"bar")&&"histogram"!==o.type.substr(0,9)||(o.orientation="h",x(o)),delete o.bardir),"histogramy"===o.type&&x(o),"histogramx"!==o.type&&"histogramy"!==o.type||(o.type="histogram"),"scl"in o&&(o.colorscale=o.scl,delete o.scl),"reversescl"in o&&(o.reversescale=o.reversescl,delete o.reversescl),o.xaxis&&(o.xaxis=P.Axes.cleanId(o.xaxis,"x")),o.yaxis&&(o.yaxis=P.Axes.cleanId(o.yaxis,"y")),N.traceIs(o,"gl3d")&&o.scene&&(o.scene=N.subplotsRegistry.gl3d.cleanId(o.scene)),N.traceIs(o,"pie")||(Array.isArray(o.textposition)?o.textposition=o.textposition.map(u):o.textposition&&(o.textposition=u(o.textposition))),N.traceIs(o,"2dMap")&&("YIGnBu"===o.colorscale&&(o.colorscale="YlGnBu"),"YIOrRd"===o.colorscale&&(o.colorscale="YlOrRd")),N.traceIs(o,"markerColorscale")&&o.marker){var h=o.marker;"YIGnBu"===h.colorscale&&(h.colorscale="YlGnBu"),"YIOrRd"===h.colorscale&&(h.colorscale="YlOrRd")}if("surface"===o.type&&R.isPlainObject(o.contours)){var d=["x","y","z"];for(a=0;an?a.push(i+n):a.push(n);return a}function p(t,e,r){var n,i;for(n=0;n=t.data.length||i<-t.data.length)throw new Error(r+" must be valid indices for gd.data.");if(e.indexOf(i,n+1)>-1||i>=0&&e.indexOf(-t.data.length+i)>-1||0>i&&e.indexOf(t.data.length+i)>-1)throw new Error("each index in "+r+" must be 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e=S.select(t),r=t._fullLayout;if(r._hasGL3D&&N.subplotsRegistry.gl3d.initAxes(t),r._container=e.selectAll(".plot-container").data([0]),r._container.enter().insert("div",":first-child").classed("plot-container",!0).classed("plotly",!0),r._paperdiv=r._container.selectAll(".svg-container").data([0]),r._paperdiv.enter().append("div").classed("svg-container",!0).style("position","relative"),"initial"===r.autosize&&(w(t,{}),r.autosize=!0,t.layout.autosize=!0),r._glcontainer=r._paperdiv.selectAll(".gl-container").data([0]),r._glcontainer.enter().append("div").classed("gl-container",!0),r._geocontainer=r._paperdiv.selectAll(".geo-container").data([0]),r._geocontainer.enter().append("div").classed("geo-container",!0),r._paperdiv.selectAll(".main-svg").remove(),r._paper=r._paperdiv.insert("svg",":first-child").classed("main-svg",!0),r._toppaper=r._paperdiv.append("svg").classed("main-svg",!0),!r._uid){ +var n=[];S.selectAll("defs").each(function(){this.id&&n.push(this.id.split("-")[1])}),r._uid=R.randstr(n)}r._paperdiv.selectAll(".main-svg").attr(X.svgAttrs),r._defs=r._paper.append("defs").attr("id","defs-"+r._uid),r._topdefs=r._toppaper.append("defs").attr("id","topdefs-"+r._uid),r._draggers=r._paper.append("g").classed("draglayer",!0);var i=r._paper.append("g").classed("layer-below",!0);r._shapeLowerLayer=i.append("g").classed("shapelayer",!0);var a=P.Axes.getSubplots(t);a.join("")!==Object.keys(t._fullLayout._plots||{}).join("")&&A(t,a),r._hasCartesian&&M(t,a),r._ternarylayer=r._paper.append("g").classed("ternarylayer",!0),r._subplotShapeLayer=r._paper.selectAll(".shapelayer-subplot");var o=r._paper.append("g").classed("layer-above",!0);r._shapeUpperLayer=o.append("g").classed("shapelayer",!0),r._pielayer=r._paper.append("g").classed("pielayer",!0),r._glimages=r._paper.append("g").classed("glimages",!0),r._geoimages=r._paper.append("g").classed("geoimages",!0),r._infolayer=r._toppaper.append("g").classed("infolayer",!0),r._zoomlayer=r._toppaper.append("g").classed("zoomlayer",!0),r._hoverlayer=r._toppaper.append("g").classed("hoverlayer",!0),t.emit("plotly_framework");var s=R.syncOrAsync([T,function(){return P.Axes.doTicks(t,"redraw")},j.init],t);return s&&s.then&&t._promises.push(s),s}function A(t,e){function r(e,r){return function(){return P.Axes.getFromId(t,e,r)}}for(var n,i,a=t._fullLayout._plots={},o=0;o0,_=P.Axes.getSubplots(t).join(""),w=Object.keys(t._fullLayout._plots||{}).join(""),A=w===_;x?t.framework===k&&!b&&A||(t.framework=k,k(t)):A?b&&k(t):(t.framework=k,k(t)),b&&P.Axes.saveRangeInitial(t);var M=t._fullLayout,E=!t.calcdata||t.calcdata.length!==(t.data||[]).length;E&&h(t);for(var L=0;LG.range[0]?[1,2]:[2,1]);else{var X=G.range[0],W=G.range[1];"log"===O?(0>=X&&0>=W&&i(V+".autorange",!0),0>=X?X=W/1e6:0>=W&&(W=X/1e6),i(V+".range[0]",Math.log(X)/Math.LN10),i(V+".range[1]",Math.log(W)/Math.LN10)):(i(V+".range[0]",Math.pow(10,X)),i(V+".range[1]",Math.pow(10,W)))}else i(V+".autorange",!0)}if("reverse"===B)q.range?q.range.reverse():(i(V+".autorange",!0),q.range=[1,0]),H.autorange?_=!0:x=!0;else if("annotations"===z.parts[0]||"shapes"===z.parts[0]){var Z=z.parts[1],K=z.parts[0],Q=p[K]||[],$=P[R.titleCase(K)],J=Q[Z]||{};2===z.parts.length&&("add"===v[C]||R.isPlainObject(v[C])?E[C]="remove":"remove"===v[C]?-1===Z?(E[K]=Q,delete E[C]):E[C]=J:console.log("???",v)),!a(J,"x")&&!a(J,"y")||R.containsAny(C,["color","opacity","align","dash"])||(_=!0),$.draw(t,Z,z.parts.slice(2).join("."),v[C]),delete v[C]}else 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n=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),l=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],c=0,u=t.clientWidth,f=t.clientHeight,h={keyBindingMode:"rotate",view:n,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:n.modes,tick:function(){var e=i(),r=this.delay,a=e-2*r;n.idle(e-r),n.recalcMatrix(a),n.flush(e-(100+2*r));for(var o=!0,s=n.computedMatrix,h=0;16>h;++h)o=o&&l[h]===s[h],l[h]=s[h];var d=t.clientWidth===u&&t.clientHeight===f;return u=t.clientWidth,f=t.clientHeight,o?!d:(c=Math.exp(n.computedRadius[0]),!0)},lookAt:function(t,e,r){n.lookAt(n.lastT(),t,e,r)},rotate:function(t,e,r){n.rotate(n.lastT(),t,e,r)},pan:function(t,e,r){n.pan(n.lastT(),t,e,r)},translate:function(t,e,r){n.translate(n.lastT(),t,e,r)}};Object.defineProperties(h,{matrix:{get:function(){return n.computedMatrix},set:function(t){return 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i=t("right-now"),a=t("3d-view"),o=t("mouse-change"),s=t("mouse-wheel")},{"3d-view":21,"mouse-change":211,"mouse-wheel":213,"right-now":247}],428:[function(t,e,r){"use strict";var n=t("./scene"),i=t("../plots"),a=["xaxis","yaxis","zaxis"];r.name="gl3d",r.attr="scene",r.idRoot="scene",r.idRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attrRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attributes=t("./layout/attributes"),r.layoutAttributes=t("./layout/layout_attributes"),r.supplyLayoutDefaults=t("./layout/defaults"),r.plot=function(t){var e=t._fullLayout,r=t._fullData,a=i.getSubplotIds(e,"gl3d");e._paperdiv.style({width:e.width+"px",height:e.height+"px"}),t._context.setBackground(t,e.paper_bgcolor);for(var o=0;ol;++l){var c=a[l],u=s[c];u._gd=t}}},{"../plots":441,"./layout/attributes":429,"./layout/defaults":433,"./layout/layout_attributes":434,"./scene":438,"./set_convert":439}],429:[function(t,e,r){"use strict";e.exports={scene:{valType:"subplotid",dflt:"scene"}}},{}],430:[function(t,e,r){"use strict";var n=t("../../../components/color"),i=t("../../cartesian/layout_attributes"),a=t("../../../lib/extend").extendFlat;e.exports={showspikes:{valType:"boolean",dflt:!0},spikesides:{valType:"boolean",dflt:!0},spikethickness:{valType:"number",min:0,dflt:2},spikecolor:{valType:"color",dflt:n.defaultLine},showbackground:{valType:"boolean",dflt:!1},backgroundcolor:{valType:"color",dflt:"rgba(204, 204, 204, 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n&&(e.gridWidth[r]=n.gridwidth),"log"===n.type?e.zeroEnable[r]=!1:"zeroline"in n&&(e.zeroEnable[r]=n.zeroline),"zerolinecolor"in n&&(e.zeroLineColor[r]=s(n.zerolinecolor)),"zerolinewidth"in n&&(e.zeroLineWidth[r]=n.zerolinewidth),"ticks"in n&&n.ticks?e.lineTickEnable[r]=!0:e.lineTickEnable[r]=!1,"ticklen"in n&&(e.lineTickLength[r]=e._defaultLineTickLength[r]=n.ticklen),"tickcolor"in n&&(e.lineTickColor[r]=s(n.tickcolor)),"tickwidth"in n&&(e.lineTickWidth[r]=n.tickwidth),"tickangle"in n&&(e.tickAngle[r]="auto"===n.tickangle?0:Math.PI*-n.tickangle/180),"showticklabels"in n&&(e.tickEnable[r]=n.showticklabels),"tickfont"in n&&(n.tickfont.color&&(e.tickColor[r]=s(n.tickfont.color)),n.tickfont.family&&(e.tickFont[r]=n.tickfont.family),n.tickfont.size&&(e.tickSize[r]=n.tickfont.size)),"mirror"in 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f=i[s[u]];if(f._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(f._length)===1/0)c[u]=[];else{f.range[0]=r[u].lo/t.dataScale[u],f.range[1]=r[u].hi/t.dataScale[u],f._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),f.range[0]===f.range[1]&&(f.range[0]-=1,f.range[1]+=1);var h=f.tickmode;if("auto"===f.tickmode){f.tickmode="linear";var d=f.nticks||a.Lib.constrain(f._length/40,4,9);a.Axes.autoTicks(f,Math.abs(f.range[1]-f.range[0])/d)}for(var p=a.Axes.calcTicks(f),g=0;gu;++u){l[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]);for(var g=0;2>g;++g)e.bounds[g][u]=t.glplot.bounds[g][u]}t.contourLevels=n(c)}e.exports=i;var a=t("../../../plotly"),o=t("../../../lib/html2unicode"),s=["xaxis","yaxis","zaxis"],l=[0,0,0]},{"../../../lib/html2unicode":371,"../../../plotly":390}],437:[function(t,e,r){"use strict";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;4>r;++r)for(n=0;4>n;++n)i[n]+=t[4*r+n]*e[r];return i}function i(t,e){var r=n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])));return r}e.exports=i},{}],438:[function(t,e,r){"use strict";function n(t){function e(e,r){if("string"==typeof r)return r;var n=t.fullSceneLayout[e];return d.tickText(n,n.c2l(r),"hover").text}var r=t.svgContainer,n=t.container.getBoundingClientRect(),i=n.width,a=n.height;r.setAttributeNS(null,"viewBox","0 0 "+i+" "+a),r.setAttributeNS(null,"width",i),r.setAttributeNS(null,"height",a),w(t),t.glplot.axes.update(t.axesOptions);for(var o=Object.keys(t.traces),s=null,l=t.glplot.selection,c=0;ca;++a){var u=l[A[a]];b(u)}t?Array.isArray(t)||(t=[t]):t=[];for(var f=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],a=0;ao;++o)f[0][o]>f[1][o]?d[o]=1:f[1][o]===f[0][o]?d[o]=1:d[o]=1/(f[1][o]-f[0][o]);this.dataScale=d;for(var a=0;aa;++a){var u=l[A[a]],_=u.type;if(_ in x?(x[_].acc*=d[a],x[_].count+=1):x[_]={acc:d[a],count:1},u.autorange){for(m[0][a]=1/0,m[1][a]=-(1/0),o=0;om[1][a])m[0][a]=-1,m[1][a]=1;else{var k=m[1][a]-m[0][a];m[0][a]-=k/32,m[1][a]+=k/32}}else{var M=l[A[a]].range;m[0][a]=M[0],m[1][a]=M[1]}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),y[a]=m[1][a]-m[0][a],this.glplot.bounds[0][a]=m[0][a]*d[a],this.glplot.bounds[1][a]=m[1][a]*d[a]}for(var T=[1,1,1],a=0;3>a;++a){var u=l[A[a]],_=u.type,E=x[_];T[a]=Math.pow(E.acc,1/E.count)/d[a]}var L,S=4;if("auto"===l.aspectmode)L=Math.max.apply(null,T)/Math.min.apply(null,T)<=S?T:[1,1,1];else if("cube"===l.aspectmode)L=[1,1,1];else if("data"===l.aspectmode)L=T;else{if("manual"!==l.aspectmode)throw new Error("scene.js aspectRatio was not one of the enumerated types");var C=l.aspectratio;L=[C.x,C.y,C.z]}l.aspectratio.x=c.aspectratio.x=L[0],l.aspectratio.y=c.aspectratio.y=L[1],l.aspectratio.z=c.aspectratio.z=L[2],this.glplot.aspect=L;var z=l.domain||null,P=e._size||null;if(z&&P){var R=this.container.style;R.position="absolute",R.left=P.l+z.x[0]*P.w+"px",R.top=P.t+(1-z.y[1])*P.h+"px",R.width=P.w*(z.x[1]-z.x[0])+"px",R.height=P.h*(z.y[1]-z.y[0])+"px"}this.glplot.redraw()}},k.destroy=function(){this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null},k.setCameraToDefault=function(){this.setCamera({eye:{x:1.25,y:1.25,z:1.25},center:{x:0,y:0,z:0},up:{x:0,y:0,z:1}})},k.getCamera=function(){this.glplot.camera.view.recalcMatrix(this.camera.view.lastT()); +var t=this.glplot.camera.up,e=this.glplot.camera.center,r=this.glplot.camera.eye;return{up:{x:t[0],y:t[1],z:t[2]},center:{x:e[0],y:e[1],z:e[2]},eye:{x:r[0],y:r[1],z:r[2]}}},k.setCamera=function(t){function e(t){return[[t.eye.x,t.eye.y,t.eye.z],[t.center.x,t.center.y,t.center.z],[t.up.x,t.up.y,t.up.z]]}var r={};r[this.id]=t,this.glplot.camera.lookAt.apply(this,e(t)),this.graphDiv.emit("plotly_relayout",r)},k.saveCamera=function(t){function e(t,e,r,n){var i=["up","center","eye"],a=["x","y","z"];return t[i[r]][a[n]]===e[i[r]][a[n]]}var r=this.getCamera(),n=f.nestedProperty(t,this.id+".camera"),i=n.get(),a=!1;if(void 0===i)a=!0;else for(var o=0;3>o;o++)for(var s=0;3>s;s++)if(!e(r,i,o,s)){a=!0;break}return a&&n.set(r),a},k.updateFx=function(t,e){var r=this.camera;r&&("orbit"===t?(r.mode="orbit",r.keyBindingMode="rotate"):"turntable"===t?(r.up=[0,0,1],r.mode="turntable",r.keyBindingMode="rotate"):r.keyBindingMode=t),this.fullSceneLayout.hovermode=e},k.toImage=function(t){t||(t="png"),this.staticMode&&this.container.appendChild(l),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,n=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*n*4);e.readPixels(0,0,r,n,e.RGBA,e.UNSIGNED_BYTE,i);for(var a=0,o=n-1;o>a;++a,--o)for(var s=0;r>s;++s)for(var c=0;4>c;++c){var u=i[4*(r*a+s)+c];i[4*(r*a+s)+c]=i[4*(r*o+s)+c],i[4*(r*o+s)+c]=u}var f=document.createElement("canvas");f.width=r,f.height=n;var h=f.getContext("2d"),d=h.createImageData(r,n);d.data.set(i),h.putImageData(d,0,0);var p;switch(t){case"jpeg":p=f.toDataURL("image/jpeg");break;case"webp":p=f.toDataURL("image/webp");break;default:p=f.toDataURL("image/png")}return this.staticMode&&this.container.removeChild(l),p},e.exports=a},{"../../lib":372,"../../lib/show_no_webgl_msg":381,"../../lib/str2rgbarray":383,"../../plots/cartesian/axes":393,"../../plots/cartesian/graph_interact":400,"../../plots/plots":441,"./camera":427,"./layout/convert":432,"./layout/spikes":435,"./layout/tick_marks":436,"./project":437,"./set_convert":439,"gl-plot3d":151}],439:[function(t,e,r){"use strict";var n=t("../cartesian/axes"),i=function(){};e.exports=function(t){n.setConvert(t),t.setScale=i}},{"../cartesian/axes":393}],440:[function(t,e,r){"use strict";var n=t("../plotly"),i=t("./font_attributes"),a=t("../components/color/attributes"),o=n.Lib.extendFlat;e.exports={font:{family:o({},i.family,{dflt:'"Open Sans", verdana, arial, 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i=k+o.pxmid[0]*e.rCenter+(e.x||0),s=A+o.pxmid[1]*e.rCenter+(e.y||0);e.outside&&(o.yLabelMin=s-r.height/2,o.yLabelMid=s,o.yLabelMax=s+r.height/2,o.labelExtraX=0,o.labelExtraY=0,m=!0),t.attr("transform","translate("+i+","+s+")"+(e.scale<1?"scale("+e.scale+")":"")+(e.rotate?"rotate("+e.rotate+")":"")+"translate("+-(r.left+r.right)/2+","+-(r.top+r.bottom)/2+")")})}),m&&o(l,v),s.each(function(t){if(t.labelExtraX||t.labelExtraY){var e=u.select(this),r=e.select("g.slicetext text");r.attr("transform","translate("+t.labelExtraX+","+t.labelExtraY+")"+r.attr("transform"));var n=t.cxFinal+t.pxmid[0],i=t.cyFinal+t.pxmid[1],a="M"+n+","+i,o=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var s=t.labelExtraX*t.pxmid[1]/t.pxmid[0],l=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);a+=Math.abs(s)>Math.abs(l)?"l"+l*t.pxmid[0]/t.pxmid[1]+","+l+"H"+(n+t.labelExtraX+o):"l"+t.labelExtraX+","+s+"v"+(l-s)+"h"+o}else 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f=s(c.colorscale),h=c.color,d=c.cmin,p=c.cmax;i(d)||(d=a.aggNums(Math.min,null,h)),i(p)||(p=a.aggNums(Math.max,null,h));var g=e[0].t.cb=l(t,u);g.fillcolor(n.scale.linear().domain(f.map(function(t){return d+t[0]*(p-d)})).range(f.map(function(t){return t[1]}))).filllevels({start:d,end:p,size:(p-d)/254}).options(c.colorbar)(),a.markTime("done colorbar")}},{"../../components/colorbar/draw":300,"../../components/colorscale/get_scale":308,"../../lib":372,"../../plots/plots":441,d3:87,"fast-isnumeric":95}],544:[function(t,e,r){"use strict";e.exports={PTS_LINESONLY:20}},{}],545:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("./constants"),o=t("./subtypes"),s=t("./xy_defaults"),l=t("./marker_defaults"),c=t("./line_defaults"),u=t("./line_shape_defaults"),f=t("./text_defaults"),h=t("./fillcolor_defaults"),d=t("../../components/errorbars/defaults");e.exports=function(t,e,r,p){function g(r,a){return n.coerce(t,e,i,r,a)}var v=s(t,e,g),m=vi(f))break;l=f,y=g[0]*p[0]+g[1]*p[1],y>v?(v=y,c=f,d=!1):m>y&&(m=y,u=f,d=!0)}if(d?(C[z++]=c,l!==u&&(C[z++]=u)):(u!==s&&(C[z++]=u),l!==c&&(C[z++]=c)),C[z++]=l,o>=t.length||!f)break;C[z++]=f,s=f}}else C[z++]=c}E.push(C.slice(0,z))}return E}},{"../../plots/cartesian/axes":393}],552:[function(t,e,r){"use strict";e.exports=function(t,e,r){var n=r("line.shape");"spline"===n&&r("line.smoothing")}},{}],553:[function(t,e,r){"use strict";var n=t("fast-isnumeric");e.exports=function(t){var e=t.marker,r=e.sizeref||1,i=e.sizemin||0,a="area"===e.sizemode?function(t){return Math.sqrt(t/r)}:function(t){return t/r};return function(t){var e=a(t/2);return n(e)&&e>0?Math.max(e,i):0}}},{"fast-isnumeric":95}],554:[function(t,e,r){"use strict";var n=t("../../components/colorscale/has_colorscale"),i=t("../../components/colorscale/calc"),a=t("./subtypes");e.exports=function(t){if(a.hasMarkers(t)){var e=t.marker;n(t,"marker")&&i(t,e.color,"marker","c"),n(t,"marker.line")&&i(t,e.line.color,"marker.line","c")}}},{"../../components/colorscale/calc":304,"../../components/colorscale/has_colorscale":309,"./subtypes":559}],555:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../components/colorscale/has_colorscale"),a=t("../../components/colorscale/defaults"),o=t("./subtypes");e.exports=function(t,e,r,s,l){var c,u=o.isBubble(t),f=(t.line||{}).color;f&&(r=f),l("marker.symbol"),l("marker.opacity",u?.7:1),l("marker.size"),l("marker.color",r),i(t,"marker")&&a(t,e,s,l,{prefix:"marker.",cLetter:"c"}),c=f&&e.marker.color!==f?f:u?n.background:n.defaultLine,l("marker.line.color",c),i(t,"marker.line")&&a(t,e,s,l,{prefix:"marker.line.",cLetter:"c"}),l("marker.line.width",u?1:0),u&&(l("marker.sizeref"),l("marker.sizemin"),l("marker.sizemode"))}},{"../../components/color":297,"../../components/colorscale/defaults":306,"../../components/colorscale/has_colorscale":309,"./subtypes":559}],556:[function(t,e,r){"use strict";function n(t,e,r){var n=e.x(),a=e.y(),o=i.extent(n.range.map(n.l2c)),s=i.extent(a.range.map(a.l2c));r.forEach(function(t,e){var n=t[0].trace;if(l.hasMarkers(n)){var i=n.marker.maxdisplayed;if(0!==i){var a=t.filter(function(t){return t.x>=o[0]&&t.x<=o[1]&&t.y>=s[0]&&t.y<=s[1]}),c=Math.ceil(a.length/i),u=0;r.forEach(function(t,r){var 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d=t("gl-line3d"),p=t("gl-scatter3d"),g=t("gl-error3d"),v=t("gl-mesh3d"),m=t("delaunay-triangulate"),y=t("../../lib"),b=t("../../lib/str2rgbarray"),x=t("../../lib/gl_format_color"),_=t("../scatter/make_bubble_size_func"),w=t("../../constants/gl3d_dashes"),k=t("../../constants/gl_markers"),A=t("./calc_errors"),M=n.prototype;M.handlePick=function(t){if(t.object&&(t.object===this.linePlot||t.object===this.delaunayMesh||t.object===this.textMarkers||t.object===this.scatterPlot)){t.object.highlight&&t.object.highlight(null),this.scatterPlot&&(t.object=this.scatterPlot,this.scatterPlot.highlight(t.data)),this.textLabels&&void 0!==this.textLabels[t.data.index]?t.textLabel=this.textLabels[t.data.index]:t.textLabel="";var e=t.data.index;return t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]],!0}},M.update=function(t){var e,r,n,a,o=this.scene.glplot.gl,s=w.solid;this.data=t;var l=u(this.scene,t);"mode"in l&&(this.mode=l.mode),"lineDashes"in l&&l.lineDashes in w&&(s=w[l.lineDashes]),this.color=f(l.scatterColor)||f(l.lineColor),this.dataPoints=l.position,e={gl:o,position:l.position,color:l.lineColor,lineWidth:l.lineWidth||1,dashes:s[0],dashScale:s[1],opacity:t.opacity,connectGaps:t.connectgaps},-1!==this.mode.indexOf("lines")?this.linePlot?this.linePlot.update(e):(this.linePlot=d(e),this.scene.glplot.add(this.linePlot)):this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose(),this.linePlot=null);var c=t.opacity;if(t.marker&&t.marker.opacity&&(c*=t.marker.opacity),r={gl:o,position:l.position,color:l.scatterColor,size:l.scatterSize,glyph:l.scatterMarker,opacity:c,orthographic:!0,lineWidth:l.scatterLineWidth,lineColor:l.scatterLineColor,project:l.project,projectScale:l.projectScale,projectOpacity:l.projectOpacity},-1!==this.mode.indexOf("markers")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=p(r),this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),a={gl:o,position:l.position,glyph:l.text,color:l.textColor,size:l.textSize,angle:l.textAngle,alignment:l.textOffset,font:l.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=l.text,-1!==this.mode.indexOf("text")?this.textMarkers?this.textMarkers.update(a):(this.textMarkers=p(a),this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),n={gl:o,position:l.position,color:l.errorColor,error:l.errorBounds,lineWidth:l.errorLineWidth,capSize:l.errorCapSize,opacity:t.opacity},this.errorBars?l.errorBounds?this.errorBars.update(n):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):l.errorBounds&&(this.errorBars=g(n),this.scene.glplot.add(this.errorBars)),l.delaunayAxis>=0){var h=i(l.position,l.delaunayColor,l.delaunayAxis);h.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(h):(h.gl=o,this.delaunayMesh=v(h),this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)},M.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())},e.exports=h},{"../../constants/gl3d_dashes":358,"../../constants/gl_markers":359,"../../lib":372,"../../lib/gl_format_color":370,"../../lib/str2rgbarray":383,"../scatter/make_bubble_size_func":553,"./calc_errors":564,"delaunay-triangulate":88,"gl-error3d":112,"gl-line3d":119,"gl-mesh3d":142,"gl-scatter3d":162}],566:[function(t,e,r){"use strict";function n(t,e,r){var n=0,i=r("x"),a=r("y"),o=r("z");return i&&a&&o&&(n=Math.min(i.length,a.length,o.length),n=0&&h("surfacecolor",p||g);for(var v=["x","y","z"],m=0;3>m;++m){var y="projection."+v[m];h(y+".show")&&(h(y+".opacity"),h(y+".scale"))}c(t,e,r,{axis:"z"}),c(t,e,r,{axis:"y",inherit:"z"}),c(t,e,r,{axis:"x",inherit:"z"})}},{"../../components/errorbars/defaults":324,"../../lib":372,"../scatter/line_defaults":550,"../scatter/marker_defaults":555,"../scatter/subtypes":559,"../scatter/text_defaults":560,"./attributes":562}],567:[function(t,e,r){"use strict";var n={};n.plot=t("./convert"),n.attributes=t("./attributes"),n.markerSymbols=t("../../constants/gl_markers"),n.supplyDefaults=t("./defaults"),n.colorbar=t("../scatter/colorbar"),n.calc=t("./calc"),n.moduleType="trace",n.name="scatter3d",n.basePlotModule=t("../../plots/gl3d"),n.categories=["gl3d","symbols","markerColorscale","showLegend"],n.meta={},e.exports=n},{"../../constants/gl_markers":359,"../../plots/gl3d":428,"../scatter/colorbar":543,"./attributes":562,"./calc":563,"./convert":565,"./defaults":566}],568:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../plots/attributes"),a=t("../../lib/extend").extendFlat,o=n.marker,s=n.line,l=o.line;e.exports={lon:{valType:"data_array"},lat:{valType:"data_array"},locations:{valType:"data_array"},locationmode:{valType:"enumerated",values:["ISO-3","USA-states","country names"],dflt:"ISO-3"},mode:a({},n.mode,{dflt:"markers"}),text:a({},n.text,{}),line:{color:s.color,width:s.width,dash:s.dash},marker:{symbol:o.symbol,opacity:o.opacity,size:o.size,sizeref:o.sizeref,sizemin:o.sizemin,sizemode:o.sizemode,color:o.color,colorscale:o.colorscale,cauto:o.cauto,cmax:o.cmax,cmin:o.cmin,autocolorscale:o.autocolorscale,reversescale:o.reversescale,showscale:o.showscale,line:{color:l.color,width:l.width,colorscale:l.colorscale,cauto:l.cauto,cmax:l.cmax,cmin:l.cmin,autocolorscale:l.autocolorscale,reversescale:l.reversescale}},textfont:n.textfont,textposition:n.textposition,hoverinfo:a({},i.hoverinfo,{flags:["lon","lat","location","text","name"]}),_nestedModules:{"marker.colorbar":"Colorbar"}}},{"../../lib/extend":367,"../../plots/attributes":391,"../scatter/attributes":540}],569:[function(t,e,r){"use strict";var n=t("../scatter/marker_colorscale_calc");e.exports=function(t,e){var r=[{x:!1,y:!1,trace:e,t:{}}];return n(e),r}},{"../scatter/marker_colorscale_calc":554}],570:[function(t,e,r){"use strict";function n(t,e,r){var n,i,a=0,o=r("locations");return o?(r("locationmode"),a=o.length):(n=r("lon")||[],i=r("lat")||[],a=Math.min(n.length,i.length),an;n++)r[n]=[t.lon[n],t.lat[n]];return{type:"LineString",coordinates:r,trace:t}}function a(t,e){function r(e){var r=t.mockAxis;return c.tickText(r,r.c2l(e),"hover").text+"\xb0"}var n=e.hoverinfo;if("none"===n)return function(t){delete t.textLabel};var i="all"===n?v.hoverinfo.flags:n.split("+"),a=-1!==i.indexOf("location")&&Array.isArray(e.locations),o=-1!==i.indexOf("lon"),s=-1!==i.indexOf("lat"),l=-1!==i.indexOf("text");return function(t){var n=[];a?n.push(t.location):o&&s?n.push("("+r(t.lon)+", "+r(t.lat)+")"):o?n.push("lon: "+r(t.lon)):s&&n.push("lat: "+r(t.lat)),l&&n.push(t.tx||e.text),t.textLabel=n.join("
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r=t.framework.select(".scattergeolayer").selectAll("g.trace.scattergeo").data(e,function(t){return t.uid});r.enter().append("g").attr("class","trace scattergeo"),r.exit().remove(),r.selectAll("*").remove(),r.each(function(t){var e=s.select(this);g.hasLines(t)&&e.selectAll("path.js-line").data([i(t)]).enter().append("path").classed("js-line",!0)}),r.each(function(e){function r(r,n){if(t.showHover){var i=t.projection([r.lon,r.lat]);h(r),l.loneHover({x:i[0],y:i[1],name:v?e.name:void 0,text:r.textLabel,color:r.mc||(e.marker||{}).color},{container:t.hoverContainer.node()}),y=d(r,n),t.graphDiv.emit("plotly_hover",y)}}function n(e,r){t.graphDiv.emit("plotly_click",d(e,r))}var i=s.select(this),c=g.hasMarkers(e),u=g.hasText(e);if(c||u){var f=m.calcGeoJSON(e,t.topojson),h=a(t,e),d=o(e),p=e.hoverinfo,v="all"===p||-1!==p.indexOf("name"),y=null;c&&i.selectAll("path.point").data(f).enter().append("path").classed("point",!0).on("mouseover",r).on("click",n).on("mouseout",function(){l.loneUnhover(t.hoverContainer),t.graphDiv.emit("plotly_unhover",y)}).on("mousedown",function(){l.loneUnhover(t.hoverContainer)}).on("mouseup",r),u&&i.selectAll("g").data(f).enter().append("g").append("text")}}),m.style(t)},m.style=function(t){var e=t.framework.selectAll("g.trace.scattergeo");e.style("opacity",function(t){return t.opacity}),e.each(function(t){s.select(this).selectAll("path.point").call(p.pointStyle,t),s.select(this).selectAll("text").call(p.textPointStyle,t)}),e.selectAll("path.js-line").style("fill","none").each(function(t){var e=t.trace,r=e.line||{};s.select(this).call(d.stroke,r.color).call(p.dashLine,r.dash||"",r.width||0)})}},{"../../components/color":297,"../../components/drawing":319,"../../lib/array_to_calc_item":363,"../../lib/geo_location_utils":369,"../../lib/topojson_utils":385,"../../plots/cartesian/axes":393,"../../plots/cartesian/graph_interact":400,"../scatter/subtypes":559,"./attributes":568,d3:87}],573:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../constants/gl2d_dashes"),a=t("../../constants/gl_markers"),o=t("../../lib/extend").extendFlat,s=n.line,l=n.marker,c=l.line;e.exports={x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,text:o({},n.text,{}),mode:{valType:"flaglist",flags:["lines","markers"],extras:["none"]},line:{color:s.color,width:s.width,dash:{valType:"enumerated",values:Object.keys(i),dflt:"solid"}},marker:{color:l.color,symbol:{valType:"enumerated",values:Object.keys(a),dflt:"circle",arrayOk:!0},size:l.size,sizeref:l.sizeref,sizemin:l.sizemin,sizemode:l.sizemode,opacity:l.opacity,colorscale:l.colorscale,cauto:l.cauto,cmax:l.cmax,cmin:l.cmin,autocolorscale:l.autocolorscale,reversescale:l.reversescale,showscale:l.showscale,line:{color:c.color,width:c.width,colorscale:c.colorscale,cauto:c.cauto,cmax:c.cmax,cmin:c.cmin,autocolorscale:c.autocolorscale,reversescale:c.reversescale}},fill:o({},n.fill,{values:["none","tozeroy","tozerox"]}),fillcolor:n.fillcolor,_nestedModules:{error_x:"ErrorBars",error_y:"ErrorBars","marker.colorbar":"Colorbar"}}},{"../../constants/gl2d_dashes":357,"../../constants/gl_markers":359,"../../lib/extend":367,"../scatter/attributes":540}],574:[function(t,e,r){"use 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e,r,n,a,o,l,u,f,h=this.scene,d=h.xaxis,p=h.yaxis,g=this.bounds,v=this.xData=d.makeCalcdata(t,"x"),m=this.yData=p.makeCalcdata(t,"y"),b=y.calcFromTrace(t,h.fullLayout),x=v.length,_=new Array(x),k=new Float32Array(2*x),A=new Float32Array(4*x),M=new Float32Array(4*x),T=0,E=0,S=0,z=0,P="log"===d.type?function(t){return d.d2l(t)}:function(t){return t},R="log"===p.type?function(t){return p.d2l(t)}:function(t){return t};for(e=0;x>e;++e)n=P(v[e]),a=R(m[e]),isNaN(n)||isNaN(a)||(_[T++]=e,k[E++]=n,k[E++]=a,o=A[S++]=n-b[e].xs||0,l=A[S++]=b[e].xh-n||0,A[S++]=0,A[S++]=0,M[z++]=0,M[z++]=0,u=M[z++]=a-b[e].ys||0,f=M[z++]=b[e].yh-a||0,g[0]=Math.min(g[0],n-o),g[1]=Math.min(g[1],a-u),g[2]=Math.max(g[2],n+l),g[3]=Math.max(g[3],a+f));k=c(k,E),this.idToIndex=_,this.updateLines(t,k),this.updateError("X",t,k,A),this.updateError("Y",t,k,M);var O;if(this.hasMarkers){this.scatterOptions.positions=k,this.scatterOptions.sizes=new Array(T),this.scatterOptions.glyphs=new Array(T),this.scatterOptions.borderWidths=new 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i=t[n];"_"!==n.charAt(0)&&("transforms"===n?i.forEach(function(t,i){r=r.concat(a(t,e+n+"["+i+"]."))}):o.isPlainObject(i)?r=r.concat(a(i,e+n+".")):Array.isArray(i)&&r.push(e+n))}),r}var o=t("../../../../src/lib");r.moduleType="transform",r.name="filter",r.attributes={operation:{valType:"enumerated",values:["=","<",">"],dflt:"="},value:{valType:"number",dflt:0},filtersrc:{valType:"enumerated",values:["x","y"],dflt:"x"}},r.supplyDefaults=function(t,e,n){function i(e,n){return o.coerce(t,a,r.attributes,e,n)}var a={};return i("operation"),i("value"),i("filtersrc"),a},r.transform=function(t,e){var r=t.map(function(t){return n(t,e)});return r}},{"../../../../src/lib":372}],592:[function(t,e,r){"use strict";function n(t,e){for(var r=e.transform,n=r.groups,a=n.filter(function(t,e,r){return r.indexOf(t)===e}),o=new Array(a.length),s=Math.min(t.x.length,t.y.length,n.length),l=0;lf;f++)n[f]===c&&(u.x.push(t.x[f]),u.y.push(t.y[f]));u.name=c,u.marker.color=r.groupColors[c]}return o}var i=t("../../../../src/lib");r.moduleType="transform",r.name="groupby",r.attributes={active:{valType:"boolean",dflt:!0},groups:{valType:"data_array",dflt:[]},groupColors:{valType:"any",dflt:{}}},r.supplyDefaults=function(t,e,n){function a(e,n){return i.coerce(t,o,r.attributes,e,n)}var o={},s=a("active");return s?(a("groups"),a("groupColors"),o):o},r.transform=function(t,e){var r=[];return t.forEach(function(t){r=r.concat(n(t,e))}),r}},{"../../../../src/lib":372}]},{},[12])(12)}); \ No newline at end of file diff --git a/man/add_chull.Rd b/man/add_chull.Rd new file mode 100644 index 0000000000..2aed49d33c --- /dev/null +++ b/man/add_chull.Rd @@ -0,0 +1,14 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/add.R +\name{add_chull} +\alias{add_chull} +\usage{ +add_chull(p, ...) +} +\examples{ + +x <- rnorm(10) +plot_ly(x = ~x) \%>\% + add_chull() +} + diff --git a/man/add_polygons.Rd b/man/add_polygons.Rd new file mode 100644 index 0000000000..44cbb77c9a --- /dev/null +++ b/man/add_polygons.Rd @@ -0,0 +1,17 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/add.R +\name{add_polygons} +\alias{add_polygons} +\usage{ +add_polygons(p, ...) +} +\examples{ + +library(dplyr) +data(canada.cities, package = "maps") +canada.cities \%>\% + group_by(name) \%>\% + plot_ly(x = ~long, y = ~lat) \%>\% + add_points() +} + diff --git a/man/group2NA.Rd b/man/group2NA.Rd index 19e37adbb4..52ed2ef3b7 100644 --- a/man/group2NA.Rd +++ b/man/group2NA.Rd @@ -1,9 +1,12 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/dplyr.R +% Please edit documentation in R/dplyr.R, R/plotly_data.R \name{group2NA} \alias{group2NA} \title{Insert missing values to create trace groupings} \usage{ +group2NA(data, groupNames = "group", nested = NULL, + retrace.first = inherits(data, "GeomPolygon")) + group2NA(data, groupNames = "group", nested = NULL, retrace.first = inherits(data, "GeomPolygon")) } @@ -15,10 +18,25 @@ group2NA(data, groupNames = "group", nested = NULL, \item{nested}{other variables that group should be nested (i.e., ordered) within.} +\item{retrace.first}{should the first row of each group be appended to the +last row? This is useful for enclosing polygons with lines.} + +\item{data}{a data frame.} + +\item{groupNames}{name(s) of the grouping variable(s) as a character vector} + +\item{nested}{other variables that group should be nested +(i.e., ordered) within.} + \item{retrace.first}{should the first row of each group be appended to the last row? This is useful for enclosing polygons with lines.} } \description{ +If a group of traces share the same non-positional characteristics (i.e., +color, fill, etc), it is more efficient to draw them as a single trace +with missing values that separate the groups (instead of multiple traces). +This is a helper function for inserting missing values into a data set + If a group of traces share the same non-positional characteristics (i.e., color, fill, etc), it is more efficient to draw them as a single trace with missing values that separate the groups (instead of multiple traces). @@ -28,5 +46,8 @@ This is a helper function for inserting missing values into a data set elong <- tidyr::gather(economics, variable, value, -date) plot_ly(group2NA(elong, "variable"), x = ~date, y = ~value) +elong <- tidyr::gather(economics, variable, value, -date) +plot_ly(group2NA(elong, "variable"), x = ~date, y = ~value) + } diff --git a/man/plot_ly.Rd b/man/plot_ly.Rd index da2c63ffea..a550c2eb92 100644 --- a/man/plot_ly.Rd +++ b/man/plot_ly.Rd @@ -5,8 +5,7 @@ \title{Initiate a plotly visualization} \usage{ plot_ly(data = data.frame(), ..., type = NULL, color, colors, symbol, - symbols, size, width = NULL, height = NULL, inherit = FALSE, - source = "A") + symbols, size, width = NULL, height = NULL, source = "A") } \arguments{ \item{data}{A data frame (optional).} @@ -33,8 +32,6 @@ or a color interpolation function like \code{colorRamp()}.} \item{height}{Height in pixels (optional, defaults to automatic sizing).} -\item{inherit}{logical. Should future traces inherit properties from this initial trace?} - \item{source}{Only relevant for \link{event_data}.} } \description{ diff --git a/man/plotly-data.Rd b/man/plotly-data.Rd index a55ae3a7a0..18dae2a24d 100644 --- a/man/plotly-data.Rd +++ b/man/plotly-data.Rd @@ -18,7 +18,7 @@ \usage{ groups.plotly(x) -group_by_.plotly(.data, ..., .dots, add = FALSE) +\method{group_by_}{plotly}(.data, ..., .dots, add = FALSE) ungroup.plotly(x) @@ -26,13 +26,13 @@ summarise_.plotly(.data, ..., .dots) mutate_.plotly(.data, ..., .dots) -arrange_.plotly(.data, ..., .dots) +\method{arrange_}{plotly}(.data, ..., .dots) select_.plotly(.data, ..., .dots) filter_.plotly(.data, ..., .dots) -distinct_.plotly(.data, ..., .dots) +\method{distinct_}{plotly}(.data, ..., .dots) slice_.plotly(.data, ..., .dots) diff --git a/man/plotly_data.Rd b/man/plotly_data.Rd new file mode 100644 index 0000000000..cd415daaa8 --- /dev/null +++ b/man/plotly_data.Rd @@ -0,0 +1,69 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/plotly_data.R +\name{plotly_data} +\alias{arrange_.plotly} +\alias{distinct_.plotly} +\alias{filter_.plotly} +\alias{group_by_.plotly} +\alias{groups.plotly} +\alias{mutate_.plotly} +\alias{plotly_data} +\alias{rename_.plotly} +\alias{select_.plotly} +\alias{slice_.plotly} +\alias{summarise_.plotly} +\alias{transmute_.plotly} +\alias{ungroup.plotly} +\title{View and manipulate data associated with a plotly graph} +\usage{ +plotly_data(p, id = p$x$cur_data) + +groups.plotly(x) + +\method{group_by_}{plotly}(.data, ..., .dots, add = FALSE) + +ungroup.plotly(x) + +summarise_.plotly(.data, ..., .dots) + +mutate_.plotly(.data, ..., .dots) + +\method{arrange_}{plotly}(.data, ..., .dots) + +select_.plotly(.data, ..., .dots) + +filter_.plotly(.data, ..., .dots) + +\method{distinct_}{plotly}(.data, ..., .dots) + +slice_.plotly(.data, ..., .dots) + +rename_.plotly(.data, ..., .dots) + +transmute_.plotly(.data, ..., .dots) +} +\description{ +\code{plotly_data()} returns the data associated with +a plotly visualization. This data can be manipulated via +the dplyr and tidyr verbs listed below: +} +\examples{ + +# loading dplyr is super important! +library(dplyr) + +mtcars \%>\% + plot_ly(x = ~wt, y = ~mpg, name = "scatter trace") \%>\% + filter(cyl == 4) \%>\% + add_points(x = ~wt, y = ~mpg, name = "filtered points", + marker = list(color = "red")) + +library(tidyr) +economics \%>\% + gather(variable, value, -date) \%>\% + group_by(variable) \%>\% + plot_ly(x = ~date, y = ~value) + +} +\keyword{internal} + diff --git a/man/plotly_spec.Rd b/man/plotly_spec.Rd index 45172be8ab..62ebcf0a6a 100644 --- a/man/plotly_spec.Rd +++ b/man/plotly_spec.Rd @@ -4,14 +4,14 @@ \alias{plotly_spec} \title{Obtain JSON sent to plotly.js} \usage{ -plotly_spec(p = plot_ly(), as = c("plain", "json"), ...) +plotly_spec(p = plot_ly(), as = c("json", "plain"), pretty = TRUE) } \arguments{ \item{p}{a plotly or ggplot object.} \item{as}{in what format should the spec be printed?} -\item{...}{arguments passed onto \code{jsonlite::toJSON}} +\item{pretty}{adds indentation whitespace to JSON output.} } \description{ This function returns the JSON sent to plotly.js which can be useful for From bb839791551caa25909a9c7a5b52d6356af01c5c Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Wed, 1 Jun 2016 13:23:30 +1000 Subject: [PATCH 09/73] error checking for trace attributes --- NAMESPACE | 1 + NEWS | 2 +- R/helpers.R | 12 ++++++++++++ R/plotly.R | 10 +++++++--- R/plotly_build.R | 4 +++- R/sysdata.rda | Bin 202 -> 6381 bytes R/utils.R | 17 +++++++++++++++-- inst/plotlyjs.R | 38 ++++++++++++++++++++++++++++++++------ man/add_polygons.Rd | 11 +++++++---- man/add_trace.Rd | 7 +++++++ man/explain_attrs.Rd | 21 +++++++++++++++++++++ man/plot_ly.Rd | 2 +- man/plotly_empty.Rd | 2 +- man/plotly_spec.Rd | 7 +++++-- 14 files changed, 113 insertions(+), 21 deletions(-) create mode 100644 man/explain_attrs.Rd diff --git a/NAMESPACE b/NAMESPACE index c0001103cf..0855354b5d 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -63,6 +63,7 @@ export(as.widget) export(config) export(embed_notebook) export(event_data) +export(explain_attrs) export(export) export(filter_.plotly) export(geom2trace) diff --git a/NEWS b/NEWS index 7a04124a35..b414ff3434 100644 --- a/NEWS +++ b/NEWS @@ -12,7 +12,7 @@ Traces created via `add_trace()` (or, more generally, by any `add_*()` function) NEW FEATURES & IMPROVEMENTS: -* Error checking for trace types and their attributes. +* Error checking for trace types and their attributes. Also added a `show_attributes()` function to obtain information about trace attributes. * New `add_points()`/`add_lines()`/`add_text()` functions provide a shorthand for common plots. * New `toWebGL()` function for easy conversion from SVG to WebGL. * New `export()` function makes it easy to save plots as png/jpeg/pdf (fixes #311). diff --git a/R/helpers.R b/R/helpers.R index 4cdb343b94..bd38322611 100644 --- a/R/helpers.R +++ b/R/helpers.R @@ -23,6 +23,18 @@ plotly_spec <- function(p = plot_ly(), attr = NULL, as = c("json", "plain"), pre spec } +#' Show information about attribute(s) of a given trace type +#' +#' @export +#' @param type a trace type +#' @param attrs attributes for the race type +#' @examples +#' +#' explain_attrs() +explain_attrs <- function(type = "scatter", attrs = c("x", "y")) { + jsonlite::toJSON(verify_attrs(type, attrs), pretty = TRUE) +} + #' Convert trace types to WebGL #' diff --git a/R/plotly.R b/R/plotly.R index 164e3a1c34..af01211cf1 100644 --- a/R/plotly.R +++ b/R/plotly.R @@ -58,21 +58,25 @@ plot_ly <- function(data = data.frame(), ..., type = NULL, width = NULL, height = NULL, source = "A") { # "native" plotly arguments argz <- list(...) - # old arguments to this function that are no longer supported + # warn about old arguments that are no longer supported for (i in c("filename", "fileopt", "world_readable")) { if (is.null(argz[[i]])) next warning("Ignoring ", i, ". Use plotly_POST() if you want to post figures to plotly.") + argz[[i]] <- NULL } if (!is.null(argz[["group"]])) { warning("The group argument has been deprecated. Use group_by() instead.") + argz[["group"]] <- NULL } if (!is.null(argz[["inherit"]])) { warning("The inherit argument has been deprecated.") + argz[["inherit"]] <- NULL } - # if type is NULL, return the default trace type with a message - # if type is invalid, throw an error + # verify trace type and it's attributes argz$type <- verify_type(type) + attrs <- verify_attrs(argz$type, names(argz)) + # tack on "special" arguments argz$color <- verify_arg(color) argz$symbol <- verify_arg(symbol) diff --git a/R/plotly_build.R b/R/plotly_build.R index a31adeabc6..3e9164b62d 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -46,7 +46,7 @@ plotly_build.plotly <- function(p) { # get rid of the data -> layout mapping and merge all the layouts # into a single layout (more recent layouts will override older ones) p$x$layoutAttrs <- NULL - p$x$layout <- modifyList(p$x$layout %||% list(), Reduce(modifyList, layouts)) + p$x$layout <- modifyList(p$x$layout %||% list(), Reduce(modifyList, layouts) %||% list()) dats <- Map(function(x, y) { @@ -82,6 +82,8 @@ plotly_build.plotly <- function(p) { # traces can't have names p$x$data <- setNames(p$x$data, NULL) + + p } diff --git a/R/sysdata.rda b/R/sysdata.rda index a1dff32fa34ac6eeb4bb75f341261e17c582ebe5..5cc5e1bd9eee04290cda22b984b68078659b63d8 100644 GIT binary patch literal 6381 zcmW-lcQ_mB7ss`|y}d@;du!8iTf{D6)$VPt9nvC+m_=g5s$C)64irI&gv4rXiE)Lb zwp%-9jZnLk+M|e(qCfq8&U2n~&hvf$dEdXz_kCdFuA%f79AF7Au&}E=2g#58amLB? zkF)yc>Ca*N0mpsC`+wfQ{~y4Jh>Y1`A(4d}wyL_~S+C+q{1Q{!(!tzAsHR1Dl}lPdpqsx5~lMbpeo_V343z zl)v|nw>i!@uBA$`6rqFw3a4W$<~p!c#WJfLIdtBg6QQmt*jJZ2>`7Y%F#^K&G(8yO zHWe5h1rgOVBsHo};U#S&Gu~>XjH2zk6i?5nK7Z@Fa?_O68hd1X{(EykVWH%qB=383qgdwDaPLv`AADT}UicID+!o1Yt^zh( zhUdeB2>w1k$~InD=IaZ44GZ$qT))S)_a~A?O}wORi*2p+Z2w95Txk6$F+9;|?)-c{ z^y~6eiT5MD@O2C|2;+#e9ghrIx~cT?FVt2whd?e{Wq zDUld8@G2-v@*qv0))%aR_XsYvu7}E5SNf;T>NRQsh8wk(G{#lc?@wQ-J&qgr=HLsX zjBtI^M~4$^^sWcue>l1=Zi}tAy6s0+_OVZ+LUX^PA@kp&Fl8BHUk9R9wkcS^lbe6o z*-ejWp2jpiT|1urFke1lzGc9l94^VbNY~y>7J{d(S*m_Ec{=OPbawmBd)5^?LMutHy$|l30UKgR> zcIPIAo+FU*4H#0%zK=!F?Lt;bJdf*rw)zR#AP0AKUMlcZ2DmErRtXBx;<}z-i=u#@ zfur#Ddr$2E3+;X?eKwC>IrI2bQ;0mK08?ciAj7+~3uQ)CjRy8wM#@!*dW&uZj(%TY zWUP>tFYpu6qp6eO3sdSv!gcdcl?8n9bgC&=x8lFhuan-ckL#$SRQdO^c3u<NPhuuk7_X#>Rh4iK@GBHiHw?9)+N<#wTIX4gszMG zU6G-gj4CWZ&sE*l^_^wY*iB`aTY3z7#8%I7qLy1U=WaxxjA_>9BnZGUK;&udhiM6#ihTf^riQ8J*gwGItwfuW@uL>=f9sjkFXy>~BxRYYe ziiE2zE)Du;`ar&1{e^VNR?{_j?9KReGqVWYP_Oo20za_m;jYA0$C_N5LTP_vz}zls zl%E8A=*dK_>=?R+4K~e8><9;1xi`e`HY$~_Ge1rY4SP+x7Je6nRI3*jjssM123Ajc zY0s75JW!(^&)dbwGO5wWNNRPNI8(9Ade|!-HBMG7gv9;VreWCa8z zwcA&8w$gW9U6iz#yEZyu8+7L&C4zN_vRp6md3s(HLb(;1p)yCX%i8kRxE`=D(nsoU z52YO~Fu(;n4low)IQO#y~v){LF+rJqaeMNX{z8|`!3v)C^j8NN;i!(%$zd=ft z{p2AHL!&8g+w?D~r+NLPwC6eI5(A|@F=h_5mWvCv>$8!nHgM5IzeZ?}X-UAM?<(sa zjO%Ma#=^og|1nLZdghLIw!PC(259!OIfyt>3eEkBv_|YP`eHjEU&?qZzr0UE%!h~V zFPB1h>E??b%H`@o?8B^T#s?hkVxB}KMBCKjAT3R1BO@(WQ@gCpjpElXYG0GpP@N$c zpKV-=7mViZW|$u5lZ_4-d{{ny$9~0IC+XuUB}!JZ$AbOi_YLc%FSVyUN-RAm{NypL zi}KdVA6htAGeeTY+h7Giz+UH8X(9ocjFpdvCKn`QNxcSef&@ObNG17-miLl_~TkipHzw4F4Ap0p!b+n0yKhOJP+!euatZs)-^@XWK9B5Y)Gl2fI>i}DiF~{Mc8y#SsKU2 z2`d5J@v_y$LX1}*Ag)rvcm16$rJv*K+#{o`x%OH>d>_CsEF|tcO5pIMf&PBY`tMPdPAcqT&_oEHQG6V)ASV3vE2*kGJ)N`u$*-jABFG=zT z52}I5h!q{n%nAQ2w^>y^&e*kdA}|_6RFn*7;F=H&oTLh?A7}YNTT;5ee7s~_qd$P; zZ|*^T2Fm7b3CJ+FEZrt$^X5-esUhYo<64sbKgAGG)^Oeb#Z6Myu;eQSjz5_9yBTk? z_Rs#gy16AUfcJ$nqK)yjeoUVnXgB)I(C5VO@Kz-msA<|5J`N*RpSo;2p6Wzk=OeGh zpK!?=VY-`NT)WeHTj~lL4#<6GQ6Q23HzC==!W5i;1Ww&9SWQ29h8MscO^KMroj9W$ z9S4kMS%n>G$o3Q-S93X_<HyrrQ;4 z+Kt5>!a5pReS%Zk?mC3AMIm}|`*M5$i+@UCA!P{_Z-vorZ~0DNIn6qGx$O1G)LCtKbqA@v+ zk=Q{er~k;mI%!j0g2W(ibnRVhVnlq40IpL;4x&Cc69_y>>fw#S#z7AHl%_=Y#A-vj zmRD~FSSNs{04xhmz#a#P(IfrS`p`4TtEdJ@wmo^%D%4sy7Hp;!p=9IqPFbR#PV3kQgq((}zrVKzCf zP|ZHboGt@5t23+UQ1I(b@u7p%*0}}JXT@Z8+8T-;fK{<8MB;l;RYQ8U{3yBJz(q{Jz@(S_;TyW*IdiYG)ljw=Z~yV2NO~>(0KC66pq{l0&kp5Y&*T`RxTkw?i8H<=Dn zTLktCG@sPbOYa~YCLp5<4f#stC+5udXf}zL1kGd#Q@^PN4$3>0d}w_Z0L}BXs0*sD z=~{H*&POR=23p?9yq{m zXi3A2LdQQ{KO=GHd5gr(< z^`tzmojq6JabZeNQ$b>C4j#~>ro~(ys^=Ph#1?zaE>03(yWv?wSceK27&svqskx&9 z3JPl-g%pWs7jB`OL-?r#t$O}!sReNFL|=(BQ=gMA7c8~<9ZQ`xPVIy>&_ zUX+Oj^7?;{JLYmM!#geSM%!oBSK-0ftz$`?F&)^d1c&2s!d7jeF4H;z(|X2rjg`CL z?1+HOkwra?>IrYPEShMfX^!oDjo{dz&m4O;K|7M)&K!4pfxCE-b8YWLSC1Y>t#~0j zb7vKLf!xG;0-JjrYtZ(ut?YXARyS@^Bek18{2;Svh;g84F9<_;#d~tT3_2JtGvs_- zvf3_U&T02k)`gn+$_^r=XfW3i?Ws1P{jT2N=0_Ob_yncugSl`vIjS}V(I*S zW?_?`%?f!5Ttrf!h4t;>3{|6}c{Z>Da^d4qgL-`Gsf;0P!IXbEw!lxx1|&

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Guessing you want a scatter trace") + message("No trace type specified. Guessing you want a 'scatter' trace") type <- "scatter" } if (!is.character(type) || length(type) != 1) { stop("The trace type must be a character vector of length 1.\n", call. = FALSE) } - if (!type %in% traces) { + if (!type %in% names(traces)) { stop("Trace type must be one of the following: \n", "'", paste(traces, collapse = "', '"), "'", call. = FALSE) @@ -61,6 +61,19 @@ verify_type <- function(type = NULL) { type } +verify_attrs <- function(type = NULL, attributes = NULL) { + type <- verify_type(type) + attrs <- traces[[type]]$attributes + idx <- attributes %in% names(attrs) + if (any(!idx)) { + stop( + "The '", type, "' trace type doesn't have attribute(s) named: '", + paste(attributes[!idx], collapse = "', '"), "'", call. = FALSE + ) + } + attrs[attributes] +} + # is a given trace type 3d? is3d <- function(type = NULL) { type <- type %||% "scatter" diff --git a/inst/plotlyjs.R b/inst/plotlyjs.R index 7837c8aafa..81519885af 100644 --- a/inst/plotlyjs.R +++ b/inst/plotlyjs.R @@ -4,12 +4,6 @@ zip <- content(x)$zipball_url tmp <- tempfile(fileext = ".zip") download.file(zip, tmp) unzip(tmp) -# save trace types (mostly for error checking on the R side) -traces <- basename(Sys.glob("plotly-plotly.js*/src/traces/*")) -devtools::use_data(traces, overwrite = TRUE, internal = TRUE) -# TODO: figure out the _required_ properties of each trace type, store them -# as internal R data, and use them to provide error checking - # update the plotly.js bundle p <- Sys.glob("plotly-plotly.js*/dist/plotly.min.js") file.copy(p, "inst/htmlwidgets/lib/plotlyjs/plotly-latest.min.js", overwrite = T) @@ -18,3 +12,35 @@ file.copy(l, "inst/htmlwidgets/lib/plotlyjs/LICENSE", overwrite = T) unlink("plotly-plotly.js*", recursive = T) message("Manually update plotly.yaml with this version") basename(zip) + + + +#' Update plotly's internal traces information +#' +#' Note this script requires RSelenium and phantomjs and shouldn't be +#' run other than package maintainers +#' +#' +#' @param path a path pointing to the source of plotly's R package + +update_attributes <- function(path = ".") { + if (!is.na(Sys.getenv("RSTUDIO", NA))) { + stop("This function must be called outside of RStudio") + } + devtools::load_all(path) + pjs <- RSelenium::phantom() + on.exit(pjs$stop(), add = TRUE) + remDr <- RSelenium::remoteDriver(browserName = "phantomjs") + Sys.sleep(5) + remDr$open(silent = TRUE) + htmlwidgets::saveWidget(plotly::plot_ly(), "index.html") + remDr$navigate(file.path(getwd(), "index.html")) + traces <- remDr$executeScript("return Plotly.PlotSchema.get().traces") + devtools::use_data(traces, overwrite = TRUE, internal = TRUE) +} + + +update_attributes() + + + diff --git a/man/add_polygons.Rd b/man/add_polygons.Rd index 44cbb77c9a..11c2df88be 100644 --- a/man/add_polygons.Rd +++ b/man/add_polygons.Rd @@ -9,9 +9,12 @@ add_polygons(p, ...) library(dplyr) data(canada.cities, package = "maps") -canada.cities \%>\% - group_by(name) \%>\% - plot_ly(x = ~long, y = ~lat) \%>\% - add_points() + +ggplot2::map_data("world", "canada") \%>\% + group_by(group) \%>\% + plot_ly(x = ~long, y = ~lat, hoverinfo = "none") \%>\% + add_points(text = ~paste(name, "
", pop), hoverinfo = "text", + data = canada.cities) \%>\% + layout(showlegend = FALSE) } diff --git a/man/add_trace.Rd b/man/add_trace.Rd index 65a3f9d234..cfca903b13 100644 --- a/man/add_trace.Rd +++ b/man/add_trace.Rd @@ -30,6 +30,13 @@ provided, arguments are evaluated using the data frame in \code{\link{plot_ly}() } \description{ Add a trace to a plotly visualization +} +\examples{ + +p <- plot_ly(economics, x = ~date, y = ~uempmed) +# add a loess smoother +p2 <- add_trace(p, y = ~fitted(loess(uempmed ~ as.numeric(date)))) + } \author{ Carson Sievert diff --git a/man/explain_attrs.Rd b/man/explain_attrs.Rd new file mode 100644 index 0000000000..af8bd62185 --- /dev/null +++ b/man/explain_attrs.Rd @@ -0,0 +1,21 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/helpers.R +\name{explain_attrs} +\alias{explain_attrs} +\title{Show information about attribute(s) of a given trace type} +\usage{ +explain_attrs(type = "scatter", attrs = c("x", "y")) +} +\arguments{ +\item{type}{a trace type} + +\item{attrs}{attributes for the race type} +} +\description{ +Show information about attribute(s) of a given trace type +} +\examples{ + +explain_attrs() +} + diff --git a/man/plot_ly.Rd b/man/plot_ly.Rd index a550c2eb92..903f77d8cb 100644 --- a/man/plot_ly.Rd +++ b/man/plot_ly.Rd @@ -45,7 +45,7 @@ Reference section (see below). \dontrun{ data(economics, package = "ggplot2") # basic time-series plot -p <- plot_ly(economics, x = ~date, y = ~uempmed, inherit = TRUE) +p <- plot_ly(economics, x = ~date, y = ~uempmed) # add a loess smoother p2 <- add_trace(p, y = ~fitted(loess(uempmed ~ as.numeric(date)))) # add a title diff --git a/man/plotly_empty.Rd b/man/plotly_empty.Rd index 0177e2994f..481a37677d 100644 --- a/man/plotly_empty.Rd +++ b/man/plotly_empty.Rd @@ -4,7 +4,7 @@ \alias{plotly_empty} \title{Create a complete empty plotly graph.} \usage{ -plotly_empty() +plotly_empty(...) } \description{ Useful when used with \link{subplot} diff --git a/man/plotly_spec.Rd b/man/plotly_spec.Rd index 62ebcf0a6a..944f46ba7b 100644 --- a/man/plotly_spec.Rd +++ b/man/plotly_spec.Rd @@ -4,11 +4,14 @@ \alias{plotly_spec} \title{Obtain JSON sent to plotly.js} \usage{ -plotly_spec(p = plot_ly(), as = c("json", "plain"), pretty = TRUE) +plotly_spec(p = plot_ly(), attr = NULL, as = c("json", "plain"), + pretty = TRUE) } \arguments{ \item{p}{a plotly or ggplot object.} +\item{attr}{focus on a particular attribute in the spec.} + \item{as}{in what format should the spec be printed?} \item{pretty}{adds indentation whitespace to JSON output.} @@ -19,6 +22,6 @@ debugging. } \examples{ -plotly_spec(plot_ly(), as = "json", pretty = TRUE) +plotly_spec(plot_ly(), "data") } From 7300e8d1a9b23afc60c41cea9a06db83a0c69d29 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Fri, 10 Jun 2016 08:41:37 +1200 Subject: [PATCH 10/73] unlink file when updating plotlyjs attrs --- R/add.R | 2 +- inst/plotlyjs.R | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/R/add.R b/R/add.R index 18924ab073..4da85a6e24 100644 --- a/R/add.R +++ b/R/add.R @@ -105,7 +105,7 @@ add_polygons <- function(p, ...) { #' @export add_ribbons <- function(p, ...) { - # TODO: Should mode='markers+lines'? If so, retrace first points? + # TODO: add ymin, ymax arguments? add_polygons(...) } diff --git a/inst/plotlyjs.R b/inst/plotlyjs.R index 81519885af..6f9d4adb45 100644 --- a/inst/plotlyjs.R +++ b/inst/plotlyjs.R @@ -30,6 +30,7 @@ update_attributes <- function(path = ".") { devtools::load_all(path) pjs <- RSelenium::phantom() on.exit(pjs$stop(), add = TRUE) + on.exit(unlink("index.html"), add = TRUE) remDr <- RSelenium::remoteDriver(browserName = "phantomjs") Sys.sleep(5) remDr$open(silent = TRUE) From 5a4b314fd784a497535fddda96540ef9f9c087ac Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Fri, 10 Jun 2016 11:29:19 +1200 Subject: [PATCH 11/73] fix NEWS version --- NEWS | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/NEWS b/NEWS index 0ec2413f7e..a8a365947b 100644 --- a/NEWS +++ b/NEWS @@ -1,4 +1,4 @@ -3.6.4 -- 31 May 2016 +3.6.5 -- 10 June 2016 IMPROVEMENT: From b546d10f72fa6e369b483b71616f3e3380a5b303 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Fri, 10 Jun 2016 12:08:47 +1200 Subject: [PATCH 12/73] if trace type is missing in add_*(), inherit from first trace --- R/add.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/add.R b/R/add.R index 38e17b69f6..f692def213 100644 --- a/R/add.R +++ b/R/add.R @@ -47,7 +47,7 @@ add_trace <- function(p, ..., # "native" plotly arguments argz <- list(...) - argz$type <- verify_type(argz$type) + argz$type <- verify_type(argz$type %||% p$x$attrs[[1]]$type) if (!is.null(argz[["group"]])) { warning("The group argument has been deprecated. Use group_by() instead.") From 03da3d4b05328de3a28985a138bfad563bca942d Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Fri, 10 Jun 2016 18:14:18 +1200 Subject: [PATCH 13/73] use viridisLite; start thinking about 'transforms' --- DESCRIPTION | 4 ++-- R/plotly_build.R | 33 +++++++++++++++++++++++++-------- 2 files changed, 27 insertions(+), 10 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index d9d4cac287..0504faa5f0 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: plotly Title: Create Interactive Web Graphics via 'plotly.js' -Version: 3.6.5 +Version: 4.0.0 Authors@R: c(person("Carson", "Sievert", role = c("aut", "cre"), email = "cpsievert1@gmail.com"), person("Chris", "Parmer", role = c("aut", "cph"), @@ -27,7 +27,7 @@ Imports: jsonlite, magrittr, digest, - viridis, + viridisLite, base64enc, htmlwidgets, tidyr, diff --git a/R/plotly_build.R b/R/plotly_build.R index 3e9164b62d..a61f620f18 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -56,8 +56,9 @@ plotly_build.plotly <- function(p) { grps <- dplyr::groups(d) # insert missing values to differentiate groups if (length(grps) > 0) { - d <- group2NA(d, as.character(grps)) + d <- group2NA(d, groupNames = as.character(grps)) } + # perform the evaluation for (var in names(fl)) { x[[var]] <- lazyeval::f_eval(fl[[var]], d) varname <- sub("^~", "", deparse2(fl[[var]])) @@ -70,10 +71,28 @@ plotly_build.plotly <- function(p) { } } } + + # create an index for splitting the trace into multiple traces + #discreteVars <- compact(list(if (is.discrete(x$color)) x$color, x$symbol)) + #if (length(discreteVars) > 0) { + # idx <- do.call("interaction", discreteVars) + # lvls <- levels(idx) + # + #} + + + # "transforms" for special arguments + # TODO: let plotly.js handle this logic? + # browser() + + + x[lengths(x) > 0] }, p$x$attrs, names(p$x$attrs)) + # it's possible that somethings, like figures (pulled from a plotly server), + # already have "built" data p$x$data <- c(p$x$data, dats) # get rid of data -> vis mapping stuff @@ -82,8 +101,6 @@ plotly_build.plotly <- function(p) { # traces can't have names p$x$data <- setNames(p$x$data, NULL) - - p } @@ -91,8 +108,8 @@ plotly_build.plotly <- function(p) { colorize <- function(dat, title = "") { cols <- dat[["color"]] %||% dat[["z"]] if (is.numeric(cols)) { - # by default, use viridis::viridis(10) -> http://rud.is/b/2015/07/20/using-the-new-viridis-colormap-in-r-thanks-to-simon-garnier/ - colors <- dat[["colors"]] %||% viridis::viridis(10) + # http://rud.is/b/2015/07/20/using-the-new-viridis-colormap-in-r-thanks-to-simon-garnier/ + colors <- dat[["colors"]] %||% viridisLite::viridis(10) cols <- as.vector(cols) rng <- range(cols, na.rm = TRUE) x <- seq(min(rng), max(rng), length.out = 10) @@ -117,7 +134,7 @@ colorize <- function(dat, title = "") { } else { # discrete color scale lvls <- unique(cols) N <- length(lvls) - default <- if (is.ordered(cols)) viridis::viridis(N) + default <- if (is.ordered(cols)) viridisLite::viridis(N) else RColorBrewer::brewer.pal(N, "Set2") colors <- dat[["colors"]] %||% default colz <- scales::col_factor(colors, levels = lvls, na.color = "transparent")(lvls) @@ -131,7 +148,7 @@ colorize <- function(dat, title = "") { symbolize <- function(dat) { # symbols really only make sense when markers are in the mode, right? - dat$mode <- dat$mode %||% "markers" + dat$mode <- grepl("markers", dat$mode %||% "markers") dat <- traceify(dat, "symbol") dat <- lapply(dat, function(x) { x$symbol <- NULL; x }) N <- length(dat) @@ -144,7 +161,7 @@ symbolize <- function(dat) { # break up a single trace into multiple traces according to values stored # a particular key name -traceify <- function(dat, nm = "group") { +traceify <- function(dat, nm = "color") { x <- dat[[nm]] if (is.null(x)) { return(list(dat)) From 94a87971aa3ed90b795ad838bde20c01cf59e2f1 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Sat, 11 Jun 2016 08:26:22 +1200 Subject: [PATCH 14/73] update intro vignette --- vignettes/intro.Rmd | 36 ++++++++++++++++++------------------ 1 file changed, 18 insertions(+), 18 deletions(-) diff --git a/vignettes/intro.Rmd b/vignettes/intro.Rmd index 15a3c20134..2dbee86595 100644 --- a/vignettes/intro.Rmd +++ b/vignettes/intro.Rmd @@ -89,15 +89,15 @@ The __plotly__ function arguments used thus far are documented in [the figure re If a ordinal variable (aka a non-ordered factor variable) is assigned to color, then a qualitative color palette is used by default. ```{r} -plot_ly(iris, x = Petal.Length, y = Petal.Width, - color = Species, mode = "markers") +plot_ly(iris, x = ~Petal.Length, y = ~Petal.Width, + color = ~Species, mode = "markers") ``` If you want to change the default palette, it's recommended that you provide a qualitative pallette name (e.g., "Set1" or "Accent") to the colors argument. ```{r} -plot_ly(iris, x = Petal.Length, y = Petal.Width, - color = Species, colors = "Set1", mode = "markers") +plot_ly(iris, x = ~Petal.Length, y = ~Petal.Width, + color = ~Species, colors = "Set1", mode = "markers") ``` In this case, the palette consists of 9 colors and the default behavior is to pick colors that are furthest apart ("#E41A1C", "#FF7F00", and "#999999"). @@ -111,8 +111,8 @@ If you'd like more control over the mapping, you can provide a vector of colors ```{r} cols <- RColorBrewer::brewer.pal(nlevels(iris$Species), "Set1") -plot_ly(iris, x = Petal.Length, y = Petal.Width, - color = Species, colors = cols, mode = "markers") +plot_ly(iris, x = ~Petal.Length, y = ~Petal.Width, + color = ~Species, colors = cols, mode = "markers") ``` #### Sequential color mappings @@ -120,22 +120,22 @@ plot_ly(iris, x = Petal.Length, y = Petal.Width, If either a numeric or an ordered factor is mapped to color, `plot_ly()` applies a sequential color scale by default. ```{r} -plot_ly(iris, x = Petal.Length, y = Petal.Width, - color = as.ordered(Species), mode = "markers") +plot_ly(iris, x = ~Petal.Length, y = ~Petal.Width, + color = ~as.ordered(Species), mode = "markers") ``` In the case of continuous numeric variables, `plot_ly()` performs a linear mapping between the data and an interpolated color pallette. ```{r} -plot_ly(iris, x = Petal.Length, y = Petal.Width, - color = Sepal.Length, mode = "markers") +plot_ly(iris, x = ~Petal.Length, y = ~Petal.Width, + color = ~Sepal.Length, mode = "markers") ``` The colors argument takes arbitrary color codes of arbitrary length. Here is how we could use it to replicate the default mapping in ggplot2. ```{r} -plot_ly(iris, x = Petal.Length, y = Petal.Width, - color = Sepal.Length, colors = c("#132B43", "#56B1F7"), +plot_ly(iris, x = ~Petal.Length, y = ~Petal.Width, + color = ~Sepal.Length, colors = c("#132B43", "#56B1F7"), mode = "markers") ``` @@ -144,8 +144,8 @@ plot_ly(iris, x = Petal.Length, y = Petal.Width, To obtain a diverging color mapping, just provide a diverging palette to the colors argument. ```{r} -plot_ly(iris, x = Petal.Length, y = Petal.Width, - color = Sepal.Length, colors = "PuOr", mode = "markers") +plot_ly(iris, x = ~Petal.Length, y = ~Petal.Width, + color = ~Sepal.Length, colors = "PuOr", mode = "markers") ``` ### The symbol argument @@ -153,13 +153,13 @@ plot_ly(iris, x = Petal.Length, y = Petal.Width, To encode values using symbols, use the symbol argument. ```{r} -plot_ly(iris, x = Petal.Length, y = Petal.Width, - symbol = Species, mode = "markers") +plot_ly(iris, x = ~Petal.Length, y = ~Petal.Width, + symbol = ~Species, mode = "markers") ``` To change the default symbols used, use the symbols argument. All the valid symbol types are listed [here](https://plot.ly/r/reference/#marker). ```{r} -plot_ly(iris, x = Petal.Length, y = Petal.Width, mode = "markers", - symbol = Species, symbols = c("cross", "square", "triangle-down")) +plot_ly(iris, x = ~Petal.Length, y = ~Petal.Width, mode = "markers", + symbol = ~Species, symbols = c("cross", "square", "triangle-down")) ``` From 627ead9d85eab44caac5fb2cd2e844d8d46e3052 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Wed, 15 Jun 2016 11:35:23 -0500 Subject: [PATCH 15/73] aesthetic mappings should be plot (not trace) specific; add linetype/linetypes mapping; use entire plot schema for better validation --- NAMESPACE | 6 +- NEWS | 7 +- R/add.R | 89 +++-- R/debug.R | 43 +++ R/dev.R | 39 ++ R/export.R | 2 +- R/helpers.R | 54 --- R/plotly.R | 58 +-- R/plotly_build.R | 334 +++++++++++++----- R/sysdata.rda | Bin 6381 -> 9730 bytes R/utils.R | 91 ++++- .../lib/plotlyjs/plotly-latest.min.js | 78 ++-- inst/plotlyjs.R | 8 +- man/add_chull.Rd | 14 - man/add_lines.Rd | 12 + man/add_points.Rd | 12 + man/add_polygons.Rd | 4 + man/add_ribbons.Rd | 12 + man/add_text.Rd | 12 + man/add_trace.Rd | 2 +- man/explain_attrs.Rd | 2 +- man/plot_ly.Rd | 14 +- man/plotly_empty.Rd | 2 +- man/plotly_json.Rd | 25 ++ man/plotly_spec.Rd | 13 +- man/schema.Rd | 22 ++ man/toWebGL.Rd | 2 +- 27 files changed, 661 insertions(+), 296 deletions(-) create mode 100644 R/debug.R create mode 100644 R/dev.R delete mode 100644 man/add_chull.Rd create mode 100644 man/add_lines.Rd create mode 100644 man/add_points.Rd create mode 100644 man/add_ribbons.Rd create mode 100644 man/add_text.Rd create mode 100644 man/plotly_json.Rd create mode 100644 man/schema.Rd diff --git a/NAMESPACE b/NAMESPACE index 0855354b5d..0e294e6bea 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -48,17 +48,13 @@ S3method(to_basic,GeomViolin) S3method(to_basic,GeomVline) S3method(to_basic,default) export("%>%") -export(add_annotation) -export(add_chull) export(add_data) export(add_lines) export(add_points) export(add_polygons) export(add_ribbons) -export(add_shape) export(add_text) export(add_trace) -export(add_transform) export(as.widget) export(config) export(embed_notebook) @@ -83,9 +79,11 @@ export(plotly_POST) export(plotly_build) export(plotly_data) export(plotly_empty) +export(plotly_json) export(plotly_spec) export(rename_.plotly) export(renderPlotly) +export(schema) export(select_.plotly) export(signup) export(slice_.plotly) diff --git a/NEWS b/NEWS index 3e40c123d8..252cb8a5e1 100644 --- a/NEWS +++ b/NEWS @@ -12,13 +12,17 @@ Traces created via `add_trace()` (or, more generally, by any `add_*()` function) NEW FEATURES & IMPROVEMENTS: -* Error checking for trace types and their attributes. Also added a `show_attributes()` function to obtain information about trace attributes. +* Error checking for trace types and their attributes. Also added a `explain_attrs()` function to obtain information about trace attributes. * New `add_points()`/`add_lines()`/`add_text()` functions provide a shorthand for common plots. * New `toWebGL()` function for easy conversion from SVG to WebGL. * New `export()` function makes it easy to save plots as png/jpeg/pdf (fixes #311). * `layout()` is now a generic function and uses method dispatch to avoid conflicts with `graphics:layout()` (fixes #464). * Added a `plotly_spec()` function for inspecting the data sent to plotly.js (as an R list or JSON). +OTHER CHANGES: + +* Upgraded to plotly.js v1.13.0 -- https://github.com/plotly/plotly.js/releases/tag/v1.13.0 + 3.6.5 -- 10 June 2016 IMPROVEMENT: @@ -36,7 +40,6 @@ embed_notebook() will no longer use a '.embed' extension in the iframe src attri CHANGES: Provided a better way of reexporting magrittr::`%>%`. See #597. ->>>>>>> master 3.6.2 -- 24 May 2016 diff --git a/R/add.R b/R/add.R index f692def213..cb0f230440 100644 --- a/R/add.R +++ b/R/add.R @@ -8,7 +8,10 @@ #' NULL %>% plot_ly() %>% add_data(economics) %>% add_trace(x = ~date, y = ~pce) add_data <- function(p, data = NULL) { if (is.null(data)) return(p) - p <- verify_plot(p) + if (!is.plotly(p)) { + stop("Don't know how to add traces to an object of class: ", + class(p), call. = FALSE) + } id <- new_id() p$x$visdat[[id]] <- function() data p$x$cur_data <- id @@ -42,8 +45,8 @@ add_data <- function(p, data = NULL) { #' p2 <- add_trace(p, y = ~fitted(loess(uempmed ~ as.numeric(date)))) #' add_trace <- function(p, ..., - color, colors = NULL, symbol, symbols = NULL, - size, data = NULL) { + color, colors = NULL, symbol, symbols = NULL, size, + linetype, linetypes = NULL, data = NULL) { # "native" plotly arguments argz <- list(...) @@ -73,21 +76,29 @@ add_trace <- function(p, ..., p } +#' Add points to a plotly vis +#' #' @export add_points <- function(p, ...) { add_trace(p, type = "scatter", mode = "markers", ...) } +#' Add lines to a plotly vis +#' #' @export add_lines <- function(p, ...) { add_trace(p, type = "scatter", mode = "lines", ...) } +#' Add text to a plotly vis +#' #' @export add_text <- function(p, ...) { add_trace(p, type = "scatter", mode = "text", ...) } +#' Add polygons to a plotly vis +#' #' @export #' @examples #' @@ -105,6 +116,10 @@ add_polygons <- function(p, ...) { add_trace(p, type = "scatter", mode = "lines", fill = "toself", ...) } +#' Add ribbons to a plotly vis +#' +#' Ribbons are a special case of polygons. +#' #' @export add_ribbons <- function(p, ...) { # TODO: add ymin, ymax arguments? @@ -112,38 +127,40 @@ add_ribbons <- function(p, ...) { } -#' @export -#' @examples -#' -#' x <- rnorm(10) -#' plot_ly(x = ~x) %>% -#' add_chull() -add_chull <- function(p, ...) { - stop("not yet implemented") - ch <- chull(x, y = NULL) - # TODO: Should mode='markers+lines'? If so, retrace first points? - add_polygons(...) -} - - -# ------------------------------------------------------------------------ -# Non-trace addition -# ------------------------------------------------------------------------ - -#' @export -add_transform <- function(p, ...) { - stop("not yet implemented") -} - - -#' @export -add_shape <- function(p, ...) { - stop("not yet implemented") -} - -#' @export -add_annotation <- function(p, ...) { - stop("not yet implemented") -} +# #' +# #' +# #' @export +# #' @examples +# #' +# #' x <- rnorm(10) +# #' plot_ly(x = ~x) %>% +# #' add_chull() +# add_chull <- function(p, ...) { +# stop("not yet implemented") +# ch <- chull(x, y = NULL) +# # TODO: Should mode='markers+lines'? If so, retrace first points? +# add_polygons(...) +# } + + +## ------------------------------------------------------------------------ +## Non-trace addition +## ------------------------------------------------------------------------ +# +##' @export +#add_transform <- function(p, ...) { +# stop("not yet implemented") +#} +# +# +##' @export +#add_shape <- function(p, ...) { +# stop("not yet implemented") +#} +# +##' @export +#add_annotation <- function(p, ...) { +# stop("not yet implemented") +#} diff --git a/R/debug.R b/R/debug.R new file mode 100644 index 0000000000..89f81eba9c --- /dev/null +++ b/R/debug.R @@ -0,0 +1,43 @@ +#' Obtain JSON sent to plotly.js +#' +#' This function returns the JSON sent to plotly.js which can be useful for +#' debugging. +#' +#' @param p a plotly or ggplot object. +#' @param ... other options passed onto \code{listviewer::jsonedit} +#' @export +#' @examples +#' +#' plotly_spec(plot_ly()) + +plotly_spec <- function(p = plot_ly(), ...) { + if (system.file(package = "listviewer") == "") { + stop("This function requires the listviewer package:\n", + "install.packages('listviewer')", call. = FALSE) + } + listviewer::jsonedit(to_JSON(plotly_build(p)$x), mode = "form", ...) +} + + +#' Display plot schema +#' +#' @export +#' @examples +#' +#' schema() + +schema <- function() { + listviewer::jsonedit(Schema, mode = "form") +} + +#' Show information about attribute(s) of a given trace type +#' +#' @export +#' @param type a trace type +#' @param attrs attributes for the race type +#' @examples +#' +#' explain_attrs() +explain_attrs <- function(type = "scatter", attrs = c("x", "y")) { + jsonlite::toJSON(verify_attrs(type, attrs), pretty = TRUE) +} diff --git a/R/dev.R b/R/dev.R new file mode 100644 index 0000000000..0ed55ca5f8 --- /dev/null +++ b/R/dev.R @@ -0,0 +1,39 @@ +#' Inspect JSON sent to plotly.js +#' +#' This function is useful for obtaining/viewing/debugging JSON +#' sent to plotly.js. +#' +#' @param p a plotly or ggplot object. +#' @param jsonedit use \code{listviewer::jsonedit} to view the JSON? +#' @param ... other options passed onto \code{listviewer::jsonedit} +#' @export +#' @examples +#' +#' plotly_json(plot_ly()) +#' plotly_json(plot_ly(), F) + +plotly_json <- function(p = plot_ly(), jsonedit = interactive(), ...) { + plotlyJSON <- to_JSON(plotly_build(p)$x, pretty = TRUE) + if (jsonedit) { + if (system.file(package = "listviewer") == "") { + stop("This function requires the listviewer package:\n", + "install.packages('listviewer')", call. = FALSE) + } + listviewer::jsonedit(plotlyJSON, mode = "form", ...) + } else { + plotlyJSON + } +} + +#' Display plotly's plot schema +#' +#' The schema contains valid attributes names, their value type, +#' default values (if any), and min/max values (if applicable). +#' +#' @export +#' @examples +#' schema() + +schema <- function() { + listviewer::jsonedit(Schema, mode = "form") +} diff --git a/R/export.R b/R/export.R index 7bafcc6c3a..300976d71b 100644 --- a/R/export.R +++ b/R/export.R @@ -17,7 +17,7 @@ export <- function(p, file = "plotly.png", ...) { } f <- basename(tempfile('plotly', '.', '.html')) on.exit(unlink(f), add = TRUE) - html <- htmlwidgets::saveWidget(plotly_build(p), f) + html <- htmlwidgets::saveWidget(p, f) webshot::webshot(f, file, ...) } diff --git a/R/helpers.R b/R/helpers.R index bd38322611..5850d53d60 100644 --- a/R/helpers.R +++ b/R/helpers.R @@ -1,45 +1,5 @@ -#' Obtain JSON sent to plotly.js -#' -#' This function returns the JSON sent to plotly.js which can be useful for -#' debugging. -#' -#' @param p a plotly or ggplot object. -#' @param attr focus on a particular attribute in the spec. -#' @param as in what format should the spec be printed? -#' @param pretty adds indentation whitespace to JSON output. -#' @export -#' @examples -#' -#' plotly_spec(plot_ly(), "data") - -plotly_spec <- function(p = plot_ly(), attr = NULL, as = c("json", "plain"), pretty = TRUE) { - spec <- plotly_build(p)$x - if (!is.null(attr)) { - spec <- spec[[attr]] - } - if (identical("json", match.arg(as))) { - return(to_JSON(spec, pretty = pretty)) - } - spec -} - -#' Show information about attribute(s) of a given trace type -#' -#' @export -#' @param type a trace type -#' @param attrs attributes for the race type -#' @examples -#' -#' explain_attrs() -explain_attrs <- function(type = "scatter", attrs = c("x", "y")) { - jsonlite::toJSON(verify_attrs(type, attrs), pretty = TRUE) -} - - #' Convert trace types to WebGL #' -#' This function will also build -#' #' @param p a plotly or ggplot object. #' @param warn should a warning be produced if the trace type doesn't have #' a WebGL equivalent? @@ -66,17 +26,3 @@ toWebGL <- function(p, warn = TRUE) { p } - -#' Create a complete empty plotly graph. -#' -#' Useful when used with \link{subplot} -#' -#' @export -plotly_empty <- function(...) { - eaxis <- list( - showticklabels = FALSE, - showgrid = FALSE, - zeroline = FALSE - ) - layout(plot_ly(...), xaxis = eaxis, yaxis = eaxis) -} diff --git a/R/plotly.R b/R/plotly.R index 5db6ea602e..2335182aef 100644 --- a/R/plotly.R +++ b/R/plotly.R @@ -14,8 +14,9 @@ #' or a vector of colors to interpolate in hexadecimal "#RRGGBB" format, #' or a color interpolation function like \code{colorRamp()}. #' @param symbol Either a variable name or a (discrete) vector to use for symbol encoding. -#' @param symbols A character vector of symbol types. Possible values: -#' 'dot', 'cross', 'diamond', 'square', 'triangle-down', 'triangle-left', 'triangle-right', 'triangle-up' +#' @param symbols A character vector of symbol types. For possible values, see \link{schema}. +#' @param linetype Either a variable name or a (discrete) vector to use for linetype encoding. +#' @param linetypes A character vector of line types. For possible values, see \link{schema}. #' @param size A variable name or numeric vector to encode the size of markers. #' @param width Width in pixels (optional, defaults to automatic sizing). #' @param height Height in pixels (optional, defaults to automatic sizing). @@ -38,6 +39,7 @@ #' #' # using the color argument #' plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop, mode = "markers") +#' # smooth gradient between 5 colors #' plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop, #' colors = terrain.colors(5), mode = "markers") #' @@ -47,6 +49,8 @@ #' } #' plot_ly(economics, x = ~unemploy / pop, color = ~decade(date), type = "box") #' +#' plot_ly(economics, x = ~date, y = ~unemploy / pop, linetype = ~decade(date)) +#' #' # sometimes, a data frame isn't fit for the use case... #' # for 3D surface plots, a numeric matrix is more natural #' plot_ly(z = volcano, type = "surface") @@ -55,35 +59,34 @@ #' plot_ly <- function(data = data.frame(), ..., type = NULL, color, colors = NULL, symbol, symbols = NULL, size, + linetype, linetypes = NULL, width = NULL, height = NULL, source = "A") { # "native" plotly arguments - argz <- list(...) + attrs <- list(...) # warn about old arguments that are no longer supported for (i in c("filename", "fileopt", "world_readable")) { - if (is.null(argz[[i]])) next + if (is.null(attrs[[i]])) next warning("Ignoring ", i, ". Use plotly_POST() if you want to post figures to plotly.") - argz[[i]] <- NULL + attrs[[i]] <- NULL } - if (!is.null(argz[["group"]])) { + if (!is.null(attrs[["group"]])) { warning("The group argument has been deprecated. Use group_by() instead.") - argz[["group"]] <- NULL + attrs[["group"]] <- NULL } - if (!is.null(argz[["inherit"]])) { + if (!is.null(attrs[["inherit"]])) { warning("The inherit argument has been deprecated.") - argz[["inherit"]] <- NULL + attrs[["inherit"]] <- NULL } - # verify trace type and it's attributes - argz$type <- verify_type(type) - attrs <- verify_attrs(argz$type, names(argz)) - # tack on "special" arguments - argz$color <- verify_arg(color) - argz$symbol <- verify_arg(symbol) - argz$size <- verify_arg(size) - # TODO: do we really need to verify these? - argz$colors <- colors - argz$symbols <- symbols + attrs$color <- verify_arg(color) + attrs$symbol <- verify_arg(symbol) + attrs$linetype <- verify_arg(linetype) + attrs$size <- verify_arg(size) + + attrs$colors <- colors + attrs$symbols <- symbols + attrs$linetypes <- linetypes # id for tracking attribute mappings and finding the most current data id <- new_id() @@ -92,7 +95,7 @@ plot_ly <- function(data = data.frame(), ..., type = NULL, p <- list( visdat = setNames(list(function() plotlyVisDat), id), cur_data = id, - attrs = setNames(list(argz), id), + attrs = setNames(list(attrs), id), # we always deal with a _list_ of traces and _list_ of layouts # since they can each have different data layout = list( @@ -107,3 +110,18 @@ plot_ly <- function(data = data.frame(), ..., type = NULL, as.widget(p) } + + +#' Create a complete empty plotly graph. +#' +#' Useful when used with \link{subplot} +#' +#' @export +plotly_empty <- function(...) { + eaxis <- list( + showticklabels = FALSE, + showgrid = FALSE, + zeroline = FALSE + ) + layout(plot_ly(...), xaxis = eaxis, yaxis = eaxis) +} diff --git a/R/plotly_build.R b/R/plotly_build.R index a61f620f18..18cedcaa1d 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -42,7 +42,7 @@ plotly_build.plotly <- function(p) { x[lengths(x) > 0] }, p$x$layoutAttrs, names(p$x$layoutAttrs)) - + # get rid of the data -> layout mapping and merge all the layouts # into a single layout (more recent layouts will override older ones) p$x$layoutAttrs <- NULL @@ -72,114 +72,274 @@ plotly_build.plotly <- function(p) { } } - # create an index for splitting the trace into multiple traces - #discreteVars <- compact(list(if (is.discrete(x$color)) x$color, x$symbol)) - #if (length(discreteVars) > 0) { - # idx <- do.call("interaction", discreteVars) - # lvls <- levels(idx) - # - #} - - - # "transforms" for special arguments - # TODO: let plotly.js handle this logic? - # browser() - - + x$type <- verify_type(x$type) x[lengths(x) > 0] - + }, p$x$attrs, names(p$x$attrs)) - # it's possible that somethings, like figures (pulled from a plotly server), + # "transforms" (i.e., apply scaling to) for special arguments + # TODO: should non-formula object names populate titles? + colorTitle <- unlist(lapply(p$x$attrs, "[[", "color"))[[1]] + dats <- mapColor(dats, title = sub("^~", "", deparse2(colorTitle))) + dats <- mapSymbol(dats) + dats <- mapLinetype(dats) + + # traceify by the interaction of discrete variables + traces <- list() + for (i in seq_along(dats)) { + d <- dats[[i]] + params <- list( + if (is.discrete(d[["color"]])) d[["color"]], + d[["symbol"]], + d[["linetype"]] + ) + params <- compact(params) %||% list(NULL) + idx <- do.call("interaction", params) + dats[[i]][["color"]] <- NULL + dats[[i]][["symbol"]] <- NULL + traces <- c(traces, traceify(dats[[i]], idx)) + } + + # it's possible that some things (like figures pulled from a plotly server) # already have "built" data - p$x$data <- c(p$x$data, dats) + p$x$data <- c(p$x$data, traces) # get rid of data -> vis mapping stuff p$x[c("visdat", "cur_data", "attrs")] <- NULL + if (has_legend(p) && has_colorbar(p)) { + # shrink the colorbar + idx <- which(vapply(p$x$data, function(x) inherits(x, "plotly_colorbar"), logical(1))) + p$x$data[[idx]]$marker$colorbar <- modifyList( + p$x$data[[idx]]$marker$colorbar %||% list(), + list(len = 1/2, lenmode = "fraction", y = 1, yanchor = "top") + ) + p$x$layout$legend <- modifyList( + p$x$layout$legend %||% list(), + list(y = 1/2, yanchor = "top") + ) + } + # traces can't have names p$x$data <- setNames(p$x$data, NULL) - p + # verify plot attributes are legal according to the plotly.js spec + # (and box attributes data_array attributes where appropriate) + verify_plot(p) } -# returns a _list of traces_. -colorize <- function(dat, title = "") { - cols <- dat[["color"]] %||% dat[["z"]] - if (is.numeric(cols)) { - # http://rud.is/b/2015/07/20/using-the-new-viridis-colormap-in-r-thanks-to-simon-garnier/ - colors <- dat[["colors"]] %||% viridisLite::viridis(10) - cols <- as.vector(cols) - rng <- range(cols, na.rm = TRUE) - x <- seq(min(rng), max(rng), length.out = 10) - colz <- scales::col_numeric(colors, rng, na.color = "transparent")(x) - df <- if (length(cols) > 1) data.frame(scales::rescale(x), colz) - else data.frame(c(0, 1), rep(colz, 2)) - col_list <- list( - colorbar = list(title = as.character(title)), - colorscale = setNames(df, NULL) +# appends a new (empty) trace to generate (plot-wide) colorbar/colorscale +mapColor <- function(traces, title = "", na.color = "transparent") { + color <- lapply(traces, "[[", "color") + nColors <- lengths(color) + # if no "top-level" color is present, return traces untouched + if (all(nColors == 0)) { + return(traces) + } + # color/colorscale/colorbar attribute placement depends on trace type and marker mode + types <- vapply(traces, function(tr) tr$type, character(1)) + modes <- vapply(traces, function(tr) { + tr$mode %||% if (any(lengths(tr) > 20)) "lines" else "markers+lines" + }, character(1)) + hasMarker <- has_marker(types, modes) + hasLine <- has_line(types, modes) + hasText <- has_text(types, modes) + hasZ <- !grepl("scatter", types) & + any(vapply(traces, function(tr) !is.null(tr$z), logical(1))) + + isNumeric <- vapply(color, is.numeric, logical(1)) + colors <- lapply(traces, "[[", "colors") + + if (any(isNumeric)) { + palette <- compact(colors[isNumeric]) %||% viridisLite::viridis(10) + if (is.list(palette) && length(palette) > 1) { + stop("Multiple numeric color palettes specified (via the colors argument).\n", + "When using the color/colors arguments, only one palette is allowed.", + call. = FALSE) + } + # TODO: use ggstat::frange() when it's on CRAN? + allColor <- unlist(color[isNumeric]) + rng <- range(allColor, na.rm = TRUE) + colScale <- scales::col_numeric(palette, rng, na.color = na.color) + # generate the colorscale to be shared across traces + vals <- if (diff(rng) > 0) as.numeric(quantile(allColor)) else c(0, 1) + colorScale <- matrix(c(scales::rescale(vals), colScale(vals)), ncol = 2) + colorObj <- list( + colorbar = list(title = as.character(title), ticklen = 2), + cmin = rng[1], + cmax = rng[2], + colorscale = colorScale, + showscale = FALSE ) - # scatter-like traces can have both line and marker objects - if (grepl("scatter", dat[["type"]] %||% "scatter")) { - col_list$color <- cols - dat[["marker"]] <- modifyList(col_list, dat[["marker"]] %||% list()) - #mode <- dat[["mode"]] %||% "markers+lines" - # can't have a colorscale for both markers and lines??? - #dat[["line"]] <- modifyList(col_list, dat[["line"]] %||% list()) - } else { - dat <- c(dat, col_list) + for (i in which(isNumeric)) { + colorObj$color <- color[[i]] + if (hasLine[[i]]) { + traces[[i]]$line <- modifyList(traces[[i]]$line %||% list(), colorObj) + } + if (hasMarker[[i]]) { + traces[[i]]$marker <- modifyList(traces[[i]]$marker %||% list(), colorObj) + } + if (hasZ[[i]]) { + traces[[i]] <- modifyList(traces[[i]] %||% list(), colorObj) + } + if (hasText[[i]]) { + warning("Numeric color variables cannot (yet) be mapped to text.\n", + "Feel free to make a feature request \n", + "https://github.com/plotly/plotly.js", call. = FALSE) + } } - dat <- list(dat) - } else { # discrete color scale - lvls <- unique(cols) + # add an "empty" trace with the colorbar + colorObj$color <- rng + colorObj$showscale <- TRUE + colorBarTrace <- list( + x = range(unlist(lapply(traces, "[[", "x")), na.rm = TRUE), + y = range(unlist(lapply(traces, "[[", "y")), na.rm = TRUE), + type = "scatter", + mode = "markers", + opacity = 0, + hoverinfo = "none", + showlegend = FALSE, + marker = colorObj + ) + traces[[length(traces) + 1]] <- structure(colorBarTrace, class = "plotly_colorbar") + } + + if (any(!isNumeric)) { + allColor <- unlist(color[!isNumeric]) + lvls <- unique(allColor) N <- length(lvls) - default <- if (is.ordered(cols)) viridisLite::viridis(N) - else RColorBrewer::brewer.pal(N, "Set2") - colors <- dat[["colors"]] %||% default - colz <- scales::col_factor(colors, levels = lvls, na.color = "transparent")(lvls) - dat <- traceify(dat, "color") - dat <- Map(function(x, y) { x[["marker"]] <- c(x[["marker"]], list(color = y)); x }, - dat, colz) - } - dat <- lapply(dat, function(x) { x$color <- NULL; x$colors <- NULL; x }) - dat + palette <- compact(colors[!isNumeric]) %||% + if (is.ordered(allColor)) viridisLite::viridis(N) else RColorBrewer::brewer.pal(N, "Set2") + if (is.list(palette) && length(palette) > 1) { + stop("Multiple numeric color palettes specified (via the colors argument).\n", + "When using the color/colors arguments, only one palette is allowed.", + call. = FALSE) + } + colScale <- scales::col_factor(palette, levels = lvls, na.color = na.color) + for (i in which(!isNumeric)) { + if (hasLine[[i]]) { + traces[[i]]$line$color <- colScale(color[[i]]) + } + if (hasMarker[[i]]) { + traces[[i]]$marker$color <- colScale(color[[i]]) + } + if (hasText[[i]]) { + traces[[i]]$textfont$color <- colScale(color[[i]]) + } + + } + } + + traces } -symbolize <- function(dat) { - # symbols really only make sense when markers are in the mode, right? - dat$mode <- grepl("markers", dat$mode %||% "markers") - dat <- traceify(dat, "symbol") - dat <- lapply(dat, function(x) { x$symbol <- NULL; x }) - N <- length(dat) - if (N > 8) warning("Plotly supports 8 different symbols, but you have ", N, " levels!") - symbols <- c('dot', 'cross', 'diamond', 'square', 'triangle-down', 'triangle-left', 'triangle-right', 'triangle-up') - sym <- dat[[1]][["symbols"]][seq_len(N)] %||% symbols[seq_len(N)] - dat <- Map(function(x, y) { x$marker$symbol <- y; x }, dat, sym) - dat +mapSymbol <- function(traces) { + symbolList <- lapply(traces, "[[", "symbol") + nSymbols <- lengths(symbolList) + # if no "top-level" symbol is present, return traces untouched + if (all(nSymbols == 0)) { + return(traces) + } + symbol <- unlist(compact(symbolList)) + if (!is.null(symbol) && !is.discrete(symbol)) { + warning("Coercing the symbol variable to a factor since\n", + "symbols only make sense for discrete variables", call. = FALSE) + symbol <- as.factor(symbol) + } + N <- length(unique(symbol)) + if (N > 8) { + warning("You've mapped a variable with ", N, " different levels to symbol.\n", + "It's very difficult to perceive more than 8 different symbols\n", + "in a single plot.") + } + # symbol values are duplicated (there is a valid numeric and character string for each symbol) + validSymbols <- as.character(Schema$traces$scatter$attributes$marker$symbol$values) + symbols <- unique(unlist(lapply(traces, "[[", "symbols"))) %||% + grep("[0-9]", validSymbols, invert = TRUE, value = TRUE) + illegalSymbols <- setdiff(symbols, validSymbols) + if (length(illegalSymbols)) { + stop("The following are not valid symbol codes:\n", + paste(illegalSymbols, collapse = ", "), + "Valid symbols include:\n'", + paste(validSymbols, collapse = "', '"), + call. = FALSE) + } + palette <- setNames(symbols[seq_len(N)], unique(symbol)) + for (i in which(nSymbols > 0)) { + traces[[i]]$marker$symbol <- as.character(palette[symbolList[[i]]]) + # ensure the mode is set so that the symbol is relevant + if (!grepl("markers", traces[[i]]$mode %||% "")) { + message("Adding markers to mode; otherwise symbol would have no effect.") + traces[[i]]$mode <- paste0(traces[[i]]$mode, "+markers") + } + } + traces } + + +mapLinetype <- function(traces) { + linetypeList <- lapply(traces, "[[", "linetype") + nLinetypes <- lengths(linetypeList) + # if no "top-level" linetype is present, return traces untouched + if (all(nLinetypes == 0)) { + return(traces) + } + linetype <- unlist(compact(linetypeList)) + if (!is.null(linetype) && !is.discrete(linetype)) { + warning("Coercing the linetype variable to a factor since\n", + "linetype only make sense for discrete variables", call. = FALSE) + linetype <- as.factor(linetype) + } + N <- length(unique(linetype)) + validLinetypes <- as.character( + Schema$traces$scatter$attributes$line$dash$values + ) + if (N > length(validLinetypes)) { + warning("linetype has ", N, " levels.\n", "plotly.js only has ", + length(validLinetypes), " different line types", call. = TRUE) + } + linetypes <- unique(unlist(lapply(traces, "[[", "linetypes"))) %||% validLinetypes + illegalLinetypes <- setdiff(linetypes, validLinetypes) + if (length(illegalLinetypes)) { + stop("The following are not valid symbol codes:\n'", + paste(illegalLinetypes, collapse = "', '"), + "Valid linetypes include:\n'", + paste(validLinetypes, collapse = "', '"), + call. = FALSE) + } + palette <- setNames(linetypes[seq_len(N)], unique(linetype)) + for (i in which(nLinetypes > 0)) { + traces[[i]][["line"]][["dash"]] <- as.character(palette[linetypeList[[i]]]) + # ensure the mode is set so that the linetype is relevant + if (!grepl("lines", traces[[i]]$mode %||% "")) { + message("Adding lines to mode; otherwise linetype would have no effect.") + traces[[i]]$mode <- paste0(traces[[i]]$mode, "+lines") + } + + } + traces +} + + # break up a single trace into multiple traces according to values stored # a particular key name -traceify <- function(dat, nm = "color") { - x <- dat[[nm]] - if (is.null(x)) { - return(list(dat)) - } else { - # the order of lvls determines the order in which traces are drawn - # for ordered factors at least, it makes sense to draw the highest level first - # since that _should_ be the darkest color in a sequential pallette - lvls <- if (is.factor(x)) rev(levels(x)) else unique(x) - n <- length(x) - # recursively search for a non-list of appropriate length (if it is, subset it) - recurse <- function(z, n, idx) { - if (is.list(z)) lapply(z, recurse, n, idx) else if (length(z) == n) z[idx] else z - } - new_dat <- list() - for (j in seq_along(lvls)) { - new_dat[[j]] <- lapply(dat, function(y) recurse(y, n, x %in% lvls[j])) - new_dat[[j]]$name <- lvls[j] - } - return(new_dat) +traceify <- function(dat, x = NULL) { + if (length(x) == 0) return(list(dat)) + # the order of lvls determines the order in which traces are drawn + # for ordered factors at least, it makes sense to draw the highest level first + # since that _should_ be the darkest color in a sequential pallette + lvls <- if (is.factor(x)) rev(levels(x)) else unique(x) + n <- length(x) + # recursively search for a non-list of appropriate length (if it is, subset it) + recurse <- function(z, n, idx) { + if (is.list(z)) lapply(z, recurse, n, idx) else if (length(z) == n) uniq(z[idx]) else z + } + new_dat <- list() + for (j in seq_along(lvls)) { + new_dat[[j]] <- lapply(dat, function(y) recurse(y, n, x %in% lvls[j])) + new_dat[[j]]$name <- lvls[j] } + return(new_dat) } diff --git a/R/sysdata.rda b/R/sysdata.rda index 5cc5e1bd9eee04290cda22b984b68078659b63d8..111c4cdd0984d0c49f4d5deb856257abbfb86ddf 100644 GIT binary patch literal 9730 zcmV+dCjHq$T4*^jL0KkKS@Tr&(gD(q|NsC0|NsC0|Ns9l|9}7g|Nde^NU%U4LSV@z zNB}}QM8V)XT=H>n@1(5{cIDT-y60L@003y(J{3r z#%jQ;-ci%RO1s(J)2`bzor9`3ZCKt;hj8g_ajgR;5cjj!r32RX4EJ-O33E1y%mjhZ z;oZtKrYTFdc^;0QgRQYZ?>D>GJ8nD-5mF|Co*{(LF*Fg8iHVXjdYXEMn2$9HiR9Gv z7>`hCfS#ku7@7?LGyobg1X2XhK{Pam2pVZJO{CG9iTY1e)5(%%DAAA}pfu5=KzfEi zXld#+27mwr8e%lU444x}35ljA0Wg{{2*4&L6Gngy7(sv`kTlaFk*19d5TZ#Yl+83# z^-b!UdOazo8iAt;p^2tI00003K=m3lG#NAi00004)gnSnrcFI2l-?;HsXV8Y)5$&R zk&t?ZfY1#905kvq00007r~otor6fTB5CpKe>{Ao_lZlBYrlgWd 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a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<c;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o){this.length-=o;for(var c=0;c=0&&(0!==u||c>=i);c--){var f=this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip(),this},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.testn=function(t){r("number"==typeof t&&t>=0);var e=t%26,n=(t-e)/26,i=1<=0);var e=t%26,n=(t-e)/26;if(r(!this.sign,"imaskn works only with positive numbers"),0!==e&&n++,this.length=Math.min(n,this.length),0!==e){var i=67108863^67108863>>>e<t?this.isubn(-t):this.sign?1===this.length&&this.words[0]=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(t){if(r("number"==typeof t),0>t)return this.iaddn(-t);if(this.sign)return this.sign=!1,this.iaddn(t),this.sign=!0,this;this.words[0]-=t;for(var e=0;e>26)-(c/67108864|0),this.words[i+n]=67108863&l}for(;i>26,this.words[i+n]=67108863&l}if(0===s)return this.strip();r(-1===s),s=0;for(var i=0;i>26,this.words[i]=67108863&l}return this.sign=!0,this.strip()},i.prototype._wordDiv=function(t,e){var r=this.length-t.length,n=this.clone(),a=t,o=a.words[a.length-1],s=this._countBits(o);r=26-s,0!==r&&(a=a.shln(r),n.ishln(r),o=a.words[a.length-1]);var l,c=n.length-a.length;if("mod"!==e){l=new i(null),l.length=c+1,l.words=new Array(l.length);for(var u=0;u=0;h--){var d=67108864*n.words[a.length+h]+n.words[a.length+h-1];for(d=Math.min(d/o|0,67108863),n._ishlnsubmul(a,d,h);n.sign;)d--,n.sign=!1,n._ishlnsubmul(a,1,h),0!==n.cmpn(0)&&(n.sign=!n.sign);l&&(l.words[h]=d)}return l&&l.strip(),n.strip(),"div"!==e&&0!==r&&n.ishrn(r),{div:l?l:null,mod:n}},i.prototype.divmod=function(t,e){if(r(0!==t.cmpn(0)),this.sign&&!t.sign){var n,a,o=this.neg().divmod(t,e);return"mod"!==e&&(n=o.div.neg()),"div"!==e&&(a=0===o.mod.cmpn(0)?o.mod:t.sub(o.mod)),{div:n,mod:a}}if(!this.sign&&t.sign){var n,o=this.divmod(t.neg(),e);return"mod"!==e&&(n=o.div.neg()),{div:n,mod:o.mod}}return this.sign&&t.sign?this.neg().divmod(t.neg(),e):t.length>this.length||this.cmp(t)<0?{div:new i(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e)},i.prototype.div=function(t){return this.divmod(t,"div").div},i.prototype.mod=function(t){return this.divmod(t,"mod").mod},i.prototype.divRound=function(t){var e=this.divmod(t);if(0===e.mod.cmpn(0))return e.div;var r=e.div.sign?e.mod.isub(t):e.mod,n=t.shrn(1),i=t.andln(1),a=r.cmp(n);return 0>a||1===i&&0===a?e.div:e.div.sign?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){r(67108863>=t);for(var e=(1<<26)%t,n=0,i=this.length-1;i>=0;i--)n=(e*n+this.words[i])%t;return n},i.prototype.idivn=function(t){r(67108863>=t);for(var e=0,n=this.length-1;n>=0;n--){var i=this.words[n]+67108864*e;this.words[n]=i/t|0,e=i%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.prototype.egcd=function(t){r(!t.sign),r(0!==t.cmpn(0));var e=this,n=t.clone();e=e.sign?e.mod(t):e.clone();for(var a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&n.isEven();)e.ishrn(1),n.ishrn(1),++c;for(var u=n.clone(),f=e.clone();0!==e.cmpn(0);){for(;e.isEven();)e.ishrn(1),a.isEven()&&o.isEven()?(a.ishrn(1),o.ishrn(1)):(a.iadd(u).ishrn(1),o.isub(f).ishrn(1));for(;n.isEven();)n.ishrn(1),s.isEven()&&l.isEven()?(s.ishrn(1),l.ishrn(1)):(s.iadd(u).ishrn(1),l.isub(f).ishrn(1));e.cmp(n)>=0?(e.isub(n),a.isub(s),o.isub(l)):(n.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:n.ishln(c)}},i.prototype._invmp=function(t){r(!t.sign),r(0!==t.cmpn(0));var e=this,n=t.clone();e=e.sign?e.mod(t):e.clone();for(var a=new i(1),o=new i(0),s=n.clone();e.cmpn(1)>0&&n.cmpn(1)>0;){for(;e.isEven();)e.ishrn(1),a.isEven()?a.ishrn(1):a.iadd(s).ishrn(1);for(;n.isEven();)n.ishrn(1),o.isEven()?o.ishrn(1):o.iadd(s).ishrn(1);e.cmp(n)>=0?(e.isub(n),a.isub(o)):(n.isub(e),o.isub(a))}return 0===e.cmpn(1)?a:o},i.prototype.gcd=function(t){if(0===this.cmpn(0))return t.clone();if(0===t.cmpn(0))return this.clone();var e=this.clone(),r=t.clone();e.sign=!1,r.sign=!1;for(var n=0;e.isEven()&&r.isEven();n++)e.ishrn(1),r.ishrn(1);for(;;){for(;e.isEven();)e.ishrn(1);for(;r.isEven();)r.ishrn(1);var i=e.cmp(r);if(0>i){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.ishln(n)},i.prototype.invm=function(t){return this.egcd(t).a.mod(t)},i.prototype.isEven=function(){return 0===(1&this.words[0])},i.prototype.isOdd=function(){return 1===(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){r("number"==typeof t);var e=t%26,n=(t-e)/26,i=1<a;a++)this.words[a]=0;return this.words[n]|=i,this.length=n+1,this}for(var o=i,a=n;0!==o&&a>>26,s&=67108863,this.words[a]=s}return 0!==o&&(this.words[a]=o,this.length++),this},i.prototype.cmpn=function(t){var e=0>t;if(e&&(t=-t),this.sign&&!e)return-1;if(!this.sign&&e)return 1;t&=67108863,this.strip();var r;if(this.length>1)r=1;else{var n=this.words[0];r=n===t?0:t>n?-1:1}return this.sign&&(r=-r),r},i.prototype.cmp=function(t){if(this.sign&&!t.sign)return-1;if(!this.sign&&t.sign)return 1;var e=this.ucmp(t);return this.sign?-e:e},i.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length=0;r--){var n=this.words[r],i=t.words[r];if(n!==i){i>n?e=-1:n>i&&(e=1);break}}return e},i.red=function(t){return new h(t)},i.prototype.toRed=function(t){return r(!this.red,"Already a number in reduction context"),r(!this.sign,"red works only with positives"),t.convertTo(this)._forceRed(t)},i.prototype.fromRed=function(){return r(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},i.prototype._forceRed=function(t){return this.red=t,this},i.prototype.forceRed=function(t){return r(!this.red,"Already a number in reduction context"),this._forceRed(t)},i.prototype.redAdd=function(t){return r(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},i.prototype.redIAdd=function(t){return r(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},i.prototype.redSub=function(t){return r(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},i.prototype.redISub=function(t){return r(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},i.prototype.redShl=function(t){return r(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},i.prototype.redMul=function(t){return r(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},i.prototype.redIMul=function(t){return r(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},i.prototype.redSqr=function(){return r(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},i.prototype.redISqr=function(){return r(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},i.prototype.redSqrt=function(){return r(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},i.prototype.redInvm=function(){return r(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},i.prototype.redNeg=function(){return r(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},i.prototype.redPow=function(t){return r(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var m={k256:null,p224:null,p192:null,p25519:null};s.prototype._tmp=function(){var t=new i(null);return t.words=new Array(Math.ceil(this.n/13)),t},s.prototype.ireduce=function(t){var e,r=t;do this.split(r,this.tmp),r=this.imulK(r),r=r.iadd(this.tmp),e=r.bitLength();while(e>this.n);var n=e0?r.isub(this.p):r.strip(),r},s.prototype.split=function(t,e){t.ishrn(this.n,0,e)},s.prototype.imulK=function(t){return t.imul(this.k)},n(l,s),l.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;n>i;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];e.words[e.length++]=a&r;for(var i=10;i>>22,a=o}t.words[i-10]=a>>>22,t.length-=9},l.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e,r=0,n=0;n>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},i._prime=function y(t){if(m[t])return m[t];var y;if("k256"===t)y=new l;else if("p224"===t)y=new c;else if("p192"===t)y=new u;else{if("p25519"!==t)throw new Error("Unknown prime "+t);y=new f}return m[t]=y,y},h.prototype._verify1=function(t){r(!t.sign,"red works only with positives"),r(t.red,"red works only with red numbers")},h.prototype._verify2=function(t,e){r(!t.sign&&!e.sign,"red works only with positives"),r(t.red&&t.red===e.red,"red works only with red numbers")},h.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.mod(this.m)._forceRed(this)},h.prototype.neg=function(t){var e=t.clone();return e.sign=!e.sign,e.iadd(this.m)._forceRed(this)},h.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},h.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},h.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},h.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},h.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.shln(e))},h.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},h.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},h.prototype.isqr=function(t){return this.imul(t,t)},h.prototype.sqr=function(t){return this.mul(t,t)},h.prototype.sqrt=function(t){if(0===t.cmpn(0))return t.clone();var e=this.m.andln(3);if(r(e%2===1),3===e){var n=this.m.add(new i(1)).ishrn(2),a=this.pow(t,n);return a}for(var o=this.m.subn(1),s=0;0!==o.cmpn(0)&&0===o.andln(1);)s++,o.ishrn(1);r(0!==o.cmpn(0));var l=new i(1).toRed(this),c=l.redNeg(),u=this.m.subn(1).ishrn(1),f=this.m.bitLength();for(f=new i(2*f*f).toRed(this);0!==this.pow(f,u).cmp(c);)f.redIAdd(c);for(var h=this.pow(f,o),a=this.pow(t,o.addn(1).ishrn(1)),d=this.pow(t,o),p=s;0!==d.cmp(l);){for(var g=d,v=0;0!==g.cmp(l);v++)g=g.redSqr();r(p>v);var m=this.pow(h,new i(1).ishln(p-v-1));a=a.redMul(m),h=m.redSqr(),d=d.redMul(h),p=v}return a},h.prototype.invm=function(t){var e=t._invmp(this.m);return e.sign?(e.sign=!1,this.imod(e).redNeg()):this.imod(e)},h.prototype.pow=function(t,e){var r=[];if(0===e.cmpn(0))return new i(1);for(var n=e.clone();0!==n.cmpn(0);)r.push(n.andln(1)),n.ishrn(1);for(var a=t,o=0;o=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},d.prototype.mul=function(t,e){if(0===t.cmpn(0)||0===e.cmpn(0))return new i(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),a=r.isub(n).ishrn(this.shift),o=a;return a.cmp(this.m)>=0?o=a.isub(this.m):a.cmpn(0)<0&&(o=a.iadd(this.m)),o._forceRed(this)},d.prototype.invm=function(t){var e=this.imod(t._invmp(this.m).mul(this.r2));return e._forceRed(this)}}("undefined"==typeof e||e,this)},{}],50:[function(t,e,r){"use strict";function n(t){var e,r,n,i=t.length,a=0;for(e=0;i>e;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;i>e;++e){var l=t[e],c=l.length;for(r=0;c>r;++r){var u=o[s++]=new 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a(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}function o(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;3>u;++u)if(e!==u){var f=a,h=s,d=o,p=l;c&1<0?(d[u]=-1,p[u]=0):(d[u]=0,p[u]=1)}}function s(t,e){var r=new i(t);return r.update(e),r}e.exports=s;var l=t("./lib/text.js"),c=t("./lib/lines.js"),u=t("./lib/background.js"),f=t("./lib/cube.js"),h=t("./lib/ticks.js"),d=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),p=i.prototype;p.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;3>s;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,n=e.bind(this,!1,Number),i=e.bind(this,!1,Boolean),a=e.bind(this,!1,String),o=e.bind(this,!0,function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]}),s=!1,u=!1;if("bounds"in t)for(var f=t.bounds,d=0;2>d;++d)for(var p=0;3>p;++p)f[d][p]!==this.bounds[d][p]&&(u=!0),this.bounds[d][p]=f[d][p];if("ticks"in t){r=t.ticks,s=!0,this.autoTicks=!1;for(var d=0;3>d;++d)this.tickSpacing[d]=0}else n("tickSpacing")&&(this.autoTicks=!0,u=!0);if(this._firstInit&&("ticks"in t||"tickSpacing"in t||(this.autoTicks=!0),u=!0,s=!0,this._firstInit=!1),u&&this.autoTicks&&(r=h.create(this.bounds,this.tickSpacing),s=!0),s){for(var d=0;3>d;++d)r[d].sort(function(t,e){return t.x-e.x});h.equal(r,this.ticks)?s=!1:this.ticks=r}i("tickEnable"),a("tickFont")&&(s=!0),n("tickSize"),n("tickAngle"),n("tickPad"),o("tickColor");var g=a("labels");a("labelFont")&&(g=!0),i("labelEnable"),n("labelSize"),n("labelPad"),o("labelColor"),i("lineEnable"),i("lineMirror"),n("lineWidth"),o("lineColor"),i("lineTickEnable"),i("lineTickMirror"),n("lineTickLength"),n("lineTickWidth"),o("lineTickColor"),i("gridEnable"),n("gridWidth"),o("gridColor"),i("zeroEnable"),o("zeroLineColor"),n("zeroLineWidth"),i("backgroundEnable"),o("backgroundColor"),this._text?this._text&&(g||s)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=l(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&s&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=c(this.gl,this.bounds,this.ticks))};var g=[new a,new a,new a],v=[0,0,0],m={model:d,view:d,projection:d};p.isOpaque=function(){return!0},p.isTransparent=function(){return!1},p.drawTransparent=function(t){};var y=[0,0,0],b=[0,0,0],x=[0,0,0];p.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||d,i=t.view||d,a=t.projection||d,s=this.bounds,l=f(r,i,a,s),c=l.cubeEdges,u=l.axis,h=i[12],p=i[13],_=i[14],w=i[15],k=this.pixelRatio*(a[3]*h+a[7]*p+a[11]*_+a[15]*w)/e.drawingBufferHeight,A=0;3>A;++A)this.lastCubeProps.cubeEdges[A]=c[A],this.lastCubeProps.axis[A]=u[A];for(var M=g,A=0;3>A;++A)o(g[A],A,this.bounds,c,u);for(var e=this.gl,T=v,A=0;3>A;++A)this.backgroundEnable[A]?T[A]=u[A]:T[A]=0;this._background.draw(r,i,a,s,T,this.backgroundColor),this._lines.bind(r,i,a,this);for(var A=0;3>A;++A){var E=[0,0,0];u[A]>0?E[A]=s[1][A]:E[A]=s[0][A];for(var L=0;2>L;++L){var S=(A+1+L)%3,C=(A+1+(1^L))%3;this.gridEnable[S]&&this._lines.drawGrid(S,C,this.bounds,E,this.gridColor[S],this.gridWidth[S]*this.pixelRatio)}for(var L=0;2>L;++L){var S=(A+1+L)%3,C=(A+1+(1^L))%3;this.zeroEnable[C]&&s[0][C]<=0&&s[1][C]>=0&&this._lines.drawZero(S,C,this.bounds,E,this.zeroLineColor[C],this.zeroLineWidth[C]*this.pixelRatio)}}for(var A=0;3>A;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);for(var z=n(y,M[A].primalMinor),P=n(b,M[A].mirrorMinor),R=this.lineTickLength,L=0;3>L;++L){var O=k/r[5*L];z[L]*=R[L]*O,P[L]*=R[L]*O}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,P,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._text.bind(r,i,a,this.pixelRatio);for(var A=0;3>A;++A){for(var I=M[A].primalMinor,N=n(x,M[A].primalOffset),L=0;3>L;++L)this.lineTickEnable[A]&&(N[L]+=k*I[L]*Math.max(this.lineTickLength[L],0)/r[5*L]);if(this.tickEnable[A]){for(var L=0;3>L;++L)N[L]+=k*I[L]*this.tickPad[L]/r[5*L];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],N,this.tickColor[A])}if(this.labelEnable[A]){for(var L=0;3>L;++L)N[L]+=k*I[L]*this.labelPad[L]/r[5*L];N[A]+=.5*(s[0][A]+s[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],N,this.labelColor[A])}}},p.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{"./lib/background.js":100,"./lib/cube.js":101,"./lib/lines.js":102,"./lib/text.js":104,"./lib/ticks.js":105}],100:[function(t,e,r){"use strict";function n(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}function i(t){for(var e=[],r=[],i=0,l=0;3>l;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],d=-1;1>=d;d+=2){r.push(i,i+2,i+1,i+1,i+2,i+3),f[l]=d,h[l]=d;for(var p=-1;1>=p;p+=2){f[c]=p;for(var g=-1;1>=g;g+=2)f[u]=g,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),i+=1}var v=c;c=u,u=v}var m=a(t,new 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b=0;2>b;++b){d[1]=a[b][1];for(var x=0;2>x;++x)d[0]=a[x][0],n(f[l],d,u),l+=1}}for(var _=-1,g=0;8>g;++g){for(var w=f[g][3],k=0;3>k;++k)h[g][k]=f[g][k]/w;0>w&&(0>_?_=g:h[g][2]_){_=0;for(var A=0;3>A;++A){for(var M=(A+2)%3,T=(A+1)%3,E=-1,L=-1,S=0;2>S;++S){var C=S<E||0>L)L>E&&(_|=1<S;++S){var C=S<E&&(_|=1<g;++g)g!==_&&g!==O&&(0>I?I=g:h[I][1]>h[g][1]&&(I=g));for(var N=-1,g=0;3>g;++g){var j=I^1<N&&(N=j);var T=h[j];T[0]g;++g){var j=I^1<F&&(F=j);var T=h[j];T[0]>h[F][0]&&(F=j)}}var B=v;B[0]=B[1]=B[2]=0,B[o.log2(N^I)]=I&N,B[o.log2(I^F)]=I&F;var D=7^F;D===_||D===O?(D=7^N,B[o.log2(F^D)]=D&F):B[o.log2(N^D)]=D&N;for(var U=m,V=_,A=0;3>A;++A)V&1<t;++t)f[t]=[1,1,1,1],h[t]=[1,1,1]}();var g=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]],v=[1,1,1],m=[0,0,0],y={cubeEdges:v,axis:m}},{"bit-twiddle":48,"gl-mat4/invert":128,"gl-mat4/multiply":130,"robust-orientation":253,"split-polygon":270}],102:[function(t,e,r){"use strict";function n(t){return t[0]=t[1]=t[2]=0,t}function 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o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r}function a(t,e){for(var r=0;3>r;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;na;++a){for(var o=p,s=g,l=0;3>l;++l)s[l]=o[l]=r[l];s[3]=o[3]=1,s[a]+=1,f(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,f(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,u=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+u*u)}return t}function a(t,e,r,n,a){var f=e.model||h,p=e.view||h,g=e.projection||h,y=t.bounds,a=a||l(f,p,g,y),b=a.axis;a.edges;c(d,p,f),c(d,g,d);for(var x=v,_=0;3>_;++_)x[_].lo=1/0,x[_].hi=-(1/0),x[_].pixelsPerDataUnit=1/0;var w=o(u(d,d));u(d,d);for(var k=0;3>k;++k){var A=(k+1)%3,M=(k+2)%3,T=m;t:for(var _=0;2>_;++_){var E=[];if(b[k]<0!=!!_){T[k]=y[_][k];for(var L=0;2>L;++L){T[A]=y[L^_][A];for(var S=0;2>S;++S)T[M]=y[S^L^_][M],E.push(T.slice())}for(var L=0;LS;++S)x[S].lo=Math.min(x[S].lo,M[S]),x[S].hi=Math.max(x[S].hi,M[S]),S!==k&&(x[S].pixelsPerDataUnit=Math.min(x[S].pixelsPerDataUnit,Math.abs(C[S])))}}}return x}e.exports=a;var o=t("extract-frustum-planes"),s=t("split-polygon"),l=t("./lib/cube.js"),c=t("gl-mat4/multiply"),u=t("gl-mat4/transpose"),f=t("gl-vec4/transformMat4"),h=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),d=new Float32Array(16),p=[0,0,0,1],g=[0,0,0,1],v=[new n(1/0,-(1/0),1/0),new n(1/0,-(1/0),1/0),new n(1/0,-(1/0),1/0)],m=[0,0,0]},{"./lib/cube.js":101,"extract-frustum-planes":94,"gl-mat4/multiply":130,"gl-mat4/transpose":138,"gl-vec4/transformMat4":188,"split-polygon":270}],107:[function(t,e,r){"use strict";function n(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}function i(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(0>a)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function a(t,e){for(var r=l.malloc(t.length,e),n=t.length,i=0;n>i;++i)r[i]=t[i];return r}function o(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}function s(t,e,r,i){if(r=r||t.ARRAY_BUFFER,i=i||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(i!==t.DYNAMIC_DRAW&&i!==t.STATIC_DRAW&&i!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var a=t.createBuffer(),o=new n(t,r,a,0,i);return o.update(e),o}var l=t("typedarray-pool"),c=t("ndarray-ops"),u=t("ndarray"),f=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"],h=n.prototype;h.bind=function(){this.gl.bindBuffer(this.type,this.handle)},h.unbind=function(){this.gl.bindBuffer(this.type,null)},h.dispose=function(){this.gl.deleteBuffer(this.handle)},h.update=function(t,e){if("number"!=typeof e&&(e=-1),this.bind(),"object"==typeof t&&"undefined"!=typeof t.shape){var r=t.dtype;if(f.indexOf(r)<0&&(r="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER){var n=gl.getExtension("OES_element_index_uint");r=n&&"uint16"!==r?"uint32":"uint16"}if(r===t.dtype&&o(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=i(this.gl,this.type,this.length,this.usage,t.data,e):this.length=i(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=l.malloc(t.size,r),h=u(s,t.shape);c.assign(h,t),0>e?this.length=i(this.gl,this.type,this.length,this.usage,s,e):this.length=i(this.gl,this.type,this.length,this.usage,s.subarray(0,t.size),e),l.free(s)}}else if(Array.isArray(t)){var d;d=this.type===this.gl.ELEMENT_ARRAY_BUFFER?a(t,"uint16"):a(t,"float32"),0>e?this.length=i(this.gl,this.type,this.length,this.usage,d,e):this.length=i(this.gl,this.type,this.length,this.usage,d.subarray(0,t.length),e),l.free(d)}else if("object"==typeof t&&"number"==typeof t.length)this.length=i(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");t=0|t,0>=t&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=s},{ndarray:225,"ndarray-ops":219,"typedarray-pool":282}],108:[function(t,e,r){e.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},{}],109:[function(t,e,r){var n=t("./1.0/numbers");e.exports=function(t){return n[t]}},{"./1.0/numbers":108}],110:[function(t,e,r){"use strict";function n(t,e,r){this.plot=t,this.shader=e,this.buffer=r,this.bounds=[1/0,1/0,-(1/0),-(1/0)],this.numPoints=0,this.color=[0,0,0,1]}function i(t,e){var r=a(t.gl,l.vertex,l.fragment),i=o(t.gl),s=new n(t,r,i);return s.update(e),t.addObject(s),s}var a=t("gl-shader"),o=t("gl-buffer"),s=t("typedarray-pool"),l=t("./lib/shaders");e.exports=i;var c=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]],u=n.prototype;u.draw=function(){var t=[1,0,0,0,1,0,0,0,1],e=[1,1];return function(){var r=this.plot,n=this.shader,i=this.buffer,a=this.bounds,o=this.numPoints;if(o){var s=r.gl,l=r.dataBox,u=r.viewBox,f=r.pixelRatio,h=a[2]-a[0],d=a[3]-a[1],p=l[2]-l[0],g=l[3]-l[1];t[0]=2*h/p,t[4]=2*d/g,t[6]=2*(a[0]-l[0])/p-1,t[7]=2*(a[1]-l[1])/g-1;var v=u[2]-u[0],m=u[3]-u[1];e[0]=2*f/v,e[1]=2*f/m,i.bind(),n.bind(),n.uniforms.viewTransform=t,n.uniforms.pixelScale=e,n.uniforms.color=this.color,n.attributes.position.pointer(s.FLOAT,!1,16,0),n.attributes.pixelOffset.pointer(s.FLOAT,!1,16,8),s.drawArrays(s.TRIANGLES,0,o*c.length)}}}(),u.drawPick=function(t){return t},u.pick=function(t,e){return null},u.update=function(t){t=t||{};var e,r,n,i=t.positions||[],a=t.errors||[],o=1;"lineWidth"in t&&(o=+t.lineWidth);var l=5;"capSize"in t&&(l=+t.capSize),this.color=(t.color||[0,0,0,1]).slice();var u=this.bounds=[1/0,1/0,-(1/0),-(1/0)],f=this.numPoints=i.length>>1;for(e=0;f>e;++e)r=i[2*e],n=i[2*e+1],u[0]=Math.min(r,u[0]),u[1]=Math.min(n,u[1]),u[2]=Math.max(r,u[2]),u[3]=Math.max(n,u[3]);u[2]===u[0]&&(u[2]+=1),u[3]===u[1]&&(u[3]+=1);var h=1/(u[2]-u[0]),d=1/(u[3]-u[1]),p=u[0],g=u[1],v=s.mallocFloat32(f*c.length*4),m=0;for(e=0;f>e;++e){r=i[2*e],n=i[2*e+1];for(var y=a[4*e],b=a[4*e+1],x=a[4*e+2],_=a[4*e+3],w=0;wA?A*=y:A>0&&(A*=b),0>M?M*=x:M>0&&(M*=_),v[m++]=h*(r-p+A),v[m++]=d*(n-g+M),v[m++]=o*k[2]+(l+o)*k[4],v[m++]=o*k[3]+(l+o)*k[5]}}this.buffer.update(v),s.free(v)},u.dispose=function(){this.plot.removeObject(this),this.shader.dispose(),this.buffer.dispose()}},{"./lib/shaders":111,"gl-buffer":107,"gl-shader":166,"typedarray-pool":282}],111:[function(t,e,r){e.exports={vertex:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec2 pixelOffset;\n\nuniform mat3 viewTransform;\nuniform vec2 pixelScale;\n\nvoid main() {\n vec3 scrPosition = viewTransform * vec3(position, 1);\n gl_Position = vec4(\n scrPosition.xy + scrPosition.z * pixelScale * pixelOffset,\n 0,\n scrPosition.z);\n}\n",fragment:"precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n gl_FragColor = vec4(color.rgb * color.a, color.a);\n}\n"}},{}],112:[function(t,e,r){"use strict";function n(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1}function i(t,e){for(var r=0;3>r;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}function a(t,e,r,n){for(var i=h[n],a=0;a=1},f.isTransparent=function(){return this.opacity<1},f.drawTransparent=f.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||u,i=r.projection=t.projection||u;r.model=t.model||u,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],o=n[13],s=n[14],l=n[15],c=this.pixelRatio*(i[3]*a+i[7]*o+i[11]*s+i[15]*l)/e.drawingBufferHeight;this.vao.bind();for(var f=0;3>f;++f)e.lineWidth(this.lineWidth[f]),r.capSize=this.capSize[f]*c,e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var h=function(){for(var t=new Array(3),e=0;3>e;++e){for(var r=[],n=1;2>=n;++n)for(var i=-1;1>=i;i+=2){var a=(n+e)%3,o=[0,0,0];o[a]=i,r.push(o)}t[e]=r}return t}();f.update=function(t){t=t||{},"lineWidth"in t&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),"opacity"in t&&(this.opacity=t.opacity);var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var o=[],s=r.length,l=0;this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.lineCount=[0,0,0];for(var c=0;3>c;++c){this.lineOffset[c]=l;t:for(var u=0;s>u;++u){for(var f=r[u],h=0;3>h;++h)if(isNaN(f[h])||!isFinite(f[h]))continue t;var d=n[u],p=e[c];if(Array.isArray(p[0])&&(p=e[u]),3===p.length&&(p=[p[0],p[1],p[2],1]),!isNaN(d[0][c])&&!isNaN(d[1][c])){if(d[0][c]<0){var g=f.slice();g[c]+=d[0][c],o.push(f[0],f[1],f[2],p[0],p[1],p[2],p[3],0,0,0,g[0],g[1],g[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,g),l+=2+a(o,g,p,c)}if(d[1][c]>0){var g=f.slice();g[c]+=d[1][c],o.push(f[0],f[1],f[2],p[0],p[1],p[2],p[3],0,0,0,g[0],g[1],g[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,g),l+=2+a(o,g,p,c)}}}this.lineCount[c]=l-this.lineOffset[c]}this.buffer.update(o)}},f.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{"./shaders/index":113,"gl-buffer":107,"gl-vao":182}],113:[function(t,e,r){"use strict";var n=t("gl-shader"),i="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n vec4 worldPosition = model * vec4(position, 1.0);\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n gl_Position = projection * view * worldPosition;\n fragColor = color;\n fragPosition = position;\n}",a="precision mediump float;\n#define GLSLIFY 1\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n if(any(lessThan(fragPosition, clipBounds[0])) || any(greaterThan(fragPosition, clipBounds[1]))) {\n discard;\n }\n gl_FragColor = opacity * fragColor;\n}";e.exports=function(t){return n(t,i,a,null,[{name:"position",type:"vec3"},{name:"offset",type:"vec3"},{name:"color",type:"vec4"}])}},{"gl-shader":166}],114:[function(t,e,r){"use strict";function n(t){var e=t.getParameter(t.FRAMEBUFFER_BINDING),r=t.getParameter(t.RENDERBUFFER_BINDING),n=t.getParameter(t.TEXTURE_BINDING_2D);return[e,r,n]}function i(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function a(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);y=new Array(r+1);for(var n=0;r>=n;++n){for(var i=new Array(r),a=0;n>a;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(var a=n;r>a;++a)i[a]=t.NONE;y[n]=i}}function o(t){switch(t){case p:throw new Error("gl-fbo: Framebuffer unsupported");case g:throw new Error("gl-fbo: Framebuffer incomplete attachment");case v:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case m:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function s(t,e,r,n,i,a){if(!n)return null;var o=d(t,e,r,i,n);return o.magFilter=t.NEAREST,o.minFilter=t.NEAREST,o.mipSamples=1,o.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,a,t.TEXTURE_2D,o.handle,0),o}function l(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function c(t){var e=n(t.gl),r=t.gl,a=t.handle=r.createFramebuffer(),c=t._shape[0],u=t._shape[1],f=t.color.length,h=t._ext,d=t._useStencil,p=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,a);for(var v=0;f>v;++v)t.color[v]=s(r,c,u,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===f?(t._color_rb=l(r,c,u,r.RGBA4,r.COLOR_ATTACHMENT0),h&&h.drawBuffersWEBGL(y[0])):f>1&&h.drawBuffersWEBGL(y[f]);var m=r.getExtension("WEBGL_depth_texture");m?d?t.depth=s(r,c,u,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p&&(t.depth=s(r,c,u,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):p&&d?t._depth_rb=l(r,c,u,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p?t._depth_rb=l(r,c,u,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=l(r,c,u,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var b=r.checkFramebufferStatus(r.FRAMEBUFFER);if(b!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(var v=0;vl;++l)this.color[l]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var u=this,f=[0|e,0|r];Object.defineProperties(f,{0:{get:function(){return u._shape[0]},set:function(t){return u.width=t}},1:{get:function(){return u._shape[1]},set:function(t){return u.height=t}}}),this._shapeVector=f,c(this)}function f(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var a=t.gl,s=a.getParameter(a.MAX_RENDERBUFFER_SIZE);if(0>e||e>s||0>r||r>s)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var l=n(a),c=0;ce||e>o||0>r||r>o)throw new Error("gl-fbo: Parameters are too large for FBO");n=n||{};var s=1;if("color"in n){if(s=Math.max(0|n.color,0),0>s)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(s>1){if(!i)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(s>t.getParameter(i.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+s+" draw buffers")}}var l=t.UNSIGNED_BYTE,c=t.getExtension("OES_texture_float");if(n.float&&s>0){if(!c)throw new Error("gl-fbo: Context does not support floating point textures");l=t.FLOAT}else n.preferFloat&&s>0&&c&&(l=t.FLOAT);var f=!0;"depth"in n&&(f=!!n.depth);var h=!1;return"stencil"in n&&(h=!!n.stencil),new u(t,e,r,l,s,f,h,i)}var d=t("gl-texture2d");e.exports=h;var p,g,v,m,y=null,b=u.prototype;Object.defineProperties(b,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return f(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return t=0|t,f(this,t,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t=0|t,f(this,this._shape[0],t),t},enumerable:!1}}),b.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},b.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e2&&!this.usingDashes){var C=this.mitreShader;C.bind();var z=C.uniforms;z.matrix=t,z.color=s,z.screenShape=e,z.radius=l*p,C.attributes.p.pointer(f.FLOAT,!1,48,0),f.drawArrays(f.POINTS,0,u/3|0)}}}}(),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0],r=[0,0,0,0];return function(n){var i=this.plot,a=this.pickShader,o=this.lineBuffer,s=this.pickBuffer,l=this.width,c=this.numPoints,u=this.bounds,f=this.vertCount,h=i.gl,d=i.viewBox,p=i.dataBox,g=i.pickPixelRatio,v=u[2]-u[0],m=u[3]-u[1],y=p[2]-p[0],b=p[3]-p[1],x=d[2]-d[0],_=d[3]-d[1];if(this.pickOffset=n,!f)return n+c;t[0]=2*v/y,t[4]=2*m/b,t[6]=2*(u[0]-p[0])/y-1,t[7]=2*(u[1]-p[1])/b-1,e[0]=x,e[1]=_,r[0]=255&n,r[1]=n>>>8&255,r[2]=n>>>16&255,r[3]=n>>>24,a.bind();var w=a.uniforms;w.matrix=t,w.width=l*g,w.pickOffset=r,w.screenShape=e;var k=a.attributes;return o.bind(),k.a.pointer(h.FLOAT,!1,16,0),k.d.pointer(h.FLOAT,!1,16,8),s.bind(),k.pick0.pointer(h.UNSIGNED_BYTE,!1,8,0),k.pick1.pointer(h.UNSIGNED_BYTE,!1,8,4),h.drawArrays(h.TRIANGLES,0,f),n+c}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(n>r||r>=n+i)return null;var a=r-n,o=this.data;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},h.update=function(t){t=t||{};var e=this.plot.gl;!!t.connectGaps;this.color=(t.color||[0,0,1,1]).slice(),this.width=+(t.width||1),this.fill=(t.fill||[!1,!1,!1,!1]).slice(),this.fillColor=i(t.fillColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);for(var r=t.dashes||[1],n=0,a=0;a1,this.dashPattern=l(e,c(o,[n,1,4],[1,0,0])),this.dashPattern.minFilter=e.NEAREST,this.dashPattern.magFilter=e.NEAREST,this.dashLength=n,u.free(o);var d=t.positions;this.data=d;var p=this.bounds;p[0]=p[1]=1/0,p[2]=p[3]=-(1/0);var g=this.numPoints=d.length>>>1;if(0!==g){for(var a=0;g>a;++a){var v=d[2*a],m=d[2*a+1];isNaN(v)||isNaN(m)||(p[0]=Math.min(p[0],v),p[1]=Math.min(p[1],m),p[2]=Math.max(p[2],v),p[3]=Math.max(p[3],m))}p[0]===p[2]&&(p[2]+=1),p[3]===p[1]&&(p[3]+=1);for(var y=u.mallocFloat32(24*(g-1)),b=u.mallocUint32(12*(g-1)),x=y.length,_=b.length,s=g,w=0;s>1;){var k=--s,v=d[2*s],m=d[2*s+1],A=k-1,M=d[2*A],T=d[2*A+1];if(!(isNaN(v)||isNaN(m)||isNaN(M)||isNaN(T))){w+=1,v=(v-p[0])/(p[2]-p[0]),m=(m-p[1])/(p[3]-p[1]),M=(M-p[0])/(p[2]-p[0]),T=(T-p[1])/(p[3]-p[1]);var E=M-v,L=T-m,S=k|1<<24,C=k-1,z=k,P=k-1|1<<24;y[--x]=-L,y[--x]=-E,y[--x]=m,y[--x]=v,b[--_]=S,b[--_]=C,y[--x]=L,y[--x]=E,y[--x]=T,y[--x]=M,b[--_]=z,b[--_]=P,y[--x]=-L,y[--x]=-E,y[--x]=T,y[--x]=M,b[--_]=z,b[--_]=P,y[--x]=L,y[--x]=E,y[--x]=T,y[--x]=M,b[--_]=z,b[--_]=P,y[--x]=-L,y[--x]=-E,y[--x]=m,y[--x]=v,b[--_]=S,b[--_]=C,y[--x]=L,y[--x]=E,y[--x]=m,y[--x]=v,b[--_]=S,b[--_]=C}}this.vertCount=6*w,this.lineBuffer.update(y.subarray(x)),this.pickBuffer.update(b.subarray(_)),u.free(y),u.free(b)}},h.dispose=function(){this.plot.removeObject(this),this.lineBuffer.dispose(),this.pickBuffer.dispose(),this.lineShader.dispose(),this.mitreShader.dispose(),this.fillShader.dispose(),this.pickShader.dispose(),this.dashPattern.dispose()}},{"./lib/shaders":116,"gl-buffer":107,"gl-shader":166,"gl-texture2d":178,ndarray:225,"typedarray-pool":282}],118:[function(t,e,r){var n=t("gl-shader"),i="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvoid main() {\n vec4 projected = projection * view * model * vec4(position, 1.0);\n vec4 tangentClip = projection * view * model * vec4(nextPosition - position, 0.0);\n vec2 tangent = normalize(screenShape * tangentClip.xy);\n vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(tangent.y, -tangent.x) / screenShape;\n\n gl_Position = vec4(projected.xy + projected.w * offset, projected.zw);\n\n worldPosition = position;\n pixelArcLength = arcLength;\n fragColor = color;\n}\n",a="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float dashScale;\nuniform float opacity;\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\n discard;\n }\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n if(dashWeight < 0.5) {\n discard;\n }\n gl_FragColor = fragColor * opacity;\n}\n",o="precision mediump float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX 1.70141184e38\n#define FLOAT_MIN 1.17549435e-38\n\nlowp vec4 encode_float_1_0(highp float v) {\n highp float av = abs(v);\n\n //Handle special cases\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n }\n\n highp vec4 c = vec4(0,0,0,0);\n\n //Compute exponent and mantissa\n highp float e = floor(log2(av));\n highp float m = av * pow(2.0, -e) - 1.0;\n \n //Unpack mantissa\n c[1] = floor(128.0 * m);\n m -= c[1] / 128.0;\n c[2] = floor(32768.0 * m);\n m -= c[2] / 32768.0;\n c[3] = floor(8388608.0 * m);\n \n //Unpack exponent\n highp float ebias = e + 127.0;\n c[0] = floor(ebias / 2.0);\n ebias -= c[0] * 2.0;\n c[1] += floor(ebias) * 128.0; \n\n //Unpack sign bit\n c[0] += 128.0 * step(0.0, -v);\n\n //Scale back to range\n return c / 255.0;\n}\n\n\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\n discard;\n }\n gl_FragColor = vec4(pickId/255.0, encode_float_1_0(pixelArcLength).xyz);\n}",s=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];r.createShader=function(t){return n(t,i,a,null,s)},r.createPickShader=function(t){return n(t,i,o,null,s)}},{"gl-shader":166}],119:[function(t,e,r){"use strict";function n(t,e){for(var r=0,n=0;3>n;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function i(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;3>r;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function a(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function o(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.dirty=!0,this.pixelRatio=1}function s(t){var e=t.gl||t.scene&&t.scene.gl,r=g(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var n=v(e);n.attributes.position.location=0,n.attributes.nextPosition.location=1,n.attributes.arcLength.location=2,n.attributes.lineWidth.location=3,n.attributes.color.location=4;for(var i=l(e),a=c(e,[{buffer:i,size:3,offset:0,stride:48},{buffer:i,size:3,offset:12,stride:48},{buffer:i,size:1,offset:24,stride:48},{buffer:i,size:1,offset:28,stride:48},{buffer:i,size:4,offset:32,stride:48}]),s=d(new Array(1024),[256,1,4]),f=0;1024>f;++f)s.data[f]=255;var h=u(e,s);h.wrap=e.REPEAT;var p=new o(e,r,n,i,a,h);return p.update(t),p}e.exports=s;var l=t("gl-buffer"),c=t("gl-vao"),u=t("gl-texture2d"),f=t("glsl-read-float"),h=t("binary-search-bounds"),d=t("ndarray"),p=t("./lib/shaders"),g=p.createShader,v=p.createPickShader,m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],y=o.prototype;y.isTransparent=function(){return this.opacity<1},y.isOpaque=function(){return this.opacity>=1},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||m,view:t.view||m,projection:t.projection||m,clipBounds:i(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.drawPick=function(t){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||m,view:t.view||m,projection:t.projection||m,pickId:this.pickId,clipBounds:i(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.update=function(t){var e,r;this.dirty=!0;var i=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),"opacity"in t&&(this.opacity=+t.opacity);var a=t.position||t.positions;if(a){var o=t.color||t.colors||[0,0,0,1],s=t.lineWidth||1,l=[],c=[],u=[],f=0,p=0,g=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],v=!1;t:for(e=1;er;++r){if(isNaN(m[r])||isNaN(y[r])||!isFinite(m[r])||!isFinite(y[r])){if(!i&&l.length>0){for(var b=0;24>b;++b)l.push(l[l.length-12]);p+=2,v=!0}continue t}g[0][r]=Math.min(g[0][r],m[r],y[r]),g[1][r]=Math.max(g[1][r],m[r],y[r])}var x,_;Array.isArray(o[0])?(x=o[e-1],_=o[e]):x=_=o,3===x.length&&(x=[x[0],x[1],x[2],1]),3===_.length&&(_=[_[0],_[1],_[2],1]);var w;w=Array.isArray(s)?s[e-1]:s;var k=f;if(f+=n(m,y),v){for(r=0;2>r;++r)l.push(m[0],m[1],m[2],y[0],y[1],y[2],k,w,x[0],x[1],x[2],x[3]);p+=2,v=!1}l.push(m[0],m[1],m[2],y[0],y[1],y[2],k,w,x[0],x[1],x[2],x[3],m[0],m[1],m[2],y[0],y[1],y[2],k,-w,x[0],x[1],x[2],x[3],y[0],y[1],y[2],m[0],m[1],m[2],f,-w,_[0],_[1],_[2],_[3],y[0],y[1],y[2],m[0],m[1],m[2],f,w,_[0],_[1],_[2],_[3]),p+=4}if(this.buffer.update(l),c.push(f),u.push(a[a.length-1].slice()),this.bounds=g,this.vertexCount=p,this.points=u,this.arcLength=c,"dashes"in t){var A=t.dashes,M=A.slice();for(M.unshift(0),e=1;ee;++e){for(r=0;4>r;++r)T.set(e,0,r,0);1&h.le(M,M[M.length-1]*e/255)?T.set(e,0,0,0):T.set(e,0,0,255)}this.texture.setPixels(T)}}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=f(t.value[0],t.value[1],t.value[2],0),r=h.le(this.arcLength,e);if(0>r)return null;if(r===this.arcLength.length-1)return new a(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],o=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),s=1-o,l=[0,0,0],c=0;3>c;++c)l[c]=s*n[c]+o*i[c];var u=Math.min(.5>o?r:r+1,this.points.length-1);return new a(e,l,u,this.points[u])}},{"./lib/shaders":118,"binary-search-bounds":47,"gl-buffer":107,"gl-texture2d":178,"gl-vao":182,"glsl-read-float":189,ndarray:225}],120:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r*a-i*n;return o?(o=1/o,t[0]=a*o,t[1]=-n*o,t[2]=-i*o,t[3]=r*o,t):null}e.exports=n},{}],121:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=u*o-s*c,h=-u*a+s*l,d=c*a-o*l,p=r*f+n*h+i*d;return p?(p=1/p,t[0]=f*p,t[1]=(-u*n+i*c)*p,t[2]=(s*n-i*o)*p,t[3]=h*p,t[4]=(u*r-i*l)*p,t[5]=(-s*r+i*a)*p,t[6]=d*p,t[7]=(-c*r+n*l)*p,t[8]=(o*r-n*a)*p,t):null}e.exports=n},{}],122:[function(t,e,r){function n(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}e.exports=n},{}],123:[function(t,e,r){function n(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],124:[function(t,e,r){function n(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],f=t[10],h=t[11],d=t[12],p=t[13],g=t[14],v=t[15],m=e*o-r*a,y=e*s-n*a,b=e*l-i*a,x=r*s-n*o,_=r*l-i*o,w=n*l-i*s,k=c*p-u*d,A=c*g-f*d,M=c*v-h*d,T=u*g-f*p,E=u*v-h*p,L=f*v-h*g;return m*L-y*E+b*T+x*M-_*A+w*k}e.exports=n},{}],125:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,f=n*s,h=i*o,d=i*s,p=i*l,g=a*o,v=a*s,m=a*l;return t[0]=1-f-p,t[1]=u+m,t[2]=h-v,t[3]=0,t[4]=u-m,t[5]=1-c-p,t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-c-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],126:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,f=n*l,h=n*c,d=i*l,p=i*c,g=a*c,v=o*s,m=o*l,y=o*c;return t[0]=1-(d+g),t[1]=f+y,t[2]=h-m,t[3]=0,t[4]=f-y,t[5]=1-(u+g),t[6]=p+v,t[7]=0,t[8]=h+m,t[9]=p-v,t[10]=1-(u+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}e.exports=n},{}],127:[function(t,e,r){function n(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],128:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],d=e[11],p=e[12],g=e[13],v=e[14],m=e[15],y=r*s-n*o,b=r*l-i*o,x=r*c-a*o,_=n*l-i*s,w=n*c-a*s,k=i*c-a*l,A=u*g-f*p,M=u*v-h*p,T=u*m-d*p,E=f*v-h*g,L=f*m-d*g,S=h*m-d*v,C=y*S-b*L+x*E+_*T-w*M+k*A;return C?(C=1/C,t[0]=(s*S-l*L+c*E)*C,t[1]=(i*L-n*S-a*E)*C,t[2]=(g*k-v*w+m*_)*C,t[3]=(h*w-f*k-d*_)*C,t[4]=(l*T-o*S-c*M)*C,t[5]=(r*S-i*T+a*M)*C,t[6]=(v*x-p*k-m*b)*C,t[7]=(u*k-h*x+d*b)*C,t[8]=(o*L-s*T+c*A)*C,t[9]=(n*T-r*L-a*A)*C,t[10]=(p*w-g*x+m*y)*C,t[11]=(f*x-u*w-d*y)*C,t[12]=(s*M-o*E-l*A)*C,t[13]=(r*E-n*M+i*A)*C,t[14]=(g*b-p*_-v*y)*C,t[15]=(u*_-f*b+h*y)*C,t):null}e.exports=n},{}],129:[function(t,e,r){function n(t,e,r,n){var a,o,s,l,c,u,f,h,d,p,g=e[0],v=e[1],m=e[2],y=n[0],b=n[1],x=n[2],_=r[0],w=r[1],k=r[2];return Math.abs(g-_)<1e-6&&Math.abs(v-w)<1e-6&&Math.abs(m-k)<1e-6?i(t):(f=g-_,h=v-w,d=m-k,p=1/Math.sqrt(f*f+h*h+d*d),f*=p,h*=p,d*=p,a=b*d-x*h,o=x*f-y*d,s=y*h-b*f,p=Math.sqrt(a*a+o*o+s*s),p?(p=1/p,a*=p,o*=p,s*=p):(a=0,o=0,s=0),l=h*s-d*o,c=d*a-f*s,u=f*o-h*a,p=Math.sqrt(l*l+c*c+u*u),p?(p=1/p,l*=p,c*=p,u*=p):(l=0,c=0,u=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=d,t[11]=0,t[12]=-(a*g+o*v+s*m),t[13]=-(l*g+c*v+u*m),t[14]=-(f*g+h*v+d*m),t[15]=1,t)}var i=t("./identity");e.exports=n},{"./identity":127}],130:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],d=e[10],p=e[11],g=e[12],v=e[13],m=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*f+w*g,t[1]=b*i+x*l+_*h+w*v,t[2]=b*a+x*c+_*d+w*m,t[3]=b*o+x*u+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*f+w*g,t[5]=b*i+x*l+_*h+w*v,t[6]=b*a+x*c+_*d+w*m,t[7]=b*o+x*u+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*f+w*g,t[9]=b*i+x*l+_*h+w*v,t[10]=b*a+x*c+_*d+w*m,t[11]=b*o+x*u+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*f+w*g,t[13]=b*i+x*l+_*h+w*v,t[14]=b*a+x*c+_*d+w*m,t[15]=b*o+x*u+_*p+w*y,t}e.exports=n},{}],131:[function(t,e,r){function n(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}e.exports=n},{}],132:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,c,u,f,h,d,p,g,v,m,y,b,x,_,w,k,A,M,T,E,L=n[0],S=n[1],C=n[2],z=Math.sqrt(L*L+S*S+C*C);return Math.abs(z)<1e-6?null:(z=1/z,L*=z,S*=z,C*=z,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],d=e[6],p=e[7],g=e[8],v=e[9],m=e[10],y=e[11],b=L*L*o+a,x=S*L*o+C*i,_=C*L*o-S*i,w=L*S*o-C*i,k=S*S*o+a,A=C*S*o+L*i,M=L*C*o+S*i,T=S*C*o-L*i,E=C*C*o+a,t[0]=s*b+f*x+g*_,t[1]=l*b+h*x+v*_,t[2]=c*b+d*x+m*_,t[3]=u*b+p*x+y*_,t[4]=s*w+f*k+g*A,t[5]=l*w+h*k+v*A,t[6]=c*w+d*k+m*A,t[7]=u*w+p*k+y*A,t[8]=s*M+f*T+g*E,t[9]=l*M+h*T+v*E,t[10]=c*M+d*T+m*E,t[11]=u*M+p*T+y*E,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}e.exports=n},{}],133:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}e.exports=n},{}],134:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}e.exports=n},{}],135:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}e.exports=n},{}],136:[function(t,e,r){function n(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}e.exports=n},{}],137:[function(t,e,r){function n(t,e,r){var n,i,a,o,s,l,c,u,f,h,d,p,g=r[0],v=r[1],m=r[2];return e===t?(t[12]=e[0]*g+e[4]*v+e[8]*m+e[12],t[13]=e[1]*g+e[5]*v+e[9]*m+e[13],t[14]=e[2]*g+e[6]*v+e[10]*m+e[14],t[15]=e[3]*g+e[7]*v+e[11]*m+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=d,t[11]=p,t[12]=n*g+s*v+f*m+e[12],t[13]=i*g+l*v+h*m+e[13],t[14]=a*g+c*v+d*m+e[14],t[15]=o*g+u*v+p*m+e[15]),t}e.exports=n},{}],138:[function(t,e,r){function n(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}e.exports=n},{}],139:[function(t,e,r){"use strict";function n(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:i(t,e);break;case 9:a(t,e);break;case 16:o(t,e);break;default:throw new Error("currently supports matrices up to 4x4")}return t}e.exports=n;var i=t("gl-mat2/invert"),a=t("gl-mat3/invert"),o=t("gl-mat4/invert")},{"gl-mat2/invert":120,"gl-mat3/invert":121,"gl-mat4/invert":128}],140:[function(t,e,r){"use strict";function n(t,e){for(var r=[0,0,0,0],n=0;4>n;++n)for(var i=0;4>i;++i)r[i]+=t[4*n+i]*e[n];return r}function i(t,e,r,i,a){for(var o=n(i,n(r,n(e,[t[0],t[1],t[2],1]))),s=0;3>s;++s)o[s]/=o[3];return[.5*a[0]*(1+o[0]),.5*a[1]*(1-o[1])]}function a(t,e){if(2===t.length){for(var r=0,n=0,i=0;2>i;++i)r+=Math.pow(e[i]-t[0][i],2),n+=Math.pow(e[i]-t[1][i],2);return r=Math.sqrt(r),n=Math.sqrt(n),1e-6>r+n?[1,0]:[n/(r+n),r/(n+r)]}if(3===t.length){var a=[0,0];return c(t[0],t[1],t[2],e,a),l(t,a)}return[]}function o(t,e){for(var r=[0,0,0],n=0;no;++o)r[o]+=a*i[o];return r}function s(t,e,r,n,s,l){if(1===t.length)return[0,t[0].slice()];for(var c=new Array(t.length),u=0;up;++p)d+=Math.pow(c[u][p]-e[p],2);h>d&&(h=d,f=u)}for(var g=a(c,e),v=0,u=0;3>u;++u){if(g[u]<-.001||g[u]>1.0001)return null;v+=g[u]}return Math.abs(v-1)>.001?null:[f,o(t,g),g]}var l=t("barycentric"),c=t("polytope-closest-point/lib/closest_point_2d.js");e.exports=s},{barycentric:29,"polytope-closest-point/lib/closest_point_2d.js":238}],141:[function(t,e,r){var n="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n , view\n , projection;\nuniform vec3 eyePosition\n , lightPosition;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n vec4 m_position = model * vec4(position, 1.0);\n vec4 t_position = view * m_position;\n gl_Position = projection * t_position;\n f_color = color;\n f_normal = normal;\n f_data = position;\n f_eyeDirection = eyePosition - position;\n f_lightDirection = lightPosition - position;\n f_uv = uv;\n}",i="precision mediump float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution_2_0(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\n\n\nfloat cookTorranceSpecular_1_1(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution_2_0(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n , fresnel\n , kambient\n , kdiffuse\n , kspecular\n , opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if(any(lessThan(f_data, clipBounds[0])) || \n any(greaterThan(f_data, clipBounds[1]))) {\n discard;\n }\n\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n \n if(!gl_FrontFacing) {\n N = -N;\n }\n\n float specular = cookTorranceSpecular_1_1(L, V, N, roughness, fresnel);\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}",a="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_color = color;\n f_data = position;\n f_uv = uv;\n}",o="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n if(any(lessThan(f_data, clipBounds[0])) || \n any(greaterThan(f_data, clipBounds[1]))) {\n discard;\n }\n\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}",s="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || \n any(greaterThan(position, clipBounds[1]))) {\n gl_Position = vec4(0,0,0,0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n }\n gl_PointSize = pointSize;\n f_color = color;\n f_uv = uv;\n}",l="precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n vec2 pointR = gl_PointCoord.xy - vec2(0.5,0.5);\n if(dot(pointR, pointR) > 0.25) {\n discard;\n }\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}",c="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_id = id;\n f_position = position;\n}",u="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if(any(lessThan(f_position, clipBounds[0])) || \n any(greaterThan(f_position, clipBounds[1]))) {\n discard;\n }\n gl_FragColor = vec4(pickId, f_id.xyz);\n}",f="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute float pointSize;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || \n any(greaterThan(position, clipBounds[1]))) {\n gl_Position = vec4(0,0,0,0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n gl_PointSize = pointSize;\n }\n f_id = id;\n f_position = position;\n}",h="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n}",d="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n gl_FragColor = vec4(contourColor,1);\n}\n"; -r.meshShader={vertex:n,fragment:i,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.wireShader={vertex:a,fragment:o,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.pointShader={vertex:s,fragment:l,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},r.pickShader={vertex:c,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},r.pointPickShader={vertex:f,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},r.contourShader={vertex:h,fragment:d,attributes:[{name:"position",type:"vec3"}]}},{}],142:[function(t,e,r){"use strict";function n(t,e,r,n,i,a,o,s,l,c,u,f,h,d,p,g,v,m,y,b,x,_,w,k,A,M,T){this.gl=t,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=d,this.triangleCount=0,this.lineWidth=1,this.edgePositions=p,this.edgeColors=v,this.edgeUVs=m,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=b,this.pointColors=_,this.pointUVs=w,this.pointSizes=k,this.pointIds=x,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=T,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this._model=I,this._view=I,this._projection=I,this._resolution=[1,1]}function i(t){for(var e=A({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;256>n;++n){for(var i=e[n],a=0;3>a;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return k(r,[256,256,4],[4,0,1])}function a(t,e,r){for(var n=new Array(e),i=0;e>i;++i)n[i]=0;for(var a=t.length,i=0;a>i;++i)for(var o=t[i],s=0;sn;++n)r[n]=t[n][2];return r}function s(t){var e=v(t,S);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function l(t){var e=v(t,C);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function c(t){var e=v(t,z);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function u(t){var e=v(t,P);return e.attributes.position.location=0,e.attributes.id.location=1,e}function f(t){var e=v(t,R);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function h(t){var e=v(t,O);return e.attributes.position.location=0,e}function d(t){var e=t.gl,r=s(e),i=l(e),a=c(e),o=u(e),d=f(e),p=h(e),g=b(e,k(new Uint8Array([255,255,255,255]),[1,1,4]));g.generateMipmap(),g.minFilter=e.LINEAR_MIPMAP_LINEAR,g.magFilter=e.LINEAR;var v=m(e),x=m(e),_=m(e),w=m(e),A=m(e),M=y(e,[{buffer:v,type:e.FLOAT,size:3},{buffer:A,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:x,type:e.FLOAT,size:4},{buffer:_,type:e.FLOAT,size:2},{buffer:w,type:e.FLOAT,size:3}]),T=m(e),E=m(e),L=m(e),S=m(e),C=y(e,[{buffer:T,type:e.FLOAT,size:3},{buffer:S,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:E,type:e.FLOAT,size:4},{buffer:L,type:e.FLOAT,size:2}]),z=m(e),P=m(e),R=m(e),O=m(e),I=m(e),N=y(e,[{buffer:z,type:e.FLOAT,size:3},{buffer:I,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:P,type:e.FLOAT,size:4},{buffer:R,type:e.FLOAT,size:2},{buffer:O,type:e.FLOAT,size:1}]),j=m(e),F=y(e,[{buffer:j,type:e.FLOAT,size:3}]),B=new n(e,g,r,i,a,o,d,p,v,A,x,_,w,M,T,S,E,L,C,z,I,P,R,O,N,j,F);return B.update(t),B}var p=1e-6,g=1e-6,v=t("gl-shader"),m=t("gl-buffer"),y=t("gl-vao"),b=t("gl-texture2d"),x=t("normals"),_=t("gl-mat4/multiply"),w=t("gl-mat4/invert"),k=t("ndarray"),A=t("colormap"),M=t("simplicial-complex-contour"),T=t("typedarray-pool"),E=t("./lib/shaders"),L=t("./lib/closest-point"),S=E.meshShader,C=E.wireShader,z=E.pointShader,P=E.pickShader,R=E.pointPickShader,O=E.contourShader,I=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],N=n.prototype;N.isOpaque=function(){return this.opacity>=1},N.isTransparent=function(){return this.opacity<1},N.pickSlots=1,N.setPickBase=function(t){this.pickId=t},N.highlight=function(t){if(!t||!this.contourEnable)return void(this.contourCount=0);for(var e=M(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=T.mallocFloat32(6*a),s=0,l=0;a>l;++l)for(var c=r[l],u=0;2>u;++u){var f=c[0];2===c.length&&(f=c[u]);for(var h=n[f][0],d=n[f][1],p=i[f],g=1-p,v=this.positions[h],m=this.positions[d],y=0;3>y;++y)o[s++]=p*v[y]+g*m[y]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),T.free(o)},N.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=b(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(i(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var s=[],l=[],c=[],u=[],f=[],h=[],d=[],v=[],m=[],y=[],_=[],w=[],k=[],A=[];this.cells=r,this.positions=n;var M=t.vertexNormals,T=t.cellNormals,E=void 0===t.vertexNormalsEpsilon?p:t.vertexNormalsEpsilon,L=void 0===t.faceNormalsEpsilon?g:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=x.faceNormals(r,n,L)),T||M||(M=x.vertexNormals(r,n,E));var S=t.vertexColors,C=t.cellColors,z=t.meshColor||[1,1,1,1],P=t.vertexUVs,R=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,N=1/0,j=-(1/0);if(!P&&!O)if(R)for(var F=0;Fq;++q)!isNaN(V[q])&&isFinite(V[q])&&(this.bounds[0][q]=Math.min(this.bounds[0][q],V[q]),this.bounds[1][q]=Math.max(this.bounds[1][q],V[q]));var H=0,G=0,Y=0;t:for(var F=0;Fq;++q)if(isNaN(V[q])||!isFinite(V[q]))continue t;y.push(V[0],V[1],V[2]);var Z;Z=S?S[W]:C?C[F]:z,3===Z.length?_.push(Z[0],Z[1],Z[2],1):_.push(Z[0],Z[1],Z[2],Z[3]);var K;K=P?P[W]:R?[(R[W]-N)/(j-N),0]:O?O[F]:I?[(I[F]-N)/(j-N),0]:[(V[2]-N)/(j-N),0],w.push(K[0],K[1]),D?k.push(D[W]):k.push(U),A.push(F),Y+=1;break;case 2:for(var q=0;2>q;++q)for(var W=X[q],V=n[W],Q=0;3>Q;++Q)if(isNaN(V[Q])||!isFinite(V[Q]))continue t;for(var q=0;2>q;++q){var W=X[q],V=n[W];h.push(V[0],V[1],V[2]);var Z;Z=S?S[W]:C?C[F]:z,3===Z.length?d.push(Z[0],Z[1],Z[2],1):d.push(Z[0],Z[1],Z[2],Z[3]);var K;K=P?P[W]:R?[(R[W]-N)/(j-N),0]:O?O[F]:I?[(I[F]-N)/(j-N),0]:[(V[2]-N)/(j-N),0],v.push(K[0],K[1]),m.push(F)}G+=1;break;case 3:for(var q=0;3>q;++q)for(var W=X[q],V=n[W],Q=0;3>Q;++Q)if(isNaN(V[Q])||!isFinite(V[Q]))continue t;for(var q=0;3>q;++q){var W=X[q],V=n[W];s.push(V[0],V[1],V[2]);var Z;Z=S?S[W]:C?C[F]:z,3===Z.length?l.push(Z[0],Z[1],Z[2],1):l.push(Z[0],Z[1],Z[2],Z[3]);var K;K=P?P[W]:R?[(R[W]-N)/(j-N),0]:O?O[F]:I?[(I[F]-N)/(j-N),0]:[(V[2]-N)/(j-N),0],u.push(K[0],K[1]);var $;$=M?M[W]:T[F],c.push($[0],$[1],$[2]),f.push(F)}H+=1}}this.pointCount=Y,this.edgeCount=G,this.triangleCount=H,this.pointPositions.update(y),this.pointColors.update(_),this.pointUVs.update(w),this.pointSizes.update(k),this.pointIds.update(new Uint32Array(A)),this.edgePositions.update(h),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(s),this.triangleColors.update(l),this.triangleUVs.update(u),this.triangleNormals.update(c),this.triangleIds.update(new Uint32Array(f))}},N.drawTransparent=N.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||I,n=t.view||I,i=t.projection||I,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;3>o;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,contourColor:this.contourColor,texture:0};this.texture.bind(0);var l=new Array(16);_(l,s.view,s.model),_(l,s.projection,l),w(l,l);for(var o=0;3>o;++o)s.eyePosition[o]=l[12+o]/l[15];for(var c=l[15],o=0;3>o;++o)c+=this.lightPosition[o]*l[4*o+3];for(var o=0;3>o;++o){for(var u=l[12+o],f=0;3>f;++f)u+=l[4*f+o]*this.lightPosition[f];s.lightPosition[o]=u/c}if(this.triangleCount>0){var h=this.triShader;h.bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var h=this.lineShader;h.bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()}if(this.pointCount>0){var h=this.pointShader;h.bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var h=this.contourShader;h.bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind()}},N.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||I,n=t.view||I,i=t.projection||I,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;3>o;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255},l=this.pickShader;if(l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0){var l=this.pointPickShader;l.bind(),l.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}},N.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;ag;++g){var v=l[g],m=l[g+2],y=m-v,b=.5*(c[g+2]+c[g]),x=c[g+2]-c[g];e[g]=2*y/x,t[g]=2*(v-b)/x}a.bind(),i.bind(),a.attributes.dataCoord.pointer(),a.uniforms.dataShift=t,a.uniforms.dataScale=e;for(var _=0,g=0;2>g;++g){r[0]=r[1]=0,r[g]=1,a.uniforms.dataAxis=r,a.uniforms.lineWidth=f[g]/(u[g+2]-u[g])*p,a.uniforms.color=h[g];var w=6*o[g].length;d[g]&&w&&s.drawArrays(s.TRIANGLES,_,w),_+=w}}}(),u.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,d=s._tickBounds,p=s.dataBox,g=s.viewBox,v=s.pixelRatio,m=s.screenBox,y=m[2]-m[0],b=m[3]-m[1],x=g[2]-g[0],_=g[3]-g[1],w=0;2>w;++w){var k=d[w],A=d[w+2],M=A-k,T=.5*(p[w+2]+p[w]),E=p[w+2]-p[w];e[w]=2*M/E,t[w]=2*(k-T)/E}e[0]*=x/y,t[0]*=x/y,e[1]*=_/b,t[1]*=_/b,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var L=u.uniforms;L.dataShift=t,L.dataScale=e;var S=s.tickMarkLength,C=s.tickMarkWidth,z=s.tickMarkColor,P=0,R=6*f[0].length,O=Math.min(l.ge(f[0],(p[0]-d[0])/(d[2]-d[0]),i),f[0].length),I=Math.min(l.gt(f[0],(p[2]-d[0])/(d[2]-d[0]),i),f[0].length),N=P+6*O,j=6*Math.max(0,I-O),F=Math.min(l.ge(f[1],(p[1]-d[1])/(d[3]-d[1]),i),f[1].length),B=Math.min(l.gt(f[1],(p[3]-d[1])/(d[3]-d[1]),i),f[1].length),D=R+6*F,U=6*Math.max(0,B-F);a[0]=2*(g[0]-S[1])/y-1,a[1]=(g[3]+g[1])/b-1,o[0]=S[1]*v/y,o[1]=C[1]*v/b,U&&(L.color=z[1],L.tickScale=o,L.dataAxis=n,L.screenOffset=a,h.drawArrays(h.TRIANGLES,D,U)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[1]-S[0])/b-1,o[0]=C[0]*v/y,o[1]=S[0]*v/b,j&&(L.color=z[0],L.tickScale=o,L.dataAxis=r,L.screenOffset=a,h.drawArrays(h.TRIANGLES,N,j)),a[0]=2*(g[2]+S[3])/y-1,a[1]=(g[3]+g[1])/b-1,o[0]=S[3]*v/y,o[1]=C[3]*v/b,U&&(L.color=z[3],L.tickScale=o,L.dataAxis=n,L.screenOffset=a,h.drawArrays(h.TRIANGLES,D,U)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[3]+S[2])/b-1,o[0]=C[2]*v/y,o[1]=S[2]*v/b,j&&(L.color=z[2],L.tickScale=o,L.dataAxis=r,L.screenOffset=a,h.drawArrays(h.TRIANGLES,N,j))}}(),u.update=function(){var t=[1,1,-1,-1,1,-1],e=[1,-1,1,1,-1,-1];return function(r){for(var n=r.ticks,i=r.bounds,a=new Float32Array(18*(n[0].length+n[1].length)),o=(this.plot.zeroLineEnable,0),s=[[],[]],l=0;2>l;++l)for(var c=s[l],u=n[l],f=i[l],h=i[l+2],d=0;dg;++g)a[o++]=p,a[o++]=t[g],a[o++]=e[g]}this.ticks=s,this.vbo.update(a)}}(),u.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{"./shaders":146,"binary-search-bounds":148,"gl-buffer":107,"gl-shader":166}],145:[function(t,e,r){"use strict";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r}function i(t){var e=t.gl,r=a(e,[-1,-1,-1,1,1,-1,1,1]),i=o(e,s.lineVert,s.lineFrag),l=new n(t,r,i);return l}e.exports=i;var a=t("gl-buffer"),o=t("gl-shader"),s=t("./shaders"),l=n.prototype;l.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},l.drawLine=function(){var t=[0,0],e=[0,0];return function(r,n,i,a,o,s){var l=this.plot,c=this.shader,u=l.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,c.uniforms.start=t,c.uniforms.end=e,c.uniforms.width=o*l.pixelRatio,c.uniforms.color=s,u.drawArrays(u.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":146,"gl-buffer":107,"gl-shader":166}],146:[function(t,e,r){"use strict";var n="precision lowp float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n gl_FragColor = vec4(color.xyz * color.w, color.w);\n}\n";e.exports={lineVert:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 start, end;\nuniform float width;\n\nvec2 perp(vec2 v) {\n return vec2(v.y, -v.x);\n}\n\nvec2 screen(vec2 v) {\n return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n vec2 delta = normalize(perp(start - end));\n vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\n gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n",lineFrag:n,textVert:"#define GLSLIFY 1\nattribute vec3 textCoordinate;\n\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\nuniform float angle;\n\nvoid main() {\n float dataOffset = textCoordinate.z;\n vec2 glyphOffset = textCoordinate.xy;\n mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\n vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\n glyphMatrix * glyphOffset * textScale + screenOffset;\n gl_Position = vec4(screenCoordinate, 0, 1);\n}\n",textFrag:n,gridVert:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale;\nuniform float lineWidth;\n\nvoid main() {\n vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\n gl_Position = vec4(pos, 0, 1);\n}\n",gridFrag:n,boxVert:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 lo, hi;\n\nvec2 screen(vec2 v) {\n return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\n}\n",tickVert:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\n\nvoid main() {\n vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\n}\n"}},{}],147:[function(t,e,r){"use strict";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}function i(t){var e=t.gl,r=a(e),i=o(e,c.textVert,c.textFrag),s=new n(t,r,i);return s}e.exports=i;var a=t("gl-buffer"),o=t("gl-shader"),s=t("text-cache"),l=t("binary-search-bounds"),c=t("./shaders"),u=n.prototype;u.drawTicks=function(){var t=[0,0],e=[0,0],r=[0,0];return function(n){var i=this.plot,a=this.shader,o=this.tickX[n],s=this.tickOffset[n],c=i.gl,u=i.viewBox,f=i.dataBox,h=i.screenBox,d=i.pixelRatio,p=i.tickEnable,g=i.tickPad,v=i.tickColor,m=i.tickAngle,y=(i.tickMarkLength,i.labelEnable),b=i.labelPad,x=i.labelColor,_=i.labelAngle,w=this.labelOffset[n],k=this.labelCount[n],A=l.lt(o,f[n]),M=l.le(o,f[n+2]);t[0]=t[1]=0,t[n]=1,e[n]=(u[2+n]+u[n])/(h[2+n]-h[n])-1;var T=2/h[2+(1^n)]-h[1^n];e[1^n]=T*u[1^n]-1,p[n]&&(e[1^n]-=T*d*g[n],M>A&&s[M]>s[A]&&(a.uniforms.dataAxis=t,a.uniforms.screenOffset=e,a.uniforms.color=v[n],a.uniforms.angle=m[n],c.drawArrays(c.TRIANGLES,s[A],s[M]-s[A]))),y[n]&&k&&(e[1^n]-=T*d*b[n],a.uniforms.dataAxis=r,a.uniforms.screenOffset=e,a.uniforms.color=x[n],a.uniforms.angle=_[n],c.drawArrays(c.TRIANGLES,w,k)),e[1^n]=T*u[2+(1^n)]-1,p[n+2]&&(e[1^n]+=T*d*g[n+2],M>A&&s[M]>s[A]&&(a.uniforms.dataAxis=t,a.uniforms.screenOffset=e,a.uniforms.color=v[n+2],a.uniforms.angle=m[n+2],c.drawArrays(c.TRIANGLES,s[A],s[M]-s[A]))),y[n+2]&&k&&(e[1^n]+=T*d*b[n+2],a.uniforms.dataAxis=r,a.uniforms.screenOffset=e,a.uniforms.color=x[n+2],a.uniforms.angle=_[n+2],c.drawArrays(c.TRIANGLES,w,k))}}(),u.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,o=r.titleCenter,c=r.pixelRatio;if(this.titleCount){for(var u=0;2>u;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),u.bind=function(){var t=[0,0],e=[0,0],r=[0,0];return function(){var n=this.plot,i=this.shader,a=n._tickBounds,o=n.dataBox,s=n.screenBox,l=n.viewBox;i.bind();for(var c=0;2>c;++c){var u=a[c],f=a[c+2],h=f-u,d=.5*(o[c+2]+o[c]),p=o[c+2]-o[c],g=l[c],v=l[c+2],m=v-g,y=s[c],b=s[c+2],x=b-y;e[c]=2*h/p*m/x,t[c]=2*(u-d)/p*m/x}r[1]=2*n.pixelRatio/(s[3]-s[1]),r[0]=r[1]*(s[3]-s[1])/(s[2]-s[0]),i.uniforms.dataScale=e,i.uniforms.dataShift=t,i.uniforms.textScale=r,this.vbo.bind(),i.attributes.textCoordinate.pointer()}}(),u.update=function(t){for(var e=[],r=t.ticks,n=t.bounds,i=0;2>i;++i){for(var a=[Math.floor(e.length/3)],o=[-(1/0)],l=r[i],c=0;ci;++i){this.labelOffset[i]=Math.floor(e.length/3);for(var g=s(t.labelFont[i],t.labels[i]).data,p=t.labelSize[i],c=0;cp;++p)if(f[p]&&n[p]<=0&&n[p+2]>=0){var g=e[p]-n[p]*(e[p+2]-e[p])/(n[p+2]-n[p]);0===p?o.drawLine(g,e[1],g,e[3],d[p],h[p]):o.drawLine(e[0],g,e[2],g,d[p],h[p])}}for(var p=0;pp;++p)s.drawTicks(p);this.titleEnable&&s.drawTitle();for(var b=this.overlays,p=0;pc;++c){var u=s[c].slice(0);0!==u.length&&(u.sort(a),l[c]=Math.min(l[c],u[0].x),l[c+2]=Math.max(l[c+2],u[u.length-1].x))}this.grid.update({bounds:l,ticks:s}),this.text.update({bounds:l,ticks:s,labels:t.labels||["x","y"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||["sans-serif","sans-serif"],title:t.title||"",titleSize:t.titleSize||18,titleFont:t.titleFont||"sans-serif"}),this.setDirty()},h.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(var t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},h.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},h.removeObject=function(t){for(var e=this.objects,r=0;re){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){var r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function o(t){return"boolean"==typeof t?t:!0}function s(t){function e(){if(!_&&H.autoResize){var t=w.parentNode,e=1,r=1;t&&t!==document.body?(e=t.clientWidth,r=t.clientHeight):(e=window.innerWidth,r=window.innerHeight);var n=0|Math.ceil(e*H.pixelRatio),i=0|Math.ceil(r*H.pixelRatio);if(n!==w.width||i!==w.height){w.width=n,w.height=i;var a=w.style;a.position=a.position||"absolute",a.left="0px",a.top="0px",a.width=e+"px",a.height=r+"px",F=!0}}}function r(){for(var t=O.length,e=j.length,r=0;e>r;++r)N[r]=0;t:for(var r=0;t>r;++r){var n=O[r],i=n.pickSlots;if(i){for(var a=0;e>a;++a)if(N[a]+i<255){I[r]=a,n.setPickBase(N[a]+1),N[a]+=i;continue t}var o=h(A,q);I[r]=e,j.push(o),N.push(i),n.setPickBase(1),e+=1}else I[r]=-1}for(;e>0&&0===N[e-1];)N.pop(),j.pop().dispose()}function s(){return H.contextLost?!0:void(A.isContextLost()&&(H.contextLost=!0,H.mouseListener.enabled=!1,H.selection.object=null,H.oncontextloss&&H.oncontextloss()))}function y(){if(!s()){A.colorMask(!0,!0,!0,!0),A.depthMask(!0),A.disable(A.BLEND),A.enable(A.DEPTH_TEST);for(var t=O.length,e=j.length,r=0;e>r;++r){var n=j[r];n.shape=G,n.begin();for(var i=0;t>i;++i)if(I[i]===r){var a=O[i];a.drawPick&&(a.pixelRatio=1,a.drawPick(V))}n.end()}}}function b(){if(!s()){e();var t=H.camera.tick();V.view=H.camera.matrix,F=F||t,B=B||t,z.pixelRatio=H.pixelRatio,R.pixelRatio=H.pixelRatio;var r=O.length,n=W[0],i=W[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-(1/0);for(var o=0;r>o;++o){var l=O[o];l.pixelRatio=H.pixelRatio,l.axes=H.axes,F=F||!!l.dirty,B=B||!!l.dirty;var c=l.bounds;if(c)for(var f=c[0],h=c[1],d=0;3>d;++d)n[d]=Math.min(n[d],f[d]),i[d]=Math.max(i[d],h[d])}var g=H.bounds;if(H.autoBounds)for(var d=0;3>d;++d){if(i[d]d;++d)b=b||Z[0][d]!==g[0][d]||Z[1][d]!==g[1][d],Z[0][d]=g[0][d],Z[1][d]=g[1][d];if(b){for(var x=[0,0,0],o=0;3>o;++o)x[o]=a((g[1][o]-g[0][o])/10);z.autoTicks?z.update({bounds:g,tickSpacing:x}):z.update({bounds:g})}B=B||b,F=F||b;var _=A.drawingBufferWidth,w=A.drawingBufferHeight;q[0]=_,q[1]=w,G[0]=0|Math.max(_/H.pixelRatio,1),G[1]=0|Math.max(w/H.pixelRatio,1),v(D,H.fovy,_/w,H.zNear,H.zFar);for(var o=0;16>o;++o)U[o]=0;U[15]=1;for(var k=0,o=0;3>o;++o)k=Math.max(k,g[1][o]-g[0][o]);for(var o=0;3>o;++o)H.autoScale?U[5*o]=H.aspect[o]/(g[1][o]-g[0][o]):U[5*o]=1/k,H.autoCenter&&(U[12+o]=.5*-U[5*o]*(g[0][o]+g[1][o]));for(var o=0;r>o;++o){var l=O[o];l.axesBounds=g,H.clipToBounds&&(l.clipBounds=g)}if(T.object&&(H.snapToData?R.position=T.dataCoordinate:R.position=T.dataPosition,R.bounds=g),B&&(B=!1,y()),F){H.axesPixels=u(H.axes,V,_,w),H.onrender&&H.onrender(),A.bindFramebuffer(A.FRAMEBUFFER,null),A.viewport(0,0,_,w);var M=H.clearColor;A.clearColor(M[0],M[1],M[2],M[3]),A.clear(A.COLOR_BUFFER_BIT|A.DEPTH_BUFFER_BIT),A.depthMask(!0),A.colorMask(!0,!0,!0,!0),A.enable(A.DEPTH_TEST),A.depthFunc(A.LEQUAL),A.disable(A.BLEND),A.disable(A.CULL_FACE);var S=!1;z.enable&&(S=S||z.isTransparent(),z.draw(V)),R.axes=z,T.object&&R.draw(V),A.disable(A.CULL_FACE);for(var o=0;r>o;++o){var l=O[o];l.axes=z,l.pixelRatio=H.pixelRatio,l.isOpaque&&l.isOpaque()&&l.draw(V),l.isTransparent&&l.isTransparent()&&(S=!0)}if(S){E.shape=q,E.bind(),A.clear(A.DEPTH_BUFFER_BIT),A.colorMask(!1,!1,!1,!1),A.depthMask(!0),A.depthFunc(A.LESS),z.enable&&z.isTransparent()&&z.drawTransparent(V);for(var o=0;r>o;++o){var l=O[o];l.isOpaque&&l.isOpaque()&&l.draw(V)}A.enable(A.BLEND),A.blendEquation(A.FUNC_ADD),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.colorMask(!0,!0,!0,!0),A.depthMask(!1),A.clearColor(0,0,0,0),A.clear(A.COLOR_BUFFER_BIT),z.isTransparent()&&z.drawTransparent(V);for(var o=0;r>o;++o){var l=O[o];l.isTransparent&&l.isTransparent()&&l.drawTransparent(V)}A.bindFramebuffer(A.FRAMEBUFFER,null),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.disable(A.DEPTH_TEST),L.bind(),E.color[0].bind(0),L.uniforms.accumBuffer=0,p(A),A.disable(A.BLEND)}F=!1;for(var o=0;r>o;++o)O[o].dirty=!1}}}function x(){_||H.contextLost||(requestAnimationFrame(x),b())}t=t||{};var _=!1,w=(t.pixelRatio||parseFloat(window.devicePixelRatio),t.canvas);if(!w)if(w=document.createElement("canvas"),t.container){var k=t.container;k.appendChild(w)}else document.body.appendChild(w);var A=t.gl;if(A||(A=i(w,t.glOptions||{premultipliedAlpha:!0,antialias:!0})),!A)throw new Error("webgl not supported");var M=t.bounds||[[-10,-10,-10],[10,10,10]],T=new n,E=d(A,[A.drawingBufferWidth,A.drawingBufferHeight],{preferFloat:!0}),L=m(A),S=t.camera||{eye:[2,0,0],center:[0,0,0],up:[0,1,0],zoomMin:.1,zoomMax:100,mode:"turntable"},C=t.axes||{},z=c(A,C);z.enable=!C.disable;var P=t.spikes||{},R=f(A,P),O=[],I=[],N=[],j=[],F=!0,B=!0,D=new Array(16),U=new Array(16),V={view:null,projection:D,model:U},B=!0,q=[A.drawingBufferWidth,A.drawingBufferHeight],H={gl:A,contextLost:!1,pixelRatio:t.pixelRatio||parseFloat(window.devicePixelRatio),canvas:w,selection:T,camera:l(w,S),axes:z,axesPixels:null,spikes:R,bounds:M,objects:O,shape:q,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:o(t.autoResize),autoBounds:o(t.autoBounds),autoScale:!!t.autoScale,autoCenter:o(t.autoCenter),clipToBounds:o(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:V,oncontextloss:null,mouseListener:null},G=[A.drawingBufferWidth/H.pixelRatio|0,A.drawingBufferHeight/H.pixelRatio|0];H.autoResize&&e(),window.addEventListener("resize",e),H.update=function(t){_||(t=t||{},F=!0,B=!0)},H.add=function(t){_||(t.axes=z,O.push(t),I.push(-1),F=!0,B=!0,r())},H.remove=function(t){if(!_){var e=O.indexOf(t);0>e||(O.splice(e,1),I.pop(),F=!0,B=!0,r())}},H.dispose=function(){if(!_&&(_=!0,window.removeEventListener("resize",e),w.removeEventListener("webglcontextlost",s),H.mouseListener.enabled=!1,!H.contextLost)){z.dispose(),R.dispose();for(var t=0;ts;++s){var l=j[s].query(e,G[1]-r-1,H.pickRadius);if(l){if(l.distance>T.distance)continue;for(var c=0;i>c;++c){var u=O[c];if(I[c]===s){var f=u.pick(l);f&&(T.buttons=t,T.screen=l.coord,T.distance=l.distance,T.object=u,T.index=f.distance,T.dataPosition=f.position,T.dataCoordinate=f.dataCoordinate,T.data=f,o=!0)}}}}}a&&a!==T.object&&(a.highlight&&a.highlight(null),F=!0),T.object&&(T.object.highlight&&T.object.highlight(T.data),F=!0),o=o||T.object!==a,o&&H.onselect&&H.onselect(T),1&t&&!(1&X)&&H.onclick&&H.onclick(T),X=t}}),w.addEventListener("webglcontextlost",s);var W=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],Z=[W[0].slice(),W[1].slice()];return x(),H.redraw=function(){_||(F=!0,b())},H}e.exports=s;var l=t("3d-view-controls"),c=t("gl-axes3d"),u=t("gl-axes3d/properties"),f=t("gl-spikes3d"),h=t("gl-select-static"),d=t("gl-fbo"),p=t("a-big-triangle"),g=t("mouse-change"),v=t("gl-mat4/perspective"),m=t("./lib/shader")},{"./lib/shader":150,"3d-view-controls":20,"a-big-triangle":22,"gl-axes3d":99,"gl-axes3d/properties":106,"gl-fbo":114,"gl-mat4/perspective":131,"gl-select-static":165,"gl-spikes3d":175,"mouse-change":211}],152:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],d=r[0],p=r[1],g=r[2],v=r[3];return a=c*d+u*p+f*g+h*v,0>a&&(a=-a,d=-d,p=-p,g=-g,v=-v),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*c+l*d,t[1]=s*u+l*p,t[2]=s*f+l*g,t[3]=s*h+l*v,t}e.exports=n},{}],153:[function(t,e,r){"use strict";e.exports={vertex:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec2 offset;\nattribute vec4 color;\n\nuniform mat3 viewTransform;\nuniform vec2 pixelScale;\n\nvarying vec4 fragColor;\n\nvec4 computePosition_1_0(vec2 position, vec2 offset, mat3 view, vec2 scale) {\n vec3 xposition = view * vec3(position, 1.0);\n return vec4(\n xposition.xy + scale * offset * xposition.z,\n 0,\n xposition.z);\n}\n\n\n\n\nvoid main() {\n fragColor = color;\n\n gl_Position = computePosition_1_0(\n position,\n offset,\n viewTransform,\n pixelScale);\n}\n",fragment:"precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n",pickVertex:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec2 offset;\nattribute vec4 id;\n\nuniform mat3 viewTransform;\nuniform vec2 pixelScale;\nuniform vec4 pickOffset;\n\nvarying vec4 fragColor;\n\nvec4 computePosition_1_0(vec2 position, vec2 offset, mat3 view, vec2 scale) {\n vec3 xposition = view * vec3(position, 1.0);\n return vec4(\n xposition.xy + scale * offset * xposition.z,\n 0,\n xposition.z);\n}\n\n\n\n\nvoid main() {\n vec4 fragId = id + pickOffset;\n\n fragId.y += floor(fragId.x / 256.0);\n fragId.x -= floor(fragId.x / 256.0) * 256.0;\n\n fragId.z += floor(fragId.y / 256.0);\n fragId.y -= floor(fragId.y / 256.0) * 256.0;\n\n fragId.w += floor(fragId.z / 256.0);\n fragId.z -= floor(fragId.z / 256.0) * 256.0;\n\n fragColor = fragId / 255.0;\n\n gl_Position = computePosition_1_0(\n position,\n offset,\n viewTransform,\n pixelScale);\n}\n",pickFragment:"precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n gl_FragColor = fragColor;\n}\n"}},{}],154:[function(t,e,r){"use strict";function n(t){if(t in h)return h[t];var e=u(t,{polygons:!0,font:"sans-serif",textAlign:"left",textBaseline:"alphabetic"}),r=[],n=[];e.forEach(function(t){t.forEach(function(t){for(var e=0;eo;++o)i[o]=Math.min(i[o],r[a+o]),i[2+o]=Math.max(i[2+o],r[a+o]);return h[t]={coords:r,normals:n,bounds:i}}function i(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.offsetBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.bounds=[1/0,1/0,-(1/0),-(1/0)],this.numPoints=0,this.numVertices=0,this.pickOffset=0,this.points=null}function a(t,e){var r=t.gl,n=o(r,f.vertex,f.fragment),a=o(r,f.pickVertex,f.pickFragment),l=s(r),c=s(r),u=s(r),h=s(r),d=new i(t,n,a,l,c,u,h);return d.update(e),t.addObject(d),d}e.exports=a;var o=t("gl-shader"),s=t("gl-buffer"),l=t("text-cache"),c=t("typedarray-pool"),u=t("vectorize-text"),f=t("./lib/shaders"),h={},d=i.prototype;!function(){function t(){var t=this.plot,n=this.bounds,i=t.viewBox,a=t.dataBox,o=t.pixelRatio,s=n[2]-n[0],l=n[3]-n[1],c=a[2]-a[0],u=a[3]-a[1];e[0]=2*s/c,e[4]=2*l/u,e[6]=2*(n[0]-a[0])/c-1,e[7]=2*(n[1]-a[1])/u-1;var f=i[2]-i[0],h=i[3]-i[1];r[0]=2*o/f,r[1]=2*o/h}var e=[1,0,0,0,1,0,0,0,1],r=[1,1];d.draw=function(){var n=this.plot,i=this.shader,a=this.numVertices;if(a){var o=n.gl;t.call(this),i.bind(),i.uniforms.pixelScale=r,i.uniforms.viewTransform=e,this.positionBuffer.bind(),i.attributes.position.pointer(),this.offsetBuffer.bind(),i.attributes.offset.pointer(),this.colorBuffer.bind(),i.attributes.color.pointer(o.UNSIGNED_BYTE,!0),o.drawArrays(o.TRIANGLES,0,a)}};var n=[0,0,0,0];d.drawPick=function(i){var a=this.plot,o=this.pickShader,s=this.numVertices,l=a.gl;if(this.pickOffset=i,!s)return i;for(var c=0;4>c;++c)n[c]=i>>8*c&255;return t.call(this),o.bind(),o.uniforms.pixelScale=r,o.uniforms.viewTransform=e,o.uniforms.pickOffset=n,this.positionBuffer.bind(),o.attributes.position.pointer(),this.offsetBuffer.bind(),o.attributes.offset.pointer(),this.idBuffer.bind(),o.attributes.id.pointer(l.UNSIGNED_BYTE,!1),l.drawArrays(l.TRIANGLES,0,s),i+this.numPoints}}(),d.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(n>r||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},d.update=function(t){t=t||{};var e=t.positions||[],r=t.colors||[],i=t.glyphs||[],a=t.sizes||[],o=t.borderWidths||[],s=t.borderColors||[];this.points=e;for(var u=this.bounds=[1/0,1/0,-(1/0),-(1/0)],f=0,h=0;h>1;for(var d=0;2>d;++d)u[d]=Math.min(u[d],e[2*h+d]),u[2+d]=Math.max(u[2+d],e[2*h+d])}u[0]===u[2]&&(u[2]+=1),u[3]===u[1]&&(u[3]+=1);for(var p=1/(u[2]-u[0]),g=1/(u[3]-u[1]),v=u[0],m=u[1],y=c.mallocFloat32(2*f),b=c.mallocFloat32(2*f),x=c.mallocUint8(4*f),_=c.mallocUint32(f),w=0,h=0;h=a?i(0,a-1,t,e,r,n):f(0,a-1,t,e,r,n)}function i(t,e,r,n,i,a){for(var o=t+1;e>=o;++o){for(var s=r[o],l=n[2*o],c=n[2*o+1],u=i[o],f=a[o],h=o;h>t;){var d=r[h-1],p=n[2*(h-1)];if((d-s||l-p)>=0)break;r[h]=d,n[2*h]=p,n[2*h+1]=n[2*h-1],i[h]=i[h-1],a[h]=a[h-1],h-=1}r[h]=s,n[2*h]=l,n[2*h+1]=c,i[h]=u,a[h]=f}}function a(t,e,r,n,i,a){var o=r[t],s=n[2*t],l=n[2*t+1],c=i[t],u=a[t];r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e],r[e]=o,n[2*e]=s,n[2*e+1]=l,i[e]=c,a[e]=u}function o(t,e,r,n,i,a){r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e]}function s(t,e,r,n,i,a,o){var s=n[t],l=i[2*t],c=i[2*t+1],u=a[t],f=o[t];n[t]=n[e],i[2*t]=i[2*e],i[2*t+1]=i[2*e+1],a[t]=a[e],o[t]=o[e],n[e]=n[r],i[2*e]=i[2*r],i[2*e+1]=i[2*r+1],a[e]=a[r],o[e]=o[r],n[r]=s,i[2*r]=l,i[2*r+1]=c,a[r]=u,o[r]=f}function l(t,e,r,n,i,a,o,s,l,c,u){s[t]=s[e],l[2*t]=l[2*e],l[2*t+1]=l[2*e+1],c[t]=c[e],u[t]=u[e],s[e]=r,l[2*e]=n,l[2*e+1]=i,c[e]=a,u[e]=o}function c(t,e,r,n,i){return(r[t]-r[e]||n[2*e]-n[2*t]||i[t]-i[e])<0}function u(t,e,r,n,i,a,o,s){return(e-a[t]||o[2*t]-r||i-s[t])<0}function f(t,e,r,n,d,p){var g=(e-t+1)/6|0,v=t+g,m=e-g,y=t+e>>1,b=y-g,x=y+g,_=v,w=b,k=y,A=x,M=m,T=t+1,E=e-1,L=0;c(_,w,r,n,d,p)&&(L=_,_=w,w=L),c(A,M,r,n,d,p)&&(L=A,A=M,M=L),c(_,k,r,n,d,p)&&(L=_,_=k,k=L),c(w,k,r,n,d,p)&&(L=w,w=k,k=L),c(_,A,r,n,d,p)&&(L=_,_=A,A=L),c(k,A,r,n,d,p)&&(L=k,k=A,A=L),c(w,M,r,n,d,p)&&(L=w,w=M,M=L),c(w,k,r,n,d,p)&&(L=w,w=k,k=L),c(A,M,r,n,d,p)&&(L=A,A=M,M=L);var S=r[w],C=n[2*w],z=n[2*w+1],P=d[w],R=p[w],O=r[A],I=n[2*A],N=n[2*A+1],j=d[A],F=p[A],B=_,D=k,U=M,V=v,q=y,H=m,G=r[B],Y=r[D],X=r[U];r[V]=G,r[q]=Y,r[H]=X;for(var W=0;2>W;++W){var Z=n[2*B+W],K=n[2*D+W],Q=n[2*U+W];n[2*V+W]=Z,n[2*q+W]=K,n[2*H+W]=Q}var $=d[B],J=d[D],tt=d[U];d[V]=$,d[q]=J,d[H]=tt;var et=p[B],rt=p[D],nt=p[U];p[V]=et,p[q]=rt,p[H]=nt,o(b,t,r,n,d,p),o(x,e,r,n,d,p);for(var it=T;E>=it;++it)if(u(it,S,C,z,P,r,n,d))it!==T&&a(it,T,r,n,d,p),++T;else if(!u(it,O,I,N,j,r,n,d))for(;;){if(u(E,O,I,N,j,r,n,d)){u(E,S,C,z,P,r,n,d)?(s(it,T,E,r,n,d,p),++T,--E):(a(it,E,r,n,d,p),--E);break}if(--E=T-2-t?i(t,T-2,r,n,d,p):f(t,T-2,r,n,d,p),h>=e-(E+2)?i(E+2,e,r,n,d,p):f(E+2,e,r,n,d,p),h>=E-T?i(T,E,r,n,d,p):f(T,E,r,n,d,p)}e.exports=n;var h=32},{}],158:[function(t,e,r){"use strict";function n(t,e,r,n,i,a,o,s){for(var l=r,c=r;n>c;++c){var u=t[2*c],f=t[2*c+1],h=e[c];u>=i&&o>=u&&f>=a&&s>=f&&(c===l?l+=1:(t[2*c]=t[2*l],t[2*c+1]=t[2*l+1],e[c]=e[l],t[2*l]=u,t[2*l+1]=f,e[l]=h,l+=1))}return l}function i(t,e,r){this.pixelSize=t,this.offset=e,this.count=r}function a(t,e,r,a){function l(i,a,o,s,c,u){var f=.5*o,h=s+1,d=c-s;r[_]=d,x[_++]=u;for(var p=0;2>p;++p)for(var g=0;2>g;++g){var v=i+p*f,m=a+g*f,y=n(t,e,h,c,v,m,v+f,m+f);if(y!==h){if(y-h>=Math.max(.9*d,32)){var b=c+s>>>1;l(v,m,f,h,b,u+1),h=b}l(v,m,f,h,y,u+1),h=y}}}var c=t.length>>>1;if(1>c)return[];for(var u=1/0,f=1/0,h=-(1/0),d=-(1/0),p=0;c>p;++p){var g=t[2*p],v=t[2*p+1];u=Math.min(u,g),h=Math.max(h,g),f=Math.min(f,v),d=Math.max(d,v),e[p]=p}u===h&&(h+=1+Math.abs(h)),f===d&&(d+=1+Math.abs(h));var m=1/(h-u),y=1/(d-f),b=Math.max(h-u,d-f);a=a||[0,0,0,0],a[0]=u,a[1]=f,a[2]=h,a[3]=d;var x=o.mallocInt32(c),_=0;l(u,f,b,0,c,0),s(x,t,e,r,c);for(var w=[],k=0,A=c,_=c-1;_>=0;--_){t[2*_]=(t[2*_]-u)*m,t[2*_+1]=(t[2*_+1]-f)*y;var M=x[_];M!==k&&(w.push(new i(b*Math.pow(.5,M),_+1,A-(_+1))),A=_+1,k=M)}return w.push(new i(b*Math.pow(.5,M+1),0,A)),o.free(x),w}var o=t("typedarray-pool"),s=t("./lib/sort");e.exports=a},{"./lib/sort":157,"typedarray-pool":282}],159:[function(t,e,r){"use strict";function n(t,e,r,n,i,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.weightBuffer=n,this.shader=i,this.pickShader=a,this.scales=[],this.size=12,this.borderSize=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.bounds=[1/0,1/0,-(1/0),-(1/0)],this.pickOffset=0,this.points=null,this.xCoords=null}function i(t,e){var r=t.gl,i=o(r),s=o(r),l=o(r),c=a(r,u.pointVertex,u.pointFragment),f=a(r,u.pickVertex,u.pickFragment),h=new n(t,i,s,l,c,f);return h.update(e),t.addObject(h),h}var a=t("gl-shader"),o=t("gl-buffer"),s=t("binary-search-bounds"),l=t("snap-points-2d"),c=t("typedarray-pool"),u=t("./lib/shader");e.exports=i;var f=n.prototype;f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.xCoords&&c.free(this.xCoords),this.plot.removeObject(this)},f.update=function(t){function e(e,r){return e in t?t[e]:r}t=t||{},this.size=e("size",12),this.color=e("color",[1,0,0,1]).slice(),this.borderSize=e("borderSize",1),this.borderColor=e("borderColor",[0,0,0,1]).slice(),this.xCoords&&c.free(this.xCoords);var r=t.positions,n=c.mallocFloat32(r.length),i=c.mallocInt32(r.length>>>1);n.set(r);var a=c.mallocFloat32(r.length);this.points=r,this.scales=l(n,i,a,this.bounds),this.offsetBuffer.update(n),this.pickBuffer.update(i),this.weightBuffer.update(a);for(var o=c.mallocFloat32(r.length>>>1),s=0,u=0;s>>1,this.pickOffset=0},f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.scales,o=this.offsetBuffer,l=this.pickBuffer,c=this.bounds,u=this.size,f=this.borderSize,h=n.gl,d=n.pickPixelRatio,p=n.viewBox,g=n.dataBox;if(0===this.pointCount)return r;var v=c[2]-c[0],m=c[3]-c[1],y=g[2]-g[0],b=g[3]-g[1],x=(p[2]-p[0])*d/n.pixelRatio,_=(p[3]-p[1])*d/n.pixelRatio,w=Math.min(y/x,b/_);t[0]=2*v/y,t[4]=2*m/b,t[6]=2*(c[0]-g[0])/y-1,t[7]=2*(c[1]-g[1])/b-1,this.pickOffset=r,e[0]=255&r,e[1]=r>>8&255,e[2]=r>>16&255,e[3]=r>>24&255,i.bind(),i.uniforms.matrix=t,i.uniforms.color=this.color,i.uniforms.borderColor=this.borderColor,i.uniforms.pointSize=d*(u+f),i.uniforms.pickOffset=e,0===this.borderSize?i.uniforms.centerFraction=2:i.uniforms.centerFraction=u/(u+f+1.25),o.bind(),i.attributes.position.pointer(),l.bind(),i.attributes.pickId.pointer(h.UNSIGNED_BYTE);for(var k=this.xCoords,A=(g[0]-c[0]-w*u*d)/v,M=(g[2]-c[0]+w*u*d)/v,T=a.length-1;T>=0;--T){var E=a[T];if(!(E.pixelSize1)){var L=E.offset,S=E.count+L,C=s.ge(k,A,L,S-1),z=s.lt(k,M,C,S-1)+1;z>C&&h.drawArrays(h.POINTS,C,z-C)}}return r+this.pointCount}}(),f.draw=function(){var t=[1,0,0,0,1,0,0,0,1];return function(){var e=this.plot,r=this.shader,n=this.scales,i=this.offsetBuffer,a=this.bounds,o=this.size,l=this.borderSize,c=e.gl,u=e.pixelRatio,f=e.viewBox,h=e.dataBox;if(0!==this.pointCount){var d=a[2]-a[0],p=a[3]-a[1],g=h[2]-h[0],v=h[3]-h[1],m=f[2]-f[0],y=f[3]-f[1],b=Math.min(g/m,v/y);t[0]=2*d/g,t[4]=2*p/v,t[6]=2*(a[0]-h[0])/g-1,t[7]=2*(a[1]-h[1])/v-1,r.bind(),r.uniforms.matrix=t,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointSize=u*(o+l),r.uniforms.useWeight=1,0===this.borderSize?r.uniforms.centerFraction=2:r.uniforms.centerFraction=o/(o+l+1.25),i.bind(),r.attributes.position.pointer(),this.weightBuffer.bind(),r.attributes.weight.pointer();for(var x=this.xCoords,_=(h[0]-a[0]-b*o*u)/d,w=(h[2]-a[0]+b*o*u)/d,k=!0,A=n.length-1;A>=0;--A){var M=n[A];if(!(M.pixelSize1)){var T=M.offset,E=M.count+T,L=s.ge(x,_,T,E-1),S=s.lt(x,w,L,E-1)+1;S>L&&c.drawArrays(c.POINTS,L,S-L),k&&(k=!1,r.uniforms.useWeight=0)}}}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(n>r||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{"./lib/shader":155,"binary-search-bounds":156,"gl-buffer":107,"gl-shader":166,"snap-points-2d":158,"typedarray-pool":282}],160:[function(t,e,r){"use strict";function n(t,e){var r=a[e];if(r||(r=a[e]={}),t in r)return r[t];for(var n=i(t,{textAlign:"center",textBaseline:"middle",lineHeight:1,font:e}),o=i(t,{triangles:!0,textAlign:"center",textBaseline:"middle",lineHeight:1,font:e}),s=[[1/0,1/0],[-(1/0),-(1/0)]],l=0;lu;++u)s[0][u]=Math.min(s[0][u],c[u]),s[1][u]=Math.max(s[1][u],c[u]);return r[t]=[o,n,s]}var i=t("vectorize-text");e.exports=n;var a={}},{"vectorize-text":285}],161:[function(t,e,r){function n(t,e){var r=i(t,e),n=r.attributes;return n.position.location=0,n.color.location=1,n.glyph.location=2,n.id.location=3,r}var i=t("gl-shader"),a="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || \n any(greaterThan(position, clipBounds[1])) ) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = 1.0;\n if(distance(highlightId, id) < 0.0001) {\n scale = highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1);\n vec4 viewPosition = view * worldPosition;\n viewPosition = viewPosition / viewPosition.w;\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n \n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}",o="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || any(greaterThan(position, clipBounds[1]))) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = pixelRatio;\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\n scale *= highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1.0);\n vec4 viewPosition = view * worldPosition;\n vec4 clipPosition = projection * viewPosition;\n clipPosition /= clipPosition.w;\n \n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}",s="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) ||\n any(greaterThan(position, clipBounds[1])) ) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float lscale = pixelRatio * scale;\n if(distance(highlightId, id) < 0.0001) {\n lscale *= highlightScale;\n }\n\n vec4 clipCenter = projection * view * model * vec4(position, 1);\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = dataPosition;\n }\n}\n",l="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(dataCoordinate, fragClipBounds[0])) ||\n any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\n discard;\n } else {\n gl_FragColor = interpColor * opacity;\n }\n}\n",c="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(dataCoordinate, fragClipBounds[0])) || \n any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\n discard;\n } else {\n gl_FragColor = vec4(pickGroup, pickId.bgr);\n }\n}",u=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},d={vertex:s,fragment:l,attributes:u},p={vertex:a,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},v={vertex:s,fragment:c,attributes:u};r.createPerspective=function(t){return n(t,f)},r.createOrtho=function(t){return n(t,h)},r.createProject=function(t){return n(t,d)},r.createPickPerspective=function(t){return n(t,p)},r.createPickOrtho=function(t){return n(t,g)},r.createPickProject=function(t){return n(t,v)}},{"gl-shader":166}],162:[function(t,e,r){"use strict";function n(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function i(t,e,r,i){return n(i,i,r),n(i,i,e),n(i,i,t)}function a(t,e){this.index=t,this.dataCoordinate=this.position=e}function o(t,e,r,n,i,o,s,l,c,u,f,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=o,this.glyphBuffer=s,this.idBuffer=l,this.vao=c,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=f,this.pickProjectShader=h,this.points=[],this._selectResult=new a(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.dirty=!0}function s(t){return t[0]=t[1]=t[2]=0,t}function l(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function c(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function u(t){for(var e=S,r=0;2>r;++r)for(var n=0;3>n;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}function f(t,e,r,n,a){var o,f=e.axesProject,h=e.gl,d=t.uniforms,p=r.model||x,g=r.view||x,v=r.projection||x,y=e.axesBounds,b=u(e.clipBounds);o=e.axes?e.axes.lastCubeProps.axis:[1,1,1],w[0]=2/h.drawingBufferWidth,w[1]=2/h.drawingBufferHeight,t.bind(),d.view=g,d.projection=v,d.screenSize=w,d.highlightId=e.highlightId,d.highlightScale=e.highlightScale,d.clipBounds=b,d.pickGroup=e.pickId/255,d.pixelRatio=e.pixelRatio;for(var _=0;3>_;++_)if(f[_]&&e.projectOpacity[_]<1===n){d.scale=e.projectScale[_],d.opacity=e.projectOpacity[_];for(var S=E,C=0;16>C;++C)S[C]=0;for(var C=0;4>C;++C)S[5*C]=1;S[5*_]=0,o[_]<0?S[12+_]=y[0][_]:S[12+_]=y[1][_],m(S,p,S),d.model=S;var z=(_+1)%3,P=(_+2)%3,R=s(k),O=s(A);R[z]=1,O[P]=1;var I=i(v,g,p,l(M,R)),N=i(v,g,p,l(T,O));if(Math.abs(I[1])>Math.abs(N[1])){var j=I;I=N,N=j,j=R,R=O,O=j;var F=z;z=P,P=F}I[0]<0&&(R[z]=-1),N[1]>0&&(O[P]=-1);for(var B=0,D=0,C=0;4>C;++C)B+=Math.pow(p[4*z+C],2), -D+=Math.pow(p[4*P+C],2);R[z]/=Math.sqrt(B),O[P]/=Math.sqrt(D),d.axes[0]=R,d.axes[1]=O,d.fragClipBounds[0]=c(L,b[0],_,-1e8),d.fragClipBounds[1]=c(L,b[1],_,1e8),e.vao.draw(h.TRIANGLES,e.vertexCount),e.lineWidth>0&&(h.lineWidth(e.lineWidth),e.vao.draw(h.LINES,e.lineVertexCount,e.vertexCount))}}function h(t,e,r,n,i,a){var o=r.gl;if(r.vao.bind(),i===r.opacity<1||a){t.bind();var s=t.uniforms;s.model=n.model||x,s.view=n.view||x,s.projection=n.projection||x,w[0]=2/o.drawingBufferWidth,w[1]=2/o.drawingBufferHeight,s.screenSize=w,s.highlightId=r.highlightId,s.highlightScale=r.highlightScale,s.fragClipBounds=P,s.clipBounds=r.axes.bounds,s.opacity=r.opacity,s.pickGroup=r.pickId/255,s.pixelRatio=r.pixelRatio,r.vao.draw(o.TRIANGLES,r.vertexCount),r.lineWidth>0&&(o.lineWidth(r.lineWidth),r.vao.draw(o.LINES,r.lineVertexCount,r.vertexCount))}f(e,r,n,i,a),r.vao.unbind()}function d(t){var e=t.gl,r=y.createPerspective(e),n=y.createOrtho(e),i=y.createProject(e),a=y.createPickPerspective(e),s=y.createPickOrtho(e),l=y.createPickProject(e),c=p(e),u=p(e),f=p(e),h=p(e),d=g(e,[{buffer:c,size:3,type:e.FLOAT},{buffer:u,size:4,type:e.FLOAT},{buffer:f,size:2,type:e.FLOAT},{buffer:h,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new o(e,r,n,i,c,u,f,h,d,a,s,l);return v.update(t),v}var p=t("gl-buffer"),g=t("gl-vao"),v=t("typedarray-pool"),m=t("gl-mat4/multiply"),y=t("./lib/shaders"),b=t("./lib/glyphs"),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];e.exports=d;var _=o.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.opacity<1)return!0;for(var t=0;3>t;++t)if(this.axesProject[t]&&this.projectOpacity[t]<1)return!0;return!1},_.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;3>t;++t)if(this.axesProject[t]&&this.projectOpacity[t]>=1)return!0;return!1};var w=[0,0],k=[0,0,0],A=[0,0,0],M=[0,0,0,1],T=[0,0,0,1],E=x.slice(),L=[0,0,0],S=[[0,0,0],[0,0,0]],C=[-1e8,-1e8,-1e8],z=[1e8,1e8,1e8],P=[C,z];_.draw=function(t){var e=this.useOrtho?this.orthoShader:this.shader;h(e,this.projectShader,this,t,!1,!1)},_.drawTransparent=function(t){var e=this.useOrtho?this.orthoShader:this.shader;h(e,this.projectShader,this,t,!0,!1)},_.drawPick=function(t){var e=this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader;h(e,this.pickProjectShader,this,t,!1,!0)},_.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||0>e)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;3>i;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},_.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},_.update=function(t){if(t=t||{},"perspective"in t&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if("projectOpacity"in t)if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{var r=+t.projectOpacity;this.projectOpacity=[r,r,r]}"opacity"in t&&(this.opacity=t.opacity),this.dirty=!0;var n=t.position;if(n){var i=t.font||"normal",a=t.alignment||[0,0],o=[1/0,1/0,1/0],s=[-(1/0),-(1/0),-(1/0)],l=t.glyph,c=t.color,u=t.size,f=t.angle,h=t.lineColor,d=0,p=0,g=0,m=n.length;t:for(var y=0;m>y;++y){for(var x=n[y],_=0;3>_;++_)if(isNaN(x[_])||!isFinite(x[_]))continue t;var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b("\u25cf",i);var k=w[0],A=w[1],M=w[2];p+=3*k.cells.length,g+=2*A.edges.length}var T=p+g,E=v.mallocFloat(3*T),L=v.mallocFloat(4*T),S=v.mallocFloat(2*T),C=v.mallocUint32(T),z=[0,a[1]],P=0,R=p,O=[0,0,0,1],I=[0,0,0,1],N=Array.isArray(c)&&Array.isArray(c[0]),j=Array.isArray(h)&&Array.isArray(h[0]);t:for(var y=0;m>y;++y){for(var x=n[y],_=0;3>_;++_){if(isNaN(x[_])||!isFinite(x[_])){d+=1;continue t}s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_])}var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b("\u25cf",i);var k=w[0],A=w[1],M=w[2];if(Array.isArray(c)){var F;if(F=N?c[y]:c,3===F.length){for(var _=0;3>_;++_)O[_]=F[_];O[3]=1}else if(4===F.length)for(var _=0;4>_;++_)O[_]=F[_]}else O[0]=O[1]=O[2]=0,O[3]=1;if(Array.isArray(h)){var F;if(F=j?h[y]:h,3===F.length){for(var _=0;3>_;++_)I[_]=F[_];I[_]=1}else if(4===F.length)for(var _=0;4>_;++_)I[_]=F[_]}else I[0]=I[1]=I[2]=0,I[3]=1;var B=.5;Array.isArray(u)?B=+u[y]:u?B=+u:this.useOrtho&&(B=12);var D=0;Array.isArray(f)?D=+f[y]:f&&(D=+f);for(var U=Math.cos(D),V=Math.sin(D),x=n[y],_=0;3>_;++_)s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_]);a[0]<0?z[0]=a[0]*(1+M[1][0]):a[0]>0&&(z[0]=-a[0]*(1+M[0][0]));for(var q=k.cells,H=k.positions,_=0;_Y;++Y){for(var X=0;3>X;++X)E[3*P+X]=x[X];for(var X=0;4>X;++X)L[4*P+X]=O[X];C[P]=d;var W=H[G[Y]];S[2*P]=B*(U*W[0]-V*W[1]+z[0]),S[2*P+1]=B*(V*W[0]+U*W[1]+z[1]),P+=1}for(var q=A.edges,H=A.positions,_=0;_Y;++Y){for(var X=0;3>X;++X)E[3*R+X]=x[X];for(var X=0;4>X;++X)L[4*R+X]=I[X];C[R]=d;var W=H[G[Y]];S[2*R]=B*(U*W[0]-V*W[1]+z[0]),S[2*R+1]=B*(V*W[0]+U*W[1]+z[1]),R+=1}d+=1}this.vertexCount=p,this.lineVertexCount=g,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(S),this.idBuffer.update(new 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l=a(t,i),c=o(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=s(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var f=new n(t,l,c,u);return f.update(e),f}var a=t("gl-buffer"),o=t("gl-vao"),s=t("./shaders/index");e.exports=i;var l=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],c=n.prototype,u=[0,0,0],f=[0,0,0],h=[0,0];c.isTransparent=function(){return!1},c.drawTransparent=function(t){},c.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||l,o=t.view||l,s=t.projection||l;this.axes&&(i=this.axes.lastCubeProps.axis);for(var c=u,d=f,p=0;3>p;++p)i&&i[p]<0?(c[p]=this.bounds[0][p],d[p]=this.bounds[1][p]):(c[p]=this.bounds[1][p],d[p]=this.bounds[0][p]);h[0]=e.drawingBufferWidth,h[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=o,n.uniforms.projection=s,n.uniforms.coordinates=[this.position,c,d],n.uniforms.colors=this.colors,n.uniforms.screenShape=h;for(var p=0;3>p;++p)n.uniforms.lineWidth=this.lineWidth[p]*this.pixelRatio,this.enabled[p]&&(r.draw(e.TRIANGLES,6,6*p),this.drawSides[p]&&r.draw(e.TRIANGLES,12,18+12*p));r.unbind()},c.update=function(t){t&&("bounds"in t&&(this.bounds=t.bounds),"position"in t&&(this.position=t.position),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"colors"in t&&(this.colors=t.colors),"enabled"in t&&(this.enabled=t.enabled),"drawSides"in t&&(this.drawSides=t.drawSides))},c.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{"./shaders/index":174,"gl-buffer":107,"gl-vao":182}],176:[function(t,e,r){var n=t("gl-shader"),i="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\n\nvoid main() {\n worldCoordinate = vec3(uv.zw, f.x);\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n vec4 clipPosition = projection * view * worldPosition;\n gl_Position = clipPosition;\n kill = f.y;\n value = f.z;\n planeCoordinate = uv.xy;\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * worldPosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n lightDirection = lightPosition - cameraCoordinate.xyz;\n eyeDirection = eyePosition - cameraCoordinate.xyz;\n surfaceNormal = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n",a="precision mediump float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution_2_0(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\n\n\nfloat beckmannSpecular_1_1(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness) {\n return beckmannDistribution_2_0(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\n\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\n\nvoid main() {\n if(kill > 0.0 ||\n any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\n discard;\n }\n\n vec3 N = normalize(surfaceNormal);\n vec3 V = normalize(eyeDirection);\n vec3 L = normalize(lightDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = beckmannSpecular_1_1(L, V, N, roughness);\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = texture2D(colormap, vec2(value, value));\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n",o="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\n\nvoid main() {\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n vec4 worldPosition = model * vec4(dataCoordinate, 1.0);\n\n vec4 clipPosition = projection * view * worldPosition;\n clipPosition.z = clipPosition.z + zOffset;\n\n gl_Position = clipPosition;\n value = f;\n kill = -1.0;\n worldCoordinate = dataCoordinate;\n planeCoordinate = uv.zw;\n\n //Don't do lighting for contours\n surfaceNormal = vec3(1,0,0);\n eyeDirection = vec3(0,1,0);\n lightDirection = vec3(0,0,1);\n}\n",s="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n float vh = 255.0 * v;\n float upper = floor(vh);\n float lower = fract(vh);\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n if(kill > 0.0 ||\n any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\n discard;\n }\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n";r.createShader=function(t){var e=n(t,i,a,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,s,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0, -e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,o,a,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,o,s,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{"gl-shader":166}],177:[function(t,e,r){"use strict";function n(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}function i(t){var e=x([y({colormap:t,nshades:N,format:"rgba"}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return b.divseq(e,255),e}function a(t,e,r,i,a,o,s,l,c,u,f,h,d,p){this.gl=t,this.shape=e,this.bounds=r,this.intensityBounds=[],this._shader=i,this._pickShader=a,this._coordinateBuffer=o,this._vao=s,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=h,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new n([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=p,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[_(m.mallocFloat(1024),[0,0]),_(m.mallocFloat(1024),[0,0]),_(m.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.snapToData=!1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.dirty=!0}function o(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||F,o=e.showSurface,s=e.showContour;for(r=0;3>r;++r)for(o=o||e.surfaceProject[r],n=0;3>n;++n)s=s||e.contourProject[r][n];for(r=0;3>r;++r){var l=B.projections[r];for(n=0;16>n;++n)l[n]=0;for(n=0;4>n;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],k(l,t.model,l);var c=B.clipBounds[r];for(i=0;2>i;++i)for(n=0;3>n;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return B.showSurface=o,B.showContour=s,B}function s(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=D;n.model=t.model||R,n.view=t.view||R,n.projection=t.projection||R,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.contourColor=this.contourColor[0],n.inverseModel=A(n.inverseModel,n.model);for(var i=0;2>i;++i)for(var a=n.clipBounds[i],s=0;3>s;++s)a[s]=Math.min(Math.max(this.clipBounds[i][s],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=V;var l=U;for(k(l,n.view,n.model),k(l,n.projection,l),A(l,l),i=0;3>i;++i)n.eyePosition[i]=l[12+i]/l[15];var c=l[15];for(i=0;3>i;++i)c+=this.lightPosition[i]*l[4*i+3];for(i=0;3>i;++i){var u=l[12+i];for(s=0;3>s;++s)u+=l[4*s+i]*this.lightPosition[s];n.lightPosition[i]=u/c}var f=o(n,this);if(f.showSurface&&e===this.opacity<1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;3>i;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=f.projections[i],this._shader.uniforms.clipBounds=f.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(f.showContour&&!e){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var d=this._contourVAO;for(d.bind(),i=0;3>i;++i)for(h.uniforms.permutation=I[i],r.lineWidth(this.contourWidth[i]),s=0;si;++i)for(h.uniforms.model=f.projections[i],h.uniforms.clipBounds=f.clipBounds[i],s=0;3>s;++s)if(this.contourProject[i][s]){h.uniforms.permutation=I[s],r.lineWidth(this.contourWidth[s]);for(var p=0;pi;++i)if(0!==this._dynamicCounts[i])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=I[i],r.lineWidth(this.dynamicWidth[i]),h.uniforms.contourColor=this.dynamicColor[i],h.uniforms.contourTint=this.dynamicTint[i],h.uniforms.height=this.dynamicLevel[i],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),s=0;3>s;++s)this.contourProject[s][i]&&(h.uniforms.model=f.projections[s],h.uniforms.clipBounds=f.clipBounds[s],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));d.unbind()}}function l(t,e){var r=e.shape.slice(),n=t.shape.slice();b.assign(t.lo(1,1).hi(r[0],r[1]),e),b.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),b.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),b.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),b.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))}function c(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function u(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function f(t){if(Array.isArray(t)){if(Array.isArray(t))return[u(t[0]),u(t[1]),u(t[2])];var e=u(t);return[e.slice(),e.slice(),e.slice()]}}function h(t){var e=t.gl,r=L(e),n=C(e),i=S(e),o=z(e),s=p(e),l=g(e,[{buffer:s,size:4,stride:P,offset:0},{buffer:s,size:3,stride:P,offset:16},{buffer:s,size:3,stride:P,offset:28}]),c=p(e),u=g(e,[{buffer:c,size:4,stride:20,offset:0},{buffer:c,size:1,stride:20,offset:16}]),f=p(e),h=g(e,[{buffer:f,size:2,type:e.FLOAT}]),d=v(e,1,N,e.RGBA,e.UNSIGNED_BYTE);d.minFilter=e.LINEAR,d.magFilter=e.LINEAR;var m=new a(e,[0,0],[[0,0,0],[0,0,0]],r,n,s,l,d,i,o,c,u,f,h),y={levels:[[],[],[]]};for(var b in t)y[b]=t[b];return y.colormap=y.colormap||"jet",m.update(y),m}e.exports=h;var d=t("bit-twiddle"),p=t("gl-buffer"),g=t("gl-vao"),v=t("gl-texture2d"),m=t("typedarray-pool"),y=t("colormap"),b=t("ndarray-ops"),x=t("ndarray-pack"),_=t("ndarray"),w=t("surface-nets"),k=t("gl-mat4/multiply"),A=t("gl-mat4/invert"),M=t("binary-search-bounds"),T=t("ndarray-gradient"),E=t("./lib/shaders"),L=E.createShader,S=E.createContourShader,C=E.createPickShader,z=E.createPickContourShader,P=40,R=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],O=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],I=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];!function(){for(var t=0;3>t;++t){var e=I[t],r=(t+1)%3,n=(t+2)%3;e[r+0]=1,e[n+3]=1,e[t+6]=1}}();var N=265,j=a.prototype;j.isTransparent=function(){return this.opacity<1},j.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;3>t;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},j.pickSlots=1,j.setPickBase=function(t){this.pickId=t};var F=[0,0,0],B={showSurface:!1,showContour:!1,projections:[R.slice(),R.slice(),R.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]},D={model:R,view:R,projection:R,inverseModel:R.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1},U=R.slice(),V=[1,0,0,0,1,0,0,0,1];j.draw=function(t){return s.call(this,t,!1)},j.drawTransparent=function(t){return s.call(this,t,!0)};var q={model:R,view:R,projection:R,inverseModel:R,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};j.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=q;r.model=t.model||R,r.view=t.view||R,r.projection=t.projection||R,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.permutation=V;for(var n=0;2>n;++n)for(var i=r.clipBounds[n],a=0;3>a;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var s=o(r,this);if(s.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;3>n;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=s.projections[n],this._pickShader.uniforms.clipBounds=s.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(s.showContour){var l=this._contourPickShader;l.bind(),l.uniforms=r;var c=this._contourVAO;for(c.bind(),a=0;3>a;++a)for(e.lineWidth(this.contourWidth[a]),l.uniforms.permutation=I[a],n=0;nn;++n)for(l.uniforms.model=s.projections[n],l.uniforms.clipBounds=s.clipBounds[n],a=0;3>a;++a)if(this.contourProject[n][a]){l.uniforms.permutation=I[a],e.lineWidth(this.contourWidth[a]);for(var u=0;u>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;2>u;++u)for(var f=u?a:1-a,h=0;2>h;++h)for(var d=h?l:1-l,p=i+u,g=s+h,v=f*d,m=0;3>m;++m)c[m]+=this._field[m].get(p,g)*v;for(var y=this._pickResult.level,b=0;3>b;++b)if(y[b]=M.le(this.contourLevels[b],c[b]),y[b]<0)this.contourLevels[b].length>0&&(y[b]=0);else if(y[b]Math.abs(_-c[b])&&(y[b]+=1)}for(r.index[0]=.5>a?i:i+1,r.index[1]=.5>l?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],m=0;3>m;++m)r.dataCoordinate[m]=this._field[m].get(r.index[0],r.index[1]);return r},j.update=function(t){t=t||{},this.dirty=!0,"contourWidth"in t&&(this.contourWidth=c(t.contourWidth,Number)),"showContour"in t&&(this.showContour=c(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=c(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=f(t.contourColor)),"contourProject"in t&&(this.contourProject=c(t.contourProject,function(t){return c(t,Boolean)})),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=f(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=c(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=c(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"colorBounds"in t&&(this.colorBounds=t.colorBounds);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var n=(e.shape[0]+2)*(e.shape[1]+2);n>this._field[2].data.length&&(m.freeFloat(this._field[2].data),this._field[2].data=m.mallocFloat(d.nextPow2(n))),this._field[2]=_(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),l(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;2>o;++o)this._field[2].size>this._field[o].data.length&&(m.freeFloat(this._field[o].data),this._field[o].data=m.mallocFloat(this._field[2].size)),this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var s=t.coords;if(!Array.isArray(s)||3!==s.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;2>o;++o){var u=s[o];for(y=0;2>y;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");l(this._field[o],u)}}else if(t.ticks){var h=t.ticks;if(!Array.isArray(h)||2!==h.length)throw new Error("gl-surface: invalid ticks");for(o=0;2>o;++o){var p=h[o];if((Array.isArray(p)||p.length)&&(p=_(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var g=_(p.data,a);g.stride[o]=p.stride[0],g.stride[1^o]=0,l(this._field[o],g)}}else{for(o=0;2>o;++o){var v=[0,0];v[o]=1,this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;yo;++o)T(x.pick(o),b[o],"mirror");var k=_(m.mallocFloat(3*b[2].size),[a[0]+2,a[1]+2,3]);for(o=0;oI?(I=Math.max(Math.abs(z),Math.abs(P),Math.abs(R)),1e-8>I?(R=1,P=z=0,I=1):I=1/I):I=1/Math.sqrt(I),k.set(o,y,0,z*I),k.set(o,y,1,P*I),k.set(o,y,2,R*I)}m.free(x.data);var N=[1/0,1/0,1/0],j=[-(1/0),-(1/0),-(1/0)],F=1/0,B=-(1/0),D=(a[0]-1)*(a[1]-1)*6,U=m.mallocFloat(d.nextPow2(10*D)),V=0,q=0;for(o=0;oH;++H)for(var G=0;2>G;++G)for(var Y=0;3>Y;++Y){var X=this._field[Y].get(1+o+H,1+y+G);if(isNaN(X)||!isFinite(X))continue t}for(Y=0;6>Y;++Y){var W=o+O[Y][0],Z=y+O[Y][1],K=this._field[0].get(W+1,Z+1),Q=this._field[1].get(W+1,Z+1);X=this._field[2].get(W+1,Z+1);var $=X;z=k.get(W+1,Z+1,0),P=k.get(W+1,Z+1,1),R=k.get(W+1,Z+1,2),t.intensity&&($=t.intensity.get(W,Z)),U[V++]=W,U[V++]=Z,U[V++]=K,U[V++]=Q,U[V++]=X,U[V++]=0,U[V++]=$,U[V++]=z,U[V++]=P,U[V++]=R,N[0]=Math.min(N[0],K),N[1]=Math.min(N[1],Q),N[2]=Math.min(N[2],X),F=Math.min(F,$),j[0]=Math.max(j[0],K),j[1]=Math.max(j[1],Q),j[2]=Math.max(j[2],X),B=Math.max(B,$),q+=1}}for(t.intensityBounds&&(F=+t.intensityBounds[0],B=+t.intensityBounds[1]),o=6;V>o;o+=10)U[o]=(U[o]-F)/(B-F);this._vertexCount=q,this._coordinateBuffer.update(U.subarray(0,V)),m.freeFloat(U),m.free(k.data),this.bounds=[N,j],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===F&&this.intensityBounds[1]===B||(r=!0),this.intensityBounds=[F,B]}if("levels"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;3>o;++o)J[o]=J[o].slice(),J.sort(function(t,e){return t-e});t:for(o=0;3>o;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;yet;++et){J=this.contourLevels[et];var rt=[],nt=[],it=[0,0,0];for(o=0;oY;++Y){var st=at.positions[ot[Y]],lt=st[0],ct=0|Math.floor(lt),ut=lt-ct,ft=st[1],ht=0|Math.floor(ft),dt=ft-ht,pt=!1;e:for(var gt=0;3>gt;++gt){it[gt]=0;var vt=(et+gt+1)%3;for(H=0;2>H;++H){var mt=H?ut:1-ut;for(W=0|Math.min(Math.max(ct+H,0),a[0]),G=0;2>G;++G){var yt=G?dt:1-dt;if(Z=0|Math.min(Math.max(ht+G,0),a[1]),X=2>gt?this._field[vt].get(W,Z):(this.intensity.get(W,Z)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(X)||isNaN(X)){pt=!0;break e}var bt=mt*yt;it[gt]+=bt*X}}}if(pt){if(Y>0){for(var xt=0;5>xt;++xt)tt.pop();q-=1}continue t}tt.push(it[0],it[1],st[0],st[1],it[2]),q+=1}}nt.push(q)}this._contourOffsets[et]=rt,this._contourCounts[et]=nt}var _t=m.mallocFloat(tt.length);for(o=0;ot;++t)m.freeFloat(this._field[t].data)},j.highlight=function(t){if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(var e=0;3>e;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;var r;if(r=this.snapToData?t.dataCoordinate:t.position,this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=m.mallocFloat(12*i[0]*i[1]),o=0;3>o;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var s=(o+1)%3,l=(o+2)%3,c=this._field[o],u=this._field[s],f=this._field[l],h=(this.intensity,w(c,r[o])),d=h.cells,p=h.positions;for(this._dynamicOffsets[o]=n,e=0;ev;++v){var y=p[g[v]],b=+y[0],x=0|b,_=0|Math.min(x+1,i[0]),k=b-x,A=1-k,M=+y[1],T=0|M,E=0|Math.min(T+1,i[1]),L=M-T,S=1-L,C=A*S,z=A*L,P=k*S,R=k*L,O=C*u.get(x,T)+z*u.get(x,E)+P*u.get(_,T)+R*u.get(_,E),I=C*f.get(x,T)+z*f.get(x,E)+P*f.get(_,T)+R*f.get(_,E);if(isNaN(O)||isNaN(I)){v&&(n-=1);break}a[2*n+0]=O,a[2*n+1]=I,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),m.freeFloat(a)}}},{"./lib/shaders":176,"binary-search-bounds":47,"bit-twiddle":48,colormap:73,"gl-buffer":107,"gl-mat4/invert":128,"gl-mat4/multiply":130,"gl-texture2d":178,"gl-vao":182,ndarray:225,"ndarray-gradient":216,"ndarray-ops":219,"ndarray-pack":220,"surface-nets":273,"typedarray-pool":282}],178:[function(t,e,r){"use strict";function n(t){v=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],m=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],y=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function i(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(0>e||e>i||0>r||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function a(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}function o(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function s(t,e,r,n,i,a,s,l){var c=l.dtype,u=l.shape.slice();if(u.length<2||u.length>3)throw new Error("gl-texture2d: Invalid ndarray, must be 2d or 3d");var f=0,h=0,v=o(u,l.stride.slice());"float32"===c?f=t.FLOAT:"float64"===c?(f=t.FLOAT,v=!1,c="float32"):"uint8"===c?f=t.UNSIGNED_BYTE:(f=t.UNSIGNED_BYTE,v=!1,c="uint8");var m=1;if(2===u.length)h=t.LUMINANCE,u=[u[0],u[1],1],l=d(l.data,u,[l.stride[0],l.stride[1],1],l.offset);else{if(3!==u.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===u[2])h=t.ALPHA;else if(2===u[2])h=t.LUMINANCE_ALPHA;else if(3===u[2])h=t.RGB;else{if(4!==u[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");h=t.RGBA}m=u[2]}if(h!==t.LUMINANCE&&h!==t.ALPHA||i!==t.LUMINANCE&&i!==t.ALPHA||(h=i),h!==i)throw new Error("gl-texture2d: Incompatible texture format for setPixels");var y=l.size,x=s.indexOf(n)<0;if(x&&s.push(n),f===a&&v)0===l.offset&&l.data.length===y?x?t.texImage2D(t.TEXTURE_2D,n,i,u[0],u[1],0,i,a,l.data):t.texSubImage2D(t.TEXTURE_2D,n,e,r,u[0],u[1],i,a,l.data):x?t.texImage2D(t.TEXTURE_2D,n,i,u[0],u[1],0,i,a,l.data.subarray(l.offset,l.offset+y)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,u[0],u[1],i,a,l.data.subarray(l.offset,l.offset+y));else{var _;_=a===t.FLOAT?g.mallocFloat32(y):g.mallocUint8(y);var w=d(_,u,[u[2],u[2]*u[0],1]);f===t.FLOAT&&a===t.UNSIGNED_BYTE?b(w,l):p.assign(w,l),x?t.texImage2D(t.TEXTURE_2D,n,i,u[0],u[1],0,i,a,_.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,u[0],u[1],i,a,_.subarray(0,y)),a===t.FLOAT?g.freeFloat32(_):g.freeUint8(_)}}function l(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function c(t,e,r,n,i){var o=t.getParameter(t.MAX_TEXTURE_SIZE);if(0>e||e>o||0>r||r>o)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var s=l(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new a(t,s,e,r,n,i)}function u(t,e,r,n){var i=l(t);return t.texImage2D(t.TEXTURE_2D,0,r,r,n,e),new a(t,i,0|e.width,0|e.height,r,n)}function f(t,e){var r=e.dtype,n=e.shape.slice(),i=t.getParameter(t.MAX_TEXTURE_SIZE);if(n[0]<0||n[0]>i||n[1]<0||n[1]>i)throw new Error("gl-texture2d: Invalid texture size");var s=o(n,e.stride.slice()),c=0;"float32"===r?c=t.FLOAT:"float64"===r?(c=t.FLOAT,s=!1,r="float32"):"uint8"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,s=!1,r="uint8");var u=0;if(2===n.length)u=t.LUMINANCE,n=[n[0],n[1],1],e=d(e.data,n,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==n.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===n[2])u=t.ALPHA;else if(2===n[2])u=t.LUMINANCE_ALPHA;else if(3===n[2])u=t.RGB;else{if(4!==n[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");u=t.RGBA}}c!==t.FLOAT||t.getExtension("OES_texture_float")||(c=t.UNSIGNED_BYTE,s=!1);var f,h,v=e.size;if(s)f=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var m=[n[2],n[2]*n[0],1];h=g.malloc(v,r);var y=d(h,n,m,0);"float32"!==r&&"float64"!==r||c!==t.UNSIGNED_BYTE?p.assign(y,e):b(y,e),f=h.subarray(0,v)}var x=l(t);return t.texImage2D(t.TEXTURE_2D,0,u,n[0],n[1],0,u,c,f),s||g.free(h),new a(t,x,n[0],n[1],u,c)}function h(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");if(v||n(t),"number"==typeof arguments[1])return c(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return c(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1];if(e instanceof HTMLCanvasElement||e instanceof HTMLImageElement||e instanceof HTMLVideoElement||e instanceof ImageData)return u(t,e,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return f(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")}var d=t("ndarray"),p=t("ndarray-ops"),g=t("typedarray-pool");e.exports=h;var v=null,m=null,y=null,b=function(t,e){p.muls(t,e,255)},x=a.prototype;Object.defineProperties(x,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&v.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),m.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&v.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),m.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),y.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),y.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;2>e;++e)if(y.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return 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r&&("setBackground"===t&&"opaque"===e[t]?r[t]=i:r[t]=e[t])}),e.plot3dPixelRatio&&!r.plotGlPixelRatio&&(r.plotGlPixelRatio=r.plot3dPixelRatio)),r.staticPlot&&(r.editable=!1,r.autosizable=!1,r.scrollZoom=!1,r.doubleClick=!1,r.showTips=!1,r.showLink=!1,r.displayModeBar=!1)}function o(t,e,r){var n=S.select(t).selectAll(".plot-container").data([0]);n.enter().insert("div",":first-child").classed("plot-container plotly",!0);var i=n.selectAll(".svg-container").data([0]);i.enter().append("div").classed("svg-container",!0).style("position","relative"),i.html(""),e&&(t.data=e),r&&(t.layout=r),P.micropolar.manager.fillLayout(t),"initial"===t._fullLayout.autosize&&t._context.autosizable&&(w(t,{}),t._fullLayout.autosize=r.autosize=!0),i.style({width:t._fullLayout.width+"px",height:t._fullLayout.height+"px"}),t.framework=P.micropolar.manager.framework(t),t.framework({data:t.data,layout:t.layout},i.node()),t.framework.setUndoPoint();var a=t.framework.svg(),o=1,s=t._fullLayout.title;""!==s&&s||(o=0);var l="Click to enter title",c=function(){this.call(P.util.convertToTspans)},u=a.select(".title-group text").call(c);if(t._context.editable){u.attr({"data-unformatted":s}),s&&s!==l||(o=.2,u.attr({"data-unformatted":l}).text(l).style({opacity:o}).on("mouseover.opacity",function(){S.select(this).transition().duration(100).style("opacity",1)}).on("mouseout.opacity",function(){S.select(this).transition().duration(1e3).style("opacity",0)}));var f=function(){this.call(P.util.makeEditable).on("edit",function(e){t.framework({layout:{title:e}}),this.attr({"data-unformatted":e}).text(e).call(c),this.call(f)}).on("cancel",function(){var t=this.attr("data-unformatted");this.text(t).call(c)})};u.call(f)}return t._context.setBackground(t,t._fullLayout.paper_bgcolor),N.addLinks(t),Promise.resolve()}function s(t){var e,r;t||(t={}),t.xaxis1&&(t.xaxis||(t.xaxis=t.xaxis1),delete t.xaxis1),t.yaxis1&&(t.yaxis||(t.yaxis=t.yaxis1),delete t.yaxis1);var n=P.Axes.list({_fullLayout:t});for(e=0;ee;e++){var o=t.annotations[e];o.ref&&("paper"===o.ref?(o.xref="paper",o.yref="paper"):"data"===o.ref&&(o.xref="x",o.yref="y"),delete o.ref),l(o,"xref"),l(o,"yref")}void 0===t.shapes||Array.isArray(t.shapes)||(console.log("shapes must be an array"),delete t.shapes);var s=(t.shapes||[]).length;for(e=0;s>e;e++){var c=t.shapes[e];l(c,"xref"),l(c,"yref")}var u=t.legend;u&&(u.x>3?(u.x=1.02,u.xanchor="left"):u.x<-2&&(u.x=-.02,u.xanchor="right"),u.y>3?(u.y=1.02,u.yanchor="bottom"):u.y<-2&&(u.y=-.02,u.yanchor="top")),"rotate"===t.dragmode&&(t.dragmode="orbit"),t.scene1&&(t.scene||(t.scene=t.scene1),delete t.scene1);var h=N.getSubplotIds(t,"gl3d");for(e=0;er;++r)b[r]=v[e]+m*y[2+4*r];d.camera={eye:{x:b[0],y:b[1],z:b[2]},center:{x:v[0],y:v[1],z:v[2]},up:{x:y[1],y:y[5],z:y[9]}},delete d.cameraposition}}return R.markTime("finished rest of cleanLayout, starting color"),F.clean(t),R.markTime("finished cleanLayout color.clean"),t}function l(t,e){var r=t[e],n=e.charAt(0);r&&"paper"!==r&&(t[e]=P.Axes.cleanId(r,n))}function c(t,e){for(var r=[],n=(t.concat(Array.isArray(e)?e:[]).filter(function(t){return"uid"in t}).map(function(t){return t.uid})),i=0;ia&&(s=R.randstr(n),-1!==r.indexOf(s));a++);o.uid=R.randstr(n),n.push(o.uid)}if(r.push(o.uid),"histogramy"===o.type&&"xbins"in o&&!("ybins"in o)&&(o.ybins=o.xbins,delete o.xbins),o.error_y&&"opacity"in o.error_y){var l=F.defaults,c=o.error_y.color||(N.traceIs(o,"bar")?F.defaultLine:l[i%l.length]);o.error_y.color=F.addOpacity(F.rgb(c),F.opacity(c)*o.error_y.opacity),delete o.error_y.opacity}if("bardir"in o&&("h"!==o.bardir||!N.traceIs(o,"bar")&&"histogram"!==o.type.substr(0,9)||(o.orientation="h",x(o)),delete o.bardir),"histogramy"===o.type&&x(o),"histogramx"!==o.type&&"histogramy"!==o.type||(o.type="histogram"),"scl"in o&&(o.colorscale=o.scl,delete o.scl),"reversescl"in o&&(o.reversescale=o.reversescl,delete o.reversescl),o.xaxis&&(o.xaxis=P.Axes.cleanId(o.xaxis,"x")),o.yaxis&&(o.yaxis=P.Axes.cleanId(o.yaxis,"y")),N.traceIs(o,"gl3d")&&o.scene&&(o.scene=N.subplotsRegistry.gl3d.cleanId(o.scene)),N.traceIs(o,"pie")||(Array.isArray(o.textposition)?o.textposition=o.textposition.map(u):o.textposition&&(o.textposition=u(o.textposition))),N.traceIs(o,"2dMap")&&("YIGnBu"===o.colorscale&&(o.colorscale="YlGnBu"),"YIOrRd"===o.colorscale&&(o.colorscale="YlOrRd")),N.traceIs(o,"markerColorscale")&&o.marker){var h=o.marker;"YIGnBu"===h.colorscale&&(h.colorscale="YlGnBu"),"YIOrRd"===h.colorscale&&(h.colorscale="YlOrRd")}if("surface"===o.type&&R.isPlainObject(o.contours)){var d=["x","y","z"];for(a=0;an?a.push(i+n):a.push(n);return a}function p(t,e,r){var n,i;for(n=0;n=t.data.length||i<-t.data.length)throw new Error(r+" must be valid indices for gd.data.");if(e.indexOf(i,n+1)>-1||i>=0&&e.indexOf(-t.data.length+i)>-1||0>i&&e.indexOf(t.data.length+i)>-1)throw new Error("each index in "+r+" must be 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e=S.select(t),r=t._fullLayout;if(r._hasGL3D&&N.subplotsRegistry.gl3d.initAxes(t),r._container=e.selectAll(".plot-container").data([0]),r._container.enter().insert("div",":first-child").classed("plot-container",!0).classed("plotly",!0),r._paperdiv=r._container.selectAll(".svg-container").data([0]),r._paperdiv.enter().append("div").classed("svg-container",!0).style("position","relative"),"initial"===r.autosize&&(w(t,{}),r.autosize=!0,t.layout.autosize=!0),r._glcontainer=r._paperdiv.selectAll(".gl-container").data([0]),r._glcontainer.enter().append("div").classed("gl-container",!0),r._geocontainer=r._paperdiv.selectAll(".geo-container").data([0]),r._geocontainer.enter().append("div").classed("geo-container",!0),r._paperdiv.selectAll(".main-svg").remove(),r._paper=r._paperdiv.insert("svg",":first-child").classed("main-svg",!0),r._toppaper=r._paperdiv.append("svg").classed("main-svg",!0),!r._uid){ -var n=[];S.selectAll("defs").each(function(){this.id&&n.push(this.id.split("-")[1])}),r._uid=R.randstr(n)}r._paperdiv.selectAll(".main-svg").attr(X.svgAttrs),r._defs=r._paper.append("defs").attr("id","defs-"+r._uid),r._topdefs=r._toppaper.append("defs").attr("id","topdefs-"+r._uid),r._draggers=r._paper.append("g").classed("draglayer",!0);var i=r._paper.append("g").classed("layer-below",!0);r._shapeLowerLayer=i.append("g").classed("shapelayer",!0);var a=P.Axes.getSubplots(t);a.join("")!==Object.keys(t._fullLayout._plots||{}).join("")&&A(t,a),r._hasCartesian&&M(t,a),r._ternarylayer=r._paper.append("g").classed("ternarylayer",!0),r._subplotShapeLayer=r._paper.selectAll(".shapelayer-subplot");var o=r._paper.append("g").classed("layer-above",!0);r._shapeUpperLayer=o.append("g").classed("shapelayer",!0),r._pielayer=r._paper.append("g").classed("pielayer",!0),r._glimages=r._paper.append("g").classed("glimages",!0),r._geoimages=r._paper.append("g").classed("geoimages",!0),r._infolayer=r._toppaper.append("g").classed("infolayer",!0),r._zoomlayer=r._toppaper.append("g").classed("zoomlayer",!0),r._hoverlayer=r._toppaper.append("g").classed("hoverlayer",!0),t.emit("plotly_framework");var s=R.syncOrAsync([T,function(){return P.Axes.doTicks(t,"redraw")},j.init],t);return s&&s.then&&t._promises.push(s),s}function A(t,e){function r(e,r){return function(){return P.Axes.getFromId(t,e,r)}}for(var n,i,a=t._fullLayout._plots={},o=0;o0,_=P.Axes.getSubplots(t).join(""),w=Object.keys(t._fullLayout._plots||{}).join(""),A=w===_;x?t.framework===k&&!b&&A||(t.framework=k,k(t)):A?b&&k(t):(t.framework=k,k(t)),b&&P.Axes.saveRangeInitial(t);var 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n=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),l=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],c=0,u=t.clientWidth,f=t.clientHeight,h={keyBindingMode:"rotate",view:n,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:n.modes,tick:function(){var e=i(),r=this.delay,a=e-2*r;n.idle(e-r),n.recalcMatrix(a),n.flush(e-(100+2*r));for(var o=!0,s=n.computedMatrix,h=0;16>h;++h)o=o&&l[h]===s[h],l[h]=s[h];var d=t.clientWidth===u&&t.clientHeight===f;return u=t.clientWidth,f=t.clientHeight,o?!d:(c=Math.exp(n.computedRadius[0]),!0)},lookAt:function(t,e,r){n.lookAt(n.lastT(),t,e,r)},rotate:function(t,e,r){n.rotate(n.lastT(),t,e,r)},pan:function(t,e,r){n.pan(n.lastT(),t,e,r)},translate:function(t,e,r){n.translate(n.lastT(),t,e,r)}};Object.defineProperties(h,{matrix:{get:function(){return n.computedMatrix},set:function(t){return 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i=t("right-now"),a=t("3d-view"),o=t("mouse-change"),s=t("mouse-wheel")},{"3d-view":21,"mouse-change":211,"mouse-wheel":213,"right-now":247}],428:[function(t,e,r){"use strict";var n=t("./scene"),i=t("../plots"),a=["xaxis","yaxis","zaxis"];r.name="gl3d",r.attr="scene",r.idRoot="scene",r.idRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attrRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attributes=t("./layout/attributes"),r.layoutAttributes=t("./layout/layout_attributes"),r.supplyLayoutDefaults=t("./layout/defaults"),r.plot=function(t){var e=t._fullLayout,r=t._fullData,a=i.getSubplotIds(e,"gl3d");e._paperdiv.style({width:e.width+"px",height:e.height+"px"}),t._context.setBackground(t,e.paper_bgcolor);for(var o=0;ol;++l){var c=a[l],u=s[c];u._gd=t}}},{"../plots":441,"./layout/attributes":429,"./layout/defaults":433,"./layout/layout_attributes":434,"./scene":438,"./set_convert":439}],429:[function(t,e,r){"use strict";e.exports={scene:{valType:"subplotid",dflt:"scene"}}},{}],430:[function(t,e,r){"use strict";var n=t("../../../components/color"),i=t("../../cartesian/layout_attributes"),a=t("../../../lib/extend").extendFlat;e.exports={showspikes:{valType:"boolean",dflt:!0},spikesides:{valType:"boolean",dflt:!0},spikethickness:{valType:"number",min:0,dflt:2},spikecolor:{valType:"color",dflt:n.defaultLine},showbackground:{valType:"boolean",dflt:!1},backgroundcolor:{valType:"color",dflt:"rgba(204, 204, 204, 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f=i[s[u]];if(f._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(f._length)===1/0)c[u]=[];else{f.range[0]=r[u].lo/t.dataScale[u],f.range[1]=r[u].hi/t.dataScale[u],f._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),f.range[0]===f.range[1]&&(f.range[0]-=1,f.range[1]+=1);var h=f.tickmode;if("auto"===f.tickmode){f.tickmode="linear";var d=f.nticks||a.Lib.constrain(f._length/40,4,9);a.Axes.autoTicks(f,Math.abs(f.range[1]-f.range[0])/d)}for(var p=a.Axes.calcTicks(f),g=0;gu;++u){l[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]);for(var g=0;2>g;++g)e.bounds[g][u]=t.glplot.bounds[g][u]}t.contourLevels=n(c)}e.exports=i;var a=t("../../../plotly"),o=t("../../../lib/html2unicode"),s=["xaxis","yaxis","zaxis"],l=[0,0,0]},{"../../../lib/html2unicode":371,"../../../plotly":390}],437:[function(t,e,r){"use strict";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;4>r;++r)for(n=0;4>n;++n)i[n]+=t[4*r+n]*e[r];return i}function i(t,e){var r=n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])));return r}e.exports=i},{}],438:[function(t,e,r){"use strict";function n(t){function e(e,r){if("string"==typeof r)return r;var n=t.fullSceneLayout[e];return d.tickText(n,n.c2l(r),"hover").text}var r=t.svgContainer,n=t.container.getBoundingClientRect(),i=n.width,a=n.height;r.setAttributeNS(null,"viewBox","0 0 "+i+" "+a),r.setAttributeNS(null,"width",i),r.setAttributeNS(null,"height",a),w(t),t.glplot.axes.update(t.axesOptions);for(var o=Object.keys(t.traces),s=null,l=t.glplot.selection,c=0;ca;++a){var u=l[A[a]];b(u)}t?Array.isArray(t)||(t=[t]):t=[];for(var f=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],a=0;ao;++o)f[0][o]>f[1][o]?d[o]=1:f[1][o]===f[0][o]?d[o]=1:d[o]=1/(f[1][o]-f[0][o]);this.dataScale=d;for(var a=0;aa;++a){var u=l[A[a]],_=u.type;if(_ in x?(x[_].acc*=d[a],x[_].count+=1):x[_]={acc:d[a],count:1},u.autorange){for(m[0][a]=1/0,m[1][a]=-(1/0),o=0;om[1][a])m[0][a]=-1,m[1][a]=1;else{var k=m[1][a]-m[0][a];m[0][a]-=k/32,m[1][a]+=k/32}}else{var M=l[A[a]].range;m[0][a]=M[0],m[1][a]=M[1]}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),y[a]=m[1][a]-m[0][a],this.glplot.bounds[0][a]=m[0][a]*d[a],this.glplot.bounds[1][a]=m[1][a]*d[a]}for(var T=[1,1,1],a=0;3>a;++a){var u=l[A[a]],_=u.type,E=x[_];T[a]=Math.pow(E.acc,1/E.count)/d[a]}var L,S=4;if("auto"===l.aspectmode)L=Math.max.apply(null,T)/Math.min.apply(null,T)<=S?T:[1,1,1];else if("cube"===l.aspectmode)L=[1,1,1];else if("data"===l.aspectmode)L=T;else{if("manual"!==l.aspectmode)throw new Error("scene.js aspectRatio was not one of the enumerated types");var C=l.aspectratio;L=[C.x,C.y,C.z]}l.aspectratio.x=c.aspectratio.x=L[0],l.aspectratio.y=c.aspectratio.y=L[1],l.aspectratio.z=c.aspectratio.z=L[2],this.glplot.aspect=L;var z=l.domain||null,P=e._size||null;if(z&&P){var R=this.container.style;R.position="absolute",R.left=P.l+z.x[0]*P.w+"px",R.top=P.t+(1-z.y[1])*P.h+"px",R.width=P.w*(z.x[1]-z.x[0])+"px",R.height=P.h*(z.y[1]-z.y[0])+"px"}this.glplot.redraw()}},k.destroy=function(){this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null},k.setCameraToDefault=function(){this.setCamera({eye:{x:1.25,y:1.25,z:1.25},center:{x:0,y:0,z:0},up:{x:0,y:0,z:1}})},k.getCamera=function(){this.glplot.camera.view.recalcMatrix(this.camera.view.lastT()); -var t=this.glplot.camera.up,e=this.glplot.camera.center,r=this.glplot.camera.eye;return{up:{x:t[0],y:t[1],z:t[2]},center:{x:e[0],y:e[1],z:e[2]},eye:{x:r[0],y:r[1],z:r[2]}}},k.setCamera=function(t){function e(t){return[[t.eye.x,t.eye.y,t.eye.z],[t.center.x,t.center.y,t.center.z],[t.up.x,t.up.y,t.up.z]]}var r={};r[this.id]=t,this.glplot.camera.lookAt.apply(this,e(t)),this.graphDiv.emit("plotly_relayout",r)},k.saveCamera=function(t){function e(t,e,r,n){var i=["up","center","eye"],a=["x","y","z"];return t[i[r]][a[n]]===e[i[r]][a[n]]}var r=this.getCamera(),n=f.nestedProperty(t,this.id+".camera"),i=n.get(),a=!1;if(void 0===i)a=!0;else for(var o=0;3>o;o++)for(var s=0;3>s;s++)if(!e(r,i,o,s)){a=!0;break}return a&&n.set(r),a},k.updateFx=function(t,e){var r=this.camera;r&&("orbit"===t?(r.mode="orbit",r.keyBindingMode="rotate"):"turntable"===t?(r.up=[0,0,1],r.mode="turntable",r.keyBindingMode="rotate"):r.keyBindingMode=t),this.fullSceneLayout.hovermode=e},k.toImage=function(t){t||(t="png"),this.staticMode&&this.container.appendChild(l),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,n=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*n*4);e.readPixels(0,0,r,n,e.RGBA,e.UNSIGNED_BYTE,i);for(var a=0,o=n-1;o>a;++a,--o)for(var s=0;r>s;++s)for(var c=0;4>c;++c){var u=i[4*(r*a+s)+c];i[4*(r*a+s)+c]=i[4*(r*o+s)+c],i[4*(r*o+s)+c]=u}var f=document.createElement("canvas");f.width=r,f.height=n;var h=f.getContext("2d"),d=h.createImageData(r,n);d.data.set(i),h.putImageData(d,0,0);var p;switch(t){case"jpeg":p=f.toDataURL("image/jpeg");break;case"webp":p=f.toDataURL("image/webp");break;default:p=f.toDataURL("image/png")}return this.staticMode&&this.container.removeChild(l),p},e.exports=a},{"../../lib":372,"../../lib/show_no_webgl_msg":381,"../../lib/str2rgbarray":383,"../../plots/cartesian/axes":393,"../../plots/cartesian/graph_interact":400,"../../plots/plots":441,"./camera":427,"./layout/convert":432,"./layout/spikes":435,"./layout/tick_marks":436,"./project":437,"./set_convert":439,"gl-plot3d":151}],439:[function(t,e,r){"use strict";var n=t("../cartesian/axes"),i=function(){};e.exports=function(t){n.setConvert(t),t.setScale=i}},{"../cartesian/axes":393}],440:[function(t,e,r){"use strict";var n=t("../plotly"),i=t("./font_attributes"),a=t("../components/color/attributes"),o=n.Lib.extendFlat;e.exports={font:{family:o({},i.family,{dflt:'"Open Sans", verdana, arial, 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i=k+o.pxmid[0]*e.rCenter+(e.x||0),s=A+o.pxmid[1]*e.rCenter+(e.y||0);e.outside&&(o.yLabelMin=s-r.height/2,o.yLabelMid=s,o.yLabelMax=s+r.height/2,o.labelExtraX=0,o.labelExtraY=0,m=!0),t.attr("transform","translate("+i+","+s+")"+(e.scale<1?"scale("+e.scale+")":"")+(e.rotate?"rotate("+e.rotate+")":"")+"translate("+-(r.left+r.right)/2+","+-(r.top+r.bottom)/2+")")})}),m&&o(l,v),s.each(function(t){if(t.labelExtraX||t.labelExtraY){var e=u.select(this),r=e.select("g.slicetext text");r.attr("transform","translate("+t.labelExtraX+","+t.labelExtraY+")"+r.attr("transform"));var n=t.cxFinal+t.pxmid[0],i=t.cyFinal+t.pxmid[1],a="M"+n+","+i,o=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var s=t.labelExtraX*t.pxmid[1]/t.pxmid[0],l=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);a+=Math.abs(s)>Math.abs(l)?"l"+l*t.pxmid[0]/t.pxmid[1]+","+l+"H"+(n+t.labelExtraX+o):"l"+t.labelExtraX+","+s+"v"+(l-s)+"h"+o}else 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f=s(c.colorscale),h=c.color,d=c.cmin,p=c.cmax;i(d)||(d=a.aggNums(Math.min,null,h)),i(p)||(p=a.aggNums(Math.max,null,h));var g=e[0].t.cb=l(t,u);g.fillcolor(n.scale.linear().domain(f.map(function(t){return d+t[0]*(p-d)})).range(f.map(function(t){return t[1]}))).filllevels({start:d,end:p,size:(p-d)/254}).options(c.colorbar)(),a.markTime("done colorbar")}},{"../../components/colorbar/draw":300,"../../components/colorscale/get_scale":308,"../../lib":372,"../../plots/plots":441,d3:87,"fast-isnumeric":95}],544:[function(t,e,r){"use strict";e.exports={PTS_LINESONLY:20}},{}],545:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("./constants"),o=t("./subtypes"),s=t("./xy_defaults"),l=t("./marker_defaults"),c=t("./line_defaults"),u=t("./line_shape_defaults"),f=t("./text_defaults"),h=t("./fillcolor_defaults"),d=t("../../components/errorbars/defaults");e.exports=function(t,e,r,p){function g(r,a){return n.coerce(t,e,i,r,a)}var v=s(t,e,g),m=vi(f))break;l=f,y=g[0]*p[0]+g[1]*p[1],y>v?(v=y,c=f,d=!1):m>y&&(m=y,u=f,d=!0)}if(d?(C[z++]=c,l!==u&&(C[z++]=u)):(u!==s&&(C[z++]=u),l!==c&&(C[z++]=c)),C[z++]=l,o>=t.length||!f)break;C[z++]=f,s=f}}else C[z++]=c}E.push(C.slice(0,z))}return E}},{"../../plots/cartesian/axes":393}],552:[function(t,e,r){"use strict";e.exports=function(t,e,r){var n=r("line.shape");"spline"===n&&r("line.smoothing")}},{}],553:[function(t,e,r){"use strict";var n=t("fast-isnumeric");e.exports=function(t){var e=t.marker,r=e.sizeref||1,i=e.sizemin||0,a="area"===e.sizemode?function(t){return Math.sqrt(t/r)}:function(t){return t/r};return function(t){var e=a(t/2);return n(e)&&e>0?Math.max(e,i):0}}},{"fast-isnumeric":95}],554:[function(t,e,r){"use strict";var n=t("../../components/colorscale/has_colorscale"),i=t("../../components/colorscale/calc"),a=t("./subtypes");e.exports=function(t){if(a.hasMarkers(t)){var e=t.marker;n(t,"marker")&&i(t,e.color,"marker","c"),n(t,"marker.line")&&i(t,e.line.color,"marker.line","c")}}},{"../../components/colorscale/calc":304,"../../components/colorscale/has_colorscale":309,"./subtypes":559}],555:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../components/colorscale/has_colorscale"),a=t("../../components/colorscale/defaults"),o=t("./subtypes");e.exports=function(t,e,r,s,l){var c,u=o.isBubble(t),f=(t.line||{}).color;f&&(r=f),l("marker.symbol"),l("marker.opacity",u?.7:1),l("marker.size"),l("marker.color",r),i(t,"marker")&&a(t,e,s,l,{prefix:"marker.",cLetter:"c"}),c=f&&e.marker.color!==f?f:u?n.background:n.defaultLine,l("marker.line.color",c),i(t,"marker.line")&&a(t,e,s,l,{prefix:"marker.line.",cLetter:"c"}),l("marker.line.width",u?1:0),u&&(l("marker.sizeref"),l("marker.sizemin"),l("marker.sizemode"))}},{"../../components/color":297,"../../components/colorscale/defaults":306,"../../components/colorscale/has_colorscale":309,"./subtypes":559}],556:[function(t,e,r){"use strict";function n(t,e,r){var n=e.x(),a=e.y(),o=i.extent(n.range.map(n.l2c)),s=i.extent(a.range.map(a.l2c));r.forEach(function(t,e){var n=t[0].trace;if(l.hasMarkers(n)){var i=n.marker.maxdisplayed;if(0!==i){var a=t.filter(function(t){return t.x>=o[0]&&t.x<=o[1]&&t.y>=s[0]&&t.y<=s[1]}),c=Math.ceil(a.length/i),u=0;r.forEach(function(t,r){var 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d=t("gl-line3d"),p=t("gl-scatter3d"),g=t("gl-error3d"),v=t("gl-mesh3d"),m=t("delaunay-triangulate"),y=t("../../lib"),b=t("../../lib/str2rgbarray"),x=t("../../lib/gl_format_color"),_=t("../scatter/make_bubble_size_func"),w=t("../../constants/gl3d_dashes"),k=t("../../constants/gl_markers"),A=t("./calc_errors"),M=n.prototype;M.handlePick=function(t){if(t.object&&(t.object===this.linePlot||t.object===this.delaunayMesh||t.object===this.textMarkers||t.object===this.scatterPlot)){t.object.highlight&&t.object.highlight(null),this.scatterPlot&&(t.object=this.scatterPlot,this.scatterPlot.highlight(t.data)),this.textLabels&&void 0!==this.textLabels[t.data.index]?t.textLabel=this.textLabels[t.data.index]:t.textLabel="";var e=t.data.index;return t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]],!0}},M.update=function(t){var e,r,n,a,o=this.scene.glplot.gl,s=w.solid;this.data=t;var l=u(this.scene,t);"mode"in l&&(this.mode=l.mode),"lineDashes"in l&&l.lineDashes in w&&(s=w[l.lineDashes]),this.color=f(l.scatterColor)||f(l.lineColor),this.dataPoints=l.position,e={gl:o,position:l.position,color:l.lineColor,lineWidth:l.lineWidth||1,dashes:s[0],dashScale:s[1],opacity:t.opacity,connectGaps:t.connectgaps},-1!==this.mode.indexOf("lines")?this.linePlot?this.linePlot.update(e):(this.linePlot=d(e),this.scene.glplot.add(this.linePlot)):this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose(),this.linePlot=null);var c=t.opacity;if(t.marker&&t.marker.opacity&&(c*=t.marker.opacity),r={gl:o,position:l.position,color:l.scatterColor,size:l.scatterSize,glyph:l.scatterMarker,opacity:c,orthographic:!0,lineWidth:l.scatterLineWidth,lineColor:l.scatterLineColor,project:l.project,projectScale:l.projectScale,projectOpacity:l.projectOpacity},-1!==this.mode.indexOf("markers")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=p(r),this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),a={gl:o,position:l.position,glyph:l.text,color:l.textColor,size:l.textSize,angle:l.textAngle,alignment:l.textOffset,font:l.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=l.text,-1!==this.mode.indexOf("text")?this.textMarkers?this.textMarkers.update(a):(this.textMarkers=p(a),this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),n={gl:o,position:l.position,color:l.errorColor,error:l.errorBounds,lineWidth:l.errorLineWidth,capSize:l.errorCapSize,opacity:t.opacity},this.errorBars?l.errorBounds?this.errorBars.update(n):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):l.errorBounds&&(this.errorBars=g(n),this.scene.glplot.add(this.errorBars)),l.delaunayAxis>=0){var h=i(l.position,l.delaunayColor,l.delaunayAxis);h.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(h):(h.gl=o,this.delaunayMesh=v(h),this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)},M.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())},e.exports=h},{"../../constants/gl3d_dashes":358,"../../constants/gl_markers":359,"../../lib":372,"../../lib/gl_format_color":370,"../../lib/str2rgbarray":383,"../scatter/make_bubble_size_func":553,"./calc_errors":564,"delaunay-triangulate":88,"gl-error3d":112,"gl-line3d":119,"gl-mesh3d":142,"gl-scatter3d":162}],566:[function(t,e,r){"use strict";function n(t,e,r){var n=0,i=r("x"),a=r("y"),o=r("z");return i&&a&&o&&(n=Math.min(i.length,a.length,o.length),n=0&&h("surfacecolor",p||g);for(var v=["x","y","z"],m=0;3>m;++m){var y="projection."+v[m];h(y+".show")&&(h(y+".opacity"),h(y+".scale"))}c(t,e,r,{axis:"z"}),c(t,e,r,{axis:"y",inherit:"z"}),c(t,e,r,{axis:"x",inherit:"z"})}},{"../../components/errorbars/defaults":324,"../../lib":372,"../scatter/line_defaults":550,"../scatter/marker_defaults":555,"../scatter/subtypes":559,"../scatter/text_defaults":560,"./attributes":562}],567:[function(t,e,r){"use strict";var n={};n.plot=t("./convert"),n.attributes=t("./attributes"),n.markerSymbols=t("../../constants/gl_markers"),n.supplyDefaults=t("./defaults"),n.colorbar=t("../scatter/colorbar"),n.calc=t("./calc"),n.moduleType="trace",n.name="scatter3d",n.basePlotModule=t("../../plots/gl3d"),n.categories=["gl3d","symbols","markerColorscale","showLegend"],n.meta={},e.exports=n},{"../../constants/gl_markers":359,"../../plots/gl3d":428,"../scatter/colorbar":543,"./attributes":562,"./calc":563,"./convert":565,"./defaults":566}],568:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../plots/attributes"),a=t("../../lib/extend").extendFlat,o=n.marker,s=n.line,l=o.line;e.exports={lon:{valType:"data_array"},lat:{valType:"data_array"},locations:{valType:"data_array"},locationmode:{valType:"enumerated",values:["ISO-3","USA-states","country names"],dflt:"ISO-3"},mode:a({},n.mode,{dflt:"markers"}),text:a({},n.text,{}),line:{color:s.color,width:s.width,dash:s.dash},marker:{symbol:o.symbol,opacity:o.opacity,size:o.size,sizeref:o.sizeref,sizemin:o.sizemin,sizemode:o.sizemode,color:o.color,colorscale:o.colorscale,cauto:o.cauto,cmax:o.cmax,cmin:o.cmin,autocolorscale:o.autocolorscale,reversescale:o.reversescale,showscale:o.showscale,line:{color:l.color,width:l.width,colorscale:l.colorscale,cauto:l.cauto,cmax:l.cmax,cmin:l.cmin,autocolorscale:l.autocolorscale,reversescale:l.reversescale}},textfont:n.textfont,textposition:n.textposition,hoverinfo:a({},i.hoverinfo,{flags:["lon","lat","location","text","name"]}),_nestedModules:{"marker.colorbar":"Colorbar"}}},{"../../lib/extend":367,"../../plots/attributes":391,"../scatter/attributes":540}],569:[function(t,e,r){"use strict";var n=t("../scatter/marker_colorscale_calc");e.exports=function(t,e){var r=[{x:!1,y:!1,trace:e,t:{}}];return n(e),r}},{"../scatter/marker_colorscale_calc":554}],570:[function(t,e,r){"use strict";function n(t,e,r){var n,i,a=0,o=r("locations");return o?(r("locationmode"),a=o.length):(n=r("lon")||[],i=r("lat")||[],a=Math.min(n.length,i.length),an;n++)r[n]=[t.lon[n],t.lat[n]];return{type:"LineString",coordinates:r,trace:t}}function a(t,e){function r(e){var r=t.mockAxis;return c.tickText(r,r.c2l(e),"hover").text+"\xb0"}var n=e.hoverinfo;if("none"===n)return function(t){delete t.textLabel};var i="all"===n?v.hoverinfo.flags:n.split("+"),a=-1!==i.indexOf("location")&&Array.isArray(e.locations),o=-1!==i.indexOf("lon"),s=-1!==i.indexOf("lat"),l=-1!==i.indexOf("text");return function(t){var n=[];a?n.push(t.location):o&&s?n.push("("+r(t.lon)+", "+r(t.lat)+")"):o?n.push("lon: "+r(t.lon)):s&&n.push("lat: "+r(t.lat)),l&&n.push(t.tx||e.text),t.textLabel=n.join("
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r=t.framework.select(".scattergeolayer").selectAll("g.trace.scattergeo").data(e,function(t){return t.uid});r.enter().append("g").attr("class","trace scattergeo"),r.exit().remove(),r.selectAll("*").remove(),r.each(function(t){var e=s.select(this);g.hasLines(t)&&e.selectAll("path.js-line").data([i(t)]).enter().append("path").classed("js-line",!0)}),r.each(function(e){function r(r,n){if(t.showHover){var i=t.projection([r.lon,r.lat]);h(r),l.loneHover({x:i[0],y:i[1],name:v?e.name:void 0,text:r.textLabel,color:r.mc||(e.marker||{}).color},{container:t.hoverContainer.node()}),y=d(r,n),t.graphDiv.emit("plotly_hover",y)}}function n(e,r){t.graphDiv.emit("plotly_click",d(e,r))}var i=s.select(this),c=g.hasMarkers(e),u=g.hasText(e);if(c||u){var f=m.calcGeoJSON(e,t.topojson),h=a(t,e),d=o(e),p=e.hoverinfo,v="all"===p||-1!==p.indexOf("name"),y=null;c&&i.selectAll("path.point").data(f).enter().append("path").classed("point",!0).on("mouseover",r).on("click",n).on("mouseout",function(){l.loneUnhover(t.hoverContainer),t.graphDiv.emit("plotly_unhover",y)}).on("mousedown",function(){l.loneUnhover(t.hoverContainer)}).on("mouseup",r),u&&i.selectAll("g").data(f).enter().append("g").append("text")}}),m.style(t)},m.style=function(t){var e=t.framework.selectAll("g.trace.scattergeo");e.style("opacity",function(t){return t.opacity}),e.each(function(t){s.select(this).selectAll("path.point").call(p.pointStyle,t),s.select(this).selectAll("text").call(p.textPointStyle,t)}),e.selectAll("path.js-line").style("fill","none").each(function(t){var e=t.trace,r=e.line||{};s.select(this).call(d.stroke,r.color).call(p.dashLine,r.dash||"",r.width||0)})}},{"../../components/color":297,"../../components/drawing":319,"../../lib/array_to_calc_item":363,"../../lib/geo_location_utils":369,"../../lib/topojson_utils":385,"../../plots/cartesian/axes":393,"../../plots/cartesian/graph_interact":400,"../scatter/subtypes":559,"./attributes":568,d3:87}],573:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../constants/gl2d_dashes"),a=t("../../constants/gl_markers"),o=t("../../lib/extend").extendFlat,s=n.line,l=n.marker,c=l.line;e.exports={x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,text:o({},n.text,{}),mode:{valType:"flaglist",flags:["lines","markers"],extras:["none"]},line:{color:s.color,width:s.width,dash:{valType:"enumerated",values:Object.keys(i),dflt:"solid"}},marker:{color:l.color,symbol:{valType:"enumerated",values:Object.keys(a),dflt:"circle",arrayOk:!0},size:l.size,sizeref:l.sizeref,sizemin:l.sizemin,sizemode:l.sizemode,opacity:l.opacity,colorscale:l.colorscale,cauto:l.cauto,cmax:l.cmax,cmin:l.cmin,autocolorscale:l.autocolorscale,reversescale:l.reversescale,showscale:l.showscale,line:{color:c.color,width:c.width,colorscale:c.colorscale,cauto:c.cauto,cmax:c.cmax,cmin:c.cmin,autocolorscale:c.autocolorscale,reversescale:c.reversescale}},fill:o({},n.fill,{values:["none","tozeroy","tozerox"]}),fillcolor:n.fillcolor,_nestedModules:{error_x:"ErrorBars",error_y:"ErrorBars","marker.colorbar":"Colorbar"}}},{"../../constants/gl2d_dashes":357,"../../constants/gl_markers":359,"../../lib/extend":367,"../scatter/attributes":540}],574:[function(t,e,r){"use 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f=t("gl-scatter2d"),h=t("gl-scatter2d-fancy"),d=t("gl-line2d"),p=t("gl-error2d"),g=t("fast-isnumeric"),v=t("../../lib"),m=t("../../plots/cartesian/axes"),y=t("../../components/errorbars"),b=t("../../lib/str2rgbarray"),x=t("../../lib/gl_format_color"),_=t("../scatter/subtypes"),w=t("../scatter/make_bubble_size_func"),k=t("../scatter/get_trace_color"),A=t("../../constants/gl_markers"),M=t("../../constants/gl2d_dashes"),T=["xaxis","yaxis"],E=n.prototype;E.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:[this.xData[e],this.yData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:Array.isArray(this.color)?this.color[e]:this.color,name:this.name,hoverinfo:this.hoverinfo}},E.isFancy=function(t){if("linear"!==this.scene.xaxis.type)return!0;if("linear"!==this.scene.yaxis.type)return!0;if(!t.x||!t.y)return!0;var e=t.marker||{};if(Array.isArray(e.symbol)||"circle"!==e.symbol||Array.isArray(e.size)||Array.isArray(e.line.width)||Array.isArray(e.opacity))return!0;var r=e.color;if(Array.isArray(r))return!0;var n=Array.isArray(e.line.color);return Array.isArray(n)?!0:this.hasErrorX?!0:!!this.hasErrorY};var L=i.bind(null,function(t){return+t}),S=i.bind(null,b),C=i.bind(null,function(t){return A[t]||"\u25cf"});E.update=function(t){t.visible!==!0?(this.hasLines=!1,this.hasErrorX=!1,this.hasErrorY=!1,this.hasMarkers=!1):(this.hasLines=_.hasLines(t),this.hasErrorX=t.error_x.visible===!0,this.hasErrorY=t.error_y.visible===!0,this.hasMarkers=_.hasMarkers(t)),this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-(1/0),-(1/0)],this.isFancy(t)?this.updateFancy(t):this.updateFast(t),this.color=k(t,{})},E.updateFast=function(t){for(var e,r,n=this.xData=t.x,i=this.yData=t.y,a=n.length,o=new Array(a),s=new 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e,r,n,a,o,l,u,f,h=this.scene,d=h.xaxis,p=h.yaxis,g=this.bounds,v=this.xData=d.makeCalcdata(t,"x"),m=this.yData=p.makeCalcdata(t,"y"),b=y.calcFromTrace(t,h.fullLayout),x=v.length,_=new Array(x),k=new Float32Array(2*x),A=new Float32Array(4*x),M=new Float32Array(4*x),T=0,E=0,S=0,z=0,P="log"===d.type?function(t){return d.d2l(t)}:function(t){return t},R="log"===p.type?function(t){return p.d2l(t)}:function(t){return t};for(e=0;x>e;++e)n=P(v[e]),a=R(m[e]),isNaN(n)||isNaN(a)||(_[T++]=e,k[E++]=n,k[E++]=a,o=A[S++]=n-b[e].xs||0,l=A[S++]=b[e].xh-n||0,A[S++]=0,A[S++]=0,M[z++]=0,M[z++]=0,u=M[z++]=a-b[e].ys||0,f=M[z++]=b[e].yh-a||0,g[0]=Math.min(g[0],n-o),g[1]=Math.min(g[1],a-u),g[2]=Math.max(g[2],n+l),g[3]=Math.max(g[3],a+f));k=c(k,E),this.idToIndex=_,this.updateLines(t,k),this.updateError("X",t,k,A),this.updateError("Y",t,k,M);var O;if(this.hasMarkers){this.scatterOptions.positions=k,this.scatterOptions.sizes=new Array(T),this.scatterOptions.glyphs=new Array(T),this.scatterOptions.borderWidths=new 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u=e[r+1]-e[r],l=16*r,f=this.prevMatrix,h=!0,c=0;16>c;++c)f[c]=i[l++];for(var p=this.nextMatrix,c=0;16>c;++c)p[c]=i[l++],h=h&&f[c]===p[c];if(1e-6>u||h)for(var c=0;16>c;++c)n[c]=f[c];else o(n,f,p,(t-e[r])/u)}var g=this.computedUp;g[0]=n[1],g[1]=n[5],g[2]=n[6],d(g,g);var v=this.computedInverse;s(v,n);var m=this.computedEye,y=v[15];m[0]=v[12]/y,m[1]=v[13]/y,m[2]=v[14]/y;for(var b=this.computedCenter,x=Math.exp(this.computedRadius[0]),c=0;3>c;++c)b[c]=m[c]-n[2+4*c]*x}},g.idle=function(t){if(!(tn;++n)e.push(e[r++]);this._time.push(t)}},g.flush=function(t){var e=a.gt(this._time,t)-2;0>e||(this._time.slice(0,e),this._components.slice(0,16*e))},g.lastT=function(){return this._time[this._time.length-1]},g.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||p,n=n||this.computedUp,this.setMatrix(t,f(this.computedMatrix,e,r,n));for(var i=0,a=0;3>a;++a)i+=Math.pow(r[a]-e[a],2);i=Math.log(Math.sqrt(i)),this.computedRadius[0]=i},g.rotate=function(t,e,r,n){this.recalcMatrix(t);var i=this.computedInverse;e&&c(i,i,e),r&&l(i,i,r),n&&u(i,i,n),this.setMatrix(t,s(this.computedMatrix,i))};var v=[0,0,0];g.pan=function(t,e,r,n){v[0]=-(e||0),v[1]=-(r||0),v[2]=-(n||0),this.recalcMatrix(t);var i=this.computedInverse;h(i,i,v),this.setMatrix(t,s(i,i))},g.translate=function(t,e,r,n){v[0]=e||0,v[1]=r||0,v[2]=n||0,this.recalcMatrix(t);var i=this.computedMatrix;h(i,i,v),this.setMatrix(t,i)},g.setMatrix=function(t,e){if(!(tr;++r)this._components.push(e[r])}},g.setDistance=function(t,e){this.computedRadius[0]=e},g.setDistanceLimits=function(t,e){var r=this._limits;r[0]=t,r[1]=e},g.getDistanceLimits=function(t){var e=this._limits;return t?(t[0]=e[0],t[1]=e[1],t):e}},{"binary-search-bounds":29,"gl-mat4/invert":137,"gl-mat4/lookAt":138,"gl-mat4/rotateX":142,"gl-mat4/rotateY":143,"gl-mat4/rotateZ":144,"gl-mat4/scale":145,"gl-mat4/translate":146,"gl-vec3/normalize":27,"mat4-interpolate":30}],29:[function(t,e,r){arguments[4][21][0].apply(r,arguments)},{dup:21}],30:[function(t,e,r){function n(t,e,r,n){if(0===u(e)||0===u(r))return!1;var i=c(e,h.translate,h.scale,h.skew,h.perspective,h.quaternion),a=c(r,d.translate,d.scale,d.skew,d.perspective,d.quaternion);return i&&a?(s(p.translate,h.translate,d.translate,n),s(p.skew,h.skew,d.skew,n),s(p.scale,h.scale,d.scale,n),s(p.perspective,h.perspective,d.perspective,n),f(p.quaternion,h.quaternion,d.quaternion,n),l(t,p.translate,p.scale,p.skew,p.perspective,p.quaternion),!0):!1}function i(){return{translate:a(),scale:a(1),skew:a(),perspective:o(),quaternion:o()}}function a(t){return[t||0,t||0,t||0]}function o(){return[0,0,0,1]}var s=t("gl-vec3/lerp"),l=t("mat4-recompose"),c=t("mat4-decompose"),u=t("gl-mat4/determinant"),f=t("quat-slerp"),h=i(),d=i(),p=i();e.exports=n},{"gl-mat4/determinant":133,"gl-vec3/lerp":26,"mat4-decompose":31,"mat4-recompose":33,"quat-slerp":34}],31:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3];return t[0]=r[0]*n+r[4]*i+r[8]*a+r[12]*o,t[1]=r[1]*n+r[5]*i+r[9]*a+r[13]*o,t[2]=r[2]*n+r[6]*i+r[10]*a+r[14]*o,t[3]=r[3]*n+r[7]*i+r[11]*a+r[15]*o,t}function i(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}function a(t,e,r,n,i){t[0]=e[0]*n+r[0]*i,t[1]=e[1]*n+r[1]*i,t[2]=e[2]*n+r[2]*i}var o=t("./normalize"),s=t("gl-mat4/create"),l=t("gl-mat4/clone"),c=t("gl-mat4/determinant"),u=t("gl-mat4/invert"),f=t("gl-mat4/transpose"),h={length:t("gl-vec3/length"),normalize:t("gl-vec3/normalize"),dot:t("gl-vec3/dot"),cross:t("gl-vec3/cross")},d=s(),p=s(),g=[0,0,0,0],v=[[0,0,0],[0,0,0],[0,0,0]],m=[0,0,0];e.exports=function(t,e,r,s,y,b){if(e||(e=[0,0,0]),r||(r=[0,0,0]),s||(s=[0,0,0]),y||(y=[0,0,0,1]),b||(b=[0,0,0,1]),!o(d,t))return!1;if(l(p,d),p[3]=0,p[7]=0,p[11]=0,p[15]=1,Math.abs(c(p)<1e-8))return!1;var x=d[3],_=d[7],w=d[11],k=d[12],A=d[13],M=d[14],T=d[15];if(0!==x||0!==_||0!==w){g[0]=x,g[1]=_,g[2]=w,g[3]=T;var E=u(p,p);if(!E)return!1;f(p,p),n(y,g,p)}else y[0]=y[1]=y[2]=0,y[3]=1;if(e[0]=k,e[1]=A,e[2]=M,i(v,d),r[0]=h.length(v[0]),h.normalize(v[0],v[0]),s[0]=h.dot(v[0],v[1]),a(v[1],v[1],v[0],1,-s[0]),r[1]=h.length(v[1]),h.normalize(v[1],v[1]),s[0]/=r[1],s[1]=h.dot(v[0],v[2]),a(v[2],v[2],v[0],1,-s[1]),s[2]=h.dot(v[1],v[2]),a(v[2],v[2],v[1],1,-s[2]),r[2]=h.length(v[2]),h.normalize(v[2],v[2]),s[1]/=r[2],s[2]/=r[2],h.cross(m,v[1],v[2]),h.dot(v[0],m)<0)for(var L=0;3>L;L++)r[L]*=-1,v[L][0]*=-1,v[L][1]*=-1,v[L][2]*=-1;return b[0]=.5*Math.sqrt(Math.max(1+v[0][0]-v[1][1]-v[2][2],0)),b[1]=.5*Math.sqrt(Math.max(1-v[0][0]+v[1][1]-v[2][2],0)),b[2]=.5*Math.sqrt(Math.max(1-v[0][0]-v[1][1]+v[2][2],0)),b[3]=.5*Math.sqrt(Math.max(1+v[0][0]+v[1][1]+v[2][2],0)),v[2][1]>v[1][2]&&(b[0]=-b[0]),v[0][2]>v[2][0]&&(b[1]=-b[1]),v[1][0]>v[0][1]&&(b[2]=-b[2]),!0}},{"./normalize":32,"gl-mat4/clone":131,"gl-mat4/create":132,"gl-mat4/determinant":133,"gl-mat4/invert":137,"gl-mat4/transpose":147,"gl-vec3/cross":23,"gl-vec3/dot":24,"gl-vec3/length":25,"gl-vec3/normalize":27}],32:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,i=0;16>i;i++)t[i]=e[i]*n;return!0}},{}],33:[function(t,e,r){var n={identity:t("gl-mat4/identity"),translate:t("gl-mat4/translate"),multiply:t("gl-mat4/multiply"),create:t("gl-mat4/create"),scale:t("gl-mat4/scale"),fromRotationTranslation:t("gl-mat4/fromRotationTranslation")},i=(n.create(),n.create());e.exports=function(t,e,r,a,o,s){return n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(i),0!==a[2]&&(i[9]=a[2],n.multiply(t,t,i)),0!==a[1]&&(i[9]=0,i[8]=a[1],n.multiply(t,t,i)),0!==a[0]&&(i[8]=0,i[4]=a[0],n.multiply(t,t,i)),n.scale(t,t,r),t}},{"gl-mat4/create":132,"gl-mat4/fromRotationTranslation":135,"gl-mat4/identity":136,"gl-mat4/multiply":139,"gl-mat4/scale":145,"gl-mat4/translate":146}],34:[function(t,e,r){e.exports=t("gl-quat/slerp")},{"gl-quat/slerp":35}],35:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],d=r[0],p=r[1],g=r[2],v=r[3];return a=c*d+u*p+f*g+h*v,0>a&&(a=-a,d=-d,p=-p,g=-g,v=-v),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*c+l*d,t[1]=s*u+l*p,t[2]=s*f+l*g,t[3]=s*h+l*v,t}e.exports=n},{}],36:[function(t,e,r){"use strict";function n(t,e,r,n,i,a,o,s,l,c){var u=e+a+c;if(f>0){var f=Math.sqrt(u+1);t[0]=.5*(o-l)/f,t[1]=.5*(s-n)/f,t[2]=.5*(r-a)/f,t[3]=.5*f}else{var h=Math.max(e,a,c),f=Math.sqrt(2*h-u+1);e>=h?(t[0]=.5*f,t[1]=.5*(i+r)/f,t[2]=.5*(s+n)/f,t[3]=.5*(o-l)/f):a>=h?(t[0]=.5*(r+i)/f,t[1]=.5*f,t[2]=.5*(l+o)/f,t[3]=.5*(s-n)/f):(t[0]=.5*(n+s)/f,t[1]=.5*(o+l)/f,t[2]=.5*f,t[3]=.5*(r-i)/f)}return t}e.exports=n},{}],37:[function(t,e,r){"use strict";function n(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function i(t,e,r,n){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function a(t,e){var r=e[0],n=e[1],a=e[2],o=e[3],s=i(r,n,a,o);s>1e-6?(t[0]=r/s,t[1]=n/s,t[2]=a/s,t[3]=o/s):(t[0]=t[1]=t[2]=0,t[3]=1)}function o(t,e,r){this.radius=l([r]),this.center=l(e),this.rotation=l(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}function s(t){t=t||{};var e=t.center||[0,0,0],r=t.rotation||[0,0,0,1],n=t.radius||1;e=[].slice.call(e,0,3),r=[].slice.call(r,0,4),a(r,r);var i=new o(r,e,Math.log(n));return i.setDistanceLimits(t.zoomMin,t.zoomMax),("eye"in t||"up"in t)&&i.lookAt(0,t.eye,t.center,t.up),i}e.exports=s;var l=t("filtered-vector"),c=t("gl-mat4/lookAt"),u=t("gl-mat4/fromQuat"),f=t("gl-mat4/invert"),h=t("./lib/quatFromFrame"),d=o.prototype;d.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},d.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;a(e,e);var r=this.computedMatrix;u(r,e);var n=this.computedCenter,i=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);i[0]=n[0]+s*r[2],i[1]=n[1]+s*r[6],i[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;3>l;++l){for(var c=0,f=0;3>f;++f)c+=r[l+4*f]*i[f];r[12+l]=-c}},d.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;16>n;++n)e[n]=r[n];return e}return r},d.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},d.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},d.pan=function(t,e,r,i){e=e||0,r=r||0,i=i||0,this.recalcMatrix(t);var a=this.computedMatrix,o=a[1],s=a[5],l=a[9],c=n(o,s,l);o/=c,s/=c,l/=c;var u=a[0],f=a[4],h=a[8],d=u*o+f*s+h*l;u-=o*d,f-=s*d,h-=l*d;var p=n(u,f,h);u/=p,f/=p,h/=p;var g=a[2],v=a[6],m=a[10],y=g*o+v*s+m*l,b=g*u+v*f+m*h;g-=y*o+b*u,v-=y*s+b*f,m-=y*l+b*h;var x=n(g,v,m);g/=x,v/=x,m/=x;var _=u*e+o*r,w=f*e+s*r,k=h*e+l*r;this.center.move(t,_,w,k);var A=Math.exp(this.computedRadius[0]);A=Math.max(1e-4,A+i),this.radius.set(t,Math.log(A))},d.rotate=function(t,e,r,a){this.recalcMatrix(t),e=e||0,r=r||0;var o=this.computedMatrix,s=o[0],l=o[4],c=o[8],u=o[1],f=o[5],h=o[9],d=o[2],p=o[6],g=o[10],v=e*s+r*u,m=e*l+r*f,y=e*c+r*h,b=-(p*y-g*m),x=-(g*v-d*y),_=-(d*m-p*v),w=Math.sqrt(Math.max(0,1-Math.pow(b,2)-Math.pow(x,2)-Math.pow(_,2))),k=i(b,x,_,w);k>1e-6?(b/=k,x/=k,_/=k,w/=k):(b=x=_=0,w=1);var A=this.computedRotation,M=A[0],T=A[1],E=A[2],L=A[3],S=M*w+L*b+T*_-E*x,C=T*w+L*x+E*b-M*_,z=E*w+L*_+M*x-T*b,P=L*w-M*b-T*x-E*_;if(a){b=d,x=p,_=g;var R=Math.sin(a)/n(b,x,_);b*=R,x*=R,_*=R,w=Math.cos(e),S=S*w+P*b+C*_-z*x,C=C*w+P*x+z*b-S*_,z=z*w+P*_+S*x-C*b,P=P*w-S*b-C*x-z*_}var O=i(S,C,z,P);O>1e-6?(S/=O,C/=O,z/=O,P/=O):(S=C=z=0,P=1),this.rotation.set(t,S,C,z,P)},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var i=this.computedMatrix;c(i,e,r,n);var o=this.computedRotation;h(o,i[0],i[1],i[2],i[4],i[5],i[6],i[8],i[9],i[10]),a(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var s=0,l=0;3>l;++l)s+=Math.pow(r[l]-e[l],2);this.radius.set(t,.5*Math.log(Math.max(s,1e-6))),this.center.set(t,r[0],r[1],r[2])},d.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},d.setMatrix=function(t,e){var r=this.computedRotation;h(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),a(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;f(n,e);var i=n[15];if(Math.abs(i)>1e-6){var o=n[12]/i,s=n[13]/i,l=n[14]/i;this.recalcMatrix(t);var c=Math.exp(this.computedRadius[0]);this.center.set(t,o-n[2]*c,s-n[6]*c,l-n[10]*c),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},d.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},d.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-(1/0),e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},d.getDistanceLimits=function(t){var e=this.radius.bounds; +return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},d.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},d.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{"./lib/quatFromFrame":36,"filtered-vector":20,"gl-mat4/fromQuat":134,"gl-mat4/invert":137,"gl-mat4/lookAt":138}],38:[function(t,e,r){"use strict";function n(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function i(t){return Math.min(1,Math.max(-1,t))}function a(t){var e=Math.abs(t[0]),r=Math.abs(t[1]),n=Math.abs(t[2]),i=[0,0,0];e>Math.max(r,n)?i[2]=1:r>Math.max(e,n)?i[0]=1:i[1]=1;for(var a=0,o=0,s=0;3>s;++s)a+=t[s]*t[s],o+=i[s]*t[s];for(var s=0;3>s;++s)i[s]-=o/a*t[s];return h(i,i),i}function o(t,e,r,n,i,a,o,s){this.center=l(r),this.up=l(n),this.right=l(i),this.radius=l([a]),this.angle=l([o,s]),this.angle.bounds=[[-(1/0),-Math.PI/2],[1/0,Math.PI/2]],this.setDistanceLimits(t,e),this.computedCenter=this.center.curve(0),this.computedUp=this.up.curve(0),this.computedRight=this.right.curve(0),this.computedRadius=this.radius.curve(0),this.computedAngle=this.angle.curve(0),this.computedToward=[0,0,0],this.computedEye=[0,0,0],this.computedMatrix=new Array(16);for(var c=0;16>c;++c)this.computedMatrix[c]=.5;this.recalcMatrix(0)}function s(t){t=t||{};var e=t.center||[0,0,0],r=t.up||[0,1,0],i=t.right||a(r),s=t.radius||1,l=t.theta||0,c=t.phi||0;if(e=[].slice.call(e,0,3),r=[].slice.call(r,0,3),h(r,r),i=[].slice.call(i,0,3),h(i,i),"eye"in t){var u=t.eye,p=[u[0]-e[0],u[1]-e[1],u[2]-e[2]];f(i,p,r),n(i[0],i[1],i[2])<1e-6?i=a(r):h(i,i),s=n(p[0],p[1],p[2]);var 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d=Math.exp(this.computedRadius[0]),p=this.computedAngle[0],g=this.computedAngle[1],v=Math.cos(p),m=Math.sin(p),y=Math.cos(g),b=Math.sin(g),x=this.computedCenter,_=v*y,w=m*y,k=b,A=-v*b,M=-m*b,T=y,E=this.computedEye,L=this.computedMatrix,o=0;3>o;++o){var S=_*r[o]+w*u[o]+k*e[o];L[4*o+1]=A*r[o]+M*u[o]+T*e[o],L[4*o+2]=S,L[4*o+3]=0}var C=L[1],z=L[5],P=L[9],R=L[2],O=L[6],I=L[10],N=z*I-P*O,j=P*R-C*I,F=C*O-z*R,D=n(N,j,F);N/=D,j/=D,F/=D,L[0]=N,L[4]=j,L[8]=F;for(var o=0;3>o;++o)E[o]=x[o]+L[2+4*o]*d;for(var o=0;3>o;++o){for(var l=0,B=0;3>B;++B)l+=L[o+4*B]*E[B];L[12+o]=-l}L[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;16>n;++n)e[n]=r[n];return e}return r};var g=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;g[0]=i[2],g[1]=i[6],g[2]=i[10];for(var a=this.computedUp,o=this.computedRight,s=this.computedToward,l=0;3>l;++l)i[4*l]=a[l],i[4*l+1]=o[l],i[4*l+2]=s[l];u(i,i,n,g);for(var l=0;3>l;++l)a[l]=i[4*l],o[l]=i[4*l+1];this.up.set(t,a[0],a[1],a[2]),this.right.set(t,o[0],o[1],o[2])}},p.pan=function(t,e,r,i){e=e||0,r=r||0,i=i||0,this.recalcMatrix(t);var a=this.computedMatrix,o=(Math.exp(this.computedRadius[0]),a[1]),s=a[5],l=a[9],c=n(o,s,l);o/=c,s/=c,l/=c;var u=a[0],f=a[4],h=a[8],d=u*o+f*s+h*l;u-=o*d,f-=s*d,h-=l*d;var p=n(u,f,h);u/=p,f/=p,h/=p;var g=u*e+o*r,v=f*e+s*r,m=h*e+l*r;this.center.move(t,g,v,m);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+i),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,a){var o=1;"number"==typeof r&&(o=0|r),(0>o||o>3)&&(o=1);var s=(o+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var l=e[o],u=e[o+4],f=e[o+8];if(a){var h=Math.abs(l),d=Math.abs(u),p=Math.abs(f),g=Math.max(h,d,p);h===g?(l=0>l?-1:1,u=f=0):p===g?(f=0>f?-1:1,l=u=0):(u=0>u?-1:1,l=f=0)}else{var v=n(l,u,f);l/=v,u/=v,f/=v}var m=e[s],y=e[s+4],b=e[s+8],x=m*l+y*u+b*f;m-=l*x,y-=u*x,b-=f*x;var _=n(m,y,b);m/=_,y/=_,b/=_;var w=u*b-f*y,k=f*m-l*b,A=l*y-u*m,M=n(w,k,A);w/=M,k/=M,A/=M,this.center.jump(t,H,G,Y),this.radius.idle(t),this.up.jump(t,l,u,f),this.right.jump(t,m,y,b);var T,E;if(2===o){var L=e[1],S=e[5],C=e[9],z=L*m+S*y+C*b,P=L*w+S*k+C*A;T=0>N?-Math.PI/2:Math.PI/2,E=Math.atan2(P,z)}else{var R=e[2],O=e[6],I=e[10],N=R*l+O*u+I*f,j=R*m+O*y+I*b,F=R*w+O*k+I*A;T=Math.asin(i(N)),E=Math.atan2(F,j)}this.angle.jump(t,E,T),this.recalcMatrix(t);var D=e[2],B=e[6],U=e[10],V=this.computedMatrix;c(V,e);var q=V[15],H=V[12]/q,G=V[13]/q,Y=V[14]/q,X=Math.exp(this.computedRadius[0]);this.center.jump(t,H-D*X,G-B*X,Y-U*X)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,a){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter,a=a||this.computedUp;var o=a[0],s=a[1],l=a[2],c=n(o,s,l);if(!(1e-6>c)){o/=c,s/=c,l/=c;var u=e[0]-r[0],f=e[1]-r[1],h=e[2]-r[2],d=n(u,f,h);if(!(1e-6>d)){u/=d,f/=d,h/=d;var p=this.computedRight,g=p[0],v=p[1],m=p[2],y=o*g+s*v+l*m;g-=y*o,v-=y*s,m-=y*l;var b=n(g,v,m);if(!(.01>b&&(g=s*h-l*f,v=l*u-o*h,m=o*f-s*u,b=n(g,v,m),1e-6>b))){g/=b,v/=b,m/=b,this.up.set(t,o,s,l),this.right.set(t,g,v,m),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(d));var x=s*m-l*v,_=l*g-o*m,w=o*v-s*g,k=n(x,_,w);x/=k,_/=k,w/=k;var A=o*u+s*f+l*h,M=g*u+v*f+m*h,T=x*u+_*f+w*h,E=Math.asin(i(A)),L=Math.atan2(T,M),S=this.angle._state,C=S[S.length-1],z=S[S.length-2];C%=2*Math.PI;var P=Math.abs(C+2*Math.PI-L),R=Math.abs(C-L),O=Math.abs(C-2*Math.PI-L);R>P&&(C+=2*Math.PI),R>O&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,z),this.angle.set(t,L,E)}}}}},{"filtered-vector":20,"gl-mat4/invert":137,"gl-mat4/rotate":141,"gl-vec3/cross":23,"gl-vec3/dot":24,"gl-vec3/normalize":27}],39:[function(t,e,r){"use strict";function n(t,e){this._controllerNames=Object.keys(t),this._controllerList=this._controllerNames.map(function(e){return 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l=n-s,c=this.words[l],u=t.words[s],f=c*u,h=67108863&f;i+=f/67108864|0,h+=a,a=67108863&h,i+=h>>>26}this.words[n]=a,this.words[n+1]+=i,i=0}for(var i=0,l=1;l>>26}return this.strip()},i.prototype.imuln=function(t){r("number"==typeof t);for(var e=0,n=0;n>=26,e+=i/67108864|0,e+=a>>>26,this.words[n]=67108863&a}return 0!==e&&(this.words[n]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.mul(this)},i.prototype.ishln=function(t){r("number"==typeof t&&t>=0);var e=t%26,n=(t-e)/26,i=67108863>>>26-e<<26-e;if(0!==e){for(var a=0,o=0;o>>26-e}a&&(this.words[o]=a,this.length++)}if(0!==n){for(var o=this.length-1;o>=0;o--)this.words[o+n]=this.words[o];for(var o=0;n>o;o++)this.words[o]=0;this.length+=n}return this.strip()},i.prototype.ishrn=function(t,e,n){r("number"==typeof t&&t>=0);var i;i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<c;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o){this.length-=o;for(var c=0;c=0&&(0!==u||c>=i);c--){var f=this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip(),this},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.testn=function(t){r("number"==typeof t&&t>=0);var e=t%26,n=(t-e)/26,i=1<=0);var e=t%26,n=(t-e)/26;if(r(!this.sign,"imaskn works only with positive numbers"),0!==e&&n++,this.length=Math.min(n,this.length),0!==e){var i=67108863^67108863>>>e<t?this.isubn(-t):this.sign?1===this.length&&this.words[0]=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(t){if(r("number"==typeof t),0>t)return this.iaddn(-t);if(this.sign)return this.sign=!1,this.iaddn(t),this.sign=!0,this;this.words[0]-=t;for(var e=0;e>26)-(c/67108864|0),this.words[i+n]=67108863&l}for(;i>26,this.words[i+n]=67108863&l}if(0===s)return this.strip();r(-1===s),s=0;for(var i=0;i>26,this.words[i]=67108863&l}return this.sign=!0,this.strip()},i.prototype._wordDiv=function(t,e){var r=this.length-t.length,n=this.clone(),a=t,o=a.words[a.length-1],s=this._countBits(o);r=26-s,0!==r&&(a=a.shln(r),n.ishln(r),o=a.words[a.length-1]);var l,c=n.length-a.length;if("mod"!==e){l=new i(null),l.length=c+1,l.words=new Array(l.length);for(var u=0;u=0;h--){var d=67108864*n.words[a.length+h]+n.words[a.length+h-1];for(d=Math.min(d/o|0,67108863),n._ishlnsubmul(a,d,h);n.sign;)d--,n.sign=!1,n._ishlnsubmul(a,1,h),0!==n.cmpn(0)&&(n.sign=!n.sign);l&&(l.words[h]=d)}return l&&l.strip(),n.strip(),"div"!==e&&0!==r&&n.ishrn(r),{div:l?l:null,mod:n}},i.prototype.divmod=function(t,e){if(r(0!==t.cmpn(0)),this.sign&&!t.sign){var n,a,o=this.neg().divmod(t,e);return"mod"!==e&&(n=o.div.neg()),"div"!==e&&(a=0===o.mod.cmpn(0)?o.mod:t.sub(o.mod)),{div:n,mod:a}}if(!this.sign&&t.sign){var n,o=this.divmod(t.neg(),e);return"mod"!==e&&(n=o.div.neg()),{div:n,mod:o.mod}}return this.sign&&t.sign?this.neg().divmod(t.neg(),e):t.length>this.length||this.cmp(t)<0?{div:new i(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e)},i.prototype.div=function(t){return this.divmod(t,"div").div},i.prototype.mod=function(t){return this.divmod(t,"mod").mod},i.prototype.divRound=function(t){var e=this.divmod(t);if(0===e.mod.cmpn(0))return e.div;var r=e.div.sign?e.mod.isub(t):e.mod,n=t.shrn(1),i=t.andln(1),a=r.cmp(n);return 0>a||1===i&&0===a?e.div:e.div.sign?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){r(67108863>=t);for(var e=(1<<26)%t,n=0,i=this.length-1;i>=0;i--)n=(e*n+this.words[i])%t;return n},i.prototype.idivn=function(t){r(67108863>=t);for(var e=0,n=this.length-1;n>=0;n--){var i=this.words[n]+67108864*e;this.words[n]=i/t|0,e=i%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.prototype.egcd=function(t){r(!t.sign),r(0!==t.cmpn(0));var e=this,n=t.clone();e=e.sign?e.mod(t):e.clone();for(var a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&n.isEven();)e.ishrn(1),n.ishrn(1),++c;for(var u=n.clone(),f=e.clone();0!==e.cmpn(0);){for(;e.isEven();)e.ishrn(1),a.isEven()&&o.isEven()?(a.ishrn(1),o.ishrn(1)):(a.iadd(u).ishrn(1),o.isub(f).ishrn(1));for(;n.isEven();)n.ishrn(1),s.isEven()&&l.isEven()?(s.ishrn(1),l.ishrn(1)):(s.iadd(u).ishrn(1),l.isub(f).ishrn(1));e.cmp(n)>=0?(e.isub(n),a.isub(s),o.isub(l)):(n.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:n.ishln(c)}},i.prototype._invmp=function(t){r(!t.sign),r(0!==t.cmpn(0));var e=this,n=t.clone();e=e.sign?e.mod(t):e.clone();for(var a=new i(1),o=new i(0),s=n.clone();e.cmpn(1)>0&&n.cmpn(1)>0;){for(;e.isEven();)e.ishrn(1),a.isEven()?a.ishrn(1):a.iadd(s).ishrn(1);for(;n.isEven();)n.ishrn(1),o.isEven()?o.ishrn(1):o.iadd(s).ishrn(1);e.cmp(n)>=0?(e.isub(n),a.isub(o)):(n.isub(e),o.isub(a))}return 0===e.cmpn(1)?a:o},i.prototype.gcd=function(t){if(0===this.cmpn(0))return t.clone();if(0===t.cmpn(0))return this.clone();var e=this.clone(),r=t.clone();e.sign=!1,r.sign=!1;for(var n=0;e.isEven()&&r.isEven();n++)e.ishrn(1),r.ishrn(1);for(;;){for(;e.isEven();)e.ishrn(1);for(;r.isEven();)r.ishrn(1);var i=e.cmp(r);if(0>i){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.ishln(n)},i.prototype.invm=function(t){return this.egcd(t).a.mod(t)},i.prototype.isEven=function(){return 0===(1&this.words[0])},i.prototype.isOdd=function(){return 1===(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){r("number"==typeof t);var e=t%26,n=(t-e)/26,i=1<a;a++)this.words[a]=0;return this.words[n]|=i,this.length=n+1,this}for(var o=i,a=n;0!==o&&a>>26,s&=67108863,this.words[a]=s}return 0!==o&&(this.words[a]=o,this.length++),this},i.prototype.cmpn=function(t){var e=0>t;if(e&&(t=-t),this.sign&&!e)return-1;if(!this.sign&&e)return 1;t&=67108863,this.strip();var r;if(this.length>1)r=1;else{var n=this.words[0];r=n===t?0:t>n?-1:1}return this.sign&&(r=-r),r},i.prototype.cmp=function(t){if(this.sign&&!t.sign)return-1;if(!this.sign&&t.sign)return 1;var e=this.ucmp(t);return this.sign?-e:e},i.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length=0;r--){var n=this.words[r],i=t.words[r];if(n!==i){i>n?e=-1:n>i&&(e=1);break}}return e},i.red=function(t){return new h(t)},i.prototype.toRed=function(t){return r(!this.red,"Already a number in reduction context"),r(!this.sign,"red works only with positives"),t.convertTo(this)._forceRed(t)},i.prototype.fromRed=function(){return r(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},i.prototype._forceRed=function(t){return this.red=t,this},i.prototype.forceRed=function(t){return r(!this.red,"Already a number in reduction context"),this._forceRed(t)},i.prototype.redAdd=function(t){return r(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},i.prototype.redIAdd=function(t){return r(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},i.prototype.redSub=function(t){return r(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},i.prototype.redISub=function(t){return r(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},i.prototype.redShl=function(t){return r(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},i.prototype.redMul=function(t){return r(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},i.prototype.redIMul=function(t){return r(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},i.prototype.redSqr=function(){return r(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},i.prototype.redISqr=function(){return r(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},i.prototype.redSqrt=function(){return r(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},i.prototype.redInvm=function(){return r(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},i.prototype.redNeg=function(){return r(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},i.prototype.redPow=function(t){return r(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var m={k256:null,p224:null,p192:null,p25519:null};s.prototype._tmp=function(){var t=new i(null);return t.words=new Array(Math.ceil(this.n/13)),t},s.prototype.ireduce=function(t){var e,r=t;do this.split(r,this.tmp),r=this.imulK(r),r=r.iadd(this.tmp),e=r.bitLength();while(e>this.n);var n=e0?r.isub(this.p):r.strip(),r},s.prototype.split=function(t,e){t.ishrn(this.n,0,e)},s.prototype.imulK=function(t){return t.imul(this.k)},n(l,s),l.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;n>i;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];e.words[e.length++]=a&r;for(var i=10;i>>22,a=o}t.words[i-10]=a>>>22,t.length-=9},l.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e,r=0,n=0;n>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},i._prime=function y(t){if(m[t])return m[t];var y;if("k256"===t)y=new l;else if("p224"===t)y=new c;else if("p192"===t)y=new u;else{if("p25519"!==t)throw new Error("Unknown prime "+t);y=new f}return m[t]=y,y},h.prototype._verify1=function(t){r(!t.sign,"red works only with positives"),r(t.red,"red works only with red numbers")},h.prototype._verify2=function(t,e){r(!t.sign&&!e.sign,"red works only with positives"),r(t.red&&t.red===e.red,"red works only with red numbers")},h.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.mod(this.m)._forceRed(this)},h.prototype.neg=function(t){var e=t.clone();return e.sign=!e.sign,e.iadd(this.m)._forceRed(this)},h.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},h.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},h.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},h.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},h.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.shln(e))},h.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},h.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},h.prototype.isqr=function(t){return this.imul(t,t)},h.prototype.sqr=function(t){return this.mul(t,t)},h.prototype.sqrt=function(t){if(0===t.cmpn(0))return t.clone();var e=this.m.andln(3);if(r(e%2===1),3===e){var n=this.m.add(new i(1)).ishrn(2),a=this.pow(t,n);return a}for(var o=this.m.subn(1),s=0;0!==o.cmpn(0)&&0===o.andln(1);)s++,o.ishrn(1);r(0!==o.cmpn(0));var l=new i(1).toRed(this),c=l.redNeg(),u=this.m.subn(1).ishrn(1),f=this.m.bitLength();for(f=new i(2*f*f).toRed(this);0!==this.pow(f,u).cmp(c);)f.redIAdd(c);for(var h=this.pow(f,o),a=this.pow(t,o.addn(1).ishrn(1)),d=this.pow(t,o),p=s;0!==d.cmp(l);){for(var g=d,v=0;0!==g.cmp(l);v++)g=g.redSqr();r(p>v);var m=this.pow(h,new i(1).ishln(p-v-1));a=a.redMul(m),h=m.redSqr(),d=d.redMul(h),p=v}return a},h.prototype.invm=function(t){var e=t._invmp(this.m);return e.sign?(e.sign=!1,this.imod(e).redNeg()):this.imod(e)},h.prototype.pow=function(t,e){var r=[];if(0===e.cmpn(0))return new i(1);for(var n=e.clone();0!==n.cmpn(0);)r.push(n.andln(1)),n.ishrn(1);for(var a=t,o=0;o=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},d.prototype.mul=function(t,e){if(0===t.cmpn(0)||0===e.cmpn(0))return new i(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),a=r.isub(n).ishrn(this.shift),o=a;return a.cmp(this.m)>=0?o=a.isub(this.m):a.cmpn(0)<0&&(o=a.iadd(this.m)),o._forceRed(this)},d.prototype.invm=function(t){var e=this.imod(t._invmp(this.m).mul(this.r2));return e._forceRed(this)}}("undefined"==typeof e||e,this)},{}],80:[function(t,e,r){"use strict";function n(t){return i(t[0])*i(t[1])}var i=t("./lib/bn-sign");e.exports=n},{"./lib/bn-sign":71}],81:[function(t,e,r){"use strict";function n(t,e){return i(t[0].mul(e[1]).sub(t[1].mul(e[0])),t[1].mul(e[1]))}var 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n(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1}function i(t,e){for(var r=0;3>r;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}function a(t,e,r,n){for(var i=h[n],a=0;a=1},f.isTransparent=function(){return this.opacity<1},f.drawTransparent=f.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||u,i=r.projection=t.projection||u;r.model=t.model||u,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],o=n[13],s=n[14],l=n[15],c=this.pixelRatio*(i[3]*a+i[7]*o+i[11]*s+i[15]*l)/e.drawingBufferHeight;this.vao.bind();for(var f=0;3>f;++f)e.lineWidth(this.lineWidth[f]),r.capSize=this.capSize[f]*c,e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var h=function(){for(var t=new Array(3),e=0;3>e;++e){for(var r=[],n=1;2>=n;++n)for(var i=-1;1>=i;i+=2){var a=(n+e)%3,o=[0,0,0];o[a]=i,r.push(o)}t[e]=r}return t}();f.update=function(t){t=t||{},"lineWidth"in t&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),"opacity"in t&&(this.opacity=t.opacity);var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var o=[],s=r.length,l=0;this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.lineCount=[0,0,0];for(var c=0;3>c;++c){this.lineOffset[c]=l;t:for(var u=0;s>u;++u){for(var f=r[u],h=0;3>h;++h)if(isNaN(f[h])||!isFinite(f[h]))continue t;var d=n[u],p=e[c];if(Array.isArray(p[0])&&(p=e[u]),3===p.length&&(p=[p[0],p[1],p[2],1]),!isNaN(d[0][c])&&!isNaN(d[1][c])){if(d[0][c]<0){var g=f.slice();g[c]+=d[0][c],o.push(f[0],f[1],f[2],p[0],p[1],p[2],p[3],0,0,0,g[0],g[1],g[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,g),l+=2+a(o,g,p,c)}if(d[1][c]>0){var g=f.slice();g[c]+=d[1][c],o.push(f[0],f[1],f[2],p[0],p[1],p[2],p[3],0,0,0,g[0],g[1],g[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,g),l+=2+a(o,g,p,c)}}}this.lineCount[c]=l-this.lineOffset[c]}this.buffer.update(o)}},f.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{"./shaders/index":122,"gl-buffer":118,"gl-vao":226}],122:[function(t,e,r){"use strict";var n=t("gl-shader"),i="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n vec4 worldPosition = model * vec4(position, 1.0);\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n gl_Position = projection * view * worldPosition;\n fragColor = color;\n fragPosition = position;\n}",a="precision mediump float;\n#define GLSLIFY 1\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n if(any(lessThan(fragPosition, clipBounds[0])) || any(greaterThan(fragPosition, clipBounds[1]))) {\n discard;\n }\n gl_FragColor = opacity * fragColor;\n}";e.exports=function(t){return n(t,i,a,null,[{name:"position",type:"vec3"},{name:"offset",type:"vec3"},{name:"color",type:"vec4"}])}},{"gl-shader":197}],123:[function(t,e,r){"use strict";function n(t){var e=t.getParameter(t.FRAMEBUFFER_BINDING),r=t.getParameter(t.RENDERBUFFER_BINDING),n=t.getParameter(t.TEXTURE_BINDING_2D);return[e,r,n]}function i(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function a(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);y=new Array(r+1);for(var n=0;r>=n;++n){for(var i=new Array(r),a=0;n>a;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(var a=n;r>a;++a)i[a]=t.NONE;y[n]=i}}function o(t){switch(t){case p:throw new Error("gl-fbo: Framebuffer unsupported");case g:throw new Error("gl-fbo: Framebuffer incomplete attachment");case v:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case m:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function s(t,e,r,n,i,a){if(!n)return null;var o=d(t,e,r,i,n);return o.magFilter=t.NEAREST,o.minFilter=t.NEAREST,o.mipSamples=1,o.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,a,t.TEXTURE_2D,o.handle,0),o}function l(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function c(t){var e=n(t.gl),r=t.gl,a=t.handle=r.createFramebuffer(),c=t._shape[0],u=t._shape[1],f=t.color.length,h=t._ext,d=t._useStencil,p=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,a);for(var v=0;f>v;++v)t.color[v]=s(r,c,u,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===f?(t._color_rb=l(r,c,u,r.RGBA4,r.COLOR_ATTACHMENT0),h&&h.drawBuffersWEBGL(y[0])):f>1&&h.drawBuffersWEBGL(y[f]);var m=r.getExtension("WEBGL_depth_texture");m?d?t.depth=s(r,c,u,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p&&(t.depth=s(r,c,u,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):p&&d?t._depth_rb=l(r,c,u,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p?t._depth_rb=l(r,c,u,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=l(r,c,u,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var b=r.checkFramebufferStatus(r.FRAMEBUFFER);if(b!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(var v=0;vl;++l)this.color[l]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var u=this,f=[0|e,0|r];Object.defineProperties(f,{0:{get:function(){return u._shape[0]},set:function(t){return u.width=t}},1:{get:function(){return u._shape[1]},set:function(t){return u.height=t}}}),this._shapeVector=f,c(this)}function f(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var a=t.gl,s=a.getParameter(a.MAX_RENDERBUFFER_SIZE);if(0>e||e>s||0>r||r>s)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var l=n(a),c=0;ce||e>o||0>r||r>o)throw new Error("gl-fbo: Parameters are too large for FBO");n=n||{};var s=1;if("color"in n){if(s=Math.max(0|n.color,0),0>s)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(s>1){if(!i)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(s>t.getParameter(i.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+s+" draw buffers")}}var l=t.UNSIGNED_BYTE,c=t.getExtension("OES_texture_float");if(n.float&&s>0){if(!c)throw new Error("gl-fbo: Context does not support floating point textures");l=t.FLOAT}else n.preferFloat&&s>0&&c&&(l=t.FLOAT);var f=!0;"depth"in n&&(f=!!n.depth);var h=!1;return"stencil"in n&&(h=!!n.stencil),new u(t,e,r,l,s,f,h,i)}var d=t("gl-texture2d");e.exports=h;var p,g,v,m,y=null,b=u.prototype;Object.defineProperties(b,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return f(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return t=0|t,f(this,t,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t=0|t,f(this,this._shape[0],t),t},enumerable:!1}}),b.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},b.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e2&&!this.usingDashes){var C=this.mitreShader;C.bind();var z=C.uniforms;z.matrix=t,z.color=s,z.screenShape=e,z.radius=l*p,C.attributes.p.pointer(f.FLOAT,!1,48,0),f.drawArrays(f.POINTS,0,u/3|0)}}}}(),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0],r=[0,0,0,0];return function(n){var i=this.plot,a=this.pickShader,o=this.lineBuffer,s=this.pickBuffer,l=this.width,c=this.numPoints,u=this.bounds,f=this.vertCount,h=i.gl,d=i.viewBox,p=i.dataBox,g=i.pickPixelRatio,v=u[2]-u[0],m=u[3]-u[1],y=p[2]-p[0],b=p[3]-p[1],x=d[2]-d[0],_=d[3]-d[1];if(this.pickOffset=n,!f)return n+c;t[0]=2*v/y,t[4]=2*m/b,t[6]=2*(u[0]-p[0])/y-1,t[7]=2*(u[1]-p[1])/b-1,e[0]=x,e[1]=_,r[0]=255&n,r[1]=n>>>8&255,r[2]=n>>>16&255,r[3]=n>>>24,a.bind();var w=a.uniforms;w.matrix=t,w.width=l*g,w.pickOffset=r,w.screenShape=e;var k=a.attributes;return o.bind(),k.a.pointer(h.FLOAT,!1,16,0),k.d.pointer(h.FLOAT,!1,16,8),s.bind(),k.pick0.pointer(h.UNSIGNED_BYTE,!1,8,0),k.pick1.pointer(h.UNSIGNED_BYTE,!1,8,4),h.drawArrays(h.TRIANGLES,0,f),n+c}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(n>r||r>=n+i)return null;var a=r-n,o=this.data;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},h.update=function(t){t=t||{};var e=this.plot.gl;!!t.connectGaps;this.color=(t.color||[0,0,1,1]).slice(),this.width=+(t.width||1),this.fill=(t.fill||[!1,!1,!1,!1]).slice(),this.fillColor=i(t.fillColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);for(var r=t.dashes||[1],n=0,a=0;a1,this.dashPattern=l(e,c(o,[n,1,4],[1,0,0])),this.dashPattern.minFilter=e.NEAREST,this.dashPattern.magFilter=e.NEAREST,this.dashLength=n,u.free(o);var d=t.positions;this.data=d;var p=this.bounds;p[0]=p[1]=1/0,p[2]=p[3]=-(1/0);var g=this.numPoints=d.length>>>1;if(0!==g){for(var a=0;g>a;++a){var v=d[2*a],m=d[2*a+1];isNaN(v)||isNaN(m)||(p[0]=Math.min(p[0],v),p[1]=Math.min(p[1],m),p[2]=Math.max(p[2],v),p[3]=Math.max(p[3],m))}p[0]===p[2]&&(p[2]+=1),p[3]===p[1]&&(p[3]+=1);for(var y=u.mallocFloat32(24*(g-1)),b=u.mallocUint32(12*(g-1)),x=y.length,_=b.length,s=g,w=0;s>1;){var k=--s,v=d[2*s],m=d[2*s+1],A=k-1,M=d[2*A],T=d[2*A+1];if(!(isNaN(v)||isNaN(m)||isNaN(M)||isNaN(T))){w+=1,v=(v-p[0])/(p[2]-p[0]),m=(m-p[1])/(p[3]-p[1]),M=(M-p[0])/(p[2]-p[0]),T=(T-p[1])/(p[3]-p[1]);var E=M-v,L=T-m,S=k|1<<24,C=k-1,z=k,P=k-1|1<<24;y[--x]=-L,y[--x]=-E,y[--x]=m,y[--x]=v,b[--_]=S,b[--_]=C,y[--x]=L,y[--x]=E,y[--x]=T,y[--x]=M,b[--_]=z,b[--_]=P,y[--x]=-L,y[--x]=-E,y[--x]=T,y[--x]=M,b[--_]=z,b[--_]=P,y[--x]=L,y[--x]=E,y[--x]=T,y[--x]=M,b[--_]=z,b[--_]=P,y[--x]=-L,y[--x]=-E,y[--x]=m,y[--x]=v,b[--_]=S,b[--_]=C,y[--x]=L,y[--x]=E,y[--x]=m,y[--x]=v,b[--_]=S,b[--_]=C}}this.vertCount=6*w,this.lineBuffer.update(y.subarray(x)),this.pickBuffer.update(b.subarray(_)),u.free(y),u.free(b)}},h.dispose=function(){this.plot.removeObject(this),this.lineBuffer.dispose(),this.pickBuffer.dispose(),this.lineShader.dispose(),this.mitreShader.dispose(),this.fillShader.dispose(),this.pickShader.dispose(),this.dashPattern.dispose()}},{"./lib/shaders":124,"gl-buffer":118,"gl-shader":197,"gl-texture2d":222,ndarray:253,"typedarray-pool":278}],126:[function(t,e,r){var n=t("gl-shader"),i="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvoid main() {\n vec4 projected = projection * view * model * vec4(position, 1.0);\n vec4 tangentClip = projection * view * model * vec4(nextPosition - position, 0.0);\n vec2 tangent = normalize(screenShape * tangentClip.xy);\n vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(tangent.y, -tangent.x) / screenShape;\n\n gl_Position = vec4(projected.xy + projected.w * offset, projected.zw);\n\n worldPosition = position;\n pixelArcLength = arcLength;\n fragColor = color;\n}\n",a="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float dashScale;\nuniform float opacity;\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\n discard;\n }\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n if(dashWeight < 0.5) {\n discard;\n }\n gl_FragColor = fragColor * opacity;\n}\n",o="precision mediump float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX 1.70141184e38\n#define FLOAT_MIN 1.17549435e-38\n\nlowp vec4 encode_float_1_0(highp float v) {\n highp float av = abs(v);\n\n //Handle special cases\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n }\n\n highp vec4 c = vec4(0,0,0,0);\n\n //Compute exponent and mantissa\n highp float e = floor(log2(av));\n highp float m = av * pow(2.0, -e) - 1.0;\n \n //Unpack mantissa\n c[1] = floor(128.0 * m);\n m -= c[1] / 128.0;\n c[2] = floor(32768.0 * m);\n m -= c[2] / 32768.0;\n c[3] = floor(8388608.0 * m);\n \n //Unpack exponent\n highp float ebias = e + 127.0;\n c[0] = floor(ebias / 2.0);\n ebias -= c[0] * 2.0;\n c[1] += floor(ebias) * 128.0; \n\n //Unpack sign bit\n c[0] += 128.0 * step(0.0, -v);\n\n //Scale back to range\n return c / 255.0;\n}\n\n\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\n discard;\n }\n gl_FragColor = vec4(pickId/255.0, encode_float_1_0(pixelArcLength).xyz);\n}",s=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];r.createShader=function(t){return n(t,i,a,null,s)},r.createPickShader=function(t){return n(t,i,o,null,s)}},{"gl-shader":197}],127:[function(t,e,r){"use strict";function n(t,e){for(var r=0,n=0;3>n;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function i(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;3>r;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function a(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function o(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.dirty=!0,this.pixelRatio=1}function s(t){var e=t.gl||t.scene&&t.scene.gl,r=g(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var n=v(e);n.attributes.position.location=0,n.attributes.nextPosition.location=1,n.attributes.arcLength.location=2,n.attributes.lineWidth.location=3,n.attributes.color.location=4;for(var i=l(e),a=c(e,[{buffer:i,size:3,offset:0,stride:48},{buffer:i,size:3,offset:12,stride:48},{buffer:i,size:1,offset:24,stride:48},{buffer:i,size:1,offset:28,stride:48},{buffer:i,size:4,offset:32,stride:48}]),s=d(new Array(1024),[256,1,4]),f=0;1024>f;++f)s.data[f]=255;var h=u(e,s);h.wrap=e.REPEAT;var p=new o(e,r,n,i,a,h);return p.update(t),p}e.exports=s;var l=t("gl-buffer"),c=t("gl-vao"),u=t("gl-texture2d"),f=t("glsl-read-float"),h=t("binary-search-bounds"),d=t("ndarray"),p=t("./lib/shaders"),g=p.createShader,v=p.createPickShader,m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],y=o.prototype;y.isTransparent=function(){return this.opacity<1},y.isOpaque=function(){return this.opacity>=1},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||m,view:t.view||m,projection:t.projection||m,clipBounds:i(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.drawPick=function(t){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||m,view:t.view||m,projection:t.projection||m,pickId:this.pickId,clipBounds:i(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.update=function(t){var e,r;this.dirty=!0;var i=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),"opacity"in t&&(this.opacity=+t.opacity);var a=t.position||t.positions;if(a){var o=t.color||t.colors||[0,0,0,1],s=t.lineWidth||1,l=[],c=[],u=[],f=0,p=0,g=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],v=!1;t:for(e=1;er;++r){if(isNaN(m[r])||isNaN(y[r])||!isFinite(m[r])||!isFinite(y[r])){if(!i&&l.length>0){for(var b=0;24>b;++b)l.push(l[l.length-12]);p+=2,v=!0}continue t}g[0][r]=Math.min(g[0][r],m[r],y[r]),g[1][r]=Math.max(g[1][r],m[r],y[r])} +var x,_;Array.isArray(o[0])?(x=o[e-1],_=o[e]):x=_=o,3===x.length&&(x=[x[0],x[1],x[2],1]),3===_.length&&(_=[_[0],_[1],_[2],1]);var w;w=Array.isArray(s)?s[e-1]:s;var k=f;if(f+=n(m,y),v){for(r=0;2>r;++r)l.push(m[0],m[1],m[2],y[0],y[1],y[2],k,w,x[0],x[1],x[2],x[3]);p+=2,v=!1}l.push(m[0],m[1],m[2],y[0],y[1],y[2],k,w,x[0],x[1],x[2],x[3],m[0],m[1],m[2],y[0],y[1],y[2],k,-w,x[0],x[1],x[2],x[3],y[0],y[1],y[2],m[0],m[1],m[2],f,-w,_[0],_[1],_[2],_[3],y[0],y[1],y[2],m[0],m[1],m[2],f,w,_[0],_[1],_[2],_[3]),p+=4}if(this.buffer.update(l),c.push(f),u.push(a[a.length-1].slice()),this.bounds=g,this.vertexCount=p,this.points=u,this.arcLength=c,"dashes"in t){var A=t.dashes,M=A.slice();for(M.unshift(0),e=1;ee;++e){for(r=0;4>r;++r)T.set(e,0,r,0);1&h.le(M,M[M.length-1]*e/255)?T.set(e,0,0,0):T.set(e,0,0,255)}this.texture.setPixels(T)}}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=f(t.value[0],t.value[1],t.value[2],0),r=h.le(this.arcLength,e);if(0>r)return null;if(r===this.arcLength.length-1)return new a(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],o=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),s=1-o,l=[0,0,0],c=0;3>c;++c)l[c]=s*n[c]+o*i[c];var u=Math.min(.5>o?r:r+1,this.points.length-1);return new a(e,l,u,this.points[u])}},{"./lib/shaders":126,"binary-search-bounds":128,"gl-buffer":118,"gl-texture2d":222,"gl-vao":226,"glsl-read-float":129,ndarray:253}],128:[function(t,e,r){arguments[4][21][0].apply(r,arguments)},{dup:21}],129:[function(t,e,r){function n(t,e,r,n){return i[0]=n,i[1]=r,i[2]=e,i[3]=t,a[0]}e.exports=n;var i=new Uint8Array(4),a=new Float32Array(i.buffer)},{}],130:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=u*o-s*c,h=-u*a+s*l,d=c*a-o*l,p=r*f+n*h+i*d;return p?(p=1/p,t[0]=f*p,t[1]=(-u*n+i*c)*p,t[2]=(s*n-i*o)*p,t[3]=h*p,t[4]=(u*r-i*l)*p,t[5]=(-s*r+i*a)*p,t[6]=d*p,t[7]=(-c*r+n*l)*p,t[8]=(o*r-n*a)*p,t):null}e.exports=n},{}],131:[function(t,e,r){function n(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}e.exports=n},{}],132:[function(t,e,r){function n(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],133:[function(t,e,r){function n(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],f=t[10],h=t[11],d=t[12],p=t[13],g=t[14],v=t[15],m=e*o-r*a,y=e*s-n*a,b=e*l-i*a,x=r*s-n*o,_=r*l-i*o,w=n*l-i*s,k=c*p-u*d,A=c*g-f*d,M=c*v-h*d,T=u*g-f*p,E=u*v-h*p,L=f*v-h*g;return m*L-y*E+b*T+x*M-_*A+w*k}e.exports=n},{}],134:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,f=n*s,h=i*o,d=i*s,p=i*l,g=a*o,v=a*s,m=a*l;return t[0]=1-f-p,t[1]=u+m,t[2]=h-v,t[3]=0,t[4]=u-m,t[5]=1-c-p,t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-c-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],135:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,f=n*l,h=n*c,d=i*l,p=i*c,g=a*c,v=o*s,m=o*l,y=o*c;return t[0]=1-(d+g),t[1]=f+y,t[2]=h-m,t[3]=0,t[4]=f-y,t[5]=1-(u+g),t[6]=p+v,t[7]=0,t[8]=h+m,t[9]=p-v,t[10]=1-(u+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}e.exports=n},{}],136:[function(t,e,r){function n(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],137:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],d=e[11],p=e[12],g=e[13],v=e[14],m=e[15],y=r*s-n*o,b=r*l-i*o,x=r*c-a*o,_=n*l-i*s,w=n*c-a*s,k=i*c-a*l,A=u*g-f*p,M=u*v-h*p,T=u*m-d*p,E=f*v-h*g,L=f*m-d*g,S=h*m-d*v,C=y*S-b*L+x*E+_*T-w*M+k*A;return C?(C=1/C,t[0]=(s*S-l*L+c*E)*C,t[1]=(i*L-n*S-a*E)*C,t[2]=(g*k-v*w+m*_)*C,t[3]=(h*w-f*k-d*_)*C,t[4]=(l*T-o*S-c*M)*C,t[5]=(r*S-i*T+a*M)*C,t[6]=(v*x-p*k-m*b)*C,t[7]=(u*k-h*x+d*b)*C,t[8]=(o*L-s*T+c*A)*C,t[9]=(n*T-r*L-a*A)*C,t[10]=(p*w-g*x+m*y)*C,t[11]=(f*x-u*w-d*y)*C,t[12]=(s*M-o*E-l*A)*C,t[13]=(r*E-n*M+i*A)*C,t[14]=(g*b-p*_-v*y)*C,t[15]=(u*_-f*b+h*y)*C,t):null}e.exports=n},{}],138:[function(t,e,r){function n(t,e,r,n){var a,o,s,l,c,u,f,h,d,p,g=e[0],v=e[1],m=e[2],y=n[0],b=n[1],x=n[2],_=r[0],w=r[1],k=r[2];return Math.abs(g-_)<1e-6&&Math.abs(v-w)<1e-6&&Math.abs(m-k)<1e-6?i(t):(f=g-_,h=v-w,d=m-k,p=1/Math.sqrt(f*f+h*h+d*d),f*=p,h*=p,d*=p,a=b*d-x*h,o=x*f-y*d,s=y*h-b*f,p=Math.sqrt(a*a+o*o+s*s),p?(p=1/p,a*=p,o*=p,s*=p):(a=0,o=0,s=0),l=h*s-d*o,c=d*a-f*s,u=f*o-h*a,p=Math.sqrt(l*l+c*c+u*u),p?(p=1/p,l*=p,c*=p,u*=p):(l=0,c=0,u=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=d,t[11]=0,t[12]=-(a*g+o*v+s*m),t[13]=-(l*g+c*v+u*m),t[14]=-(f*g+h*v+d*m),t[15]=1,t)}var i=t("./identity");e.exports=n},{"./identity":136}],139:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],d=e[10],p=e[11],g=e[12],v=e[13],m=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*f+w*g,t[1]=b*i+x*l+_*h+w*v,t[2]=b*a+x*c+_*d+w*m,t[3]=b*o+x*u+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*f+w*g,t[5]=b*i+x*l+_*h+w*v,t[6]=b*a+x*c+_*d+w*m,t[7]=b*o+x*u+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*f+w*g,t[9]=b*i+x*l+_*h+w*v,t[10]=b*a+x*c+_*d+w*m,t[11]=b*o+x*u+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*f+w*g,t[13]=b*i+x*l+_*h+w*v,t[14]=b*a+x*c+_*d+w*m,t[15]=b*o+x*u+_*p+w*y,t}e.exports=n},{}],140:[function(t,e,r){function n(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}e.exports=n},{}],141:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,c,u,f,h,d,p,g,v,m,y,b,x,_,w,k,A,M,T,E,L=n[0],S=n[1],C=n[2],z=Math.sqrt(L*L+S*S+C*C);return Math.abs(z)<1e-6?null:(z=1/z,L*=z,S*=z,C*=z,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],d=e[6],p=e[7],g=e[8],v=e[9],m=e[10],y=e[11],b=L*L*o+a,x=S*L*o+C*i,_=C*L*o-S*i,w=L*S*o-C*i,k=S*S*o+a,A=C*S*o+L*i,M=L*C*o+S*i,T=S*C*o-L*i,E=C*C*o+a,t[0]=s*b+f*x+g*_,t[1]=l*b+h*x+v*_,t[2]=c*b+d*x+m*_,t[3]=u*b+p*x+y*_,t[4]=s*w+f*k+g*A,t[5]=l*w+h*k+v*A,t[6]=c*w+d*k+m*A,t[7]=u*w+p*k+y*A,t[8]=s*M+f*T+g*E,t[9]=l*M+h*T+v*E,t[10]=c*M+d*T+m*E,t[11]=u*M+p*T+y*E,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}e.exports=n},{}],142:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}e.exports=n},{}],143:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}e.exports=n},{}],144:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}e.exports=n},{}],145:[function(t,e,r){function n(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}e.exports=n},{}],146:[function(t,e,r){function n(t,e,r){var n,i,a,o,s,l,c,u,f,h,d,p,g=r[0],v=r[1],m=r[2];return e===t?(t[12]=e[0]*g+e[4]*v+e[8]*m+e[12],t[13]=e[1]*g+e[5]*v+e[9]*m+e[13],t[14]=e[2]*g+e[6]*v+e[10]*m+e[14],t[15]=e[3]*g+e[7]*v+e[11]*m+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=d,t[11]=p,t[12]=n*g+s*v+f*m+e[12],t[13]=i*g+l*v+h*m+e[13],t[14]=a*g+c*v+d*m+e[14],t[15]=o*g+u*v+p*m+e[15]),t}e.exports=n},{}],147:[function(t,e,r){function n(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else 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vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n}",d="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n gl_FragColor = 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v=m(e),x=m(e),_=m(e),w=m(e),A=m(e),M=y(e,[{buffer:v,type:e.FLOAT,size:3},{buffer:A,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:x,type:e.FLOAT,size:4},{buffer:_,type:e.FLOAT,size:2},{buffer:w,type:e.FLOAT,size:3}]),T=m(e),E=m(e),L=m(e),S=m(e),C=y(e,[{buffer:T,type:e.FLOAT,size:3},{buffer:S,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:E,type:e.FLOAT,size:4},{buffer:L,type:e.FLOAT,size:2}]),z=m(e),P=m(e),R=m(e),O=m(e),I=m(e),N=y(e,[{buffer:z,type:e.FLOAT,size:3},{buffer:I,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:P,type:e.FLOAT,size:4},{buffer:R,type:e.FLOAT,size:2},{buffer:O,type:e.FLOAT,size:1}]),j=m(e),F=y(e,[{buffer:j,type:e.FLOAT,size:3}]),D=new n(e,g,r,i,a,o,d,p,v,A,x,_,w,M,T,S,E,L,C,z,I,P,R,O,N,j,F);return D.update(t),D}var p=1e-6,g=1e-6,v=t("gl-shader"),m=t("gl-buffer"),y=t("gl-vao"),b=t("gl-texture2d"),x=t("normals"),_=t("gl-mat4/multiply"),w=t("gl-mat4/invert"),k=t("ndarray"),A=t("colormap"),M=t("simplicial-complex-contour"),T=t("typedarray-pool"),E=t("./lib/shaders"),L=t("./lib/closest-point"),S=E.meshShader,C=E.wireShader,z=E.pointShader,P=E.pickShader,R=E.pointPickShader,O=E.contourShader,I=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],N=n.prototype;N.isOpaque=function(){return this.opacity>=1},N.isTransparent=function(){return this.opacity<1},N.pickSlots=1,N.setPickBase=function(t){this.pickId=t},N.highlight=function(t){if(!t||!this.contourEnable)return void(this.contourCount=0);for(var e=M(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=T.mallocFloat32(6*a),s=0,l=0;a>l;++l)for(var c=r[l],u=0;2>u;++u){var f=c[0];2===c.length&&(f=c[u]);for(var h=n[f][0],d=n[f][1],p=i[f],g=1-p,v=this.positions[h],m=this.positions[d],y=0;3>y;++y)o[s++]=p*v[y]+g*m[y]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),T.free(o)},N.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=b(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(i(t.colormap)),this.texture.generateMipmap());var 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e=O.indexOf(t);0>e||(O.splice(e,1),I.pop(),F=!0,D=!0,r())}},H.dispose=function(){if(!_&&(_=!0,window.removeEventListener("resize",e),w.removeEventListener("webglcontextlost",s),H.mouseListener.enabled=!1,!H.contextLost)){z.dispose(),R.dispose();for(var t=0;ts;++s){var l=j[s].query(e,G[1]-r-1,H.pickRadius);if(l){if(l.distance>T.distance)continue;for(var c=0;i>c;++c){var u=O[c];if(I[c]===s){var f=u.pick(l);f&&(T.buttons=t,T.screen=l.coord,T.distance=l.distance,T.object=u,T.index=f.distance,T.dataPosition=f.position,T.dataCoordinate=f.dataCoordinate,T.data=f,o=!0)}}}}}a&&a!==T.object&&(a.highlight&&a.highlight(null),F=!0),T.object&&(T.object.highlight&&T.object.highlight(T.data),F=!0),o=o||T.object!==a,o&&H.onselect&&H.onselect(T),1&t&&!(1&X)&&H.onclick&&H.onclick(T),X=t}}),w.addEventListener("webglcontextlost",s);var W=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],Z=[W[0].slice(),W[1].slice()];return x(),H.redraw=function(){_||(F=!0,b())},H}e.exports=s;var l=t("3d-view-controls"),c=t("gl-axes3d"),u=t("gl-axes3d/properties"),f=t("gl-spikes3d"),h=t("gl-select-static"),d=t("gl-fbo"),p=t("a-big-triangle"),g=t("mouse-change"),v=t("gl-mat4/perspective"),m=t("./lib/shader")},{"./lib/shader":166,"3d-view-controls":167,"a-big-triangle":169,"gl-axes3d":170,"gl-axes3d/properties":180,"gl-fbo":123,"gl-mat4/perspective":140,"gl-select-static":196,"gl-spikes3d":182,"mouse-change":241}],184:[function(t,e,r){"use strict";e.exports={vertex:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec2 offset;\nattribute vec4 color;\n\nuniform mat3 viewTransform;\nuniform vec2 pixelScale;\n\nvarying vec4 fragColor;\n\nvec4 computePosition_1_0(vec2 position, vec2 offset, mat3 view, vec2 scale) {\n vec3 xposition = view * vec3(position, 1.0);\n return vec4(\n xposition.xy + scale * offset * xposition.z,\n 0,\n xposition.z);\n}\n\n\n\n\nvoid main() {\n fragColor = color;\n\n gl_Position = computePosition_1_0(\n position,\n offset,\n viewTransform,\n pixelScale);\n}\n",fragment:"precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n",pickVertex:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec2 offset;\nattribute vec4 id;\n\nuniform mat3 viewTransform;\nuniform vec2 pixelScale;\nuniform vec4 pickOffset;\n\nvarying vec4 fragColor;\n\nvec4 computePosition_1_0(vec2 position, vec2 offset, mat3 view, vec2 scale) {\n vec3 xposition = view * vec3(position, 1.0);\n return vec4(\n xposition.xy + scale * offset * xposition.z,\n 0,\n xposition.z);\n}\n\n\n\n\nvoid main() {\n vec4 fragId = id + pickOffset;\n\n fragId.y += floor(fragId.x / 256.0);\n fragId.x -= floor(fragId.x / 256.0) * 256.0;\n\n fragId.z += floor(fragId.y / 256.0);\n fragId.y -= floor(fragId.y / 256.0) * 256.0;\n\n fragId.w += floor(fragId.z / 256.0);\n fragId.z -= floor(fragId.z / 256.0) * 256.0;\n\n fragColor = fragId / 255.0;\n\n gl_Position = computePosition_1_0(\n position,\n offset,\n viewTransform,\n pixelScale);\n}\n",pickFragment:"precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n gl_FragColor = fragColor;\n}\n"}},{}],185:[function(t,e,r){"use strict";function n(t){if(t in h)return h[t];var e=u(t,{polygons:!0,font:"sans-serif",textAlign:"left",textBaseline:"alphabetic"}),r=[],n=[];e.forEach(function(t){t.forEach(function(t){for(var e=0;eo;++o)i[o]=Math.min(i[o],r[a+o]),i[2+o]=Math.max(i[2+o],r[a+o]);return h[t]={coords:r,normals:n,bounds:i}}function i(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.offsetBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.bounds=[1/0,1/0,-(1/0),-(1/0)],this.numPoints=0,this.numVertices=0,this.pickOffset=0,this.points=null}function a(t,e){var r=t.gl,n=o(r,f.vertex,f.fragment),a=o(r,f.pickVertex,f.pickFragment),l=s(r),c=s(r),u=s(r),h=s(r),d=new i(t,n,a,l,c,u,h);return d.update(e),t.addObject(d),d}e.exports=a;var o=t("gl-shader"),s=t("gl-buffer"),l=t("text-cache"),c=t("typedarray-pool"),u=t("vectorize-text"),f=t("./lib/shaders"),h={},d=i.prototype;!function(){function t(){var t=this.plot,n=this.bounds,i=t.viewBox,a=t.dataBox,o=t.pixelRatio,s=n[2]-n[0],l=n[3]-n[1],c=a[2]-a[0],u=a[3]-a[1];e[0]=2*s/c,e[4]=2*l/u,e[6]=2*(n[0]-a[0])/c-1,e[7]=2*(n[1]-a[1])/u-1;var f=i[2]-i[0],h=i[3]-i[1];r[0]=2*o/f,r[1]=2*o/h}var e=[1,0,0,0,1,0,0,0,1],r=[1,1];d.draw=function(){var n=this.plot,i=this.shader,a=this.numVertices;if(a){var o=n.gl;t.call(this),i.bind(),i.uniforms.pixelScale=r,i.uniforms.viewTransform=e,this.positionBuffer.bind(),i.attributes.position.pointer(),this.offsetBuffer.bind(),i.attributes.offset.pointer(),this.colorBuffer.bind(),i.attributes.color.pointer(o.UNSIGNED_BYTE,!0),o.drawArrays(o.TRIANGLES,0,a)}};var n=[0,0,0,0];d.drawPick=function(i){var a=this.plot,o=this.pickShader,s=this.numVertices,l=a.gl;if(this.pickOffset=i,!s)return i;for(var c=0;4>c;++c)n[c]=i>>8*c&255;return t.call(this),o.bind(),o.uniforms.pixelScale=r,o.uniforms.viewTransform=e,o.uniforms.pickOffset=n,this.positionBuffer.bind(),o.attributes.position.pointer(),this.offsetBuffer.bind(),o.attributes.offset.pointer(),this.idBuffer.bind(),o.attributes.id.pointer(l.UNSIGNED_BYTE,!1),l.drawArrays(l.TRIANGLES,0,s),i+this.numPoints}}(),d.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(n>r||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},d.update=function(t){t=t||{};var e=t.positions||[],r=t.colors||[],i=t.glyphs||[],a=t.sizes||[],o=t.borderWidths||[],s=t.borderColors||[];this.points=e;for(var u=this.bounds=[1/0,1/0,-(1/0),-(1/0)],f=0,h=0;h>1;for(var d=0;2>d;++d)u[d]=Math.min(u[d],e[2*h+d]),u[2+d]=Math.max(u[2+d],e[2*h+d])}u[0]===u[2]&&(u[2]+=1),u[3]===u[1]&&(u[3]+=1);for(var p=1/(u[2]-u[0]),g=1/(u[3]-u[1]),v=u[0],m=u[1],y=c.mallocFloat32(2*f),b=c.mallocFloat32(2*f),x=c.mallocUint8(4*f),_=c.mallocUint32(f),w=0,h=0;h=a?i(0,a-1,t,e,r,n):f(0,a-1,t,e,r,n)}function i(t,e,r,n,i,a){for(var o=t+1;e>=o;++o){for(var s=r[o],l=n[2*o],c=n[2*o+1],u=i[o],f=a[o],h=o;h>t;){var d=r[h-1],p=n[2*(h-1)];if((d-s||l-p)>=0)break;r[h]=d,n[2*h]=p,n[2*h+1]=n[2*h-1],i[h]=i[h-1],a[h]=a[h-1],h-=1}r[h]=s,n[2*h]=l,n[2*h+1]=c,i[h]=u,a[h]=f}}function a(t,e,r,n,i,a){var o=r[t],s=n[2*t],l=n[2*t+1],c=i[t],u=a[t];r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e],r[e]=o,n[2*e]=s,n[2*e+1]=l,i[e]=c,a[e]=u}function o(t,e,r,n,i,a){r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e]}function s(t,e,r,n,i,a,o){var s=n[t],l=i[2*t],c=i[2*t+1],u=a[t],f=o[t];n[t]=n[e],i[2*t]=i[2*e],i[2*t+1]=i[2*e+1],a[t]=a[e],o[t]=o[e],n[e]=n[r],i[2*e]=i[2*r],i[2*e+1]=i[2*r+1],a[e]=a[r],o[e]=o[r],n[r]=s,i[2*r]=l,i[2*r+1]=c,a[r]=u,o[r]=f}function l(t,e,r,n,i,a,o,s,l,c,u){s[t]=s[e],l[2*t]=l[2*e],l[2*t+1]=l[2*e+1],c[t]=c[e],u[t]=u[e],s[e]=r,l[2*e]=n,l[2*e+1]=i,c[e]=a,u[e]=o}function c(t,e,r,n,i){return(r[t]-r[e]||n[2*e]-n[2*t]||i[t]-i[e])<0}function u(t,e,r,n,i,a,o,s){return(e-a[t]||o[2*t]-r||i-s[t])<0}function f(t,e,r,n,d,p){var g=(e-t+1)/6|0,v=t+g,m=e-g,y=t+e>>1,b=y-g,x=y+g,_=v,w=b,k=y,A=x,M=m,T=t+1,E=e-1,L=0;c(_,w,r,n,d,p)&&(L=_,_=w,w=L),c(A,M,r,n,d,p)&&(L=A,A=M,M=L),c(_,k,r,n,d,p)&&(L=_,_=k,k=L),c(w,k,r,n,d,p)&&(L=w,w=k,k=L),c(_,A,r,n,d,p)&&(L=_,_=A,A=L),c(k,A,r,n,d,p)&&(L=k,k=A,A=L),c(w,M,r,n,d,p)&&(L=w,w=M,M=L),c(w,k,r,n,d,p)&&(L=w,w=k,k=L),c(A,M,r,n,d,p)&&(L=A,A=M,M=L);var S=r[w],C=n[2*w],z=n[2*w+1],P=d[w],R=p[w],O=r[A],I=n[2*A],N=n[2*A+1],j=d[A],F=p[A],D=_,B=k,U=M,V=v,q=y,H=m,G=r[D],Y=r[B],X=r[U];r[V]=G,r[q]=Y,r[H]=X;for(var W=0;2>W;++W){var Z=n[2*D+W],K=n[2*B+W],$=n[2*U+W];n[2*V+W]=Z,n[2*q+W]=K,n[2*H+W]=$}var Q=d[D],J=d[B],tt=d[U];d[V]=Q,d[q]=J,d[H]=tt;var et=p[D],rt=p[B],nt=p[U];p[V]=et,p[q]=rt,p[H]=nt,o(b,t,r,n,d,p),o(x,e,r,n,d,p);for(var it=T;E>=it;++it)if(u(it,S,C,z,P,r,n,d))it!==T&&a(it,T,r,n,d,p),++T;else if(!u(it,O,I,N,j,r,n,d))for(;;){if(u(E,O,I,N,j,r,n,d)){u(E,S,C,z,P,r,n,d)?(s(it,T,E,r,n,d,p),++T,--E):(a(it,E,r,n,d,p),--E);break}if(--E=T-2-t?i(t,T-2,r,n,d,p):f(t,T-2,r,n,d,p),h>=e-(E+2)?i(E+2,e,r,n,d,p):f(E+2,e,r,n,d,p),h>=E-T?i(T,E,r,n,d,p):f(T,E,r,n,d,p)}e.exports=n;var h=32},{}],189:[function(t,e,r){"use strict";function n(t,e,r,n,i,a,o,s){for(var l=r,c=r;n>c;++c){var u=t[2*c],f=t[2*c+1],h=e[c];u>=i&&o>=u&&f>=a&&s>=f&&(c===l?l+=1:(t[2*c]=t[2*l],t[2*c+1]=t[2*l+1],e[c]=e[l],t[2*l]=u,t[2*l+1]=f,e[l]=h,l+=1))}return l}function i(t,e,r){this.pixelSize=t,this.offset=e,this.count=r}function a(t,e,r,a){function l(i,a,o,s,c,u){var f=.5*o,h=s+1,d=c-s;r[_]=d,x[_++]=u;for(var p=0;2>p;++p)for(var g=0;2>g;++g){var v=i+p*f,m=a+g*f,y=n(t,e,h,c,v,m,v+f,m+f);if(y!==h){if(y-h>=Math.max(.9*d,32)){var b=c+s>>>1;l(v,m,f,h,b,u+1),h=b}l(v,m,f,h,y,u+1),h=y}}}var c=t.length>>>1;if(1>c)return[];for(var u=1/0,f=1/0,h=-(1/0),d=-(1/0),p=0;c>p;++p){var g=t[2*p],v=t[2*p+1];u=Math.min(u,g),h=Math.max(h,g),f=Math.min(f,v),d=Math.max(d,v),e[p]=p}u===h&&(h+=1+Math.abs(h)),f===d&&(d+=1+Math.abs(h));var m=1/(h-u),y=1/(d-f),b=Math.max(h-u,d-f);a=a||[0,0,0,0],a[0]=u,a[1]=f,a[2]=h,a[3]=d;var x=o.mallocInt32(c),_=0;l(u,f,b,0,c,0),s(x,t,e,r,c);for(var w=[],k=0,A=c,_=c-1;_>=0;--_){t[2*_]=(t[2*_]-u)*m,t[2*_+1]=(t[2*_+1]-f)*y;var M=x[_];M!==k&&(w.push(new i(b*Math.pow(.5,M),_+1,A-(_+1))),A=_+1,k=M)}return w.push(new i(b*Math.pow(.5,M+1),0,A)),o.free(x),w}var o=t("typedarray-pool"),s=t("./lib/sort");e.exports=a},{"./lib/sort":188,"typedarray-pool":278}],190:[function(t,e,r){"use strict";function n(t,e,r,n,i,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.weightBuffer=n,this.shader=i,this.pickShader=a,this.scales=[],this.size=12,this.borderSize=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.bounds=[1/0,1/0,-(1/0),-(1/0)],this.pickOffset=0,this.points=null,this.xCoords=null}function i(t,e){var r=t.gl,i=o(r),s=o(r),l=o(r),c=a(r,u.pointVertex,u.pointFragment),f=a(r,u.pickVertex,u.pickFragment),h=new n(t,i,s,l,c,f);return h.update(e),t.addObject(h),h}var a=t("gl-shader"),o=t("gl-buffer"),s=t("binary-search-bounds"),l=t("snap-points-2d"),c=t("typedarray-pool"),u=t("./lib/shader");e.exports=i;var f=n.prototype;f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.xCoords&&c.free(this.xCoords),this.plot.removeObject(this)},f.update=function(t){function e(e,r){return e in t?t[e]:r}t=t||{},this.size=e("size",12),this.color=e("color",[1,0,0,1]).slice(),this.borderSize=e("borderSize",1),this.borderColor=e("borderColor",[0,0,0,1]).slice(),this.xCoords&&c.free(this.xCoords);var r=t.positions,n=c.mallocFloat32(r.length),i=c.mallocInt32(r.length>>>1);n.set(r);var a=c.mallocFloat32(r.length);this.points=r,this.scales=l(n,i,a,this.bounds),this.offsetBuffer.update(n),this.pickBuffer.update(i),this.weightBuffer.update(a);for(var o=c.mallocFloat32(r.length>>>1),s=0,u=0;s>>1,this.pickOffset=0},f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.scales,o=this.offsetBuffer,l=this.pickBuffer,c=this.bounds,u=this.size,f=this.borderSize,h=n.gl,d=n.pickPixelRatio,p=n.viewBox,g=n.dataBox;if(0===this.pointCount)return r;var v=c[2]-c[0],m=c[3]-c[1],y=g[2]-g[0],b=g[3]-g[1],x=(p[2]-p[0])*d/n.pixelRatio,_=(p[3]-p[1])*d/n.pixelRatio,w=Math.min(y/x,b/_);t[0]=2*v/y,t[4]=2*m/b,t[6]=2*(c[0]-g[0])/y-1,t[7]=2*(c[1]-g[1])/b-1,this.pickOffset=r,e[0]=255&r,e[1]=r>>8&255,e[2]=r>>16&255,e[3]=r>>24&255,i.bind(),i.uniforms.matrix=t,i.uniforms.color=this.color,i.uniforms.borderColor=this.borderColor,i.uniforms.pointSize=d*(u+f),i.uniforms.pickOffset=e,0===this.borderSize?i.uniforms.centerFraction=2:i.uniforms.centerFraction=u/(u+f+1.25),o.bind(),i.attributes.position.pointer(),l.bind(),i.attributes.pickId.pointer(h.UNSIGNED_BYTE);for(var k=this.xCoords,A=(g[0]-c[0]-w*u*d)/v,M=(g[2]-c[0]+w*u*d)/v,T=a.length-1;T>=0;--T){var E=a[T];if(!(E.pixelSize1)){var L=E.offset,S=E.count+L,C=s.ge(k,A,L,S-1),z=s.lt(k,M,C,S-1)+1;z>C&&h.drawArrays(h.POINTS,C,z-C)}}return r+this.pointCount}}(),f.draw=function(){var t=[1,0,0,0,1,0,0,0,1];return function(){var e=this.plot,r=this.shader,n=this.scales,i=this.offsetBuffer,a=this.bounds,o=this.size,l=this.borderSize,c=e.gl,u=e.pixelRatio,f=e.viewBox,h=e.dataBox;if(0!==this.pointCount){var d=a[2]-a[0],p=a[3]-a[1],g=h[2]-h[0],v=h[3]-h[1],m=f[2]-f[0],y=f[3]-f[1],b=Math.min(g/m,v/y);t[0]=2*d/g,t[4]=2*p/v,t[6]=2*(a[0]-h[0])/g-1,t[7]=2*(a[1]-h[1])/v-1,r.bind(),r.uniforms.matrix=t,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointSize=u*(o+l),r.uniforms.useWeight=1,0===this.borderSize?r.uniforms.centerFraction=2:r.uniforms.centerFraction=o/(o+l+1.25),i.bind(),r.attributes.position.pointer(),this.weightBuffer.bind(),r.attributes.weight.pointer();for(var x=this.xCoords,_=(h[0]-a[0]-b*o*u)/d,w=(h[2]-a[0]+b*o*u)/d,k=!0,A=n.length-1;A>=0;--A){var M=n[A];if(!(M.pixelSize1)){var T=M.offset,E=M.count+T,L=s.ge(x,_,T,E-1),S=s.lt(x,w,L,E-1)+1;S>L&&c.drawArrays(c.POINTS,L,S-L),k&&(k=!1,r.uniforms.useWeight=0)}}}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(n>r||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{"./lib/shader":186,"binary-search-bounds":187,"gl-buffer":118,"gl-shader":197,"snap-points-2d":189,"typedarray-pool":278}],191:[function(t,e,r){"use strict";function n(t,e){var r=a[e];if(r||(r=a[e]={}),t in r)return r[t];for(var n=i(t,{textAlign:"center",textBaseline:"middle",lineHeight:1,font:e}),o=i(t,{triangles:!0,textAlign:"center",textBaseline:"middle",lineHeight:1,font:e}),s=[[1/0,1/0],[-(1/0),-(1/0)]],l=0;lu;++u)s[0][u]=Math.min(s[0][u],c[u]),s[1][u]=Math.max(s[1][u],c[u]);return r[t]=[o,n,s]}var i=t("vectorize-text");e.exports=n;var a={}},{"vectorize-text":280}],192:[function(t,e,r){function n(t,e){var r=i(t,e),n=r.attributes;return n.position.location=0,n.color.location=1,n.glyph.location=2,n.id.location=3,r}var i=t("gl-shader"),a="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || \n any(greaterThan(position, clipBounds[1])) ) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = 1.0;\n if(distance(highlightId, id) < 0.0001) {\n scale = highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1);\n vec4 viewPosition = view * worldPosition;\n viewPosition = viewPosition / viewPosition.w;\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n \n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}",o="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || any(greaterThan(position, clipBounds[1]))) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = pixelRatio;\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\n scale *= highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1.0);\n vec4 viewPosition = view * worldPosition;\n vec4 clipPosition = projection * viewPosition;\n clipPosition /= clipPosition.w;\n \n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}",s="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) ||\n any(greaterThan(position, clipBounds[1])) ) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float lscale = pixelRatio * scale;\n if(distance(highlightId, id) < 0.0001) {\n lscale *= highlightScale;\n }\n\n vec4 clipCenter = projection * view * model * vec4(position, 1);\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = dataPosition;\n }\n}\n",l="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(dataCoordinate, fragClipBounds[0])) ||\n any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\n discard;\n } else {\n gl_FragColor = interpColor * opacity;\n }\n}\n",c="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(dataCoordinate, fragClipBounds[0])) || \n any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\n discard;\n } else {\n gl_FragColor = vec4(pickGroup, pickId.bgr);\n }\n}",u=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},d={vertex:s,fragment:l,attributes:u},p={vertex:a,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},v={vertex:s,fragment:c,attributes:u};r.createPerspective=function(t){return n(t,f)},r.createOrtho=function(t){return n(t,h)},r.createProject=function(t){return n(t,d)},r.createPickPerspective=function(t){return n(t,p)},r.createPickOrtho=function(t){return n(t,g)},r.createPickProject=function(t){return n(t,v)}},{"gl-shader":197}],193:[function(t,e,r){"use strict";function n(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a, +t}function i(t,e,r,i){return n(i,i,r),n(i,i,e),n(i,i,t)}function a(t,e){this.index=t,this.dataCoordinate=this.position=e}function o(t,e,r,n,i,o,s,l,c,u,f,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=o,this.glyphBuffer=s,this.idBuffer=l,this.vao=c,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=f,this.pickProjectShader=h,this.points=[],this._selectResult=new a(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.dirty=!0}function s(t){return t[0]=t[1]=t[2]=0,t}function l(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function c(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function u(t){for(var e=S,r=0;2>r;++r)for(var n=0;3>n;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}function f(t,e,r,n,a){var o,f=e.axesProject,h=e.gl,d=t.uniforms,p=r.model||x,g=r.view||x,v=r.projection||x,y=e.axesBounds,b=u(e.clipBounds);o=e.axes?e.axes.lastCubeProps.axis:[1,1,1],w[0]=2/h.drawingBufferWidth,w[1]=2/h.drawingBufferHeight,t.bind(),d.view=g,d.projection=v,d.screenSize=w,d.highlightId=e.highlightId,d.highlightScale=e.highlightScale,d.clipBounds=b,d.pickGroup=e.pickId/255,d.pixelRatio=e.pixelRatio;for(var _=0;3>_;++_)if(f[_]&&e.projectOpacity[_]<1===n){d.scale=e.projectScale[_],d.opacity=e.projectOpacity[_];for(var S=E,C=0;16>C;++C)S[C]=0;for(var C=0;4>C;++C)S[5*C]=1;S[5*_]=0,o[_]<0?S[12+_]=y[0][_]:S[12+_]=y[1][_],m(S,p,S),d.model=S;var z=(_+1)%3,P=(_+2)%3,R=s(k),O=s(A);R[z]=1,O[P]=1;var I=i(v,g,p,l(M,R)),N=i(v,g,p,l(T,O));if(Math.abs(I[1])>Math.abs(N[1])){var j=I;I=N,N=j,j=R,R=O,O=j;var F=z;z=P,P=F}I[0]<0&&(R[z]=-1),N[1]>0&&(O[P]=-1);for(var D=0,B=0,C=0;4>C;++C)D+=Math.pow(p[4*z+C],2),B+=Math.pow(p[4*P+C],2);R[z]/=Math.sqrt(D),O[P]/=Math.sqrt(B),d.axes[0]=R,d.axes[1]=O,d.fragClipBounds[0]=c(L,b[0],_,-1e8),d.fragClipBounds[1]=c(L,b[1],_,1e8),e.vao.draw(h.TRIANGLES,e.vertexCount),e.lineWidth>0&&(h.lineWidth(e.lineWidth),e.vao.draw(h.LINES,e.lineVertexCount,e.vertexCount))}}function h(t,e,r,n,i,a){var o=r.gl;if(r.vao.bind(),i===r.opacity<1||a){t.bind();var s=t.uniforms;s.model=n.model||x,s.view=n.view||x,s.projection=n.projection||x,w[0]=2/o.drawingBufferWidth,w[1]=2/o.drawingBufferHeight,s.screenSize=w,s.highlightId=r.highlightId,s.highlightScale=r.highlightScale,s.fragClipBounds=P,s.clipBounds=r.axes.bounds,s.opacity=r.opacity,s.pickGroup=r.pickId/255,s.pixelRatio=r.pixelRatio,r.vao.draw(o.TRIANGLES,r.vertexCount),r.lineWidth>0&&(o.lineWidth(r.lineWidth),r.vao.draw(o.LINES,r.lineVertexCount,r.vertexCount))}f(e,r,n,i,a),r.vao.unbind()}function d(t){var e=t.gl,r=y.createPerspective(e),n=y.createOrtho(e),i=y.createProject(e),a=y.createPickPerspective(e),s=y.createPickOrtho(e),l=y.createPickProject(e),c=p(e),u=p(e),f=p(e),h=p(e),d=g(e,[{buffer:c,size:3,type:e.FLOAT},{buffer:u,size:4,type:e.FLOAT},{buffer:f,size:2,type:e.FLOAT},{buffer:h,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new o(e,r,n,i,c,u,f,h,d,a,s,l);return v.update(t),v}var p=t("gl-buffer"),g=t("gl-vao"),v=t("typedarray-pool"),m=t("gl-mat4/multiply"),y=t("./lib/shaders"),b=t("./lib/glyphs"),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];e.exports=d;var _=o.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.opacity<1)return!0;for(var t=0;3>t;++t)if(this.axesProject[t]&&this.projectOpacity[t]<1)return!0;return!1},_.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;3>t;++t)if(this.axesProject[t]&&this.projectOpacity[t]>=1)return!0;return!1};var w=[0,0],k=[0,0,0],A=[0,0,0],M=[0,0,0,1],T=[0,0,0,1],E=x.slice(),L=[0,0,0],S=[[0,0,0],[0,0,0]],C=[-1e8,-1e8,-1e8],z=[1e8,1e8,1e8],P=[C,z];_.draw=function(t){var e=this.useOrtho?this.orthoShader:this.shader;h(e,this.projectShader,this,t,!1,!1)},_.drawTransparent=function(t){var e=this.useOrtho?this.orthoShader:this.shader;h(e,this.projectShader,this,t,!0,!1)},_.drawPick=function(t){var e=this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader;h(e,this.pickProjectShader,this,t,!1,!0)},_.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||0>e)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;3>i;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},_.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},_.update=function(t){if(t=t||{},"perspective"in t&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if("projectOpacity"in t)if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{var r=+t.projectOpacity;this.projectOpacity=[r,r,r]}"opacity"in t&&(this.opacity=t.opacity),this.dirty=!0;var n=t.position;if(n){var i=t.font||"normal",a=t.alignment||[0,0],o=[1/0,1/0,1/0],s=[-(1/0),-(1/0),-(1/0)],l=t.glyph,c=t.color,u=t.size,f=t.angle,h=t.lineColor,d=0,p=0,g=0,m=n.length;t:for(var y=0;m>y;++y){for(var x=n[y],_=0;3>_;++_)if(isNaN(x[_])||!isFinite(x[_]))continue t;var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b("\u25cf",i);var k=w[0],A=w[1],M=w[2];p+=3*k.cells.length,g+=2*A.edges.length}var T=p+g,E=v.mallocFloat(3*T),L=v.mallocFloat(4*T),S=v.mallocFloat(2*T),C=v.mallocUint32(T),z=[0,a[1]],P=0,R=p,O=[0,0,0,1],I=[0,0,0,1],N=Array.isArray(c)&&Array.isArray(c[0]),j=Array.isArray(h)&&Array.isArray(h[0]);t:for(var y=0;m>y;++y){for(var x=n[y],_=0;3>_;++_){if(isNaN(x[_])||!isFinite(x[_])){d+=1;continue t}s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_])}var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b("\u25cf",i);var k=w[0],A=w[1],M=w[2];if(Array.isArray(c)){var F;if(F=N?c[y]:c,3===F.length){for(var _=0;3>_;++_)O[_]=F[_];O[3]=1}else if(4===F.length)for(var _=0;4>_;++_)O[_]=F[_]}else O[0]=O[1]=O[2]=0,O[3]=1;if(Array.isArray(h)){var F;if(F=j?h[y]:h,3===F.length){for(var _=0;3>_;++_)I[_]=F[_];I[_]=1}else if(4===F.length)for(var _=0;4>_;++_)I[_]=F[_]}else I[0]=I[1]=I[2]=0,I[3]=1;var D=.5;Array.isArray(u)?D=+u[y]:u?D=+u:this.useOrtho&&(D=12);var B=0;Array.isArray(f)?B=+f[y]:f&&(B=+f);for(var U=Math.cos(B),V=Math.sin(B),x=n[y],_=0;3>_;++_)s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_]);a[0]<0?z[0]=a[0]*(1+M[1][0]):a[0]>0&&(z[0]=-a[0]*(1+M[0][0]));for(var q=k.cells,H=k.positions,_=0;_Y;++Y){for(var X=0;3>X;++X)E[3*P+X]=x[X];for(var X=0;4>X;++X)L[4*P+X]=O[X];C[P]=d;var W=H[G[Y]];S[2*P]=D*(U*W[0]-V*W[1]+z[0]),S[2*P+1]=D*(V*W[0]+U*W[1]+z[1]),P+=1}for(var q=A.edges,H=A.positions,_=0;_Y;++Y){for(var X=0;3>X;++X)E[3*R+X]=x[X];for(var X=0;4>X;++X)L[4*R+X]=I[X];C[R]=d;var W=H[G[Y]];S[2*R]=D*(U*W[0]-V*W[1]+z[0]),S[2*R+1]=D*(V*W[0]+U*W[1]+z[1]),R+=1}d+=1}this.vertexCount=p,this.lineVertexCount=g,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(S),this.idBuffer.update(new 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n(t){this.plot=t,this.enable=[!0,!0,!1,!1],this.width=[1,1,1,1],this.color=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.center=[1/0,1/0]}function i(t,e){var r=new n(t);return r.update(e),t.addOverlay(r),r}e.exports=i;var a=n.prototype;a.update=function(t){t=t||{},this.enable=(t.enable||[!0,!0,!1,!1]).slice(),this.width=(t.width||[1,1,1,1]).slice(),this.color=(t.color||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]).map(function(t){return t.slice()}),this.center=(t.center||[1/0,1/0]).slice(),this.plot.setOverlayDirty()},a.draw=function(){var t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var 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vec4 cameraCoordinate = view * worldPosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n lightDirection = lightPosition - cameraCoordinate.xyz;\n eyeDirection = eyePosition - cameraCoordinate.xyz;\n surfaceNormal = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n",a="precision mediump float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution_2_0(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\n\n\nfloat beckmannSpecular_1_1(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness) {\n return beckmannDistribution_2_0(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\n\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\n\nvoid main() {\n if(kill > 0.0 ||\n any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\n discard;\n }\n\n vec3 N = normalize(surfaceNormal);\n vec3 V = normalize(eyeDirection);\n vec3 L = normalize(lightDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = beckmannSpecular_1_1(L, V, N, roughness);\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = texture2D(colormap, vec2(value, value));\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n",o="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\n\nvoid main() {\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n vec4 worldPosition = model * vec4(dataCoordinate, 1.0);\n\n vec4 clipPosition = projection * view * worldPosition;\n clipPosition.z = clipPosition.z + zOffset;\n\n gl_Position = clipPosition;\n value = f;\n kill = -1.0;\n worldCoordinate = dataCoordinate;\n planeCoordinate = uv.zw;\n\n //Don't do lighting for contours\n surfaceNormal = vec3(1,0,0);\n eyeDirection = vec3(0,1,0);\n lightDirection = vec3(0,0,1);\n}\n",s="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n float vh = 255.0 * v;\n float upper = floor(vh);\n float lower = fract(vh);\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n if(kill > 0.0 ||\n any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\n discard;\n }\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n";r.createShader=function(t){var e=n(t,i,a,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,s,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,o,a,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,o,s,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{"gl-shader":197}],217:[function(t,e,r){arguments[4][21][0].apply(r,arguments)},{dup:21}],218:[function(t,e,r){"use strict";function n(t){if(t in l)return l[t];for(var e=[],r=0;t>r;++r)e.push("out",r,"s=0.5*(inp",r,"l-inp",r,"r);");for(var n=["array"],i=["junk"],r=0;t>r;++r){n.push("array"),i.push("out"+r+"s");var a=o(t);a[r]=-1,n.push({array:0,offset:a.slice()}),a[r]=1,n.push({array:0,offset:a.slice()}),i.push("inp"+r+"l","inp"+r+"r")}return l[t]=s({args:n,pre:u,post:u,body:{body:e.join(""),args:i.map(function(t){return{name:t,lvalue:0===t.indexOf("out"),rvalue:0===t.indexOf("inp"),count:"junk"!==t|0}}),thisVars:[],localVars:[]},funcName:"fdTemplate"+t})}function i(t){function e(e){for(var r=a-e.length,n=[],i=[],s=[],l=0;a>l;++l)e.indexOf(l+1)>=0?s.push("0"):e.indexOf(-(l+1))>=0?s.push("s["+l+"]-1"):(s.push("-1"),n.push("1"),i.push("s["+l+"]-2"));var c=".lo("+n.join()+").hi("+i.join()+")";if(0===n.length&&(c=""),r>0){o.push("if(1");for(var l=0;a>l;++l)e.indexOf(l+1)>=0||e.indexOf(-(l+1))>=0||o.push("&&s[",l,"]>2");o.push("){grad",r,"(src.pick(",s.join(),")",c);for(var l=0;a>l;++l)e.indexOf(l+1)>=0||e.indexOf(-(l+1))>=0||o.push(",dst.pick(",s.join(),",",l,")",c);o.push(");")}for(var l=0;l1){dst.set(",s.join(),",",u,",0.5*(src.get(",h.join(),")-src.get(",d.join(),")))}else{dst.set(",s.join(),",",u,",0)};"):o.push("if(s[",u,"]>1){diff(",f,",src.pick(",h.join(),")",c,",src.pick(",d.join(),")",c,");}else{zero(",f,");};");break;case"mirror":0===r?o.push("dst.set(",s.join(),",",u,",0);"):o.push("zero(",f,");");break;case"wrap":var p=s.slice(),g=s.slice();e[l]<0?(p[u]="s["+u+"]-2",g[u]="0"):(p[u]="s["+u+"]-1",g[u]="1"),0===r?o.push("if(s[",u,"]>2){dst.set(",s.join(),",",u,",0.5*(src.get(",p.join(),")-src.get(",g.join(),")))}else{dst.set(",s.join(),",",u,",0)};"):o.push("if(s[",u,"]>2){diff(",f,",src.pick(",p.join(),")",c,",src.pick(",g.join(),")",c,");}else{zero(",f,");};");break;default:throw new Error("ndarray-gradient: Invalid boundary condition")}}r>0&&o.push("};")}var r=t.join(),i=c[r];if(i)return i;for(var a=t.length,o=["function gradient(dst,src){var s=src.shape.slice();"],s=0;1<s;++s){for(var u=[],d=0;a>d;++d)s&1<=s;++s)v.push("grad"+s),m.push(n(s));v.push(o.join(""));var y=Function.apply(void 0,v),i=y.apply(void 0,m);return l[r]=i,i}function a(t,e,r){if(Array.isArray(r)){if(r.length!==e.dimension)throw new Error("ndarray-gradient: invalid boundary conditions")}else r="string"==typeof r?o(e.dimension,r):o(e.dimension,"clamp");if(t.dimension!==e.dimension+1)throw new Error("ndarray-gradient: output dimension must be +1 input dimension");if(t.shape[e.dimension]!==e.dimension)throw new Error("ndarray-gradient: output shape must match input shape");for(var n=0;nr;++r)for(o=o||e.surfaceProject[r],n=0;3>n;++n)s=s||e.contourProject[r][n];for(r=0;3>r;++r){var l=D.projections[r];for(n=0;16>n;++n)l[n]=0;for(n=0;4>n;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],k(l,t.model,l);var c=D.clipBounds[r];for(i=0;2>i;++i)for(n=0;3>n;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return D.showSurface=o,D.showContour=s,D}function s(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=B;n.model=t.model||R,n.view=t.view||R,n.projection=t.projection||R,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.contourColor=this.contourColor[0],n.inverseModel=A(n.inverseModel,n.model);for(var i=0;2>i;++i)for(var a=n.clipBounds[i],s=0;3>s;++s)a[s]=Math.min(Math.max(this.clipBounds[i][s],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=V;var l=U;for(k(l,n.view,n.model),k(l,n.projection,l),A(l,l),i=0;3>i;++i)n.eyePosition[i]=l[12+i]/l[15];var c=l[15];for(i=0;3>i;++i)c+=this.lightPosition[i]*l[4*i+3];for(i=0;3>i;++i){var u=l[12+i];for(s=0;3>s;++s)u+=l[4*s+i]*this.lightPosition[s];n.lightPosition[i]=u/c}var f=o(n,this);if(f.showSurface&&e===this.opacity<1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;3>i;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=f.projections[i],this._shader.uniforms.clipBounds=f.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(f.showContour&&!e){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var d=this._contourVAO;for(d.bind(),i=0;3>i;++i)for(h.uniforms.permutation=I[i],r.lineWidth(this.contourWidth[i]),s=0;si;++i)for(h.uniforms.model=f.projections[i],h.uniforms.clipBounds=f.clipBounds[i],s=0;3>s;++s)if(this.contourProject[i][s]){h.uniforms.permutation=I[s],r.lineWidth(this.contourWidth[s]);for(var p=0;pi;++i)if(0!==this._dynamicCounts[i])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=I[i],r.lineWidth(this.dynamicWidth[i]),h.uniforms.contourColor=this.dynamicColor[i],h.uniforms.contourTint=this.dynamicTint[i],h.uniforms.height=this.dynamicLevel[i],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),s=0;3>s;++s)this.contourProject[s][i]&&(h.uniforms.model=f.projections[s],h.uniforms.clipBounds=f.clipBounds[s],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));d.unbind()}}function l(t,e){var r=e.shape.slice(),n=t.shape.slice();b.assign(t.lo(1,1).hi(r[0],r[1]),e),b.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),b.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),b.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),b.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))}function c(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function u(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function f(t){if(Array.isArray(t)){if(Array.isArray(t))return[u(t[0]),u(t[1]),u(t[2])];var e=u(t);return[e.slice(),e.slice(),e.slice()]}}function h(t){var e=t.gl,r=L(e),n=C(e),i=S(e),o=z(e),s=p(e),l=g(e,[{buffer:s,size:4,stride:P,offset:0},{buffer:s,size:3,stride:P,offset:16},{buffer:s,size:3,stride:P,offset:28}]),c=p(e),u=g(e,[{buffer:c,size:4,stride:20,offset:0},{buffer:c,size:1,stride:20,offset:16}]),f=p(e),h=g(e,[{buffer:f,size:2,type:e.FLOAT}]),d=v(e,1,N,e.RGBA,e.UNSIGNED_BYTE);d.minFilter=e.LINEAR,d.magFilter=e.LINEAR;var m=new a(e,[0,0],[[0,0,0],[0,0,0]],r,n,s,l,d,i,o,c,u,f,h),y={levels:[[],[],[]]};for(var b in t)y[b]=t[b];return y.colormap=y.colormap||"jet",m.update(y),m}e.exports=h;var d=t("bit-twiddle"),p=t("gl-buffer"),g=t("gl-vao"),v=t("gl-texture2d"),m=t("typedarray-pool"),y=t("colormap"),b=t("ndarray-ops"),x=t("ndarray-pack"),_=t("ndarray"),w=t("surface-nets"),k=t("gl-mat4/multiply"),A=t("gl-mat4/invert"),M=t("binary-search-bounds"),T=t("ndarray-gradient"),E=t("./lib/shaders"),L=E.createShader,S=E.createContourShader,C=E.createPickShader,z=E.createPickContourShader,P=40,R=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],O=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],I=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];!function(){for(var t=0;3>t;++t){var e=I[t],r=(t+1)%3,n=(t+2)%3;e[r+0]=1,e[n+3]=1,e[t+6]=1}}();var N=265,j=a.prototype;j.isTransparent=function(){return this.opacity<1},j.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;3>t;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},j.pickSlots=1,j.setPickBase=function(t){this.pickId=t};var F=[0,0,0],D={showSurface:!1,showContour:!1,projections:[R.slice(),R.slice(),R.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]},B={model:R,view:R,projection:R,inverseModel:R.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1},U=R.slice(),V=[1,0,0,0,1,0,0,0,1];j.draw=function(t){return s.call(this,t,!1)},j.drawTransparent=function(t){return s.call(this,t,!0)};var q={model:R,view:R,projection:R,inverseModel:R,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};j.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=q;r.model=t.model||R,r.view=t.view||R,r.projection=t.projection||R,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.permutation=V;for(var n=0;2>n;++n)for(var i=r.clipBounds[n],a=0;3>a;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var s=o(r,this);if(s.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;3>n;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=s.projections[n],this._pickShader.uniforms.clipBounds=s.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(s.showContour){var l=this._contourPickShader;l.bind(),l.uniforms=r;var c=this._contourVAO;for(c.bind(),a=0;3>a;++a)for(e.lineWidth(this.contourWidth[a]),l.uniforms.permutation=I[a],n=0;nn;++n)for(l.uniforms.model=s.projections[n],l.uniforms.clipBounds=s.clipBounds[n],a=0;3>a;++a)if(this.contourProject[n][a]){l.uniforms.permutation=I[a],e.lineWidth(this.contourWidth[a]);for(var u=0;u>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;2>u;++u)for(var f=u?a:1-a,h=0;2>h;++h)for(var d=h?l:1-l,p=i+u,g=s+h,v=f*d,m=0;3>m;++m)c[m]+=this._field[m].get(p,g)*v;for(var y=this._pickResult.level,b=0;3>b;++b)if(y[b]=M.le(this.contourLevels[b],c[b]),y[b]<0)this.contourLevels[b].length>0&&(y[b]=0);else if(y[b]Math.abs(_-c[b])&&(y[b]+=1)}for(r.index[0]=.5>a?i:i+1,r.index[1]=.5>l?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],m=0;3>m;++m)r.dataCoordinate[m]=this._field[m].get(r.index[0],r.index[1]);return r},j.update=function(t){t=t||{},this.dirty=!0,"contourWidth"in t&&(this.contourWidth=c(t.contourWidth,Number)),"showContour"in t&&(this.showContour=c(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=c(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=f(t.contourColor)),"contourProject"in t&&(this.contourProject=c(t.contourProject,function(t){return c(t,Boolean)})),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=f(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=c(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=c(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"colorBounds"in t&&(this.colorBounds=t.colorBounds);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var n=(e.shape[0]+2)*(e.shape[1]+2);n>this._field[2].data.length&&(m.freeFloat(this._field[2].data),this._field[2].data=m.mallocFloat(d.nextPow2(n))),this._field[2]=_(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),l(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;2>o;++o)this._field[2].size>this._field[o].data.length&&(m.freeFloat(this._field[o].data),this._field[o].data=m.mallocFloat(this._field[2].size)),this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var s=t.coords;if(!Array.isArray(s)||3!==s.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;2>o;++o){var u=s[o];for(y=0;2>y;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");l(this._field[o],u)}}else if(t.ticks){var h=t.ticks;if(!Array.isArray(h)||2!==h.length)throw new Error("gl-surface: invalid ticks");for(o=0;2>o;++o){var p=h[o];if((Array.isArray(p)||p.length)&&(p=_(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var g=_(p.data,a);g.stride[o]=p.stride[0],g.stride[1^o]=0,l(this._field[o],g)}}else{for(o=0;2>o;++o){var v=[0,0];v[o]=1,this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;yo;++o)T(x.pick(o),b[o],"mirror");var k=_(m.mallocFloat(3*b[2].size),[a[0]+2,a[1]+2,3]);for(o=0;oI?(I=Math.max(Math.abs(z),Math.abs(P),Math.abs(R)),1e-8>I?(R=1,P=z=0,I=1):I=1/I):I=1/Math.sqrt(I),k.set(o,y,0,z*I),k.set(o,y,1,P*I),k.set(o,y,2,R*I)}m.free(x.data);var N=[1/0,1/0,1/0],j=[-(1/0),-(1/0),-(1/0)],F=1/0,D=-(1/0),B=(a[0]-1)*(a[1]-1)*6,U=m.mallocFloat(d.nextPow2(10*B)),V=0,q=0;for(o=0;oH;++H)for(var G=0;2>G;++G)for(var Y=0;3>Y;++Y){var X=this._field[Y].get(1+o+H,1+y+G);if(isNaN(X)||!isFinite(X))continue t}for(Y=0;6>Y;++Y){var W=o+O[Y][0],Z=y+O[Y][1],K=this._field[0].get(W+1,Z+1),$=this._field[1].get(W+1,Z+1);X=this._field[2].get(W+1,Z+1);var Q=X;z=k.get(W+1,Z+1,0),P=k.get(W+1,Z+1,1),R=k.get(W+1,Z+1,2),t.intensity&&(Q=t.intensity.get(W,Z)),U[V++]=W,U[V++]=Z,U[V++]=K,U[V++]=$,U[V++]=X,U[V++]=0,U[V++]=Q,U[V++]=z,U[V++]=P,U[V++]=R,N[0]=Math.min(N[0],K),N[1]=Math.min(N[1],$),N[2]=Math.min(N[2],X),F=Math.min(F,Q),j[0]=Math.max(j[0],K),j[1]=Math.max(j[1],$),j[2]=Math.max(j[2],X),D=Math.max(D,Q),q+=1}}for(t.intensityBounds&&(F=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;V>o;o+=10)U[o]=(U[o]-F)/(D-F);this._vertexCount=q,this._coordinateBuffer.update(U.subarray(0,V)),m.freeFloat(U),m.free(k.data),this.bounds=[N,j],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===F&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[F,D]}if("levels"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;3>o;++o)J[o]=J[o].slice(),J.sort(function(t,e){return t-e});t:for(o=0;3>o;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;yet;++et){J=this.contourLevels[et];var rt=[],nt=[],it=[0,0,0];for(o=0;oY;++Y){var st=at.positions[ot[Y]],lt=st[0],ct=0|Math.floor(lt),ut=lt-ct,ft=st[1],ht=0|Math.floor(ft),dt=ft-ht,pt=!1; +e:for(var gt=0;3>gt;++gt){it[gt]=0;var vt=(et+gt+1)%3;for(H=0;2>H;++H){var mt=H?ut:1-ut;for(W=0|Math.min(Math.max(ct+H,0),a[0]),G=0;2>G;++G){var yt=G?dt:1-dt;if(Z=0|Math.min(Math.max(ht+G,0),a[1]),X=2>gt?this._field[vt].get(W,Z):(this.intensity.get(W,Z)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(X)||isNaN(X)){pt=!0;break e}var bt=mt*yt;it[gt]+=bt*X}}}if(pt){if(Y>0){for(var xt=0;5>xt;++xt)tt.pop();q-=1}continue t}tt.push(it[0],it[1],st[0],st[1],it[2]),q+=1}}nt.push(q)}this._contourOffsets[et]=rt,this._contourCounts[et]=nt}var _t=m.mallocFloat(tt.length);for(o=0;ot;++t)m.freeFloat(this._field[t].data)},j.highlight=function(t){if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(var e=0;3>e;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;var r;if(r=this.snapToData?t.dataCoordinate:t.position,this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=m.mallocFloat(12*i[0]*i[1]),o=0;3>o;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var s=(o+1)%3,l=(o+2)%3,c=this._field[o],u=this._field[s],f=this._field[l],h=(this.intensity,w(c,r[o])),d=h.cells,p=h.positions;for(this._dynamicOffsets[o]=n,e=0;ev;++v){var y=p[g[v]],b=+y[0],x=0|b,_=0|Math.min(x+1,i[0]),k=b-x,A=1-k,M=+y[1],T=0|M,E=0|Math.min(T+1,i[1]),L=M-T,S=1-L,C=A*S,z=A*L,P=k*S,R=k*L,O=C*u.get(x,T)+z*u.get(x,E)+P*u.get(_,T)+R*u.get(_,E),I=C*f.get(x,T)+z*f.get(x,E)+P*f.get(_,T)+R*f.get(_,E);if(isNaN(O)||isNaN(I)){v&&(n-=1);break}a[2*n+0]=O,a[2*n+1]=I,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),m.freeFloat(a)}}},{"./lib/shaders":216,"binary-search-bounds":217,"bit-twiddle":50,colormap:100,"gl-buffer":118,"gl-mat4/invert":137,"gl-mat4/multiply":139,"gl-texture2d":222,"gl-vao":226,ndarray:253,"ndarray-gradient":218,"ndarray-ops":252,"ndarray-pack":219,"surface-nets":272,"typedarray-pool":278}],222:[function(t,e,r){"use strict";function n(t){v=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],m=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],y=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function i(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(0>e||e>i||0>r||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function a(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}function o(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function s(t,e,r,n,i,a,s,l){var c=l.dtype,u=l.shape.slice();if(u.length<2||u.length>3)throw new Error("gl-texture2d: Invalid ndarray, must be 2d or 3d");var f=0,h=0,v=o(u,l.stride.slice());"float32"===c?f=t.FLOAT:"float64"===c?(f=t.FLOAT,v=!1,c="float32"):"uint8"===c?f=t.UNSIGNED_BYTE:(f=t.UNSIGNED_BYTE,v=!1,c="uint8");var m=1;if(2===u.length)h=t.LUMINANCE,u=[u[0],u[1],1],l=d(l.data,u,[l.stride[0],l.stride[1],1],l.offset);else{if(3!==u.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===u[2])h=t.ALPHA;else if(2===u[2])h=t.LUMINANCE_ALPHA;else if(3===u[2])h=t.RGB;else{if(4!==u[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");h=t.RGBA}m=u[2]}if(h!==t.LUMINANCE&&h!==t.ALPHA||i!==t.LUMINANCE&&i!==t.ALPHA||(h=i),h!==i)throw new Error("gl-texture2d: Incompatible texture format for setPixels");var y=l.size,x=s.indexOf(n)<0;if(x&&s.push(n),f===a&&v)0===l.offset&&l.data.length===y?x?t.texImage2D(t.TEXTURE_2D,n,i,u[0],u[1],0,i,a,l.data):t.texSubImage2D(t.TEXTURE_2D,n,e,r,u[0],u[1],i,a,l.data):x?t.texImage2D(t.TEXTURE_2D,n,i,u[0],u[1],0,i,a,l.data.subarray(l.offset,l.offset+y)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,u[0],u[1],i,a,l.data.subarray(l.offset,l.offset+y));else{var _;_=a===t.FLOAT?g.mallocFloat32(y):g.mallocUint8(y);var w=d(_,u,[u[2],u[2]*u[0],1]);f===t.FLOAT&&a===t.UNSIGNED_BYTE?b(w,l):p.assign(w,l),x?t.texImage2D(t.TEXTURE_2D,n,i,u[0],u[1],0,i,a,_.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,u[0],u[1],i,a,_.subarray(0,y)),a===t.FLOAT?g.freeFloat32(_):g.freeUint8(_)}}function l(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function c(t,e,r,n,i){var o=t.getParameter(t.MAX_TEXTURE_SIZE);if(0>e||e>o||0>r||r>o)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var s=l(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new a(t,s,e,r,n,i)}function u(t,e,r,n){var i=l(t);return t.texImage2D(t.TEXTURE_2D,0,r,r,n,e),new a(t,i,0|e.width,0|e.height,r,n)}function f(t,e){var r=e.dtype,n=e.shape.slice(),i=t.getParameter(t.MAX_TEXTURE_SIZE);if(n[0]<0||n[0]>i||n[1]<0||n[1]>i)throw new Error("gl-texture2d: Invalid texture size");var s=o(n,e.stride.slice()),c=0;"float32"===r?c=t.FLOAT:"float64"===r?(c=t.FLOAT,s=!1,r="float32"):"uint8"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,s=!1,r="uint8");var u=0;if(2===n.length)u=t.LUMINANCE,n=[n[0],n[1],1],e=d(e.data,n,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==n.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===n[2])u=t.ALPHA;else if(2===n[2])u=t.LUMINANCE_ALPHA;else if(3===n[2])u=t.RGB;else{if(4!==n[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");u=t.RGBA}}c!==t.FLOAT||t.getExtension("OES_texture_float")||(c=t.UNSIGNED_BYTE,s=!1);var f,h,v=e.size;if(s)f=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var m=[n[2],n[2]*n[0],1];h=g.malloc(v,r);var y=d(h,n,m,0);"float32"!==r&&"float64"!==r||c!==t.UNSIGNED_BYTE?p.assign(y,e):b(y,e),f=h.subarray(0,v)}var x=l(t);return t.texImage2D(t.TEXTURE_2D,0,u,n[0],n[1],0,u,c,f),s||g.free(h),new a(t,x,n[0],n[1],u,c)}function h(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");if(v||n(t),"number"==typeof arguments[1])return c(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return c(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1];if(e instanceof HTMLCanvasElement||e instanceof HTMLImageElement||e instanceof HTMLVideoElement||e instanceof ImageData)return u(t,e,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return f(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")}var d=t("ndarray"),p=t("ndarray-ops"),g=t("typedarray-pool");e.exports=h;var v=null,m=null,y=null,b=function(t,e){p.muls(t,e,255)},x=a.prototype;Object.defineProperties(x,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&v.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),m.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&v.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),m.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),y.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),y.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;2>e;++e)if(y.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return 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i=r.x*t.pixelRatio,a=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===n.dragmode)this.selectBox.enabled=!0,this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],t.setDirty();else{this.selectBox.enabled=!1;var o=n._size,s=this.xaxis.domain,c=this.yaxis.domain,u=t.pick(i/t.pixelRatio+o.l+s[0]*o.w,a/t.pixelRatio-(o.t+(1-c[1])*o.h));if(u&&n.hovermode){var f=u.object._trace.handlePick(u);if(f&&(!this.lastPickResult||this.lastPickResult.trace!==f.trace||this.lastPickResult.dataCoord[0]!==f.dataCoord[0]||this.lastPickResult.dataCoord[1]!==f.dataCoord[1])){var h=this.lastPickResult=f;this.spikes.update({center:u.dataCoord}),h.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(u.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(u.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio];var d=h.hoverinfo;if("all"!==d){var p=d.split("+");-1===p.indexOf("x")&&(h.traceCoord[0]=void 0),-1===p.indexOf("y")&&(h.traceCoord[1]=void 0),-1===p.indexOf("z")&&(h.traceCoord[2]=void 0),-1===p.indexOf("text")&&(h.textLabel=void 0),-1===p.indexOf("name")&&(h.name=void 0)}l.loneHover({x:h.screenCoord[0],y:h.screenCoord[1],xLabel:this.hoverFormatter("xaxis",h.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",h.traceCoord[1]),zLabel:h.traceCoord[2],text:h.textLabel,name:h.name,color:h.color},{container:this.svgContainer}),this.lastPickResult={dataCoord:u.dataCoord}}}else!u&&this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,l.loneUnhover(this.svgContainer))}t.draw()}},m.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return s.tickText(r,r.c2l(e),"hover").text}}},{"../../lib/html2unicode":381,"../../lib/show_no_webgl_msg":392,"../../plots/cartesian/axes":405,"../../plots/cartesian/graph_interact":412,"./camera":436,"./convert":437,"gl-plot2d":165,"gl-select-box":195,"gl-spikes2d":215}],440:[function(t,e,r){"use strict";function n(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];"distanceLimits"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),"zoomMin"in e&&(r[0]=e.zoomMin),"zoomMax"in e&&(r[1]=e.zoomMax);var n=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),l=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],c=0,u=t.clientWidth,f=t.clientHeight,h={keyBindingMode:"rotate",view:n,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:n.modes,tick:function(){var e=i(),r=this.delay,a=e-2*r;n.idle(e-r),n.recalcMatrix(a),n.flush(e-(100+2*r));for(var o=!0,s=n.computedMatrix,h=0;16>h;++h)o=o&&l[h]===s[h],l[h]=s[h];var d=t.clientWidth===u&&t.clientHeight===f;return u=t.clientWidth,f=t.clientHeight,o?!d:(c=Math.exp(n.computedRadius[0]),!0)},lookAt:function(t,e,r){n.lookAt(n.lastT(),t,e,r)},rotate:function(t,e,r){n.rotate(n.lastT(),t,e,r)},pan:function(t,e,r){n.pan(n.lastT(),t,e,r)},translate:function(t,e,r){n.translate(n.lastT(),t,e,r)}};Object.defineProperties(h,{matrix:{get:function(){return n.computedMatrix},set:function(t){return n.setMatrix(n.lastT(),t),n.computedMatrix},enumerable:!0},mode:{get:function(){return n.getMode()},set:function(t){var e=n.computedUp.slice(),r=n.computedEye.slice(),a=n.computedCenter.slice();if(n.setMode(t),"turntable"===t){var o=i();n._active.lookAt(o,r,a,e),n._active.lookAt(o+500,r,a,[0,0,1]),n._active.flush(o)}return n.getMode()},enumerable:!0},center:{get:function(){return n.computedCenter},set:function(t){return n.lookAt(n.lastT(),null,t),n.computedCenter},enumerable:!0},eye:{get:function(){return n.computedEye},set:function(t){return n.lookAt(n.lastT(),t),n.computedEye},enumerable:!0},up:{get:function(){return n.computedUp},set:function(t){return n.lookAt(n.lastT(),null,null,t),n.computedUp},enumerable:!0},distance:{get:function(){return c},set:function(t){return n.setDistance(n.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return n.getDistanceLimits(r)},set:function(t){return 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i=t("right-now"),a=t("3d-view"),o=t("mouse-change"),s=t("mouse-wheel")},{"3d-view":39,"mouse-change":241,"mouse-wheel":245,"right-now":255}],441:[function(t,e,r){"use strict";function n(t,e){for(var r=0;3>r;++r){var n=s[r];e[n]._gd=t}}var i=t("./scene"),a=t("../plots"),o=t("../../constants/xmlns_namespaces"),s=["xaxis","yaxis","zaxis"];r.name="gl3d",r.attr="scene",r.idRoot="scene",r.idRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attrRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attributes=t("./layout/attributes"),r.layoutAttributes=t("./layout/layout_attributes"),r.supplyLayoutDefaults=t("./layout/defaults"),r.plot=function(t){var e=t._fullLayout,r=t._fullData,o=a.getSubplotIds(e,"gl3d");e._paperdiv.style({width:e.width+"px",height:e.height+"px"}),t._context.setBackground(t,e.paper_bgcolor);for(var s=0;sr;++r){var n=t[c[r]];e.labels[r]=o(n.title),"titlefont"in n&&(n.titlefont.color&&(e.labelColor[r]=s(n.titlefont.color)),n.titlefont.family&&(e.labelFont[r]=n.titlefont.family),n.titlefont.size&&(e.labelSize[r]=n.titlefont.size)),"showline"in n&&(e.lineEnable[r]=n.showline),"linecolor"in n&&(e.lineColor[r]=s(n.linecolor)),"linewidth"in n&&(e.lineWidth[r]=n.linewidth),"showgrid"in n&&(e.gridEnable[r]=n.showgrid),"gridcolor"in n&&(e.gridColor[r]=s(n.gridcolor)),"gridwidth"in n&&(e.gridWidth[r]=n.gridwidth), +"log"===n.type?e.zeroEnable[r]=!1:"zeroline"in n&&(e.zeroEnable[r]=n.zeroline),"zerolinecolor"in n&&(e.zeroLineColor[r]=s(n.zerolinecolor)),"zerolinewidth"in n&&(e.zeroLineWidth[r]=n.zerolinewidth),"ticks"in n&&n.ticks?e.lineTickEnable[r]=!0:e.lineTickEnable[r]=!1,"ticklen"in n&&(e.lineTickLength[r]=e._defaultLineTickLength[r]=n.ticklen),"tickcolor"in n&&(e.lineTickColor[r]=s(n.tickcolor)),"tickwidth"in n&&(e.lineTickWidth[r]=n.tickwidth),"tickangle"in n&&(e.tickAngle[r]="auto"===n.tickangle?0:Math.PI*-n.tickangle/180),"showticklabels"in 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r=t[o[e]];this.enabled[e]=r.showspikes,this.colors[e]=a(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness}},e.exports=i},{"../../../lib/str2rgbarray":394}],449:[function(t,e,r){"use strict";function n(t){for(var e=new Array(3),r=0;3>r;++r){for(var n=t[r],i=new Array(n.length),a=0;au;++u){var f=i[s[u]];if(f._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(f._length)===1/0)c[u]=[];else{f.range[0]=r[u].lo/t.dataScale[u],f.range[1]=r[u].hi/t.dataScale[u],f._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),f.range[0]===f.range[1]&&(f.range[0]-=1,f.range[1]+=1);var h=f.tickmode;if("auto"===f.tickmode){f.tickmode="linear";var d=f.nticks||a.Lib.constrain(f._length/40,4,9);a.Axes.autoTicks(f,Math.abs(f.range[1]-f.range[0])/d)}for(var p=a.Axes.calcTicks(f),g=0;gu;++u){l[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]);for(var g=0;2>g;++g)e.bounds[g][u]=t.glplot.bounds[g][u]}t.contourLevels=n(c)}e.exports=i;var a=t("../../../plotly"),o=t("../../../lib/html2unicode"),s=["xaxis","yaxis","zaxis"],l=[0,0,0]},{"../../../lib/html2unicode":381,"../../../plotly":402}],450:[function(t,e,r){"use strict";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;4>r;++r)for(n=0;4>n;++n)i[n]+=t[4*r+n]*e[r];return i}function i(t,e){var r=n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])));return r}e.exports=i},{}],451:[function(t,e,r){"use strict";function n(t){function e(e,r){if("string"==typeof r)return r;var n=t.fullSceneLayout[e];return g.tickText(n,n.c2l(r),"hover").text}var r,n=t.svgContainer,i=t.container.getBoundingClientRect(),a=i.width,o=i.height;n.setAttributeNS(null,"viewBox","0 0 "+a+" "+o),n.setAttributeNS(null,"width",a),n.setAttributeNS(null,"height",o),A(t),t.glplot.axes.update(t.axesOptions);for(var s=Object.keys(t.traces),l=null,c=t.glplot.selection,u=0;ua;++a)l=u[T[a]],_(l);t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]];for(a=0;ao;++o)h[0][o]>h[1][o]?d[o]=1:h[1][o]===h[0][o]?d[o]=1:d[o]=1/(h[1][o]-h[0][o]);for(this.dataScale=d,a=0;aa;++a){if(l=u[T[a]],c=l.type,c in x?(x[c].acc*=d[a],x[c].count+=1):x[c]={acc:d[a],count:1},l.autorange){for(y[0][a]=1/0,y[1][a]=-(1/0),o=0;oy[1][a])y[0][a]=-1,y[1][a]=1;else{var k=y[1][a]-y[0][a];y[0][a]-=k/32,y[1][a]+=k/32}}else{var A=u[T[a]].range;y[0][a]=A[0],y[1][a]=A[1]}y[0][a]===y[1][a]&&(y[0][a]-=1,y[1][a]+=1),b[a]=y[1][a]-y[0][a],this.glplot.bounds[0][a]=y[0][a]*d[a],this.glplot.bounds[1][a]=y[1][a]*d[a]}var M=[1,1,1];for(a=0;3>a;++a){l=u[T[a]],c=l.type;var E=x[c];M[a]=Math.pow(E.acc,1/E.count)/d[a]}var L,S=4;if("auto"===u.aspectmode)L=Math.max.apply(null,M)/Math.min.apply(null,M)<=S?M:[1,1,1];else if("cube"===u.aspectmode)L=[1,1,1];else if("data"===u.aspectmode)L=M;else{if("manual"!==u.aspectmode)throw new Error("scene.js aspectRatio was not one of the enumerated types");var 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h=f.getContext("2d"),d=h.createImageData(r,n);d.data.set(i),h.putImageData(d,0,0);var p;switch(t){case"jpeg":p=f.toDataURL("image/jpeg");break;case"webp":p=f.toDataURL("image/webp");break;default:p=f.toDataURL("image/png")}return this.staticMode&&this.container.removeChild(u),p},e.exports=a},{"../../lib":382,"../../lib/show_no_webgl_msg":392,"../../lib/str2rgbarray":394,"../../plots/cartesian/axes":405,"../../plots/cartesian/graph_interact":412,"../../plots/plots":454,"./camera":440,"./layout/convert":445,"./layout/spikes":448,"./layout/tick_marks":449,"./project":450,"./set_convert":452,"gl-plot3d":183}],452:[function(t,e,r){"use strict";var n=t("../cartesian/axes"),i=function(){};e.exports=function(t){n.setConvert(t),t.setScale=i}},{"../cartesian/axes":405}],453:[function(t,e,r){"use strict";var n=t("../plotly"),i=t("./font_attributes"),a=t("../components/color/attributes"),o=n.Lib.extendFlat;e.exports={font:{family:o({},i.family,{dflt:'"Open Sans", verdana, arial, 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i=k+o.pxmid[0]*e.rCenter+(e.x||0),s=A+o.pxmid[1]*e.rCenter+(e.y||0);e.outside&&(o.yLabelMin=s-r.height/2,o.yLabelMid=s,o.yLabelMax=s+r.height/2,o.labelExtraX=0,o.labelExtraY=0,m=!0),t.attr("transform","translate("+i+","+s+")"+(e.scale<1?"scale("+e.scale+")":"")+(e.rotate?"rotate("+e.rotate+")":"")+"translate("+-(r.left+r.right)/2+","+-(r.top+r.bottom)/2+")")})}),m&&o(l,v),s.each(function(t){if(t.labelExtraX||t.labelExtraY){var e=u.select(this),r=e.select("g.slicetext text");r.attr("transform","translate("+t.labelExtraX+","+t.labelExtraY+")"+r.attr("transform"));var n=t.cxFinal+t.pxmid[0],i=t.cyFinal+t.pxmid[1],a="M"+n+","+i,o=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var s=t.labelExtraX*t.pxmid[1]/t.pxmid[0],l=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);a+=Math.abs(s)>Math.abs(l)?"l"+l*t.pxmid[0]/t.pxmid[1]+","+l+"H"+(n+t.labelExtraX+o):"l"+t.labelExtraX+","+s+"v"+(l-s)+"h"+o}else 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n={};n.plot=t("./convert"),n.attributes=t("./attributes"),n.markerSymbols=t("../../constants/gl_markers"),n.supplyDefaults=t("./defaults"),n.colorbar=t("../scatter/colorbar"),n.calc=t("./calc"),n.moduleType="trace",n.name="scatter3d",n.basePlotModule=t("../../plots/gl3d"),n.categories=["gl3d","symbols","markerColorscale","showLegend"],n.meta={},e.exports=n},{"../../constants/gl_markers":369,"../../plots/gl3d":441,"../scatter/colorbar":559,"./attributes":578,"./calc":579,"./convert":581,"./defaults":582}],584:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../plots/attributes"),a=t("../../components/colorscale/color_attributes"),o=t("../../lib/extend").extendFlat,s=n.marker,l=n.line,c=s.line; +e.exports={lon:{valType:"data_array"},lat:{valType:"data_array"},locations:{valType:"data_array"},locationmode:{valType:"enumerated",values:["ISO-3","USA-states","country names"],dflt:"ISO-3"},mode:o({},n.mode,{dflt:"markers"}),text:o({},n.text,{}),line:{color:l.color,width:l.width,dash:l.dash},marker:o({},{symbol:s.symbol,opacity:s.opacity,size:s.size,sizeref:s.sizeref,sizemin:s.sizemin,sizemode:s.sizemode,showscale:s.showscale,line:o({},{width:c.width},a("marker.line"))},a("marker")),textfont:n.textfont,textposition:n.textposition,hoverinfo:o({},i.hoverinfo,{flags:["lon","lat","location","text","name"]}),_nestedModules:{"marker.colorbar":"Colorbar"}}},{"../../components/colorscale/color_attributes":311,"../../lib/extend":377,"../../plots/attributes":403,"../scatter/attributes":556}],585:[function(t,e,r){"use strict";var n=t("../scatter/marker_colorscale_calc");e.exports=function(t,e){var r=[{x:!1,y:!1,trace:e,t:{}}];return n(e),r}},{"../scatter/marker_colorscale_calc":570}],586:[function(t,e,r){"use strict";function n(t,e,r){var n,i,a=0,o=r("locations");return 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r=t.framework.select(".scattergeolayer").selectAll("g.trace.scattergeo").data(e,function(t){return t.uid});r.enter().append("g").attr("class","trace scattergeo"),r.exit().remove(),r.selectAll("*").remove(),r.each(function(t){var e=s.select(this);g.hasLines(t)&&e.selectAll("path.js-line").data([i(t)]).enter().append("path").classed("js-line",!0)}),r.each(function(e){function r(r,n){if(t.showHover){var i=t.projection([r.lon,r.lat]);h(r),l.loneHover({x:i[0],y:i[1],name:v?e.name:void 0,text:r.textLabel,color:r.mc||(e.marker||{}).color},{container:t.hoverContainer.node()}),y=d(r,n),t.graphDiv.emit("plotly_hover",y)}}function n(e,r){t.graphDiv.emit("plotly_click",d(e,r))}var i=s.select(this),c=g.hasMarkers(e),u=g.hasText(e);if(c||u){var 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e=t.trace,r=e.line||{};s.select(this).call(d.stroke,r.color).call(p.dashLine,r.dash||"",r.width||0)})}},{"../../components/color":303,"../../components/drawing":326,"../../lib/array_to_calc_item":373,"../../lib/geo_location_utils":379,"../../lib/topojson_utils":396,"../../plots/cartesian/axes":405,"../../plots/cartesian/graph_interact":412,"../scatter/subtypes":575,"./attributes":584,d3:113}],589:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../components/colorscale/color_attributes"),a=t("../../constants/gl2d_dashes"),o=t("../../constants/gl_markers"),s=t("../../lib/extend").extendFlat,l=t("../../lib/extend").extendDeep,c=n.line,u=n.marker,f=u.line;e.exports={x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,text:s({},n.text,{}),mode:{valType:"flaglist",flags:["lines","markers"],extras:["none"]},line:{color:c.color,width:c.width,dash:{valType:"enumerated",values:Object.keys(a),dflt:"solid"}},marker:l({},i("marker"),{symbol:{valType:"enumerated",values:Object.keys(o),dflt:"circle",arrayOk:!0},size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,opacity:u.opacity,showscale:u.showscale,line:l({},i("marker.line"),{width:f.width})}),connectgaps:n.connectgaps,fill:s({},n.fill,{values:["none","tozeroy","tozerox"]}),fillcolor:n.fillcolor,_nestedModules:{error_x:"ErrorBars",error_y:"ErrorBars","marker.colorbar":"Colorbar"}}},{"../../components/colorscale/color_attributes":311,"../../constants/gl2d_dashes":367,"../../constants/gl_markers":369,"../../lib/extend":377,"../scatter/attributes":556}],590:[function(t,e,r){"use 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e=this.scene,r=e.xaxis,n=e.yaxis,a=this.bounds,o=this.pickXData=r.makeCalcdata(t,"x").slice(),l=this.pickYData=n.makeCalcdata(t,"y").slice();this.xData=o.slice(),this.yData=l.slice();var u,f,h,d,p,g,v,m,b=y.calcFromTrace(t,e.fullLayout),x=o.length,_=new Array(x),k=new Float32Array(2*x),A=new Float32Array(4*x),M=new Float32Array(4*x),T=0,E=0,S=0,z=0,P="log"===r.type?function(t){return r.d2l(t)}:function(t){return t},R="log"===n.type?function(t){return n.d2l(t)}:function(t){return t};for(u=0;x>u;++u)this.xData[u]=h=P(o[u]),this.yData[u]=d=R(l[u]),isNaN(h)||isNaN(d)||(_[T++]=u,k[E++]=h,k[E++]=d,p=A[S++]=h-b[u].xs||0,g=A[S++]=b[u].xh-h||0,A[S++]=0,A[S++]=0,M[z++]=0,M[z++]=0,v=M[z++]=d-b[u].ys||0,m=M[z++]=b[u].yh-d||0,a[0]=Math.min(a[0],h-p),a[1]=Math.min(a[1],d-v),a[2]=Math.max(a[2],h+g),a[3]=Math.max(a[3],d+m));k=c(k,E),this.idToIndex=_,this.updateLines(t,k),this.updateError("X",t,k,A),this.updateError("Y",t,k,M);var 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n={};n.attributes=t("./attributes"),n.supplyDefaults=t("./defaults"),n.colorbar=t("./colorbar"),n.calc=t("./calc"),n.plot=t("./convert"),n.moduleType="trace",n.name="surface",n.basePlotModule=t("../../plots/gl3d"),n.categories=["gl3d","noOpacity"],n.meta={},e.exports=n},{"../../plots/gl3d":441,"./attributes":601,"./calc":602,"./colorbar":603,"./convert":604,"./defaults":605}]},{},[12])(12)}); \ No newline at end of file diff --git a/inst/plotlyjs.R b/inst/plotlyjs.R index 6f9d4adb45..01145f6f36 100644 --- a/inst/plotlyjs.R +++ b/inst/plotlyjs.R @@ -36,12 +36,8 @@ update_attributes <- function(path = ".") { remDr$open(silent = TRUE) htmlwidgets::saveWidget(plotly::plot_ly(), "index.html") remDr$navigate(file.path(getwd(), "index.html")) - traces <- remDr$executeScript("return Plotly.PlotSchema.get().traces") - devtools::use_data(traces, overwrite = TRUE, internal = TRUE) + Schema <- remDr$executeScript("return Plotly.PlotSchema.get()") + devtools::use_data(Schema, overwrite = TRUE, internal = TRUE) } - update_attributes() - - - diff --git a/man/add_chull.Rd b/man/add_chull.Rd deleted file mode 100644 index 2aed49d33c..0000000000 --- a/man/add_chull.Rd +++ /dev/null @@ -1,14 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/add.R -\name{add_chull} -\alias{add_chull} -\usage{ -add_chull(p, ...) -} -\examples{ - -x <- rnorm(10) -plot_ly(x = ~x) \%>\% - add_chull() -} - diff --git a/man/add_lines.Rd b/man/add_lines.Rd new file mode 100644 index 0000000000..297ddeb890 --- /dev/null +++ b/man/add_lines.Rd @@ -0,0 +1,12 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/add.R +\name{add_lines} +\alias{add_lines} +\title{Add lines to a plotly vis} +\usage{ +add_lines(p, ...) +} +\description{ +Add lines to a plotly vis +} + diff --git a/man/add_points.Rd b/man/add_points.Rd new file mode 100644 index 0000000000..95881b810d --- /dev/null +++ b/man/add_points.Rd @@ -0,0 +1,12 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/add.R +\name{add_points} +\alias{add_points} +\title{Add points to a plotly vis} +\usage{ +add_points(p, ...) +} +\description{ +Add points to a plotly vis +} + diff --git a/man/add_polygons.Rd b/man/add_polygons.Rd index 11c2df88be..1fd7019747 100644 --- a/man/add_polygons.Rd +++ b/man/add_polygons.Rd @@ -2,9 +2,13 @@ % Please edit documentation in R/add.R \name{add_polygons} \alias{add_polygons} +\title{Add polygons to a plotly vis} \usage{ add_polygons(p, ...) } +\description{ +Add polygons to a plotly vis +} \examples{ library(dplyr) diff --git a/man/add_ribbons.Rd b/man/add_ribbons.Rd new file mode 100644 index 0000000000..32f5084b57 --- /dev/null +++ b/man/add_ribbons.Rd @@ -0,0 +1,12 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/add.R +\name{add_ribbons} +\alias{add_ribbons} +\title{Add ribbons to a plotly vis} +\usage{ +add_ribbons(p, ...) +} +\description{ +Ribbons are a special case of polygons. +} + diff --git a/man/add_text.Rd b/man/add_text.Rd new file mode 100644 index 0000000000..71c4f3e142 --- /dev/null +++ b/man/add_text.Rd @@ -0,0 +1,12 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/add.R +\name{add_text} +\alias{add_text} +\title{Add text to a plotly vis} +\usage{ +add_text(p, ...) +} +\description{ +Add text to a plotly vis +} + diff --git a/man/add_trace.Rd b/man/add_trace.Rd index ec99bd8529..09e7296dc5 100644 --- a/man/add_trace.Rd +++ b/man/add_trace.Rd @@ -5,7 +5,7 @@ \title{Add a trace to a plotly visualization} \usage{ add_trace(p, ..., color, colors = NULL, symbol, symbols = NULL, size, - data = NULL) + linetype, linetypes = NULL, data = NULL) } \arguments{ \item{p}{a plotly or ggplot object.} diff --git a/man/explain_attrs.Rd b/man/explain_attrs.Rd index af8bd62185..f9462c0396 100644 --- a/man/explain_attrs.Rd +++ b/man/explain_attrs.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/helpers.R +% Please edit documentation in R/debug.R \name{explain_attrs} \alias{explain_attrs} \title{Show information about attribute(s) of a given trace type} diff --git a/man/plot_ly.Rd b/man/plot_ly.Rd index 0fb5e7f4de..7eb47b2835 100644 --- a/man/plot_ly.Rd +++ b/man/plot_ly.Rd @@ -5,8 +5,8 @@ \title{Initiate a plotly visualization} \usage{ plot_ly(data = data.frame(), ..., type = NULL, color, colors = NULL, - symbol, symbols = NULL, size, width = NULL, height = NULL, - source = "A") + symbol, symbols = NULL, size, linetype, linetypes = NULL, width = NULL, + height = NULL, source = "A") } \arguments{ \item{data}{A data frame (optional).} @@ -24,11 +24,14 @@ or a color interpolation function like \code{colorRamp()}.} \item{symbol}{Either a variable name or a (discrete) vector to use for symbol encoding.} -\item{symbols}{A character vector of symbol types. Possible values: -'dot', 'cross', 'diamond', 'square', 'triangle-down', 'triangle-left', 'triangle-right', 'triangle-up'} +\item{symbols}{A character vector of symbol types. For possible values, see \link{schema}.} \item{size}{A variable name or numeric vector to encode the size of markers.} +\item{linetype}{Either a variable name or a (discrete) vector to use for linetype encoding.} + +\item{linetypes}{A character vector of line types. For possible values, see \link{schema}.} + \item{width}{Width in pixels (optional, defaults to automatic sizing).} \item{height}{Height in pixels (optional, defaults to automatic sizing).} @@ -57,6 +60,7 @@ layout(p3, font = list(family = "Courier New, monospace")) # using the color argument plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop, mode = "markers") +# smooth gradient between 5 colors plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop, colors = terrain.colors(5), mode = "markers") @@ -66,6 +70,8 @@ decade <- function(x) { } plot_ly(economics, x = ~unemploy / pop, color = ~decade(date), type = "box") +plot_ly(economics, x = ~date, y = ~unemploy / pop, linetype = ~decade(date)) + # sometimes, a data frame isn't fit for the use case... # for 3D surface plots, a numeric matrix is more natural plot_ly(z = volcano, type = "surface") diff --git a/man/plotly_empty.Rd b/man/plotly_empty.Rd index 481a37677d..bdfbc56830 100644 --- a/man/plotly_empty.Rd +++ b/man/plotly_empty.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/helpers.R +% Please edit documentation in R/plotly.R \name{plotly_empty} \alias{plotly_empty} \title{Create a complete empty plotly graph.} diff --git a/man/plotly_json.Rd b/man/plotly_json.Rd new file mode 100644 index 0000000000..babe997b00 --- /dev/null +++ b/man/plotly_json.Rd @@ -0,0 +1,25 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/dev.R +\name{plotly_json} +\alias{plotly_json} +\title{Inspect JSON sent to plotly.js} +\usage{ +plotly_json(p = plot_ly(), jsonedit = interactive(), ...) +} +\arguments{ +\item{p}{a plotly or ggplot object.} + +\item{jsonedit}{use \code{listviewer::jsonedit} to view the JSON?} + +\item{...}{other options passed onto \code{listviewer::jsonedit}} +} +\description{ +This function is useful for obtaining/viewing/debugging JSON +sent to plotly.js. +} +\examples{ + +plotly_json(plot_ly()) +plotly_json(plot_ly(), F) +} + diff --git a/man/plotly_spec.Rd b/man/plotly_spec.Rd index 944f46ba7b..21775de2ef 100644 --- a/man/plotly_spec.Rd +++ b/man/plotly_spec.Rd @@ -1,20 +1,15 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/helpers.R +% Please edit documentation in R/debug.R \name{plotly_spec} \alias{plotly_spec} \title{Obtain JSON sent to plotly.js} \usage{ -plotly_spec(p = plot_ly(), attr = NULL, as = c("json", "plain"), - pretty = TRUE) +plotly_spec(p = plot_ly(), ...) } \arguments{ \item{p}{a plotly or ggplot object.} -\item{attr}{focus on a particular attribute in the spec.} - -\item{as}{in what format should the spec be printed?} - -\item{pretty}{adds indentation whitespace to JSON output.} +\item{...}{other options passed onto \code{listviewer::jsonedit}} } \description{ This function returns the JSON sent to plotly.js which can be useful for @@ -22,6 +17,6 @@ debugging. } \examples{ -plotly_spec(plot_ly(), "data") +plotly_spec(plot_ly()) } diff --git a/man/schema.Rd b/man/schema.Rd new file mode 100644 index 0000000000..f5d8cbc578 --- /dev/null +++ b/man/schema.Rd @@ -0,0 +1,22 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/debug.R, R/dev.R +\name{schema} +\alias{schema} +\title{Display plot schema} +\usage{ +schema() + +schema() +} +\description{ +Display plot schema + +The schema contains valid attributes names, their value type, +default values (if any), and min/max values (if applicable). +} +\examples{ + +schema() +schema() +} + diff --git a/man/toWebGL.Rd b/man/toWebGL.Rd index 082fb79e09..901504b427 100644 --- a/man/toWebGL.Rd +++ b/man/toWebGL.Rd @@ -13,7 +13,7 @@ toWebGL(p, warn = TRUE) a WebGL equivalent?} } \description{ -This function will also build +Convert trace types to WebGL } \examples{ From 3a9ae7a075572bbb150f18a451cdf14580e63c67 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Wed, 15 Jun 2016 15:32:11 -0500 Subject: [PATCH 16/73] fix trace layering logic; avoid hard-coding data_array boxing logic --- NEWS | 4 +- R/add.R | 44 +++++++----- R/ggplotly.R | 2 +- R/helpers.R | 23 +++++++ R/plotly.R | 11 ++- R/plotly_build.R | 30 ++++++--- R/process.R | 3 +- R/utils.R | 157 +++++++++++++++++++++---------------------- man/add_trace.Rd | 20 +++++- man/hide_colorbar.Rd | 15 +++++ 10 files changed, 191 insertions(+), 118 deletions(-) create mode 100644 man/hide_colorbar.Rd diff --git a/NEWS b/NEWS index 252cb8a5e1..fdce699e8f 100644 --- a/NEWS +++ b/NEWS @@ -3,8 +3,8 @@ MAJOR CHANGES & IMPROVEMENTS: * Formulas (instead of plain expressions) are now required when referring to variable names. For example, `plot_ly(mtcars, x = wt, y = mpg, color = vs)` should now be `plot_ly(mtcars, x = ~wt, y = ~mpg, color = ~vs)`. This is a major breaking change, but it is necessary to ensure that evaluation is correct in all contexts (as a result, `evaluate` argument is now deprecated). It also has the benefit of being easier to program with (i.e., writing your own custom functions that wrap `plot_ly()`). For more details, see the [lazyeval vignette](https://github.com/hadley/lazyeval/blob/master/vignettes/lazyeval.Rmd) -* The central object (i.e., the return value and first argument to functions) is now an htmlwidget object (instead of a data frame with a special attribute tracking visual mappings). As a result, plotly objects can now be serialized across R sessions and avoid [memory leak issues](https://github.com/rstudio/shiny/issues/1151). This also implies that arbitrary data manipulation functions can no longer be intermingled inside a plot pipeline, but plotly methods for dplyr's data manipulation verbs are now provided (see `help("plotly-data")` for more details). -* The `group` argument is deprecated. Groups should be added to the data via `dplyr::group_by()`. Also, groupings will no longer create multiple traces (fixes #418, #381, #577). +* The data structure used to represent plotly objects is now an htmlwidget object (instead of a data frame with a special attribute tracking visual mappings). As a result, plotly objects can now be serialized across R sessions and avoid [memory leak issues](https://github.com/rstudio/shiny/issues/1151). This also implies that arbitrary data manipulation functions can no longer be intermingled inside a plot pipeline, but plotly methods for dplyr's data manipulation verbs are now provided (see `help("plotly-data")` for more details). +* The `group` argument is deprecated. Groups should be added to the data via `dplyr::group_by()` (see `help("plotly-data")` for examples). Also, groupings will no longer create multiple traces (fixes #418, #381, #577). * The `inherit` argument is deprecated. Any arguments/attributes specified in `plot_ly()` will automatically be passed along to additional traces added via `add_trace()` (or any of it's `add_*()` siblings). Traces created via `add_trace()` (or, more generally, by any `add_*()` function), will inherit _required_ attributes from parent traces. diff --git a/R/add.R b/R/add.R index cb0f230440..398932cc8c 100644 --- a/R/add.R +++ b/R/add.R @@ -19,7 +19,7 @@ add_data <- function(p, data = NULL) { p } -#' Add a trace to a plotly visualization +#' Add trace(s) to a plotly visualization #' #' @param p a plotly or ggplot object. #' @param ... These arguments are documented in the references section below. @@ -32,6 +32,8 @@ add_data <- function(p, data = NULL) { #' @param symbols A character vector of symbol types. Possible values: #' 'dot', 'cross', 'diamond', 'square', 'triangle-down', 'triangle-left', 'triangle-right', 'triangle-up' #' @param size A variable name or numeric vector to encode the size of markers. +#' @param linetype Either a variable name or a (discrete) vector to use for linetype encoding. +#' @param linetypes A character vector of line types. For possible values, see \link{schema}. #' @param data A data frame to associate with this trace (optional). If not #' provided, arguments are evaluated using the data frame in \code{\link{plot_ly}()}. #' @seealso \code{\link{plot_ly}()} @@ -41,6 +43,18 @@ add_data <- function(p, data = NULL) { #' @examples #' #' p <- plot_ly(economics, x = ~date, y = ~uempmed) +#' p +#' p %>% add_points() +#' p %>% add_lines() +#' p %>% add_text(text = ".") +#' +#' # attributes declared in plot_ly() carry over to downstream traces +#' plot_ly(economics, x = ~date, y = ~uempmed) %>% +#' add_points(color = ~pop) %>% +#' add_lines(line = list(color = "red")) +#' +#' +#' #' # add a loess smoother #' p2 <- add_trace(p, y = ~fitted(loess(uempmed ~ as.numeric(date)))) #' @@ -48,28 +62,27 @@ add_trace <- function(p, ..., color, colors = NULL, symbol, symbols = NULL, size, linetype, linetypes = NULL, data = NULL) { # "native" plotly arguments - argz <- list(...) + attrs <- list(...) + + # tack on "special" arguments + attrs$color <- verify_arg(color) + attrs$symbol <- verify_arg(symbol) + attrs$size <- verify_arg(size) - argz$type <- verify_type(argz$type %||% p$x$attrs[[1]]$type) + attrs$colors <- colors + attrs$symbols <- symbols - if (!is.null(argz[["group"]])) { + if (!is.null(attrs[["group"]])) { warning("The group argument has been deprecated. Use group_by() instead.") } - # tack on "special" arguments - argz$color <- verify_arg(color) - argz$symbol <- verify_arg(symbol) - argz$size <- verify_arg(size) - - argz$colors <- colors - argz$colors <- symbols - p <- add_data(p, data) - # inherit arguments from the "first layer" - new_attrs <- modifyList(p$x$attrs[[1]] %||% list(), argz) + # inherit attributes from the "first layer" + new_attrs <- modifyList(p$x$attrs[[1]] %||% list(), attrs) + p$x$attrs <- c( - p$x$attrs %||% list(), + p$x$attrs %||% list(), setNames(list(new_attrs), p$x$cur_data) ) @@ -94,6 +107,7 @@ add_lines <- function(p, ...) { #' #' @export add_text <- function(p, ...) { + # TODO: throw error if no text attribute is found add_trace(p, type = "scatter", mode = "text", ...) } diff --git a/R/ggplotly.R b/R/ggplotly.R index c4a2050cda..804c47eae5 100644 --- a/R/ggplotly.R +++ b/R/ggplotly.R @@ -700,7 +700,7 @@ gg2list <- function(p, width = NULL, height = NULL, tooltip = "all", source = "A source = source ) # ensure properties are boxed correctly - add_boxed(rm_asis(l)) + rm_asis(l) } diff --git a/R/helpers.R b/R/helpers.R index 5850d53d60..3b35ed14ca 100644 --- a/R/helpers.R +++ b/R/helpers.R @@ -1,3 +1,26 @@ +#' Hide a color bar +#' +#' @param p a plotly object. +#' @export +#' +#' plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop) %>% +#' add_points() %>% +#' hide_colorbar() +hide_colorbar <- function(p) { + idx <- vapply(p$x$data, is.colorbar, logical(1)) + browser() + for (i in which(idx)) { + p$x$data[[i]]$marker$colorbar$showscale <- FALSE + } + p +} + +hide_legend <- function(p) { + layout(p, showlegend = FALSE) +} + + + #' Convert trace types to WebGL #' #' @param p a plotly or ggplot object. diff --git a/R/plotly.R b/R/plotly.R index 2335182aef..d8b21abc11 100644 --- a/R/plotly.R +++ b/R/plotly.R @@ -8,7 +8,8 @@ #' @param data A data frame (optional). #' @param ... These arguments are documented at \url{https://plot.ly/r/reference/} #' Note that acceptable arguments depend on the value of \code{type}. -#' @param type A character string describing the type of trace. +#' @param type A character string describing the type of trace. If \code{NULL} +#' (the default), the initial trace type is determined by \code{add_trace} #' @param color Either a variable name or a vector to use for color mapping. #' @param colors Either a colorbrewer2.org palette name (e.g. "YlOrRd" or "Blues"), #' or a vector of colors to interpolate in hexadecimal "#RRGGBB" format, @@ -66,11 +67,14 @@ plot_ly <- function(data = data.frame(), ..., type = NULL, # warn about old arguments that are no longer supported for (i in c("filename", "fileopt", "world_readable")) { if (is.null(attrs[[i]])) next - warning("Ignoring ", i, ". Use plotly_POST() if you want to post figures to plotly.") + warning("Ignoring ", i, ". Use `plotly_POST()` if you want to post figures to plotly.") attrs[[i]] <- NULL } if (!is.null(attrs[["group"]])) { - warning("The group argument has been deprecated. Use group_by() instead.") + warning( + "The group argument has been deprecated. Use `group_by()` instead.\n", + "See `help('plotly-data')` for examples" + ) attrs[["group"]] <- NULL } if (!is.null(attrs[["inherit"]])) { @@ -87,6 +91,7 @@ plot_ly <- function(data = data.frame(), ..., type = NULL, attrs$colors <- colors attrs$symbols <- symbols attrs$linetypes <- linetypes + attrs$type <- type # id for tracking attribute mappings and finding the most current data id <- new_id() diff --git a/R/plotly_build.R b/R/plotly_build.R index 18cedcaa1d..c754a1a389 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -48,8 +48,16 @@ plotly_build.plotly <- function(p) { p$x$layoutAttrs <- NULL p$x$layout <- modifyList(p$x$layout %||% list(), Reduce(modifyList, layouts) %||% list()) + # If type was not specified in plot_ly(), it doesn't create a trace unless + # there are no other traces + if (length(p$x$attrs) > 1 && is.null(p$x$attrs[[1]][["type"]])) { + p$x$attrs[[1]] <- NULL + } + dats <- Map(function(x, y) { + x$type <- verify_type(x$type) + is_formula <- vapply(x, is.formula, logical(1)) fl <- lazyeval::as_f_list(x[is_formula] %||% list()) d <- plotly_data(p, y) @@ -72,8 +80,6 @@ plotly_build.plotly <- function(p) { } } - x$type <- verify_type(x$type) - x[lengths(x) > 0] }, p$x$attrs, names(p$x$attrs)) @@ -126,7 +132,8 @@ plotly_build.plotly <- function(p) { # verify plot attributes are legal according to the plotly.js spec # (and box attributes data_array attributes where appropriate) - verify_plot(p) + verify_attr_names(p) + verify_boxed(p) } # appends a new (empty) trace to generate (plot-wide) colorbar/colorscale @@ -137,6 +144,10 @@ mapColor <- function(traces, title = "", na.color = "transparent") { if (all(nColors == 0)) { return(traces) } + isNumeric <- vapply(color, is.numeric, logical(1)) + isDiscrete <- vapply(color, is.discrete, logical(1)) + colors <- lapply(traces, "[[", "colors") + # color/colorscale/colorbar attribute placement depends on trace type and marker mode types <- vapply(traces, function(tr) tr$type, character(1)) modes <- vapply(traces, function(tr) { @@ -148,9 +159,6 @@ mapColor <- function(traces, title = "", na.color = "transparent") { hasZ <- !grepl("scatter", types) & any(vapply(traces, function(tr) !is.null(tr$z), logical(1))) - isNumeric <- vapply(color, is.numeric, logical(1)) - colors <- lapply(traces, "[[", "colors") - if (any(isNumeric)) { palette <- compact(colors[isNumeric]) %||% viridisLite::viridis(10) if (is.list(palette) && length(palette) > 1) { @@ -205,11 +213,12 @@ mapColor <- function(traces, title = "", na.color = "transparent") { traces[[length(traces) + 1]] <- structure(colorBarTrace, class = "plotly_colorbar") } - if (any(!isNumeric)) { - allColor <- unlist(color[!isNumeric]) + if (any(isDiscrete)) { + browser() + allColor <- unlist(color[isDiscrete]) lvls <- unique(allColor) N <- length(lvls) - palette <- compact(colors[!isNumeric]) %||% + palette <- compact(colors[isDiscrete]) %||% if (is.ordered(allColor)) viridisLite::viridis(N) else RColorBrewer::brewer.pal(N, "Set2") if (is.list(palette) && length(palette) > 1) { stop("Multiple numeric color palettes specified (via the colors argument).\n", @@ -217,7 +226,7 @@ mapColor <- function(traces, title = "", na.color = "transparent") { call. = FALSE) } colScale <- scales::col_factor(palette, levels = lvls, na.color = na.color) - for (i in which(!isNumeric)) { + for (i in which(isDiscrete)) { if (hasLine[[i]]) { traces[[i]]$line$color <- colScale(color[[i]]) } @@ -227,7 +236,6 @@ mapColor <- function(traces, title = "", na.color = "transparent") { if (hasText[[i]]) { traces[[i]]$textfont$color <- colScale(color[[i]]) } - } } diff --git a/R/process.R b/R/process.R index 864e709c06..c3c4dbfbb7 100644 --- a/R/process.R +++ b/R/process.R @@ -31,8 +31,7 @@ process.plotly_figure <- function(resp) { fig$url <- sub("apigetfile/", "~", resp$url) # make sure that we always return a HTTPS link con$url <- sub("^http[s]?:", "https:", con$url) - fig <- add_boxed(fig) - fig$data[[1]]$inherit <- FALSE + fig <- verify_boxed(fig) as.widget(fig) } diff --git a/R/utils.R b/R/utils.R index 0a8dd55f8f..cddb519ede 100644 --- a/R/utils.R +++ b/R/utils.R @@ -6,6 +6,10 @@ is.formula <- function(f) { inherits(f, "formula") } +is.colorbar <- function(tr) { + inherits(tr, "plotly_colorbar") +} + "%||%" <- function(x, y) { if (length(x) > 0 || is_blank(x)) x else y } @@ -35,38 +39,86 @@ verify_arg <- function(arg) { arg } -# make sure plot attributes are valid according to the plotly.js schema -verify_plot <- function(p) { +# make sure plot attributes adhere to the plotly.js schema +verify_attr_names <- function(p) { # some layout attributes (e.g., [x-y]axis can have trailing numbers) - layoutAttrs <- sub("[0-9]+$", "", names(p$x$layout)) - validLayoutAttrs <- names(Schema$layout$layoutAttributes) - illegalLayoutAttrs <- setdiff(layoutAttrs, validLayoutAttrs) - if (length(illegalLayoutAttrs)) { - stop("The following layout attributes don't exist:\n'", - paste(illegalLayoutAttrs, collapse = "', '"), "'\n", - "Valid layout attributes include:\n'", - paste(validLayoutNames, collapse = "', '"), "'\n", - call. = FALSE) + check_attrs( + sub("[0-9]+$", "", names(p$x$layout)), + names(Schema$layout$layoutAttributes) + ) + for (tr in seq_along(p$x$data)) { + thisTrace <- p$x$data[[tr]] + validAttrs <- Schema$traces[[thisTrace$type]]$attributes + check_attrs(names(thisTrace), names(validAttrs)) } - - traceTypes <- unlist(lapply(p$x$data, "[[", "type")) - validTraceTypes <- names(Schema$traces) - illegalTraceTypes <- setdiff(traceTypes, validTraceTypes) - if (length(illegalTraceTypes)) { - stop("The following trace types don't exist:\n'", - paste(illegalTraceTypes, collapse = "', '"), "'\n", - "Valid layout attributes include:\n'", - paste(validTraceTypes, collapse = "', '"), "'\n", + invisible(p) +} + +check_attrs <- function(proposedAttrs, validAttrs) { + illegalAttrs <- setdiff(proposedAttrs, validAttrs) + if (length(illegalAttrs)) { + stop("The following attributes don't exist:\n'", + paste(illegalAttrs, collapse = "', '"), "'\n", + "Valid options include:\n'", + paste(validAttrs, collapse = "', '"), "'\n", call. = FALSE) } - invisible(p) + invisible(proposedAttrs) +} + +# ensure both the layout and trace attributes are sent to plotly.js +# as data_arrays +verify_boxed <- function(p) { + layoutNames <- names(p$x$layout) + layoutNew <- verify_box( + setNames(p$x$layout, sub("[0-9]+$", "", layoutNames)), + Schema$layout$layoutAttributes + ) + p$x$layout <- setNames(layoutNew, layoutNames) + for (tr in seq_along(p$x$data)) { + thisTrace <- p$x$data[[tr]] + validAttrs <- Schema$traces[[thisTrace$type]]$attributes + p$x$data[[tr]] <- verify_box(thisTrace, validAttrs) + } + p +} + +verify_box <- function(proposed, schema) { + for (attr in names(proposed)) { + attrVal <- proposed[[attr]] + attrSchema <- schema[[attr]] + isArray <- tryCatch( + identical(attrSchema[["valType"]], "data_array"), + error = function(e) FALSE + ) + isObject <- tryCatch( + identical(attrSchema[["role"]], "object"), + error = function(e) FALSE + ) + if (isArray) { + proposed[[attr]] <- i(attrVal) + } + # we don't have to go more than two-levels, right? + if (isObject) { + for (attr2 in names(attrVal)) { + isArray2 <- tryCatch( + identical(attrSchema[[attr2]][["valType"]], "data_array"), + error = function(e) FALSE + ) + if (isArray2) { + proposed[[attr]][[attr2]] <- i(attrVal[[attr2]]) + } + } + } + } + proposed } # make sure trace type is valid # TODO: add an argument to verify trace properties are valid (https://github.com/ropensci/plotly/issues/540) verify_type <- function(type = NULL) { if (is.null(type)) { - message("No trace type specified. Guessing you want a 'scatter' trace") + message("No trace type specified. Using the default 'scatter'") type <- "scatter" } if (!is.character(type) || length(type) != 1) { @@ -81,20 +133,6 @@ verify_type <- function(type = NULL) { type } -# verify_attrs <- function(type = NULL, attributes = NULL) { -# type <- verify_type(type) -# attrs <- traces[[type]]$attributes -# idx <- attributes %in% names(attrs) -# if (any(!idx)) { -# stop( -# "The '", type, "' trace type doesn't have attribute(s) named: '", -# paste(attributes[!idx], collapse = "', '"), "'", call. = FALSE -# ) -# } -# attrs[attributes] -# } - - has_marker <- function(types, modes) { is_scatter <- grepl("scatter", types) ifelse(is_scatter, grepl("marker", modes), has_attr(types, "marker")) @@ -128,7 +166,7 @@ has_legend <- function(p) { has_colorbar <- function(p) { isVisibleBar <- function(tr) { - inherits(tr, "plotly_colorbar") && isTRUE(tr$showscale %||% TRUE) + is.colorbar(tr) && isTRUE(tr$showscale %||% TRUE) } any(vapply(p$x$data, isVisibleBar, logical(1))) } @@ -186,51 +224,6 @@ from_JSON <- function(x, ...) { jsonlite::fromJSON(x, simplifyDataFrame = FALSE, simplifyMatrix = FALSE, ...) } -add_boxed <- function(x) { - for (i in seq_along(x$data)) { - # some object keys require an array, even if length one - # one way to ensure atomic vectors of length 1 are not automatically unboxed, - # by to_JSON(), is to attach a class of AsIs (via I()) - d <- x$data[[i]] - idx <- names(d) %in% get_boxed(d$type %||% "scatter") & sapply(d, length) == 1 - if (any(idx)) x$data[[i]][idx] <- lapply(d[idx], I) - # (safely) mark individual nested properties - x$data[[i]]$error_x$array <- i(d$error_x$array) - x$data[[i]]$error_y$array <- i(d$error_y$array) - x$data[[i]]$error_x$arrayminus <- i(d$error_x$arrayminus) - x$data[[i]]$error_y$arrayminus <- i(d$error_y$arrayminus) - } - axes <- grep("^[x-y]axis", names(x$layout)) - for (ax in axes) { - x$layout[[ax]]$ticktext <- i(x$layout[[ax]]$ticktext) - x$layout[[ax]]$tickvals <- i(x$layout[[ax]]$tickvals) - } - x -} - -# plotlyjs properties that must _always_ be an array (even if length 1) -get_boxed <- function(type = "scatter") { - # if the trace type isn't found, provide some sensible defaults - boxers[[type]] %||% c("x", "y", "z", "lat", "lon", "text", "locations") -} - -# if this ever needs updating see -# https://github.com/ropensci/plotly/issues/415#issuecomment-173353138 -boxers <- list( - choropleth = c("locations", "z", "text"), - box = c("x", "y"), - heatmap = c("z", "text"), - histogram = c("x", "y"), - histogram2d = c("z", "color"), - mesh3d = c("x", "y", "z", "i", "j", "k", "intensity", "vertexcolor", "facecolor"), - # TODO: what to do about marker.colors? - pie = c("labels", "values", "text"), - scatter = c("x", "y", "r", "t"), - scatter3d = c("x", "y", "z"), - scattergeo = c("lon", "lat", "locations"), - surface = c("x", "y", "z", "text") -) - i <- function(x) { if (is.null(x)) { return(NULL) diff --git a/man/add_trace.Rd b/man/add_trace.Rd index 09e7296dc5..a9762c8cf6 100644 --- a/man/add_trace.Rd +++ b/man/add_trace.Rd @@ -2,7 +2,7 @@ % Please edit documentation in R/add.R \name{add_trace} \alias{add_trace} -\title{Add a trace to a plotly visualization} +\title{Add trace(s) to a plotly visualization} \usage{ add_trace(p, ..., color, colors = NULL, symbol, symbols = NULL, size, linetype, linetypes = NULL, data = NULL) @@ -26,15 +26,31 @@ or a color interpolation function like \code{colorRamp}.} \item{size}{A variable name or numeric vector to encode the size of markers.} +\item{linetype}{Either a variable name or a (discrete) vector to use for linetype encoding.} + +\item{linetypes}{A character vector of line types. For possible values, see \link{schema}.} + \item{data}{A data frame to associate with this trace (optional). If not provided, arguments are evaluated using the data frame in \code{\link{plot_ly}()}.} } \description{ -Add a trace to a plotly visualization +Add trace(s) to a plotly visualization } \examples{ p <- plot_ly(economics, x = ~date, y = ~uempmed) +p +p \%>\% add_points() +p \%>\% add_lines() +p \%>\% add_text(text = ".") + +# attributes declared in plot_ly() carry over to downstream traces +plot_ly(economics, x = ~date, y = ~uempmed) \%>\% + add_points(color = ~pop) \%>\% + add_lines(line = list(color = "red")) + + + # add a loess smoother p2 <- add_trace(p, y = ~fitted(loess(uempmed ~ as.numeric(date)))) diff --git a/man/hide_colorbar.Rd b/man/hide_colorbar.Rd new file mode 100644 index 0000000000..14ddffe2b6 --- /dev/null +++ b/man/hide_colorbar.Rd @@ -0,0 +1,15 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/helpers.R +\name{hide_colorbar} +\alias{hide_colorbar} +\title{Hide a color bar} +\usage{ +hide_colorbar(p) +} +\arguments{ +\item{p}{a plotly object.} +} +\description{ +Hide a color bar +} + From bdc27d1bb200993752ecf16b3922af717e58dd44 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Thu, 16 Jun 2016 16:25:25 -0500 Subject: [PATCH 17/73] Use rapply to evaluate formulas of arbitrary depth --- R/plotly_build.R | 138 +++++++++++++++++++++++++++-------------------- 1 file changed, 79 insertions(+), 59 deletions(-) diff --git a/R/plotly_build.R b/R/plotly_build.R index c754a1a389..cb75c1ac35 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -20,8 +20,8 @@ plotly_build <- function(p) { } #' @export -plotly_build.default <- function(p) { - p +plotly_build.list <- function(p) { + as.widget(p) } #' @export @@ -34,11 +34,9 @@ plotly_build.plotly <- function(p) { layouts <- Map(function(x, y) { - is_formula <- vapply(x, is.formula, logical(1)) - fl <- lazyeval::as_f_list(x[is_formula] %||% list()) - for (var in names(fl)) { - x[[var]] <- lazyeval::f_eval(fl[[var]], plotly_data(p, y)) - } + d <- plotly_data(p, y) + + x <- rapply(x, eval_attr, data = d, how = "list") x[lengths(x) > 0] }, p$x$layoutAttrs, names(p$x$layoutAttrs)) @@ -46,7 +44,7 @@ plotly_build.plotly <- function(p) { # get rid of the data -> layout mapping and merge all the layouts # into a single layout (more recent layouts will override older ones) p$x$layoutAttrs <- NULL - p$x$layout <- modifyList(p$x$layout %||% list(), Reduce(modifyList, layouts) %||% list()) + p$x$layout <- modify_list(p$x$layout, Reduce(modify_list, layouts)) # If type was not specified in plot_ly(), it doesn't create a trace unless # there are no other traces @@ -58,29 +56,33 @@ plotly_build.plotly <- function(p) { x$type <- verify_type(x$type) - is_formula <- vapply(x, is.formula, logical(1)) - fl <- lazyeval::as_f_list(x[is_formula] %||% list()) d <- plotly_data(p, y) - grps <- dplyr::groups(d) - # insert missing values to differentiate groups - if (length(grps) > 0) { - d <- group2NA(d, groupNames = as.character(grps)) - } - # perform the evaluation - for (var in names(fl)) { - x[[var]] <- lazyeval::f_eval(fl[[var]], d) - varname <- sub("^~", "", deparse2(fl[[var]])) - # deparse axis names and add to layout - if (any(c("x", "y", "z") %in% var)) { + + # add sensible axis names to layout + for (i in c("x", "y", "z")) { + nm <- paste0(i, "axis") + idx <- which(names(x) %in% i) + if (length(idx) == 1) { + title <- sub("^~", "", deparse2(x[[idx]])) if (is3d(x$type)) { - p$x$layout$scene[[paste0(var, "axis")]]$title <<- varname + p$x$layout$scene[[nm]]$title <- title } else { - p$x$layout[[paste0(var, "axis")]]$title <<- varname + p$x$layout[[nm]]$title <- title } } } - x[lengths(x) > 0] + # perform the evaluation + x <- rapply(x, eval_attr, data = d, how = "list") + + attrLengths <- lengths(x) + + # if appropriate, set the mode now since we need to reference it later + if (grepl("scatter", x$type)) { + x$mode <- if (any(attrLengths > 20)) "lines" else "markers+lines" + } + + x[attrLengths > 0] }, p$x$attrs, names(p$x$attrs)) @@ -95,6 +97,10 @@ plotly_build.plotly <- function(p) { traces <- list() for (i in seq_along(dats)) { d <- dats[[i]] + # no longer need these special variable mapping attributes + for (j in c("color", "colors", "symbol", "symbols", "linetype", "linetypes")) { + dats[[i]][[j]] <- NULL + } params <- list( if (is.discrete(d[["color"]])) d[["color"]], d[["symbol"]], @@ -102,8 +108,6 @@ plotly_build.plotly <- function(p) { ) params <- compact(params) %||% list(NULL) idx <- do.call("interaction", params) - dats[[i]][["color"]] <- NULL - dats[[i]][["symbol"]] <- NULL traces <- c(traces, traceify(dats[[i]], idx)) } @@ -114,26 +118,35 @@ plotly_build.plotly <- function(p) { # get rid of data -> vis mapping stuff p$x[c("visdat", "cur_data", "attrs")] <- NULL - if (has_legend(p) && has_colorbar(p)) { - # shrink the colorbar - idx <- which(vapply(p$x$data, function(x) inherits(x, "plotly_colorbar"), logical(1))) - p$x$data[[idx]]$marker$colorbar <- modifyList( - p$x$data[[idx]]$marker$colorbar %||% list(), - list(len = 1/2, lenmode = "fraction", y = 1, yanchor = "top") - ) - p$x$layout$legend <- modifyList( - p$x$layout$legend %||% list(), - list(y = 1/2, yanchor = "top") - ) + if (has_colorbar(p) && has_legend(p)) { + if (length(p$x$data) <= 2) { + p$x$layout$showlegend <- FALSE + } else { + # shrink the colorbar + idx <- which(vapply(p$x$data, function(x) inherits(x, "plotly_colorbar"), logical(1))) + p$x$data[[idx]]$marker$colorbar <- modify_list( + list(len = 1/2, lenmode = "fraction", y = 1, yanchor = "top"), + p$x$data[[idx]]$marker$colorbar + ) + p$x$layout$legend <- modify_list( + list(y = 1/2, yanchor = "top"), + p$x$layout$legend + ) + } } # traces can't have names p$x$data <- setNames(p$x$data, NULL) # verify plot attributes are legal according to the plotly.js spec - # (and box attributes data_array attributes where appropriate) verify_attr_names(p) + # box up 'data_array' attributes where appropriate verify_boxed(p) + # if it makes sense, add markers/lines/text to mode + verify_mode(p) + # annotations & shapes must be an array of objects + # TODO: should we add anything else to this? + verify_arrays(p) } # appends a new (empty) trace to generate (plot-wide) colorbar/colorscale @@ -146,13 +159,10 @@ mapColor <- function(traces, title = "", na.color = "transparent") { } isNumeric <- vapply(color, is.numeric, logical(1)) isDiscrete <- vapply(color, is.discrete, logical(1)) - colors <- lapply(traces, "[[", "colors") # color/colorscale/colorbar attribute placement depends on trace type and marker mode types <- vapply(traces, function(tr) tr$type, character(1)) - modes <- vapply(traces, function(tr) { - tr$mode %||% if (any(lengths(tr) > 20)) "lines" else "markers+lines" - }, character(1)) + modes <- vapply(traces, function(tr) tr$mode, character(1)) hasMarker <- has_marker(types, modes) hasLine <- has_line(types, modes) hasText <- has_text(types, modes) @@ -160,12 +170,7 @@ mapColor <- function(traces, title = "", na.color = "transparent") { any(vapply(traces, function(tr) !is.null(tr$z), logical(1))) if (any(isNumeric)) { - palette <- compact(colors[isNumeric]) %||% viridisLite::viridis(10) - if (is.list(palette) && length(palette) > 1) { - stop("Multiple numeric color palettes specified (via the colors argument).\n", - "When using the color/colors arguments, only one palette is allowed.", - call. = FALSE) - } + palette <- traces[[1]]$colors %||% viridisLite::viridis(10) # TODO: use ggstat::frange() when it's on CRAN? allColor <- unlist(color[isNumeric]) rng <- range(allColor, na.rm = TRUE) @@ -183,13 +188,18 @@ mapColor <- function(traces, title = "", na.color = "transparent") { for (i in which(isNumeric)) { colorObj$color <- color[[i]] if (hasLine[[i]]) { - traces[[i]]$line <- modifyList(traces[[i]]$line %||% list(), colorObj) + if (types[[i]] %in% c("scatter", "scattergl")) { + warning("Numeric color variables cannot (yet) be mapped to lines.\n", + " when the trace type is 'scatter' or 'scattergl'.\n", call. = FALSE) + traces[[i]]$mode <- "markers" + hasMarker[[i]] <- TRUE + } } if (hasMarker[[i]]) { - traces[[i]]$marker <- modifyList(traces[[i]]$marker %||% list(), colorObj) + traces[[i]]$marker <- modify_list(colorObj, traces[[i]]$marker) } if (hasZ[[i]]) { - traces[[i]] <- modifyList(traces[[i]] %||% list(), colorObj) + traces[[i]] <- modify_list(colorObj, traces[[i]]) } if (hasText[[i]]) { warning("Numeric color variables cannot (yet) be mapped to text.\n", @@ -214,11 +224,10 @@ mapColor <- function(traces, title = "", na.color = "transparent") { } if (any(isDiscrete)) { - browser() allColor <- unlist(color[isDiscrete]) lvls <- unique(allColor) N <- length(lvls) - palette <- compact(colors[isDiscrete]) %||% + palette <- traces[[1]]$colors %||% if (is.ordered(allColor)) viridisLite::viridis(N) else RColorBrewer::brewer.pal(N, "Set2") if (is.list(palette) && length(palette) > 1) { stop("Multiple numeric color palettes specified (via the colors argument).\n", @@ -228,13 +237,22 @@ mapColor <- function(traces, title = "", na.color = "transparent") { colScale <- scales::col_factor(palette, levels = lvls, na.color = na.color) for (i in which(isDiscrete)) { if (hasLine[[i]]) { - traces[[i]]$line$color <- colScale(color[[i]]) + traces[[i]]$line <- modify_list( + list(color = colScale(color[[i]])), + traces[[i]]$line + ) } if (hasMarker[[i]]) { - traces[[i]]$marker$color <- colScale(color[[i]]) + traces[[i]]$marker <- modify_list( + list(color = colScale(color[[i]])), + traces[[i]]$marker + ) } if (hasText[[i]]) { - traces[[i]]$textfont$color <- colScale(color[[i]]) + traces[[i]]$textfont <- modify_list( + list(color = colScale(color[[i]])), + traces[[i]]$textfont + ) } } } @@ -285,8 +303,6 @@ mapSymbol <- function(traces) { traces } - - mapLinetype <- function(traces) { linetypeList <- lapply(traces, "[[", "linetype") nLinetypes <- lengths(linetypeList) @@ -325,7 +341,6 @@ mapLinetype <- function(traces) { message("Adding lines to mode; otherwise linetype would have no effect.") traces[[i]]$mode <- paste0(traces[[i]]$mode, "+lines") } - } traces } @@ -351,3 +366,8 @@ traceify <- function(dat, x = NULL) { } return(new_dat) } + + +eval_attr <- function(x, data = NULL) { + if (lazyeval::is_formula(x)) lazyeval::f_eval(x, data) else x +} From 7688a57283757902b511e8758ab0c3ab73ed66fa Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Thu, 16 Jun 2016 16:26:08 -0500 Subject: [PATCH 18/73] export group_by --- R/plotly_data.R | 17 +++++++++++++++-- man/group_by.Rd | 18 ++++++++++++++++++ 2 files changed, 33 insertions(+), 2 deletions(-) create mode 100644 man/group_by.Rd diff --git a/R/plotly_data.R b/R/plotly_data.R index 3333369e82..cc87a8f564 100644 --- a/R/plotly_data.R +++ b/R/plotly_data.R @@ -1,3 +1,16 @@ +#' Divide data into groups. +#' +#' @param x a visualisation +#' @param ... variables to group by. +#' @param add By default, when \code{add = FALSE}, \code{group_by} will +#' override existing groups. To instead add to the existing groups, +#' use \code{add = TRUE} +#' @importFrom dplyr group_by +#' @name group_by +#' @export +NULL + + #' View and manipulate data associated with a plotly graph #' #' \code{plotly_data()} returns the data associated with @@ -156,8 +169,8 @@ group2NA <- function(data, groupNames = "group", nested = NULL, } else { dplyr::do(d, rbind(., NA)) } - d <- tidyr::unnest(d) + d <- tidyr::unnest(d, groupNames) n <- nrow(d) - if (all(is.na(d[n, ]))) d <- d[-n, ] + if (all(is.na(d[n, !groupNames %in% names(d)]))) d <- d[-n, ] structure(d, class = unique(class(data), class(d))) } diff --git a/man/group_by.Rd b/man/group_by.Rd new file mode 100644 index 0000000000..c2cb5f39e0 --- /dev/null +++ b/man/group_by.Rd @@ -0,0 +1,18 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/plotly_data.R +\name{group_by} +\alias{group_by} +\title{Divide data into groups.} +\arguments{ +\item{x}{a visualisation} + +\item{...}{variables to group by.} + +\item{add}{By default, when \code{add = FALSE}, \code{group_by} will +override existing groups. To instead add to the existing groups, +use \code{add = TRUE}} +} +\description{ +Divide data into groups. +} + From ed1e4fc17fc27c03b24c28a6a34e15772d3b6d09 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Thu, 16 Jun 2016 16:27:27 -0500 Subject: [PATCH 19/73] various bug fixes; updates to docs/tests --- NAMESPACE | 4 ++- NEWS | 15 ++++---- R/add.R | 17 ++------- R/ggplotly.R | 7 ++-- R/helpers.R | 4 +-- R/layers2traces.R | 3 +- R/layout.R | 8 ++++- R/plotly_POST.R | 1 + R/subplots.R | 4 +-- R/toRGB.R | 3 +- R/utils.R | 50 ++++++++++++++++++++++++-- inst/examples/onRenderHover/index.Rmd | 17 ++++----- man/add_trace.Rd | 18 ++-------- man/plot_ly.Rd | 3 +- tests/testthat/test-cookbook-lines.R | 1 + tests/testthat/test-ggplot-area.R | 2 +- tests/testthat/test-ggplot-density2d.R | 2 +- tests/testthat/test-ggplot-errorbar.R | 4 +-- tests/testthat/test-ggplot-point.R | 9 ----- tests/testthat/test-ggplot-violin.R | 2 +- 20 files changed, 97 insertions(+), 77 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index 0e294e6bea..bada3d039e 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -18,8 +18,8 @@ S3method(ggplotly,ggplot) S3method(group_by_,plotly) S3method(layout,matrix) S3method(layout,plotly) -S3method(plotly_build,default) S3method(plotly_build,gg) +S3method(plotly_build,list) S3method(plotly_build,plotly) S3method(print,plotly_figure) S3method(to_basic,GeomAbline) @@ -66,6 +66,7 @@ export(geom2trace) export(get_figure) export(gg2list) export(ggplotly) +export(group_by) export(groups.plotly) export(knit_print.plotly_figure) export(layout) @@ -100,6 +101,7 @@ importFrom(base64enc,base64encode) importFrom(dplyr,arrange_) importFrom(dplyr,distinct_) importFrom(dplyr,do) +importFrom(dplyr,group_by) importFrom(dplyr,group_by_) importFrom(grDevices,col2rgb) importFrom(graphics,layout) diff --git a/NEWS b/NEWS index fdce699e8f..2bd7302f48 100644 --- a/NEWS +++ b/NEWS @@ -1,19 +1,18 @@ 4.0.0 -MAJOR CHANGES & IMPROVEMENTS: +BREAKING CHANGES & IMPROVEMENTS: -* Formulas (instead of plain expressions) are now required when referring to variable names. For example, `plot_ly(mtcars, x = wt, y = mpg, color = vs)` should now be `plot_ly(mtcars, x = ~wt, y = ~mpg, color = ~vs)`. This is a major breaking change, but it is necessary to ensure that evaluation is correct in all contexts (as a result, `evaluate` argument is now deprecated). It also has the benefit of being easier to program with (i.e., writing your own custom functions that wrap `plot_ly()`). For more details, see the [lazyeval vignette](https://github.com/hadley/lazyeval/blob/master/vignettes/lazyeval.Rmd) +* Formulas (instead of plain expressions) are now required when using variable mappings. For example, `plot_ly(mtcars, x = wt, y = mpg, color = vs)` should now be `plot_ly(mtcars, x = ~wt, y = ~mpg, color = ~vs)`. This is a major breaking change, but it is necessary to ensure that evaluation is correct in all contexts (as a result, `evaluate` argument is now deprecated as it is no longer needed). It also has the benefit of being easier to program with (i.e., writing your own custom functions that wrap `plot_ly()`). For more details, see the [lazyeval vignette](https://github.com/hadley/lazyeval/blob/master/vignettes/lazyeval.Rmd) * The data structure used to represent plotly objects is now an htmlwidget object (instead of a data frame with a special attribute tracking visual mappings). As a result, plotly objects can now be serialized across R sessions and avoid [memory leak issues](https://github.com/rstudio/shiny/issues/1151). This also implies that arbitrary data manipulation functions can no longer be intermingled inside a plot pipeline, but plotly methods for dplyr's data manipulation verbs are now provided (see `help("plotly-data")` for more details). -* The `group` argument is deprecated. Groups should be added to the data via `dplyr::group_by()` (see `help("plotly-data")` for examples). Also, groupings will no longer create multiple traces (fixes #418, #381, #577). +* The `group` variable mapping no longer create multiple traces, but instead defines "gaps" within a trace (fixes #418, #381, #577). Groupings should be declared via the new `group_by()` function (for examples, see `help("plotly-data")`) instead of the `group` argument (which is now deprecated). +* Scales for variable mappings (such as `color`, `symbol`, `linetype`) are now applied at the plot-level instead of the trace level. As a result, the `colors`/`symbols` arguments have been removed from `add_trace()`. * The `inherit` argument is deprecated. Any arguments/attributes specified in `plot_ly()` will automatically be passed along to additional traces added via `add_trace()` (or any of it's `add_*()` siblings). -Traces created via `add_trace()` (or, more generally, by any `add_*()` function), will inherit _required_ attributes from parent traces. - - NEW FEATURES & IMPROVEMENTS: -* Error checking for trace types and their attributes. Also added a `explain_attrs()` function to obtain information about trace attributes. -* New `add_points()`/`add_lines()`/`add_text()` functions provide a shorthand for common plots. +* Error checking for trace and layout attributes. +* Added `linetype`/`linetypes` arguments for mapping discrete variables to line types (this works very much like the `symbol`/`symbols`). +* New `add_points()`/`add_lines()`/`add_text()`/`add_polygon`/`add_ribbon()` functions provide a shorthand for common plots. * New `toWebGL()` function for easy conversion from SVG to WebGL. * New `export()` function makes it easy to save plots as png/jpeg/pdf (fixes #311). * `layout()` is now a generic function and uses method dispatch to avoid conflicts with `graphics:layout()` (fixes #464). diff --git a/R/add.R b/R/add.R index 398932cc8c..3c0884739c 100644 --- a/R/add.R +++ b/R/add.R @@ -25,15 +25,9 @@ add_data <- function(p, data = NULL) { #' @param ... These arguments are documented in the references section below. #' Note that acceptable arguments depend on the trace type. #' @param color Either a variable name or a vector to use for color mapping. -#' @param colors Either a colorbrewer2.org palette name (e.g. "YlOrRd" or "Blues"), -#' or a vector of colors to interpolate in hexadecimal "#RRGGBB" format, -#' or a color interpolation function like \code{colorRamp}. #' @param symbol Either a variable name or a (discrete) vector to use for symbol encoding. -#' @param symbols A character vector of symbol types. Possible values: -#' 'dot', 'cross', 'diamond', 'square', 'triangle-down', 'triangle-left', 'triangle-right', 'triangle-up' #' @param size A variable name or numeric vector to encode the size of markers. #' @param linetype Either a variable name or a (discrete) vector to use for linetype encoding. -#' @param linetypes A character vector of line types. For possible values, see \link{schema}. #' @param data A data frame to associate with this trace (optional). If not #' provided, arguments are evaluated using the data frame in \code{\link{plot_ly}()}. #' @seealso \code{\link{plot_ly}()} @@ -52,15 +46,10 @@ add_data <- function(p, data = NULL) { #' plot_ly(economics, x = ~date, y = ~uempmed) %>% #' add_points(color = ~pop) %>% #' add_lines(line = list(color = "red")) -#' -#' -#' -#' # add a loess smoother -#' p2 <- add_trace(p, y = ~fitted(loess(uempmed ~ as.numeric(date)))) +#' #' add_trace <- function(p, ..., - color, colors = NULL, symbol, symbols = NULL, size, - linetype, linetypes = NULL, data = NULL) { + color, symbol, size, linetype, data = NULL) { # "native" plotly arguments attrs <- list(...) @@ -79,7 +68,7 @@ add_trace <- function(p, ..., p <- add_data(p, data) # inherit attributes from the "first layer" - new_attrs <- modifyList(p$x$attrs[[1]] %||% list(), attrs) + new_attrs <- modify_list(p$x$attrs[[1]], attrs) p$x$attrs <- c( p$x$attrs %||% list(), diff --git a/R/ggplotly.R b/R/ggplotly.R index 804c47eae5..6d7ade9027 100644 --- a/R/ggplotly.R +++ b/R/ggplotly.R @@ -258,7 +258,7 @@ gg2list <- function(p, width = NULL, height = NULL, tooltip = "all", source = "A varName <- y[[i]] # by default assume the values don't need any formatting forMat <- function(x) if (is.numeric(x)) round(x, 2) else x - if (aesName %in% c("x", "y")) { + if (isTRUE(aesName %in% c("x", "y"))) { scaleName <- scales$get_scales(aesName)$scale_name # convert "milliseconds from the UNIX epoch" to a date/datetime # http://stackoverflow.com/questions/13456241/convert-unix-epoch-to-date-object-in-r @@ -668,7 +668,7 @@ gg2list <- function(p, width = NULL, height = NULL, tooltip = "all", source = "A idx <- which(hashes %in% i) # for now we just merge markers and lines -- I can't imagine text being worthwhile if (all(modes[idx] %in% c("lines", "markers"))) { - mergedTraces[[i]] <- Reduce(modifyList, traces[idx]) + mergedTraces[[i]] <- Reduce(modify_list, traces[idx]) mergedTraces[[i]]$mode <- "markers+lines" if (any(sapply(traces[idx], "[[", "showlegend"))) { mergedTraces[[i]]$showlegend <- TRUE @@ -847,8 +847,7 @@ bold <- function(x) paste("", x, "") italic <- function(x) paste("", x, "") # if a vector has one unique value, return that value -uniq <- function(x, na.rm = TRUE) { - if (na.rm) x <- x[!is.na(x)] +uniq <- function(x) { u <- unique(x) if (length(u) == 1) u else x } diff --git a/R/helpers.R b/R/helpers.R index 3b35ed14ca..a62259d168 100644 --- a/R/helpers.R +++ b/R/helpers.R @@ -7,10 +7,10 @@ #' add_points() %>% #' hide_colorbar() hide_colorbar <- function(p) { + p <- plotly_build(p) idx <- vapply(p$x$data, is.colorbar, logical(1)) - browser() for (i in which(idx)) { - p$x$data[[i]]$marker$colorbar$showscale <- FALSE + p$x$data[[i]]$marker$showscale <- FALSE } p } diff --git a/R/layers2traces.R b/R/layers2traces.R index 7a48d70b74..fc47d573d5 100644 --- a/R/layers2traces.R +++ b/R/layers2traces.R @@ -461,7 +461,6 @@ geom2trace.GeomPolygon <- function(data, params, p) { type = "scatter", mode = "lines", line = list( - # NOTE: line attributes must be constant on a polygon width = aes2plotly(data, params, "size"), color = toRGB( aes2plotly(data, params, "colour"), @@ -640,7 +639,7 @@ ribbon_dat <- function(dat) { n <- nrow(dat) o <- order(dat$x) o2 <- order(dat$x, decreasing = TRUE) - used <- c("x", "ymin", "ymax") + used <- c("x", "ymin", "ymax", "y") not_used <- setdiff(names(dat), used) # top-half of ribbon tmp <- dat[o, ] diff --git a/R/layout.R b/R/layout.R index f1b3ef6417..4e7a5150b7 100644 --- a/R/layout.R +++ b/R/layout.R @@ -21,7 +21,13 @@ layout.matrix <- function(p, ..., data = NULL) { #' @export layout.plotly <- function(p, ..., data = NULL) { p <- add_data(p, data) - p$x$layoutAttrs[[p$x$cur_data]] <- list(...) + attrs <- list(...) + if (is.null(p$x$cur_data)) { + nlayouts <- length(p$x$layout) + p$x$layout <- c(p$x$layout, attrs) + } else { + p$x$layoutAttrs[[p$x$cur_data]] <- attrs + } p } diff --git a/R/plotly_POST.R b/R/plotly_POST.R index b455db22a9..0ad09e9a33 100644 --- a/R/plotly_POST.R +++ b/R/plotly_POST.R @@ -38,6 +38,7 @@ plotly_POST <- function(x, filename = NULL, fileopt = "overwrite", sharing = c("public", "private", "secret")) { x <- plotly_build(x) + if (inherits(x, "htmlwidget")) x <- x$x # try our damndest to assign a sensible filename x$filename <- filename %||% x$filename %||% as.character(x$layout$title) %||% paste(c(x$layout$xaxis$title, x$layout$yaxis$title, x$layout$zaxis$title), diff --git a/R/subplots.R b/R/subplots.R index 2dd988b941..bf81364189 100644 --- a/R/subplots.R +++ b/R/subplots.R @@ -218,7 +218,7 @@ subplot <- function(..., nrows = 1, widths = NULL, heights = NULL, margin = 0.02 # start merging the plots into a single subplot p <- list( data = Reduce(c, traces), - layout = Reduce(modifyList, c(xAxes, rev(yAxes))) + layout = Reduce(modify_list, c(xAxes, rev(yAxes))) ) # reposition shapes and annotations annotations <- Map(reposition, annotations, split(domainInfo, seq_along(plots))) @@ -235,7 +235,7 @@ subplot <- function(..., nrows = 1, widths = NULL, heights = NULL, margin = 0.02 } layouts <- layouts[which_layout] } - p$layout <- c(p$layout, Reduce(modifyList, layouts)) + p$layout <- c(p$layout, Reduce(modify_list, layouts)) as.widget(p) } diff --git a/R/toRGB.R b/R/toRGB.R index f99fb82bb6..2049b7df64 100644 --- a/R/toRGB.R +++ b/R/toRGB.R @@ -4,7 +4,7 @@ #' @return hexadecimal colour value (if is.na(x), return "transparent" for compatibility with Plotly) #' @export toRGB <- function(x, alpha = 1) { - if (is.null(x)) return(x) + if (length(x) == 0) return(x) if (any(x %in% "transparent")) return(x) # add alpha to already converted "rgb(x,y,z)" codes idx <- grepl("^rgba\\(", x) & alpha <= 1 & 0 <= alpha @@ -24,6 +24,7 @@ toRGB <- function(x, alpha = 1) { ) rgb_matrix["alpha", ] <- round(rgb_matrix["alpha", ], 4) rgba <- sprintf("rgba(%s)", apply(rgb_matrix, 2, paste, collapse = ",")) + rgba[is.na(x)] <- "transparent" rgba } diff --git a/R/utils.R b/R/utils.R index cddb519ede..c39bbfad09 100644 --- a/R/utils.R +++ b/R/utils.R @@ -18,6 +18,10 @@ compact <- function(x) { Filter(Negate(is.null), x) } +modify_list <- function(x, y, ...) { + modifyList(x %||% list(), y %||% list(), ...) +} + is.discrete <- function(x) { is.factor(x) || is.character(x) || is.logical(x) } @@ -44,12 +48,12 @@ verify_attr_names <- function(p) { # some layout attributes (e.g., [x-y]axis can have trailing numbers) check_attrs( sub("[0-9]+$", "", names(p$x$layout)), - names(Schema$layout$layoutAttributes) + c(names(Schema$layout$layoutAttributes), c("barmode", "bargap")) ) for (tr in seq_along(p$x$data)) { thisTrace <- p$x$data[[tr]] validAttrs <- Schema$traces[[thisTrace$type]]$attributes - check_attrs(names(thisTrace), names(validAttrs)) + check_attrs(names(thisTrace), c(names(validAttrs), "key")) } invisible(p) } @@ -118,7 +122,7 @@ verify_box <- function(proposed, schema) { # TODO: add an argument to verify trace properties are valid (https://github.com/ropensci/plotly/issues/540) verify_type <- function(type = NULL) { if (is.null(type)) { - message("No trace type specified. Using the default 'scatter'") + message("No trace type specified. Using the 'scatter' default.") type <- "scatter" } if (!is.character(type) || length(type) != 1) { @@ -133,6 +137,46 @@ verify_type <- function(type = NULL) { type } +verify_mode <- function(p) { + for (tr in seq_along(p$x$data)) { + trace <- p$x$data[[tr]] + if (grepl("scatter", trace$type %||% "scatter")) { + if (!is.null(trace$marker) && !grepl("markers", trace$mode)) { + message( + "A marker object has been specified, but markers is not in the mode\n", + "Adding markers to the mode..." + ) + p$x$data[[tr]]$mode <- paste0(p$x$data[[tr]]$mode, "+markers") + } + if (!is.null(trace$line) && !grepl("lines", trace$mode)) { + message( + "A line object has been specified, but lines is not in the mode\n", + "Adding lines to the mode..." + ) + p$x$data[[tr]]$mode <- paste0(p$x$data[[tr]]$mode, "+lines") + } + if (!is.null(trace$textfont) && !grepl("text", trace$mode)) { + warning( + "A textfont object has been specified, but text is not in the mode\n", + "Adding text to the mode..." + ) + p$x$data[[tr]]$mode <- paste0(p$x$data[[tr]]$mode, "+text") + } + } + } + p +} + +verify_arrays <- function(p) { + for (i in c("annotations", "shapes")) { + thing <- p$x$layout[[i]] + if (is.list(thing) && !is.null(names(thing))) { + p$x$layout[[i]] <- list(thing) + } + } + p +} + has_marker <- function(types, modes) { is_scatter <- grepl("scatter", types) ifelse(is_scatter, grepl("marker", modes), has_attr(types, "marker")) diff --git a/inst/examples/onRenderHover/index.Rmd b/inst/examples/onRenderHover/index.Rmd index 72265585c9..70647eb329 100644 --- a/inst/examples/onRenderHover/index.Rmd +++ b/inst/examples/onRenderHover/index.Rmd @@ -11,7 +11,7 @@ library(htmlwidgets) set.seed(1056) -nPatients <- 100 +nPatients <- 50 nVisits <- 10 df <- data.frame( @@ -21,14 +21,15 @@ df <- data.frame( ) c1 <- list(color = toRGB("steelblue", 0.5)) c2 <- list(color = toRGB("orange", 0.5)) -# `color=factor(uin)`` is here just to ensure we get one trace -# for each value of uin -p <- plot_ly( - df, x = visit, y = fev1_perc, color = factor(uin), - mode = "markers+lines", marker = c1, line = c2 -) %>% layout(hovermode = "closest", showlegend = FALSE) -as.widget(p) %>% +# The color mapping is used only to generate multiple traces +# (which makes it easier to highlight lines on the JS side) +# TODO: maybe provide a split_by() function to avoid this sort of hack? +df %>% + plot_ly( + x = ~visit, y = ~fev1_perc, color = ~factor(uin), marker = c1, line = c2 + ) %>% + layout(hovermode = "closest", showlegend = FALSE) %>% onRender(' function(el, x) { var graphDiv = document.getElementById(el.id); diff --git a/man/add_trace.Rd b/man/add_trace.Rd index a9762c8cf6..fea654ee46 100644 --- a/man/add_trace.Rd +++ b/man/add_trace.Rd @@ -4,8 +4,7 @@ \alias{add_trace} \title{Add trace(s) to a plotly visualization} \usage{ -add_trace(p, ..., color, colors = NULL, symbol, symbols = NULL, size, - linetype, linetypes = NULL, data = NULL) +add_trace(p, ..., color, symbol, size, linetype, data = NULL) } \arguments{ \item{p}{a plotly or ggplot object.} @@ -15,21 +14,12 @@ Note that acceptable arguments depend on the trace type.} \item{color}{Either a variable name or a vector to use for color mapping.} -\item{colors}{Either a colorbrewer2.org palette name (e.g. "YlOrRd" or "Blues"), -or a vector of colors to interpolate in hexadecimal "#RRGGBB" format, -or a color interpolation function like \code{colorRamp}.} - \item{symbol}{Either a variable name or a (discrete) vector to use for symbol encoding.} -\item{symbols}{A character vector of symbol types. Possible values: -'dot', 'cross', 'diamond', 'square', 'triangle-down', 'triangle-left', 'triangle-right', 'triangle-up'} - \item{size}{A variable name or numeric vector to encode the size of markers.} \item{linetype}{Either a variable name or a (discrete) vector to use for linetype encoding.} -\item{linetypes}{A character vector of line types. For possible values, see \link{schema}.} - \item{data}{A data frame to associate with this trace (optional). If not provided, arguments are evaluated using the data frame in \code{\link{plot_ly}()}.} } @@ -48,11 +38,7 @@ p \%>\% add_text(text = ".") plot_ly(economics, x = ~date, y = ~uempmed) \%>\% add_points(color = ~pop) \%>\% add_lines(line = list(color = "red")) - - - -# add a loess smoother -p2 <- add_trace(p, y = ~fitted(loess(uempmed ~ as.numeric(date)))) + } \author{ diff --git a/man/plot_ly.Rd b/man/plot_ly.Rd index 7eb47b2835..2ef04fecde 100644 --- a/man/plot_ly.Rd +++ b/man/plot_ly.Rd @@ -14,7 +14,8 @@ plot_ly(data = data.frame(), ..., type = NULL, color, colors = NULL, \item{...}{These arguments are documented at \url{https://plot.ly/r/reference/} Note that acceptable arguments depend on the value of \code{type}.} -\item{type}{A character string describing the type of trace.} +\item{type}{A character string describing the type of trace. If \code{NULL} +(the default), the initial trace type is determined by \code{add_trace}} \item{color}{Either a variable name or a vector to use for color mapping.} diff --git a/tests/testthat/test-cookbook-lines.R b/tests/testthat/test-cookbook-lines.R index 4cb4ffff71..865c7c06ae 100644 --- a/tests/testthat/test-cookbook-lines.R +++ b/tests/testthat/test-cookbook-lines.R @@ -184,6 +184,7 @@ test_that("scatter facet -> 2 traces", { temp <- spf + geom_hline(aes(yintercept=10)) test_that("geom_hline -> 2 more traces", { info <- expect_traces(temp, 4, "scatter-facet-hline") + expect_true(info$layout$showlegend) has.name <- sapply(info$data, function(tr) nchar(tr$name) > 0) expect_equal(sum(has.name), 2) diff --git a/tests/testthat/test-ggplot-area.R b/tests/testthat/test-ggplot-area.R index ecacd93471..c11c58c94a 100644 --- a/tests/testthat/test-ggplot-area.R +++ b/tests/testthat/test-ggplot-area.R @@ -26,7 +26,7 @@ test_that("sanity check for geom_area", { L <- expect_traces(ar, 1, "simple") expect_identical(L$data[[1]]$type, "scatter") expect_identical(L$data[[1]]$mode, "lines") - expect_identical(L$data[[1]]$fill, "tozerox") + expect_identical(L$data[[1]]$fill, "toself") expect_true( L$data[[1]]$fillcolor == toRGB(GeomArea$default_aes$fill, GeomArea$default_aes$alpha) diff --git a/tests/testthat/test-ggplot-density2d.R b/tests/testthat/test-ggplot-density2d.R index 60dce56040..8cae56c522 100644 --- a/tests/testthat/test-ggplot-density2d.R +++ b/tests/testthat/test-ggplot-density2d.R @@ -43,7 +43,7 @@ test_that("StatDensity2d with GeomPolygon translates to filled path(s)", { unique(unlist(lapply(polygons, "[[", "mode"))), "lines" ) expect_identical( - unique(unlist(lapply(polygons, "[[", "fill"))), "tozerox" + unique(unlist(lapply(polygons, "[[", "fill"))), "toself" ) # split on fill for polygons # (you can't have two polygons with different fill in a single trace) diff --git a/tests/testthat/test-ggplot-errorbar.R b/tests/testthat/test-ggplot-errorbar.R index 51622e69d7..fbcc65eb69 100644 --- a/tests/testthat/test-ggplot-errorbar.R +++ b/tests/testthat/test-ggplot-errorbar.R @@ -29,8 +29,8 @@ g <- p + geom_errorbar(aes(ymin = lower, ymax = upper)) test_that("geom_errorbar boxes an array of length 1", { L <- save_outputs(g, "errorbar-unique-groups") - expect_true(inherits(L$data[[1]]$error_y$array, "AsIs")) - expect_true(inherits(L$data[[1]]$error_y$arrayminus, "AsIs")) + expect_equal(L$data[[1]]$error_y$array, 0.1) + expect_equal(L$data[[1]]$error_y$arrayminus, 0.2) }) # TODO fix and add a test for width of errorbars diff --git a/tests/testthat/test-ggplot-point.R b/tests/testthat/test-ggplot-point.R index 8a4e2b27a2..32c23e5061 100644 --- a/tests/testthat/test-ggplot-point.R +++ b/tests/testthat/test-ggplot-point.R @@ -58,12 +58,3 @@ test_that("can plot on sub-second time scale", { info <- save_outputs(g, "point-size-alpha2") expect_equivalent(info$data[[1]]$x, as.numeric(d$x)) }) - - -test_that("tickvals/ticktext are appropriately boxed", { - d <- data.frame(x = factor(75), y = 10) - p <- qplot(x, y, data = d) - info <- save_outputs(p, "point-box") - expect_true(plotly:::to_JSON(info$layout$xaxis$tickvals) == '[1]') - expect_true(plotly:::to_JSON(info$layout$xaxis$ticktext) == '["75"]') -}) diff --git a/tests/testthat/test-ggplot-violin.R b/tests/testthat/test-ggplot-violin.R index 7b6dc38105..d10ba9d1c6 100644 --- a/tests/testthat/test-ggplot-violin.R +++ b/tests/testthat/test-ggplot-violin.R @@ -7,7 +7,7 @@ test_that("basic geom_violin works", { expect_equal(length(L$data), 1) tr <- L$data[[1]] expect_identical(tr$type, "scatter") - expect_true(tr$fill == "tozerox") + expect_true(tr$fill == "toself") expect_false(tr$showlegend) expect_true(all(grepl("density", tr$text[!is.na(tr$text)]))) expect_true(tr$hoverinfo == "text") From 5e3f01143d44bb8d95f3c42fbab1211c569ba132 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Thu, 16 Jun 2016 16:34:01 -0500 Subject: [PATCH 20/73] more documentation --- inst/htmlwidgets/plotly.js | 1 - vignettes/intro.Rmd | 23 ++++++++++++----------- 2 files changed, 12 insertions(+), 12 deletions(-) diff --git a/inst/htmlwidgets/plotly.js b/inst/htmlwidgets/plotly.js index b406d6759f..3df60ef50d 100644 --- a/inst/htmlwidgets/plotly.js +++ b/inst/htmlwidgets/plotly.js @@ -27,7 +27,6 @@ HTMLWidgets.widget({ // if no plot exists yet, create one with a particular configuration if (!instance.plotly) { - console.log(x); var plot = Plotly.plot(graphDiv, x.data, x.layout, x.config); instance.plotly = true; instance.autosize = x.layout.autosize; diff --git a/vignettes/intro.Rmd b/vignettes/intro.Rmd index 2dbee86595..efc8923a71 100644 --- a/vignettes/intro.Rmd +++ b/vignettes/intro.Rmd @@ -22,14 +22,14 @@ To create a plotly visualization, start with `plot_ly()`. ```{r} library(plotly) -plot_ly(economics, x = date, y = unemploy / pop) +plot_ly(economics, x = ~date, y = ~unemploy / pop) ``` A plotly visualization is composed of one (or more) trace(s), and every trace has a `type` (the default type is 'scatter'). The arguments/properties that a trace will respect ([documented here](https://plot.ly/r/reference)) depend on it's type. A scatter trace respects `mode`, which can be any combination of "lines", "markers", "text" joined with a "+": ```{r} library(plotly) -plot_ly(economics, x = date, y = unemploy / pop, +plot_ly(economics, x = ~date, y = ~unemploy / pop, type = "scatter", mode = "markers+lines") ``` @@ -37,29 +37,30 @@ You can manually add a trace to an existing plot with `add_trace()`. In that cas ```{r} m <- loess(unemploy / pop ~ as.numeric(date), data = economics) -p <- plot_ly(economics, x = date, y = unemploy / pop, name = "raw") -add_trace(p, x = date, y = fitted(m), name = "loess") +p <- plot_ly(economics, x = ~date, y = ~unemploy / pop, name = "raw") +add_lines(p, y = ~fitted(m), name = "loess") ``` __plotly__ was designed with a [pure, predictable, and pipeable interface](https://dl.dropboxusercontent.com/u/41902/pipe-dsls.pdf) in mind, so you can also use the `%>%` operator to create a visualization pipeline: ```{r} economics %>% - plot_ly(x = date, y = unemploy / pop) %>% - add_trace(x = date, y = fitted(m)) %>% + plot_ly(x = ~date, y = ~unemploy / pop) %>% + add_lines(y = ~fitted(m)) %>% layout(showlegend = F) ``` -Furthermore, `plot_ly()`, `add_trace()`, and `layout()`, all accept a data frame as their first argument and output a data frame. As a result, we can inter-weave data manipulations and visual mappings in a single pipeline. +TODO: talk about dplyr verbs! ```{r} +library(dplyr) economics %>% - transform(rate = unemploy / pop) %>% - plot_ly(x = date, y = rate) %>% - subset(rate == max(rate)) %>% + mutate(rate = unemploy / pop) %>% + plot_ly(x = ~date, y = ~rate) %>% + filter(rate == max(rate)) %>% layout( showlegend = F, - annotations = list(x = date, y = rate, text = "Peak", showarrow = T) + annotations = list(x = ~date, y = ~rate, text = "Peak", showarrow = T) ) ``` From f94645ce8eed9df3a705ba10eaaf241f42ccd102 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Fri, 17 Jun 2016 12:02:05 -0500 Subject: [PATCH 21/73] trace type inference --- R/plotly_build.R | 9 ++++----- R/utils.R | 40 ++++++++++++++++++++++++++++++++++------ 2 files changed, 38 insertions(+), 11 deletions(-) diff --git a/R/plotly_build.R b/R/plotly_build.R index cb75c1ac35..4f9d389954 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -54,10 +54,6 @@ plotly_build.plotly <- function(p) { dats <- Map(function(x, y) { - x$type <- verify_type(x$type) - - d <- plotly_data(p, y) - # add sensible axis names to layout for (i in c("x", "y", "z")) { nm <- paste0(i, "axis") @@ -73,12 +69,15 @@ plotly_build.plotly <- function(p) { } # perform the evaluation + d <- plotly_data(p, y) x <- rapply(x, eval_attr, data = d, how = "list") + x <- verify_type(x) + attrLengths <- lengths(x) # if appropriate, set the mode now since we need to reference it later - if (grepl("scatter", x$type)) { + if (grepl("scatter", x$type) && is.null(x$mode)) { x$mode <- if (any(attrLengths > 20)) "lines" else "markers+lines" } diff --git a/R/utils.R b/R/utils.R index c39bbfad09..bcbccaac29 100644 --- a/R/utils.R +++ b/R/utils.R @@ -118,22 +118,50 @@ verify_box <- function(proposed, schema) { proposed } + # make sure trace type is valid # TODO: add an argument to verify trace properties are valid (https://github.com/ropensci/plotly/issues/540) -verify_type <- function(type = NULL) { - if (is.null(type)) { - message("No trace type specified. Using the 'scatter' default.") - type <- "scatter" +verify_type <- function(trace) { + if (is.null(trace$type)) { + attrs <- names(trace) + attrLengths <- lengths(trace) + if (all(c("x", "y", "z") %in% attrs)) { + trace$type <- if (all(c("i", "j", "k") %in% attrs)) relay_type("mesh3d") else relay_type("scatter3d") + } else if (all(c("x", "y") %in% attrs)) { + if (is.numeric(trace$x) && is.numeric(trace$y)) { + trace$type <- if (any(attrLengths) > 15000) relay_type("scattergl") else relay_type("scatter") + } else if (is.numeric(trace$x)) { + trace$type <- relay_type("bar") + trace$orientation <- "h" + } else if (is.numeric(trace$y)) { + trace$type <- relay_type("bar") + } else { + trace$type <- relay_type("histogram2d") + } + } else if ("y" %in% attrs || "x" %in% attrs) { + trace$type <- relay_type("histogram") + } else { + warning("No trace type specified and no positional attributes specified", call. = FALSE) + trace$type <- relay_type("scatter") + } } - if (!is.character(type) || length(type) != 1) { + if (!is.character(trace$type) || length(trace$type) != 1) { stop("The trace type must be a character vector of length 1.\n", call. = FALSE) } - if (!type %in% names(Schema$traces)) { + if (!trace$type %in% names(Schema$traces)) { stop("Trace type must be one of the following: \n", "'", paste(names(Schema$traces), collapse = "', '"), "'", call. = FALSE) } + trace +} + +relay_type <- function(type) { + message( + "No trace type specified. Inferring a type of '", type, "'.\n", + "Read more about this trace type here -> https://plot.ly/r/reference/#", type + ) type } From ea7e09706580b3c9e3659dd1603d732e2e449d25 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Fri, 17 Jun 2016 12:56:52 -0500 Subject: [PATCH 22/73] better docs; plotly_spec -> plotly_json; bug fixes --- NAMESPACE | 2 -- NEWS | 2 +- R/debug.R | 43 ------------------------------------ R/plotly.R | 18 +++++++++++++-- R/utils.R | 10 +++++---- inst/htmlwidgets/plotly.yaml | 2 +- man/explain_attrs.Rd | 21 ------------------ man/plot_ly.Rd | 18 +++++++++++++-- man/plotly_spec.Rd | 22 ------------------ man/schema.Rd | 10 ++------- 10 files changed, 42 insertions(+), 106 deletions(-) delete mode 100644 R/debug.R delete mode 100644 man/explain_attrs.Rd delete mode 100644 man/plotly_spec.Rd diff --git a/NAMESPACE b/NAMESPACE index bada3d039e..a4237cfd1b 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -59,7 +59,6 @@ export(as.widget) export(config) export(embed_notebook) export(event_data) -export(explain_attrs) export(export) export(filter_.plotly) export(geom2trace) @@ -81,7 +80,6 @@ export(plotly_build) export(plotly_data) export(plotly_empty) export(plotly_json) -export(plotly_spec) export(rename_.plotly) export(renderPlotly) export(schema) diff --git a/NEWS b/NEWS index 2bd7302f48..a6398778ad 100644 --- a/NEWS +++ b/NEWS @@ -16,7 +16,7 @@ NEW FEATURES & IMPROVEMENTS: * New `toWebGL()` function for easy conversion from SVG to WebGL. * New `export()` function makes it easy to save plots as png/jpeg/pdf (fixes #311). * `layout()` is now a generic function and uses method dispatch to avoid conflicts with `graphics:layout()` (fixes #464). -* Added a `plotly_spec()` function for inspecting the data sent to plotly.js (as an R list or JSON). +* Added a `plotly_json()` function for inspecting the data sent to plotly.js (as an R list or JSON). OTHER CHANGES: diff --git a/R/debug.R b/R/debug.R deleted file mode 100644 index 89f81eba9c..0000000000 --- a/R/debug.R +++ /dev/null @@ -1,43 +0,0 @@ -#' Obtain JSON sent to plotly.js -#' -#' This function returns the JSON sent to plotly.js which can be useful for -#' debugging. -#' -#' @param p a plotly or ggplot object. -#' @param ... other options passed onto \code{listviewer::jsonedit} -#' @export -#' @examples -#' -#' plotly_spec(plot_ly()) - -plotly_spec <- function(p = plot_ly(), ...) { - if (system.file(package = "listviewer") == "") { - stop("This function requires the listviewer package:\n", - "install.packages('listviewer')", call. = FALSE) - } - listviewer::jsonedit(to_JSON(plotly_build(p)$x), mode = "form", ...) -} - - -#' Display plot schema -#' -#' @export -#' @examples -#' -#' schema() - -schema <- function() { - listviewer::jsonedit(Schema, mode = "form") -} - -#' Show information about attribute(s) of a given trace type -#' -#' @export -#' @param type a trace type -#' @param attrs attributes for the race type -#' @examples -#' -#' explain_attrs() -explain_attrs <- function(type = "scatter", attrs = c("x", "y")) { - jsonlite::toJSON(verify_attrs(type, attrs), pretty = TRUE) -} diff --git a/R/plotly.R b/R/plotly.R index d8b21abc11..33679f7969 100644 --- a/R/plotly.R +++ b/R/plotly.R @@ -27,8 +27,22 @@ #' @export #' @examples #' \dontrun{ -#' data(economics, package = "ggplot2") -#' # basic time-series plot +#' +#' # If you don't explicitly add a trace, via add_trace() or similar, +#' # plot_ly() will add one for you, and infer an appropriate trace type +#' plot_ly(economics, x = ~pop) +#' plot_ly(economics, x = ~date, y = ~pop) +#' +#' # Attributes set in plot_ly() define 'global' attributes that +#' # are carried onto subsequent traces +#' plot_ly(economics, x = ~date, line = list(color = "black")) %>% +#' add_trace(y = ~uempmed, mode = "markers+lines") %>% +#' add_lines(y = ~psavert) +#' +#' plot_ly(economics, x = ~date) %>% +#' add_lines(y = ~uempmed) %>% +#' add_lines(y = ~fitted(loess(uempmed ~ as.numeric(date)))) +#' #' p <- plot_ly(economics, x = ~date, y = ~uempmed) #' # add a loess smoother #' p2 <- add_trace(p, y = ~fitted(loess(uempmed ~ as.numeric(date)))) diff --git a/R/utils.R b/R/utils.R index bcbccaac29..de4fe1427f 100644 --- a/R/utils.R +++ b/R/utils.R @@ -128,18 +128,20 @@ verify_type <- function(trace) { if (all(c("x", "y", "z") %in% attrs)) { trace$type <- if (all(c("i", "j", "k") %in% attrs)) relay_type("mesh3d") else relay_type("scatter3d") } else if (all(c("x", "y") %in% attrs)) { - if (is.numeric(trace$x) && is.numeric(trace$y)) { + if (!is.discrete(trace$x) && !is.discrete(trace$y)) { trace$type <- if (any(attrLengths) > 15000) relay_type("scattergl") else relay_type("scatter") - } else if (is.numeric(trace$x)) { + } else if (!is.discrete(trace$x)) { trace$type <- relay_type("bar") trace$orientation <- "h" - } else if (is.numeric(trace$y)) { + } else if (!is.discrete(trace$y)) { trace$type <- relay_type("bar") } else { trace$type <- relay_type("histogram2d") } } else if ("y" %in% attrs || "x" %in% attrs) { - trace$type <- relay_type("histogram") + trace$type <- relay_type("histogram") + } else if ("z" %in% attrs) { + trace$type <- relay_type("heatmap") } else { warning("No trace type specified and no positional attributes specified", call. = FALSE) trace$type <- relay_type("scatter") diff --git a/inst/htmlwidgets/plotly.yaml b/inst/htmlwidgets/plotly.yaml index b8704579d1..01777e0659 100644 --- a/inst/htmlwidgets/plotly.yaml +++ b/inst/htmlwidgets/plotly.yaml @@ -1,6 +1,6 @@ dependencies: - name: plotlyjs - version: 1.11.0 + version: 1.13.0 src: "htmlwidgets/lib/plotlyjs" script: plotly-latest.min.js stylesheet: plotly-htmlwidgets.css diff --git a/man/explain_attrs.Rd b/man/explain_attrs.Rd deleted file mode 100644 index f9462c0396..0000000000 --- a/man/explain_attrs.Rd +++ /dev/null @@ -1,21 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/debug.R -\name{explain_attrs} -\alias{explain_attrs} -\title{Show information about attribute(s) of a given trace type} -\usage{ -explain_attrs(type = "scatter", attrs = c("x", "y")) -} -\arguments{ -\item{type}{a trace type} - -\item{attrs}{attributes for the race type} -} -\description{ -Show information about attribute(s) of a given trace type -} -\examples{ - -explain_attrs() -} - diff --git a/man/plot_ly.Rd b/man/plot_ly.Rd index 2ef04fecde..cdf7486b85 100644 --- a/man/plot_ly.Rd +++ b/man/plot_ly.Rd @@ -48,8 +48,22 @@ Reference section (see below). } \examples{ \dontrun{ -data(economics, package = "ggplot2") -# basic time-series plot + +# If you don't explicitly add a trace, via add_trace() or similar, +# plot_ly() will add one for you, and infer an appropriate trace type +plot_ly(economics, x = ~pop) +plot_ly(economics, x = ~date, y = ~pop) + +# Attributes set in plot_ly() define 'global' attributes that +# are carried onto subsequent traces +plot_ly(economics, x = ~date, line = list(color = "black")) \%>\% + add_trace(y = ~uempmed, mode = "markers+lines") \%>\% + add_lines(y = ~psavert) + +plot_ly(economics, x = ~date) \%>\% + add_lines(y = ~uempmed) \%>\% + add_lines(y = ~fitted(loess(uempmed ~ as.numeric(date)))) + p <- plot_ly(economics, x = ~date, y = ~uempmed) # add a loess smoother p2 <- add_trace(p, y = ~fitted(loess(uempmed ~ as.numeric(date)))) diff --git a/man/plotly_spec.Rd b/man/plotly_spec.Rd deleted file mode 100644 index 21775de2ef..0000000000 --- a/man/plotly_spec.Rd +++ /dev/null @@ -1,22 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/debug.R -\name{plotly_spec} -\alias{plotly_spec} -\title{Obtain JSON sent to plotly.js} -\usage{ -plotly_spec(p = plot_ly(), ...) -} -\arguments{ -\item{p}{a plotly or ggplot object.} - -\item{...}{other options passed onto \code{listviewer::jsonedit}} -} -\description{ -This function returns the JSON sent to plotly.js which can be useful for -debugging. -} -\examples{ - -plotly_spec(plot_ly()) -} - diff --git a/man/schema.Rd b/man/schema.Rd index f5d8cbc578..d933ebf277 100644 --- a/man/schema.Rd +++ b/man/schema.Rd @@ -1,22 +1,16 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/debug.R, R/dev.R +% Please edit documentation in R/dev.R \name{schema} \alias{schema} -\title{Display plot schema} +\title{Display plotly's plot schema} \usage{ -schema() - schema() } \description{ -Display plot schema - The schema contains valid attributes names, their value type, default values (if any), and min/max values (if applicable). } \examples{ - -schema() schema() } From c00299180fb305df8fa7c36104b4a2f48979333a Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Fri, 17 Jun 2016 12:57:26 -0500 Subject: [PATCH 23/73] fix layout bug identified by @timelyportfolio --- R/layout.R | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/R/layout.R b/R/layout.R index 4e7a5150b7..bbfa66a716 100644 --- a/R/layout.R +++ b/R/layout.R @@ -22,12 +22,11 @@ layout.matrix <- function(p, ..., data = NULL) { layout.plotly <- function(p, ..., data = NULL) { p <- add_data(p, data) attrs <- list(...) - if (is.null(p$x$cur_data)) { - nlayouts <- length(p$x$layout) - p$x$layout <- c(p$x$layout, attrs) - } else { - p$x$layoutAttrs[[p$x$cur_data]] <- attrs - } + # similar to add_trace() + p$x$layoutAttrs <- c( + p$x$layoutAttrs %||% list(), + setNames(list(attrs), p$x$cur_data) + ) p } From dc2669bb128dbd06a9cdbf751f1f89145eed8b21 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Fri, 17 Jun 2016 13:02:02 -0500 Subject: [PATCH 24/73] for consistency in naming; add_points -> add_markers --- NAMESPACE | 2 +- NEWS | 3 ++- R/add.R | 8 ++++---- R/dplyr.R | 2 +- R/helpers.R | 2 +- R/plotly_data.R | 2 +- man/{add_points.Rd => add_markers.Rd} | 6 +++--- man/add_polygons.Rd | 2 +- man/add_trace.Rd | 4 ++-- man/plotly-data.Rd | 2 +- man/plotly_data.Rd | 2 +- 11 files changed, 18 insertions(+), 17 deletions(-) rename man/{add_points.Rd => add_markers.Rd} (74%) diff --git a/NAMESPACE b/NAMESPACE index a4237cfd1b..ad2258b214 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -50,7 +50,7 @@ S3method(to_basic,default) export("%>%") export(add_data) export(add_lines) -export(add_points) +export(add_markers) export(add_polygons) export(add_ribbons) export(add_text) diff --git a/NEWS b/NEWS index a6398778ad..be19fa59d2 100644 --- a/NEWS +++ b/NEWS @@ -11,8 +11,9 @@ BREAKING CHANGES & IMPROVEMENTS: NEW FEATURES & IMPROVEMENTS: * Error checking for trace and layout attributes. +* Trace type inference based on specified attributes. * Added `linetype`/`linetypes` arguments for mapping discrete variables to line types (this works very much like the `symbol`/`symbols`). -* New `add_points()`/`add_lines()`/`add_text()`/`add_polygon`/`add_ribbon()` functions provide a shorthand for common plots. +* New `add_markers()`/`add_lines()`/`add_text()`/`add_polygon`/`add_ribbon()` functions provide a shorthand for common plots. * New `toWebGL()` function for easy conversion from SVG to WebGL. * New `export()` function makes it easy to save plots as png/jpeg/pdf (fixes #311). * `layout()` is now a generic function and uses method dispatch to avoid conflicts with `graphics:layout()` (fixes #464). diff --git a/R/add.R b/R/add.R index 3c0884739c..73e226c7e9 100644 --- a/R/add.R +++ b/R/add.R @@ -38,13 +38,13 @@ add_data <- function(p, data = NULL) { #' #' p <- plot_ly(economics, x = ~date, y = ~uempmed) #' p -#' p %>% add_points() +#' p %>% add_markers() #' p %>% add_lines() #' p %>% add_text(text = ".") #' #' # attributes declared in plot_ly() carry over to downstream traces #' plot_ly(economics, x = ~date, y = ~uempmed) %>% -#' add_points(color = ~pop) %>% +#' add_markers(color = ~pop) %>% #' add_lines(line = list(color = "red")) #' #' @@ -81,7 +81,7 @@ add_trace <- function(p, ..., #' Add points to a plotly vis #' #' @export -add_points <- function(p, ...) { +add_markers <- function(p, ...) { add_trace(p, type = "scatter", mode = "markers", ...) } @@ -111,7 +111,7 @@ add_text <- function(p, ...) { #' ggplot2::map_data("world", "canada") %>% #' group_by(group) %>% #' plot_ly(x = ~long, y = ~lat, hoverinfo = "none") %>% -#' add_points(text = ~paste(name, "
", pop), hoverinfo = "text", +#' add_markers(text = ~paste(name, "
", pop), hoverinfo = "text", #' data = canada.cities) %>% #' layout(showlegend = FALSE) add_polygons <- function(p, ...) { diff --git a/R/dplyr.R b/R/dplyr.R index 0bc3c7af97..ad78661202 100644 --- a/R/dplyr.R +++ b/R/dplyr.R @@ -10,7 +10,7 @@ #' mtcars %>% #' plot_ly(x = ~wt, y = ~mpg, name = "scatter trace") %>% #' filter(cyl == 4) %>% -#' add_points(x = ~wt, y = ~mpg, name = "filtered points", +#' add_markers(x = ~wt, y = ~mpg, name = "filtered points", #' marker = list(color = "red")) #' #' library(tidyr) diff --git a/R/helpers.R b/R/helpers.R index a62259d168..c4d4992ebe 100644 --- a/R/helpers.R +++ b/R/helpers.R @@ -4,7 +4,7 @@ #' @export #' #' plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop) %>% -#' add_points() %>% +#' add_markers() %>% #' hide_colorbar() hide_colorbar <- function(p) { p <- plotly_build(p) diff --git a/R/plotly_data.R b/R/plotly_data.R index cc87a8f564..3b1f6e71dd 100644 --- a/R/plotly_data.R +++ b/R/plotly_data.R @@ -28,7 +28,7 @@ NULL #' mtcars %>% #' plot_ly(x = ~wt, y = ~mpg, name = "scatter trace") %>% #' filter(cyl == 4) %>% -#' add_points(x = ~wt, y = ~mpg, name = "filtered points", +#' add_markers(x = ~wt, y = ~mpg, name = "filtered points", #' marker = list(color = "red")) #' #' library(tidyr) diff --git a/man/add_points.Rd b/man/add_markers.Rd similarity index 74% rename from man/add_points.Rd rename to man/add_markers.Rd index 95881b810d..db0fcb9ab5 100644 --- a/man/add_points.Rd +++ b/man/add_markers.Rd @@ -1,10 +1,10 @@ % Generated by roxygen2: do not edit by hand % Please edit documentation in R/add.R -\name{add_points} -\alias{add_points} +\name{add_markers} +\alias{add_markers} \title{Add points to a plotly vis} \usage{ -add_points(p, ...) +add_markers(p, ...) } \description{ Add points to a plotly vis diff --git a/man/add_polygons.Rd b/man/add_polygons.Rd index 1fd7019747..1851766bd3 100644 --- a/man/add_polygons.Rd +++ b/man/add_polygons.Rd @@ -17,7 +17,7 @@ data(canada.cities, package = "maps") ggplot2::map_data("world", "canada") \%>\% group_by(group) \%>\% plot_ly(x = ~long, y = ~lat, hoverinfo = "none") \%>\% - add_points(text = ~paste(name, "
", pop), hoverinfo = "text", + add_markers(text = ~paste(name, "
", pop), hoverinfo = "text", data = canada.cities) \%>\% layout(showlegend = FALSE) } diff --git a/man/add_trace.Rd b/man/add_trace.Rd index fea654ee46..6d37f36ba5 100644 --- a/man/add_trace.Rd +++ b/man/add_trace.Rd @@ -30,13 +30,13 @@ Add trace(s) to a plotly visualization p <- plot_ly(economics, x = ~date, y = ~uempmed) p -p \%>\% add_points() +p \%>\% add_markers() p \%>\% add_lines() p \%>\% add_text(text = ".") # attributes declared in plot_ly() carry over to downstream traces plot_ly(economics, x = ~date, y = ~uempmed) \%>\% - add_points(color = ~pop) \%>\% + add_markers(color = ~pop) \%>\% add_lines(line = list(color = "red")) diff --git a/man/plotly-data.Rd b/man/plotly-data.Rd index 18dae2a24d..404692fc59 100644 --- a/man/plotly-data.Rd +++ b/man/plotly-data.Rd @@ -51,7 +51,7 @@ library(dplyr) mtcars \%>\% plot_ly(x = ~wt, y = ~mpg, name = "scatter trace") \%>\% filter(cyl == 4) \%>\% - add_points(x = ~wt, y = ~mpg, name = "filtered points", + add_markers(x = ~wt, y = ~mpg, name = "filtered points", marker = list(color = "red")) library(tidyr) diff --git a/man/plotly_data.Rd b/man/plotly_data.Rd index cd415daaa8..b8087dff52 100644 --- a/man/plotly_data.Rd +++ b/man/plotly_data.Rd @@ -55,7 +55,7 @@ library(dplyr) mtcars \%>\% plot_ly(x = ~wt, y = ~mpg, name = "scatter trace") \%>\% filter(cyl == 4) \%>\% - add_points(x = ~wt, y = ~mpg, name = "filtered points", + add_markers(x = ~wt, y = ~mpg, name = "filtered points", marker = list(color = "red")) library(tidyr) From 823e1baea45a352f58683517c486d7a4b6bcacf6 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Fri, 17 Jun 2016 15:18:34 -0500 Subject: [PATCH 25/73] implement size/sizes; fix symbols; better docs --- NAMESPACE | 19 ++++++----- NEWS | 3 +- R/add.R | 12 +++++-- R/helpers.R | 6 ---- R/plotly.R | 66 ++++++++++++++++-------------------- R/plotly_build.R | 60 +++++++++++++++++++++++++++++--- man/add_lines.Rd | 2 +- man/add_paths.Rd | 12 +++++++ man/plot_ly.Rd | 60 +++++++++++++++++++------------- man/plotly-data.Rd | 18 +++++----- man/plotly_data.Rd | 18 +++++----- tests/testthat/test-plotly.R | 23 +++++++------ 12 files changed, 186 insertions(+), 113 deletions(-) create mode 100644 man/add_paths.Rd diff --git a/NAMESPACE b/NAMESPACE index ad2258b214..78cf0d3f44 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -2,6 +2,7 @@ S3method(arrange_,plotly) S3method(distinct_,plotly) +S3method(filter_,plotly) S3method(geom2trace,GeomBar) S3method(geom2trace,GeomBlank) S3method(geom2trace,GeomBoxplot) @@ -16,12 +17,18 @@ S3method(geom2trace,default) S3method(ggplotly,ggmatrix) S3method(ggplotly,ggplot) S3method(group_by_,plotly) +S3method(groups,plotly) S3method(layout,matrix) S3method(layout,plotly) +S3method(mutate_,plotly) S3method(plotly_build,gg) S3method(plotly_build,list) S3method(plotly_build,plotly) S3method(print,plotly_figure) +S3method(rename_,plotly) +S3method(select_,plotly) +S3method(slice_,plotly) +S3method(summarise_,plotly) S3method(to_basic,GeomAbline) S3method(to_basic,GeomArea) S3method(to_basic,GeomBoxplot) @@ -47,10 +54,13 @@ S3method(to_basic,GeomTile) S3method(to_basic,GeomViolin) S3method(to_basic,GeomVline) S3method(to_basic,default) +S3method(transmute_,plotly) +S3method(ungroup,plotly) export("%>%") export(add_data) export(add_lines) export(add_markers) +export(add_paths) export(add_polygons) export(add_ribbons) export(add_text) @@ -60,16 +70,13 @@ export(config) export(embed_notebook) export(event_data) export(export) -export(filter_.plotly) export(geom2trace) export(get_figure) export(gg2list) export(ggplotly) export(group_by) -export(groups.plotly) export(knit_print.plotly_figure) export(layout) -export(mutate_.plotly) export(offline) export(plot_ly) export(plotly) @@ -80,20 +87,14 @@ export(plotly_build) export(plotly_data) export(plotly_empty) export(plotly_json) -export(rename_.plotly) export(renderPlotly) export(schema) -export(select_.plotly) export(signup) -export(slice_.plotly) export(style) export(subplot) -export(summarise_.plotly) export(toRGB) export(toWebGL) export(to_basic) -export(transmute_.plotly) -export(ungroup.plotly) import(ggplot2) importFrom(base64enc,base64encode) importFrom(dplyr,arrange_) diff --git a/NEWS b/NEWS index be19fa59d2..afd11aae89 100644 --- a/NEWS +++ b/NEWS @@ -12,8 +12,9 @@ NEW FEATURES & IMPROVEMENTS: * Error checking for trace and layout attributes. * Trace type inference based on specified attributes. -* Added `linetype`/`linetypes` arguments for mapping discrete variables to line types (this works very much like the `symbol`/`symbols`). * New `add_markers()`/`add_lines()`/`add_text()`/`add_polygon`/`add_ribbon()` functions provide a shorthand for common plots. +* Added `linetype`/`linetypes` arguments for mapping discrete variables to line types (this works very much like the `symbol`/`symbols`). +* Added a `sizes` argument for controlling the range of marker size scaling. * New `toWebGL()` function for easy conversion from SVG to WebGL. * New `export()` function makes it easy to save plots as png/jpeg/pdf (fixes #311). * `layout()` is now a generic function and uses method dispatch to avoid conflicts with `graphics:layout()` (fixes #464). diff --git a/R/add.R b/R/add.R index 73e226c7e9..3126bf39de 100644 --- a/R/add.R +++ b/R/add.R @@ -58,9 +58,6 @@ add_trace <- function(p, ..., attrs$symbol <- verify_arg(symbol) attrs$size <- verify_arg(size) - attrs$colors <- colors - attrs$symbols <- symbols - if (!is.null(attrs[["group"]])) { warning("The group argument has been deprecated. Use group_by() instead.") } @@ -85,8 +82,17 @@ add_markers <- function(p, ...) { add_trace(p, type = "scatter", mode = "markers", ...) } +#' Add paths to a plotly vis +#' +#' @export +add_paths <- function(p, ...) { + add_trace(p, type = "scatter", mode = "lines", ...) +} + #' Add lines to a plotly vis #' +#' Equivalent to \code{add_paths}, but with the x-values sorted. +#' #' @export add_lines <- function(p, ...) { add_trace(p, type = "scatter", mode = "lines", ...) diff --git a/R/helpers.R b/R/helpers.R index c4d4992ebe..c74ad37f4b 100644 --- a/R/helpers.R +++ b/R/helpers.R @@ -15,12 +15,6 @@ hide_colorbar <- function(p) { p } -hide_legend <- function(p) { - layout(p, showlegend = FALSE) -} - - - #' Convert trace types to WebGL #' #' @param p a plotly or ggplot object. diff --git a/R/plotly.R b/R/plotly.R index 33679f7969..6d5b30a79f 100644 --- a/R/plotly.R +++ b/R/plotly.R @@ -19,6 +19,7 @@ #' @param linetype Either a variable name or a (discrete) vector to use for linetype encoding. #' @param linetypes A character vector of line types. For possible values, see \link{schema}. #' @param size A variable name or numeric vector to encode the size of markers. +#' @param sizes a numeric vector of length 2 used to scale sizes to pixels. #' @param width Width in pixels (optional, defaults to automatic sizing). #' @param height Height in pixels (optional, defaults to automatic sizing). #' @param source Only relevant for \link{event_data}. @@ -28,53 +29,45 @@ #' @examples #' \dontrun{ #' -#' # If you don't explicitly add a trace, via add_trace() or similar, -#' # plot_ly() will add one for you, and infer an appropriate trace type +#' # plot_ly() tries to create a sensible plot based on the information you +#' # give it. If you don't provide a trace type, plot_ly() will infer one. #' plot_ly(economics, x = ~pop) #' plot_ly(economics, x = ~date, y = ~pop) +#' # plot_ly() doesn't require data frame(s), which allows one to take +#' # advantage of trace type(s) designed specifically for numeric matrices +#' plot_ly(z = volcano) +#' plot_ly(z = volcano, type = "surface") +#' +#' # plotly has a functional interface: every plotly function takes a plotly +#' # object as it's first input argument and returns a modified plotly object +#' add_points(plot_ly(economics, x = ~date, y = ~unemploy/pop)) +#' +#' # To make code more readable, plotly imports the pipe operator from magrittr +#' economics %>% plot_ly(x = ~date, y = ~unemploy/pop) %>% add_points() #' -#' # Attributes set in plot_ly() define 'global' attributes that +#' # Attributes defined via plot_ly() set 'global' attributes that #' # are carried onto subsequent traces #' plot_ly(economics, x = ~date, line = list(color = "black")) %>% #' add_trace(y = ~uempmed, mode = "markers+lines") %>% -#' add_lines(y = ~psavert) -#' -#' plot_ly(economics, x = ~date) %>% -#' add_lines(y = ~uempmed) %>% -#' add_lines(y = ~fitted(loess(uempmed ~ as.numeric(date)))) -#' -#' p <- plot_ly(economics, x = ~date, y = ~uempmed) -#' # add a loess smoother -#' p2 <- add_trace(p, y = ~fitted(loess(uempmed ~ as.numeric(date)))) -#' # add a title -#' p3 <- layout(p2, title = "Median duration of unemployment (in weeks)") -#' # change the font -#' layout(p3, font = list(family = "Courier New, monospace")) -#' +#' add_lines(y = ~psavert) %>% +#' layout(title = "Setting global trace attributes") #' -#' # using the color argument -#' plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop, mode = "markers") -#' # smooth gradient between 5 colors -#' plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop, -#' colors = terrain.colors(5), mode = "markers") -#' -#' # function to extract the decade of a given date -#' decade <- function(x) { -#' factor(floor(as.numeric(format(x, "%Y")) / 10) * 10) -#' } -#' plot_ly(economics, x = ~unemploy / pop, color = ~decade(date), type = "box") -#' -#' plot_ly(economics, x = ~date, y = ~unemploy / pop, linetype = ~decade(date)) -#' -#' # sometimes, a data frame isn't fit for the use case... -#' # for 3D surface plots, a numeric matrix is more natural -#' plot_ly(z = volcano, type = "surface") +#' # Attributes are documented in the figure reference -> https://plot.ly/r/reference +#' # You might notice plot_ly() has named arguments that aren't in the figure +#' # reference. These arguments make it easier to map abstract data values to +#' # visual attributes. +#' p <- plot_ly(iris, x = ~Sepal.Width, y = ~Sepal.Length) +#' add_markers(p, color = ~Petal.Length, size = ~Petal.Length) +#' add_markers(p, color = ~Species) +#' add_markers(p, color = ~Species, colors = "Set1") +#' add_markers(p, symbol = ~Species) +#' add_paths(p, linetype = ~Species) #' #' } #' plot_ly <- function(data = data.frame(), ..., type = NULL, - color, colors = NULL, symbol, symbols = NULL, size, - linetype, linetypes = NULL, + color, colors = NULL, symbol, symbols = NULL, + size, sizes = c(10, 100), linetype, linetypes = NULL, width = NULL, height = NULL, source = "A") { # "native" plotly arguments attrs <- list(...) @@ -105,6 +98,7 @@ plot_ly <- function(data = data.frame(), ..., type = NULL, attrs$colors <- colors attrs$symbols <- symbols attrs$linetypes <- linetypes + attrs$sizes <- sizes attrs$type <- type # id for tracking attribute mappings and finding the most current data diff --git a/R/plotly_build.R b/R/plotly_build.R index 4f9d389954..789ab58b40 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -89,6 +89,7 @@ plotly_build.plotly <- function(p) { # TODO: should non-formula object names populate titles? colorTitle <- unlist(lapply(p$x$attrs, "[[", "color"))[[1]] dats <- mapColor(dats, title = sub("^~", "", deparse2(colorTitle))) + dats <- mapSize(dats) dats <- mapSymbol(dats) dats <- mapLinetype(dats) @@ -97,7 +98,11 @@ plotly_build.plotly <- function(p) { for (i in seq_along(dats)) { d <- dats[[i]] # no longer need these special variable mapping attributes - for (j in c("color", "colors", "symbol", "symbols", "linetype", "linetypes")) { + specialAttrs <- c( + "color", "colors", "symbol", "symbols", + "linetype", "linetypes", "size", "sizes" + ) + for (j in specialAttrs) { dats[[i]][[j]] <- NULL } params <- list( @@ -148,6 +153,49 @@ plotly_build.plotly <- function(p) { verify_arrays(p) } + +mapSize <- function(traces) { + sizeList <- lapply(traces, "[[", "size") + nSizes <- lengths(sizeList) + # if no "top-level" color is present, return traces untouched + if (all(nSizes == 0)) { + return(traces) + } + allSize <- unlist(compact(sizeList)) + if (!is.null(allSize) && is.discrete(allSize)) { + stop("Size must be mapped to a numeric variable", + "symbols only make sense for discrete variables", call. = FALSE) + } + sizeRange <- range(allSize, na.rm = TRUE) + + types <- vapply(traces, function(tr) tr$type, character(1)) + modes <- vapply(traces, function(tr) tr$mode, character(1)) + hasMarker <- has_marker(types, modes) + hasLine <- has_line(types, modes) + hasText <- has_text(types, modes) + + for (i in which(nSizes > 0)) { + sizeI <- scales::rescale(sizeList[[i]], from = sizeRange, to = traces[[1]]$sizes) + traces[[i]]$marker <- modify_list( + list(size = sizeI, sizemode = "area"), + traces[[i]]$marker + ) + if (hasLine[[i]]) { + warning( + "Can't map size to lines since plotly.js doesn't yet support line.width arrays", + call. = FALSE + ) + } + if (hasText[[i]]) { + warning( + "Can't map size to text since plotly.js doesn't yet support textfont.size arrays", + call. = FALSE + ) + } + } + traces +} + # appends a new (empty) trace to generate (plot-wide) colorbar/colorscale mapColor <- function(traces, title = "", na.color = "transparent") { color <- lapply(traces, "[[", "color") @@ -158,7 +206,6 @@ mapColor <- function(traces, title = "", na.color = "transparent") { } isNumeric <- vapply(color, is.numeric, logical(1)) isDiscrete <- vapply(color, is.discrete, logical(1)) - # color/colorscale/colorbar attribute placement depends on trace type and marker mode types <- vapply(traces, function(tr) tr$type, character(1)) modes <- vapply(traces, function(tr) tr$mode, character(1)) @@ -280,8 +327,13 @@ mapSymbol <- function(traces) { } # symbol values are duplicated (there is a valid numeric and character string for each symbol) validSymbols <- as.character(Schema$traces$scatter$attributes$marker$symbol$values) - symbols <- unique(unlist(lapply(traces, "[[", "symbols"))) %||% - grep("[0-9]", validSymbols, invert = TRUE, value = TRUE) + # give a sensible ordering the valid symbols so that we map + # to a palette that can be easily perceived + symbolPalette <- c( + 'circle', 'cross', 'diamond', 'square', 'triangle-down', + 'triangle-left', 'triangle-right', 'triangle-up' + ) + symbols <- unique(unlist(traces[[1]]$symbols)) %||% symbolPalette illegalSymbols <- setdiff(symbols, validSymbols) if (length(illegalSymbols)) { stop("The following are not valid symbol codes:\n", diff --git a/man/add_lines.Rd b/man/add_lines.Rd index 297ddeb890..5fa1907ae9 100644 --- a/man/add_lines.Rd +++ b/man/add_lines.Rd @@ -7,6 +7,6 @@ add_lines(p, ...) } \description{ -Add lines to a plotly vis +Equivalent to \code{add_paths}, but with the x-values sorted. } diff --git a/man/add_paths.Rd b/man/add_paths.Rd new file mode 100644 index 0000000000..a85e143124 --- /dev/null +++ b/man/add_paths.Rd @@ -0,0 +1,12 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/add.R +\name{add_paths} +\alias{add_paths} +\title{Add paths to a plotly vis} +\usage{ +add_paths(p, ...) +} +\description{ +Add paths to a plotly vis +} + diff --git a/man/plot_ly.Rd b/man/plot_ly.Rd index cdf7486b85..3109651a53 100644 --- a/man/plot_ly.Rd +++ b/man/plot_ly.Rd @@ -5,8 +5,8 @@ \title{Initiate a plotly visualization} \usage{ plot_ly(data = data.frame(), ..., type = NULL, color, colors = NULL, - symbol, symbols = NULL, size, linetype, linetypes = NULL, width = NULL, - height = NULL, source = "A") + symbol, symbols = NULL, size, sizes = c(10, 100), linetype, + linetypes = NULL, width = NULL, height = NULL, source = "A") } \arguments{ \item{data}{A data frame (optional).} @@ -29,6 +29,8 @@ or a color interpolation function like \code{colorRamp()}.} \item{size}{A variable name or numeric vector to encode the size of markers.} +\item{sizes}{a numeric vector of length 2 used to scale sizes to pixels.} + \item{linetype}{Either a variable name or a (discrete) vector to use for linetype encoding.} \item{linetypes}{A character vector of line types. For possible values, see \link{schema}.} @@ -49,32 +51,46 @@ Reference section (see below). \examples{ \dontrun{ -# If you don't explicitly add a trace, via add_trace() or similar, -# plot_ly() will add one for you, and infer an appropriate trace type +# plot_ly() tries to create a sensible plot based on the information you +# give it. If you don't provide a trace type, plot_ly() will infer one. plot_ly(economics, x = ~pop) plot_ly(economics, x = ~date, y = ~pop) +# plot_ly() doesn't require data frame(s), which allows one to take +# advantage of trace type(s) designed specifically for numeric matrices +plot_ly(z = volcano) +plot_ly(z = volcano, type = "surface") + +# plotly has a functional interface: every plotly function takes a plotly +# object as it's first input argument and returns a modified plotly object +add_points(plot_ly(economics, x = ~date, y = ~unemploy/pop)) -# Attributes set in plot_ly() define 'global' attributes that +# To make code more readable, plotly imports the pipe operator from magrittr +economics \%>\% plot_ly(x = ~date, y = ~unemploy/pop) \%>\% add_points() + +# Attributes defined via plot_ly() set 'global' attributes that # are carried onto subsequent traces plot_ly(economics, x = ~date, line = list(color = "black")) \%>\% add_trace(y = ~uempmed, mode = "markers+lines") \%>\% - add_lines(y = ~psavert) - -plot_ly(economics, x = ~date) \%>\% - add_lines(y = ~uempmed) \%>\% - add_lines(y = ~fitted(loess(uempmed ~ as.numeric(date)))) + add_lines(y = ~psavert) \%>\% + layout(title = "Setting global trace attributes") + +# Attributes are documented in the figure reference -> https://plot.ly/r/reference +# You might notice plot_ly() has named arguments that aren't in the figure +# reference. These arguments make it easier to map abstract data values to +# visual attributes. +p <- plot_ly(iris, x = ~Sepal.Width, y = ~Sepal.Length) +add_markers(p, color = ~Petal.Length) +add_markers(p, color = ~Species) +add_markers(p, color = ~Species, colors = "Set1") +add_paths(p, line = ~Species) -p <- plot_ly(economics, x = ~date, y = ~uempmed) -# add a loess smoother -p2 <- add_trace(p, y = ~fitted(loess(uempmed ~ as.numeric(date)))) -# add a title -p3 <- layout(p2, title = "Median duration of unemployment (in weeks)") -# change the font -layout(p3, font = list(family = "Courier New, monospace")) - + + + plot_ly(economics, x = ~date) \%>\% + add_lines(y = ~uempmed) \%>\% + add_lines(y = ~fitted(loess(uempmed ~ as.numeric(date)))) \%>\% + layout(title = "Median duration of unemployment (in weeks)") -# using the color argument -plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop, mode = "markers") # smooth gradient between 5 colors plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop, colors = terrain.colors(5), mode = "markers") @@ -87,10 +103,6 @@ plot_ly(economics, x = ~unemploy / pop, color = ~decade(date), type = "box") plot_ly(economics, x = ~date, y = ~unemploy / pop, linetype = ~decade(date)) -# sometimes, a data frame isn't fit for the use case... -# for 3D surface plots, a numeric matrix is more natural -plot_ly(z = volcano, type = "surface") - } } diff --git a/man/plotly-data.Rd b/man/plotly-data.Rd index 404692fc59..11f11aa837 100644 --- a/man/plotly-data.Rd +++ b/man/plotly-data.Rd @@ -16,29 +16,29 @@ \alias{ungroup.plotly} \title{Data manipulation verbs for plotly.} \usage{ -groups.plotly(x) +\method{groups}{plotly}(x) \method{group_by_}{plotly}(.data, ..., .dots, add = FALSE) -ungroup.plotly(x) +\method{ungroup}{plotly}(x) -summarise_.plotly(.data, ..., .dots) +\method{summarise_}{plotly}(.data, ..., .dots) -mutate_.plotly(.data, ..., .dots) +\method{mutate_}{plotly}(.data, ..., .dots) \method{arrange_}{plotly}(.data, ..., .dots) -select_.plotly(.data, ..., .dots) +\method{select_}{plotly}(.data, ..., .dots) -filter_.plotly(.data, ..., .dots) +\method{filter_}{plotly}(.data, ..., .dots) \method{distinct_}{plotly}(.data, ..., .dots) -slice_.plotly(.data, ..., .dots) +\method{slice_}{plotly}(.data, ..., .dots) -rename_.plotly(.data, ..., .dots) +\method{rename_}{plotly}(.data, ..., .dots) -transmute_.plotly(.data, ..., .dots) +\method{transmute_}{plotly}(.data, ..., .dots) } \description{ Data manipulation verbs for plotly. diff --git a/man/plotly_data.Rd b/man/plotly_data.Rd index b8087dff52..f7879f36bd 100644 --- a/man/plotly_data.Rd +++ b/man/plotly_data.Rd @@ -18,29 +18,29 @@ \usage{ plotly_data(p, id = p$x$cur_data) -groups.plotly(x) +\method{groups}{plotly}(x) \method{group_by_}{plotly}(.data, ..., .dots, add = FALSE) -ungroup.plotly(x) +\method{ungroup}{plotly}(x) -summarise_.plotly(.data, ..., .dots) +\method{summarise_}{plotly}(.data, ..., .dots) -mutate_.plotly(.data, ..., .dots) +\method{mutate_}{plotly}(.data, ..., .dots) \method{arrange_}{plotly}(.data, ..., .dots) -select_.plotly(.data, ..., .dots) +\method{select_}{plotly}(.data, ..., .dots) -filter_.plotly(.data, ..., .dots) +\method{filter_}{plotly}(.data, ..., .dots) \method{distinct_}{plotly}(.data, ..., .dots) -slice_.plotly(.data, ..., .dots) +\method{slice_}{plotly}(.data, ..., .dots) -rename_.plotly(.data, ..., .dots) +\method{rename_}{plotly}(.data, ..., .dots) -transmute_.plotly(.data, ..., .dots) +\method{transmute_}{plotly}(.data, ..., .dots) } \description{ \code{plotly_data()} returns the data associated with diff --git a/tests/testthat/test-plotly.R b/tests/testthat/test-plotly.R index 2039433bc0..fb3387c616 100644 --- a/tests/testthat/test-plotly.R +++ b/tests/testthat/test-plotly.R @@ -93,17 +93,18 @@ test_that("axis titles get attached to scene object for 3D plots", { expect_identical(scene$zaxis$title, "Sepal.Width") }) -test_that("inheriting properties works as expected", { - library(dplyr) - p <- iris %>% - count(Species) %>% - plot_ly(x = ~Species, y = ~n, opacity = 0.5, type = "bar") %>% - layout(barmode = "overlay", showlegend = FALSE) - s <- count(iris[sample(nrow(iris), 10), ], Species) - p2 <- add_trace(p, data = s) - l <- plotly_build(p2) - expect_equal(l$data[[2]]$opacity, 0.5) - expect_true(all(l$data[[1]]$y > l$data[[2]]$y)) +test_that("type inference + add_data + layering works as expected", { +p <- plot_ly(iris, x = ~Species) %>% + add_trace(opacity = 0.3) %>% + add_data(iris[sample(nrow(iris), 10), ]) %>% + add_trace() %>% + layout(barmode = "overlay") + l <- expect_traces(p, 2, "bar-inference") + types <- unique(unlist(lapply(l$data, "[[", "type"))) + expect_equal(types, "histogram") + expect_equal(l$data[[1]]$opacity, 0.3) + expect_equal(l$layout$barmode, "overlay") + expect_true(length(l$data[[1]]$x) > length(l$data[[2]]$x)) }) test_that("x/y/z properties have a class of AsIs", { From b4d482d2f4a3627f197da365dc2c24066b74220d Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Fri, 17 Jun 2016 15:19:16 -0500 Subject: [PATCH 26/73] fix NAMESPACE --- NAMESPACE | 24 ++++++++++++------------ man/plot_ly.Rd | 24 +++--------------------- man/plotly-data.Rd | 24 ++++++++++++------------ man/plotly_data.Rd | 24 ++++++++++++------------ 4 files changed, 39 insertions(+), 57 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index 78cf0d3f44..4d00ceaa02 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,8 +1,5 @@ # Generated by roxygen2: do not edit by hand -S3method(arrange_,plotly) -S3method(distinct_,plotly) -S3method(filter_,plotly) S3method(geom2trace,GeomBar) S3method(geom2trace,GeomBlank) S3method(geom2trace,GeomBoxplot) @@ -16,19 +13,12 @@ S3method(geom2trace,GeomTile) S3method(geom2trace,default) S3method(ggplotly,ggmatrix) S3method(ggplotly,ggplot) -S3method(group_by_,plotly) -S3method(groups,plotly) S3method(layout,matrix) S3method(layout,plotly) -S3method(mutate_,plotly) S3method(plotly_build,gg) S3method(plotly_build,list) S3method(plotly_build,plotly) S3method(print,plotly_figure) -S3method(rename_,plotly) -S3method(select_,plotly) -S3method(slice_,plotly) -S3method(summarise_,plotly) S3method(to_basic,GeomAbline) S3method(to_basic,GeomArea) S3method(to_basic,GeomBoxplot) @@ -54,8 +44,6 @@ S3method(to_basic,GeomTile) S3method(to_basic,GeomViolin) S3method(to_basic,GeomVline) S3method(to_basic,default) -S3method(transmute_,plotly) -S3method(ungroup,plotly) export("%>%") export(add_data) export(add_lines) @@ -65,18 +53,24 @@ export(add_polygons) export(add_ribbons) export(add_text) export(add_trace) +export(arrange_.plotly) export(as.widget) export(config) +export(distinct_.plotly) export(embed_notebook) export(event_data) export(export) +export(filter_.plotly) export(geom2trace) export(get_figure) export(gg2list) export(ggplotly) export(group_by) +export(group_by_.plotly) +export(groups.plotly) export(knit_print.plotly_figure) export(layout) +export(mutate_.plotly) export(offline) export(plot_ly) export(plotly) @@ -87,14 +81,20 @@ export(plotly_build) export(plotly_data) export(plotly_empty) export(plotly_json) +export(rename_.plotly) export(renderPlotly) export(schema) +export(select_.plotly) export(signup) +export(slice_.plotly) export(style) export(subplot) +export(summarise_.plotly) export(toRGB) export(toWebGL) export(to_basic) +export(transmute_.plotly) +export(ungroup.plotly) import(ggplot2) importFrom(base64enc,base64encode) importFrom(dplyr,arrange_) diff --git a/man/plot_ly.Rd b/man/plot_ly.Rd index 3109651a53..d43ee9f7b7 100644 --- a/man/plot_ly.Rd +++ b/man/plot_ly.Rd @@ -79,29 +79,11 @@ plot_ly(economics, x = ~date, line = list(color = "black")) \%>\% # reference. These arguments make it easier to map abstract data values to # visual attributes. p <- plot_ly(iris, x = ~Sepal.Width, y = ~Sepal.Length) -add_markers(p, color = ~Petal.Length) +add_markers(p, color = ~Petal.Length, size = ~Petal.Length) add_markers(p, color = ~Species) add_markers(p, color = ~Species, colors = "Set1") -add_paths(p, line = ~Species) - - - - plot_ly(economics, x = ~date) \%>\% - add_lines(y = ~uempmed) \%>\% - add_lines(y = ~fitted(loess(uempmed ~ as.numeric(date)))) \%>\% - layout(title = "Median duration of unemployment (in weeks)") - -# smooth gradient between 5 colors -plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop, - colors = terrain.colors(5), mode = "markers") - -# function to extract the decade of a given date -decade <- function(x) { - factor(floor(as.numeric(format(x, "\%Y")) / 10) * 10) -} -plot_ly(economics, x = ~unemploy / pop, color = ~decade(date), type = "box") - -plot_ly(economics, x = ~date, y = ~unemploy / pop, linetype = ~decade(date)) +add_markers(p, symbol = ~Species) +add_paths(p, linetype = ~Species) } diff --git a/man/plotly-data.Rd b/man/plotly-data.Rd index 11f11aa837..15472f78f6 100644 --- a/man/plotly-data.Rd +++ b/man/plotly-data.Rd @@ -16,29 +16,29 @@ \alias{ungroup.plotly} \title{Data manipulation verbs for plotly.} \usage{ -\method{groups}{plotly}(x) +groups.plotly(x) -\method{group_by_}{plotly}(.data, ..., .dots, add = FALSE) +group_by_.plotly(.data, ..., .dots, add = FALSE) -\method{ungroup}{plotly}(x) +ungroup.plotly(x) -\method{summarise_}{plotly}(.data, ..., .dots) +summarise_.plotly(.data, ..., .dots) -\method{mutate_}{plotly}(.data, ..., .dots) +mutate_.plotly(.data, ..., .dots) -\method{arrange_}{plotly}(.data, ..., .dots) +arrange_.plotly(.data, ..., .dots) -\method{select_}{plotly}(.data, ..., .dots) +select_.plotly(.data, ..., .dots) -\method{filter_}{plotly}(.data, ..., .dots) +filter_.plotly(.data, ..., .dots) -\method{distinct_}{plotly}(.data, ..., .dots) +distinct_.plotly(.data, ..., .dots) -\method{slice_}{plotly}(.data, ..., .dots) +slice_.plotly(.data, ..., .dots) -\method{rename_}{plotly}(.data, ..., .dots) +rename_.plotly(.data, ..., .dots) -\method{transmute_}{plotly}(.data, ..., .dots) +transmute_.plotly(.data, ..., .dots) } \description{ Data manipulation verbs for plotly. diff --git a/man/plotly_data.Rd b/man/plotly_data.Rd index f7879f36bd..d45f8732ac 100644 --- a/man/plotly_data.Rd +++ b/man/plotly_data.Rd @@ -18,29 +18,29 @@ \usage{ plotly_data(p, id = p$x$cur_data) -\method{groups}{plotly}(x) +groups.plotly(x) -\method{group_by_}{plotly}(.data, ..., .dots, add = FALSE) +group_by_.plotly(.data, ..., .dots, add = FALSE) -\method{ungroup}{plotly}(x) +ungroup.plotly(x) -\method{summarise_}{plotly}(.data, ..., .dots) +summarise_.plotly(.data, ..., .dots) -\method{mutate_}{plotly}(.data, ..., .dots) +mutate_.plotly(.data, ..., .dots) -\method{arrange_}{plotly}(.data, ..., .dots) +arrange_.plotly(.data, ..., .dots) -\method{select_}{plotly}(.data, ..., .dots) +select_.plotly(.data, ..., .dots) -\method{filter_}{plotly}(.data, ..., .dots) +filter_.plotly(.data, ..., .dots) -\method{distinct_}{plotly}(.data, ..., .dots) +distinct_.plotly(.data, ..., .dots) -\method{slice_}{plotly}(.data, ..., .dots) +slice_.plotly(.data, ..., .dots) -\method{rename_}{plotly}(.data, ..., .dots) +rename_.plotly(.data, ..., .dots) -\method{transmute_}{plotly}(.data, ..., .dots) +transmute_.plotly(.data, ..., .dots) } \description{ \code{plotly_data()} returns the data associated with From f201bcc7d12428fbc089b1b5afa45eaab83c6c22 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Mon, 20 Jun 2016 08:40:44 -0500 Subject: [PATCH 27/73] remove redundant R/dplyr.R --- R/dplyr.R | 155 ------------------------------------------------------ 1 file changed, 155 deletions(-) delete mode 100644 R/dplyr.R diff --git a/R/dplyr.R b/R/dplyr.R deleted file mode 100644 index ad78661202..0000000000 --- a/R/dplyr.R +++ /dev/null @@ -1,155 +0,0 @@ -#' Data manipulation verbs for plotly. -#' -#' @name plotly-data -#' @keywords internal -#' @examples -#' -#' # loading dplyr is super important! -#' library(dplyr) -#' -#' mtcars %>% -#' plot_ly(x = ~wt, y = ~mpg, name = "scatter trace") %>% -#' filter(cyl == 4) %>% -#' add_markers(x = ~wt, y = ~mpg, name = "filtered points", -#' marker = list(color = "red")) -#' -#' library(tidyr) -#' economics %>% -#' gather(variable, value, -date) %>% -#' group_by(variable) %>% -#' plot_ly(x = ~date, y = ~value) -#' -#' -#' -#' -NULL - -#' @export -#' @rdname plotly-data -groups.plotly <- function(x) { - dplyr::groups(plotly_data(x)) -} - -#' @export -#' @rdname plotly-data -group_by_.plotly <- function(.data, ..., .dots, add = FALSE) { - d <- plotly_data(.data) - d <- dplyr::group_by_(d, .dots = lazyeval::all_dots(.dots, ...), add = add) - # TODO: where to use group2NA? In plotly_build() - add_data(.data, d) -} - -#' @export -#' @rdname plotly-data -ungroup.plotly <- function(x) { - dplyr::ungroup(plotly_data(x)) -} - -#' @rdname plotly-data -#' @export -summarise_.plotly <- function(.data, ..., .dots) { - d <- plotly_data(.data) - d <- dplyr::summarise_(d, .dots = lazyeval::all_dots(.dots, ...)) - add_data(.data, d) -} - -#' @rdname plotly-data -#' @export -mutate_.plotly <- function(.data, ..., .dots) { - d <- plotly_data(.data) - d <- dplyr::mutate_(d, .dots = lazyeval::all_dots(.dots, ...)) - add_data(.data, d) -} - -#' @rdname plotly-data -#' @export -arrange_.plotly <- function(.data, ..., .dots) { - d <- plotly_data(.data) - d <- dplyr::arrange_(d, .dots = lazyeval::all_dots(.dots, ...)) - add_data(.data, d) -} - -#' @rdname plotly-data -#' @export -select_.plotly <- function(.data, ..., .dots) { - d <- plotly_data(.data) - d <- dplyr::select_(d, .dots = lazyeval::all_dots(.dots, ...)) - add_data(.data, d) -} - -#' @rdname plotly-data -#' @export -filter_.plotly <- function(.data, ..., .dots) { - d <- plotly_data(.data) - d <- dplyr::filter_(d, .dots = lazyeval::all_dots(.dots, ...)) - add_data(.data, d) -} - -#' @rdname plotly-data -#' @export -distinct_.plotly <- function(.data, ..., .dots) { - d <- plotly_data(.data) - d <- dplyr::distinct_(d, ..., .dots, add = add) - add_data(.data, d) -} - -#' @rdname plotly-data -#' @export -slice_.plotly <- function(.data, ..., .dots) { - d <- plotly_data(.data) - d <- dplyr::slice_(d, ..., .dots, add = add) - add_data(.data, d) -} - -#' @rdname plotly-data -#' @export -rename_.plotly <- function(.data, ..., .dots) { - d <- plotly_data(.data) - d <- dplyr::rename_(d, ..., .dots, add = add) - add_data(.data, d) -} - -#' @rdname plotly-data -#' @export -transmute_.plotly <- function(.data, ..., .dots) { - d <- plotly_data(.data) - d <- dplyr::transmute_(d, ..., .dots, add = add) - add_data(.data, d) -} - -#' Insert missing values to create trace groupings -#' -#' If a group of traces share the same non-positional characteristics (i.e., -#' color, fill, etc), it is more efficient to draw them as a single trace -#' with missing values that separate the groups (instead of multiple traces). -#' This is a helper function for inserting missing values into a data set -#' -#' @param data a data frame. -#' @param groupNames name(s) of the grouping variable(s) as a character vector -#' @param nested other variables that group should be nested -#' (i.e., ordered) within. -#' @param retrace.first should the first row of each group be appended to the -#' last row? This is useful for enclosing polygons with lines. -#' @examples -#' elong <- tidyr::gather(economics, variable, value, -date) -#' plot_ly(group2NA(elong, "variable"), x = ~date, y = ~value) -#' - -group2NA <- function(data, groupNames = "group", nested = NULL, - retrace.first = inherits(data, "GeomPolygon")) { - if (nrow(data) == 0) return(data) - nested <- nested[nested %in% names(data)] - if (length(nested)) { - data <- dplyr::arrange_(data, nested) - } - d <- dplyr::group_by_(data, groupNames) - d <- if (retrace.first) { - dplyr::do(d, rbind(., .[1,], NA)) - } else { - dplyr::do(d, rbind(., NA)) - } - d <- tidyr::unnest(d) - n <- nrow(d) - if (all(is.na(d[n, ]))) d <- d[-n, ] - structure(d, class = unique(class(data), class(d))) -} From 653a58468234482d7244f004acd564f2d604d615 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Mon, 20 Jun 2016 10:04:04 -0500 Subject: [PATCH 28/73] fix grouping within multiple traces; fix axis titles; fix hovermode defaults --- R/plotly_build.R | 63 ++++++++++++++++++++++++++++++++---------------- R/plotly_data.R | 23 +++++++++++------- R/utils.R | 12 +++++++++ 3 files changed, 68 insertions(+), 30 deletions(-) diff --git a/R/plotly_build.R b/R/plotly_build.R index 789ab58b40..85a786f8e3 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -61,21 +61,36 @@ plotly_build.plotly <- function(p) { if (length(idx) == 1) { title <- sub("^~", "", deparse2(x[[idx]])) if (is3d(x$type)) { - p$x$layout$scene[[nm]]$title <- title + p$x$layout$scene[[nm]]$title <<- title } else { - p$x$layout[[nm]]$title <- title + p$x$layout[[nm]]$title <<- title } } } # perform the evaluation d <- plotly_data(p, y) + grps <- dplyr::groups(d) + if (length(grps)) { + # in order to do grouping _within trace_ correctly, we need to know about + # variables that transform one trace into multiple traces + nestedVars <- list() + for (i in c("symbol", "linetype", "color")) { + newVar <- eval_attr(x[[i]], d) + if (is.null(newVar) || i == "color" && !is.discrete(newVar)) next + id <- paste0("x", new_id()) + nestedVars[[id]] <- i + d[[id]] <- newVar + } + d <- group2NA(d, as.character(grps), names(nestedVars)) + } + x <- rapply(x, eval_attr, data = d, how = "list") + # ensure we have a trace type x <- verify_type(x) attrLengths <- lengths(x) - # if appropriate, set the mode now since we need to reference it later if (grepl("scatter", x$type) && is.null(x$mode)) { x$mode <- if (any(attrLengths > 20)) "lines" else "markers+lines" @@ -85,24 +100,25 @@ plotly_build.plotly <- function(p) { }, p$x$attrs, names(p$x$attrs)) - # "transforms" (i.e., apply scaling to) for special arguments - # TODO: should non-formula object names populate titles? + # "transforms" of (i.e., apply scaling to) special arguments + # IMPORTANT: these should be applied at the plot-level colorTitle <- unlist(lapply(p$x$attrs, "[[", "color"))[[1]] - dats <- mapColor(dats, title = sub("^~", "", deparse2(colorTitle))) - dats <- mapSize(dats) - dats <- mapSymbol(dats) - dats <- mapLinetype(dats) + dats <- map_color(dats, title = sub("^~", "", deparse2(colorTitle))) + dats <- map_size(dats) + dats <- map_symbol(dats) + dats <- map_linetype(dats) # traceify by the interaction of discrete variables + # although I hate this programming pattern, it seems necessary since we don't + # know how many traces we need traces <- list() for (i in seq_along(dats)) { d <- dats[[i]] - # no longer need these special variable mapping attributes - specialAttrs <- c( + mappingAttrs <- c( "color", "colors", "symbol", "symbols", "linetype", "linetypes", "size", "sizes" ) - for (j in specialAttrs) { + for (j in mappingAttrs) { dats[[i]][[j]] <- NULL } params <- list( @@ -151,10 +167,11 @@ plotly_build.plotly <- function(p) { # annotations & shapes must be an array of objects # TODO: should we add anything else to this? verify_arrays(p) + # set a sensible hovermode if it hasn't been specified already + verify_hovermode(p) } - -mapSize <- function(traces) { +map_size <- function(traces) { sizeList <- lapply(traces, "[[", "size") nSizes <- lengths(sizeList) # if no "top-level" color is present, return traces untouched @@ -169,7 +186,7 @@ mapSize <- function(traces) { sizeRange <- range(allSize, na.rm = TRUE) types <- vapply(traces, function(tr) tr$type, character(1)) - modes <- vapply(traces, function(tr) tr$mode, character(1)) + modes <- vapply(traces, function(tr) tr$mode %||% "lines", character(1)) hasMarker <- has_marker(types, modes) hasLine <- has_line(types, modes) hasText <- has_text(types, modes) @@ -197,7 +214,7 @@ mapSize <- function(traces) { } # appends a new (empty) trace to generate (plot-wide) colorbar/colorscale -mapColor <- function(traces, title = "", na.color = "transparent") { +map_color <- function(traces, title = "", na.color = "transparent") { color <- lapply(traces, "[[", "color") nColors <- lengths(color) # if no "top-level" color is present, return traces untouched @@ -206,9 +223,12 @@ mapColor <- function(traces, title = "", na.color = "transparent") { } isNumeric <- vapply(color, is.numeric, logical(1)) isDiscrete <- vapply(color, is.discrete, logical(1)) + if (any(isNumeric & isDiscrete)) { + stop("Can't have both discrete and numeric color mappings", call. = FALSE) + } # color/colorscale/colorbar attribute placement depends on trace type and marker mode types <- vapply(traces, function(tr) tr$type, character(1)) - modes <- vapply(traces, function(tr) tr$mode, character(1)) + modes <- vapply(traces, function(tr) tr$mode %||% "lines", character(1)) hasMarker <- has_marker(types, modes) hasLine <- has_line(types, modes) hasText <- has_text(types, modes) @@ -222,7 +242,7 @@ mapColor <- function(traces, title = "", na.color = "transparent") { rng <- range(allColor, na.rm = TRUE) colScale <- scales::col_numeric(palette, rng, na.color = na.color) # generate the colorscale to be shared across traces - vals <- if (diff(rng) > 0) as.numeric(quantile(allColor)) else c(0, 1) + vals <- if (diff(rng) > 0) as.numeric(quantile(allColor, na.rm = TRUE)) else c(0, 1) colorScale <- matrix(c(scales::rescale(vals), colScale(vals)), ncol = 2) colorObj <- list( colorbar = list(title = as.character(title), ticklen = 2), @@ -306,7 +326,7 @@ mapColor <- function(traces, title = "", na.color = "transparent") { traces } -mapSymbol <- function(traces) { +map_symbol <- function(traces) { symbolList <- lapply(traces, "[[", "symbol") nSymbols <- lengths(symbolList) # if no "top-level" symbol is present, return traces untouched @@ -354,7 +374,7 @@ mapSymbol <- function(traces) { traces } -mapLinetype <- function(traces) { +map_linetype <- function(traces) { linetypeList <- lapply(traces, "[[", "linetype") nLinetypes <- lengths(linetypeList) # if no "top-level" linetype is present, return traces untouched @@ -401,10 +421,11 @@ mapLinetype <- function(traces) { # a particular key name traceify <- function(dat, x = NULL) { if (length(x) == 0) return(list(dat)) + lvls <- if (is.factor(x)) levels(x) else unique(x) # the order of lvls determines the order in which traces are drawn # for ordered factors at least, it makes sense to draw the highest level first # since that _should_ be the darkest color in a sequential pallette - lvls <- if (is.factor(x)) rev(levels(x)) else unique(x) + if (is.ordered(x)) lvls <- rev(lvls) n <- length(x) # recursively search for a non-list of appropriate length (if it is, subset it) recurse <- function(z, n, idx) { diff --git a/R/plotly_data.R b/R/plotly_data.R index 3b1f6e71dd..0e4cb33d05 100644 --- a/R/plotly_data.R +++ b/R/plotly_data.R @@ -152,6 +152,9 @@ transmute_.plotly <- function(.data, ..., .dots) { #' @param retrace.first should the first row of each group be appended to the #' last row? This is useful for enclosing polygons with lines. #' @examples +#' +#' group2NA(mtcars, "vs", "cyl") +#' #' elong <- tidyr::gather(economics, variable, value, -date) #' plot_ly(group2NA(elong, "variable"), x = ~date, y = ~value) #' @@ -159,18 +162,20 @@ transmute_.plotly <- function(.data, ..., .dots) { group2NA <- function(data, groupNames = "group", nested = NULL, retrace.first = inherits(data, "GeomPolygon")) { if (nrow(data) == 0) return(data) - nested <- nested[nested %in% names(data)] - if (length(nested)) { - data <- dplyr::arrange_(data, nested) + # arrange + group_by + vars <- c(nested, groupNames) + data <- data[do.call(order, data[, vars]), ] + for (i in vars) { + data <- dplyr::group_by_(data, i, add = TRUE) } - d <- dplyr::group_by_(data, groupNames) d <- if (retrace.first) { - dplyr::do(d, rbind(., .[1,], NA)) + dplyr::do(data, rbind(., .[1,], NA)) } else { - dplyr::do(d, rbind(., NA)) + dplyr::do(data, rbind(., NA)) } - d <- tidyr::unnest(d, groupNames) - n <- nrow(d) - if (all(is.na(d[n, !groupNames %in% names(d)]))) d <- d[-n, ] + #d <- tidyr::unnest(d, vars) + d <- d[, names(d) %in% names(data)] + n <- NROW(d) + if (all(is.na(d[n, ]))) d <- d[-n, ] structure(d, class = unique(class(data), class(d))) } diff --git a/R/utils.R b/R/utils.R index de4fe1427f..fea74694a2 100644 --- a/R/utils.R +++ b/R/utils.R @@ -207,6 +207,18 @@ verify_arrays <- function(p) { p } +verify_hovermode <- function(p) { + if (!is.null(p$x$layout$hovermode)) { + return(p) + } + types <- vapply(p$x$data, function(tr) tr$type, character(1)) + modes <- vapply(p$x$data, function(tr) tr$mode %||% "lines", character(1)) + if (any(grepl("markers", modes) & types == "scatter")) { + p$x$layout$hovermode <- "closest" + } + p +} + has_marker <- function(types, modes) { is_scatter <- grepl("scatter", types) ifelse(is_scatter, grepl("marker", modes), has_attr(types, "marker")) From 2d3f36894932f3d8d395a36f8b5073f3c3175c1f Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Mon, 20 Jun 2016 13:11:54 -0500 Subject: [PATCH 29/73] fix has_attr --- R/utils.R | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/R/utils.R b/R/utils.R index fea74694a2..41893c4443 100644 --- a/R/utils.R +++ b/R/utils.R @@ -99,6 +99,7 @@ verify_box <- function(proposed, schema) { identical(attrSchema[["role"]], "object"), error = function(e) FALSE ) + if (isArray) { proposed[[attr]] <- i(attrVal) } @@ -234,12 +235,9 @@ has_text <- function(types, modes) { ifelse(is_scatter, grepl("text", modes), has_attr(types, "textfont")) } -has_attr <- function(types, attr) { - isMissing <- function(x) { - e <- try(verify_attrs(x, attr), silent = TRUE) - inherits(e, "try-error") - } - !vapply(types, isMissing, logical(1), USE.NAMES = FALSE) +has_attr <- function(types, attr = "marker") { + if (length(attr) != 1) stop("attr must be of length 1") + vapply(types, function(x) attr %in% names(Schema$traces[[x]]$attributes), logical(1)) } has_legend <- function(p) { From ec48625d2d7ebb0beb8b0937fca5981170e3c805 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Mon, 20 Jun 2016 13:12:15 -0500 Subject: [PATCH 30/73] fix uniq --- R/ggplotly.R | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/R/ggplotly.R b/R/ggplotly.R index 6d7ade9027..06e898e9b3 100644 --- a/R/ggplotly.R +++ b/R/ggplotly.R @@ -846,9 +846,11 @@ faced <- function(txt, face = "plain") { bold <- function(x) paste("", x, "") italic <- function(x) paste("", x, "") -# if a vector has one unique value, return that value +# if a vector that has one unique value (ignoring missings), return that value uniq <- function(x) { u <- unique(x) + if (identical(u, NA) || length(u) == 0) return(u) + u <- u[!is.na(u)] if (length(u) == 1) u else x } @@ -902,7 +904,9 @@ rect2shape <- function(rekt = ggplot2::element_rect()) { # We need access to internal ggplot2 functions in several places # this helps us import functions in a way that R CMD check won't cry about -ggfun <- function(x) getFromNamespace(x, "ggplot2") +ggfun <- function(x) { + tryCatch(getFromNamespace(x, "ggplot2"), error = function(e) NULL) +} ggtype <- function(x, y = "geom") { sub(y, "", tolower(class(x[[y]])[1])) From 3d618ba55061da2f769debd5f8ceb79c4f4ad89a Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Mon, 20 Jun 2016 13:13:43 -0500 Subject: [PATCH 31/73] improve group2NA; fix zcolor bugs; improve tests --- R/plotly_build.R | 37 ++++++++++++++++++---------- R/plotly_data.R | 23 +++++++++++++---- tests/testthat/test-plotly-subplot.R | 2 +- tests/testthat/test-plotly.R | 31 ++++++++++++++--------- 4 files changed, 62 insertions(+), 31 deletions(-) diff --git a/R/plotly_build.R b/R/plotly_build.R index 85a786f8e3..16e649d614 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -53,14 +53,13 @@ plotly_build.plotly <- function(p) { } dats <- Map(function(x, y) { - # add sensible axis names to layout for (i in c("x", "y", "z")) { nm <- paste0(i, "axis") idx <- which(names(x) %in% i) if (length(idx) == 1) { title <- sub("^~", "", deparse2(x[[idx]])) - if (is3d(x$type)) { + if (is3d(x$type) || i == "z") { p$x$layout$scene[[nm]]$title <<- title } else { p$x$layout[[nm]]$title <<- title @@ -68,10 +67,13 @@ plotly_build.plotly <- function(p) { } } - # perform the evaluation d <- plotly_data(p, y) + # if the data has groups, insert missing values to introduce gaps grps <- dplyr::groups(d) if (length(grps)) { + if (isTRUE(x$connectgaps)) { + stop("Can't set connectgaps=T in a trace that has 1 or more groups.", call. = FALSE) + } # in order to do grouping _within trace_ correctly, we need to know about # variables that transform one trace into multiple traces nestedVars <- list() @@ -85,9 +87,10 @@ plotly_build.plotly <- function(p) { d <- group2NA(d, as.character(grps), names(nestedVars)) } + # perform the evaluation x <- rapply(x, eval_attr, data = d, how = "list") - # ensure we have a trace type + # ensure we have a trace type (depends on the # of data points) x <- verify_type(x) attrLengths <- lengths(x) @@ -102,7 +105,7 @@ plotly_build.plotly <- function(p) { # "transforms" of (i.e., apply scaling to) special arguments # IMPORTANT: these should be applied at the plot-level - colorTitle <- unlist(lapply(p$x$attrs, "[[", "color"))[[1]] + colorTitle <- unlist(lapply(p$x$attrs, function(x) x$color %||% x$z))[[1]] dats <- map_color(dats, title = sub("^~", "", deparse2(colorTitle))) dats <- map_size(dats) dats <- map_symbol(dats) @@ -159,16 +162,16 @@ plotly_build.plotly <- function(p) { p$x$data <- setNames(p$x$data, NULL) # verify plot attributes are legal according to the plotly.js spec - verify_attr_names(p) + p <- verify_attr_names(p) # box up 'data_array' attributes where appropriate - verify_boxed(p) + p <- verify_boxed(p) # if it makes sense, add markers/lines/text to mode - verify_mode(p) + p <- verify_mode(p) # annotations & shapes must be an array of objects # TODO: should we add anything else to this? - verify_arrays(p) + p <- verify_arrays(p) # set a sensible hovermode if it hasn't been specified already - verify_hovermode(p) + p <- verify_hovermode(p) } map_size <- function(traces) { @@ -215,7 +218,7 @@ map_size <- function(traces) { # appends a new (empty) trace to generate (plot-wide) colorbar/colorscale map_color <- function(traces, title = "", na.color = "transparent") { - color <- lapply(traces, "[[", "color") + color <- lapply(traces, function(x) x$color %||% if (has_attr(x$type, "zmin")) x$z else NULL) nColors <- lengths(color) # if no "top-level" color is present, return traces untouched if (all(nColors == 0)) { @@ -232,7 +235,7 @@ map_color <- function(traces, title = "", na.color = "transparent") { hasMarker <- has_marker(types, modes) hasLine <- has_line(types, modes) hasText <- has_text(types, modes) - hasZ <- !grepl("scatter", types) & + hasZ <- has_attr(types, "zmin") & any(vapply(traces, function(tr) !is.null(tr$z), logical(1))) if (any(isNumeric)) { @@ -242,7 +245,11 @@ map_color <- function(traces, title = "", na.color = "transparent") { rng <- range(allColor, na.rm = TRUE) colScale <- scales::col_numeric(palette, rng, na.color = na.color) # generate the colorscale to be shared across traces - vals <- if (diff(rng) > 0) as.numeric(quantile(allColor, na.rm = TRUE)) else c(0, 1) + vals <- if (diff(rng) > 0) { + as.numeric(quantile(allColor, probs = seq(0, 1, length.out = 25), na.rm = TRUE)) + } else { + c(0, 1) + } colorScale <- matrix(c(scales::rescale(vals), colScale(vals)), ncol = 2) colorObj <- list( colorbar = list(title = as.character(title), ticklen = 2), @@ -265,6 +272,9 @@ map_color <- function(traces, title = "", na.color = "transparent") { traces[[i]]$marker <- modify_list(colorObj, traces[[i]]$marker) } if (hasZ[[i]]) { + colorObj[c("zmin", "zmax")] <- colorObj[c("cmin", "cmax")] + colorObj[c("cmin", "cmax")] <- NULL + colorObj$showscale <- TRUE traces[[i]] <- modify_list(colorObj, traces[[i]]) } if (hasText[[i]]) { @@ -273,6 +283,7 @@ map_color <- function(traces, title = "", na.color = "transparent") { "https://github.com/plotly/plotly.js", call. = FALSE) } } + if (any(hasZ)) return(traces) # add an "empty" trace with the colorbar colorObj$color <- rng colorObj$showscale <- TRUE diff --git a/R/plotly_data.R b/R/plotly_data.R index 0e4cb33d05..2b04201f77 100644 --- a/R/plotly_data.R +++ b/R/plotly_data.R @@ -162,9 +162,18 @@ transmute_.plotly <- function(.data, ..., .dots) { group2NA <- function(data, groupNames = "group", nested = NULL, retrace.first = inherits(data, "GeomPolygon")) { if (nrow(data) == 0) return(data) - # arrange + group_by + # a few workarounds since dplyr clobbers classes that we rely on in ggplotly + retrace <- force(retrace.first) + datClass <- class(data) + # sanitize variable names + groupNames <- groupNames[groupNames %in% names(data)] + nested <- nested[nested %in% names(data)] + # nothing to do if the group var doesn't exist + if (!length(groupNames)) return(data) + # arrange + group_by, ignoring any already existing groups vars <- c(nested, groupNames) - data <- data[do.call(order, data[, vars]), ] + data <- data[do.call(order, data[, vars, drop = FALSE]), ] + data <- dplyr::ungroup(data) for (i in vars) { data <- dplyr::group_by_(data, i, add = TRUE) } @@ -173,9 +182,13 @@ group2NA <- function(data, groupNames = "group", nested = NULL, } else { dplyr::do(data, rbind(., NA)) } - #d <- tidyr::unnest(d, vars) - d <- d[, names(d) %in% names(data)] + # TODO: how to drop the NAs separating the nested values? + # d <- dplyr::ungroup(d) + # for (i in nested) { + # d <- dplyr::group_by_(dplyr::ungroup(d), i, add = TRUE) + # } + # d <- dplyr::do(d, .[seq_len(NROW(.)),]) n <- NROW(d) if (all(is.na(d[n, ]))) d <- d[-n, ] - structure(d, class = unique(class(data), class(d))) + structure(d, class = datClass) } diff --git a/tests/testthat/test-plotly-subplot.R b/tests/testthat/test-plotly-subplot.R index ed1e858dfc..b1f98a80b4 100644 --- a/tests/testthat/test-plotly-subplot.R +++ b/tests/testthat/test-plotly-subplot.R @@ -146,7 +146,7 @@ test_that("geo+cartesian behaves", { # create a map of population density density <- state.x77[, "Population"] / state.x77[, "Area"] map <- plot_ly( - z = density, + z = ~density, text = state.name, locations = state.abb, type = 'choropleth', locationmode = 'USA-states', geo = "geo" ) %>% layout(geo = g) diff --git a/tests/testthat/test-plotly.R b/tests/testthat/test-plotly.R index fb3387c616..0b96b12394 100644 --- a/tests/testthat/test-plotly.R +++ b/tests/testthat/test-plotly.R @@ -1,5 +1,9 @@ context("plot_ly") +test_that("uniq works as expected", { + expect_equal(uniq(c("red", "red", NA)), "red") +}) + expect_traces <- function(p, n.traces, name){ stopifnot(is.numeric(n.traces)) L <- save_outputs(p, paste0("plotly-", name)) @@ -20,10 +24,11 @@ test_that("plot_ly() handles a simple scatterplot", { test_that("Mapping a variable to symbol works", { p <- plot_ly(data = iris, x = ~Sepal.Length, y = ~Petal.Length, symbol = ~Species) + expect_message(plotly_build(p), "Adding markers to mode") l <- expect_traces(p, 3, "scatterplot-symbol") markers <- lapply(l$data, "[[", "marker") syms <- unlist(lapply(markers, "[[", "symbol")) - expect_identical(syms, c("dot", "cross", "diamond")) + expect_identical(syms, c("circle", "cross", "diamond")) }) test_that("Mapping a factor variable to color works", { @@ -66,21 +71,23 @@ test_that("Passing hex codes to colors argument works", { test_that("Mapping a numeric variable to color works", { p <- plot_ly(iris, x = ~Sepal.Length, y = ~Petal.Length, color = ~Petal.Width, mode = "markers") - l <- expect_traces(p, 1, "scatterplot-color-numeric") - marker <- l$data[[1]]$marker - expect_identical(marker$colorbar$title, "Petal.Width") - expect_identical(marker$color, iris$Petal.Width) - expect_true(all(0 <= marker$colorscale[,1] & marker$colorscale[,1] <= 1)) + # one trace is for the colorbar + l <- expect_traces(p, 2, "scatterplot-color-numeric") + idx <- vapply(l$data, is.colorbar, logical(1)) + markerScale <- l$data[[which(idx)]]$marker + markerDat <- l$data[[which(!idx)]]$marker + expect_identical(markerDat$color, iris$Petal.Width) + expect_identical(markerScale$colorbar$title, "Petal.Width") + expect_equal(min(iris$Petal.Width), markerScale$cmin) + expect_equal(max(iris$Petal.Width), markerScale$cmax) + expect_true(all(0 <= markerScale$colorscale[,1] & markerScale$colorscale[,1] <= 1)) }) test_that("Custom RColorBrewer pallette works for numeric variable", { p <- plot_ly(iris, x = ~Sepal.Length, y = ~Petal.Length, color = ~Petal.Width, colors = "Greens", mode = "markers") - l <- expect_traces(p, 1, "scatterplot-color-numeric-custom") - marker <- l$data[[1]]$marker - expect_identical(marker$colorbar$title, "Petal.Width") - expect_identical(marker$color, iris$Petal.Width) - expect_true(all(0 <= marker$colorscale[,1] & marker$colorscale[,1] <= 1)) + # one trace is for the colorbar + l <- expect_traces(p, 2, "scatterplot-color-numeric-custom") }) test_that("axis titles get attached to scene object for 3D plots", { @@ -109,7 +116,7 @@ p <- plot_ly(iris, x = ~Species) %>% test_that("x/y/z properties have a class of AsIs", { p <- plot_ly(x = 1, y = 1, z = 1, type = "scatter3d") - l <- plotly_build(p) + l <- expect_traces(p, 1, "box-data-array") tr <- l$data[[1]] expect_true(inherits(tr$x, "AsIs")) expect_true(inherits(tr$y, "AsIs")) From 7eafaa7fa6c0bc7113b900e083650a6c05de15f4 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Mon, 20 Jun 2016 13:47:58 -0500 Subject: [PATCH 32/73] update subplot vignette; safer data referencing --- R/plotly_build.R | 5 ++--- R/plotly_data.R | 6 +++++- R/utils.R | 4 ++++ vignettes/subplot.Rmd | 11 ++++------- 4 files changed, 15 insertions(+), 11 deletions(-) diff --git a/R/plotly_build.R b/R/plotly_build.R index 16e649d614..bc5ce8ebd2 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -35,11 +35,10 @@ plotly_build.plotly <- function(p) { layouts <- Map(function(x, y) { d <- plotly_data(p, y) - x <- rapply(x, eval_attr, data = d, how = "list") x[lengths(x) > 0] - }, p$x$layoutAttrs, names(p$x$layoutAttrs)) + }, p$x$layoutAttrs, names2(p$x$layoutAttrs)) # get rid of the data -> layout mapping and merge all the layouts # into a single layout (more recent layouts will override older ones) @@ -101,7 +100,7 @@ plotly_build.plotly <- function(p) { x[attrLengths > 0] - }, p$x$attrs, names(p$x$attrs)) + }, p$x$attrs, names2(p$x$attrs)) # "transforms" of (i.e., apply scaling to) special arguments # IMPORTANT: these should be applied at the plot-level diff --git a/R/plotly_data.R b/R/plotly_data.R index 2b04201f77..90d2f5d1e1 100644 --- a/R/plotly_data.R +++ b/R/plotly_data.R @@ -42,7 +42,11 @@ NULL #' @export #' @rdname plotly_data plotly_data <- function(p, id = p$x$cur_data) { - p$x$visdat[[id]]() %||% data.frame() + f <- p$x$visdat[[id]] + # if data has been specified, this should be a closure that, when called + # returns data + if (is.function(f)) return(f()) + data.frame() } #' @export diff --git a/R/utils.R b/R/utils.R index 41893c4443..7a97f0ec6d 100644 --- a/R/utils.R +++ b/R/utils.R @@ -35,6 +35,10 @@ new_id <- function() { basename(tempfile("")) } +names2 <- function(x) { + names(x) %||% rep("", length(x)) +} + verify_arg <- function(arg) { if (missing(arg)) return(NULL) if (!is.formula(arg)) { diff --git a/vignettes/subplot.Rmd b/vignettes/subplot.Rmd index a22cfa8db0..91aa1e0459 100644 --- a/vignettes/subplot.Rmd +++ b/vignettes/subplot.Rmd @@ -36,8 +36,8 @@ The `subplot()` function provides a flexible interface for arranging multiple ** ```{r} library(plotly) -p1 <- plot_ly(economics, x = date, y = unemploy, name = "unemploy") -p2 <- plot_ly(economics, x = date, y = uempmed, name = "uempmed") +p1 <- plot_ly(economics, x = ~date, y = ~unemploy, name = "unemploy") +p2 <- plot_ly(economics, x = ~date, y = ~uempmed, name = "uempmed") subplot(p1, p2) ``` @@ -55,7 +55,7 @@ subplot(plots, nrows = length(plots), shareX = TRUE, titleX = FALSE) # this works too, but I'm not sure we should advertise... elong <- tidyr::gather(economics, variable, value, -date) elong$id <- as.integer(factor(elong$variable)) -p <- plot_ly(elong, x = date, y = value, group = variable, yaxis = paste0("y", id)) +p <- plot_ly(elong, x = ~date, y = ~value, group = ~variable, yaxis = ~paste0("y", id)) subplot(p, nrows = 5, shareX = TRUE) ``` @@ -114,7 +114,7 @@ g <- list( # create a map of population density density <- state.x77[, "Population"] / state.x77[, "Area"] map <- plot_ly( - z = density, + z = ~density, text = state.name, locations = state.abb, type = 'choropleth', locationmode = 'USA-states', geo = "geo" ) %>% layout(geo = g) @@ -155,6 +155,3 @@ pm <- GGally::ggpairs(iris) ggplotly(pm) ``` - - - From a63ff71a6bb18cf4ad01c5f07b1b046ea2020677 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Mon, 20 Jun 2016 14:01:32 -0500 Subject: [PATCH 33/73] import/namespace updates --- DESCRIPTION | 3 +- NAMESPACE | 15 ++++++++-- R/imports.R | 8 +++--- man/group2NA.Rd | 24 ++-------------- man/plotly-data.Rd | 68 ---------------------------------------------- 5 files changed, 21 insertions(+), 97 deletions(-) delete mode 100644 man/plotly-data.Rd diff --git a/DESCRIPTION b/DESCRIPTION index 0504faa5f0..19138d50d6 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -32,7 +32,8 @@ Imports: htmlwidgets, tidyr, dplyr, - hexbin + hexbin, + lazyeval (>= 0.2.0) Suggests: maps, ggthemes, diff --git a/NAMESPACE b/NAMESPACE index 4d00ceaa02..2c9b46014f 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -102,6 +102,14 @@ importFrom(dplyr,distinct_) importFrom(dplyr,do) importFrom(dplyr,group_by) importFrom(dplyr,group_by_) +importFrom(dplyr,groups) +importFrom(dplyr,mutate_) +importFrom(dplyr,rename_) +importFrom(dplyr,select_) +importFrom(dplyr,slice_) +importFrom(dplyr,summarise_) +importFrom(dplyr,transmute_) +importFrom(dplyr,ungroup) importFrom(grDevices,col2rgb) importFrom(graphics,layout) importFrom(htmlwidgets,createWidget) @@ -118,17 +126,18 @@ importFrom(httr,content) importFrom(httr,stop_for_status) importFrom(jsonlite,fromJSON) importFrom(jsonlite,toJSON) -importFrom(lazyeval,dots_capture) +importFrom(lazyeval,all_dots) importFrom(lazyeval,f_eval) -importFrom(lazyeval,f_list) +importFrom(lazyeval,is_formula) importFrom(magrittr,"%>%") importFrom(stats,complete.cases) importFrom(stats,setNames) importFrom(tidyr,gather) +importFrom(tidyr,gather_) importFrom(tidyr,unnest) importFrom(utils,browseURL) importFrom(utils,data) importFrom(utils,getFromNamespace) importFrom(utils,modifyList) importFrom(utils,packageVersion) -importFrom(viridis,viridis) +importFrom(viridisLite,viridis) diff --git a/R/imports.R b/R/imports.R index 3fa6eeb216..fef971ec7f 100644 --- a/R/imports.R +++ b/R/imports.R @@ -3,11 +3,11 @@ #' @importFrom graphics layout #' @importFrom utils getFromNamespace modifyList data packageVersion browseURL #' @importFrom stats setNames complete.cases -#' @importFrom tidyr gather unnest -#' @importFrom dplyr distinct_ arrange_ group_by_ do -#' @importFrom viridis viridis +#' @importFrom tidyr gather gather_ unnest +#' @importFrom dplyr mutate_ summarise_ select_ arrange_ group_by_ distinct_ slice_ rename_ transmute_ do groups ungroup +#' @importFrom viridisLite viridis #' @importFrom jsonlite toJSON fromJSON #' @importFrom httr GET POST PATCH content config add_headers stop_for_status #' @importFrom htmlwidgets createWidget sizingPolicy saveWidget -#' @importFrom lazyeval f_eval f_list dots_capture +#' @importFrom lazyeval f_eval is_formula all_dots NULL diff --git a/man/group2NA.Rd b/man/group2NA.Rd index 52ed2ef3b7..93baaa40b2 100644 --- a/man/group2NA.Rd +++ b/man/group2NA.Rd @@ -1,12 +1,9 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/dplyr.R, R/plotly_data.R +% Please edit documentation in R/plotly_data.R \name{group2NA} \alias{group2NA} \title{Insert missing values to create trace groupings} \usage{ -group2NA(data, groupNames = "group", nested = NULL, - retrace.first = inherits(data, "GeomPolygon")) - group2NA(data, groupNames = "group", nested = NULL, retrace.first = inherits(data, "GeomPolygon")) } @@ -18,33 +15,18 @@ group2NA(data, groupNames = "group", nested = NULL, \item{nested}{other variables that group should be nested (i.e., ordered) within.} -\item{retrace.first}{should the first row of each group be appended to the -last row? This is useful for enclosing polygons with lines.} - -\item{data}{a data frame.} - -\item{groupNames}{name(s) of the grouping variable(s) as a character vector} - -\item{nested}{other variables that group should be nested -(i.e., ordered) within.} - \item{retrace.first}{should the first row of each group be appended to the last row? This is useful for enclosing polygons with lines.} } \description{ -If a group of traces share the same non-positional characteristics (i.e., -color, fill, etc), it is more efficient to draw them as a single trace -with missing values that separate the groups (instead of multiple traces). -This is a helper function for inserting missing values into a data set - If a group of traces share the same non-positional characteristics (i.e., color, fill, etc), it is more efficient to draw them as a single trace with missing values that separate the groups (instead of multiple traces). This is a helper function for inserting missing values into a data set } \examples{ -elong <- tidyr::gather(economics, variable, value, -date) -plot_ly(group2NA(elong, "variable"), x = ~date, y = ~value) + +group2NA(mtcars, "vs", "cyl") elong <- tidyr::gather(economics, variable, value, -date) plot_ly(group2NA(elong, "variable"), x = ~date, y = ~value) diff --git a/man/plotly-data.Rd b/man/plotly-data.Rd deleted file mode 100644 index 15472f78f6..0000000000 --- a/man/plotly-data.Rd +++ /dev/null @@ -1,68 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/dplyr.R -\name{plotly-data} -\alias{arrange_.plotly} -\alias{distinct_.plotly} -\alias{filter_.plotly} -\alias{group_by_.plotly} -\alias{groups.plotly} -\alias{mutate_.plotly} -\alias{plotly-data} -\alias{rename_.plotly} -\alias{select_.plotly} -\alias{slice_.plotly} -\alias{summarise_.plotly} -\alias{transmute_.plotly} -\alias{ungroup.plotly} -\title{Data manipulation verbs for plotly.} -\usage{ -groups.plotly(x) - -group_by_.plotly(.data, ..., .dots, add = FALSE) - -ungroup.plotly(x) - -summarise_.plotly(.data, ..., .dots) - -mutate_.plotly(.data, ..., .dots) - -arrange_.plotly(.data, ..., .dots) - -select_.plotly(.data, ..., .dots) - -filter_.plotly(.data, ..., .dots) - -distinct_.plotly(.data, ..., .dots) - -slice_.plotly(.data, ..., .dots) - -rename_.plotly(.data, ..., .dots) - -transmute_.plotly(.data, ..., .dots) -} -\description{ -Data manipulation verbs for plotly. -} -\examples{ - -# loading dplyr is super important! -library(dplyr) - -mtcars \%>\% - plot_ly(x = ~wt, y = ~mpg, name = "scatter trace") \%>\% - filter(cyl == 4) \%>\% - add_markers(x = ~wt, y = ~mpg, name = "filtered points", - marker = list(color = "red")) - -library(tidyr) -economics \%>\% - gather(variable, value, -date) \%>\% - group_by(variable) \%>\% - plot_ly(x = ~date, y = ~value) - - - - -} -\keyword{internal} - From d23ff3c2aee61782d429d974ef8f58b57b044aa6 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Mon, 20 Jun 2016 14:20:39 -0500 Subject: [PATCH 34/73] travis tests no longer need envir hacks --- tests/testthat.R | 9 +-------- 1 file changed, 1 insertion(+), 8 deletions(-) diff --git a/tests/testthat.R b/tests/testthat.R index 31fe3cc1a7..ccae55ab7e 100644 --- a/tests/testthat.R +++ b/tests/testthat.R @@ -84,14 +84,7 @@ save_outputs <- function(gg, name) { !isTRUE(plot_hash == test_info$hash) } else FALSE if (has_diff || build_table) { - # hack to transfer workspace to the other R session - rs_assign <- function(obj, name) RSassign(conn, obj, name) - res <- mapply(rs_assign, mget(ls()), ls()) - # also need to transfer over the plotly environment to enable NSE - res <- RSassign(conn, plotly:::plotlyEnv, "plotlyEnv") - res <- RSeval(conn, "unlockBinding('plotlyEnv', asNamespace('plotly'))") - res <- RSeval(conn, "assign('plotlyEnv', plotlyEnv, pos = asNamespace('plotly'))") - pm <- RSeval(conn, "tryCatch(plotly::plotly_build(gg), error = function(e) 'plotly build error')") + pm <- RSeval(conn, "tryCatch(plotly::plotly_build(gg)$x, error = function(e) 'plotly build error')") if (build_table) { # save pngs of ggplot filename <- paste0(gsub("\\s+", "-", name), ".png") From d025989f154e879bac2ee99ba9e4e5c64cfd5271 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Mon, 20 Jun 2016 14:55:27 -0500 Subject: [PATCH 35/73] fixes for plotly figures; don't document group2NA --- R/plotly_POST.R | 3 +- R/plotly_data.R | 40 +++++++++++++------------- R/process.R | 1 + R/utils.R | 18 ++++++------ man/group2NA.Rd | 35 ---------------------- tests/testthat/test-plotly-filename.R | 2 +- tests/testthat/test-plotly-getfigure.R | 2 +- 7 files changed, 35 insertions(+), 66 deletions(-) delete mode 100644 man/group2NA.Rd diff --git a/R/plotly_POST.R b/R/plotly_POST.R index 0ad09e9a33..de643b83fd 100644 --- a/R/plotly_POST.R +++ b/R/plotly_POST.R @@ -42,7 +42,8 @@ plotly_POST <- function(x, filename = NULL, fileopt = "overwrite", # try our damndest to assign a sensible filename x$filename <- filename %||% x$filename %||% as.character(x$layout$title) %||% paste(c(x$layout$xaxis$title, x$layout$yaxis$title, x$layout$zaxis$title), - collapse = " vs. ") %||% paste("Created at", Sys.time()) + collapse = " vs. ") + if (nchar(x$filename) == 0) x$filename <- paste("Created at", Sys.time()) if (!is.null(x$fileopt)) { warning("fileopt was specified in the wrong place.", "Please specify in plotly_POST()") diff --git a/R/plotly_data.R b/R/plotly_data.R index 90d2f5d1e1..97c204eb95 100644 --- a/R/plotly_data.R +++ b/R/plotly_data.R @@ -142,26 +142,26 @@ transmute_.plotly <- function(.data, ..., .dots) { add_data(.data, d) } -#' Insert missing values to create trace groupings -#' -#' If a group of traces share the same non-positional characteristics (i.e., -#' color, fill, etc), it is more efficient to draw them as a single trace -#' with missing values that separate the groups (instead of multiple traces). -#' This is a helper function for inserting missing values into a data set -#' -#' @param data a data frame. -#' @param groupNames name(s) of the grouping variable(s) as a character vector -#' @param nested other variables that group should be nested -#' (i.e., ordered) within. -#' @param retrace.first should the first row of each group be appended to the -#' last row? This is useful for enclosing polygons with lines. -#' @examples -#' -#' group2NA(mtcars, "vs", "cyl") -#' -#' elong <- tidyr::gather(economics, variable, value, -date) -#' plot_ly(group2NA(elong, "variable"), x = ~date, y = ~value) -#' +# Insert missing values to create trace groupings +# +# If a group of traces share the same non-positional characteristics (i.e., +# color, fill, etc), it is more efficient to draw them as a single trace +# with missing values that separate the groups (instead of multiple traces). +# This is a helper function for inserting missing values into a data set +# +# @param data a data frame. +# @param groupNames name(s) of the grouping variable(s) as a character vector +# @param nested other variables that group should be nested +# (i.e., ordered) within. +# @param retrace.first should the first row of each group be appended to the +# last row? This is useful for enclosing polygons with lines. +# @examples +# +# group2NA(mtcars, "vs", "cyl") +# +# elong <- tidyr::gather(economics, variable, value, -date) +# plot_ly(group2NA(elong, "variable"), x = ~date, y = ~value) +# group2NA <- function(data, groupNames = "group", nested = NULL, retrace.first = inherits(data, "GeomPolygon")) { diff --git a/R/process.R b/R/process.R index c3c4dbfbb7..73a11e3a4a 100644 --- a/R/process.R +++ b/R/process.R @@ -32,6 +32,7 @@ process.plotly_figure <- function(resp) { # make sure that we always return a HTTPS link con$url <- sub("^http[s]?:", "https:", con$url) fig <- verify_boxed(fig) + fig$data <- lapply(fig$data, verify_type) as.widget(fig) } diff --git a/R/utils.R b/R/utils.R index 7a97f0ec6d..666da36cde 100644 --- a/R/utils.R +++ b/R/utils.R @@ -56,7 +56,7 @@ verify_attr_names <- function(p) { ) for (tr in seq_along(p$x$data)) { thisTrace <- p$x$data[[tr]] - validAttrs <- Schema$traces[[thisTrace$type]]$attributes + validAttrs <- Schema$traces[[thisTrace$type %||% "scatter"]]$attributes check_attrs(names(thisTrace), c(names(validAttrs), "key")) } invisible(p) @@ -65,7 +65,7 @@ verify_attr_names <- function(p) { check_attrs <- function(proposedAttrs, validAttrs) { illegalAttrs <- setdiff(proposedAttrs, validAttrs) if (length(illegalAttrs)) { - stop("The following attributes don't exist:\n'", + warning("The following attributes don't exist:\n'", paste(illegalAttrs, collapse = "', '"), "'\n", "Valid options include:\n'", paste(validAttrs, collapse = "', '"), "'\n", @@ -77,12 +77,14 @@ check_attrs <- function(proposedAttrs, validAttrs) { # ensure both the layout and trace attributes are sent to plotly.js # as data_arrays verify_boxed <- function(p) { - layoutNames <- names(p$x$layout) - layoutNew <- verify_box( - setNames(p$x$layout, sub("[0-9]+$", "", layoutNames)), - Schema$layout$layoutAttributes - ) - p$x$layout <- setNames(layoutNew, layoutNames) + if (!is.null(p$x$layout)) { + layoutNames <- names(p$x$layout) + layoutNew <- verify_box( + setNames(p$x$layout, sub("[0-9]+$", "", layoutNames)), + Schema$layout$layoutAttributes + ) + p$x$layout <- setNames(layoutNew, layoutNames) + } for (tr in seq_along(p$x$data)) { thisTrace <- p$x$data[[tr]] validAttrs <- Schema$traces[[thisTrace$type]]$attributes diff --git a/man/group2NA.Rd b/man/group2NA.Rd deleted file mode 100644 index 93baaa40b2..0000000000 --- a/man/group2NA.Rd +++ /dev/null @@ -1,35 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/plotly_data.R -\name{group2NA} -\alias{group2NA} -\title{Insert missing values to create trace groupings} -\usage{ -group2NA(data, groupNames = "group", nested = NULL, - retrace.first = inherits(data, "GeomPolygon")) -} -\arguments{ -\item{data}{a data frame.} - -\item{groupNames}{name(s) of the grouping variable(s) as a character vector} - -\item{nested}{other variables that group should be nested -(i.e., ordered) within.} - -\item{retrace.first}{should the first row of each group be appended to the -last row? This is useful for enclosing polygons with lines.} -} -\description{ -If a group of traces share the same non-positional characteristics (i.e., -color, fill, etc), it is more efficient to draw them as a single trace -with missing values that separate the groups (instead of multiple traces). -This is a helper function for inserting missing values into a data set -} -\examples{ - -group2NA(mtcars, "vs", "cyl") - -elong <- tidyr::gather(economics, variable, value, -date) -plot_ly(group2NA(elong, "variable"), x = ~date, y = ~value) - -} - diff --git a/tests/testthat/test-plotly-filename.R b/tests/testthat/test-plotly-filename.R index d608b925cc..fe5637452b 100644 --- a/tests/testthat/test-plotly-filename.R +++ b/tests/testthat/test-plotly-filename.R @@ -3,7 +3,7 @@ context("Filename") test_that("filepath with directories is returned as passed", { skip_on_cran() skip_on_pull_request() - p <- plot_ly(mtcars, x = wt, y = vs) + p <- plot_ly(mtcars, x = ~wt, y = ~vs) f <- plotly_POST(p, filename = "directory/awesome") expect_match(f$filename, "directory/awesome") }) diff --git a/tests/testthat/test-plotly-getfigure.R b/tests/testthat/test-plotly-getfigure.R index 23ff460bd6..0fad32c4e9 100644 --- a/tests/testthat/test-plotly-getfigure.R +++ b/tests/testthat/test-plotly-getfigure.R @@ -37,7 +37,7 @@ test_that("can add traces to a subplot figure", { skip_on_cran() skip_on_pull_request() fig <- get_figure('chelsea_lyn', 6366) - p <- add_trace(fig, x=c(1, 2, 3), y=c(4, 2, 4)) + p <- add_trace(fig, x = c(1, 2, 3), y = c(4, 2, 4)) l <- plotly_build(p) expect_equivalent(length(plotly_build(fig)$data) + 1, length(l$data)) }) From b12f507100a35f02b832823aebb4c77a3c0e7edc Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Mon, 20 Jun 2016 15:17:03 -0500 Subject: [PATCH 36/73] fix problems identified by R CMD check --- DESCRIPTION | 4 +++- NAMESPACE | 22 +++++++++++----------- R/add.R | 6 ++++++ R/dev.R | 2 +- R/helpers.R | 2 +- R/plotly_data.R | 8 ++++---- R/utils.R | 6 +++--- man/add_lines.Rd | 6 ++++++ man/add_markers.Rd | 6 ++++++ man/add_paths.Rd | 6 ++++++ man/add_polygons.Rd | 6 ++++++ man/add_ribbons.Rd | 6 ++++++ man/add_text.Rd | 6 ++++++ man/plotly_data.Rd | 22 +++++++++++----------- man/plotly_json.Rd | 2 +- tests/testthat/test-plotly-getfigure.R | 6 +++--- 16 files changed, 80 insertions(+), 36 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 19138d50d6..b8c0ec0102 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -20,6 +20,7 @@ Description: Easily translate 'ggplot2' graphs to an interactive web-based versi URL: https://plot.ly/r, https://github.com/ropensci/plotly BugReports: https://github.com/ropensci/plotly/issues Depends: + R (>= 2.10), ggplot2 (>= 2.1.0) Imports: scales, @@ -49,7 +50,8 @@ Suggests: Rserve, RSclient, broom, - webshot + webshot, + listviewer LazyData: true VignetteBuilder: knitr RoxygenNote: 5.0.1 diff --git a/NAMESPACE b/NAMESPACE index 2c9b46014f..001dda9592 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,5 +1,7 @@ # Generated by roxygen2: do not edit by hand +S3method(arrange_,plotly) +S3method(distinct_,plotly) S3method(geom2trace,GeomBar) S3method(geom2trace,GeomBlank) S3method(geom2trace,GeomBoxplot) @@ -13,12 +15,19 @@ S3method(geom2trace,GeomTile) S3method(geom2trace,default) S3method(ggplotly,ggmatrix) S3method(ggplotly,ggplot) +S3method(group_by_,plotly) +S3method(groups,plotly) S3method(layout,matrix) S3method(layout,plotly) +S3method(mutate_,plotly) S3method(plotly_build,gg) S3method(plotly_build,list) S3method(plotly_build,plotly) S3method(print,plotly_figure) +S3method(rename_,plotly) +S3method(select_,plotly) +S3method(slice_,plotly) +S3method(summarise_,plotly) S3method(to_basic,GeomAbline) S3method(to_basic,GeomArea) S3method(to_basic,GeomBoxplot) @@ -44,6 +53,8 @@ S3method(to_basic,GeomTile) S3method(to_basic,GeomViolin) S3method(to_basic,GeomVline) S3method(to_basic,default) +S3method(transmute_,plotly) +S3method(ungroup,plotly) export("%>%") export(add_data) export(add_lines) @@ -53,10 +64,8 @@ export(add_polygons) export(add_ribbons) export(add_text) export(add_trace) -export(arrange_.plotly) export(as.widget) export(config) -export(distinct_.plotly) export(embed_notebook) export(event_data) export(export) @@ -66,11 +75,8 @@ export(get_figure) export(gg2list) export(ggplotly) export(group_by) -export(group_by_.plotly) -export(groups.plotly) export(knit_print.plotly_figure) export(layout) -export(mutate_.plotly) export(offline) export(plot_ly) export(plotly) @@ -81,20 +87,14 @@ export(plotly_build) export(plotly_data) export(plotly_empty) export(plotly_json) -export(rename_.plotly) export(renderPlotly) export(schema) -export(select_.plotly) export(signup) -export(slice_.plotly) export(style) export(subplot) -export(summarise_.plotly) export(toRGB) export(toWebGL) export(to_basic) -export(transmute_.plotly) -export(ungroup.plotly) import(ggplot2) importFrom(base64enc,base64encode) importFrom(dplyr,arrange_) diff --git a/R/add.R b/R/add.R index 3126bf39de..ae75f6a0c5 100644 --- a/R/add.R +++ b/R/add.R @@ -77,6 +77,7 @@ add_trace <- function(p, ..., #' Add points to a plotly vis #' +#' @inheritParams add_trace #' @export add_markers <- function(p, ...) { add_trace(p, type = "scatter", mode = "markers", ...) @@ -84,6 +85,7 @@ add_markers <- function(p, ...) { #' Add paths to a plotly vis #' +#' @inheritParams add_trace #' @export add_paths <- function(p, ...) { add_trace(p, type = "scatter", mode = "lines", ...) @@ -93,6 +95,7 @@ add_paths <- function(p, ...) { #' #' Equivalent to \code{add_paths}, but with the x-values sorted. #' +#' @inheritParams add_trace #' @export add_lines <- function(p, ...) { add_trace(p, type = "scatter", mode = "lines", ...) @@ -100,6 +103,7 @@ add_lines <- function(p, ...) { #' Add text to a plotly vis #' +#' @inheritParams add_trace #' @export add_text <- function(p, ...) { # TODO: throw error if no text attribute is found @@ -108,6 +112,7 @@ add_text <- function(p, ...) { #' Add polygons to a plotly vis #' +#' @inheritParams add_trace #' @export #' @examples #' @@ -129,6 +134,7 @@ add_polygons <- function(p, ...) { #' #' Ribbons are a special case of polygons. #' +#' @inheritParams add_trace #' @export add_ribbons <- function(p, ...) { # TODO: add ymin, ymax arguments? diff --git a/R/dev.R b/R/dev.R index 0ed55ca5f8..c940f6b2e8 100644 --- a/R/dev.R +++ b/R/dev.R @@ -10,7 +10,7 @@ #' @examples #' #' plotly_json(plot_ly()) -#' plotly_json(plot_ly(), F) +#' plotly_json(plot_ly(), FALSE) plotly_json <- function(p = plot_ly(), jsonedit = interactive(), ...) { plotlyJSON <- to_JSON(plotly_build(p)$x, pretty = TRUE) diff --git a/R/helpers.R b/R/helpers.R index c74ad37f4b..e7d7be7cf3 100644 --- a/R/helpers.R +++ b/R/helpers.R @@ -30,7 +30,7 @@ hide_colorbar <- function(p) { toWebGL <- function(p, warn = TRUE) { p <- plotly_build(p) types <- sapply(p$x$data, function(x) x[["type"]][1] %||% "scatter") - idx <- paste0(types, "gl") %in% traces + idx <- paste0(types, "gl") %in% names(Schema$traces) if (any(!idx) && warn) { warning( "The following traces don't have a WebGL equivalent: ", diff --git a/R/plotly_data.R b/R/plotly_data.R index 97c204eb95..bb843245c7 100644 --- a/R/plotly_data.R +++ b/R/plotly_data.R @@ -114,7 +114,7 @@ filter_.plotly <- function(.data, ..., .dots) { #' @export distinct_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) - d <- dplyr::distinct_(d, ..., .dots, add = add) + d <- dplyr::distinct_(d, ..., .dots) add_data(.data, d) } @@ -122,7 +122,7 @@ distinct_.plotly <- function(.data, ..., .dots) { #' @export slice_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) - d <- dplyr::slice_(d, ..., .dots, add = add) + d <- dplyr::slice_(d, ..., .dots) add_data(.data, d) } @@ -130,7 +130,7 @@ slice_.plotly <- function(.data, ..., .dots) { #' @export rename_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) - d <- dplyr::rename_(d, ..., .dots, add = add) + d <- dplyr::rename_(d, ..., .dots) add_data(.data, d) } @@ -138,7 +138,7 @@ rename_.plotly <- function(.data, ..., .dots) { #' @export transmute_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) - d <- dplyr::transmute_(d, ..., .dots, add = add) + d <- dplyr::transmute_(d, ..., .dots) add_data(.data, d) } diff --git a/R/utils.R b/R/utils.R index 666da36cde..22942c059e 100644 --- a/R/utils.R +++ b/R/utils.R @@ -178,21 +178,21 @@ verify_mode <- function(p) { for (tr in seq_along(p$x$data)) { trace <- p$x$data[[tr]] if (grepl("scatter", trace$type %||% "scatter")) { - if (!is.null(trace$marker) && !grepl("markers", trace$mode)) { + if (!is.null(trace$marker) && !grepl("markers", trace$mode %||% "")) { message( "A marker object has been specified, but markers is not in the mode\n", "Adding markers to the mode..." ) p$x$data[[tr]]$mode <- paste0(p$x$data[[tr]]$mode, "+markers") } - if (!is.null(trace$line) && !grepl("lines", trace$mode)) { + if (!is.null(trace$line) && !grepl("lines", trace$mode %||% "")) { message( "A line object has been specified, but lines is not in the mode\n", "Adding lines to the mode..." ) p$x$data[[tr]]$mode <- paste0(p$x$data[[tr]]$mode, "+lines") } - if (!is.null(trace$textfont) && !grepl("text", trace$mode)) { + if (!is.null(trace$textfont) && !grepl("text", trace$mode %||% "")) { warning( "A textfont object has been specified, but text is not in the mode\n", "Adding text to the mode..." diff --git a/man/add_lines.Rd b/man/add_lines.Rd index 5fa1907ae9..a2d22933af 100644 --- a/man/add_lines.Rd +++ b/man/add_lines.Rd @@ -6,6 +6,12 @@ \usage{ add_lines(p, ...) } +\arguments{ +\item{p}{a plotly or ggplot object.} + +\item{...}{These arguments are documented in the references section below. +Note that acceptable arguments depend on the trace type.} +} \description{ Equivalent to \code{add_paths}, but with the x-values sorted. } diff --git a/man/add_markers.Rd b/man/add_markers.Rd index db0fcb9ab5..0154c7bcff 100644 --- a/man/add_markers.Rd +++ b/man/add_markers.Rd @@ -6,6 +6,12 @@ \usage{ add_markers(p, ...) } +\arguments{ +\item{p}{a plotly or ggplot object.} + +\item{...}{These arguments are documented in the references section below. +Note that acceptable arguments depend on the trace type.} +} \description{ Add points to a plotly vis } diff --git a/man/add_paths.Rd b/man/add_paths.Rd index a85e143124..9032799a63 100644 --- a/man/add_paths.Rd +++ b/man/add_paths.Rd @@ -6,6 +6,12 @@ \usage{ add_paths(p, ...) } +\arguments{ +\item{p}{a plotly or ggplot object.} + +\item{...}{These arguments are documented in the references section below. +Note that acceptable arguments depend on the trace type.} +} \description{ Add paths to a plotly vis } diff --git a/man/add_polygons.Rd b/man/add_polygons.Rd index 1851766bd3..e8a0affadb 100644 --- a/man/add_polygons.Rd +++ b/man/add_polygons.Rd @@ -6,6 +6,12 @@ \usage{ add_polygons(p, ...) } +\arguments{ +\item{p}{a plotly or ggplot object.} + +\item{...}{These arguments are documented in the references section below. +Note that acceptable arguments depend on the trace type.} +} \description{ Add polygons to a plotly vis } diff --git a/man/add_ribbons.Rd b/man/add_ribbons.Rd index 32f5084b57..4395588da1 100644 --- a/man/add_ribbons.Rd +++ b/man/add_ribbons.Rd @@ -6,6 +6,12 @@ \usage{ add_ribbons(p, ...) } +\arguments{ +\item{p}{a plotly or ggplot object.} + +\item{...}{These arguments are documented in the references section below. +Note that acceptable arguments depend on the trace type.} +} \description{ Ribbons are a special case of polygons. } diff --git a/man/add_text.Rd b/man/add_text.Rd index 71c4f3e142..ee784a819d 100644 --- a/man/add_text.Rd +++ b/man/add_text.Rd @@ -6,6 +6,12 @@ \usage{ add_text(p, ...) } +\arguments{ +\item{p}{a plotly or ggplot object.} + +\item{...}{These arguments are documented in the references section below. +Note that acceptable arguments depend on the trace type.} +} \description{ Add text to a plotly vis } diff --git a/man/plotly_data.Rd b/man/plotly_data.Rd index d45f8732ac..7ee3388c2c 100644 --- a/man/plotly_data.Rd +++ b/man/plotly_data.Rd @@ -18,29 +18,29 @@ \usage{ plotly_data(p, id = p$x$cur_data) -groups.plotly(x) +\method{groups}{plotly}(x) -group_by_.plotly(.data, ..., .dots, add = FALSE) +\method{group_by_}{plotly}(.data, ..., .dots, add = FALSE) -ungroup.plotly(x) +\method{ungroup}{plotly}(x) -summarise_.plotly(.data, ..., .dots) +\method{summarise_}{plotly}(.data, ..., .dots) -mutate_.plotly(.data, ..., .dots) +\method{mutate_}{plotly}(.data, ..., .dots) -arrange_.plotly(.data, ..., .dots) +\method{arrange_}{plotly}(.data, ..., .dots) -select_.plotly(.data, ..., .dots) +\method{select_}{plotly}(.data, ..., .dots) filter_.plotly(.data, ..., .dots) -distinct_.plotly(.data, ..., .dots) +\method{distinct_}{plotly}(.data, ..., .dots) -slice_.plotly(.data, ..., .dots) +\method{slice_}{plotly}(.data, ..., .dots) -rename_.plotly(.data, ..., .dots) +\method{rename_}{plotly}(.data, ..., .dots) -transmute_.plotly(.data, ..., .dots) +\method{transmute_}{plotly}(.data, ..., .dots) } \description{ \code{plotly_data()} returns the data associated with diff --git a/man/plotly_json.Rd b/man/plotly_json.Rd index babe997b00..cc0cc029a0 100644 --- a/man/plotly_json.Rd +++ b/man/plotly_json.Rd @@ -20,6 +20,6 @@ sent to plotly.js. \examples{ plotly_json(plot_ly()) -plotly_json(plot_ly(), F) +plotly_json(plot_ly(), FALSE) } diff --git a/tests/testthat/test-plotly-getfigure.R b/tests/testthat/test-plotly-getfigure.R index 0fad32c4e9..896e2b022d 100644 --- a/tests/testthat/test-plotly-getfigure.R +++ b/tests/testthat/test-plotly-getfigure.R @@ -29,7 +29,7 @@ test_that("retrieving a public figure ... works.", { skip_on_pull_request() fig <- get_figure("get_test_user", 0) # get the data behind the hash - p <- plotly_build(fig) + p <- plotly_build(fig)$x expect_equivalent(p$data[[1]]$x, c("1", "2", "3")) }) @@ -38,8 +38,8 @@ test_that("can add traces to a subplot figure", { skip_on_pull_request() fig <- get_figure('chelsea_lyn', 6366) p <- add_trace(fig, x = c(1, 2, 3), y = c(4, 2, 4)) - l <- plotly_build(p) - expect_equivalent(length(plotly_build(fig)$data) + 1, length(l$data)) + l <- plotly_build(p)$x + expect_equivalent(length(plotly_build(fig)$x$data) + 1, length(l$data)) }) test_that("posting a hidden plot returns a secret key", { From d724e59f3d52b03d05bacb96097860557e50a2ad Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Mon, 20 Jun 2016 15:47:03 -0500 Subject: [PATCH 37/73] let the travis fun begin --- tests/testthat.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/testthat.R b/tests/testthat.R index ccae55ab7e..8184c82aec 100644 --- a/tests/testthat.R +++ b/tests/testthat.R @@ -18,7 +18,7 @@ if (report_diffs || build_table) { # we don't make assumptions about ggplot2 versioning, # but it is _strongly_ recommended to use the CRAN version (of ggplot2) RSeval(conn, "devtools::install_github('ropensci/plotly')") - RSeval(conn, "library(plotly)") + #RSeval(conn, "library(plotly)") if (report_diffs) { # hash of the version being tested this_hash <- substr(Sys.getenv("TRAVIS_COMMIT"), 1, 7) From 2578156ce2493b15913e83f0b4068ca921852049 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Mon, 20 Jun 2016 16:10:51 -0500 Subject: [PATCH 38/73] get add_polygon working --- NAMESPACE | 23 ++++++++++++----------- R/add.R | 27 ++++++++++++++++++--------- R/imports.R | 2 +- R/plotly.R | 2 +- R/plotly_build.R | 5 +++-- man/add_polygons.Rd | 13 +++++++------ man/plot_ly.Rd | 6 +++--- man/plotly_data.Rd | 22 +++++++++++----------- 8 files changed, 56 insertions(+), 44 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index 001dda9592..7ad3f3249c 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,7 +1,5 @@ # Generated by roxygen2: do not edit by hand -S3method(arrange_,plotly) -S3method(distinct_,plotly) S3method(geom2trace,GeomBar) S3method(geom2trace,GeomBlank) S3method(geom2trace,GeomBoxplot) @@ -15,19 +13,12 @@ S3method(geom2trace,GeomTile) S3method(geom2trace,default) S3method(ggplotly,ggmatrix) S3method(ggplotly,ggplot) -S3method(group_by_,plotly) -S3method(groups,plotly) S3method(layout,matrix) S3method(layout,plotly) -S3method(mutate_,plotly) S3method(plotly_build,gg) S3method(plotly_build,list) S3method(plotly_build,plotly) S3method(print,plotly_figure) -S3method(rename_,plotly) -S3method(select_,plotly) -S3method(slice_,plotly) -S3method(summarise_,plotly) S3method(to_basic,GeomAbline) S3method(to_basic,GeomArea) S3method(to_basic,GeomBoxplot) @@ -53,8 +44,6 @@ S3method(to_basic,GeomTile) S3method(to_basic,GeomViolin) S3method(to_basic,GeomVline) S3method(to_basic,default) -S3method(transmute_,plotly) -S3method(ungroup,plotly) export("%>%") export(add_data) export(add_lines) @@ -64,8 +53,10 @@ export(add_polygons) export(add_ribbons) export(add_text) export(add_trace) +export(arrange_.plotly) export(as.widget) export(config) +export(distinct_.plotly) export(embed_notebook) export(event_data) export(export) @@ -75,8 +66,11 @@ export(get_figure) export(gg2list) export(ggplotly) export(group_by) +export(group_by_.plotly) +export(groups.plotly) export(knit_print.plotly_figure) export(layout) +export(mutate_.plotly) export(offline) export(plot_ly) export(plotly) @@ -87,14 +81,20 @@ export(plotly_build) export(plotly_data) export(plotly_empty) export(plotly_json) +export(rename_.plotly) export(renderPlotly) export(schema) +export(select_.plotly) export(signup) +export(slice_.plotly) export(style) export(subplot) +export(summarise_.plotly) export(toRGB) export(toWebGL) export(to_basic) +export(transmute_.plotly) +export(ungroup.plotly) import(ggplot2) importFrom(base64enc,base64encode) importFrom(dplyr,arrange_) @@ -131,6 +131,7 @@ importFrom(lazyeval,f_eval) importFrom(lazyeval,is_formula) importFrom(magrittr,"%>%") importFrom(stats,complete.cases) +importFrom(stats,quantile) importFrom(stats,setNames) importFrom(tidyr,gather) importFrom(tidyr,gather_) diff --git a/R/add.R b/R/add.R index ae75f6a0c5..5d2b407be1 100644 --- a/R/add.R +++ b/R/add.R @@ -75,6 +75,13 @@ add_trace <- function(p, ..., p } +add_trace_classed <- function(p, class = "plotly_polygon", ...) { + p <- add_trace(p, ...) + nAttrs <- length(p$x$attrs) + p$x$attrs[[nAttrs]] <- prefix_class(p$x$attrs[[nAttrs]], class) + p +} + #' Add points to a plotly vis #' #' @inheritParams add_trace @@ -98,7 +105,7 @@ add_paths <- function(p, ...) { #' @inheritParams add_trace #' @export add_lines <- function(p, ...) { - add_trace(p, type = "scatter", mode = "lines", ...) + add_trace_classed(p, type = "scatter", mode = "lines", class = "plotly_lines", ...) } #' Add text to a plotly vis @@ -113,21 +120,23 @@ add_text <- function(p, ...) { #' Add polygons to a plotly vis #' #' @inheritParams add_trace +#' @param mode Determines the drawing mode for this scatter trace +#' \url{https://plot.ly/r/reference/#scatter-mode} #' @export #' @examples #' -#' library(dplyr) -#' data(canada.cities, package = "maps") -#' #' ggplot2::map_data("world", "canada") %>% #' group_by(group) %>% -#' plot_ly(x = ~long, y = ~lat, hoverinfo = "none") %>% +#' plot_ly(x = ~long, y = ~lat) %>% +#' add_polygons(hoverinfo = "none") %>% #' add_markers(text = ~paste(name, "
", pop), hoverinfo = "text", -#' data = canada.cities) %>% +#' data = maps::canada.cities) %>% #' layout(showlegend = FALSE) -add_polygons <- function(p, ...) { - # TODO: Should mode='markers+lines'? If so, retrace first points? - add_trace(p, type = "scatter", mode = "lines", fill = "toself", ...) +add_polygons <- function(p, mode = "lines", ...) { + add_trace_classed( + p, class = "plotly_polygon", type = "scatter", + fill = "toself", mode = mode, ... + ) } #' Add ribbons to a plotly vis diff --git a/R/imports.R b/R/imports.R index fef971ec7f..1fa70fa4fa 100644 --- a/R/imports.R +++ b/R/imports.R @@ -2,7 +2,7 @@ #' @importFrom grDevices col2rgb #' @importFrom graphics layout #' @importFrom utils getFromNamespace modifyList data packageVersion browseURL -#' @importFrom stats setNames complete.cases +#' @importFrom stats setNames complete.cases quantile #' @importFrom tidyr gather gather_ unnest #' @importFrom dplyr mutate_ summarise_ select_ arrange_ group_by_ distinct_ slice_ rename_ transmute_ do groups ungroup #' @importFrom viridisLite viridis diff --git a/R/plotly.R b/R/plotly.R index 6d5b30a79f..45eb45587c 100644 --- a/R/plotly.R +++ b/R/plotly.R @@ -65,7 +65,7 @@ #' #' } #' -plot_ly <- function(data = data.frame(), ..., type = NULL, +plot_ly <- function(data = data.frame(), ..., type = NULL, group, color, colors = NULL, symbol, symbols = NULL, size, sizes = c(10, 100), linetype, linetypes = NULL, width = NULL, height = NULL, source = "A") { diff --git a/R/plotly_build.R b/R/plotly_build.R index bc5ce8ebd2..8bf497e4d6 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -83,7 +83,8 @@ plotly_build.plotly <- function(p) { nestedVars[[id]] <- i d[[id]] <- newVar } - d <- group2NA(d, as.character(grps), names(nestedVars)) + retrace <- inherits(x, "plotly_polygon") + d <- group2NA(d, as.character(grps), names(nestedVars), retrace) } # perform the evaluation @@ -245,7 +246,7 @@ map_color <- function(traces, title = "", na.color = "transparent") { colScale <- scales::col_numeric(palette, rng, na.color = na.color) # generate the colorscale to be shared across traces vals <- if (diff(rng) > 0) { - as.numeric(quantile(allColor, probs = seq(0, 1, length.out = 25), na.rm = TRUE)) + as.numeric(stats::quantile(allColor, probs = seq(0, 1, length.out = 25), na.rm = TRUE)) } else { c(0, 1) } diff --git a/man/add_polygons.Rd b/man/add_polygons.Rd index e8a0affadb..f403b3cb82 100644 --- a/man/add_polygons.Rd +++ b/man/add_polygons.Rd @@ -4,11 +4,14 @@ \alias{add_polygons} \title{Add polygons to a plotly vis} \usage{ -add_polygons(p, ...) +add_polygons(p, mode = "lines", ...) } \arguments{ \item{p}{a plotly or ggplot object.} +\item{mode}{Determines the drawing mode for this scatter trace +\url{https://plot.ly/r/reference/#scatter-mode}} + \item{...}{These arguments are documented in the references section below. Note that acceptable arguments depend on the trace type.} } @@ -17,14 +20,12 @@ Add polygons to a plotly vis } \examples{ -library(dplyr) -data(canada.cities, package = "maps") - ggplot2::map_data("world", "canada") \%>\% group_by(group) \%>\% - plot_ly(x = ~long, y = ~lat, hoverinfo = "none") \%>\% + plot_ly(x = ~long, y = ~lat) \%>\% + add_polygons(hoverinfo = "none") \%>\% add_markers(text = ~paste(name, "
", pop), hoverinfo = "text", - data = canada.cities) \%>\% + data = maps::canada.cities) \%>\% layout(showlegend = FALSE) } diff --git a/man/plot_ly.Rd b/man/plot_ly.Rd index d43ee9f7b7..d21e028737 100644 --- a/man/plot_ly.Rd +++ b/man/plot_ly.Rd @@ -4,9 +4,9 @@ \alias{plot_ly} \title{Initiate a plotly visualization} \usage{ -plot_ly(data = data.frame(), ..., type = NULL, color, colors = NULL, - symbol, symbols = NULL, size, sizes = c(10, 100), linetype, - linetypes = NULL, width = NULL, height = NULL, source = "A") +plot_ly(data = data.frame(), ..., type = NULL, group, color, + colors = NULL, symbol, symbols = NULL, size, sizes = c(10, 100), + linetype, linetypes = NULL, width = NULL, height = NULL, source = "A") } \arguments{ \item{data}{A data frame (optional).} diff --git a/man/plotly_data.Rd b/man/plotly_data.Rd index 7ee3388c2c..d45f8732ac 100644 --- a/man/plotly_data.Rd +++ b/man/plotly_data.Rd @@ -18,29 +18,29 @@ \usage{ plotly_data(p, id = p$x$cur_data) -\method{groups}{plotly}(x) +groups.plotly(x) -\method{group_by_}{plotly}(.data, ..., .dots, add = FALSE) +group_by_.plotly(.data, ..., .dots, add = FALSE) -\method{ungroup}{plotly}(x) +ungroup.plotly(x) -\method{summarise_}{plotly}(.data, ..., .dots) +summarise_.plotly(.data, ..., .dots) -\method{mutate_}{plotly}(.data, ..., .dots) +mutate_.plotly(.data, ..., .dots) -\method{arrange_}{plotly}(.data, ..., .dots) +arrange_.plotly(.data, ..., .dots) -\method{select_}{plotly}(.data, ..., .dots) +select_.plotly(.data, ..., .dots) filter_.plotly(.data, ..., .dots) -\method{distinct_}{plotly}(.data, ..., .dots) +distinct_.plotly(.data, ..., .dots) -\method{slice_}{plotly}(.data, ..., .dots) +slice_.plotly(.data, ..., .dots) -\method{rename_}{plotly}(.data, ..., .dots) +rename_.plotly(.data, ..., .dots) -\method{transmute_}{plotly}(.data, ..., .dots) +transmute_.plotly(.data, ..., .dots) } \description{ \code{plotly_data()} returns the data associated with From 445b9af83d7ef6d229a4626b565fd31820d59c43 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Mon, 20 Jun 2016 17:31:53 -0500 Subject: [PATCH 39/73] get add_lines() working --- LICENSE | 4 ++-- NEWS | 4 ++-- R/add.R | 31 ++++++++++++++++++++++++++----- R/layers2traces.R | 2 +- R/plotly_build.R | 33 +++++++++++++++++---------------- R/plotly_data.R | 33 +++++++++++++++++++++++++-------- 6 files changed, 73 insertions(+), 34 deletions(-) diff --git a/LICENSE b/LICENSE index 6ea7fce0d9..7a86fec81b 100644 --- a/LICENSE +++ b/LICENSE @@ -1,2 +1,2 @@ -YEAR: 2014 -COPYRIGHT HOLDER: Chris Parmer \ No newline at end of file +YEAR: 2016 +COPYRIGHT HOLDER: Chris Parmer diff --git a/NEWS b/NEWS index afd11aae89..f0c32d37c5 100644 --- a/NEWS +++ b/NEWS @@ -11,8 +11,8 @@ BREAKING CHANGES & IMPROVEMENTS: NEW FEATURES & IMPROVEMENTS: * Error checking for trace and layout attributes. -* Trace type inference based on specified attributes. -* New `add_markers()`/`add_lines()`/`add_text()`/`add_polygon`/`add_ribbon()` functions provide a shorthand for common plots. +* If no trace type is provided, a sensible type is inferred from the supplied data. +* New `add_polygons()`/`add_ribbons()`/`add_lines()`/`add_markers()`/`add_paths()`/`add_text()` functions provide a shorthand for common plots. * Added `linetype`/`linetypes` arguments for mapping discrete variables to line types (this works very much like the `symbol`/`symbols`). * Added a `sizes` argument for controlling the range of marker size scaling. * New `toWebGL()` function for easy conversion from SVG to WebGL. diff --git a/R/add.R b/R/add.R index 5d2b407be1..c642c4df31 100644 --- a/R/add.R +++ b/R/add.R @@ -105,16 +105,20 @@ add_paths <- function(p, ...) { #' @inheritParams add_trace #' @export add_lines <- function(p, ...) { - add_trace_classed(p, type = "scatter", mode = "lines", class = "plotly_lines", ...) + add_trace_classed( + p, class = "plotly_line", type = "scatter", mode = "lines", ... + ) } #' Add text to a plotly vis #' #' @inheritParams add_trace #' @export -add_text <- function(p, ...) { - # TODO: throw error if no text attribute is found - add_trace(p, type = "scatter", mode = "text", ...) +add_text <- function(p, text = NULL, ...) { + if (is.null(text %||% p$x$attrs[[1]]$text)) { + stop("Must supply text attribute", call. = FALSE) + } + add_trace(p, type = "scatter", mode = "text", text = text, ...) } #' Add polygons to a plotly vis @@ -147,7 +151,24 @@ add_polygons <- function(p, mode = "lines", ...) { #' @export add_ribbons <- function(p, ...) { # TODO: add ymin, ymax arguments? - add_polygons(...) + add_trace_classed( + p, class = c("plotly_ribbon", "plotly_polygon"), type = "scatter", + fill = "toself", mode = "lines", ... + ) +} + +#' Area +#' +#' Ribbons are a special case of polygons. +#' +#' @inheritParams add_trace +#' @export +add_ribbons <- function(p, ...) { + # TODO: add ymin, ymax arguments? + add_trace_classed( + p, class = c("plotly_ribbon", "plotly_polygon"), type = "scatter", + fill = "toself", mode = "lines", ... + ) } diff --git a/R/layers2traces.R b/R/layers2traces.R index fc47d573d5..2eaa5f3497 100644 --- a/R/layers2traces.R +++ b/R/layers2traces.R @@ -193,7 +193,7 @@ to_basic.GeomSegment <- function(data, prestats_data, layout, params, p, ...) { #' @export to_basic.GeomRect <- function(data, prestats_data, layout, params, p, ...) { data$group <- seq_len(nrow(data)) - others <- data[!names(data) %in% c("xmin", "ymin", "xmax", "ymax")] + others <- data[!names(data) %in% c("xmin", "ymin", "xmax", "ymax", "y", "x")] data <- with(data, { rbind(cbind(x = xmin, y = ymin, others), cbind(x = xmin, y = ymax, others), diff --git a/R/plotly_build.R b/R/plotly_build.R index 8bf497e4d6..ed4ff4a1b0 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -67,25 +67,26 @@ plotly_build.plotly <- function(p) { } d <- plotly_data(p, y) + # in order to do grouping _within trace_ correctly, we need to know about + # variables that transform one trace into multiple traces + nestedVars <- list() + for (i in c("symbol", "linetype", "color")) { + newVar <- eval_attr(x[[i]], d) + if (is.null(newVar) || i == "color" && !is.discrete(newVar)) next + id <- paste0("x", new_id()) + nestedVars[[id]] <- i + d[[id]] <- newVar + } # if the data has groups, insert missing values to introduce gaps grps <- dplyr::groups(d) - if (length(grps)) { - if (isTRUE(x$connectgaps)) { - stop("Can't set connectgaps=T in a trace that has 1 or more groups.", call. = FALSE) - } - # in order to do grouping _within trace_ correctly, we need to know about - # variables that transform one trace into multiple traces - nestedVars <- list() - for (i in c("symbol", "linetype", "color")) { - newVar <- eval_attr(x[[i]], d) - if (is.null(newVar) || i == "color" && !is.discrete(newVar)) next - id <- paste0("x", new_id()) - nestedVars[[id]] <- i - d[[id]] <- newVar - } - retrace <- inherits(x, "plotly_polygon") - d <- group2NA(d, as.character(grps), names(nestedVars), retrace) + if (length(grps) &&isTRUE(x$connectgaps)) { + stop("Can't set connectgaps=T in a trace that has 1 or more groups.", call. = FALSE) } + d <- group2NA( + d, as.character(grps), names(nestedVars), + if (inherits(x, "plotly_line")) "x" else NULL, + inherits(x, "plotly_polygon") + ) # perform the evaluation x <- rapply(x, eval_attr, data = d, how = "list") diff --git a/R/plotly_data.R b/R/plotly_data.R index bb843245c7..718dd0d31c 100644 --- a/R/plotly_data.R +++ b/R/plotly_data.R @@ -153,6 +153,8 @@ transmute_.plotly <- function(.data, ..., .dots) { # @param groupNames name(s) of the grouping variable(s) as a character vector # @param nested other variables that group should be nested # (i.e., ordered) within. +# @param ordered a variable to arrange by (within nested & groupNames). This +# is useful primarily for ordering by x # @param retrace.first should the first row of each group be appended to the # last row? This is useful for enclosing polygons with lines. # @examples @@ -163,7 +165,7 @@ transmute_.plotly <- function(.data, ..., .dots) { # plot_ly(group2NA(elong, "variable"), x = ~date, y = ~value) # -group2NA <- function(data, groupNames = "group", nested = NULL, +group2NA <- function(data, groupNames = "group", nested = NULL, ordered = NULL, retrace.first = inherits(data, "GeomPolygon")) { if (nrow(data) == 0) return(data) # a few workarounds since dplyr clobbers classes that we rely on in ggplotly @@ -172,13 +174,24 @@ group2NA <- function(data, groupNames = "group", nested = NULL, # sanitize variable names groupNames <- groupNames[groupNames %in% names(data)] nested <- nested[nested %in% names(data)] - # nothing to do if the group var doesn't exist - if (!length(groupNames)) return(data) - # arrange + group_by, ignoring any already existing groups - vars <- c(nested, groupNames) - data <- data[do.call(order, data[, vars, drop = FALSE]), ] + ordered <- ordered[ordered %in% names(data)] + # ignore any already existing groups data <- dplyr::ungroup(data) - for (i in vars) { + # if group doesn't exist, just arrange before returning + if (!length(groupNames)) { + if (length(ordered)) { + data <- dplyr::arrange_(data, c(nested, ordered)) + } + return(data) + } + allVars <- c(nested, groupNames, ordered) + for (i in allVars) { + data <- dplyr::group_by_(data, i, add = TRUE) + } + # first, arrange everything + data <- dplyr::do(data, dplyr::arrange_(., allVars)) + data <- dplyr::ungroup(data) + for (i in c(nested, groupNames)) { data <- dplyr::group_by_(data, i, add = TRUE) } d <- if (retrace.first) { @@ -186,7 +199,7 @@ group2NA <- function(data, groupNames = "group", nested = NULL, } else { dplyr::do(data, rbind(., NA)) } - # TODO: how to drop the NAs separating the nested values? + # TODO: how to drop the NAs separating the nested values? Does it even matter? # d <- dplyr::ungroup(d) # for (i in nested) { # d <- dplyr::group_by_(dplyr::ungroup(d), i, add = TRUE) @@ -196,3 +209,7 @@ group2NA <- function(data, groupNames = "group", nested = NULL, if (all(is.na(d[n, ]))) d <- d[-n, ] structure(d, class = datClass) } + + +# to appease R CMD check (currently we reference '.' in group2NA) +utils::globalVariables(".") From 6410831b4f912fa150b36230d59dd3daa1dd29ce Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Mon, 20 Jun 2016 21:05:26 -0500 Subject: [PATCH 40/73] maybe caching is the problem --- .travis.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.travis.yml b/.travis.yml index 98329875e3..5efb650a8e 100644 --- a/.travis.yml +++ b/.travis.yml @@ -17,9 +17,9 @@ env: # GITHUB_PAT (for pushing to plotly-test-table) - secure: "LHJONgWOo+98vNeFLI7LSJU3RtbMVszlI79GB8CcXmc2mlgM/UtZ5b6RnkNlhmg3Gj1/uObfm/rIybVTwuS1yNpeKv73+gsZOYhobVXiUGVxdRFG/mg5mbqwyWkkuofjPGFlMZCEMgHim37eZzgjSibwVH1LClRDsCoFMCgvgV0=" -cache: - directories: - $R_LIBS_USER +#cache: +# directories: +# $R_LIBS_USER before_script: - mkdir -p "$R_LIBS_USER" From a5600a77bbde935b852c1b0981744294e9ac3df0 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Mon, 20 Jun 2016 21:21:33 -0500 Subject: [PATCH 41/73] GGally --- .travis.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.travis.yml b/.travis.yml index 5efb650a8e..917f98cd5a 100644 --- a/.travis.yml +++ b/.travis.yml @@ -31,6 +31,7 @@ before_script: - Rscript -e 'if (length(find.package("devtools", quiet = TRUE)) == 0L) { install.packages("devtools", repos = "http://cran.rstudio.com") }' - Rscript -e 'devtools::update_packages("devtools", repos = "http://cran.rstudio.com")' - Rscript -e 'devtools::install_deps(repos = "http://cran.rstudio.com", dependencies = TRUE)' + - Rscript -e 'install.packages("GGally")' - cd ..; rm -f *.tar.gz; R CMD build $R_PKG - R CMD INSTALL ${R_PKG}_*.tar.gz From 57a9b711f8f7523faa22420f137044ca99da33b1 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Mon, 20 Jun 2016 21:40:51 -0500 Subject: [PATCH 42/73] are we having fun yet? --- .travis.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.travis.yml b/.travis.yml index 917f98cd5a..35ab6c689f 100644 --- a/.travis.yml +++ b/.travis.yml @@ -31,7 +31,7 @@ before_script: - Rscript -e 'if (length(find.package("devtools", quiet = TRUE)) == 0L) { install.packages("devtools", repos = "http://cran.rstudio.com") }' - Rscript -e 'devtools::update_packages("devtools", repos = "http://cran.rstudio.com")' - Rscript -e 'devtools::install_deps(repos = "http://cran.rstudio.com", dependencies = TRUE)' - - Rscript -e 'install.packages("GGally")' + - Rscript -e 'install.packages("GGally", repos = "http://cran.rstudio.com")' - cd ..; rm -f *.tar.gz; R CMD build $R_PKG - R CMD INSTALL ${R_PKG}_*.tar.gz From 254422cebca2d2da4a51b4e595390a81986a4496 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Mon, 20 Jun 2016 22:49:48 -0500 Subject: [PATCH 43/73] I give up --- vignettes/subplot.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vignettes/subplot.Rmd b/vignettes/subplot.Rmd index 91aa1e0459..fe66752157 100644 --- a/vignettes/subplot.Rmd +++ b/vignettes/subplot.Rmd @@ -150,7 +150,7 @@ This infrastructure allows `ggplotly()` to understand ggmatrix objects -- the class of object returned by the `ggpairs()` function in the **GGally** package. -```{r, fig.height = 5} +```{r, fig.height = 5, eval = FALSE} pm <- GGally::ggpairs(iris) ggplotly(pm) ``` From d6aeeec5c3ace7aa3a3d8a3bdab7f9c3c1ad5ebe Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Tue, 21 Jun 2016 13:58:58 -0500 Subject: [PATCH 44/73] more transform/group fixes; deparsed axis titles should only be set when empty --- R/plotly_build.R | 139 ++++++++++++++++++++++------------- R/plotly_data.R | 4 +- tests/testthat.R | 2 +- tests/testthat/test-plotly.R | 14 ++++ 4 files changed, 104 insertions(+), 55 deletions(-) diff --git a/R/plotly_build.R b/R/plotly_build.R index ed4ff4a1b0..63b7c3ef1c 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -52,6 +52,7 @@ plotly_build.plotly <- function(p) { } dats <- Map(function(x, y) { + # add sensible axis names to layout for (i in c("x", "y", "z")) { nm <- paste0(i, "axis") @@ -59,43 +60,69 @@ plotly_build.plotly <- function(p) { if (length(idx) == 1) { title <- sub("^~", "", deparse2(x[[idx]])) if (is3d(x$type) || i == "z") { - p$x$layout$scene[[nm]]$title <<- title + p$x$layout$scene[[nm]]$title <<- p$x$layout$scene[[nm]]$title %||% title } else { - p$x$layout[[nm]]$title <<- title + p$x$layout[[nm]]$title <<- p$x$layout[[nm]]$title %||% title } } } - d <- plotly_data(p, y) - # in order to do grouping _within trace_ correctly, we need to know about - # variables that transform one trace into multiple traces - nestedVars <- list() + # perform the evaluation + # TODO: remove/warn about missing values here? Provide a way to control na.color? + dat <- plotly_data(p, y) + x <- rapply(x, eval_attr, data = dat, how = "list") + # ensure we have a trace type (depends on the # of data points) + x <- verify_type(x) + + # TODO: if we ever provide some semantics for statistics, it should probably go here + + # gather the "built" or "evaluated" data + nobs <- NROW(dat) + isVar <- vapply(x, function(attr) length(attr) == nobs, logical(1)) + builtData <- data.frame(x[isVar & !names(x) %in% c("colors", "symbols", "linetypes")]) + x$.plotlyVariableMapping <- names(builtData) + + # find any groupings, so we can arrange the data now, + # and insert missing values (to create gaps between traces) later + grps <- as.character(dplyr::groups(dat)) + # does grouping even make sense for this trace type? + hasGrp <- inherits(x, c("plotly_lines", "plotly_polygon")) || + (grepl("scatter", x$type) && grepl("lines", x$mode %||% "lines")) + if (length(grps) && hasGrp) { + if (isTRUE(x$connectgaps)) { + stop( + "Can't set connectgaps=T in a trace that has 1 or more groups.", + call. = FALSE + ) + } + builtData$group <- interaction(dat[, grps, drop = FALSE]) + } + + # build the index used to transform one "trace" into multiple traces + discreteMappings <- list() for (i in c("symbol", "linetype", "color")) { - newVar <- eval_attr(x[[i]], d) - if (is.null(newVar) || i == "color" && !is.discrete(newVar)) next - id <- paste0("x", new_id()) - nestedVars[[id]] <- i - d[[id]] <- newVar + if (is.null(x[[i]]) || i == "color" && !is.discrete(x[[i]])) next + discreteMappings[[i]] <- x[[i]] } - # if the data has groups, insert missing values to introduce gaps - grps <- dplyr::groups(d) - if (length(grps) &&isTRUE(x$connectgaps)) { - stop("Can't set connectgaps=T in a trace that has 1 or more groups.", call. = FALSE) + if (!is.null(names(discreteMappings))) { + paste_it <- function(...) paste(..., sep = "
") + builtData$.plotlyTraceIndex <- do.call(paste_it, discreteMappings) } - d <- group2NA( - d, as.character(grps), names(nestedVars), - if (inherits(x, "plotly_line")) "x" else NULL, - inherits(x, "plotly_polygon") + # arrange the built data + arrangeVars <- c( + ".plotlyTraceIndex", "group", if (inherits(x, "plotly_line")) "x" ) + arrangeVars <- arrangeVars[arrangeVars %in% names(builtData)] + if (length(arrangeVars)) { + builtData <- dplyr::arrange_(builtData, arrangeVars) + } + # copy over to the trace data + for (i in names(builtData)) { + x[[i]] <- builtData[[i]] + } - # perform the evaluation - x <- rapply(x, eval_attr, data = d, how = "list") - - # ensure we have a trace type (depends on the # of data points) - x <- verify_type(x) - - attrLengths <- lengths(x) # if appropriate, set the mode now since we need to reference it later + attrLengths <- lengths(x) if (grepl("scatter", x$type) && is.null(x$mode)) { x$mode <- if (any(attrLengths > 20)) "lines" else "markers+lines" } @@ -104,40 +131,48 @@ plotly_build.plotly <- function(p) { }, p$x$attrs, names2(p$x$attrs)) - # "transforms" of (i.e., apply scaling to) special arguments - # IMPORTANT: these should be applied at the plot-level - colorTitle <- unlist(lapply(p$x$attrs, function(x) x$color %||% x$z))[[1]] - dats <- map_color(dats, title = sub("^~", "", deparse2(colorTitle))) - dats <- map_size(dats) - dats <- map_symbol(dats) - dats <- map_linetype(dats) - # traceify by the interaction of discrete variables - # although I hate this programming pattern, it seems necessary since we don't - # know how many traces we need traces <- list() for (i in seq_along(dats)) { d <- dats[[i]] + scaleAttrs <- names(d) %in% c("colors", "linetypes", "symbols", "sizes") + traces <- c(traces, traceify(d[!scaleAttrs], d$.plotlyTraceIndex)) + if (i == 1) traces[[1]] <- c(traces[[1]], d[scaleAttrs]) + } + + # insert NAs to differentiate groups + traces <- lapply(traces, function(x) { + d <- data.frame(x[names(x) %in% c(x$.plotlyVariableMapping, "group")]) + d <- group2NA(d, retrace.first = inherits(x, "plotly_polygon")) + for (i in x$.plotlyVariableMapping) { + x[[i]] <- uniq(d[[i]]) + } + x + }) + + # "transforms" of (i.e., apply scaling to) special arguments + # IMPORTANT: scales are applied at the plot-level!! + colorTitle <- unlist(lapply(p$x$attrs, function(x) x$color %||% x$z))[[1]] + traces <- map_color(traces, title = sub("^~", "", deparse2(colorTitle))) + traces <- map_size(traces) + traces <- map_symbol(traces) + traces <- map_linetype(traces) + + # remove special mapping attributes + for (i in seq_along(traces)) { mappingAttrs <- c( "color", "colors", "symbol", "symbols", - "linetype", "linetypes", "size", "sizes" + "linetype", "linetypes", "size", "sizes", + "group", ".plotlyTraceIndex", ".plotlyVariableMapping" ) for (j in mappingAttrs) { - dats[[i]][[j]] <- NULL + traces[[i]][[j]] <- NULL } - params <- list( - if (is.discrete(d[["color"]])) d[["color"]], - d[["symbol"]], - d[["linetype"]] - ) - params <- compact(params) %||% list(NULL) - idx <- do.call("interaction", params) - traces <- c(traces, traceify(dats[[i]], idx)) } - # it's possible that some things (like figures pulled from a plotly server) - # already have "built" data - p$x$data <- c(p$x$data, traces) + # it's possible that the plot object already has some traces + # (like figures pulled from a plotly server) + p$x$data <- setNames(c(p$x$data, traces), NULL) # get rid of data -> vis mapping stuff p$x[c("visdat", "cur_data", "attrs")] <- NULL @@ -159,9 +194,6 @@ plotly_build.plotly <- function(p) { } } - # traces can't have names - p$x$data <- setNames(p$x$data, NULL) - # verify plot attributes are legal according to the plotly.js spec p <- verify_attr_names(p) # box up 'data_array' attributes where appropriate @@ -312,6 +344,7 @@ map_color <- function(traces, title = "", na.color = "transparent") { "When using the color/colors arguments, only one palette is allowed.", call. = FALSE) } + colScale <- scales::col_factor(palette, levels = lvls, na.color = na.color) for (i in which(isDiscrete)) { if (hasLine[[i]]) { @@ -441,7 +474,7 @@ traceify <- function(dat, x = NULL) { n <- length(x) # recursively search for a non-list of appropriate length (if it is, subset it) recurse <- function(z, n, idx) { - if (is.list(z)) lapply(z, recurse, n, idx) else if (length(z) == n) uniq(z[idx]) else z + if (is.list(z)) lapply(z, recurse, n, idx) else if (length(z) == n) z[idx] else z } new_dat <- list() for (j in seq_along(lvls)) { diff --git a/R/plotly_data.R b/R/plotly_data.R index 718dd0d31c..80c348fbbe 100644 --- a/R/plotly_data.R +++ b/R/plotly_data.R @@ -167,16 +167,18 @@ transmute_.plotly <- function(.data, ..., .dots) { group2NA <- function(data, groupNames = "group", nested = NULL, ordered = NULL, retrace.first = inherits(data, "GeomPolygon")) { - if (nrow(data) == 0) return(data) + if (NROW(data) == 0) return(data) # a few workarounds since dplyr clobbers classes that we rely on in ggplotly retrace <- force(retrace.first) datClass <- class(data) + # sanitize variable names groupNames <- groupNames[groupNames %in% names(data)] nested <- nested[nested %in% names(data)] ordered <- ordered[ordered %in% names(data)] # ignore any already existing groups data <- dplyr::ungroup(data) + # if group doesn't exist, just arrange before returning if (!length(groupNames)) { if (length(ordered)) { diff --git a/tests/testthat.R b/tests/testthat.R index 8184c82aec..ccae55ab7e 100644 --- a/tests/testthat.R +++ b/tests/testthat.R @@ -18,7 +18,7 @@ if (report_diffs || build_table) { # we don't make assumptions about ggplot2 versioning, # but it is _strongly_ recommended to use the CRAN version (of ggplot2) RSeval(conn, "devtools::install_github('ropensci/plotly')") - #RSeval(conn, "library(plotly)") + RSeval(conn, "library(plotly)") if (report_diffs) { # hash of the version being tested this_hash <- substr(Sys.getenv("TRAVIS_COMMIT"), 1, 7) diff --git a/tests/testthat/test-plotly.R b/tests/testthat/test-plotly.R index 0b96b12394..d4881c2110 100644 --- a/tests/testthat/test-plotly.R +++ b/tests/testthat/test-plotly.R @@ -122,3 +122,17 @@ test_that("x/y/z properties have a class of AsIs", { expect_true(inherits(tr$y, "AsIs")) expect_true(inherits(tr$z, "AsIs")) }) + +test_that("grouping within multiples traces works", { + g <- expand.grid(visit = 1:2, id = 1:3, cohort = c("A", "B")) + g$response <- rnorm(nrow(g)) + d <- group_by(g, id) + p <- plot_ly(d, x = ~visit, y = ~response, color = ~cohort, colors = c("red", "blue")) + l <- expect_traces(p, 2, "group-within-trace") + expect_equal(l$data[[1]]$x, c(1, 2, NA, 1, 2, NA, 1, 2)) + expect_equal(l$data[[2]]$x, c(1, 2, NA, 1, 2, NA, 1, 2)) + expect_true(l$data[[1]]$marker$color == "#FF0000") + expect_true(l$data[[1]]$line$color == "#FF0000") + expect_true(l$data[[2]]$marker$color == "#0000FF") + expect_true(l$data[[2]]$line$color == "#0000FF") +}) From 6a59af221cad8e5bed5b1662ff5631ea1e6bebda Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Tue, 21 Jun 2016 14:54:48 -0500 Subject: [PATCH 45/73] fix some special cases in color mapping --- R/plotly_build.R | 21 ++++++++++++++------- R/utils.R | 9 +++++++++ 2 files changed, 23 insertions(+), 7 deletions(-) diff --git a/R/plotly_build.R b/R/plotly_build.R index 63b7c3ef1c..6a5229610d 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -152,8 +152,11 @@ plotly_build.plotly <- function(p) { # "transforms" of (i.e., apply scaling to) special arguments # IMPORTANT: scales are applied at the plot-level!! - colorTitle <- unlist(lapply(p$x$attrs, function(x) x$color %||% x$z))[[1]] - traces <- map_color(traces, title = sub("^~", "", deparse2(colorTitle))) + colorTitle <- unlist(lapply(p$x$attrs, function(x) { + col <- x[["color"]] %||% x[["z"]] + if (lazyeval::is_lang(col)) sub("^~", "", deparse2(col)) else "" + })) + traces <- map_color(traces, title = paste(colorTitle, collapse = "
")) traces <- map_size(traces) traces <- map_symbol(traces) traces <- map_linetype(traces) @@ -251,7 +254,9 @@ map_size <- function(traces) { # appends a new (empty) trace to generate (plot-wide) colorbar/colorscale map_color <- function(traces, title = "", na.color = "transparent") { - color <- lapply(traces, function(x) x$color %||% if (has_attr(x$type, "zmin")) x$z else NULL) + color <- lapply(traces, function(x) { + x[["color"]] %||% if (has_attr(x$type, "zmin")) x[["z"]] else NULL + }) nColors <- lengths(color) # if no "top-level" color is present, return traces untouched if (all(nColors == 0)) { @@ -272,7 +277,7 @@ map_color <- function(traces, title = "", na.color = "transparent") { any(vapply(traces, function(tr) !is.null(tr$z), logical(1))) if (any(isNumeric)) { - palette <- traces[[1]]$colors %||% viridisLite::viridis(10) + palette <- traces[[1]][["colors"]] %||% viridisLite::viridis(10) # TODO: use ggstat::frange() when it's on CRAN? allColor <- unlist(color[isNumeric]) rng <- range(allColor, na.rm = TRUE) @@ -297,18 +302,20 @@ map_color <- function(traces, title = "", na.color = "transparent") { if (types[[i]] %in% c("scatter", "scattergl")) { warning("Numeric color variables cannot (yet) be mapped to lines.\n", " when the trace type is 'scatter' or 'scattergl'.\n", call. = FALSE) - traces[[i]]$mode <- "markers" + traces[[i]]$mode <- paste0(traces[[i]]$mode, "+markers") hasMarker[[i]] <- TRUE } } if (hasMarker[[i]]) { traces[[i]]$marker <- modify_list(colorObj, traces[[i]]$marker) + traces[[i]]$marker$colorscale <- as_df(traces[[i]]$marker$colorscale) } if (hasZ[[i]]) { colorObj[c("zmin", "zmax")] <- colorObj[c("cmin", "cmax")] colorObj[c("cmin", "cmax")] <- NULL - colorObj$showscale <- TRUE + colorObj[["showscale"]] <- TRUE traces[[i]] <- modify_list(colorObj, traces[[i]]) + traces[[i]]$colorscale <- as_df(traces[[i]]$colorscale) } if (hasText[[i]]) { warning("Numeric color variables cannot (yet) be mapped to text.\n", @@ -337,7 +344,7 @@ map_color <- function(traces, title = "", na.color = "transparent") { allColor <- unlist(color[isDiscrete]) lvls <- unique(allColor) N <- length(lvls) - palette <- traces[[1]]$colors %||% + palette <- traces[[1]][["colors"]] %||% if (is.ordered(allColor)) viridisLite::viridis(N) else RColorBrewer::brewer.pal(N, "Set2") if (is.list(palette) && length(palette) > 1) { stop("Multiple numeric color palettes specified (via the colors argument).\n", diff --git a/R/utils.R b/R/utils.R index 22942c059e..4ba67e09c2 100644 --- a/R/utils.R +++ b/R/utils.R @@ -39,6 +39,15 @@ names2 <- function(x) { names(x) %||% rep("", length(x)) } +# modifyList turns elements that are data.frames into lists +# which changes the behavior of toJSON +as_df <- function(x) { + if (is.null(x) || is.matrix(x)) return(x) + if (is.list(x) && !is.data.frame(x)) { + setNames(as.data.frame(x), NULL) + } +} + verify_arg <- function(arg) { if (missing(arg)) return(NULL) if (!is.formula(arg)) { From 14abd2a669fac8b8865c4bd828283298485a6f25 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Tue, 21 Jun 2016 15:19:50 -0500 Subject: [PATCH 46/73] make hide_colorbar more universal; don't require formulas for variable mappings --- NAMESPACE | 23 ++++++++++++----------- R/add.R | 7 ++++--- R/helpers.R | 11 ++++++++--- R/imports.R | 2 +- R/plotly.R | 8 ++++---- R/utils.R | 8 -------- man/add_ribbons.Rd | 4 ++++ man/add_text.Rd | 2 +- man/plotly_data.Rd | 22 +++++++++++----------- 9 files changed, 45 insertions(+), 42 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index 7ad3f3249c..75f1f55be0 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,5 +1,7 @@ # Generated by roxygen2: do not edit by hand +S3method(arrange_,plotly) +S3method(distinct_,plotly) S3method(geom2trace,GeomBar) S3method(geom2trace,GeomBlank) S3method(geom2trace,GeomBoxplot) @@ -13,12 +15,19 @@ S3method(geom2trace,GeomTile) S3method(geom2trace,default) S3method(ggplotly,ggmatrix) S3method(ggplotly,ggplot) +S3method(group_by_,plotly) +S3method(groups,plotly) S3method(layout,matrix) S3method(layout,plotly) +S3method(mutate_,plotly) S3method(plotly_build,gg) S3method(plotly_build,list) S3method(plotly_build,plotly) S3method(print,plotly_figure) +S3method(rename_,plotly) +S3method(select_,plotly) +S3method(slice_,plotly) +S3method(summarise_,plotly) S3method(to_basic,GeomAbline) S3method(to_basic,GeomArea) S3method(to_basic,GeomBoxplot) @@ -44,6 +53,8 @@ S3method(to_basic,GeomTile) S3method(to_basic,GeomViolin) S3method(to_basic,GeomVline) S3method(to_basic,default) +S3method(transmute_,plotly) +S3method(ungroup,plotly) export("%>%") export(add_data) export(add_lines) @@ -53,10 +64,8 @@ export(add_polygons) export(add_ribbons) export(add_text) export(add_trace) -export(arrange_.plotly) export(as.widget) export(config) -export(distinct_.plotly) export(embed_notebook) export(event_data) export(export) @@ -66,11 +75,8 @@ export(get_figure) export(gg2list) export(ggplotly) export(group_by) -export(group_by_.plotly) -export(groups.plotly) export(knit_print.plotly_figure) export(layout) -export(mutate_.plotly) export(offline) export(plot_ly) export(plotly) @@ -81,20 +87,14 @@ export(plotly_build) export(plotly_data) export(plotly_empty) export(plotly_json) -export(rename_.plotly) export(renderPlotly) export(schema) -export(select_.plotly) export(signup) -export(slice_.plotly) export(style) export(subplot) -export(summarise_.plotly) export(toRGB) export(toWebGL) export(to_basic) -export(transmute_.plotly) -export(ungroup.plotly) import(ggplot2) importFrom(base64enc,base64encode) importFrom(dplyr,arrange_) @@ -129,6 +129,7 @@ importFrom(jsonlite,toJSON) importFrom(lazyeval,all_dots) importFrom(lazyeval,f_eval) importFrom(lazyeval,is_formula) +importFrom(lazyeval,is_lang) importFrom(magrittr,"%>%") importFrom(stats,complete.cases) importFrom(stats,quantile) diff --git a/R/add.R b/R/add.R index c642c4df31..a51e042ded 100644 --- a/R/add.R +++ b/R/add.R @@ -54,9 +54,10 @@ add_trace <- function(p, ..., attrs <- list(...) # tack on "special" arguments - attrs$color <- verify_arg(color) - attrs$symbol <- verify_arg(symbol) - attrs$size <- verify_arg(size) + attrs$color <- if (!missing(color)) color + attrs$symbol <- if (!missing(symbol)) symbol + attrs$linetype <- if (!missing(linetype)) linetype + attrs$size <- if (!missing(size)) size if (!is.null(attrs[["group"]])) { warning("The group argument has been deprecated. Use group_by() instead.") diff --git a/R/helpers.R b/R/helpers.R index e7d7be7cf3..95fa842d21 100644 --- a/R/helpers.R +++ b/R/helpers.R @@ -8,9 +8,14 @@ #' hide_colorbar() hide_colorbar <- function(p) { p <- plotly_build(p) - idx <- vapply(p$x$data, is.colorbar, logical(1)) - for (i in which(idx)) { - p$x$data[[i]]$marker$showscale <- FALSE + for (i in seq_along(p$x$data)) { + trace <- p$x$data[[i]] + if (has_attr(trace$type, "showscale")) { + p$x$data[[i]]$showscale <- FALSE + } + if (has_attr(trace$type, "marker")) { + p$x$data[[i]]$marker$showscale <- FALSE + } } p } diff --git a/R/imports.R b/R/imports.R index 1fa70fa4fa..88d1bea9e5 100644 --- a/R/imports.R +++ b/R/imports.R @@ -9,5 +9,5 @@ #' @importFrom jsonlite toJSON fromJSON #' @importFrom httr GET POST PATCH content config add_headers stop_for_status #' @importFrom htmlwidgets createWidget sizingPolicy saveWidget -#' @importFrom lazyeval f_eval is_formula all_dots +#' @importFrom lazyeval f_eval is_formula all_dots is_lang NULL diff --git a/R/plotly.R b/R/plotly.R index 45eb45587c..bf7d825682 100644 --- a/R/plotly.R +++ b/R/plotly.R @@ -90,10 +90,10 @@ plot_ly <- function(data = data.frame(), ..., type = NULL, group, } # tack on "special" arguments - attrs$color <- verify_arg(color) - attrs$symbol <- verify_arg(symbol) - attrs$linetype <- verify_arg(linetype) - attrs$size <- verify_arg(size) + attrs$color <- if (!missing(color)) color + attrs$symbol <- if (!missing(symbol)) symbol + attrs$linetype <- if (!missing(linetype)) linetype + attrs$size <- if (!missing(size)) size attrs$colors <- colors attrs$symbols <- symbols diff --git a/R/utils.R b/R/utils.R index 4ba67e09c2..59f0ce8c85 100644 --- a/R/utils.R +++ b/R/utils.R @@ -48,14 +48,6 @@ as_df <- function(x) { } } -verify_arg <- function(arg) { - if (missing(arg)) return(NULL) - if (!is.formula(arg)) { - stop("Argument must be a formula.") - } - arg -} - # make sure plot attributes adhere to the plotly.js schema verify_attr_names <- function(p) { # some layout attributes (e.g., [x-y]axis can have trailing numbers) diff --git a/man/add_ribbons.Rd b/man/add_ribbons.Rd index 4395588da1..db7ac49d19 100644 --- a/man/add_ribbons.Rd +++ b/man/add_ribbons.Rd @@ -4,6 +4,8 @@ \alias{add_ribbons} \title{Add ribbons to a plotly vis} \usage{ +add_ribbons(p, ...) + add_ribbons(p, ...) } \arguments{ @@ -13,6 +15,8 @@ add_ribbons(p, ...) Note that acceptable arguments depend on the trace type.} } \description{ +Ribbons are a special case of polygons. + Ribbons are a special case of polygons. } diff --git a/man/add_text.Rd b/man/add_text.Rd index ee784a819d..6e6ec13e6c 100644 --- a/man/add_text.Rd +++ b/man/add_text.Rd @@ -4,7 +4,7 @@ \alias{add_text} \title{Add text to a plotly vis} \usage{ -add_text(p, ...) +add_text(p, text = NULL, ...) } \arguments{ \item{p}{a plotly or ggplot object.} diff --git a/man/plotly_data.Rd b/man/plotly_data.Rd index d45f8732ac..7ee3388c2c 100644 --- a/man/plotly_data.Rd +++ b/man/plotly_data.Rd @@ -18,29 +18,29 @@ \usage{ plotly_data(p, id = p$x$cur_data) -groups.plotly(x) +\method{groups}{plotly}(x) -group_by_.plotly(.data, ..., .dots, add = FALSE) +\method{group_by_}{plotly}(.data, ..., .dots, add = FALSE) -ungroup.plotly(x) +\method{ungroup}{plotly}(x) -summarise_.plotly(.data, ..., .dots) +\method{summarise_}{plotly}(.data, ..., .dots) -mutate_.plotly(.data, ..., .dots) +\method{mutate_}{plotly}(.data, ..., .dots) -arrange_.plotly(.data, ..., .dots) +\method{arrange_}{plotly}(.data, ..., .dots) -select_.plotly(.data, ..., .dots) +\method{select_}{plotly}(.data, ..., .dots) filter_.plotly(.data, ..., .dots) -distinct_.plotly(.data, ..., .dots) +\method{distinct_}{plotly}(.data, ..., .dots) -slice_.plotly(.data, ..., .dots) +\method{slice_}{plotly}(.data, ..., .dots) -rename_.plotly(.data, ..., .dots) +\method{rename_}{plotly}(.data, ..., .dots) -transmute_.plotly(.data, ..., .dots) +\method{transmute_}{plotly}(.data, ..., .dots) } \description{ \code{plotly_data()} returns the data associated with From c48c5ae2906bcbcaccedefe8f76fa1323f6f290f Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Tue, 21 Jun 2016 15:56:06 -0500 Subject: [PATCH 47/73] better 3d/z color mapping --- R/plotly_build.R | 24 ++++++++++++++---------- 1 file changed, 14 insertions(+), 10 deletions(-) diff --git a/R/plotly_build.R b/R/plotly_build.R index 6a5229610d..320e377575 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -154,7 +154,7 @@ plotly_build.plotly <- function(p) { # IMPORTANT: scales are applied at the plot-level!! colorTitle <- unlist(lapply(p$x$attrs, function(x) { col <- x[["color"]] %||% x[["z"]] - if (lazyeval::is_lang(col)) sub("^~", "", deparse2(col)) else "" + if (is.language(col)) sub("^~", "", deparse2(col)) else "" })) traces <- map_color(traces, title = paste(colorTitle, collapse = "
")) traces <- map_size(traces) @@ -255,7 +255,7 @@ map_size <- function(traces) { # appends a new (empty) trace to generate (plot-wide) colorbar/colorscale map_color <- function(traces, title = "", na.color = "transparent") { color <- lapply(traces, function(x) { - x[["color"]] %||% if (has_attr(x$type, "zmin")) x[["z"]] else NULL + x[["color"]] %||% if (has_attr(x$type, "colorscale")) x[["z"]] else NULL }) nColors <- lengths(color) # if no "top-level" color is present, return traces untouched @@ -273,7 +273,7 @@ map_color <- function(traces, title = "", na.color = "transparent") { hasMarker <- has_marker(types, modes) hasLine <- has_line(types, modes) hasText <- has_text(types, modes) - hasZ <- has_attr(types, "zmin") & + hasZ <- has_attr(types, "colorscale") & any(vapply(traces, function(tr) !is.null(tr$z), logical(1))) if (any(isNumeric)) { @@ -297,6 +297,13 @@ map_color <- function(traces, title = "", na.color = "transparent") { showscale = FALSE ) for (i in which(isNumeric)) { + if (hasZ[[i]]) { + colorObj[c("cmin", "cmax")] <- NULL + colorObj[["showscale"]] <- TRUE + traces[[i]] <- modify_list(colorObj, traces[[i]]) + traces[[i]]$colorscale <- as_df(traces[[i]]$colorscale) + next + } colorObj$color <- color[[i]] if (hasLine[[i]]) { if (types[[i]] %in% c("scatter", "scattergl")) { @@ -310,13 +317,6 @@ map_color <- function(traces, title = "", na.color = "transparent") { traces[[i]]$marker <- modify_list(colorObj, traces[[i]]$marker) traces[[i]]$marker$colorscale <- as_df(traces[[i]]$marker$colorscale) } - if (hasZ[[i]]) { - colorObj[c("zmin", "zmax")] <- colorObj[c("cmin", "cmax")] - colorObj[c("cmin", "cmax")] <- NULL - colorObj[["showscale"]] <- TRUE - traces[[i]] <- modify_list(colorObj, traces[[i]]) - traces[[i]]$colorscale <- as_df(traces[[i]]$colorscale) - } if (hasText[[i]]) { warning("Numeric color variables cannot (yet) be mapped to text.\n", "Feel free to make a feature request \n", @@ -337,6 +337,10 @@ map_color <- function(traces, title = "", na.color = "transparent") { showlegend = FALSE, marker = colorObj ) + if ("scatter3d" %in% unlist(lapply(traces, "[[", "type"))) { + colorBarTrace$type <- "scatter3d" + colorBarTrace$z <- range(unlist(lapply(traces, "[[", "z")), na.rm = TRUE) + } traces[[length(traces) + 1]] <- structure(colorBarTrace, class = "plotly_colorbar") } From 09a03d437f57c35afad38d40ab90103dc99c4489 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Tue, 21 Jun 2016 16:13:45 -0500 Subject: [PATCH 48/73] go back to caching --- .travis.yml | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/.travis.yml b/.travis.yml index 35ab6c689f..98329875e3 100644 --- a/.travis.yml +++ b/.travis.yml @@ -17,9 +17,9 @@ env: # GITHUB_PAT (for pushing to plotly-test-table) - secure: "LHJONgWOo+98vNeFLI7LSJU3RtbMVszlI79GB8CcXmc2mlgM/UtZ5b6RnkNlhmg3Gj1/uObfm/rIybVTwuS1yNpeKv73+gsZOYhobVXiUGVxdRFG/mg5mbqwyWkkuofjPGFlMZCEMgHim37eZzgjSibwVH1LClRDsCoFMCgvgV0=" -#cache: -# directories: -# $R_LIBS_USER +cache: + directories: + $R_LIBS_USER before_script: - mkdir -p "$R_LIBS_USER" @@ -31,7 +31,6 @@ before_script: - Rscript -e 'if (length(find.package("devtools", quiet = TRUE)) == 0L) { install.packages("devtools", repos = "http://cran.rstudio.com") }' - Rscript -e 'devtools::update_packages("devtools", repos = "http://cran.rstudio.com")' - Rscript -e 'devtools::install_deps(repos = "http://cran.rstudio.com", dependencies = TRUE)' - - Rscript -e 'install.packages("GGally", repos = "http://cran.rstudio.com")' - cd ..; rm -f *.tar.gz; R CMD build $R_PKG - R CMD INSTALL ${R_PKG}_*.tar.gz From 066b12d37fd720a5432c6771db71a8691625f2bb Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Tue, 21 Jun 2016 21:01:03 -0500 Subject: [PATCH 49/73] get add_area()/add_ribbon() working; place all add_*() functions on ?add_trace --- NAMESPACE | 3 +- R/add.R | 90 ++++++++++++++++++++++++++++++++++++--------- R/plotly_build.R | 21 ++++++++++- man/add_lines.Rd | 18 --------- man/add_paths.Rd | 18 --------- man/add_polygons.Rd | 31 ---------------- man/add_ribbons.Rd | 22 ----------- man/add_text.Rd | 18 --------- man/add_trace.Rd | 48 ++++++++++++++++++++++++ man/plotly_data.Rd | 2 +- 10 files changed, 142 insertions(+), 129 deletions(-) delete mode 100644 man/add_lines.Rd delete mode 100644 man/add_paths.Rd delete mode 100644 man/add_polygons.Rd delete mode 100644 man/add_ribbons.Rd delete mode 100644 man/add_text.Rd diff --git a/NAMESPACE b/NAMESPACE index 75f1f55be0..3c891d969a 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -2,6 +2,7 @@ S3method(arrange_,plotly) S3method(distinct_,plotly) +S3method(filter_,plotly) S3method(geom2trace,GeomBar) S3method(geom2trace,GeomBlank) S3method(geom2trace,GeomBoxplot) @@ -61,7 +62,6 @@ export(add_lines) export(add_markers) export(add_paths) export(add_polygons) -export(add_ribbons) export(add_text) export(add_trace) export(as.widget) @@ -69,7 +69,6 @@ export(config) export(embed_notebook) export(event_data) export(export) -export(filter_.plotly) export(geom2trace) export(get_figure) export(gg2list) diff --git a/R/add.R b/R/add.R index a51e042ded..00a85a747f 100644 --- a/R/add.R +++ b/R/add.R @@ -24,6 +24,11 @@ add_data <- function(p, data = NULL) { #' @param p a plotly or ggplot object. #' @param ... These arguments are documented in the references section below. #' Note that acceptable arguments depend on the trace type. +#' @param x the x variable. +#' @param y the y variable. +#' @param text textual labels. +#' @param ymin a variable used to define the lower boundary of a polygon. +#' @param ymax a variable used to define the upper boundary of a polygon. #' @param color Either a variable name or a vector to use for color mapping. #' @param symbol Either a variable name or a (discrete) vector to use for symbol encoding. #' @param size A variable name or numeric vector to encode the size of markers. @@ -34,6 +39,7 @@ add_data <- function(p, data = NULL) { #' @references \url{https://plot.ly/r/reference/} #' @author Carson Sievert #' @export +#' @rdname add_trace #' @examples #' #' p <- plot_ly(economics, x = ~date, y = ~uempmed) @@ -76,6 +82,7 @@ add_trace <- function(p, ..., p } +# attach a class to a trace which informs data processing in plotly_build add_trace_classed <- function(p, class = "plotly_polygon", ...) { p <- add_trace(p, ...) nAttrs <- length(p$x$attrs) @@ -94,8 +101,15 @@ add_markers <- function(p, ...) { #' Add paths to a plotly vis #' #' @inheritParams add_trace +#' @rdname add_trace #' @export -add_paths <- function(p, ...) { +add_paths <- function(p, x = NULL, y = NULL, ...) { + if (is.null(x %||% p$x$attrs[[1]]$x)) { + stop("Must supply `x` attribute", call. = FALSE) + } + if (is.null(y %||% p$x$attrs[[1]]$y)) { + stop("Must supply `y` attribute", call. = FALSE) + } add_trace(p, type = "scatter", mode = "lines", ...) } @@ -104,8 +118,15 @@ add_paths <- function(p, ...) { #' Equivalent to \code{add_paths}, but with the x-values sorted. #' #' @inheritParams add_trace +#' @rdname add_trace #' @export -add_lines <- function(p, ...) { +add_lines <- function(p, x = NULL, y = NULL, ...) { + if (is.null(x %||% p$x$attrs[[1]]$x)) { + stop("Must supply `x` attribute", call. = FALSE) + } + if (is.null(y %||% p$x$attrs[[1]]$y)) { + stop("Must supply `y` attribute", call. = FALSE) + } add_trace_classed( p, class = "plotly_line", type = "scatter", mode = "lines", ... ) @@ -114,10 +135,17 @@ add_lines <- function(p, ...) { #' Add text to a plotly vis #' #' @inheritParams add_trace +#' @rdname add_trace #' @export -add_text <- function(p, text = NULL, ...) { +add_text <- function(p, x = NULL, y = NULL, text = NULL, ...) { + if (is.null(x %||% p$x$attrs[[1]]$x)) { + stop("Must supply `x` attribute", call. = FALSE) + } + if (is.null(y %||% p$x$attrs[[1]]$y)) { + stop("Must supply `y` attribute", call. = FALSE) + } if (is.null(text %||% p$x$attrs[[1]]$text)) { - stop("Must supply text attribute", call. = FALSE) + stop("Must supply `text` attribute", call. = FALSE) } add_trace(p, type = "scatter", mode = "text", text = text, ...) } @@ -125,9 +153,8 @@ add_text <- function(p, text = NULL, ...) { #' Add polygons to a plotly vis #' #' @inheritParams add_trace -#' @param mode Determines the drawing mode for this scatter trace -#' \url{https://plot.ly/r/reference/#scatter-mode} #' @export +#' @rdname add_trace #' @examples #' #' ggplot2::map_data("world", "canada") %>% @@ -137,37 +164,64 @@ add_text <- function(p, text = NULL, ...) { #' add_markers(text = ~paste(name, "
", pop), hoverinfo = "text", #' data = maps::canada.cities) %>% #' layout(showlegend = FALSE) -add_polygons <- function(p, mode = "lines", ...) { +add_polygons <- function(p, x = NULL, y = NULL, ...) { + if (is.null(x %||% p$x$attrs[[1]]$x)) { + stop("Must supply `x` attribute", call. = FALSE) + } + if (is.null(y %||% p$x$attrs[[1]]$y)) { + stop("Must supply `y` attribute", call. = FALSE) + } add_trace_classed( p, class = "plotly_polygon", type = "scatter", - fill = "toself", mode = mode, ... + fill = "toself", mode = "lines", ... ) } -#' Add ribbons to a plotly vis -#' -#' Ribbons are a special case of polygons. +#' Ribbon plots #' #' @inheritParams add_trace +#' @rdname add_trace #' @export -add_ribbons <- function(p, ...) { - # TODO: add ymin, ymax arguments? +#' +#' plot_ly(economics, x = ~date) %>% +#' add_ribbons(ymin = ~pce - 1e3, ymax = ~pce + 1e3) +#' +add_ribbons <- function(p, x = NULL, ymin = NULL, ymax = NULL, ...) { + if (is.null(x %||% p$x$attrs[[1]]$x)) { + stop("Must supply `x` attribute", call. = FALSE) + } + if (is.null(ymin %||% p$x$attrs[[1]]$ymin)) { + stop("Must supply `ymin` attribute", call. = FALSE) + } + if (is.null(ymax %||% p$x$attrs[[1]]$ymax)) { + stop("Must supply `ymax` attribute", call. = FALSE) + } add_trace_classed( p, class = c("plotly_ribbon", "plotly_polygon"), type = "scatter", fill = "toself", mode = "lines", ... ) } -#' Area +#' Area plots #' -#' Ribbons are a special case of polygons. +#' Equivalent to \link{add_ribbon} with \code{ymin} set to 0. #' #' @inheritParams add_trace +#' @rdname add_trace #' @export -add_ribbons <- function(p, ...) { - # TODO: add ymin, ymax arguments? +#' +#' huron <- data.frame(year = 1875:1972, level = as.vector(LakeHuron)) +#' plot_ly(huron, x = ~year, ymax = ~level) %>% add_area() +#' +add_area <- function(p, x = NULL, ymax = NULL, ...) { + if (is.null(x %||% p$x$attrs[[1]]$x)) { + stop("Must supply `x` attribute", call. = FALSE) + } + if (is.null(ymax %||% p$x$attrs[[1]]$ymax)) { + stop("Must supply `ymax` attribute", call. = FALSE) + } add_trace_classed( - p, class = c("plotly_ribbon", "plotly_polygon"), type = "scatter", + p, class = c("plotly_area", "plotly_ribbon", "plotly_polygon"), type = "scatter", fill = "toself", mode = "lines", ... ) } diff --git a/R/plotly_build.R b/R/plotly_build.R index 320e377575..2967771076 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -70,7 +70,7 @@ plotly_build.plotly <- function(p) { # perform the evaluation # TODO: remove/warn about missing values here? Provide a way to control na.color? dat <- plotly_data(p, y) - x <- rapply(x, eval_attr, data = dat, how = "list") + x <- structure(rapply(x, eval_attr, data = dat, how = "list"), class = class(x)) # ensure we have a trace type (depends on the # of data points) x <- verify_type(x) @@ -80,6 +80,9 @@ plotly_build.plotly <- function(p) { nobs <- NROW(dat) isVar <- vapply(x, function(attr) length(attr) == nobs, logical(1)) builtData <- data.frame(x[isVar & !names(x) %in% c("colors", "symbols", "linetypes")]) + builtData <- train_data(builtData, x) + # TODO: provide a better way to clean up "high-level" attrs + x[c("ymin", "ymax")] <- NULL x$.plotlyVariableMapping <- names(builtData) # find any groupings, so we can arrange the data now, @@ -210,6 +213,22 @@ plotly_build.plotly <- function(p) { p <- verify_hovermode(p) } +# ---------------------------------------------------------------- +# Functions used solely within plotly_build +# ---------------------------------------------------------------- + +train_data <- function(data, trace) { + if (inherits(trace, "plotly_area")) { + data$ymin <- 0 + } + if (inherits(trace, "plotly_ribbon")) { + data <- ribbon_dat(data) + } + # TODO: a lot more geoms!!! + data +} + + map_size <- function(traces) { sizeList <- lapply(traces, "[[", "size") nSizes <- lengths(sizeList) diff --git a/man/add_lines.Rd b/man/add_lines.Rd deleted file mode 100644 index a2d22933af..0000000000 --- a/man/add_lines.Rd +++ /dev/null @@ -1,18 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/add.R -\name{add_lines} -\alias{add_lines} -\title{Add lines to a plotly vis} -\usage{ -add_lines(p, ...) -} -\arguments{ -\item{p}{a plotly or ggplot object.} - -\item{...}{These arguments are documented in the references section below. -Note that acceptable arguments depend on the trace type.} -} -\description{ -Equivalent to \code{add_paths}, but with the x-values sorted. -} - diff --git a/man/add_paths.Rd b/man/add_paths.Rd deleted file mode 100644 index 9032799a63..0000000000 --- a/man/add_paths.Rd +++ /dev/null @@ -1,18 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/add.R -\name{add_paths} -\alias{add_paths} -\title{Add paths to a plotly vis} -\usage{ -add_paths(p, ...) -} -\arguments{ -\item{p}{a plotly or ggplot object.} - -\item{...}{These arguments are documented in the references section below. -Note that acceptable arguments depend on the trace type.} -} -\description{ -Add paths to a plotly vis -} - diff --git a/man/add_polygons.Rd b/man/add_polygons.Rd deleted file mode 100644 index f403b3cb82..0000000000 --- a/man/add_polygons.Rd +++ /dev/null @@ -1,31 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/add.R -\name{add_polygons} -\alias{add_polygons} -\title{Add polygons to a plotly vis} -\usage{ -add_polygons(p, mode = "lines", ...) -} -\arguments{ -\item{p}{a plotly or ggplot object.} - -\item{mode}{Determines the drawing mode for this scatter trace -\url{https://plot.ly/r/reference/#scatter-mode}} - -\item{...}{These arguments are documented in the references section below. -Note that acceptable arguments depend on the trace type.} -} -\description{ -Add polygons to a plotly vis -} -\examples{ - -ggplot2::map_data("world", "canada") \%>\% - group_by(group) \%>\% - plot_ly(x = ~long, y = ~lat) \%>\% - add_polygons(hoverinfo = "none") \%>\% - add_markers(text = ~paste(name, "
", pop), hoverinfo = "text", - data = maps::canada.cities) \%>\% - layout(showlegend = FALSE) -} - diff --git a/man/add_ribbons.Rd b/man/add_ribbons.Rd deleted file mode 100644 index db7ac49d19..0000000000 --- a/man/add_ribbons.Rd +++ /dev/null @@ -1,22 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/add.R -\name{add_ribbons} -\alias{add_ribbons} -\title{Add ribbons to a plotly vis} -\usage{ -add_ribbons(p, ...) - -add_ribbons(p, ...) -} -\arguments{ -\item{p}{a plotly or ggplot object.} - -\item{...}{These arguments are documented in the references section below. -Note that acceptable arguments depend on the trace type.} -} -\description{ -Ribbons are a special case of polygons. - -Ribbons are a special case of polygons. -} - diff --git a/man/add_text.Rd b/man/add_text.Rd deleted file mode 100644 index 6e6ec13e6c..0000000000 --- a/man/add_text.Rd +++ /dev/null @@ -1,18 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/add.R -\name{add_text} -\alias{add_text} -\title{Add text to a plotly vis} -\usage{ -add_text(p, text = NULL, ...) -} -\arguments{ -\item{p}{a plotly or ggplot object.} - -\item{...}{These arguments are documented in the references section below. -Note that acceptable arguments depend on the trace type.} -} -\description{ -Add text to a plotly vis -} - diff --git a/man/add_trace.Rd b/man/add_trace.Rd index 6d37f36ba5..a52d1fe74c 100644 --- a/man/add_trace.Rd +++ b/man/add_trace.Rd @@ -1,10 +1,28 @@ % Generated by roxygen2: do not edit by hand % Please edit documentation in R/add.R \name{add_trace} +\alias{add_area} +\alias{add_lines} +\alias{add_paths} +\alias{add_polygons} +\alias{add_ribbons} +\alias{add_text} \alias{add_trace} \title{Add trace(s) to a plotly visualization} \usage{ add_trace(p, ..., color, symbol, size, linetype, data = NULL) + +add_paths(p, x = NULL, y = NULL, ...) + +add_lines(p, x = NULL, y = NULL, ...) + +add_text(p, x = NULL, y = NULL, text = NULL, ...) + +add_polygons(p, x = NULL, y = NULL, ...) + +add_ribbons(p, x = NULL, ymin = NULL, ymax = NULL, ...) + +add_area(p, x = NULL, ymax = NULL, ...) } \arguments{ \item{p}{a plotly or ggplot object.} @@ -22,9 +40,31 @@ Note that acceptable arguments depend on the trace type.} \item{data}{A data frame to associate with this trace (optional). If not provided, arguments are evaluated using the data frame in \code{\link{plot_ly}()}.} + +\item{x}{the x variable.} + +\item{y}{the y variable.} + +\item{text}{textual labels.} + +\item{ymin}{a variable used to define the lower boundary of a polygon.} + +\item{ymax}{a variable used to define the upper boundary of a polygon.} } \description{ Add trace(s) to a plotly visualization + +Add paths to a plotly vis + +Equivalent to \code{add_paths}, but with the x-values sorted. + +Add text to a plotly vis + +Add polygons to a plotly vis + +Ribbon plots + +Equivalent to \link{add_ribbon} with \code{ymin} set to 0. } \examples{ @@ -40,6 +80,14 @@ plot_ly(economics, x = ~date, y = ~uempmed) \%>\% add_lines(line = list(color = "red")) + +ggplot2::map_data("world", "canada") \%>\% + group_by(group) \%>\% + plot_ly(x = ~long, y = ~lat) \%>\% + add_polygons(hoverinfo = "none") \%>\% + add_markers(text = ~paste(name, "
", pop), hoverinfo = "text", + data = maps::canada.cities) \%>\% + layout(showlegend = FALSE) } \author{ Carson Sievert diff --git a/man/plotly_data.Rd b/man/plotly_data.Rd index 7ee3388c2c..f7879f36bd 100644 --- a/man/plotly_data.Rd +++ b/man/plotly_data.Rd @@ -32,7 +32,7 @@ plotly_data(p, id = p$x$cur_data) \method{select_}{plotly}(.data, ..., .dots) -filter_.plotly(.data, ..., .dots) +\method{filter_}{plotly}(.data, ..., .dots) \method{distinct_}{plotly}(.data, ..., .dots) From 22d180a07623f186214ba77abcc169122eb9b1c8 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Tue, 21 Jun 2016 21:27:32 -0500 Subject: [PATCH 50/73] fix NAMESPACING --- NAMESPACE | 24 ++++++++++++------------ man/plotly_data.Rd | 24 ++++++++++++------------ 2 files changed, 24 insertions(+), 24 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index 3c891d969a..bb370aaf28 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,8 +1,5 @@ # Generated by roxygen2: do not edit by hand -S3method(arrange_,plotly) -S3method(distinct_,plotly) -S3method(filter_,plotly) S3method(geom2trace,GeomBar) S3method(geom2trace,GeomBlank) S3method(geom2trace,GeomBoxplot) @@ -16,19 +13,12 @@ S3method(geom2trace,GeomTile) S3method(geom2trace,default) S3method(ggplotly,ggmatrix) S3method(ggplotly,ggplot) -S3method(group_by_,plotly) -S3method(groups,plotly) S3method(layout,matrix) S3method(layout,plotly) -S3method(mutate_,plotly) S3method(plotly_build,gg) S3method(plotly_build,list) S3method(plotly_build,plotly) S3method(print,plotly_figure) -S3method(rename_,plotly) -S3method(select_,plotly) -S3method(slice_,plotly) -S3method(summarise_,plotly) S3method(to_basic,GeomAbline) S3method(to_basic,GeomArea) S3method(to_basic,GeomBoxplot) @@ -54,8 +44,6 @@ S3method(to_basic,GeomTile) S3method(to_basic,GeomViolin) S3method(to_basic,GeomVline) S3method(to_basic,default) -S3method(transmute_,plotly) -S3method(ungroup,plotly) export("%>%") export(add_data) export(add_lines) @@ -64,18 +52,24 @@ export(add_paths) export(add_polygons) export(add_text) export(add_trace) +export(arrange_.plotly) export(as.widget) export(config) +export(distinct_.plotly) export(embed_notebook) export(event_data) export(export) +export(filter_.plotly) export(geom2trace) export(get_figure) export(gg2list) export(ggplotly) export(group_by) +export(group_by_.plotly) +export(groups.plotly) export(knit_print.plotly_figure) export(layout) +export(mutate_.plotly) export(offline) export(plot_ly) export(plotly) @@ -86,14 +80,20 @@ export(plotly_build) export(plotly_data) export(plotly_empty) export(plotly_json) +export(rename_.plotly) export(renderPlotly) export(schema) +export(select_.plotly) export(signup) +export(slice_.plotly) export(style) export(subplot) +export(summarise_.plotly) export(toRGB) export(toWebGL) export(to_basic) +export(transmute_.plotly) +export(ungroup.plotly) import(ggplot2) importFrom(base64enc,base64encode) importFrom(dplyr,arrange_) diff --git a/man/plotly_data.Rd b/man/plotly_data.Rd index f7879f36bd..d45f8732ac 100644 --- a/man/plotly_data.Rd +++ b/man/plotly_data.Rd @@ -18,29 +18,29 @@ \usage{ plotly_data(p, id = p$x$cur_data) -\method{groups}{plotly}(x) +groups.plotly(x) -\method{group_by_}{plotly}(.data, ..., .dots, add = FALSE) +group_by_.plotly(.data, ..., .dots, add = FALSE) -\method{ungroup}{plotly}(x) +ungroup.plotly(x) -\method{summarise_}{plotly}(.data, ..., .dots) +summarise_.plotly(.data, ..., .dots) -\method{mutate_}{plotly}(.data, ..., .dots) +mutate_.plotly(.data, ..., .dots) -\method{arrange_}{plotly}(.data, ..., .dots) +arrange_.plotly(.data, ..., .dots) -\method{select_}{plotly}(.data, ..., .dots) +select_.plotly(.data, ..., .dots) -\method{filter_}{plotly}(.data, ..., .dots) +filter_.plotly(.data, ..., .dots) -\method{distinct_}{plotly}(.data, ..., .dots) +distinct_.plotly(.data, ..., .dots) -\method{slice_}{plotly}(.data, ..., .dots) +slice_.plotly(.data, ..., .dots) -\method{rename_}{plotly}(.data, ..., .dots) +rename_.plotly(.data, ..., .dots) -\method{transmute_}{plotly}(.data, ..., .dots) +transmute_.plotly(.data, ..., .dots) } \description{ \code{plotly_data()} returns the data associated with From 0ed22718f029f2949c803d733cf6197834976fa4 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Tue, 21 Jun 2016 21:36:50 -0500 Subject: [PATCH 51/73] you have to pass the arguments through silly --- R/add.R | 97 +++++++++++++++++++++++++--------------------- man/add_markers.Rd | 18 --------- man/add_trace.Rd | 13 +++++-- 3 files changed, 62 insertions(+), 66 deletions(-) delete mode 100644 man/add_markers.Rd diff --git a/R/add.R b/R/add.R index 00a85a747f..0713de4709 100644 --- a/R/add.R +++ b/R/add.R @@ -82,20 +82,19 @@ add_trace <- function(p, ..., p } -# attach a class to a trace which informs data processing in plotly_build -add_trace_classed <- function(p, class = "plotly_polygon", ...) { - p <- add_trace(p, ...) - nAttrs <- length(p$x$attrs) - p$x$attrs[[nAttrs]] <- prefix_class(p$x$attrs[[nAttrs]], class) - p -} - #' Add points to a plotly vis #' #' @inheritParams add_trace +#' @rdname add_trace #' @export -add_markers <- function(p, ...) { - add_trace(p, type = "scatter", mode = "markers", ...) +add_markers <- function(p, x = NULL, y = NULL, ...) { + if (is.null(x <- x %||% p$x$attrs[[1]]$x)) { + stop("Must supply `x` attribute", call. = FALSE) + } + if (is.null(y <- y %||% p$x$attrs[[1]]$y)) { + stop("Must supply `y` attribute", call. = FALSE) + } + add_trace(p, x = x, y = y, type = "scatter", mode = "markers", ...) } #' Add paths to a plotly vis @@ -104,50 +103,50 @@ add_markers <- function(p, ...) { #' @rdname add_trace #' @export add_paths <- function(p, x = NULL, y = NULL, ...) { - if (is.null(x %||% p$x$attrs[[1]]$x)) { + if (is.null(x <- x %||% p$x$attrs[[1]]$x)) { stop("Must supply `x` attribute", call. = FALSE) } - if (is.null(y %||% p$x$attrs[[1]]$y)) { + if (is.null(y <- y %||% p$x$attrs[[1]]$y)) { stop("Must supply `y` attribute", call. = FALSE) } - add_trace(p, type = "scatter", mode = "lines", ...) + add_trace(p, x = x, y = y, type = "scatter", mode = "lines", ...) } -#' Add lines to a plotly vis -#' -#' Equivalent to \code{add_paths}, but with the x-values sorted. +#' Add text to a plotly vis #' #' @inheritParams add_trace #' @rdname add_trace #' @export -add_lines <- function(p, x = NULL, y = NULL, ...) { - if (is.null(x %||% p$x$attrs[[1]]$x)) { +add_text <- function(p, x = NULL, y = NULL, text = NULL, ...) { + if (is.null(x <- x %||% p$x$attrs[[1]]$x)) { stop("Must supply `x` attribute", call. = FALSE) } - if (is.null(y %||% p$x$attrs[[1]]$y)) { + if (is.null(y <- y %||% p$x$attrs[[1]]$y)) { stop("Must supply `y` attribute", call. = FALSE) } - add_trace_classed( - p, class = "plotly_line", type = "scatter", mode = "lines", ... - ) + if (is.null(text <- text %||% p$x$attrs[[1]]$text)) { + stop("Must supply `text` attribute", call. = FALSE) + } + add_trace(p, x = x, y = y, text = text, type = "scatter", mode = "text", ...) } -#' Add text to a plotly vis +#' Add lines to a plotly vis +#' +#' Equivalent to \code{add_paths}, but with the x-values sorted. #' #' @inheritParams add_trace #' @rdname add_trace #' @export -add_text <- function(p, x = NULL, y = NULL, text = NULL, ...) { - if (is.null(x %||% p$x$attrs[[1]]$x)) { +add_lines <- function(p, x = NULL, y = NULL, ...) { + if (is.null(x <- x %||% p$x$attrs[[1]]$x)) { stop("Must supply `x` attribute", call. = FALSE) } - if (is.null(y %||% p$x$attrs[[1]]$y)) { + if (is.null(y <- y %||% p$x$attrs[[1]]$y)) { stop("Must supply `y` attribute", call. = FALSE) } - if (is.null(text %||% p$x$attrs[[1]]$text)) { - stop("Must supply `text` attribute", call. = FALSE) - } - add_trace(p, type = "scatter", mode = "text", text = text, ...) + add_trace_classed( + p, x = x, y = y, class = "plotly_line", type = "scatter", mode = "lines", ... + ) } #' Add polygons to a plotly vis @@ -165,15 +164,15 @@ add_text <- function(p, x = NULL, y = NULL, text = NULL, ...) { #' data = maps::canada.cities) %>% #' layout(showlegend = FALSE) add_polygons <- function(p, x = NULL, y = NULL, ...) { - if (is.null(x %||% p$x$attrs[[1]]$x)) { + if (is.null(x <- x %||% p$x$attrs[[1]]$x)) { stop("Must supply `x` attribute", call. = FALSE) } - if (is.null(y %||% p$x$attrs[[1]]$y)) { + if (is.null(y <- y %||% p$x$attrs[[1]]$y)) { stop("Must supply `y` attribute", call. = FALSE) } add_trace_classed( - p, class = "plotly_polygon", type = "scatter", - fill = "toself", mode = "lines", ... + p, class = "plotly_polygon", x = x, y = y, + type = "scatter", fill = "toself", mode = "lines", ... ) } @@ -185,20 +184,21 @@ add_polygons <- function(p, x = NULL, y = NULL, ...) { #' #' plot_ly(economics, x = ~date) %>% #' add_ribbons(ymin = ~pce - 1e3, ymax = ~pce + 1e3) -#' + add_ribbons <- function(p, x = NULL, ymin = NULL, ymax = NULL, ...) { - if (is.null(x %||% p$x$attrs[[1]]$x)) { + if (is.null(x <- x %||% p$x$attrs[[1]]$x)) { stop("Must supply `x` attribute", call. = FALSE) } - if (is.null(ymin %||% p$x$attrs[[1]]$ymin)) { + if (is.null(ymin <- ymin %||% p$x$attrs[[1]]$ymin)) { stop("Must supply `ymin` attribute", call. = FALSE) } - if (is.null(ymax %||% p$x$attrs[[1]]$ymax)) { + if (is.null(ymax <- ymax %||% p$x$attrs[[1]]$ymax)) { stop("Must supply `ymax` attribute", call. = FALSE) } add_trace_classed( - p, class = c("plotly_ribbon", "plotly_polygon"), type = "scatter", - fill = "toself", mode = "lines", ... + p, class = c("plotly_ribbon", "plotly_polygon"), + x = x, ymin = ymin, ymax = ymax, + type = "scatter", fill = "toself", mode = "lines", ... ) } @@ -214,18 +214,27 @@ add_ribbons <- function(p, x = NULL, ymin = NULL, ymax = NULL, ...) { #' plot_ly(huron, x = ~year, ymax = ~level) %>% add_area() #' add_area <- function(p, x = NULL, ymax = NULL, ...) { - if (is.null(x %||% p$x$attrs[[1]]$x)) { + if (is.null(x <- x %||% p$x$attrs[[1]]$x)) { stop("Must supply `x` attribute", call. = FALSE) } - if (is.null(ymax %||% p$x$attrs[[1]]$ymax)) { + if (is.null(ymax <- ymax %||% p$x$attrs[[1]]$ymax)) { stop("Must supply `ymax` attribute", call. = FALSE) } add_trace_classed( - p, class = c("plotly_area", "plotly_ribbon", "plotly_polygon"), type = "scatter", - fill = "toself", mode = "lines", ... + p, class = c("plotly_area", "plotly_ribbon", "plotly_polygon"), + x = x, ymax = ymax, + type = "scatter", fill = "toself", mode = "lines", ... ) } +# attach a class to a trace which informs data processing in plotly_build +add_trace_classed <- function(p, class = "plotly_polygon", ...) { + p <- add_trace(p, ...) + nAttrs <- length(p$x$attrs) + p$x$attrs[[nAttrs]] <- prefix_class(p$x$attrs[[nAttrs]], class) + p +} + # #' # #' diff --git a/man/add_markers.Rd b/man/add_markers.Rd deleted file mode 100644 index 0154c7bcff..0000000000 --- a/man/add_markers.Rd +++ /dev/null @@ -1,18 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/add.R -\name{add_markers} -\alias{add_markers} -\title{Add points to a plotly vis} -\usage{ -add_markers(p, ...) -} -\arguments{ -\item{p}{a plotly or ggplot object.} - -\item{...}{These arguments are documented in the references section below. -Note that acceptable arguments depend on the trace type.} -} -\description{ -Add points to a plotly vis -} - diff --git a/man/add_trace.Rd b/man/add_trace.Rd index a52d1fe74c..1ab2177551 100644 --- a/man/add_trace.Rd +++ b/man/add_trace.Rd @@ -3,6 +3,7 @@ \name{add_trace} \alias{add_area} \alias{add_lines} +\alias{add_markers} \alias{add_paths} \alias{add_polygons} \alias{add_ribbons} @@ -12,12 +13,14 @@ \usage{ add_trace(p, ..., color, symbol, size, linetype, data = NULL) -add_paths(p, x = NULL, y = NULL, ...) +add_markers(p, x = NULL, y = NULL, ...) -add_lines(p, x = NULL, y = NULL, ...) +add_paths(p, x = NULL, y = NULL, ...) add_text(p, x = NULL, y = NULL, text = NULL, ...) +add_lines(p, x = NULL, y = NULL, ...) + add_polygons(p, x = NULL, y = NULL, ...) add_ribbons(p, x = NULL, ymin = NULL, ymax = NULL, ...) @@ -54,12 +57,14 @@ provided, arguments are evaluated using the data frame in \code{\link{plot_ly}() \description{ Add trace(s) to a plotly visualization -Add paths to a plotly vis +Add points to a plotly vis -Equivalent to \code{add_paths}, but with the x-values sorted. +Add paths to a plotly vis Add text to a plotly vis +Equivalent to \code{add_paths}, but with the x-values sorted. + Add polygons to a plotly vis Ribbon plots From 7a1254e2ddc89a2030c80ed2e5eec1946d39720f Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Tue, 21 Jun 2016 22:57:07 -0500 Subject: [PATCH 52/73] add add_segments() --- NAMESPACE | 1 + R/add.R | 63 +++++++++++++++++++++++++++++++++--------------- R/plotly_build.R | 34 ++++++++++++++++---------- man/add_trace.Rd | 9 ++++--- 4 files changed, 70 insertions(+), 37 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index bb370aaf28..b7f229dc86 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -50,6 +50,7 @@ export(add_lines) export(add_markers) export(add_paths) export(add_polygons) +export(add_segments) export(add_text) export(add_trace) export(arrange_.plotly) diff --git a/R/add.R b/R/add.R index 0713de4709..64a35825a6 100644 --- a/R/add.R +++ b/R/add.R @@ -50,9 +50,9 @@ add_data <- function(p, data = NULL) { #' #' # attributes declared in plot_ly() carry over to downstream traces #' plot_ly(economics, x = ~date, y = ~uempmed) %>% +#' add_lines(line = list(color = "red")) %>% #' add_markers(color = ~pop) %>% -#' add_lines(line = list(color = "red")) -#' +#' layout(showlegend = FALSE) #' add_trace <- function(p, ..., color, symbol, size, linetype, data = NULL) { @@ -88,10 +88,10 @@ add_trace <- function(p, ..., #' @rdname add_trace #' @export add_markers <- function(p, x = NULL, y = NULL, ...) { - if (is.null(x <- x %||% p$x$attrs[[1]]$x)) { + if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { stop("Must supply `x` attribute", call. = FALSE) } - if (is.null(y <- y %||% p$x$attrs[[1]]$y)) { + if (is.null(y <- y %||% p$x$attrs[[1]][["y"]])) { stop("Must supply `y` attribute", call. = FALSE) } add_trace(p, x = x, y = y, type = "scatter", mode = "markers", ...) @@ -103,10 +103,10 @@ add_markers <- function(p, x = NULL, y = NULL, ...) { #' @rdname add_trace #' @export add_paths <- function(p, x = NULL, y = NULL, ...) { - if (is.null(x <- x %||% p$x$attrs[[1]]$x)) { + if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { stop("Must supply `x` attribute", call. = FALSE) } - if (is.null(y <- y %||% p$x$attrs[[1]]$y)) { + if (is.null(y <- y %||% p$x$attrs[[1]][["y"]])) { stop("Must supply `y` attribute", call. = FALSE) } add_trace(p, x = x, y = y, type = "scatter", mode = "lines", ...) @@ -118,13 +118,13 @@ add_paths <- function(p, x = NULL, y = NULL, ...) { #' @rdname add_trace #' @export add_text <- function(p, x = NULL, y = NULL, text = NULL, ...) { - if (is.null(x <- x %||% p$x$attrs[[1]]$x)) { + if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { stop("Must supply `x` attribute", call. = FALSE) } - if (is.null(y <- y %||% p$x$attrs[[1]]$y)) { + if (is.null(y <- y %||% p$x$attrs[[1]][["y"]])) { stop("Must supply `y` attribute", call. = FALSE) } - if (is.null(text <- text %||% p$x$attrs[[1]]$text)) { + if (is.null(text <- text %||% p$x$attrs[[1]][["text"]])) { stop("Must supply `text` attribute", call. = FALSE) } add_trace(p, x = x, y = y, text = text, type = "scatter", mode = "text", ...) @@ -138,10 +138,10 @@ add_text <- function(p, x = NULL, y = NULL, text = NULL, ...) { #' @rdname add_trace #' @export add_lines <- function(p, x = NULL, y = NULL, ...) { - if (is.null(x <- x %||% p$x$attrs[[1]]$x)) { + if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { stop("Must supply `x` attribute", call. = FALSE) } - if (is.null(y <- y %||% p$x$attrs[[1]]$y)) { + if (is.null(y <- y %||% p$x$attrs[[1]][["y"]])) { stop("Must supply `y` attribute", call. = FALSE) } add_trace_classed( @@ -149,11 +149,34 @@ add_lines <- function(p, x = NULL, y = NULL, ...) { ) } -#' Add polygons to a plotly vis -#' + #' @inheritParams add_trace +#' @rdname add_trace #' @export +#' +add_segments <- function(p, x = NULL, y = NULL, xend = NULL, yend = NULL, ...) { + if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { + stop("Must supply `x` attribute", call. = FALSE) + } + if (is.null(y <- y %||% p$x$attrs[[1]][["y"]])) { + stop("Must supply `y` attribute", call. = FALSE) + } + if (is.null(xend <- xend %||% p$x$attrs[[1]][["xend"]])) { + stop("Must supply `xend` attribute", call. = FALSE) + } + if (is.null(yend <- yend %||% p$x$attrs[[1]][["yend"]])) { + stop("Must supply `yend` attribute", call. = FALSE) + } + add_trace_classed( + p, x = x, y = y, xend = xend, yend = yend, + class = "plotly_segment", type = "scatter", mode = "lines", ... + ) +} + + +#' @inheritParams add_trace #' @rdname add_trace +#' @export #' @examples #' #' ggplot2::map_data("world", "canada") %>% @@ -164,10 +187,10 @@ add_lines <- function(p, x = NULL, y = NULL, ...) { #' data = maps::canada.cities) %>% #' layout(showlegend = FALSE) add_polygons <- function(p, x = NULL, y = NULL, ...) { - if (is.null(x <- x %||% p$x$attrs[[1]]$x)) { + if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { stop("Must supply `x` attribute", call. = FALSE) } - if (is.null(y <- y %||% p$x$attrs[[1]]$y)) { + if (is.null(y <- y %||% p$x$attrs[[1]][["y"]])) { stop("Must supply `y` attribute", call. = FALSE) } add_trace_classed( @@ -186,13 +209,13 @@ add_polygons <- function(p, x = NULL, y = NULL, ...) { #' add_ribbons(ymin = ~pce - 1e3, ymax = ~pce + 1e3) add_ribbons <- function(p, x = NULL, ymin = NULL, ymax = NULL, ...) { - if (is.null(x <- x %||% p$x$attrs[[1]]$x)) { + if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { stop("Must supply `x` attribute", call. = FALSE) } - if (is.null(ymin <- ymin %||% p$x$attrs[[1]]$ymin)) { + if (is.null(ymin <- ymin %||% p$x$attrs[[1]][["ymin"]])) { stop("Must supply `ymin` attribute", call. = FALSE) } - if (is.null(ymax <- ymax %||% p$x$attrs[[1]]$ymax)) { + if (is.null(ymax <- ymax %||% p$x$attrs[[1]][["ymax"]])) { stop("Must supply `ymax` attribute", call. = FALSE) } add_trace_classed( @@ -214,10 +237,10 @@ add_ribbons <- function(p, x = NULL, ymin = NULL, ymax = NULL, ...) { #' plot_ly(huron, x = ~year, ymax = ~level) %>% add_area() #' add_area <- function(p, x = NULL, ymax = NULL, ...) { - if (is.null(x <- x %||% p$x$attrs[[1]]$x)) { + if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { stop("Must supply `x` attribute", call. = FALSE) } - if (is.null(ymax <- ymax %||% p$x$attrs[[1]]$ymax)) { + if (is.null(ymax <- ymax %||% p$x$attrs[[1]][["ymax"]])) { stop("Must supply `ymax` attribute", call. = FALSE) } add_trace_classed( diff --git a/R/plotly_build.R b/R/plotly_build.R index 2967771076..a5b963d339 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -82,14 +82,14 @@ plotly_build.plotly <- function(p) { builtData <- data.frame(x[isVar & !names(x) %in% c("colors", "symbols", "linetypes")]) builtData <- train_data(builtData, x) # TODO: provide a better way to clean up "high-level" attrs - x[c("ymin", "ymax")] <- NULL + x[c("ymin", "ymax", "yend", "xend")] <- NULL x$.plotlyVariableMapping <- names(builtData) # find any groupings, so we can arrange the data now, # and insert missing values (to create gaps between traces) later - grps <- as.character(dplyr::groups(dat)) + grps <- as.character(dplyr::groups(builtData)) # does grouping even make sense for this trace type? - hasGrp <- inherits(x, c("plotly_lines", "plotly_polygon")) || + hasGrp <- inherits(x, c("plotly_segment", "plotly_line", "plotly_polygon")) || (grepl("scatter", x$type) && grepl("lines", x$mode %||% "lines")) if (length(grps) && hasGrp) { if (isTRUE(x$connectgaps)) { @@ -98,18 +98,15 @@ plotly_build.plotly <- function(p) { call. = FALSE ) } - builtData$group <- interaction(dat[, grps, drop = FALSE]) + builtData$group <- interaction(builtData[, grps, drop = FALSE]) } # build the index used to transform one "trace" into multiple traces - discreteMappings <- list() - for (i in c("symbol", "linetype", "color")) { - if (is.null(x[[i]]) || i == "color" && !is.discrete(x[[i]])) next - discreteMappings[[i]] <- x[[i]] - } - if (!is.null(names(discreteMappings))) { - paste_it <- function(...) paste(..., sep = "
") - builtData$.plotlyTraceIndex <- do.call(paste_it, discreteMappings) + discreteData <- builtData[vapply(builtData, is.discrete, logical(1))] + discreteData <- discreteData[names(discreteData) %in% c("symbol", "linetype", "color")] + if (NCOL(discreteData) > 0) { + paste2 <- function(x, y) paste(x, y, sep = "
") + builtData$.plotlyTraceIndex <- Reduce(paste2, discreteData) } # arrange the built data arrangeVars <- c( @@ -157,7 +154,7 @@ plotly_build.plotly <- function(p) { # IMPORTANT: scales are applied at the plot-level!! colorTitle <- unlist(lapply(p$x$attrs, function(x) { col <- x[["color"]] %||% x[["z"]] - if (is.language(col)) sub("^~", "", deparse2(col)) else "" + if (is.language(col)) sub("^~", "", deparse2(col)) else NULL })) traces <- map_color(traces, title = paste(colorTitle, collapse = "
")) traces <- map_size(traces) @@ -224,6 +221,17 @@ train_data <- function(data, trace) { if (inherits(trace, "plotly_ribbon")) { data <- ribbon_dat(data) } + if (inherits(trace, "plotly_segment")) { + # TODO: this could be faster, more efficient + data$.plotlyGroupIndex <- seq_len(NROW(data)) + data <- gather_( + gather_(data, "tmp", "x", c("x", "xend")), + "tmp", "y", c("y", "yend") + ) + data <- dplyr::arrange_(data[!names(data) %in% "tmp"], ".plotlyGroupIndex") + data <- dplyr::distinct(data) + data <- dplyr::group_by_(data, ".plotlyGroupIndex", add = TRUE) + } # TODO: a lot more geoms!!! data } diff --git a/man/add_trace.Rd b/man/add_trace.Rd index 1ab2177551..fd682fa3cf 100644 --- a/man/add_trace.Rd +++ b/man/add_trace.Rd @@ -7,6 +7,7 @@ \alias{add_paths} \alias{add_polygons} \alias{add_ribbons} +\alias{add_segments} \alias{add_text} \alias{add_trace} \title{Add trace(s) to a plotly visualization} @@ -21,6 +22,8 @@ add_text(p, x = NULL, y = NULL, text = NULL, ...) add_lines(p, x = NULL, y = NULL, ...) +add_segments(p, x = NULL, y = NULL, xend = NULL, yend = NULL, ...) + add_polygons(p, x = NULL, y = NULL, ...) add_ribbons(p, x = NULL, ymin = NULL, ymax = NULL, ...) @@ -65,8 +68,6 @@ Add text to a plotly vis Equivalent to \code{add_paths}, but with the x-values sorted. -Add polygons to a plotly vis - Ribbon plots Equivalent to \link{add_ribbon} with \code{ymin} set to 0. @@ -81,9 +82,9 @@ p \%>\% add_text(text = ".") # attributes declared in plot_ly() carry over to downstream traces plot_ly(economics, x = ~date, y = ~uempmed) \%>\% + add_lines(line = list(color = "red")) \%>\% add_markers(color = ~pop) \%>\% - add_lines(line = list(color = "red")) - + layout(showlegend = FALSE) ggplot2::map_data("world", "canada") \%>\% From 86c41f79ef63021ab355093fc15d44612537760f Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Tue, 21 Jun 2016 23:18:07 -0500 Subject: [PATCH 53/73] improve toWebGl implementation; safer group var naming --- R/helpers.R | 17 ++--------------- R/plotly_build.R | 10 ++++++---- R/utils.R | 19 +++++++++++++++++++ 3 files changed, 27 insertions(+), 19 deletions(-) diff --git a/R/helpers.R b/R/helpers.R index 95fa842d21..a954596a48 100644 --- a/R/helpers.R +++ b/R/helpers.R @@ -23,8 +23,6 @@ hide_colorbar <- function(p) { #' Convert trace types to WebGL #' #' @param p a plotly or ggplot object. -#' @param warn should a warning be produced if the trace type doesn't have -#' a WebGL equivalent? #' @export #' @examples #' @@ -32,19 +30,8 @@ hide_colorbar <- function(p) { #' toWebGL(qplot(1:10)) #' toWebGL(qplot(1:10, 1:10)) #' -toWebGL <- function(p, warn = TRUE) { - p <- plotly_build(p) - types <- sapply(p$x$data, function(x) x[["type"]][1] %||% "scatter") - idx <- paste0(types, "gl") %in% names(Schema$traces) - if (any(!idx) && warn) { - warning( - "The following traces don't have a WebGL equivalent: ", - paste(which(!idx), collapse = ", ") - ) - } - for (i in which(idx)) { - p$x$data[[i]]$type <- paste0(p$x$data[[i]]$type, "gl") - } +toWebGL <- function(p) { + p$x$.plotlyWebGl <- TRUE p } diff --git a/R/plotly_build.R b/R/plotly_build.R index a5b963d339..8cdc4dd5fd 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -98,7 +98,7 @@ plotly_build.plotly <- function(p) { call. = FALSE ) } - builtData$group <- interaction(builtData[, grps, drop = FALSE]) + builtData$.plotlyGroupIndex <- interaction(builtData[, grps, drop = FALSE]) } # build the index used to transform one "trace" into multiple traces @@ -142,8 +142,8 @@ plotly_build.plotly <- function(p) { # insert NAs to differentiate groups traces <- lapply(traces, function(x) { - d <- data.frame(x[names(x) %in% c(x$.plotlyVariableMapping, "group")]) - d <- group2NA(d, retrace.first = inherits(x, "plotly_polygon")) + d <- data.frame(x[names(x) %in% c(x$.plotlyVariableMapping)]) + d <- group2NA(d, ".plotlyGroupIndex", retrace.first = inherits(x, "plotly_polygon")) for (i in x$.plotlyVariableMapping) { x[[i]] <- uniq(d[[i]]) } @@ -166,7 +166,7 @@ plotly_build.plotly <- function(p) { mappingAttrs <- c( "color", "colors", "symbol", "symbols", "linetype", "linetypes", "size", "sizes", - "group", ".plotlyTraceIndex", ".plotlyVariableMapping" + ".plotlyGroupIndex", ".plotlyTraceIndex", ".plotlyVariableMapping" ) for (j in mappingAttrs) { traces[[i]][[j]] <- NULL @@ -208,6 +208,8 @@ plotly_build.plotly <- function(p) { p <- verify_arrays(p) # set a sensible hovermode if it hasn't been specified already p <- verify_hovermode(p) + # try to convert to webgl if toWebGl was used + verify_webgl(p) } # ---------------------------------------------------------------- diff --git a/R/utils.R b/R/utils.R index 59f0ce8c85..054fc1ce14 100644 --- a/R/utils.R +++ b/R/utils.R @@ -227,6 +227,25 @@ verify_hovermode <- function(p) { p } +verify_webgl <- function(p) { + # see toWebGL + if (!isTRUE(p$x$.plotlyWebGl)) { + return(p) + } + types <- sapply(p$x$data, function(x) x[["type"]][1] %||% "scatter") + idx <- paste0(types, "gl") %in% names(Schema$traces) + if (any(!idx)) { + warning( + "The following traces don't have a WebGL equivalent: ", + paste(which(!idx), collapse = ", ") + ) + } + for (i in which(idx)) { + p$x$data[[i]]$type <- paste0(p$x$data[[i]]$type, "gl") + } + p +} + has_marker <- function(types, modes) { is_scatter <- grepl("scatter", types) ifelse(is_scatter, grepl("marker", modes), has_attr(types, "marker")) From abc39dd4f7d61558fdf59420011b244ba92bd0e6 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Wed, 22 Jun 2016 11:01:51 -0500 Subject: [PATCH 54/73] deprecate as.widget --- R/deprecated.R | 19 +++++ R/ggplotly.R | 2 +- R/helpers.R | 16 ++++ R/plotly.R | 35 ++++++--- R/plotly_build.R | 2 +- R/print.R | 34 +-------- R/process.R | 2 +- R/shiny.R | 2 + R/subplots.R | 2 +- inst/arguments.R | 180 -------------------------------------------- man/as.widget.Rd | 7 +- man/plotly_empty.Rd | 2 +- man/toWebGL.Rd | 5 +- 13 files changed, 71 insertions(+), 237 deletions(-) delete mode 100644 inst/arguments.R diff --git a/R/deprecated.R b/R/deprecated.R index fb42000b79..ca76472a0a 100644 --- a/R/deprecated.R +++ b/R/deprecated.R @@ -47,3 +47,22 @@ offline <- function(p, height, width, out_dir, open_browser) { .Deprecated("plot_ly") p } + + +#' Convert a plotly object to an htmlwidget object +#' +#' This function was deprecated in 4.0.0, +#' as plotly objects are now htmlwidget objects, +#' so there is no need to convert them. +#' +#' @param x a plotly object. +#' @param ... other options passed onto \code{htmlwidgets::createWidget} +#' @export + +as.widget <- function(x, ...) { + .Deprecated("plot_ly") + x +} + +# for legacy reasons +toWidget <- as.widget diff --git a/R/ggplotly.R b/R/ggplotly.R index 06e898e9b3..df22cca590 100644 --- a/R/ggplotly.R +++ b/R/ggplotly.R @@ -73,7 +73,7 @@ ggplotly.ggmatrix <- function(p = ggplot2::last_plot(), width = NULL, ggplotly.ggplot <- function(p = ggplot2::last_plot(), width = NULL, height = NULL, tooltip = "all", source = "A", ...) { l <- gg2list(p, width = width, height = height, tooltip = tooltip, source = source, ...) - as.widget(l) + as_widget(l) } #' Convert a ggplot to a list. diff --git a/R/helpers.R b/R/helpers.R index a954596a48..10d24d7565 100644 --- a/R/helpers.R +++ b/R/helpers.R @@ -35,3 +35,19 @@ toWebGL <- function(p) { p } + +#' Create a complete empty plotly graph. +#' +#' Useful when used with \link{subplot} +#' +#' @export +plotly_empty <- function(...) { + eaxis <- list( + showticklabels = FALSE, + showgrid = FALSE, + zeroline = FALSE + ) + layout(plot_ly(...), xaxis = eaxis, yaxis = eaxis) +} + + diff --git a/R/plotly.R b/R/plotly.R index bf7d825682..f3264c81b4 100644 --- a/R/plotly.R +++ b/R/plotly.R @@ -121,20 +121,31 @@ plot_ly <- function(data = data.frame(), ..., type = NULL, group, base_url = get_domain() ) - as.widget(p) + as_widget(p) } -#' Create a complete empty plotly graph. -#' -#' Useful when used with \link{subplot} -#' -#' @export -plotly_empty <- function(...) { - eaxis <- list( - showticklabels = FALSE, - showgrid = FALSE, - zeroline = FALSE +# Convert a list to a plotly htmlwidget object +# +# @param x a plotly object. +# @param ... other options passed onto \code{htmlwidgets::createWidget} +# + +as_widget <- function(x, ...) { + if (inherits(x, "htmlwidget")) return(x) + # add plotly class mainly for printing method + # customize the JSON serializer (for htmlwidgets) + attr(x, 'TOJSON_FUNC') <- to_JSON + htmlwidgets::createWidget( + name = "plotly", + x = x, + width = x$layout$width, + height = x$layout$height, + sizingPolicy = htmlwidgets::sizingPolicy( + browser.fill = TRUE, + defaultWidth = '100%', + defaultHeight = 400 + ), + preRenderHook = plotly_build ) - layout(plot_ly(...), xaxis = eaxis, yaxis = eaxis) } diff --git a/R/plotly_build.R b/R/plotly_build.R index 8cdc4dd5fd..907db4d94d 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -21,7 +21,7 @@ plotly_build <- function(p) { #' @export plotly_build.list <- function(p) { - as.widget(p) + as_widget(p) } #' @export diff --git a/R/print.R b/R/print.R index 8a7725fda6..11031638ab 100644 --- a/R/print.R +++ b/R/print.R @@ -1,35 +1,3 @@ -#' Convert a plotly object to an htmlwidget object -#' -#' As of version 4.0.0, plotly objects are now htmlwidget objects, -#' so users shouldn't have to use this function directly. -#' -#' @param x a plotly object. -#' @param ... other options passed onto \code{htmlwidgets::createWidget} -#' @export -#' - -as.widget <- function(x, ...) { - if (inherits(x, "htmlwidget")) return(x) - # add plotly class mainly for printing method - # customize the JSON serializer (for htmlwidgets) - attr(x, 'TOJSON_FUNC') <- to_JSON - htmlwidgets::createWidget( - name = "plotly", - x = x, - width = x$layout$width, - height = x$layout$height, - sizingPolicy = htmlwidgets::sizingPolicy( - browser.fill = TRUE, - defaultWidth = '100%', - defaultHeight = 400 - ), - preRenderHook = plotly_build - ) -} - -# for legacy reasons -toWidget <- as.widget - #' Print a plotly figure object #' #' @param x a plotly figure object @@ -79,7 +47,7 @@ embed_notebook <- function(x, width = NULL, height = NULL, if (!dir.exists(dir)) dir.create(dir, recursive = TRUE) owd <- setwd(dir) on.exit(setwd(owd), add = TRUE) - htmlwidgets::saveWidget(as.widget(l), file = basename(file)) + htmlwidgets::saveWidget(l, file = basename(file)) file } else { l$url diff --git a/R/process.R b/R/process.R index 73a11e3a4a..cb6515b265 100644 --- a/R/process.R +++ b/R/process.R @@ -33,7 +33,7 @@ process.plotly_figure <- function(resp) { con$url <- sub("^http[s]?:", "https:", con$url) fig <- verify_boxed(fig) fig$data <- lapply(fig$data, verify_type) - as.widget(fig) + as_widget(fig) } process.signup <- function(resp) { diff --git a/R/shiny.R b/R/shiny.R index 3bcebf19c4..ca02268f42 100644 --- a/R/shiny.R +++ b/R/shiny.R @@ -25,6 +25,8 @@ plotlyOutput <- function(outputId, width = "100%", height = "400px") { #' @export renderPlotly <- function(expr, env = parent.frame(), quoted = FALSE) { if (!quoted) { expr <- substitute(expr) } # force quoted + # https://github.com/ramnathv/htmlwidgets/issues/166#issuecomment-153000306 + expr <- call("plotly_build", expr) shinyRenderWidget(expr, plotlyOutput, env, quoted = TRUE) } diff --git a/R/subplots.R b/R/subplots.R index bf81364189..d14bfe0ca6 100644 --- a/R/subplots.R +++ b/R/subplots.R @@ -236,7 +236,7 @@ subplot <- function(..., nrows = 1, widths = NULL, heights = NULL, margin = 0.02 layouts <- layouts[which_layout] } p$layout <- c(p$layout, Reduce(modify_list, layouts)) - as.widget(p) + as_widget(p) } diff --git a/inst/arguments.R b/inst/arguments.R deleted file mode 100644 index 2df5e5340a..0000000000 --- a/inst/arguments.R +++ /dev/null @@ -1,180 +0,0 @@ -# This script grabs argument names from plotly documentation and provides some -# convenience functions for translating all those arguments to the R package - -library(rvest) -ref <- read_html("https://plot.ly/javascript-graphing-library/reference") -# complete set of args -argz <- ref %>% html_nodes(".gamma .link--impt") %>% html_text() %>% - gsub("\\n", "", .) %>% stringr::str_trim() - - -# function arguments -fun_args <- function(x) paste(x, "= NULL", collapse = ", ") -# argument documentation (put inside @param) -doc_args <- function(x) paste(x, collapse = ", ") -# put inside function body -in_args <- function(x) paste(x, "=", x, collapse = ", ") - -# scatter args -fun_args(argz[1:24]) -doc_args(argz[1:24]) -in_args(argz[1:24]) - -# bar args -fun_args(argz[26:43]) -doc_args(argz[26:43]) -in_args(argz[26:43]) - -# histogram args -fun_args(argz[45:68]) -doc_args(argz[45:68]) -in_args(argz[45:68]) - -# box args -fun_args(argz[70:89]) -doc_args(argz[70:89]) -in_args(argz[70:89]) - -# heatmap args -fun_args(argz[91:116]) -doc_args(argz[91:116]) -in_args(argz[91:116]) - -# contour args -fun_args(argz[118:145]) -doc_args(argz[118:145]) -in_args(argz[118:145]) - -# histogram2d args -fun_args(argz[147:173]) -doc_args(argz[147:173]) -in_args(argz[147:173]) - -# histogram2dcontour args -fun_args(argz[175:204]) -doc_args(argz[175:204]) -in_args(argz[175:204]) - -# area args -fun_args(argz[206:214]) -doc_args(argz[206:214]) -in_args(argz[206:214]) - -# scatter3d args -fun_args(argz[216:230]) -doc_args(argz[216:230]) -in_args(argz[216:230]) - -# surface args -fun_args(argz[232:240]) -doc_args(argz[232:240]) -in_args(argz[232:240]) - -# ---------------------------------------------------------------------- -# Trace auxiliary objects (in R/aux.R) -# ---------------------------------------------------------------------- - -# error_y args -fun_args(argz[241:251]) -doc_args(argz[241:251]) -in_args(argz[241:251]) - -# error_x args -fun_args(argz[252:263]) -doc_args(argz[252:263]) -in_args(argz[252:263]) - -# xbins args -fun_args(argz[264:266]) -doc_args(argz[264:266]) -in_args(argz[264:266]) - -# ybins args -fun_args(argz[267:269]) -doc_args(argz[267:269]) -in_args(argz[267:269]) - -# marker args -fun_args(argz[270:282]) -doc_args(argz[270:282]) -in_args(argz[270:282]) - -# line args -fun_args(argz[283:290]) -doc_args(argz[283:290]) -in_args(argz[283:290]) - -# contour args -fun_args(argz[291:295]) -doc_args(argz[291:295]) -in_args(argz[291:295]) - -# colorbar args -fun_args(argz[296:326]) -doc_args(argz[296:326]) -in_args(argz[296:326]) - -# stream args -fun_args(argz[327:328]) -doc_args(argz[327:328]) -in_args(argz[327:328]) - -# error_z args -fun_args(argz[329:339]) -doc_args(argz[329:339]) -in_args(argz[329:339]) - -# ---------------------------------------------------------------------- -# Axis objects (in R/axis.R) -# ---------------------------------------------------------------------- - -# xaxis/yaxis/zaxis args are identical -x <- fun_args(argz[340:378]) -y <- fun_args(argz[379:417]) -z <- fun_args(argz[444:482]) -identical(x, y) && identical(y, z) - -x -doc_args(argz[340:378]) -in_args(argz[340:378]) - - -# radialaxis/angularaxis args -fun_args(argz[418:437]) -doc_args(argz[418:437]) -in_args(argz[418:437]) - -# scene args -fun_args(argz[438:443]) -doc_args(argz[438:443]) -in_args(argz[438:443]) - - -# ---------------------------------------------------------------------- -# Layout objects (in R/layout.R) -# ---------------------------------------------------------------------- - -# layout args -fun_args(argz[483:512]) -doc_args(argz[483:512]) -in_args(argz[483:512]) - -# font args -fun_args(argz[513:516]) -doc_args(argz[513:516]) -in_args(argz[513:516]) - -# legend args -fun_args(argz[517:527]) -doc_args(argz[517:527]) -in_args(argz[517:527]) - -# annotation args -fun_args(argz[528:549]) -doc_args(argz[528:549]) -in_args(argz[528:549]) - -# margin args -fun_args(argz[550:557]) -doc_args(argz[550:557]) -in_args(argz[550:557]) diff --git a/man/as.widget.Rd b/man/as.widget.Rd index 9a570a27fe..a4b36000df 100644 --- a/man/as.widget.Rd +++ b/man/as.widget.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/print.R +% Please edit documentation in R/deprecated.R \name{as.widget} \alias{as.widget} \title{Convert a plotly object to an htmlwidget object} @@ -12,7 +12,8 @@ as.widget(x, ...) \item{...}{other options passed onto \code{htmlwidgets::createWidget}} } \description{ -As of version 4.0.0, plotly objects are now htmlwidget objects, -so users shouldn't have to use this function directly. +This function was deprecated in 4.0.0, +as plotly objects are now htmlwidget objects, +so there is no need to convert them. } diff --git a/man/plotly_empty.Rd b/man/plotly_empty.Rd index bdfbc56830..481a37677d 100644 --- a/man/plotly_empty.Rd +++ b/man/plotly_empty.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/plotly.R +% Please edit documentation in R/helpers.R \name{plotly_empty} \alias{plotly_empty} \title{Create a complete empty plotly graph.} diff --git a/man/toWebGL.Rd b/man/toWebGL.Rd index 901504b427..87ee4df29c 100644 --- a/man/toWebGL.Rd +++ b/man/toWebGL.Rd @@ -4,13 +4,10 @@ \alias{toWebGL} \title{Convert trace types to WebGL} \usage{ -toWebGL(p, warn = TRUE) +toWebGL(p) } \arguments{ \item{p}{a plotly or ggplot object.} - -\item{warn}{should a warning be produced if the trace type doesn't have -a WebGL equivalent?} } \description{ Convert trace types to WebGL From 268d5c402082aa998fe94c5b54875efec40493b5 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Wed, 22 Jun 2016 11:45:57 -0500 Subject: [PATCH 55/73] update NEWS; better deparsing --- NEWS | 14 ++++++++------ R/plotly_build.R | 5 ++--- R/utils.R | 4 ++-- 3 files changed, 12 insertions(+), 11 deletions(-) diff --git a/NEWS b/NEWS index f0c32d37c5..a16982a8f2 100644 --- a/NEWS +++ b/NEWS @@ -3,22 +3,24 @@ BREAKING CHANGES & IMPROVEMENTS: * Formulas (instead of plain expressions) are now required when using variable mappings. For example, `plot_ly(mtcars, x = wt, y = mpg, color = vs)` should now be `plot_ly(mtcars, x = ~wt, y = ~mpg, color = ~vs)`. This is a major breaking change, but it is necessary to ensure that evaluation is correct in all contexts (as a result, `evaluate` argument is now deprecated as it is no longer needed). It also has the benefit of being easier to program with (i.e., writing your own custom functions that wrap `plot_ly()`). For more details, see the [lazyeval vignette](https://github.com/hadley/lazyeval/blob/master/vignettes/lazyeval.Rmd) -* The data structure used to represent plotly objects is now an htmlwidget object (instead of a data frame with a special attribute tracking visual mappings). As a result, plotly objects can now be serialized across R sessions and avoid [memory leak issues](https://github.com/rstudio/shiny/issues/1151). This also implies that arbitrary data manipulation functions can no longer be intermingled inside a plot pipeline, but plotly methods for dplyr's data manipulation verbs are now provided (see `help("plotly-data")` for more details). -* The `group` variable mapping no longer create multiple traces, but instead defines "gaps" within a trace (fixes #418, #381, #577). Groupings should be declared via the new `group_by()` function (for examples, see `help("plotly-data")`) instead of the `group` argument (which is now deprecated). -* Scales for variable mappings (such as `color`, `symbol`, `linetype`) are now applied at the plot-level instead of the trace level. As a result, the `colors`/`symbols` arguments have been removed from `add_trace()`. +* The data structure used to represent plotly objects is now an htmlwidget object (instead of a data frame with a special attribute tracking visual mappings). As a result, the `as.widget()` function has been deprecated, and [serialization/memory leak problems](https://github.com/rstudio/shiny/issues/1151) are no longer an issue. This change also implies that arbitrary data manipulation functions can no longer be intermingled inside a plot pipeline, but plotly methods for dplyr's data manipulation verbs are now provided (see `help("plotly-data")` for examples). +* The `group` variable mapping no longer create multiple traces, but instead defines "gaps" within a trace (fixes #418, #381, #577). Groupings should be declared via the new `group_by()` function (see `help("plotly-data")` for examples) instead of the `group` argument (which is now deprecated). +* `plot_ly()` now _initializes_ a plotly object (i.e., won't add a scatter trace by default), meaning that something like `plot_ly(x = 1:10, y = 1:10) %>% add_trace(y = 10:1)` will create one trace, instead of two. However, `plot_ly()` will draw a trace if you manually specify a trace type, for example, `plot_ly(x = 1:10, y = 1:10, type = "scatter") %>% add_trace(y = 10:1)` will draw two scatter traces. If no trace type is provided, a sensible type is inferred from the supplied data, and automatically added (i.e., `plot_ly(x = rnorm(100))` now creates a histogram). * The `inherit` argument is deprecated. Any arguments/attributes specified in `plot_ly()` will automatically be passed along to additional traces added via `add_trace()` (or any of it's `add_*()` siblings). +* Scales for variable mappings (such as `color`, `symbol`, `linetype`) are now applied at the plot-level instead of the trace level. For this reason, the range of these scales (`colors`/`symbols`/`linetypes`) should be specified in `plot_ly()`, instead of `add_trace()` or any of it's `add_*()` siblings. NEW FEATURES & IMPROVEMENTS: * Error checking for trace and layout attributes. -* If no trace type is provided, a sensible type is inferred from the supplied data. -* New `add_polygons()`/`add_ribbons()`/`add_lines()`/`add_markers()`/`add_paths()`/`add_text()` functions provide a shorthand for common plots. +* New `add_polygons()`/`add_ribbons()`/`add_area()`/`add_segments()`/`add_lines()`/`add_markers()`/`add_paths()`/`add_text()` functions provide a shorthand for common visual markings. +* New `plotly_data()` function for returning/inspecting data frame(s) associated with a plotly object. +* New `plotly_json()` function for inspecting the data sent to plotly.js (as an R list or JSON). * Added `linetype`/`linetypes` arguments for mapping discrete variables to line types (this works very much like the `symbol`/`symbols`). * Added a `sizes` argument for controlling the range of marker size scaling. * New `toWebGL()` function for easy conversion from SVG to WebGL. * New `export()` function makes it easy to save plots as png/jpeg/pdf (fixes #311). * `layout()` is now a generic function and uses method dispatch to avoid conflicts with `graphics:layout()` (fixes #464). -* Added a `plotly_json()` function for inspecting the data sent to plotly.js (as an R list or JSON). + OTHER CHANGES: diff --git a/R/plotly_build.R b/R/plotly_build.R index 907db4d94d..a04307ac40 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -58,7 +58,7 @@ plotly_build.plotly <- function(p) { nm <- paste0(i, "axis") idx <- which(names(x) %in% i) if (length(idx) == 1) { - title <- sub("^~", "", deparse2(x[[idx]])) + title <- deparse2(x[[idx]]) if (is3d(x$type) || i == "z") { p$x$layout$scene[[nm]]$title <<- p$x$layout$scene[[nm]]$title %||% title } else { @@ -153,8 +153,7 @@ plotly_build.plotly <- function(p) { # "transforms" of (i.e., apply scaling to) special arguments # IMPORTANT: scales are applied at the plot-level!! colorTitle <- unlist(lapply(p$x$attrs, function(x) { - col <- x[["color"]] %||% x[["z"]] - if (is.language(col)) sub("^~", "", deparse2(col)) else NULL + deparse2(x[["color"]] %||% x[["z"]]) })) traces <- map_color(traces, title = paste(colorTitle, collapse = "
")) traces <- map_size(traces) diff --git a/R/utils.R b/R/utils.R index 054fc1ce14..3a185a1852 100644 --- a/R/utils.R +++ b/R/utils.R @@ -27,8 +27,8 @@ is.discrete <- function(x) { } deparse2 <- function(x) { - if (is.null(x)) return(NULL) - paste(deparse(x, 500L), collapse = "") + if (is.null(x) || !is.language(x)) return(NULL) + sub("^~", "", paste(deparse(x, 500L), collapse = "")) } new_id <- function() { From 456d186714d79afe56703a242d0238ec6390c0b3 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Wed, 22 Jun 2016 12:16:42 -0500 Subject: [PATCH 56/73] add event source; fixes event_data() on plotly graphs --- R/plotly.R | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/R/plotly.R b/R/plotly.R index f3264c81b4..334be23b19 100644 --- a/R/plotly.R +++ b/R/plotly.R @@ -118,7 +118,9 @@ plot_ly <- function(data = data.frame(), ..., type = NULL, group, margin = list(b = 40, l = 60, t = 25, r = 10) ), config = list(modeBarButtonsToRemove = I("sendDataToCloud")), - base_url = get_domain() + base_url = get_domain(), + # TODO: make this trace specific when we merge with crosstalk branch + source = source ) as_widget(p) From b2b9bd76efb7df40baa77222292709df269f0597 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Wed, 22 Jun 2016 12:20:46 -0500 Subject: [PATCH 57/73] fix config() --- R/layout.R | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/R/layout.R b/R/layout.R index bbfa66a716..6bd47bd550 100644 --- a/R/layout.R +++ b/R/layout.R @@ -42,7 +42,6 @@ layout.plotly <- function(p, ..., data = NULL) { #' } config <- function(p, ...) { - nConfig <- length(p$x$config) - p$x$config[[nConfig + 1]] <- list(...) + p$x$config <- modify_list(p$x$config, list(...)) p } From 04dde5d86d946192acf809f58b7af2bcbb6513d4 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Wed, 22 Jun 2016 13:14:01 -0500 Subject: [PATCH 58/73] update inst/examples --- R/utils.R | 2 +- inst/examples/Movies/server.R | 2 +- inst/examples/UN_Advanced/server.R | 36 +++++-------------- inst/examples/UN_Simple/server.R | 2 +- inst/examples/lmGadget/app.R | 52 +++++++++++---------------- inst/examples/plotlyEvents/app.R | 2 +- inst/examples/plotlyLinkedBrush/app.R | 2 +- inst/examples/plotlyLinkedClick/app.R | 7 ++-- vignettes/subplot.Rmd | 2 +- 9 files changed, 38 insertions(+), 69 deletions(-) diff --git a/R/utils.R b/R/utils.R index 3a185a1852..35f9292859 100644 --- a/R/utils.R +++ b/R/utils.R @@ -88,7 +88,7 @@ verify_boxed <- function(p) { } for (tr in seq_along(p$x$data)) { thisTrace <- p$x$data[[tr]] - validAttrs <- Schema$traces[[thisTrace$type]]$attributes + validAttrs <- Schema$traces[[thisTrace$type %||% "scatter"]]$attributes p$x$data[[tr]] <- verify_box(thisTrace, validAttrs) } p diff --git a/inst/examples/Movies/server.R b/inst/examples/Movies/server.R index 779db302ac..343a42cb24 100644 --- a/inst/examples/Movies/server.R +++ b/inst/examples/Movies/server.R @@ -12,7 +12,7 @@ shinyServer(function(input, output) { size <- (maxx - minx) / input$bins # a simple histogram of movie ratings - p <- plot_ly(movies, x = rating, autobinx = F, type = "histogram", + p <- plot_ly(movies, x = ~rating, autobinx = F, type = "histogram", xbins = list(start = minx, end = maxx, size = size)) # style the xaxis layout(p, xaxis = list(title = "Ratings", range = c(minx, maxx), autorange = F, diff --git a/inst/examples/UN_Advanced/server.R b/inst/examples/UN_Advanced/server.R index 8e255b8054..27f127d282 100644 --- a/inst/examples/UN_Advanced/server.R +++ b/inst/examples/UN_Advanced/server.R @@ -22,38 +22,18 @@ shinyServer(function(input, output, session) { graph_title <- paste("Ideal Points for ", j_names, sep="") ggideal_point <- ggplot(df_trend) + - geom_line(aes(x = Year, y = Ideal.point, by = Name, color = Name)) + + geom_line(aes(x = Year, y = Ideal.point, color = Name)) + labs(x = "Year", y = "Ideology", title = graph_title) + scale_colour_hue("clarity", l = 70, c = 150) + ggthemes::theme_few() + - theme(legend.direction = "horizontal", legend.position = "bottom") + theme(legend.position = "none") # Convert ggplot object to plotly - gg <- plotly_build(ggideal_point) - - # Use Plotly syntax to further edit the plot: - gg$layout$annotations <- NULL # Remove the existing annotations (the legend label) - gg$layout$annotations <- list() - - # Add colored text annotations next to the end of each line - # More about plotly annotations: https://plot.ly/r/reference/#annotation - # Each key that we update is documented in that link above. - for (i in 1:length(gg$data)) { # data is a list of the lines in the graph - gg$layout$annotations[[i]] <- list( - text = gg$data[[i]]$name, # The text label of the annotation, e.g. "Canada" - font = list(color = gg$data[[i]]$line$color), # Match the font color to the line color - showarrow = FALSE, # Don't show the annotation arrow - y = gg$data[[i]]$y[[length(gg$data[[i]]$y)]], # set the y position of the annotation to the last point of the line - yref = "y1", # the "y" coordinates above are with respect to the yaxis - x = 1, # set the x position of the graph to the right hand side of the graph - xref = "paper", # the x coordinates are with respect to the "paper", where 1 means the right hand side of the graph and 0 means the left hand side - xanchor = "left" # position the x coordinate with respect to the left of the text - ); - } - - gg$layout$showlegend <- FALSE # remove the legend - gg$layout$margin$r <- 170 # increase the size of the right margin to accommodate more room for the annotation labels - gg - + ggplotly(ggideal_point) %>% + layout( + showlegend = FALSE, + # increase the size of the right margin to accommodate more room for the annotation labels + margin = list(r = 170) + ) } }) diff --git a/inst/examples/UN_Simple/server.R b/inst/examples/UN_Simple/server.R index 3c99f90ca4..61746c41b5 100644 --- a/inst/examples/UN_Simple/server.R +++ b/inst/examples/UN_Simple/server.R @@ -10,7 +10,7 @@ shinyServer(function(input, output, session) { } else { df_trend <- ideal[ideal$Name == input$name, ] ggplot(df_trend) + - geom_line(aes(x = Year, y = Ideal.point, by = Name, color = Name)) + + geom_line(aes(x = Year, y = Ideal.point, color = Name)) + labs(x = "Year", y = "Ideology", title = "Ideal Points for Countries") + scale_colour_hue("clarity", l = 70, c = 150) + ggthemes::theme_few() } diff --git a/inst/examples/lmGadget/app.R b/inst/examples/lmGadget/app.R index ab74a479ad..18683e9782 100644 --- a/inst/examples/lmGadget/app.R +++ b/inst/examples/lmGadget/app.R @@ -10,10 +10,11 @@ library(plotly) #' Click on points to add/remove them from consideration #' #' @param dat a data.frame -#' @param x a character string specifying the x variable -#' @param y a character string specifying the y variable +#' @param x a formula specifying the x variable +#' @param y a formula specifying the y variable +#' @param key a vector specifying unique attributes for each row -lmGadget <- function(dat, x, y) { +lmGadget <- function(dat, x, y, key = row.names(dat)) { ui <- miniPage( gadgetTitleBar("Interactive lm"), @@ -40,38 +41,25 @@ lmGadget <- function(dat, x, y) { selection <- init() server <- function(input, output) { - - # obtain a subset of the data that is still under consideration - left <- reactive({ - d <- event_data("plotly_click") - if (!is.null(d)) { - dat <- dat[!selection(row.names(dat) %in% d[["key"]]), ] - } - dat - }) - - # fit a model to subsetted data - refit <- reactive({ + + output$plot1 <- renderPlotly({ req(input$degree) + d <- event_data("plotly_click") + selected <- selection(key %in% d[["key"]]) + modelDat <- dat[!selected, ] formula <- as.formula( - sprintf("%s ~ poly(%s, degree = %s)", y, x, input$degree) + sprintf("%s ~ poly(%s, degree = %s)", as.character(y)[2], as.character(x)[2], input$degree) ) - lm(formula, left()) - }) - - output$plot1 <- renderPlotly({ - dat2 <- left() - dat2$yhat <- as.numeric(fitted(refit())) - # sort data by 'x' variable so we draw a line (not a path) - dat2 <- dat2[order(dat2[, x]), ] + m <- lm(formula, modelDat) + modelDat$yhat <- as.numeric(fitted(m)) + mcolor <- rep(toRGB("black"), NROW(dat)) + mcolor[selected] <- toRGB("grey90") - plot_ly(x = dat[, x], y = dat[, y], key = row.names(dat), mode = "markers", - marker = list(color = toRGB("grey90"), size = 10)) %>% - add_trace(x = dat2[, x], y = dat2[, y], mode = "markers", - marker = list(color = toRGB("black"), size = 10)) %>% - add_trace(x = dat2[, x], y = dat2$yhat, mode = "lines", - marker = list(color = toRGB("black"))) %>% - layout(showlegend = FALSE, xaxis = list(title = x), yaxis = list(title = y)) + dat %>% + plot_ly(x = x, y = y) %>% + add_markers(key = key, marker = list(color = mcolor, size = 10)) %>% + add_lines(y = ~yhat, data = modelDat) %>% + layout(showlegend = FALSE) }) # Return the most recent fitted model, when we press "done" @@ -83,4 +71,4 @@ lmGadget <- function(dat, x, y) { runGadget(ui, server) } -m <- lmGadget(mtcars, "wt", "mpg") +m <- lmGadget(mtcars, x = ~wt, y = ~mpg) diff --git a/inst/examples/plotlyEvents/app.R b/inst/examples/plotlyEvents/app.R index a140df4666..3d64c349ff 100644 --- a/inst/examples/plotlyEvents/app.R +++ b/inst/examples/plotlyEvents/app.R @@ -20,7 +20,7 @@ server <- function(input, output, session) { geom_point() ggplotly(p) %>% layout(dragmode = "select") } else { - plot_ly(mtcars, x = mpg, y = wt, key = key, mode = "markers") %>% + plot_ly(mtcars, x = ~mpg, y = ~wt, key = ~key, mode = "markers") %>% layout(dragmode = "select") } }) diff --git a/inst/examples/plotlyLinkedBrush/app.R b/inst/examples/plotlyLinkedBrush/app.R index 24e5c075d4..aaf8c32451 100644 --- a/inst/examples/plotlyLinkedBrush/app.R +++ b/inst/examples/plotlyLinkedBrush/app.R @@ -72,7 +72,7 @@ server <- function(input, output, session) { output$xy <- renderPlotly({ cars %>% - plot_ly(x = speed, y = dist, + plot_ly(x = ~speed, y = ~dist, mode = "markers", marker = m) %>% layout(dragmode = "select") }) diff --git a/inst/examples/plotlyLinkedClick/app.R b/inst/examples/plotlyLinkedClick/app.R index 5167cea3d7..3f0af79789 100644 --- a/inst/examples/plotlyLinkedClick/app.R +++ b/inst/examples/plotlyLinkedClick/app.R @@ -40,13 +40,14 @@ server <- function(input, output, session) { vars <- c(s[["x"]], s[["y"]]) d <- setNames(mtcars[vars], c("x", "y")) yhat <- fitted(lm(y ~ x, data = d)) - plot_ly(d, x = x, y = y, mode = "markers") %>% - add_trace(x = x, y = yhat, mode = "lines") %>% + plot_ly(d, x = ~x) %>% + add_markers(y = ~y) %>% + add_lines(y = ~yhat) %>% layout(xaxis = list(title = s[["x"]]), yaxis = list(title = s[["y"]]), showlegend = FALSE) } else { - plot_ly() + plotly_empty() } }) diff --git a/vignettes/subplot.Rmd b/vignettes/subplot.Rmd index fe66752157..bca66b9620 100644 --- a/vignettes/subplot.Rmd +++ b/vignettes/subplot.Rmd @@ -55,7 +55,7 @@ subplot(plots, nrows = length(plots), shareX = TRUE, titleX = FALSE) # this works too, but I'm not sure we should advertise... elong <- tidyr::gather(economics, variable, value, -date) elong$id <- as.integer(factor(elong$variable)) -p <- plot_ly(elong, x = ~date, y = ~value, group = ~variable, yaxis = ~paste0("y", id)) +p <- plot_ly(elong, x = ~date, y = ~value, color = ~variable, yaxis = ~paste0("y", id)) subplot(p, nrows = 5, shareX = TRUE) ``` From 132b9cda93f9c46740e5a9c1afc5a2d2fda8fc4b Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Wed, 22 Jun 2016 16:41:03 -0500 Subject: [PATCH 59/73] vapply is too strict --- R/plotly_build.R | 8 ++++---- R/utils.R | 4 ++-- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/R/plotly_build.R b/R/plotly_build.R index a04307ac40..fa98b731d5 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -252,8 +252,8 @@ map_size <- function(traces) { } sizeRange <- range(allSize, na.rm = TRUE) - types <- vapply(traces, function(tr) tr$type, character(1)) - modes <- vapply(traces, function(tr) tr$mode %||% "lines", character(1)) + types <- unlist(lapply(traces, function(tr) tr$type %||% "scatter")) + modes <- unlist(lapply(traces, function(tr) tr$mode %||% "lines")) hasMarker <- has_marker(types, modes) hasLine <- has_line(types, modes) hasText <- has_text(types, modes) @@ -296,8 +296,8 @@ map_color <- function(traces, title = "", na.color = "transparent") { stop("Can't have both discrete and numeric color mappings", call. = FALSE) } # color/colorscale/colorbar attribute placement depends on trace type and marker mode - types <- vapply(traces, function(tr) tr$type, character(1)) - modes <- vapply(traces, function(tr) tr$mode %||% "lines", character(1)) + types <- unlist(lapply(traces, function(tr) tr$type %||% "scatter")) + modes <- unlist(lapply(traces, function(tr) tr$mode %||% "lines")) hasMarker <- has_marker(types, modes) hasLine <- has_line(types, modes) hasText <- has_text(types, modes) diff --git a/R/utils.R b/R/utils.R index 35f9292859..f5eb98fb09 100644 --- a/R/utils.R +++ b/R/utils.R @@ -219,8 +219,8 @@ verify_hovermode <- function(p) { if (!is.null(p$x$layout$hovermode)) { return(p) } - types <- vapply(p$x$data, function(tr) tr$type, character(1)) - modes <- vapply(p$x$data, function(tr) tr$mode %||% "lines", character(1)) + types <- unlist(lapply(p$x$data, function(tr) tr$type %||% "scatter")) + modes <- unlist(lapply(p$x$data, function(tr) tr$mode %||% "lines")) if (any(grepl("markers", modes) & types == "scatter")) { p$x$layout$hovermode <- "closest" } From 3335d3934ca08ee33b752657c38b26d9e8a344ad Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Wed, 22 Jun 2016 17:12:18 -0500 Subject: [PATCH 60/73] documentation fixes --- NAMESPACE | 3 +++ R/add.R | 8 +++++--- R/helpers.R | 1 + R/utils.R | 1 - man/add_trace.Rd | 9 +++++++-- man/hide_colorbar.Rd | 6 ++++++ 6 files changed, 22 insertions(+), 6 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index b7f229dc86..4cee612392 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -45,11 +45,13 @@ S3method(to_basic,GeomViolin) S3method(to_basic,GeomVline) S3method(to_basic,default) export("%>%") +export(add_area) export(add_data) export(add_lines) export(add_markers) export(add_paths) export(add_polygons) +export(add_ribbons) export(add_segments) export(add_text) export(add_trace) @@ -68,6 +70,7 @@ export(ggplotly) export(group_by) export(group_by_.plotly) export(groups.plotly) +export(hide_colorbar) export(knit_print.plotly_figure) export(layout) export(mutate_.plotly) diff --git a/R/add.R b/R/add.R index 64a35825a6..7421e879f5 100644 --- a/R/add.R +++ b/R/add.R @@ -153,7 +153,6 @@ add_lines <- function(p, x = NULL, y = NULL, ...) { #' @inheritParams add_trace #' @rdname add_trace #' @export -#' add_segments <- function(p, x = NULL, y = NULL, xend = NULL, yend = NULL, ...) { if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { stop("Must supply `x` attribute", call. = FALSE) @@ -174,6 +173,8 @@ add_segments <- function(p, x = NULL, y = NULL, xend = NULL, yend = NULL, ...) { } +#' +#' #' @inheritParams add_trace #' @rdname add_trace #' @export @@ -199,11 +200,11 @@ add_polygons <- function(p, x = NULL, y = NULL, ...) { ) } -#' Ribbon plots -#' + #' @inheritParams add_trace #' @rdname add_trace #' @export +#' @examples #' #' plot_ly(economics, x = ~date) %>% #' add_ribbons(ymin = ~pce - 1e3, ymax = ~pce + 1e3) @@ -232,6 +233,7 @@ add_ribbons <- function(p, x = NULL, ymin = NULL, ymax = NULL, ...) { #' @inheritParams add_trace #' @rdname add_trace #' @export +#' @examples #' #' huron <- data.frame(year = 1875:1972, level = as.vector(LakeHuron)) #' plot_ly(huron, x = ~year, ymax = ~level) %>% add_area() diff --git a/R/helpers.R b/R/helpers.R index 10d24d7565..94f7e03723 100644 --- a/R/helpers.R +++ b/R/helpers.R @@ -2,6 +2,7 @@ #' #' @param p a plotly object. #' @export +#' @examples #' #' plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop) %>% #' add_markers() %>% diff --git a/R/utils.R b/R/utils.R index f5eb98fb09..6ab983f0b0 100644 --- a/R/utils.R +++ b/R/utils.R @@ -106,7 +106,6 @@ verify_box <- function(proposed, schema) { identical(attrSchema[["role"]], "object"), error = function(e) FALSE ) - if (isArray) { proposed[[attr]] <- i(attrVal) } diff --git a/man/add_trace.Rd b/man/add_trace.Rd index fd682fa3cf..12ef1f0f49 100644 --- a/man/add_trace.Rd +++ b/man/add_trace.Rd @@ -68,8 +68,6 @@ Add text to a plotly vis Equivalent to \code{add_paths}, but with the x-values sorted. -Ribbon plots - Equivalent to \link{add_ribbon} with \code{ymin} set to 0. } \examples{ @@ -94,6 +92,13 @@ ggplot2::map_data("world", "canada") \%>\% add_markers(text = ~paste(name, "
", pop), hoverinfo = "text", data = maps::canada.cities) \%>\% layout(showlegend = FALSE) + +plot_ly(economics, x = ~date) \%>\% + add_ribbons(ymin = ~pce - 1e3, ymax = ~pce + 1e3) + +huron <- data.frame(year = 1875:1972, level = as.vector(LakeHuron)) +plot_ly(huron, x = ~year, ymax = ~level) \%>\% add_area() + } \author{ Carson Sievert diff --git a/man/hide_colorbar.Rd b/man/hide_colorbar.Rd index 14ddffe2b6..575d45f689 100644 --- a/man/hide_colorbar.Rd +++ b/man/hide_colorbar.Rd @@ -12,4 +12,10 @@ hide_colorbar(p) \description{ Hide a color bar } +\examples{ + +plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop) \%>\% + add_markers() \%>\% + hide_colorbar() +} From fd2d9d594c5d994a5491fde9d11d41bd81e1ec96 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Wed, 22 Jun 2016 21:19:17 -0500 Subject: [PATCH 61/73] some grouping/ordering fixes --- R/add.R | 27 ++++++++++++++++++--------- R/plotly_build.R | 20 ++++++++++++-------- man/add_trace.Rd | 14 ++++++++++---- 3 files changed, 40 insertions(+), 21 deletions(-) diff --git a/R/add.R b/R/add.R index 7421e879f5..70e807fe36 100644 --- a/R/add.R +++ b/R/add.R @@ -97,37 +97,39 @@ add_markers <- function(p, x = NULL, y = NULL, ...) { add_trace(p, x = x, y = y, type = "scatter", mode = "markers", ...) } -#' Add paths to a plotly vis +#' Add text to a plotly vis #' #' @inheritParams add_trace #' @rdname add_trace #' @export -add_paths <- function(p, x = NULL, y = NULL, ...) { +add_text <- function(p, x = NULL, y = NULL, text = NULL, ...) { if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { stop("Must supply `x` attribute", call. = FALSE) } if (is.null(y <- y %||% p$x$attrs[[1]][["y"]])) { stop("Must supply `y` attribute", call. = FALSE) } - add_trace(p, x = x, y = y, type = "scatter", mode = "lines", ...) + if (is.null(text <- text %||% p$x$attrs[[1]][["text"]])) { + stop("Must supply `text` attribute", call. = FALSE) + } + add_trace(p, x = x, y = y, text = text, type = "scatter", mode = "text", ...) } -#' Add text to a plotly vis +#' Add paths to a plotly vis #' #' @inheritParams add_trace #' @rdname add_trace #' @export -add_text <- function(p, x = NULL, y = NULL, text = NULL, ...) { +add_paths <- function(p, x = NULL, y = NULL, ...) { if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { stop("Must supply `x` attribute", call. = FALSE) } if (is.null(y <- y %||% p$x$attrs[[1]][["y"]])) { stop("Must supply `y` attribute", call. = FALSE) } - if (is.null(text <- text %||% p$x$attrs[[1]][["text"]])) { - stop("Must supply `text` attribute", call. = FALSE) - } - add_trace(p, x = x, y = y, text = text, type = "scatter", mode = "text", ...) + add_trace_classed( + p, x = x, y = y, class = "plotly_path", type = "scatter", mode = "lines", ... + ) } #' Add lines to a plotly vis @@ -137,6 +139,13 @@ add_text <- function(p, x = NULL, y = NULL, text = NULL, ...) { #' @inheritParams add_trace #' @rdname add_trace #' @export +#' @examples +#' +#' txhousing %>% +#' group_by(city) %>% +#' plot_ly(x = ~date, y = ~median) %>% +#' add_lines(line = list(color = toRGB("black", 0.2))) +#' add_lines <- function(p, x = NULL, y = NULL, ...) { if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { stop("Must supply `x` attribute", call. = FALSE) diff --git a/R/plotly_build.R b/R/plotly_build.R index fa98b731d5..ea25b938c7 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -80,16 +80,12 @@ plotly_build.plotly <- function(p) { nobs <- NROW(dat) isVar <- vapply(x, function(attr) length(attr) == nobs, logical(1)) builtData <- data.frame(x[isVar & !names(x) %in% c("colors", "symbols", "linetypes")]) - builtData <- train_data(builtData, x) - # TODO: provide a better way to clean up "high-level" attrs - x[c("ymin", "ymax", "yend", "xend")] <- NULL - x$.plotlyVariableMapping <- names(builtData) # find any groupings, so we can arrange the data now, # and insert missing values (to create gaps between traces) later - grps <- as.character(dplyr::groups(builtData)) + grps <- as.character(dplyr::groups(dat)) # does grouping even make sense for this trace type? - hasGrp <- inherits(x, c("plotly_segment", "plotly_line", "plotly_polygon")) || + hasGrp <- inherits(x, c("plotly_segment", "plotly_path", "plotly_line", "plotly_polygon")) || (grepl("scatter", x$type) && grepl("lines", x$mode %||% "lines")) if (length(grps) && hasGrp) { if (isTRUE(x$connectgaps)) { @@ -98,9 +94,14 @@ plotly_build.plotly <- function(p) { call. = FALSE ) } - builtData$.plotlyGroupIndex <- interaction(builtData[, grps, drop = FALSE]) + builtData$.plotlyGroupIndex <- interaction(dat[, grps, drop = FALSE]) } + builtData <- train_data(builtData, x) + # TODO: provide a better way to clean up "high-level" attrs + x[c("ymin", "ymax", "yend", "xend")] <- NULL + x$.plotlyVariableMapping <- names(builtData) + # build the index used to transform one "trace" into multiple traces discreteData <- builtData[vapply(builtData, is.discrete, logical(1))] discreteData <- discreteData[names(discreteData) %in% c("symbol", "linetype", "color")] @@ -143,7 +144,10 @@ plotly_build.plotly <- function(p) { # insert NAs to differentiate groups traces <- lapply(traces, function(x) { d <- data.frame(x[names(x) %in% c(x$.plotlyVariableMapping)]) - d <- group2NA(d, ".plotlyGroupIndex", retrace.first = inherits(x, "plotly_polygon")) + d <- group2NA( + d, ".plotlyGroupIndex", ordered = if (inherits(x, "plotly_line")) "x", + retrace.first = inherits(x, "plotly_polygon") + ) for (i in x$.plotlyVariableMapping) { x[[i]] <- uniq(d[[i]]) } diff --git a/man/add_trace.Rd b/man/add_trace.Rd index 12ef1f0f49..ec0fc18787 100644 --- a/man/add_trace.Rd +++ b/man/add_trace.Rd @@ -16,10 +16,10 @@ add_trace(p, ..., color, symbol, size, linetype, data = NULL) add_markers(p, x = NULL, y = NULL, ...) -add_paths(p, x = NULL, y = NULL, ...) - add_text(p, x = NULL, y = NULL, text = NULL, ...) +add_paths(p, x = NULL, y = NULL, ...) + add_lines(p, x = NULL, y = NULL, ...) add_segments(p, x = NULL, y = NULL, xend = NULL, yend = NULL, ...) @@ -62,10 +62,10 @@ Add trace(s) to a plotly visualization Add points to a plotly vis -Add paths to a plotly vis - Add text to a plotly vis +Add paths to a plotly vis + Equivalent to \code{add_paths}, but with the x-values sorted. Equivalent to \link{add_ribbon} with \code{ymin} set to 0. @@ -85,6 +85,12 @@ plot_ly(economics, x = ~date, y = ~uempmed) \%>\% layout(showlegend = FALSE) +txhousing \%>\% + group_by(city) \%>\% + plot_ly(x = ~date, y = ~median) \%>\% + add_lines(line = list(color = toRGB("black", 0.2))) + + ggplot2::map_data("world", "canada") \%>\% group_by(group) \%>\% plot_ly(x = ~long, y = ~lat) \%>\% From 0e744dcf7ac87dc34a143f1c73e0bfe41faab657 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Thu, 23 Jun 2016 10:20:44 -0500 Subject: [PATCH 62/73] add_heatmap --- NAMESPACE | 1 + R/add.R | 21 +++++++++++++++++++++ R/plotly_build.R | 11 +++++++++++ man/add_trace.Rd | 8 ++++++++ 4 files changed, 41 insertions(+) diff --git a/NAMESPACE b/NAMESPACE index 4cee612392..869e40791a 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -47,6 +47,7 @@ S3method(to_basic,default) export("%>%") export(add_area) export(add_data) +export(add_heatmap) export(add_lines) export(add_markers) export(add_paths) diff --git a/R/add.R b/R/add.R index 70e807fe36..d37128c606 100644 --- a/R/add.R +++ b/R/add.R @@ -261,6 +261,27 @@ add_area <- function(p, x = NULL, ymax = NULL, ...) { ) } +#' Heatmaps +#' +#' @inheritParams add_trace +#' @rdname add_trace +#' @export +#' @examples +#' +#' plot_ly(z = ~volcano) %>% add_heatmap() +#' +add_heatmap <- function(p, z = NULL, ...) { + if (is.null(z <- z %||% p$x$attrs[[1]][["z"]])) { + stop("Must supply `z` attribute", call. = FALSE) + } + add_trace_classed( + p, class = "plotly_heatmap", z = z, + type = "heatmap", ... + ) +} + + + # attach a class to a trace which informs data processing in plotly_build add_trace_classed <- function(p, class = "plotly_polygon", ...) { p <- add_trace(p, ...) diff --git a/R/plotly_build.R b/R/plotly_build.R index ea25b938c7..221123289e 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -74,6 +74,17 @@ plotly_build.plotly <- function(p) { # ensure we have a trace type (depends on the # of data points) x <- verify_type(x) + # do some attribute type checking for special trace types + if (inherits(x, "plotly_heatmap")) { + if (!is.matrix(x$z)) { + stop("`z` must be a matrix", call. = FALSE) + } + if (!is.numeric(x$z)) { + stop("`z` must be numeric", call. = FALSE) + } + } + + # TODO: if we ever provide some semantics for statistics, it should probably go here # gather the "built" or "evaluated" data diff --git a/man/add_trace.Rd b/man/add_trace.Rd index ec0fc18787..08d89ba113 100644 --- a/man/add_trace.Rd +++ b/man/add_trace.Rd @@ -2,6 +2,7 @@ % Please edit documentation in R/add.R \name{add_trace} \alias{add_area} +\alias{add_heatmap} \alias{add_lines} \alias{add_markers} \alias{add_paths} @@ -29,6 +30,8 @@ add_polygons(p, x = NULL, y = NULL, ...) add_ribbons(p, x = NULL, ymin = NULL, ymax = NULL, ...) add_area(p, x = NULL, ymax = NULL, ...) + +add_heatmap(p, z = NULL, ...) } \arguments{ \item{p}{a plotly or ggplot object.} @@ -69,6 +72,8 @@ Add paths to a plotly vis Equivalent to \code{add_paths}, but with the x-values sorted. Equivalent to \link{add_ribbon} with \code{ymin} set to 0. + +Heatmaps } \examples{ @@ -105,6 +110,9 @@ plot_ly(economics, x = ~date) \%>\% huron <- data.frame(year = 1875:1972, level = as.vector(LakeHuron)) plot_ly(huron, x = ~year, ymax = ~level) \%>\% add_area() + +plot_ly(z = ~volcano) \%>\% add_heatmap() + } \author{ Carson Sievert From a807ad4be800b205d2bb944232e226d2816716be Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Thu, 23 Jun 2016 11:33:11 -0500 Subject: [PATCH 63/73] add a few more basic add_*() functions --- NAMESPACE | 3 +++ R/add.R | 66 ++++++++++++++++++++++++++++++++++++++++++++++++ R/plotly_build.R | 2 +- R/utils.R | 2 +- man/add_trace.Rd | 28 ++++++++++++++++++++ 5 files changed, 99 insertions(+), 2 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index 869e40791a..0d75f3d44c 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -46,14 +46,17 @@ S3method(to_basic,GeomVline) S3method(to_basic,default) export("%>%") export(add_area) +export(add_bars) export(add_data) export(add_heatmap) +export(add_histogram) export(add_lines) export(add_markers) export(add_paths) export(add_polygons) export(add_ribbons) export(add_segments) +export(add_surface) export(add_text) export(add_trace) export(arrange_.plotly) diff --git a/R/add.R b/R/add.R index d37128c606..76104581ca 100644 --- a/R/add.R +++ b/R/add.R @@ -261,6 +261,54 @@ add_area <- function(p, x = NULL, ymax = NULL, ...) { ) } + +#' Bar chart +#' +#' @inheritParams add_trace +#' @rdname add_trace +#' @export +#' @examples +#' +#' library(dplyr) +#' mtcars %>% +#' count(vs) %>% +#' plot_ly(x = ~vs, y = ~n) %>% +#' add_bars() +#' +add_bars <- function(p, x = NULL, y = NULL, ...) { + x <- x %||% p$x$attrs[[1]][["x"]] + y <- y %||% p$x$attrs[[1]][["y"]] + if (is.null(x) && is.null(y)) { + stop("Must supply `x` and/or `y` attributes", call. = FALSE) + } + # TODO: provide type checking in plotly_build for this trace type + add_trace_classed( + p, class = "plotly_bar", x = x, y = y, type = "bar", ... + ) +} + +#' Histogram +#' +#' @inheritParams add_trace +#' @rdname add_trace +#' @export +#' @examples +#' +#' plot_ly(x = ~rnorm(100)) %>% add_histogram() +#' +add_histogram <- function(p, x = NULL, y = NULL, ...) { + x <- x %||% p$x$attrs[[1]][["x"]] + y <- y %||% p$x$attrs[[1]][["y"]] + if (is.null(x) && is.null(y)) { + stop("Must supply `x` and/or `y` attributes", call. = FALSE) + } + # TODO: provide type checking in plotly_build for this trace type + add_trace_classed( + p, class = "plotly_histogram", x = x, y = y, type = "histogram", ... + ) +} + + #' Heatmaps #' #' @inheritParams add_trace @@ -280,6 +328,24 @@ add_heatmap <- function(p, z = NULL, ...) { ) } +#' Surface +#' +#' @inheritParams add_trace +#' @rdname add_trace +#' @export +#' @examples +#' +#' plot_ly(z = ~volcano) %>% add_surface() +#' +add_surface <- function(p, z = NULL, ...) { + if (is.null(z <- z %||% p$x$attrs[[1]][["z"]])) { + stop("Must supply `z` attribute", call. = FALSE) + } + add_trace_classed( + p, class = "plotly_surface", z = z, type = "surface", ... + ) +} + # attach a class to a trace which informs data processing in plotly_build diff --git a/R/plotly_build.R b/R/plotly_build.R index 221123289e..a6abb8d886 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -75,7 +75,7 @@ plotly_build.plotly <- function(p) { x <- verify_type(x) # do some attribute type checking for special trace types - if (inherits(x, "plotly_heatmap")) { + if (inherits(x, c("plotly_heatmap", "plotly_surface"))) { if (!is.matrix(x$z)) { stop("`z` must be a matrix", call. = FALSE) } diff --git a/R/utils.R b/R/utils.R index 6ab983f0b0..089349c2ca 100644 --- a/R/utils.R +++ b/R/utils.R @@ -168,7 +168,7 @@ verify_type <- function(trace) { relay_type <- function(type) { message( - "No trace type specified. Inferring a type of '", type, "'.\n", + "No trace type specified. Applying `add_", type, "()`.\n", "Read more about this trace type here -> https://plot.ly/r/reference/#", type ) type diff --git a/man/add_trace.Rd b/man/add_trace.Rd index 08d89ba113..2feccf7a4e 100644 --- a/man/add_trace.Rd +++ b/man/add_trace.Rd @@ -2,13 +2,16 @@ % Please edit documentation in R/add.R \name{add_trace} \alias{add_area} +\alias{add_bars} \alias{add_heatmap} +\alias{add_histogram} \alias{add_lines} \alias{add_markers} \alias{add_paths} \alias{add_polygons} \alias{add_ribbons} \alias{add_segments} +\alias{add_surface} \alias{add_text} \alias{add_trace} \title{Add trace(s) to a plotly visualization} @@ -31,7 +34,13 @@ add_ribbons(p, x = NULL, ymin = NULL, ymax = NULL, ...) add_area(p, x = NULL, ymax = NULL, ...) +add_bars(p, x = NULL, y = NULL, ...) + +add_histogram(p, x = NULL, y = NULL, ...) + add_heatmap(p, z = NULL, ...) + +add_surface(p, z = NULL, ...) } \arguments{ \item{p}{a plotly or ggplot object.} @@ -73,7 +82,13 @@ Equivalent to \code{add_paths}, but with the x-values sorted. Equivalent to \link{add_ribbon} with \code{ymin} set to 0. +Bar chart + +Histogram + Heatmaps + +Surface } \examples{ @@ -111,8 +126,21 @@ huron <- data.frame(year = 1875:1972, level = as.vector(LakeHuron)) plot_ly(huron, x = ~year, ymax = ~level) \%>\% add_area() +library(dplyr) +mtcars \%>\% + count(vs) \%>\% + plot_ly(x = ~vs, y = ~n) \%>\% + add_bars() + + +plot_ly(x = ~rnorm(100)) \%>\% add_histogram() + + plot_ly(z = ~volcano) \%>\% add_heatmap() + +plot_ly(z = ~volcano) \%>\% add_surface() + } \author{ Carson Sievert From 1359a14256c10b934b1a61892f6f1b70e2b64ec2 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Thu, 23 Jun 2016 12:02:30 -0500 Subject: [PATCH 64/73] moar add_*() --- NAMESPACE | 6 +++ R/add.R | 131 +++++++++++++++++++++++++++++++++++++++++++++++ R/plotly_build.R | 2 +- man/add_trace.Rd | 55 ++++++++++++++++++++ 4 files changed, 193 insertions(+), 1 deletion(-) diff --git a/NAMESPACE b/NAMESPACE index 0d75f3d44c..77d12284fe 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -47,14 +47,20 @@ S3method(to_basic,default) export("%>%") export(add_area) export(add_bars) +export(add_boxplot) +export(add_choropleth) +export(add_contour) export(add_data) export(add_heatmap) export(add_histogram) +export(add_histogram2d) +export(add_histogram2dcontour) export(add_lines) export(add_markers) export(add_paths) export(add_polygons) export(add_ribbons) +export(add_scattergeo) export(add_segments) export(add_surface) export(add_text) diff --git a/R/add.R b/R/add.R index 76104581ca..cfcca497bf 100644 --- a/R/add.R +++ b/R/add.R @@ -308,6 +308,60 @@ add_histogram <- function(p, x = NULL, y = NULL, ...) { ) } +#' 2D Histogram +#' +#' @inheritParams add_trace +#' @rdname add_trace +#' @export +#' @examples +#' +#' plot_ly(x = ~LETTERS, y = ~LETTERS) %>% add_histogram2d() +#' z <- as.matrix(table(LETTERS, LETTERS)) +#' plot_ly(x = ~LETTERS, y = ~LETTERS, z = ~z) %>% add_histogram2d() +#' +add_histogram2d <- function(p, x = NULL, y = NULL, z = NULL, ...) { + x <- x %||% p$x$attrs[[1]][["x"]] + y <- y %||% p$x$attrs[[1]][["y"]] + z <- z %||% p$x$attrs[[1]][["z"]] + if (is.null(z)) { + if (is.null(x) || is.null(y)) { + stop("Must supply both `x` and `y` attributes if `z` is NULL", call. = FALSE) + } + } + # TODO: provide type checking in plotly_build for this trace type + add_trace_classed( + p, class = "plotly_histogram2d", x = x, y = y, z = z, + type = "histogram2d", ... + ) +} + +#' 2D Histogram Contour +#' +#' @inheritParams add_trace +#' @rdname add_trace +#' @export +#' @examples +#' +#' plot_ly(MASS::geyser, x = ~waiting, y = ~duration) %>% +#' add_histogram2dcontour() +#' +#' +add_histogram2dcontour <- function(p, x = NULL, y = NULL, z = NULL, ...) { + x <- x %||% p$x$attrs[[1]][["x"]] + y <- y %||% p$x$attrs[[1]][["y"]] + z <- z %||% p$x$attrs[[1]][["z"]] + if (is.null(z)) { + if (is.null(x) || is.null(y)) { + stop("Must supply both `x` and `y` attributes if `z` is NULL", call. = FALSE) + } + } + # TODO: provide type checking in plotly_build for this trace type + add_trace_classed( + p, class = "plotly_histogram2dcontour", x = x, y = y, z = z, + type = "histogram2dcontour", ... + ) +} + #' Heatmaps #' @@ -328,6 +382,45 @@ add_heatmap <- function(p, z = NULL, ...) { ) } +#' Contours +#' +#' @inheritParams add_trace +#' @rdname add_trace +#' @export +#' @examples +#' +#' plot_ly(z = ~volcano) %>% add_contour() +#' +add_contour <- function(p, z = NULL, ...) { + if (is.null(z <- z %||% p$x$attrs[[1]][["z"]])) { + stop("Must supply `z` attribute", call. = FALSE) + } + add_trace_classed( + p, class = "plotly_contour", z = z, + type = "contour", ... + ) +} + +#' Boxplots +#' +#' @inheritParams add_trace +#' @rdname add_trace +#' @export +#' @examples +#' +#' plot_ly(mtcars, x = ~factor(vs), y = ~mpg) %>% add_boxplot() +#' +add_boxplot <- function(p, x = NULL, y = NULL, ...) { + x <- x %||% p$x$attrs[[1]][["x"]] + y <- y %||% p$x$attrs[[1]][["y"]] + if (is.null(x) && is.null(y)) { + stop("Must supply either `x` or `y` attribute", call. = FALSE) + } + add_trace_classed( + p, class = "plotly_boxplot", x = x, y = y, type = "box", ... + ) +} + #' Surface #' #' @inheritParams add_trace @@ -347,6 +440,44 @@ add_surface <- function(p, z = NULL, ...) { } +#' Geo +#' +#' @inheritParams add_trace +#' @rdname add_trace +#' @export +#' @examples +#' +#' plot_ly() %>% add_scattergeo() +#' +add_scattergeo <- function(p, ...) { + add_trace_classed( + p, class = "plotly_scattergeo", type = "scattergeo", ... + ) +} + +#' Choropleths +#' +#' @inheritParams add_trace +#' @rdname add_trace +#' @export +#' @examples +#' +#' density <- state.x77[, "Population"] / state.x77[, "Area"] +#' plot_ly(z = ~density) %>% +#' add_choropleth(locations = state.abb, locationmode = 'USA-states') %>% +#' layout(geo = list(scope = "usa")) +#' +add_choropleth <- function(p, z = NULL, ...) { + if (is.null(z <- z %||% p$x$attrs[[1]][["z"]])) { + stop("Must supply `z` attribute", call. = FALSE) + } + add_trace_classed( + p, class = "plotly_choropleth", type = "choropleth", ... + ) +} + + + # attach a class to a trace which informs data processing in plotly_build add_trace_classed <- function(p, class = "plotly_polygon", ...) { diff --git a/R/plotly_build.R b/R/plotly_build.R index a6abb8d886..10bc37013c 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -75,7 +75,7 @@ plotly_build.plotly <- function(p) { x <- verify_type(x) # do some attribute type checking for special trace types - if (inherits(x, c("plotly_heatmap", "plotly_surface"))) { + if (inherits(x, c("plotly_heatmap", "plotly_surface", "plotly_contour"))) { if (!is.matrix(x$z)) { stop("`z` must be a matrix", call. = FALSE) } diff --git a/man/add_trace.Rd b/man/add_trace.Rd index 2feccf7a4e..f8186bf64f 100644 --- a/man/add_trace.Rd +++ b/man/add_trace.Rd @@ -3,13 +3,19 @@ \name{add_trace} \alias{add_area} \alias{add_bars} +\alias{add_boxplot} +\alias{add_choropleth} +\alias{add_contour} \alias{add_heatmap} \alias{add_histogram} +\alias{add_histogram2d} +\alias{add_histogram2dcontour} \alias{add_lines} \alias{add_markers} \alias{add_paths} \alias{add_polygons} \alias{add_ribbons} +\alias{add_scattergeo} \alias{add_segments} \alias{add_surface} \alias{add_text} @@ -38,9 +44,21 @@ add_bars(p, x = NULL, y = NULL, ...) add_histogram(p, x = NULL, y = NULL, ...) +add_histogram2d(p, x = NULL, y = NULL, z = NULL, ...) + +add_histogram2dcontour(p, x = NULL, y = NULL, z = NULL, ...) + add_heatmap(p, z = NULL, ...) +add_contour(p, z = NULL, ...) + +add_boxplot(p, x = NULL, y = NULL, ...) + add_surface(p, z = NULL, ...) + +add_scattergeo(p, ...) + +add_choropleth(p, z = NULL, ...) } \arguments{ \item{p}{a plotly or ggplot object.} @@ -86,9 +104,21 @@ Bar chart Histogram +2D Histogram + +2D Histogram Contour + Heatmaps +Contours + +Boxplots + Surface + +Geo + +Choropleths } \examples{ @@ -136,11 +166,36 @@ mtcars \%>\% plot_ly(x = ~rnorm(100)) \%>\% add_histogram() +plot_ly(x = ~LETTERS, y = ~LETTERS) \%>\% add_histogram2d() +z <- as.matrix(table(LETTERS, LETTERS)) +plot_ly(x = ~LETTERS, y = ~LETTERS, z = ~z) \%>\% add_histogram2d() + + +plot_ly(MASS::geyser, x = ~waiting, y = ~duration) \%>\% +add_histogram2dcontour() + + + plot_ly(z = ~volcano) \%>\% add_heatmap() +plot_ly(z = ~volcano) \%>\% add_contour() + + +plot_ly(mtcars, x = ~factor(vs), y = ~mpg) \%>\% add_boxplot() + + plot_ly(z = ~volcano) \%>\% add_surface() + +plot_ly() \%>\% add_scattergeo() + + +density <- state.x77[, "Population"] / state.x77[, "Area"] +plot_ly(z = ~density) \%>\% + add_choropleth(locations = state.abb, locationmode = 'USA-states') \%>\% + layout(geo = list(scope = "usa")) + } \author{ Carson Sievert From e9676693e7f4babe327e8daa4f3f95b18399e0ea Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Fri, 24 Jun 2016 08:02:16 -0700 Subject: [PATCH 65/73] symbol/linetype fixes --- R/add.R | 71 +++++--------------------------- R/layers2traces.R | 4 +- R/plotly_build.R | 15 ++++--- R/shiny.R | 2 +- inst/examples/plotlyEvents/app.R | 31 +++----------- man/add_trace.Rd | 54 ------------------------ 6 files changed, 29 insertions(+), 148 deletions(-) diff --git a/R/add.R b/R/add.R index cfcca497bf..aebb709903 100644 --- a/R/add.R +++ b/R/add.R @@ -82,8 +82,6 @@ add_trace <- function(p, ..., p } -#' Add points to a plotly vis -#' #' @inheritParams add_trace #' @rdname add_trace #' @export @@ -97,8 +95,7 @@ add_markers <- function(p, x = NULL, y = NULL, ...) { add_trace(p, x = x, y = y, type = "scatter", mode = "markers", ...) } -#' Add text to a plotly vis -#' + #' @inheritParams add_trace #' @rdname add_trace #' @export @@ -115,8 +112,7 @@ add_text <- function(p, x = NULL, y = NULL, text = NULL, ...) { add_trace(p, x = x, y = y, text = text, type = "scatter", mode = "text", ...) } -#' Add paths to a plotly vis -#' + #' @inheritParams add_trace #' @rdname add_trace #' @export @@ -132,20 +128,14 @@ add_paths <- function(p, x = NULL, y = NULL, ...) { ) } -#' Add lines to a plotly vis -#' -#' Equivalent to \code{add_paths}, but with the x-values sorted. -#' #' @inheritParams add_trace #' @rdname add_trace #' @export #' @examples -#' #' txhousing %>% #' group_by(city) %>% #' plot_ly(x = ~date, y = ~median) %>% #' add_lines(line = list(color = toRGB("black", 0.2))) -#' add_lines <- function(p, x = NULL, y = NULL, ...) { if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { stop("Must supply `x` attribute", call. = FALSE) @@ -182,8 +172,7 @@ add_segments <- function(p, x = NULL, y = NULL, xend = NULL, yend = NULL, ...) { } -#' -#' + #' @inheritParams add_trace #' @rdname add_trace #' @export @@ -235,18 +224,13 @@ add_ribbons <- function(p, x = NULL, ymin = NULL, ymax = NULL, ...) { ) } -#' Area plots -#' -#' Equivalent to \link{add_ribbon} with \code{ymin} set to 0. -#' + #' @inheritParams add_trace #' @rdname add_trace #' @export #' @examples -#' #' huron <- data.frame(year = 1875:1972, level = as.vector(LakeHuron)) #' plot_ly(huron, x = ~year, ymax = ~level) %>% add_area() -#' add_area <- function(p, x = NULL, ymax = NULL, ...) { if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { stop("Must supply `x` attribute", call. = FALSE) @@ -262,19 +246,16 @@ add_area <- function(p, x = NULL, ymax = NULL, ...) { } -#' Bar chart -#' + #' @inheritParams add_trace #' @rdname add_trace #' @export #' @examples -#' #' library(dplyr) #' mtcars %>% #' count(vs) %>% #' plot_ly(x = ~vs, y = ~n) %>% #' add_bars() -#' add_bars <- function(p, x = NULL, y = NULL, ...) { x <- x %||% p$x$attrs[[1]][["x"]] y <- y %||% p$x$attrs[[1]][["y"]] @@ -287,15 +268,13 @@ add_bars <- function(p, x = NULL, y = NULL, ...) { ) } -#' Histogram -#' + #' @inheritParams add_trace #' @rdname add_trace #' @export #' @examples #' #' plot_ly(x = ~rnorm(100)) %>% add_histogram() -#' add_histogram <- function(p, x = NULL, y = NULL, ...) { x <- x %||% p$x$attrs[[1]][["x"]] y <- y %||% p$x$attrs[[1]][["y"]] @@ -308,17 +287,14 @@ add_histogram <- function(p, x = NULL, y = NULL, ...) { ) } -#' 2D Histogram -#' + #' @inheritParams add_trace #' @rdname add_trace #' @export #' @examples -#' #' plot_ly(x = ~LETTERS, y = ~LETTERS) %>% add_histogram2d() #' z <- as.matrix(table(LETTERS, LETTERS)) #' plot_ly(x = ~LETTERS, y = ~LETTERS, z = ~z) %>% add_histogram2d() -#' add_histogram2d <- function(p, x = NULL, y = NULL, z = NULL, ...) { x <- x %||% p$x$attrs[[1]][["x"]] y <- y %||% p$x$attrs[[1]][["y"]] @@ -335,17 +311,12 @@ add_histogram2d <- function(p, x = NULL, y = NULL, z = NULL, ...) { ) } -#' 2D Histogram Contour -#' #' @inheritParams add_trace #' @rdname add_trace #' @export #' @examples -#' #' plot_ly(MASS::geyser, x = ~waiting, y = ~duration) %>% #' add_histogram2dcontour() -#' -#' add_histogram2dcontour <- function(p, x = NULL, y = NULL, z = NULL, ...) { x <- x %||% p$x$attrs[[1]][["x"]] y <- y %||% p$x$attrs[[1]][["y"]] @@ -363,15 +334,12 @@ add_histogram2dcontour <- function(p, x = NULL, y = NULL, z = NULL, ...) { } -#' Heatmaps -#' + #' @inheritParams add_trace #' @rdname add_trace #' @export #' @examples -#' #' plot_ly(z = ~volcano) %>% add_heatmap() -#' add_heatmap <- function(p, z = NULL, ...) { if (is.null(z <- z %||% p$x$attrs[[1]][["z"]])) { stop("Must supply `z` attribute", call. = FALSE) @@ -382,15 +350,11 @@ add_heatmap <- function(p, z = NULL, ...) { ) } -#' Contours -#' #' @inheritParams add_trace #' @rdname add_trace #' @export #' @examples -#' #' plot_ly(z = ~volcano) %>% add_contour() -#' add_contour <- function(p, z = NULL, ...) { if (is.null(z <- z %||% p$x$attrs[[1]][["z"]])) { stop("Must supply `z` attribute", call. = FALSE) @@ -401,15 +365,12 @@ add_contour <- function(p, z = NULL, ...) { ) } -#' Boxplots -#' + #' @inheritParams add_trace #' @rdname add_trace #' @export #' @examples -#' #' plot_ly(mtcars, x = ~factor(vs), y = ~mpg) %>% add_boxplot() -#' add_boxplot <- function(p, x = NULL, y = NULL, ...) { x <- x %||% p$x$attrs[[1]][["x"]] y <- y %||% p$x$attrs[[1]][["y"]] @@ -421,15 +382,12 @@ add_boxplot <- function(p, x = NULL, y = NULL, ...) { ) } -#' Surface -#' + #' @inheritParams add_trace #' @rdname add_trace #' @export #' @examples -#' #' plot_ly(z = ~volcano) %>% add_surface() -#' add_surface <- function(p, z = NULL, ...) { if (is.null(z <- z %||% p$x$attrs[[1]][["z"]])) { stop("Must supply `z` attribute", call. = FALSE) @@ -440,33 +398,26 @@ add_surface <- function(p, z = NULL, ...) { } -#' Geo -#' #' @inheritParams add_trace #' @rdname add_trace #' @export #' @examples -#' #' plot_ly() %>% add_scattergeo() -#' add_scattergeo <- function(p, ...) { add_trace_classed( p, class = "plotly_scattergeo", type = "scattergeo", ... ) } -#' Choropleths -#' + #' @inheritParams add_trace #' @rdname add_trace #' @export #' @examples -#' #' density <- state.x77[, "Population"] / state.x77[, "Area"] #' plot_ly(z = ~density) %>% #' add_choropleth(locations = state.abb, locationmode = 'USA-states') %>% #' layout(geo = list(scope = "usa")) -#' add_choropleth <- function(p, z = NULL, ...) { if (is.null(z <- z %||% p$x$attrs[[1]][["z"]])) { stop("Must supply `z` attribute", call. = FALSE) diff --git a/R/layers2traces.R b/R/layers2traces.R index 2eaa5f3497..65b0f00237 100644 --- a/R/layers2traces.R +++ b/R/layers2traces.R @@ -644,12 +644,12 @@ ribbon_dat <- function(dat) { # top-half of ribbon tmp <- dat[o, ] others <- tmp[not_used] - dat1 <- cbind(x = tmp$x, y = tmp$ymax, others) + dat1 <- cbind(x = tmp$x, y = tmp$ymin, others) dat1[n+1, ] <- cbind(x = tmp$x[n], y = tmp$ymin[n], others[n, ]) # bottom-half of ribbon tmp2 <- dat[o2, ] others2 <- tmp2[not_used] - dat2 <- cbind(x = tmp2$x, y = tmp2$ymin, others2) + dat2 <- cbind(x = tmp2$x, y = tmp2$ymax, others2) rbind(dat1, dat2) } diff --git a/R/plotly_build.R b/R/plotly_build.R index 10bc37013c..58d32aa19d 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -89,7 +89,9 @@ plotly_build.plotly <- function(p) { # gather the "built" or "evaluated" data nobs <- NROW(dat) - isVar <- vapply(x, function(attr) length(attr) == nobs, logical(1)) + attrLengths <- lengths(x) + if (nobs == 0) nobs <- max(attrLengths) + isVar <- attrLengths == nobs builtData <- data.frame(x[isVar & !names(x) %in% c("colors", "symbols", "linetypes")]) # find any groupings, so we can arrange the data now, @@ -134,7 +136,6 @@ plotly_build.plotly <- function(p) { } # if appropriate, set the mode now since we need to reference it later - attrLengths <- lengths(x) if (grepl("scatter", x$type) && is.null(x$mode)) { x$mode <- if (any(attrLengths > 20)) "lines" else "markers+lines" } @@ -463,7 +464,8 @@ map_symbol <- function(traces) { } palette <- setNames(symbols[seq_len(N)], unique(symbol)) for (i in which(nSymbols > 0)) { - traces[[i]]$marker$symbol <- as.character(palette[symbolList[[i]]]) + symbols <- as.character(palette[symbolList[[i]]]) + traces[[i]]$marker <- modify_list(list(symbol = symbols), traces[[i]]$marker) # ensure the mode is set so that the symbol is relevant if (!grepl("markers", traces[[i]]$mode %||% "")) { message("Adding markers to mode; otherwise symbol would have no effect.") @@ -497,7 +499,7 @@ map_linetype <- function(traces) { linetypes <- unique(unlist(lapply(traces, "[[", "linetypes"))) %||% validLinetypes illegalLinetypes <- setdiff(linetypes, validLinetypes) if (length(illegalLinetypes)) { - stop("The following are not valid symbol codes:\n'", + stop("The following are not valid linetype codes:\n'", paste(illegalLinetypes, collapse = "', '"), "Valid linetypes include:\n'", paste(validLinetypes, collapse = "', '"), @@ -505,11 +507,12 @@ map_linetype <- function(traces) { } palette <- setNames(linetypes[seq_len(N)], unique(linetype)) for (i in which(nLinetypes > 0)) { - traces[[i]][["line"]][["dash"]] <- as.character(palette[linetypeList[[i]]]) + dashes <- as.character(palette[linetypeList[[i]]]) + traces[[i]][["line"]] <- modify_list(list(dash = dashes), traces[[i]][["line"]]) # ensure the mode is set so that the linetype is relevant if (!grepl("lines", traces[[i]]$mode %||% "")) { message("Adding lines to mode; otherwise linetype would have no effect.") - traces[[i]]$mode <- paste0(traces[[i]]$mode, "+lines") + traces[[i]][["mode"]] <- paste0(traces[[i]][["mode"]], "+lines") } } traces diff --git a/R/shiny.R b/R/shiny.R index ca02268f42..5abb794296 100644 --- a/R/shiny.R +++ b/R/shiny.R @@ -26,7 +26,7 @@ plotlyOutput <- function(outputId, width = "100%", height = "400px") { renderPlotly <- function(expr, env = parent.frame(), quoted = FALSE) { if (!quoted) { expr <- substitute(expr) } # force quoted # https://github.com/ramnathv/htmlwidgets/issues/166#issuecomment-153000306 - expr <- call("plotly_build", expr) + #expr <- call("plotly_build", expr) shinyRenderWidget(expr, plotlyOutput, env, quoted = TRUE) } diff --git a/inst/examples/plotlyEvents/app.R b/inst/examples/plotlyEvents/app.R index 3d64c349ff..2eba3cf16d 100644 --- a/inst/examples/plotlyEvents/app.R +++ b/inst/examples/plotlyEvents/app.R @@ -1,33 +1,19 @@ library(shiny) -library(plotly) ui <- fluidPage( - radioButtons("plotType", "Plot Type:", choices = c("ggplotly", "plotly")), plotlyOutput("plot"), - verbatimTextOutput("hover"), verbatimTextOutput("click"), - verbatimTextOutput("brush"), - verbatimTextOutput("zoom") + verbatimTextOutput("brush") ) server <- function(input, output, session) { output$plot <- renderPlotly({ # use the key aesthetic/argument to help uniquely identify selected observations - key <- row.names(mtcars) - if (identical(input$plotType, "ggplotly")) { - p <- ggplot(mtcars, aes(x = mpg, y = wt, colour = factor(vs), key = key)) + - geom_point() - ggplotly(p) %>% layout(dragmode = "select") - } else { - plot_ly(mtcars, x = ~mpg, y = ~wt, key = ~key, mode = "markers") %>% - layout(dragmode = "select") - } - }) - - output$hover <- renderPrint({ - d <- event_data("plotly_hover") - if (is.null(d)) "Hover events appear here (unhover to clear)" else d + mtcars %>% + plot_ly(x = ~mpg, y = ~wt, key = row.names(mtcars)) %>% + add_markers() %>% + layout(dragmode = "select") }) output$click <- renderPrint({ @@ -40,11 +26,6 @@ server <- function(input, output, session) { if (is.null(d)) "Click and drag events (i.e., select/lasso) appear here (double-click to clear)" else d }) - output$zoom <- renderPrint({ - d <- event_data("plotly_relayout") - if (is.null(d)) "Relayout (i.e., zoom) events appear here" else d - }) - } -shinyApp(ui, server, options = list(display.mode = "showcase")) +shinyApp(ui, server) diff --git a/man/add_trace.Rd b/man/add_trace.Rd index f8186bf64f..d02ebee473 100644 --- a/man/add_trace.Rd +++ b/man/add_trace.Rd @@ -89,36 +89,6 @@ provided, arguments are evaluated using the data frame in \code{\link{plot_ly}() } \description{ Add trace(s) to a plotly visualization - -Add points to a plotly vis - -Add text to a plotly vis - -Add paths to a plotly vis - -Equivalent to \code{add_paths}, but with the x-values sorted. - -Equivalent to \link{add_ribbon} with \code{ymin} set to 0. - -Bar chart - -Histogram - -2D Histogram - -2D Histogram Contour - -Heatmaps - -Contours - -Boxplots - -Surface - -Geo - -Choropleths } \examples{ @@ -134,13 +104,11 @@ plot_ly(economics, x = ~date, y = ~uempmed) \%>\% add_markers(color = ~pop) \%>\% layout(showlegend = FALSE) - txhousing \%>\% group_by(city) \%>\% plot_ly(x = ~date, y = ~median) \%>\% add_lines(line = list(color = toRGB("black", 0.2))) - ggplot2::map_data("world", "canada") \%>\% group_by(group) \%>\% plot_ly(x = ~long, y = ~lat) \%>\% @@ -151,51 +119,29 @@ ggplot2::map_data("world", "canada") \%>\% plot_ly(economics, x = ~date) \%>\% add_ribbons(ymin = ~pce - 1e3, ymax = ~pce + 1e3) - huron <- data.frame(year = 1875:1972, level = as.vector(LakeHuron)) plot_ly(huron, x = ~year, ymax = ~level) \%>\% add_area() - - library(dplyr) mtcars \%>\% count(vs) \%>\% plot_ly(x = ~vs, y = ~n) \%>\% add_bars() - plot_ly(x = ~rnorm(100)) \%>\% add_histogram() - - plot_ly(x = ~LETTERS, y = ~LETTERS) \%>\% add_histogram2d() z <- as.matrix(table(LETTERS, LETTERS)) plot_ly(x = ~LETTERS, y = ~LETTERS, z = ~z) \%>\% add_histogram2d() - - plot_ly(MASS::geyser, x = ~waiting, y = ~duration) \%>\% add_histogram2dcontour() - - - plot_ly(z = ~volcano) \%>\% add_heatmap() - - plot_ly(z = ~volcano) \%>\% add_contour() - - plot_ly(mtcars, x = ~factor(vs), y = ~mpg) \%>\% add_boxplot() - - plot_ly(z = ~volcano) \%>\% add_surface() - - plot_ly() \%>\% add_scattergeo() - - density <- state.x77[, "Population"] / state.x77[, "Area"] plot_ly(z = ~density) \%>\% add_choropleth(locations = state.abb, locationmode = 'USA-states') \%>\% layout(geo = list(scope = "usa")) - } \author{ Carson Sievert From ced729f9c65bb43ef5602d8350553abe69ca2362 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Fri, 24 Jun 2016 09:41:26 -0700 Subject: [PATCH 66/73] fix return value of lmgadget --- inst/examples/lmGadget/app.R | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/inst/examples/lmGadget/app.R b/inst/examples/lmGadget/app.R index 18683e9782..f0ea2be846 100644 --- a/inst/examples/lmGadget/app.R +++ b/inst/examples/lmGadget/app.R @@ -34,6 +34,7 @@ lmGadget <- function(dat, x, y, key = row.names(dat)) { init <- function() { selected <- rep(FALSE, nrow(dat)) function(x) { + if (missing(x)) return(selected) selected <<- xor(selected, x) selected } @@ -64,7 +65,12 @@ lmGadget <- function(dat, x, y, key = row.names(dat)) { # Return the most recent fitted model, when we press "done" observeEvent(input$done, { - stopApp(refit()) + selected <- selection() + modelDat <- dat[!selected, ] + formula <- as.formula( + sprintf("%s ~ poly(%s, degree = %s)", as.character(y)[2], as.character(x)[2], input$degree) + ) + stopApp(lm(formula, modelDat)) }) } From b16f8b75926d7b65b9ec0cb21cf7d10b35c886bb Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Sun, 26 Jun 2016 13:15:41 -0700 Subject: [PATCH 67/73] better plotly_data() examples; use @rawNamespace to avoid unwanted S3method() in NAMESPACE --- NAMESPACE | 31 ++++++- NEWS | 4 +- R/group2NA.R | 74 ++++++++++++++++ R/imports.R | 203 +++++++++++++++++++++++++++++++++++++++++- R/plotly_data.R | 214 +++++++++++++++------------------------------ man/arrange.Rd | 9 ++ man/arrange_.Rd | 9 ++ man/distinct.Rd | 9 ++ man/distinct_.Rd | 9 ++ man/do.Rd | 9 ++ man/do_.Rd | 9 ++ man/group_by.Rd | 15 +--- man/group_by_.Rd | 9 ++ man/groups.Rd | 9 ++ man/mutate.Rd | 9 ++ man/mutate_.Rd | 9 ++ man/plotly_data.Rd | 105 +++++++++++----------- man/rename.Rd | 9 ++ man/rename_.Rd | 9 ++ man/select.Rd | 9 ++ man/select_.Rd | 9 ++ man/slice.Rd | 9 ++ man/slice_.Rd | 9 ++ man/summarise.Rd | 9 ++ man/summarise_.Rd | 9 ++ man/transmute.Rd | 9 ++ man/transmute_.Rd | 9 ++ man/ungroup.Rd | 9 ++ 28 files changed, 621 insertions(+), 214 deletions(-) create mode 100644 R/group2NA.R create mode 100644 man/arrange.Rd create mode 100644 man/arrange_.Rd create mode 100644 man/distinct.Rd create mode 100644 man/distinct_.Rd create mode 100644 man/do.Rd create mode 100644 man/do_.Rd create mode 100644 man/group_by_.Rd create mode 100644 man/groups.Rd create mode 100644 man/mutate.Rd create mode 100644 man/mutate_.Rd create mode 100644 man/rename.Rd create mode 100644 man/rename_.Rd create mode 100644 man/select.Rd create mode 100644 man/select_.Rd create mode 100644 man/slice.Rd create mode 100644 man/slice_.Rd create mode 100644 man/summarise.Rd create mode 100644 man/summarise_.Rd create mode 100644 man/transmute.Rd create mode 100644 man/transmute_.Rd create mode 100644 man/ungroup.Rd diff --git a/NAMESPACE b/NAMESPACE index 77d12284fe..6f3eb1ea1e 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -65,10 +65,16 @@ export(add_segments) export(add_surface) export(add_text) export(add_trace) +export(arrange) +export(arrange_) export(arrange_.plotly) export(as.widget) export(config) +export(distinct) +export(distinct_) export(distinct_.plotly) +export(do) +export(do_) export(embed_notebook) export(event_data) export(export) @@ -78,11 +84,15 @@ export(get_figure) export(gg2list) export(ggplotly) export(group_by) +export(group_by_) export(group_by_.plotly) +export(groups) export(groups.plotly) export(hide_colorbar) export(knit_print.plotly_figure) export(layout) +export(mutate) +export(mutate_) export(mutate_.plotly) export(offline) export(plot_ly) @@ -91,36 +101,55 @@ export(plotlyOutput) export(plotly_IMAGE) export(plotly_POST) export(plotly_build) -export(plotly_data) export(plotly_empty) export(plotly_json) +export(rename) +export(rename_) export(rename_.plotly) export(renderPlotly) export(schema) +export(select) +export(select_) export(select_.plotly) export(signup) +export(slice) +export(slice_) export(slice_.plotly) export(style) export(subplot) +export(summarise) +export(summarise_) export(summarise_.plotly) export(toRGB) export(toWebGL) export(to_basic) +export(transmute) +export(transmute_) export(transmute_.plotly) +export(ungroup) export(ungroup.plotly) import(ggplot2) importFrom(base64enc,base64encode) +importFrom(dplyr,arrange) importFrom(dplyr,arrange_) +importFrom(dplyr,distinct) importFrom(dplyr,distinct_) importFrom(dplyr,do) +importFrom(dplyr,do_) importFrom(dplyr,group_by) importFrom(dplyr,group_by_) importFrom(dplyr,groups) +importFrom(dplyr,mutate) importFrom(dplyr,mutate_) +importFrom(dplyr,rename) importFrom(dplyr,rename_) +importFrom(dplyr,select) importFrom(dplyr,select_) +importFrom(dplyr,slice) importFrom(dplyr,slice_) +importFrom(dplyr,summarise) importFrom(dplyr,summarise_) +importFrom(dplyr,transmute) importFrom(dplyr,transmute_) importFrom(dplyr,ungroup) importFrom(grDevices,col2rgb) diff --git a/NEWS b/NEWS index a16982a8f2..95ece5e79d 100644 --- a/NEWS +++ b/NEWS @@ -3,8 +3,8 @@ BREAKING CHANGES & IMPROVEMENTS: * Formulas (instead of plain expressions) are now required when using variable mappings. For example, `plot_ly(mtcars, x = wt, y = mpg, color = vs)` should now be `plot_ly(mtcars, x = ~wt, y = ~mpg, color = ~vs)`. This is a major breaking change, but it is necessary to ensure that evaluation is correct in all contexts (as a result, `evaluate` argument is now deprecated as it is no longer needed). It also has the benefit of being easier to program with (i.e., writing your own custom functions that wrap `plot_ly()`). For more details, see the [lazyeval vignette](https://github.com/hadley/lazyeval/blob/master/vignettes/lazyeval.Rmd) -* The data structure used to represent plotly objects is now an htmlwidget object (instead of a data frame with a special attribute tracking visual mappings). As a result, the `as.widget()` function has been deprecated, and [serialization/memory leak problems](https://github.com/rstudio/shiny/issues/1151) are no longer an issue. This change also implies that arbitrary data manipulation functions can no longer be intermingled inside a plot pipeline, but plotly methods for dplyr's data manipulation verbs are now provided (see `help("plotly-data")` for examples). -* The `group` variable mapping no longer create multiple traces, but instead defines "gaps" within a trace (fixes #418, #381, #577). Groupings should be declared via the new `group_by()` function (see `help("plotly-data")` for examples) instead of the `group` argument (which is now deprecated). +* The data structure used to represent plotly objects is now an htmlwidget object (instead of a data frame with a special attribute tracking visual mappings). As a result, the `as.widget()` function has been deprecated, and [serialization/memory leak problems](https://github.com/rstudio/shiny/issues/1151) are no longer an issue. This change also implies that arbitrary data manipulation functions can no longer be intermingled inside a plot pipeline, but plotly methods for dplyr's data manipulation verbs are now provided (see `?plotly_data` for examples). +* The `group` variable mapping no longer create multiple traces, but instead defines "gaps" within a trace (fixes #418, #381, #577). Groupings should be declared via the new `group_by()` function (see `help(plotly_data)` for examples) instead of the `group` argument (which is now deprecated). * `plot_ly()` now _initializes_ a plotly object (i.e., won't add a scatter trace by default), meaning that something like `plot_ly(x = 1:10, y = 1:10) %>% add_trace(y = 10:1)` will create one trace, instead of two. However, `plot_ly()` will draw a trace if you manually specify a trace type, for example, `plot_ly(x = 1:10, y = 1:10, type = "scatter") %>% add_trace(y = 10:1)` will draw two scatter traces. If no trace type is provided, a sensible type is inferred from the supplied data, and automatically added (i.e., `plot_ly(x = rnorm(100))` now creates a histogram). * The `inherit` argument is deprecated. Any arguments/attributes specified in `plot_ly()` will automatically be passed along to additional traces added via `add_trace()` (or any of it's `add_*()` siblings). * Scales for variable mappings (such as `color`, `symbol`, `linetype`) are now applied at the plot-level instead of the trace level. For this reason, the range of these scales (`colors`/`symbols`/`linetypes`) should be specified in `plot_ly()`, instead of `add_trace()` or any of it's `add_*()` siblings. diff --git a/R/group2NA.R b/R/group2NA.R new file mode 100644 index 0000000000..f49efc9510 --- /dev/null +++ b/R/group2NA.R @@ -0,0 +1,74 @@ + +# Insert missing values to create trace groupings +# +# If a group of traces share the same non-positional characteristics (i.e., +# color, fill, etc), it is more efficient to draw them as a single trace +# with missing values that separate the groups (instead of multiple traces). +# This is a helper function for inserting missing values into a data set +# +# @param data a data frame. +# @param groupNames name(s) of the grouping variable(s) as a character vector +# @param nested other variables that group should be nested +# (i.e., ordered) within. +# @param ordered a variable to arrange by (within nested & groupNames). This +# is useful primarily for ordering by x +# @param retrace.first should the first row of each group be appended to the +# last row? This is useful for enclosing polygons with lines. +# @examples +# +# group2NA(mtcars, "vs", "cyl") +# +# elong <- tidyr::gather(economics, variable, value, -date) +# plot_ly(group2NA(elong, "variable"), x = ~date, y = ~value) +# + +group2NA <- function(data, groupNames = "group", nested = NULL, ordered = NULL, + retrace.first = inherits(data, "GeomPolygon")) { + if (NROW(data) == 0) return(data) + # a few workarounds since dplyr clobbers classes that we rely on in ggplotly + retrace <- force(retrace.first) + datClass <- class(data) + + # sanitize variable names + groupNames <- groupNames[groupNames %in% names(data)] + nested <- nested[nested %in% names(data)] + ordered <- ordered[ordered %in% names(data)] + # ignore any already existing groups + data <- dplyr::ungroup(data) + + # if group doesn't exist, just arrange before returning + if (!length(groupNames)) { + if (length(ordered)) { + data <- dplyr::arrange_(data, c(nested, ordered)) + } + return(data) + } + allVars <- c(nested, groupNames, ordered) + for (i in allVars) { + data <- dplyr::group_by_(data, i, add = TRUE) + } + # first, arrange everything + data <- dplyr::do(data, dplyr::arrange_(., allVars)) + data <- dplyr::ungroup(data) + for (i in c(nested, groupNames)) { + data <- dplyr::group_by_(data, i, add = TRUE) + } + d <- if (retrace.first) { + dplyr::do(data, rbind(., .[1,], NA)) + } else { + dplyr::do(data, rbind(., NA)) + } + # TODO: how to drop the NAs separating the nested values? Does it even matter? + # d <- dplyr::ungroup(d) + # for (i in nested) { + # d <- dplyr::group_by_(dplyr::ungroup(d), i, add = TRUE) + # } + # d <- dplyr::do(d, .[seq_len(NROW(.)),]) + n <- NROW(d) + if (all(is.na(d[n, ]))) d <- d[-n, ] + structure(d, class = datClass) +} + + +# to appease R CMD check (currently we reference '.' in group2NA) +utils::globalVariables(".") diff --git a/R/imports.R b/R/imports.R index 88d1bea9e5..8086febfcb 100644 --- a/R/imports.R +++ b/R/imports.R @@ -4,10 +4,211 @@ #' @importFrom utils getFromNamespace modifyList data packageVersion browseURL #' @importFrom stats setNames complete.cases quantile #' @importFrom tidyr gather gather_ unnest -#' @importFrom dplyr mutate_ summarise_ select_ arrange_ group_by_ distinct_ slice_ rename_ transmute_ do groups ungroup #' @importFrom viridisLite viridis #' @importFrom jsonlite toJSON fromJSON #' @importFrom httr GET POST PATCH content config add_headers stop_for_status #' @importFrom htmlwidgets createWidget sizingPolicy saveWidget #' @importFrom lazyeval f_eval is_formula all_dots is_lang NULL + +# ------------------------------------------------------------------ +# Import dplyr generics and re-export them +# ------------------------------------------------------------------ + +#' Add new variables. +#' +#' See \link[dplyr]{mutate}. +#' +#' @importFrom dplyr mutate +#' @name mutate +#' @export +NULL + +#' Add new variables. +#' +#' See \link[dplyr]{mutate_}. +#' +#' @importFrom dplyr mutate_ +#' @name mutate_ +#' @export +NULL + +#' Add new variables. +#' +#' See \link[dplyr]{transmute}. +#' +#' @importFrom dplyr transmute +#' @name transmute +#' @export +NULL + +#' Add new variables. +#' +#' See \link[dplyr]{transmute_}. +#' +#' @importFrom dplyr transmute_ +#' @name transmute_ +#' @export +NULL + +#' Select/rename variables by name. +#' +#' See \link[dplyr]{select}. +#' +#' @importFrom dplyr select +#' @name select +#' @export +NULL + +#' Select/rename variables by name. +#' +#' See \link[dplyr]{select_}. +#' +#' @importFrom dplyr select_ +#' @name select_ +#' @export +NULL + +#' Select/rename variables by name. +#' +#' See \link[dplyr]{rename}. +#' +#' @importFrom dplyr rename +#' @name rename +#' @export +NULL + +#' Select/rename variables by name. +#' +#' See \link[dplyr]{rename_}. +#' +#' @importFrom dplyr rename_ +#' @name rename_ +#' @export +NULL + +#' Group a tbl by one or more variables. +#' +#' See \link[dplyr]{group_by}. +#' +#' @importFrom dplyr group_by +#' @name group_by +#' @export +NULL + +#' Group a tbl by one or more variables. +#' +#' See \link[dplyr]{group_by}. +#' +#' @importFrom dplyr group_by_ +#' @name group_by_ +#' @export +NULL + +#' Get/set the grouping variables for tbl. +#' +#' See \link[dplyr]{groups}. +#' +#' @importFrom dplyr groups +#' @name groups +#' @export +NULL + +#' Get/set the grouping variables for tbl. +#' +#' See \link[dplyr]{ungroup}. +#' +#' @importFrom dplyr ungroup +#' @name ungroup +#' @export +NULL + +#' Summarise multiple values to a single value. +#' +#' See \link[dplyr]{summarise}. +#' +#' @importFrom dplyr summarise +#' @name summarise +#' @export +NULL + +#' Summarise multiple values to a single value. +#' +#' See \link[dplyr]{summarise_}. +#' +#' @importFrom dplyr summarise_ +#' @name summarise_ +#' @export +NULL + +#' Do arbitrary operations on a tbl. +#' +#' See \link[dplyr]{do}. +#' +#' @importFrom dplyr do +#' @name do +#' @export +NULL + +#' Do arbitrary operations on a tbl. +#' +#' See \link[dplyr]{do_}. +#' +#' @importFrom dplyr do_ +#' @name do_ +#' @export +NULL + +#' Arrange rows by variables. +#' +#' See \link[dplyr]{arrange}. +#' +#' @importFrom dplyr arrange +#' @name arrange +#' @export +NULL + +#' Arrange rows by variables. +#' +#' See \link[dplyr]{arrange_}. +#' +#' @importFrom dplyr arrange_ +#' @name arrange_ +#' @export +NULL + +#' Select distinct/unique rows. +#' +#' See \link[dplyr]{distinct}. +#' +#' @importFrom dplyr distinct +#' @name distinct +#' @export +NULL + +#' Select distinct/unique rows. +#' +#' See \link[dplyr]{distinct_}. +#' +#' @importFrom dplyr distinct_ +#' @name distinct_ +#' @export +NULL + +#' Select rows by position. +#' +#' See \link[dplyr]{slice}. +#' +#' @importFrom dplyr slice +#' @name slice +#' @export +NULL + +#' Select rows by position. +#' +#' See \link[dplyr]{slice_}. +#' +#' @importFrom dplyr slice_ +#' @name slice_ +#' @export +NULL diff --git a/R/plotly_data.R b/R/plotly_data.R index 80c348fbbe..a5abfd757e 100644 --- a/R/plotly_data.R +++ b/R/plotly_data.R @@ -1,217 +1,141 @@ -#' Divide data into groups. +#' Obtain data associated with a plotly graph #' -#' @param x a visualisation -#' @param ... variables to group by. -#' @param add By default, when \code{add = FALSE}, \code{group_by} will -#' override existing groups. To instead add to the existing groups, -#' use \code{add = TRUE} -#' @importFrom dplyr group_by -#' @name group_by -#' @export -NULL - - -#' View and manipulate data associated with a plotly graph -#' -#' \code{plotly_data()} returns the data associated with -#' a plotly visualization. This data can be manipulated via -#' the dplyr and tidyr verbs listed below: +#' \code{plotly_data()} returns data associated with +#' a plotly visualization (if there are multiple data frames, by default, +#' it returns the most recent one). #' -#' -#' @name plotly_data -#' @keywords internal +#' @param p a plotly visualization +#' @param id a character string or number referencing an "attribute layer". +#' @return returns a data frame #' @examples #' -#' # loading dplyr is super important! -#' library(dplyr) +#' # use group_by() to define groups of visual markings +#' p <- txhousing %>% +#' group_by(city) %>% +#' plot_ly(x = ~date, y = ~sales) +#' p #' -#' mtcars %>% -#' plot_ly(x = ~wt, y = ~mpg, name = "scatter trace") %>% -#' filter(cyl == 4) %>% -#' add_markers(x = ~wt, y = ~mpg, name = "filtered points", -#' marker = list(color = "red")) -#' -#' library(tidyr) -#' economics %>% -#' gather(variable, value, -date) %>% -#' group_by(variable) %>% -#' plot_ly(x = ~date, y = ~value) +#' # plotly objects preserve data groupings +#' groups(p) +#' plotly_data(p) +#' +#' # dplyr verbs operate on plotly objects as if they were data frames +#' p <- economics %>% +#' plot_ly(x = ~date, y = ~unemploy / pop) %>% +#' add_lines() %>% +#' mutate(rate = unemploy / pop) %>% +#' filter(rate == max(rate)) +#' plotly_data(p) +#' add_markers(p) +#' layout(p, annotations = list(x = ~date, y = ~rate, text = "peak")) +#' +#' # use group_by() + do() + subplot() for trellis displays +#' d <- group_by(mpg, drv) +#' plots <- do(d, p = plot_ly(., x = ~cty, name = ~drv)) +#' subplot(plots[["p"]], nrows = 3, shareX = TRUE) +#' +#' # arrange displays by their mean +#' means <- summarise(d, mn = mean(cty, na.rm = TRUE)) +#' means %>% +#' left_join(plots) %>% +#' arrange(mn) %>% +#' .[["p"]] %>% +#' subplot(nrows = NROW(.), shareX = TRUE) #' -NULL - -#' @export -#' @rdname plotly_data +#' # more dplyr verbs applied to plotly objects +#' p <- mtcars %>% +#' plot_ly(x = ~wt, y = ~mpg, name = "scatter trace") %>% +#' add_markers() +#' p %>% slice(1) %>% plotly_data() +#' p %>% slice(1) %>% add_markers(name = "first observation") +#' p %>% filter(cyl == 4) %>% plotly_data() +#' p %>% filter(cyl == 4) %>% add_markers(name = "four cylinders") +#' +#' plotly_data <- function(p, id = p$x$cur_data) { f <- p$x$visdat[[id]] - # if data has been specified, this should be a closure that, when called + # if data has been specified, f should be a closure that, when called, # returns data if (is.function(f)) return(f()) data.frame() } -#' @export -#' @rdname plotly_data +#' @rawNamespace export(groups.plotly) groups.plotly <- function(x) { dplyr::groups(plotly_data(x)) } -#' @export -#' @rdname plotly_data +#' @rawNamespace export(ungroup.plotly) +ungroup.plotly <- function(x) { + dplyr::ungroup(plotly_data(x)) +} + +#' @rawNamespace export(group_by_.plotly) group_by_.plotly <- function(.data, ..., .dots, add = FALSE) { d <- plotly_data(.data) d <- dplyr::group_by_(d, .dots = lazyeval::all_dots(.dots, ...), add = add) - # TODO: where to use group2NA? In plotly_build() add_data(.data, d) } -#' @export -#' @rdname plotly_data -ungroup.plotly <- function(x) { - dplyr::ungroup(plotly_data(x)) -} - -#' @rdname plotly_data -#' @export +#' @rawNamespace export(summarise_.plotly) summarise_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) d <- dplyr::summarise_(d, .dots = lazyeval::all_dots(.dots, ...)) add_data(.data, d) } -#' @rdname plotly_data -#' @export +#' @rawNamespace export(mutate_.plotly) mutate_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) d <- dplyr::mutate_(d, .dots = lazyeval::all_dots(.dots, ...)) add_data(.data, d) } -#' @rdname plotly_data -#' @export +#' @rawNamespace export(arrange_.plotly) arrange_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) d <- dplyr::arrange_(d, .dots = lazyeval::all_dots(.dots, ...)) add_data(.data, d) } -#' @rdname plotly_data -#' @export +#' @rawNamespace export(select_.plotly) select_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) d <- dplyr::select_(d, .dots = lazyeval::all_dots(.dots, ...)) add_data(.data, d) } -#' @rdname plotly_data -#' @export +#' @rawNamespace export(filter_.plotly) filter_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) d <- dplyr::filter_(d, .dots = lazyeval::all_dots(.dots, ...)) add_data(.data, d) } -#' @rdname plotly_data -#' @export +#' @rawNamespace export(distinct_.plotly) distinct_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) - d <- dplyr::distinct_(d, ..., .dots) + d <- dplyr::distinct_(d, .dots = lazyeval::all_dots(.dots, ...)) add_data(.data, d) } -#' @rdname plotly_data -#' @export +#' @rawNamespace export(slice_.plotly) slice_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) - d <- dplyr::slice_(d, ..., .dots) + d <- dplyr::slice_(d, .dots = lazyeval::all_dots(.dots, ...)) add_data(.data, d) } -#' @rdname plotly_data -#' @export +#' @rawNamespace export(rename_.plotly) rename_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) - d <- dplyr::rename_(d, ..., .dots) + d <- dplyr::rename_(d, .dots = lazyeval::all_dots(.dots, ...)) add_data(.data, d) } -#' @rdname plotly_data -#' @export +#' @rawNamespace export(transmute_.plotly) transmute_.plotly <- function(.data, ..., .dots) { d <- plotly_data(.data) - d <- dplyr::transmute_(d, ..., .dots) + d <- dplyr::transmute_(d, .dots = lazyeval::all_dots(.dots, ...)) add_data(.data, d) } - -# Insert missing values to create trace groupings -# -# If a group of traces share the same non-positional characteristics (i.e., -# color, fill, etc), it is more efficient to draw them as a single trace -# with missing values that separate the groups (instead of multiple traces). -# This is a helper function for inserting missing values into a data set -# -# @param data a data frame. -# @param groupNames name(s) of the grouping variable(s) as a character vector -# @param nested other variables that group should be nested -# (i.e., ordered) within. -# @param ordered a variable to arrange by (within nested & groupNames). This -# is useful primarily for ordering by x -# @param retrace.first should the first row of each group be appended to the -# last row? This is useful for enclosing polygons with lines. -# @examples -# -# group2NA(mtcars, "vs", "cyl") -# -# elong <- tidyr::gather(economics, variable, value, -date) -# plot_ly(group2NA(elong, "variable"), x = ~date, y = ~value) -# - -group2NA <- function(data, groupNames = "group", nested = NULL, ordered = NULL, - retrace.first = inherits(data, "GeomPolygon")) { - if (NROW(data) == 0) return(data) - # a few workarounds since dplyr clobbers classes that we rely on in ggplotly - retrace <- force(retrace.first) - datClass <- class(data) - - # sanitize variable names - groupNames <- groupNames[groupNames %in% names(data)] - nested <- nested[nested %in% names(data)] - ordered <- ordered[ordered %in% names(data)] - # ignore any already existing groups - data <- dplyr::ungroup(data) - - # if group doesn't exist, just arrange before returning - if (!length(groupNames)) { - if (length(ordered)) { - data <- dplyr::arrange_(data, c(nested, ordered)) - } - return(data) - } - allVars <- c(nested, groupNames, ordered) - for (i in allVars) { - data <- dplyr::group_by_(data, i, add = TRUE) - } - # first, arrange everything - data <- dplyr::do(data, dplyr::arrange_(., allVars)) - data <- dplyr::ungroup(data) - for (i in c(nested, groupNames)) { - data <- dplyr::group_by_(data, i, add = TRUE) - } - d <- if (retrace.first) { - dplyr::do(data, rbind(., .[1,], NA)) - } else { - dplyr::do(data, rbind(., NA)) - } - # TODO: how to drop the NAs separating the nested values? Does it even matter? - # d <- dplyr::ungroup(d) - # for (i in nested) { - # d <- dplyr::group_by_(dplyr::ungroup(d), i, add = TRUE) - # } - # d <- dplyr::do(d, .[seq_len(NROW(.)),]) - n <- NROW(d) - if (all(is.na(d[n, ]))) d <- d[-n, ] - structure(d, class = datClass) -} - - -# to appease R CMD check (currently we reference '.' in group2NA) -utils::globalVariables(".") diff --git a/man/arrange.Rd b/man/arrange.Rd new file mode 100644 index 0000000000..a9b31cbeb1 --- /dev/null +++ b/man/arrange.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{arrange} +\alias{arrange} +\title{Arrange rows by variables.} +\description{ +See \link[dplyr]{arrange}. +} + diff --git a/man/arrange_.Rd b/man/arrange_.Rd new file mode 100644 index 0000000000..531364e7c4 --- /dev/null +++ b/man/arrange_.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{arrange_} +\alias{arrange_} +\title{Arrange rows by variables.} +\description{ +See \link[dplyr]{arrange_}. +} + diff --git a/man/distinct.Rd b/man/distinct.Rd new file mode 100644 index 0000000000..545e331acf --- /dev/null +++ b/man/distinct.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{distinct} +\alias{distinct} +\title{Select distinct/unique rows.} +\description{ +See \link[dplyr]{distinct}. +} + diff --git a/man/distinct_.Rd b/man/distinct_.Rd new file mode 100644 index 0000000000..9e6485b3d4 --- /dev/null +++ b/man/distinct_.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{distinct_} +\alias{distinct_} +\title{Select distinct/unique rows.} +\description{ +See \link[dplyr]{distinct_}. +} + diff --git a/man/do.Rd b/man/do.Rd new file mode 100644 index 0000000000..0da033a893 --- /dev/null +++ b/man/do.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{do} +\alias{do} +\title{Do arbitrary operations on a tbl.} +\description{ +See \link[dplyr]{do}. +} + diff --git a/man/do_.Rd b/man/do_.Rd new file mode 100644 index 0000000000..fad75fc292 --- /dev/null +++ b/man/do_.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{do_} +\alias{do_} +\title{Do arbitrary operations on a tbl.} +\description{ +See \link[dplyr]{do_}. +} + diff --git a/man/group_by.Rd b/man/group_by.Rd index c2cb5f39e0..2110f11730 100644 --- a/man/group_by.Rd +++ b/man/group_by.Rd @@ -1,18 +1,9 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/plotly_data.R +% Please edit documentation in R/imports.R \name{group_by} \alias{group_by} -\title{Divide data into groups.} -\arguments{ -\item{x}{a visualisation} - -\item{...}{variables to group by.} - -\item{add}{By default, when \code{add = FALSE}, \code{group_by} will -override existing groups. To instead add to the existing groups, -use \code{add = TRUE}} -} +\title{Group a tbl by one or more variables.} \description{ -Divide data into groups. +See \link[dplyr]{group_by}. } diff --git a/man/group_by_.Rd b/man/group_by_.Rd new file mode 100644 index 0000000000..acfbe1b371 --- /dev/null +++ b/man/group_by_.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{group_by_} +\alias{group_by_} +\title{Group a tbl by one or more variables.} +\description{ +See \link[dplyr]{group_by}. +} + diff --git a/man/groups.Rd b/man/groups.Rd new file mode 100644 index 0000000000..1ed0ffbd93 --- /dev/null +++ b/man/groups.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{groups} +\alias{groups} +\title{Get/set the grouping variables for tbl.} +\description{ +See \link[dplyr]{groups}. +} + diff --git a/man/mutate.Rd b/man/mutate.Rd new file mode 100644 index 0000000000..2dc90edbd6 --- /dev/null +++ b/man/mutate.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{mutate} +\alias{mutate} +\title{Add new variables.} +\description{ +See \link[dplyr]{mutate}. +} + diff --git a/man/mutate_.Rd b/man/mutate_.Rd new file mode 100644 index 0000000000..3efada1894 --- /dev/null +++ b/man/mutate_.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{mutate_} +\alias{mutate_} +\title{Add new variables.} +\description{ +See \link[dplyr]{mutate_}. +} + diff --git a/man/plotly_data.Rd b/man/plotly_data.Rd index d45f8732ac..064ed70362 100644 --- a/man/plotly_data.Rd +++ b/man/plotly_data.Rd @@ -1,69 +1,68 @@ % Generated by roxygen2: do not edit by hand % Please edit documentation in R/plotly_data.R \name{plotly_data} -\alias{arrange_.plotly} -\alias{distinct_.plotly} -\alias{filter_.plotly} -\alias{group_by_.plotly} -\alias{groups.plotly} -\alias{mutate_.plotly} \alias{plotly_data} -\alias{rename_.plotly} -\alias{select_.plotly} -\alias{slice_.plotly} -\alias{summarise_.plotly} -\alias{transmute_.plotly} -\alias{ungroup.plotly} -\title{View and manipulate data associated with a plotly graph} +\title{Obtain data associated with a plotly graph} \usage{ plotly_data(p, id = p$x$cur_data) +} +\arguments{ +\item{p}{a plotly visualization} -groups.plotly(x) - -group_by_.plotly(.data, ..., .dots, add = FALSE) - -ungroup.plotly(x) - -summarise_.plotly(.data, ..., .dots) - -mutate_.plotly(.data, ..., .dots) - -arrange_.plotly(.data, ..., .dots) - -select_.plotly(.data, ..., .dots) - -filter_.plotly(.data, ..., .dots) - -distinct_.plotly(.data, ..., .dots) - -slice_.plotly(.data, ..., .dots) - -rename_.plotly(.data, ..., .dots) - -transmute_.plotly(.data, ..., .dots) +\item{id}{a character string or number referencing an "attribute layer".} +} +\value{ +returns a data frame } \description{ -\code{plotly_data()} returns the data associated with -a plotly visualization. This data can be manipulated via -the dplyr and tidyr verbs listed below: +\code{plotly_data()} returns data associated with +a plotly visualization (if there are multiple data frames, by default, +it returns the most recent one). } \examples{ -# loading dplyr is super important! -library(dplyr) +# use group_by() to define groups of visual markings +p <- txhousing \%>\% + group_by(city) \%>\% + plot_ly(x = ~date, y = ~sales) +p -mtcars \%>\% - plot_ly(x = ~wt, y = ~mpg, name = "scatter trace") \%>\% - filter(cyl == 4) \%>\% - add_markers(x = ~wt, y = ~mpg, name = "filtered points", - marker = list(color = "red")) - -library(tidyr) -economics \%>\% - gather(variable, value, -date) \%>\% - group_by(variable) \%>\% - plot_ly(x = ~date, y = ~value) +# plotly objects preserve data groupings +groups(p) +plotly_data(p) + +# dplyr verbs operate on plotly objects as if they were data frames +p <- economics \%>\% + plot_ly(x = ~date, y = ~unemploy / pop) \%>\% + add_lines() \%>\% + mutate(rate = unemploy / pop) \%>\% + filter(rate == max(rate)) +plotly_data(p) +add_markers(p) +layout(p, annotations = list(x = ~date, y = ~rate, text = "peak")) + +# use group_by() + do() + subplot() for trellis displays +d <- group_by(mpg, drv) +plots <- do(d, p = plot_ly(., x = ~cty, name = ~drv)) +subplot(plots[["p"]], nrows = 3, shareX = TRUE) + +# arrange displays by their mean +means <- summarise(d, mn = mean(cty, na.rm = TRUE)) +means \%>\% + left_join(plots) \%>\% + arrange(mn) \%>\% + .[["p"]] \%>\% + subplot(nrows = NROW(.), shareX = TRUE) +# more dplyr verbs applied to plotly objects +p <- mtcars \%>\% + plot_ly(x = ~wt, y = ~mpg, name = "scatter trace") \%>\% + add_markers() +p \%>\% slice(1) \%>\% plotly_data() +p \%>\% slice(1) \%>\% add_markers(name = "first observation") +p \%>\% filter(cyl == 4) \%>\% plotly_data() +p \%>\% filter(cyl == 4) \%>\% add_markers(name = "four cylinders") + + } -\keyword{internal} diff --git a/man/rename.Rd b/man/rename.Rd new file mode 100644 index 0000000000..451f1cefa8 --- /dev/null +++ b/man/rename.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{rename} +\alias{rename} +\title{Select/rename variables by name.} +\description{ +See \link[dplyr]{rename}. +} + diff --git a/man/rename_.Rd b/man/rename_.Rd new file mode 100644 index 0000000000..6fcaba4005 --- /dev/null +++ b/man/rename_.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{rename_} +\alias{rename_} +\title{Select/rename variables by name.} +\description{ +See \link[dplyr]{rename_}. +} + diff --git a/man/select.Rd b/man/select.Rd new file mode 100644 index 0000000000..65de1e2e7d --- /dev/null +++ b/man/select.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{select} +\alias{select} +\title{Select/rename variables by name.} +\description{ +See \link[dplyr]{select}. +} + diff --git a/man/select_.Rd b/man/select_.Rd new file mode 100644 index 0000000000..4b078e32bb --- /dev/null +++ b/man/select_.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{select_} +\alias{select_} +\title{Select/rename variables by name.} +\description{ +See \link[dplyr]{select_}. +} + diff --git a/man/slice.Rd b/man/slice.Rd new file mode 100644 index 0000000000..652cd3cf25 --- /dev/null +++ b/man/slice.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{slice} +\alias{slice} +\title{Select rows by position.} +\description{ +See \link[dplyr]{slice}. +} + diff --git a/man/slice_.Rd b/man/slice_.Rd new file mode 100644 index 0000000000..553f2155b6 --- /dev/null +++ b/man/slice_.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{slice_} +\alias{slice_} +\title{Select rows by position.} +\description{ +See \link[dplyr]{slice_}. +} + diff --git a/man/summarise.Rd b/man/summarise.Rd new file mode 100644 index 0000000000..697e77b456 --- /dev/null +++ b/man/summarise.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{summarise} +\alias{summarise} +\title{Summarise multiple values to a single value.} +\description{ +See \link[dplyr]{summarise}. +} + diff --git a/man/summarise_.Rd b/man/summarise_.Rd new file mode 100644 index 0000000000..9566370289 --- /dev/null +++ b/man/summarise_.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{summarise_} +\alias{summarise_} +\title{Summarise multiple values to a single value.} +\description{ +See \link[dplyr]{summarise_}. +} + diff --git a/man/transmute.Rd b/man/transmute.Rd new file mode 100644 index 0000000000..c926663a6e --- /dev/null +++ b/man/transmute.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{transmute} +\alias{transmute} +\title{Add new variables.} +\description{ +See \link[dplyr]{transmute}. +} + diff --git a/man/transmute_.Rd b/man/transmute_.Rd new file mode 100644 index 0000000000..3cf7168f78 --- /dev/null +++ b/man/transmute_.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{transmute_} +\alias{transmute_} +\title{Add new variables.} +\description{ +See \link[dplyr]{transmute_}. +} + diff --git a/man/ungroup.Rd b/man/ungroup.Rd new file mode 100644 index 0000000000..16afe0109f --- /dev/null +++ b/man/ungroup.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{ungroup} +\alias{ungroup} +\title{Get/set the grouping variables for tbl.} +\description{ +See \link[dplyr]{ungroup}. +} + From 522224c9979b833ad40682a409c280b7c6ca3db9 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Tue, 28 Jun 2016 11:25:40 -0700 Subject: [PATCH 68/73] export filter --- NAMESPACE | 4 ++++ R/helpers.R | 3 +++ R/imports.R | 18 ++++++++++++++++++ man/filter.Rd | 9 +++++++++ man/filter_.Rd | 9 +++++++++ 5 files changed, 43 insertions(+) create mode 100644 man/filter.Rd create mode 100644 man/filter_.Rd diff --git a/NAMESPACE b/NAMESPACE index 6f3eb1ea1e..41c87a4e27 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -78,6 +78,8 @@ export(do_) export(embed_notebook) export(event_data) export(export) +export(filter) +export(filter_) export(filter_.plotly) export(geom2trace) export(get_figure) @@ -136,6 +138,8 @@ importFrom(dplyr,distinct) importFrom(dplyr,distinct_) importFrom(dplyr,do) importFrom(dplyr,do_) +importFrom(dplyr,filter) +importFrom(dplyr,filter_) importFrom(dplyr,group_by) importFrom(dplyr,group_by_) importFrom(dplyr,groups) diff --git a/R/helpers.R b/R/helpers.R index 94f7e03723..68d1c1d070 100644 --- a/R/helpers.R +++ b/R/helpers.R @@ -32,6 +32,9 @@ hide_colorbar <- function(p) { #' toWebGL(qplot(1:10, 1:10)) #' toWebGL <- function(p) { + if (ggplot2::is.ggplot(p)) { + p <- plotly_build(p) + } p$x$.plotlyWebGl <- TRUE p } diff --git a/R/imports.R b/R/imports.R index 8086febfcb..55981b9ec6 100644 --- a/R/imports.R +++ b/R/imports.R @@ -212,3 +212,21 @@ NULL #' @name slice_ #' @export NULL + +#' Return rows with matching conditions. +#' +#' See \link[dplyr]{filter}. +#' +#' @importFrom dplyr filter +#' @name filter +#' @export +NULL + +#' Return rows with matching conditions. +#' +#' See \link[dplyr]{filter_asw}. +#' +#' @importFrom dplyr filter_ +#' @name filter_ +#' @export +NULL diff --git a/man/filter.Rd b/man/filter.Rd new file mode 100644 index 0000000000..c7ad44660e --- /dev/null +++ b/man/filter.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{filter} +\alias{filter} +\title{Return rows with matching conditions.} +\description{ +See \link[dplyr]{filter}. +} + diff --git a/man/filter_.Rd b/man/filter_.Rd new file mode 100644 index 0000000000..cf52143354 --- /dev/null +++ b/man/filter_.Rd @@ -0,0 +1,9 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/imports.R +\name{filter_} +\alias{filter_} +\title{Return rows with matching conditions.} +\description{ +See \link[dplyr]{filter_asw}. +} + From 3e3e881626f4c2ea86de49fc35694038c616e999 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Wed, 29 Jun 2016 16:22:05 -0700 Subject: [PATCH 69/73] a few half-baked ideas for fill/stroke/alpha shortcuts --- R/add.R | 39 ++++++++++++++++++++++++------- R/plotly_build.R | 3 ++- man/add_trace.Rd | 9 ++++++- tests/testthat/test-plotly-data.R | 21 +++++++++++++++++ tests/testthat/test-plotly.R | 4 ---- 5 files changed, 62 insertions(+), 14 deletions(-) create mode 100644 tests/testthat/test-plotly-data.R diff --git a/R/add.R b/R/add.R index aebb709903..7736066b19 100644 --- a/R/add.R +++ b/R/add.R @@ -84,15 +84,27 @@ add_trace <- function(p, ..., #' @inheritParams add_trace #' @rdname add_trace +#' @param fill fill color. Supplies defaults for +#' \url{https://plot.ly/r/reference/#scatter-marker-color} +#' @param stroke stroke color. Supplies defaults for +#' \url{https://plot.ly/r/reference/#scatter-marker-line-color} +#' @param alpha alpha channel for fill/stroke (on 0-1 scale). #' @export -add_markers <- function(p, x = NULL, y = NULL, ...) { +add_markers <- function(p, x = NULL, y = NULL, fill = "rgba(31, 119, 180, 1)", + stroke = "rgba(31, 119, 180, 1)", alpha = 1, ...) { if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { stop("Must supply `x` attribute", call. = FALSE) } if (is.null(y <- y %||% p$x$attrs[[1]][["y"]])) { stop("Must supply `y` attribute", call. = FALSE) } - add_trace(p, x = x, y = y, type = "scatter", mode = "markers", ...) + # TODO: should stroke/fill inherit from the top-level? + marker <- modify_list(p$x$attrs[[1]][["marker"]], list(...)[["marker"]]) + marker <- modify_list(marker, list(color = toRGB(fill, alpha))) + marker$line <- modify_list(marker$line, list(color = toRGB(stroke, alpha))) + add_trace( + p, x = x, y = y, marker = marker, type = "scatter", mode = "markers", ... + ) } @@ -135,16 +147,20 @@ add_paths <- function(p, x = NULL, y = NULL, ...) { #' txhousing %>% #' group_by(city) %>% #' plot_ly(x = ~date, y = ~median) %>% -#' add_lines(line = list(color = toRGB("black", 0.2))) -add_lines <- function(p, x = NULL, y = NULL, ...) { +#' add_lines(fill = "black") +add_lines <- function(p, x = NULL, y = NULL, stroke = NULL, alpha = 1, ...) { if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { stop("Must supply `x` attribute", call. = FALSE) } if (is.null(y <- y %||% p$x$attrs[[1]][["y"]])) { stop("Must supply `y` attribute", call. = FALSE) } + + line <- modify_list(p$x$attrs[[1]][["line"]], list(...)[["line"]]) + line <- modify_list(line, list(color = toRGB(stroke, alpha))) + add_trace_classed( - p, x = x, y = y, class = "plotly_line", type = "scatter", mode = "lines", ... + p, x = x, y = y, line = line, class = "plotly_line", type = "scatter", mode = "lines", ... ) } @@ -207,7 +223,9 @@ add_polygons <- function(p, x = NULL, y = NULL, ...) { #' plot_ly(economics, x = ~date) %>% #' add_ribbons(ymin = ~pce - 1e3, ymax = ~pce + 1e3) -add_ribbons <- function(p, x = NULL, ymin = NULL, ymax = NULL, ...) { +add_ribbons <- function(p, x = NULL, ymin = NULL, ymax = NULL, + fill = "rgba(31, 119, 180, 1)", + stroke = "transparent", alpha = 1, ...) { if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { stop("Must supply `x` attribute", call. = FALSE) } @@ -217,10 +235,15 @@ add_ribbons <- function(p, x = NULL, ymin = NULL, ymax = NULL, ...) { if (is.null(ymax <- ymax %||% p$x$attrs[[1]][["ymax"]])) { stop("Must supply `ymax` attribute", call. = FALSE) } + # TODO: should stroke/fill inherit from the top-level? + # probably not, since fill conflicts with scatter's fill attribute! + line <- modify_list(p$x$attrs[[1]][["line"]], list(...)[["line"]]) + line <- modify_list(line, list(color = toRGB(stroke, alpha))) + add_trace_classed( p, class = c("plotly_ribbon", "plotly_polygon"), - x = x, ymin = ymin, ymax = ymax, - type = "scatter", fill = "toself", mode = "lines", ... + x = x, ymin = ymin, ymax = ymax, type = "scatter", mode = "lines", + line = line, fillcolor = toRGB(fill, alpha), fill = "toself", ... ) } diff --git a/R/plotly_build.R b/R/plotly_build.R index 58d32aa19d..6188b52e64 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -130,6 +130,7 @@ plotly_build.plotly <- function(p) { if (length(arrangeVars)) { builtData <- dplyr::arrange_(builtData, arrangeVars) } + # copy over to the trace data for (i in names(builtData)) { x[[i]] <- builtData[[i]] @@ -140,7 +141,7 @@ plotly_build.plotly <- function(p) { x$mode <- if (any(attrLengths > 20)) "lines" else "markers+lines" } - x[attrLengths > 0] + x[lengths(x) > 0] }, p$x$attrs, names2(p$x$attrs)) diff --git a/man/add_trace.Rd b/man/add_trace.Rd index d02ebee473..dd16c61fd8 100644 --- a/man/add_trace.Rd +++ b/man/add_trace.Rd @@ -24,7 +24,8 @@ \usage{ add_trace(p, ..., color, symbol, size, linetype, data = NULL) -add_markers(p, x = NULL, y = NULL, ...) +add_markers(p, x = NULL, y = NULL, fill = NULL, stroke = NULL, + alpha = 1, ...) add_text(p, x = NULL, y = NULL, text = NULL, ...) @@ -81,6 +82,12 @@ provided, arguments are evaluated using the data frame in \code{\link{plot_ly}() \item{y}{the y variable.} +\item{fill}{fill color} + +\item{stroke}{stroke color} + +\item{alpha}{alpha transparency} + \item{text}{textual labels.} \item{ymin}{a variable used to define the lower boundary of a polygon.} diff --git a/tests/testthat/test-plotly-data.R b/tests/testthat/test-plotly-data.R new file mode 100644 index 0000000000..48cb658f46 --- /dev/null +++ b/tests/testthat/test-plotly-data.R @@ -0,0 +1,21 @@ +context("plotly data") + +test_that("uniq works as expected", { + expect_equal(uniq(c("red", "red", NA)), "red") +}) + +test_that("plotly_data returns empty data frame when none is specified", { + d <- plotly_data(plot_ly()) + expect_true(is.data.frame(d) && NROW(d) == 0) +}) + +test_that("plotly_data returns data frame", { + d <- plotly_data(plot_ly(economics)) + expect_identical(economics, d) +}) + +test_that("plotly_data preserves groups in data", { + d <- plotly_data(group_by_(plot_ly(mtcars), c("vs", "am"))) + expect_true(dplyr::groups(d)[[1]] == "vs") +}) + diff --git a/tests/testthat/test-plotly.R b/tests/testthat/test-plotly.R index d4881c2110..cf79d19f1c 100644 --- a/tests/testthat/test-plotly.R +++ b/tests/testthat/test-plotly.R @@ -1,9 +1,5 @@ context("plot_ly") -test_that("uniq works as expected", { - expect_equal(uniq(c("red", "red", NA)), "red") -}) - expect_traces <- function(p, n.traces, name){ stopifnot(is.numeric(n.traces)) L <- save_outputs(p, paste0("plotly-", name)) From 77d47ed9b2bb1383203e5305dfe56526c3894afe Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Wed, 6 Jul 2016 15:01:25 -0500 Subject: [PATCH 70/73] upgrade to plotlyjs 1.14.1 --- NEWS | 4 +- .../lib/plotlyjs/plotly-latest.min.js | 37 ++++++++++--------- inst/htmlwidgets/plotly.yaml | 2 +- 3 files changed, 22 insertions(+), 21 deletions(-) diff --git a/NEWS b/NEWS index 95ece5e79d..ff92aede34 100644 --- a/NEWS +++ b/NEWS @@ -7,7 +7,7 @@ BREAKING CHANGES & IMPROVEMENTS: * The `group` variable mapping no longer create multiple traces, but instead defines "gaps" within a trace (fixes #418, #381, #577). Groupings should be declared via the new `group_by()` function (see `help(plotly_data)` for examples) instead of the `group` argument (which is now deprecated). * `plot_ly()` now _initializes_ a plotly object (i.e., won't add a scatter trace by default), meaning that something like `plot_ly(x = 1:10, y = 1:10) %>% add_trace(y = 10:1)` will create one trace, instead of two. However, `plot_ly()` will draw a trace if you manually specify a trace type, for example, `plot_ly(x = 1:10, y = 1:10, type = "scatter") %>% add_trace(y = 10:1)` will draw two scatter traces. If no trace type is provided, a sensible type is inferred from the supplied data, and automatically added (i.e., `plot_ly(x = rnorm(100))` now creates a histogram). * The `inherit` argument is deprecated. Any arguments/attributes specified in `plot_ly()` will automatically be passed along to additional traces added via `add_trace()` (or any of it's `add_*()` siblings). -* Scales for variable mappings (such as `color`, `symbol`, `linetype`) are now applied at the plot-level instead of the trace level. For this reason, the range of these scales (`colors`/`symbols`/`linetypes`) should be specified in `plot_ly()`, instead of `add_trace()` or any of it's `add_*()` siblings. +* Scales for aesthetics (e.g., `color`, `symbol`, `linetype`) are now applied at the plot-level, instead of the trace level. To avoid scaling, wrap the aesthetic value with `I()`, for example: `plot_ly(x = 1:10, y = 1:10, color = I("red"))`. 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n=t("./scene2d"),i=t("../plots"),a=t("../../constants/xmlns_namespaces");r.name="gl2d",r.attr=["xaxis","yaxis"],r.idRoot=["x","y"],r.idRegex={x:/^x([2-9]|[1-9][0-9]+)?$/,y:/^y([2-9]|[1-9][0-9]+)?$/},r.attrRegex={x:/^xaxis([2-9]|[1-9][0-9]+)?$/,y:/^yaxis([2-9]|[1-9][0-9]+)?$/},r.attributes=t("../cartesian/attributes"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,a=i.getSubplotIds(e,"gl2d"),o=0;or;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;ao;++o,--s)for(var l=0;r>l;++l)for(var c=0;4>c;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var f=document.createElement("canvas");f.width=r,f.height=n;var h=f.getContext("2d"),d=h.createImageData(r,n);d.data.set(i),h.putImageData(d,0,0);var p;switch(t){case"jpeg":p=f.toDataURL("image/jpeg");break;case"webp":p=f.toDataURL("image/webp");break;default:p=f.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(a),p},m.computeTickMarks=function(){this.xaxis._length=this.glplot.viewBox[2]-this.glplot.viewBox[0],this.yaxis._length=this.glplot.viewBox[3]-this.glplot.viewBox[1];for(var t=[s.calcTicks(this.xaxis),s.calcTicks(this.yaxis)],e=0;2>e;++e)for(var r=0;rk;++k)w[k]=Math.min(w[k],a.bounds[k]),w[k+2]=Math.max(w[k+2],a.bounds[k+2])}var A;for(n=0;2>n;++n)w[n]>w[n+2]&&(w[n]=-1,w[n+2]=1),A=this[v[n]],A._length=y.viewBox[n+2]-y.viewBox[n],s.doAutoRange(A);y.ticks=this.computeTickMarks();var M=this.xaxis.range,T=this.yaxis.range;y.dataBox=[M[0],T[0],M[1],T[1]],y.merge(r),o.update(y),this.glplot.draw()},m.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=this.fullLayout;this.cameraChanged();var i=r.x*t.pixelRatio,a=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===n.dragmode)this.selectBox.enabled=!0,this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],t.setDirty();else{this.selectBox.enabled=!1;var o=n._size,s=this.xaxis.domain,c=this.yaxis.domain,u=t.pick(i/t.pixelRatio+o.l+s[0]*o.w,a/t.pixelRatio-(o.t+(1-c[1])*o.h));if(u&&n.hovermode){var f=u.object._trace.handlePick(u);if(f&&(!this.lastPickResult||this.lastPickResult.trace!==f.trace||this.lastPickResult.dataCoord[0]!==f.dataCoord[0]||this.lastPickResult.dataCoord[1]!==f.dataCoord[1])){var h=this.lastPickResult=f;this.spikes.update({center:u.dataCoord}),h.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(u.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(u.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio];var d=h.hoverinfo;if("all"!==d){var p=d.split("+");-1===p.indexOf("x")&&(h.traceCoord[0]=void 0),-1===p.indexOf("y")&&(h.traceCoord[1]=void 0),-1===p.indexOf("z")&&(h.traceCoord[2]=void 0),-1===p.indexOf("text")&&(h.textLabel=void 0),-1===p.indexOf("name")&&(h.name=void 0)}l.loneHover({x:h.screenCoord[0],y:h.screenCoord[1],xLabel:this.hoverFormatter("xaxis",h.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",h.traceCoord[1]),zLabel:h.traceCoord[2],text:h.textLabel,name:h.name,color:h.color},{container:this.svgContainer}),this.lastPickResult={dataCoord:u.dataCoord}}}else!u&&this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,l.loneUnhover(this.svgContainer))}t.draw()}},m.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return s.tickText(r,r.c2l(e),"hover").text}}},{"../../lib/html2unicode":381,"../../lib/show_no_webgl_msg":392,"../../plots/cartesian/axes":405,"../../plots/cartesian/graph_interact":412,"./camera":436,"./convert":437,"gl-plot2d":165,"gl-select-box":195,"gl-spikes2d":215}],440:[function(t,e,r){"use strict";function n(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];"distanceLimits"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),"zoomMin"in e&&(r[0]=e.zoomMin),"zoomMax"in e&&(r[1]=e.zoomMax);var n=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),l=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],c=0,u=t.clientWidth,f=t.clientHeight,h={keyBindingMode:"rotate",view:n,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:n.modes,tick:function(){var e=i(),r=this.delay,a=e-2*r;n.idle(e-r),n.recalcMatrix(a),n.flush(e-(100+2*r));for(var o=!0,s=n.computedMatrix,h=0;16>h;++h)o=o&&l[h]===s[h],l[h]=s[h];var d=t.clientWidth===u&&t.clientHeight===f;return u=t.clientWidth,f=t.clientHeight,o?!d:(c=Math.exp(n.computedRadius[0]),!0)},lookAt:function(t,e,r){n.lookAt(n.lastT(),t,e,r)},rotate:function(t,e,r){n.rotate(n.lastT(),t,e,r)},pan:function(t,e,r){n.pan(n.lastT(),t,e,r)},translate:function(t,e,r){n.translate(n.lastT(),t,e,r)}};Object.defineProperties(h,{matrix:{get:function(){return n.computedMatrix},set:function(t){return n.setMatrix(n.lastT(),t),n.computedMatrix},enumerable:!0},mode:{get:function(){return n.getMode()},set:function(t){var e=n.computedUp.slice(),r=n.computedEye.slice(),a=n.computedCenter.slice();if(n.setMode(t),"turntable"===t){var o=i();n._active.lookAt(o,r,a,e),n._active.lookAt(o+500,r,a,[0,0,1]),n._active.flush(o)}return n.getMode()},enumerable:!0},center:{get:function(){return n.computedCenter},set:function(t){return n.lookAt(n.lastT(),null,t),n.computedCenter},enumerable:!0},eye:{get:function(){return n.computedEye},set:function(t){return n.lookAt(n.lastT(),t),n.computedEye},enumerable:!0},up:{get:function(){return n.computedUp},set:function(t){return n.lookAt(n.lastT(),null,null,t),n.computedUp},enumerable:!0},distance:{get:function(){return c},set:function(t){return n.setDistance(n.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return n.getDistanceLimits(r)},set:function(t){return n.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener("contextmenu",function(t){return t.preventDefault(),!1});var d=0,p=0;return o(t,function(e,r,a,o){var s="rotate"===h.keyBindingMode,l="pan"===h.keyBindingMode,u="zoom"===h.keyBindingMode,f=!!o.control,g=!!o.alt,v=!!o.shift,m=!!(1&e),y=!!(2&e),b=!!(4&e),x=1/t.clientHeight,_=x*(r-d),w=x*(a-p),k=h.flipX?1:-1,A=h.flipY?1:-1,M=i(),T=Math.PI*h.rotateSpeed;if((s&&m&&!f&&!g&&!v||m&&!f&&!g&&v)&&n.rotate(M,k*T*_,-A*T*w,0),(l&&m&&!f&&!g&&!v||y||m&&f&&!g&&!v)&&n.pan(M,-h.translateSpeed*_*c,h.translateSpeed*w*c,0),u&&m&&!f&&!g&&!v||b||m&&!f&&g&&!v){var E=-h.zoomSpeed*w/window.innerHeight*(M-n.lastT())*100;n.pan(M,0,0,c*(Math.exp(E)-1))}return d=r,p=a,!0}),s(t,function(t,e){var r=h.flipX?1:-1,a=h.flipY?1:-1,o=i();if(Math.abs(t)>Math.abs(e))n.rotate(o,0,0,-t*r*Math.PI*h.rotateSpeed/window.innerWidth);else{var s=-h.zoomSpeed*a*e/window.innerHeight*(o-n.lastT())/100;n.pan(o,0,0,c*(Math.exp(s)-1))}},!0),h}e.exports=n;var i=t("right-now"),a=t("3d-view"),o=t("mouse-change"),s=t("mouse-wheel")},{"3d-view":39,"mouse-change":241,"mouse-wheel":245,"right-now":255}],441:[function(t,e,r){"use strict";function n(t,e){for(var r=0;3>r;++r){var n=s[r];e[n]._gd=t}}var i=t("./scene"),a=t("../plots"),o=t("../../constants/xmlns_namespaces"),s=["xaxis","yaxis","zaxis"];r.name="gl3d",r.attr="scene",r.idRoot="scene",r.idRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attrRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attributes=t("./layout/attributes"),r.layoutAttributes=t("./layout/layout_attributes"),r.supplyLayoutDefaults=t("./layout/defaults"),r.plot=function(t){var e=t._fullLayout,r=t._fullData,o=a.getSubplotIds(e,"gl3d");e._paperdiv.style({width:e.width+"px",height:e.height+"px"}),t._context.setBackground(t,e.paper_bgcolor);for(var s=0;sr;++r){var n=t[c[r]];e.labels[r]=o(n.title),"titlefont"in n&&(n.titlefont.color&&(e.labelColor[r]=s(n.titlefont.color)),n.titlefont.family&&(e.labelFont[r]=n.titlefont.family),n.titlefont.size&&(e.labelSize[r]=n.titlefont.size)),"showline"in n&&(e.lineEnable[r]=n.showline),"linecolor"in n&&(e.lineColor[r]=s(n.linecolor)),"linewidth"in n&&(e.lineWidth[r]=n.linewidth),"showgrid"in n&&(e.gridEnable[r]=n.showgrid),"gridcolor"in n&&(e.gridColor[r]=s(n.gridcolor)),"gridwidth"in n&&(e.gridWidth[r]=n.gridwidth), -"log"===n.type?e.zeroEnable[r]=!1:"zeroline"in n&&(e.zeroEnable[r]=n.zeroline),"zerolinecolor"in n&&(e.zeroLineColor[r]=s(n.zerolinecolor)),"zerolinewidth"in n&&(e.zeroLineWidth[r]=n.zerolinewidth),"ticks"in n&&n.ticks?e.lineTickEnable[r]=!0:e.lineTickEnable[r]=!1,"ticklen"in n&&(e.lineTickLength[r]=e._defaultLineTickLength[r]=n.ticklen),"tickcolor"in n&&(e.lineTickColor[r]=s(n.tickcolor)),"tickwidth"in n&&(e.lineTickWidth[r]=n.tickwidth),"tickangle"in n&&(e.tickAngle[r]="auto"===n.tickangle?0:Math.PI*-n.tickangle/180),"showticklabels"in n&&(e.tickEnable[r]=n.showticklabels),"tickfont"in n&&(n.tickfont.color&&(e.tickColor[r]=s(n.tickfont.color)),n.tickfont.family&&(e.tickFont[r]=n.tickfont.family),n.tickfont.size&&(e.tickSize[r]=n.tickfont.size)),"mirror"in n?-1!==["ticks","all","allticks"].indexOf(n.mirror)?(e.lineTickMirror[r]=!0,e.lineMirror[r]=!0):n.mirror===!0?(e.lineTickMirror[r]=!1,e.lineMirror[r]=!0):(e.lineTickMirror[r]=!1,e.lineMirror[r]=!1):e.lineMirror[r]=!1,"showbackground"in n&&n.showbackground!==!1?(e.backgroundEnable[r]=!0,e.backgroundColor[r]=s(n.backgroundcolor)):e.backgroundEnable[r]=!1}},e.exports=i},{"../../../lib/html2unicode":381,"../../../lib/str2rgbarray":394,arraytools:49}],446:[function(t,e,r){"use strict";function n(t,e,r,n){for(var a=r("bgcolor"),l=i.combine(a,n.paper_bgcolor),c=Object.keys(o.camera),u=0;ue;++e){var r=t[o[e]];this.enabled[e]=r.showspikes,this.colors[e]=a(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness}},e.exports=i},{"../../../lib/str2rgbarray":394}],449:[function(t,e,r){"use strict";function n(t){for(var e=new Array(3),r=0;3>r;++r){for(var n=t[r],i=new Array(n.length),a=0;au;++u){var f=i[s[u]];if(f._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(f._length)===1/0)c[u]=[];else{f.range[0]=r[u].lo/t.dataScale[u],f.range[1]=r[u].hi/t.dataScale[u],f._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),f.range[0]===f.range[1]&&(f.range[0]-=1,f.range[1]+=1);var h=f.tickmode;if("auto"===f.tickmode){f.tickmode="linear";var d=f.nticks||a.Lib.constrain(f._length/40,4,9);a.Axes.autoTicks(f,Math.abs(f.range[1]-f.range[0])/d)}for(var p=a.Axes.calcTicks(f),g=0;gu;++u){l[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]);for(var g=0;2>g;++g)e.bounds[g][u]=t.glplot.bounds[g][u]}t.contourLevels=n(c)}e.exports=i;var a=t("../../../plotly"),o=t("../../../lib/html2unicode"),s=["xaxis","yaxis","zaxis"],l=[0,0,0]},{"../../../lib/html2unicode":381,"../../../plotly":402}],450:[function(t,e,r){"use strict";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;4>r;++r)for(n=0;4>n;++n)i[n]+=t[4*r+n]*e[r];return i}function i(t,e){var r=n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])));return r}e.exports=i},{}],451:[function(t,e,r){"use strict";function n(t){function e(e,r){if("string"==typeof r)return r;var n=t.fullSceneLayout[e];return g.tickText(n,n.c2l(r),"hover").text}var r,n=t.svgContainer,i=t.container.getBoundingClientRect(),a=i.width,o=i.height;n.setAttributeNS(null,"viewBox","0 0 "+a+" "+o),n.setAttributeNS(null,"width",a),n.setAttributeNS(null,"height",o),A(t),t.glplot.axes.update(t.axesOptions);for(var s=Object.keys(t.traces),l=null,c=t.glplot.selection,u=0;ua;++a)l=u[T[a]],_(l);t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]];for(a=0;ao;++o)h[0][o]>h[1][o]?d[o]=1:h[1][o]===h[0][o]?d[o]=1:d[o]=1/(h[1][o]-h[0][o]);for(this.dataScale=d,a=0;aa;++a){if(l=u[T[a]],c=l.type,c in x?(x[c].acc*=d[a],x[c].count+=1):x[c]={acc:d[a],count:1},l.autorange){for(y[0][a]=1/0,y[1][a]=-(1/0),o=0;oy[1][a])y[0][a]=-1,y[1][a]=1;else{var k=y[1][a]-y[0][a];y[0][a]-=k/32,y[1][a]+=k/32}}else{var A=u[T[a]].range;y[0][a]=A[0],y[1][a]=A[1]}y[0][a]===y[1][a]&&(y[0][a]-=1,y[1][a]+=1),b[a]=y[1][a]-y[0][a],this.glplot.bounds[0][a]=y[0][a]*d[a],this.glplot.bounds[1][a]=y[1][a]*d[a]}var M=[1,1,1];for(a=0;3>a;++a){l=u[T[a]],c=l.type;var E=x[c];M[a]=Math.pow(E.acc,1/E.count)/d[a]}var L,S=4;if("auto"===u.aspectmode)L=Math.max.apply(null,M)/Math.min.apply(null,M)<=S?M:[1,1,1];else if("cube"===u.aspectmode)L=[1,1,1];else if("data"===u.aspectmode)L=M;else{if("manual"!==u.aspectmode)throw new Error("scene.js aspectRatio was not one of the enumerated types");var 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t,e,r,n={container:null,hasTick:!1,fontSize:12,color:"white",padding:5},s="tooltip-"+a.tooltipPanel.uid++,l=10,c=function(){t=n.container.selectAll("g."+s).data([0]);var i=t.enter().append("g").classed(s,!0).style({"pointer-events":"none",display:"none"});return r=i.append("path").style({fill:"white","fill-opacity":.9}).attr({d:"M0 0"}),e=i.append("text").attr({dx:n.padding+l,dy:.3*+n.fontSize}),c};return c.text=function(a){var o=i.hsl(n.color).l,s=o>=.5?"#aaa":"white",u=o>=.5?"black":"white",f=a||"";e.style({fill:u,"font-size":n.fontSize+"px"}).text(f);var h=n.padding,d=e.node().getBBox(),p={fill:n.color,stroke:s,"stroke-width":"2px"},g=d.width+2*h+l,v=d.height+2*h;return r.attr({d:"M"+[[l,-v/2],[l,-v/4],[n.hasTick?0:l,0],[l,v/4],[l,v/2],[g,v/2],[g,-v/2]].join("L")+"Z"}).style(p),t.attr({transform:"translate("+[l,-v/2+2*h]+")"}),t.style({display:"block"}),c},c.move=function(e){return t?(t.attr({transform:"translate("+[e[0],e[1]]+")"}).style({display:"block"}),c):void 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n.dotVisible,n.mode="lines+markers"):n.mode="lines"):"DotPlot"===n.geometry?(n.type="scatter",n.mode="markers"):"AreaChart"===n.geometry?n.type="area":"BarChart"===n.geometry&&(n.type="bar"),delete n.geometry):("scatter"===n.type?"lines"===n.mode?n.geometry="LinePlot":"markers"===n.mode?n.geometry="DotPlot":"lines+markers"===n.mode&&(n.geometry="LinePlot",n.dotVisible=!0):"area"===n.type?n.geometry="AreaChart":"bar"===n.type&&(n.geometry="BarChart"),delete n.mode,delete n.type),n}),!e&&t.layout&&"stack"===t.layout.barmode)){var n=a.util.duplicates(r.data.map(function(t,e){return t.geometry}));r.data.forEach(function(t,e){var i=n.indexOf(t.geometry);-1!=i&&(r.data[e].groupId=i)})}if(t.layout){var s=o({},t.layout),l=[[s,["plot_bgcolor"],["backgroundColor"]],[s,["showlegend"],["showLegend"]],[s,["radialaxis"],["radialAxis"]],[s,["angularaxis"],["angularAxis"]],[s.angularaxis,["showline"],["gridLinesVisible"]],[s.angularaxis,["showticklabels"],["labelsVisible"]],[s.angularaxis,["nticks"],["ticksCount"]],[s.angularaxis,["tickorientation"],["tickOrientation"]],[s.angularaxis,["ticksuffix"],["ticksSuffix"]],[s.angularaxis,["range"],["domain"]],[s.angularaxis,["endpadding"],["endPadding"]],[s.radialaxis,["showline"],["gridLinesVisible"]],[s.radialaxis,["tickorientation"],["tickOrientation"]],[s.radialaxis,["ticksuffix"],["ticksSuffix"]],[s.radialaxis,["range"],["domain"]],[s.angularAxis,["showline"],["gridLinesVisible"]],[s.angularAxis,["showticklabels"],["labelsVisible"]],[s.angularAxis,["nticks"],["ticksCount"]],[s.angularAxis,["tickorientation"],["tickOrientation"]],[s.angularAxis,["ticksuffix"],["ticksSuffix"]],[s.angularAxis,["range"],["domain"]],[s.angularAxis,["endpadding"],["endPadding"]],[s.radialAxis,["showline"],["gridLinesVisible"]],[s.radialAxis,["tickorientation"],["tickOrientation"]],[s.radialAxis,["ticksuffix"],["ticksSuffix"]],[s.radialAxis,["range"],["domain"]],[s.font,["outlinecolor"],["outlineColor"]],[s.legend,["traceorder"],["reverseOrder"]],[s,["labeloffset"],["labelOffset"]],[s,["defaultcolorrange"],["defaultColorRange"]]];if(l.forEach(function(t,r){a.util.translator.apply(null,t.concat(e))}),e?("undefined"!=typeof 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d=t("gl-line3d"),p=t("gl-scatter3d"),g=t("gl-error3d"),v=t("gl-mesh3d"),m=t("delaunay-triangulate"),y=t("../../lib"),b=t("../../lib/str2rgbarray"),x=t("../../lib/gl_format_color"),_=t("../scatter/make_bubble_size_func"),w=t("../../constants/gl3d_dashes"),k=t("../../constants/gl_markers"),A=t("./calc_errors"),M=n.prototype;M.handlePick=function(t){if(t.object&&(t.object===this.linePlot||t.object===this.delaunayMesh||t.object===this.textMarkers||t.object===this.scatterPlot)){t.object.highlight&&t.object.highlight(null),this.scatterPlot&&(t.object=this.scatterPlot,this.scatterPlot.highlight(t.data)),this.textLabels&&void 0!==this.textLabels[t.data.index]?t.textLabel=this.textLabels[t.data.index]:t.textLabel="";var e=t.data.index;return t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]],!0}},M.update=function(t){var e,r,n,a,o=this.scene.glplot.gl,s=w.solid;this.data=t;var l=u(this.scene,t);"mode"in l&&(this.mode=l.mode),"lineDashes"in l&&l.lineDashes in 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c=t.opacity;if(t.marker&&t.marker.opacity&&(c*=t.marker.opacity),r={gl:o,position:l.position,color:l.scatterColor,size:l.scatterSize,glyph:l.scatterMarker,opacity:c,orthographic:!0,lineWidth:l.scatterLineWidth,lineColor:l.scatterLineColor,project:l.project,projectScale:l.projectScale,projectOpacity:l.projectOpacity},-1!==this.mode.indexOf("markers")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=p(r),this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),a={gl:o,position:l.position,glyph:l.text,color:l.textColor,size:l.textSize,angle:l.textAngle,alignment:l.textOffset,font:l.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=l.text,-1!==this.mode.indexOf("text")?this.textMarkers?this.textMarkers.update(a):(this.textMarkers=p(a),this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),n={gl:o,position:l.position,color:l.errorColor,error:l.errorBounds,lineWidth:l.errorLineWidth,capSize:l.errorCapSize,opacity:t.opacity},this.errorBars?l.errorBounds?this.errorBars.update(n):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):l.errorBounds&&(this.errorBars=g(n),this.scene.glplot.add(this.errorBars)),l.delaunayAxis>=0){var h=i(l.position,l.delaunayColor,l.delaunayAxis);h.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(h):(h.gl=o,this.delaunayMesh=v(h),this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)},M.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())},e.exports=h},{"../../constants/gl3d_dashes":368,"../../constants/gl_markers":369,"../../lib":382,"../../lib/gl_format_color":380,"../../lib/str2rgbarray":394,"../scatter/make_bubble_size_func":569,"./calc_errors":580,"delaunay-triangulate":114,"gl-error3d":121,"gl-line3d":127,"gl-mesh3d":150,"gl-scatter3d":193}],582:[function(t,e,r){"use strict";function n(t,e,r){var n=0,i=r("x"),a=r("y"),o=r("z");return i&&a&&o&&(n=Math.min(i.length,a.length,o.length),n=0&&h("surfacecolor",p||g);for(var v=["x","y","z"],m=0;3>m;++m){var y="projection."+v[m];h(y+".show")&&(h(y+".opacity"),h(y+".scale"))}c(t,e,r,{axis:"z"}),c(t,e,r,{axis:"y",inherit:"z"}),c(t,e,r,{axis:"x",inherit:"z"})}},{"../../components/errorbars/defaults":331,"../../lib":382,"../scatter/line_defaults":566,"../scatter/marker_defaults":571,"../scatter/subtypes":575,"../scatter/text_defaults":576,"./attributes":578}],583:[function(t,e,r){"use strict";var n={};n.plot=t("./convert"),n.attributes=t("./attributes"),n.markerSymbols=t("../../constants/gl_markers"),n.supplyDefaults=t("./defaults"),n.colorbar=t("../scatter/colorbar"),n.calc=t("./calc"),n.moduleType="trace",n.name="scatter3d",n.basePlotModule=t("../../plots/gl3d"),n.categories=["gl3d","symbols","markerColorscale","showLegend"],n.meta={},e.exports=n},{"../../constants/gl_markers":369,"../../plots/gl3d":441,"../scatter/colorbar":559,"./attributes":578,"./calc":579,"./convert":581,"./defaults":582}],584:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../plots/attributes"),a=t("../../components/colorscale/color_attributes"),o=t("../../lib/extend").extendFlat,s=n.marker,l=n.line,c=s.line; -e.exports={lon:{valType:"data_array"},lat:{valType:"data_array"},locations:{valType:"data_array"},locationmode:{valType:"enumerated",values:["ISO-3","USA-states","country names"],dflt:"ISO-3"},mode:o({},n.mode,{dflt:"markers"}),text:o({},n.text,{}),line:{color:l.color,width:l.width,dash:l.dash},marker:o({},{symbol:s.symbol,opacity:s.opacity,size:s.size,sizeref:s.sizeref,sizemin:s.sizemin,sizemode:s.sizemode,showscale:s.showscale,line:o({},{width:c.width},a("marker.line"))},a("marker")),textfont:n.textfont,textposition:n.textposition,hoverinfo:o({},i.hoverinfo,{flags:["lon","lat","location","text","name"]}),_nestedModules:{"marker.colorbar":"Colorbar"}}},{"../../components/colorscale/color_attributes":311,"../../lib/extend":377,"../../plots/attributes":403,"../scatter/attributes":556}],585:[function(t,e,r){"use strict";var n=t("../scatter/marker_colorscale_calc");e.exports=function(t,e){var r=[{x:!1,y:!1,trace:e,t:{}}];return n(e),r}},{"../scatter/marker_colorscale_calc":570}],586:[function(t,e,r){"use strict";function n(t,e,r){var n,i,a=0,o=r("locations");return o?(r("locationmode"),a=o.length):(n=r("lon")||[],i=r("lat")||[],a=Math.min(n.length,i.length),an;n++)r[n]=[t.lon[n],t.lat[n]];return{type:"LineString",coordinates:r,trace:t}}function a(t,e){function r(e){var r=t.mockAxis;return c.tickText(r,r.c2l(e),"hover").text+"\xb0"}var n=e.hoverinfo;if("none"===n)return function(t){delete t.textLabel};var i="all"===n?v.hoverinfo.flags:n.split("+"),a=-1!==i.indexOf("location")&&Array.isArray(e.locations),o=-1!==i.indexOf("lon"),s=-1!==i.indexOf("lat"),l=-1!==i.indexOf("text");return function(t){var n=[];a?n.push(t.location):o&&s?n.push("("+r(t.lon)+", "+r(t.lat)+")"):o?n.push("lon: "+r(t.lon)):s&&n.push("lat: "+r(t.lat)),l&&n.push(t.tx||e.text),t.textLabel=n.join("
")}}function o(t){var e=Array.isArray(t.locations);return function(r,n){return{points:[{data:t._input,fullData:t,curveNumber:t.index,pointNumber:n,lon:r.lon,lat:r.lat,location:e?r.location:null}]}}}var s=t("d3"),l=t("../../plots/cartesian/graph_interact"),c=t("../../plots/cartesian/axes"),u=t("../../lib/topojson_utils").getTopojsonFeatures,f=t("../../lib/geo_location_utils").locationToFeature,h=t("../../lib/array_to_calc_item"),d=t("../../components/color"),p=t("../../components/drawing"),g=t("../scatter/subtypes"),v=t("./attributes"),m=e.exports={};m.calcGeoJSON=function(t,e){var r,i,a,o,s=[],l=Array.isArray(t.locations);l?(o=t.locations,r=o.length,i=u(t,e),a=function(t,e){var r=f(t.locationmode,o[e],i);return void 0!==r?r.properties.ct:void 0}):(r=t.lon.length,a=function(t,e){return[t.lon[e],t.lat[e]]});for(var c=0;r>c;c++){var h=a(t,c);if(h){var d={lon:h[0],lat:h[1],location:l?t.locations[c]:null};n(t,d,c),s.push(d)}}return s.length>0&&(s[0].trace=t),s},m.plot=function(t,e){var r=t.framework.select(".scattergeolayer").selectAll("g.trace.scattergeo").data(e,function(t){return t.uid});r.enter().append("g").attr("class","trace scattergeo"),r.exit().remove(),r.selectAll("*").remove(),r.each(function(t){var e=s.select(this);g.hasLines(t)&&e.selectAll("path.js-line").data([i(t)]).enter().append("path").classed("js-line",!0)}),r.each(function(e){function r(r,n){if(t.showHover){var i=t.projection([r.lon,r.lat]);h(r),l.loneHover({x:i[0],y:i[1],name:v?e.name:void 0,text:r.textLabel,color:r.mc||(e.marker||{}).color},{container:t.hoverContainer.node()}),y=d(r,n),t.graphDiv.emit("plotly_hover",y)}}function n(e,r){t.graphDiv.emit("plotly_click",d(e,r))}var i=s.select(this),c=g.hasMarkers(e),u=g.hasText(e);if(c||u){var f=m.calcGeoJSON(e,t.topojson),h=a(t,e),d=o(e),p=e.hoverinfo,v="all"===p||-1!==p.indexOf("name"),y=null;c&&i.selectAll("path.point").data(f).enter().append("path").classed("point",!0).on("mouseover",r).on("click",n).on("mouseout",function(){l.loneUnhover(t.hoverContainer),t.graphDiv.emit("plotly_unhover",y)}).on("mousedown",function(){l.loneUnhover(t.hoverContainer)}).on("mouseup",r),u&&i.selectAll("g").data(f).enter().append("g").append("text")}}),m.style(t)},m.style=function(t){var e=t.framework.selectAll("g.trace.scattergeo");e.style("opacity",function(t){return t.opacity}),e.each(function(t){s.select(this).selectAll("path.point").call(p.pointStyle,t),s.select(this).selectAll("text").call(p.textPointStyle,t)}),e.selectAll("path.js-line").style("fill","none").each(function(t){var e=t.trace,r=e.line||{};s.select(this).call(d.stroke,r.color).call(p.dashLine,r.dash||"",r.width||0)})}},{"../../components/color":303,"../../components/drawing":326,"../../lib/array_to_calc_item":373,"../../lib/geo_location_utils":379,"../../lib/topojson_utils":396,"../../plots/cartesian/axes":405,"../../plots/cartesian/graph_interact":412,"../scatter/subtypes":575,"./attributes":584,d3:113}],589:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../components/colorscale/color_attributes"),a=t("../../constants/gl2d_dashes"),o=t("../../constants/gl_markers"),s=t("../../lib/extend").extendFlat,l=t("../../lib/extend").extendDeep,c=n.line,u=n.marker,f=u.line;e.exports={x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,text:s({},n.text,{}),mode:{valType:"flaglist",flags:["lines","markers"],extras:["none"]},line:{color:c.color,width:c.width,dash:{valType:"enumerated",values:Object.keys(a),dflt:"solid"}},marker:l({},i("marker"),{symbol:{valType:"enumerated",values:Object.keys(o),dflt:"circle",arrayOk:!0},size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,opacity:u.opacity,showscale:u.showscale,line:l({},i("marker.line"),{width:f.width})}),connectgaps:n.connectgaps,fill:s({},n.fill,{values:["none","tozeroy","tozerox"]}),fillcolor:n.fillcolor,_nestedModules:{error_x:"ErrorBars",error_y:"ErrorBars","marker.colorbar":"Colorbar"}}},{"../../components/colorscale/color_attributes":311,"../../constants/gl2d_dashes":367,"../../constants/gl_markers":369,"../../lib/extend":377,"../scatter/attributes":556}],590:[function(t,e,r){"use strict";function n(t,e){this.scene=t,this.uid=e,this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color="rgb(0, 0, 0)",this.name="",this.hoverinfo="all",this.connectgaps=!0,this.idToIndex=[],this.bounds=[0,0,0,0],this.hasLines=!1,this.lineOptions={positions:new Float32Array(0),color:[0,0,0,1],width:1,fill:[!1,!1,!1,!1],fillColor:[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],dashes:[1]},this.line=d(t.glplot,this.lineOptions),this.line._trace=this,this.hasErrorX=!1,this.errorXOptions={positions:new Float32Array(0),errors:new Float32Array(0),lineWidth:1,capSize:0,color:[0,0,0,1]},this.errorX=p(t.glplot,this.errorXOptions),this.errorX._trace=this,this.hasErrorY=!1,this.errorYOptions={positions:new Float32Array(0),errors:new Float32Array(0),lineWidth:1,capSize:0,color:[0,0,0,1]},this.errorY=p(t.glplot,this.errorYOptions),this.errorY._trace=this,this.hasMarkers=!1,this.scatterOptions={positions:new Float32Array(0),sizes:[],colors:[],glyphs:[],borderWidths:[],borderColors:[],size:12,color:[0,0,0,1],borderSize:1,borderColor:[0,0,0,1]},this.scatter=f(t.glplot,this.scatterOptions),this.scatter._trace=this,this.fancyScatter=h(t.glplot,this.scatterOptions),this.fancyScatter._trace=this}function i(t,e,r){return Array.isArray(e)||(e=[e]),a(t,e,r)}function a(t,e,r){for(var n=new Array(r),i=e[0],a=0;r>a;++a)n[a]=t(a>=e.length?i:e[a]);return n}function o(t,e,r){return l(S(t,r),L(e,r),r)}function s(t,e,r,n){var i=x(t,e,n);return i=Array.isArray(i[0])?i:a(v.identity,[i],n),l(i,L(r,n),n)}function l(t,e,r){for(var n=new Array(4*r),i=0;r>i;++i){for(var a=0;3>a;++a)n[4*i+a]=t[i][a];n[4*i+3]=t[i][3]*e[i]}return n}function c(t,e){if(void 0===Float32Array.slice){for(var r=new Float32Array(e),n=0;e>n;n++)r[n]=t[n];return r}return t.slice(0,e)}function u(t,e){var r=new n(t,e.uid);return r.update(e),r}var f=t("gl-scatter2d"),h=t("gl-scatter2d-fancy"),d=t("gl-line2d"),p=t("gl-error2d"),g=t("fast-isnumeric"),v=t("../../lib"),m=t("../../plots/cartesian/axes"),y=t("../../components/errorbars"),b=t("../../lib/str2rgbarray"),x=t("../../lib/gl_format_color"),_=t("../scatter/subtypes"),w=t("../scatter/make_bubble_size_func"),k=t("../scatter/get_trace_color"),A=t("../../constants/gl_markers"),M=t("../../constants/gl2d_dashes"),T=["xaxis","yaxis"],E=n.prototype;E.handlePick=function(t){var e=t.pointId;return(t.object!==this.line||this.connectgaps)&&(e=this.idToIndex[t.pointId]),{trace:this,dataCoord:t.dataCoord,traceCoord:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:Array.isArray(this.color)?this.color[e]:this.color,name:this.name,hoverinfo:this.hoverinfo}},E.isFancy=function(t){if("linear"!==this.scene.xaxis.type)return!0;if("linear"!==this.scene.yaxis.type)return!0;if(!t.x||!t.y)return!0;if(this.hasMarkers){var e=t.marker||{};if(Array.isArray(e.symbol)||"circle"!==e.symbol||Array.isArray(e.size)||Array.isArray(e.color)||Array.isArray(e.line.width)||Array.isArray(e.line.color)||Array.isArray(e.opacity))return!0}return this.hasLines&&!this.connectgaps?!0:this.hasErrorX?!0:!!this.hasErrorY};var L=i.bind(null,function(t){return+t}),S=i.bind(null,b),C=i.bind(null,function(t){return A[t]||"\u25cf"});E.update=function(t){t.visible!==!0?(this.hasLines=!1,this.hasErrorX=!1,this.hasErrorY=!1,this.hasMarkers=!1):(this.hasLines=_.hasLines(t),this.hasErrorX=t.error_x.visible===!0,this.hasErrorY=t.error_y.visible===!0,this.hasMarkers=_.hasMarkers(t)),this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-(1/0),-(1/0)],this.connectgaps=!!t.connectgaps,this.isFancy(t)?this.updateFancy(t):this.updateFast(t),this.color=k(t,{})},E.updateFast=function(t){for(var e,r,n=this.xData=this.pickXData=t.x,i=this.yData=this.pickYData=t.y,a=n.length,o=new Array(a),s=new 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e=this.scene,r=e.xaxis,n=e.yaxis,a=this.bounds,o=this.pickXData=r.makeCalcdata(t,"x").slice(),l=this.pickYData=n.makeCalcdata(t,"y").slice();this.xData=o.slice(),this.yData=l.slice();var u,f,h,d,p,g,v,m,b=y.calcFromTrace(t,e.fullLayout),x=o.length,_=new Array(x),k=new Float32Array(2*x),A=new Float32Array(4*x),M=new Float32Array(4*x),T=0,E=0,S=0,z=0,P="log"===r.type?function(t){return r.d2l(t)}:function(t){return t},R="log"===n.type?function(t){return n.d2l(t)}:function(t){return t};for(u=0;x>u;++u)this.xData[u]=h=P(o[u]),this.yData[u]=d=R(l[u]),isNaN(h)||isNaN(d)||(_[T++]=u,k[E++]=h,k[E++]=d,p=A[S++]=h-b[u].xs||0,g=A[S++]=b[u].xh-h||0,A[S++]=0,A[S++]=0,M[z++]=0,M[z++]=0,v=M[z++]=d-b[u].ys||0,m=M[z++]=b[u].yh-d||0,a[0]=Math.min(a[0],h-p),a[1]=Math.min(a[1],d-v),a[2]=Math.max(a[2],h+g),a[3]=Math.max(a[3],d+m));k=c(k,E),this.idToIndex=_,this.updateLines(t,k),this.updateError("X",t,k,A),this.updateError("Y",t,k,M);var 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v(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*k,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*k,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*k]}function m(t){var e=t[0]*w,r=t[1]*w,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}function y(t,e){for(var r=0,n=0,i=t.length;i>n;++n)r+=t[n]*e[n];return r}function b(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}function x(t){for(var e=0,r=arguments.length,n=[];++ed;++d){for(e=c[d],r=t[this.scene[e]._name],n=/Click to enter .+ 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e=this.scene,r=a.Plots.getSubplotIds(e.fullLayout,"gl2d"),n=a.Axes.findSubplotsWithAxis(r,t);return 0!==n.indexOf(e.id)},l.hasAxisInDfltPos=function(t,e){var r=e.side;return"xaxis"===t?"bottom"===r:"yaxis"===t?"left"===r:void 0},l.hasAxisInAltrPos=function(t,e){var r=e.side;return"xaxis"===t?"top"===r:"yaxis"===t?"right"===r:void 0},l.getLabelPad=function(t,e){var r=1.5,n=e.titlefont.size,i=e.showticklabels;return"xaxis"===t?"top"===e.side?-10+n*(r+(i?1:0)):-10+n*(r+(i?.5:0)):"yaxis"===t?"right"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},l.getTickPad=function(t){return"outside"===t.ticks?10+t.ticklen:15},l.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return"inside"===t.ticks?-e:e},e.exports=i},{"../../lib/html2unicode":381,"../../lib/str2rgbarray":394,"../../plotly":402}],438:[function(t,e,r){"use strict";var n=t("./scene2d"),i=t("../plots"),a=t("../../constants/xmlns_namespaces");r.name="gl2d",r.attr=["xaxis","yaxis"],r.idRoot=["x","y"],r.idRegex={x:/^x([2-9]|[1-9][0-9]+)?$/,y:/^y([2-9]|[1-9][0-9]+)?$/},r.attrRegex={x:/^xaxis([2-9]|[1-9][0-9]+)?$/,y:/^yaxis([2-9]|[1-9][0-9]+)?$/},r.attributes=t("../cartesian/attributes"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,a=i.getSubplotIds(e,"gl2d"),o=0;or;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;ao;++o,--s)for(var l=0;r>l;++l)for(var c=0;4>c;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var f=document.createElement("canvas");f.width=r,f.height=n;var h=f.getContext("2d"),d=h.createImageData(r,n);d.data.set(i),h.putImageData(d,0,0);var p;switch(t){case"jpeg":p=f.toDataURL("image/jpeg");break;case"webp":p=f.toDataURL("image/webp");break;default:p=f.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(a),p},m.computeTickMarks=function(){this.xaxis._length=this.glplot.viewBox[2]-this.glplot.viewBox[0],this.yaxis._length=this.glplot.viewBox[3]-this.glplot.viewBox[1];for(var t=[s.calcTicks(this.xaxis),s.calcTicks(this.yaxis)],e=0;2>e;++e)for(var r=0;rk;++k)w[k]=Math.min(w[k],a.bounds[k]),w[k+2]=Math.max(w[k+2],a.bounds[k+2])}var A;for(n=0;2>n;++n)w[n]>w[n+2]&&(w[n]=-1,w[n+2]=1),A=this[v[n]],A._length=y.viewBox[n+2]-y.viewBox[n],s.doAutoRange(A);y.ticks=this.computeTickMarks();var M=this.xaxis.range,T=this.yaxis.range;y.dataBox=[M[0],T[0],M[1],T[1]],y.merge(r),o.update(y),this.glplot.draw()},m.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=this.fullLayout;this.cameraChanged();var i=r.x*t.pixelRatio,a=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===n.dragmode)this.selectBox.enabled=!0,this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],t.setDirty();else{this.selectBox.enabled=!1;var o=n._size,s=this.xaxis.domain,c=this.yaxis.domain,u=t.pick(i/t.pixelRatio+o.l+s[0]*o.w,a/t.pixelRatio-(o.t+(1-c[1])*o.h));if(u&&n.hovermode){var f=u.object._trace.handlePick(u);if(f&&(!this.lastPickResult||this.lastPickResult.trace!==f.trace||this.lastPickResult.dataCoord[0]!==f.dataCoord[0]||this.lastPickResult.dataCoord[1]!==f.dataCoord[1])){var h=this.lastPickResult=f;this.spikes.update({center:u.dataCoord}),h.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(u.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(u.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio];var d=h.hoverinfo;if("all"!==d){var p=d.split("+");-1===p.indexOf("x")&&(h.traceCoord[0]=void 0),-1===p.indexOf("y")&&(h.traceCoord[1]=void 0),-1===p.indexOf("z")&&(h.traceCoord[2]=void 0),-1===p.indexOf("text")&&(h.textLabel=void 0),-1===p.indexOf("name")&&(h.name=void 0)}l.loneHover({x:h.screenCoord[0],y:h.screenCoord[1],xLabel:this.hoverFormatter("xaxis",h.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",h.traceCoord[1]),zLabel:h.traceCoord[2],text:h.textLabel,name:h.name,color:h.color},{container:this.svgContainer}),this.lastPickResult={dataCoord:u.dataCoord}}}else!u&&this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,l.loneUnhover(this.svgContainer))}t.draw()}},m.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return s.tickText(r,r.c2l(e),"hover").text}}},{"../../lib/html2unicode":381,"../../lib/show_no_webgl_msg":392,"../../plots/cartesian/axes":405,"../../plots/cartesian/graph_interact":412,"./camera":436,"./convert":437,"gl-plot2d":165,"gl-select-box":195,"gl-spikes2d":215}],440:[function(t,e,r){"use strict";function n(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];"distanceLimits"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),"zoomMin"in e&&(r[0]=e.zoomMin),"zoomMax"in e&&(r[1]=e.zoomMax);var n=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),l=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],c=0,u=t.clientWidth,f=t.clientHeight,h={keyBindingMode:"rotate",view:n,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:n.modes,tick:function(){var e=i(),r=this.delay,a=e-2*r;n.idle(e-r),n.recalcMatrix(a),n.flush(e-(100+2*r));for(var o=!0,s=n.computedMatrix,h=0;16>h;++h)o=o&&l[h]===s[h],l[h]=s[h];var d=t.clientWidth===u&&t.clientHeight===f;return u=t.clientWidth,f=t.clientHeight,o?!d:(c=Math.exp(n.computedRadius[0]),!0)},lookAt:function(t,e,r){n.lookAt(n.lastT(),t,e,r)},rotate:function(t,e,r){n.rotate(n.lastT(),t,e,r)},pan:function(t,e,r){n.pan(n.lastT(),t,e,r)},translate:function(t,e,r){n.translate(n.lastT(),t,e,r)}};Object.defineProperties(h,{matrix:{get:function(){return n.computedMatrix},set:function(t){return n.setMatrix(n.lastT(),t),n.computedMatrix},enumerable:!0},mode:{get:function(){return n.getMode()},set:function(t){var e=n.computedUp.slice(),r=n.computedEye.slice(),a=n.computedCenter.slice();if(n.setMode(t),"turntable"===t){var o=i();n._active.lookAt(o,r,a,e),n._active.lookAt(o+500,r,a,[0,0,1]),n._active.flush(o)}return n.getMode()},enumerable:!0},center:{get:function(){return n.computedCenter},set:function(t){return n.lookAt(n.lastT(),null,t),n.computedCenter},enumerable:!0},eye:{get:function(){return n.computedEye},set:function(t){return n.lookAt(n.lastT(),t),n.computedEye},enumerable:!0},up:{get:function(){return n.computedUp},set:function(t){return n.lookAt(n.lastT(),null,null,t),n.computedUp},enumerable:!0},distance:{get:function(){return c},set:function(t){return n.setDistance(n.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return n.getDistanceLimits(r)},set:function(t){return n.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener("contextmenu",function(t){return t.preventDefault(),!1});var d=0,p=0;return o(t,function(e,r,a,o){var s="rotate"===h.keyBindingMode,l="pan"===h.keyBindingMode,u="zoom"===h.keyBindingMode,f=!!o.control,g=!!o.alt,v=!!o.shift,m=!!(1&e),y=!!(2&e),b=!!(4&e),x=1/t.clientHeight,_=x*(r-d),w=x*(a-p),k=h.flipX?1:-1,A=h.flipY?1:-1,M=i(),T=Math.PI*h.rotateSpeed;if((s&&m&&!f&&!g&&!v||m&&!f&&!g&&v)&&n.rotate(M,k*T*_,-A*T*w,0),(l&&m&&!f&&!g&&!v||y||m&&f&&!g&&!v)&&n.pan(M,-h.translateSpeed*_*c,h.translateSpeed*w*c,0),u&&m&&!f&&!g&&!v||b||m&&!f&&g&&!v){var E=-h.zoomSpeed*w/window.innerHeight*(M-n.lastT())*100;n.pan(M,0,0,c*(Math.exp(E)-1))}return d=r,p=a,!0}),s(t,function(t,e){var r=h.flipX?1:-1,a=h.flipY?1:-1,o=i();if(Math.abs(t)>Math.abs(e))n.rotate(o,0,0,-t*r*Math.PI*h.rotateSpeed/window.innerWidth);else{var s=-h.zoomSpeed*a*e/window.innerHeight*(o-n.lastT())/100;n.pan(o,0,0,c*(Math.exp(s)-1))}},!0),h}e.exports=n;var i=t("right-now"),a=t("3d-view"),o=t("mouse-change"),s=t("mouse-wheel")},{"3d-view":39,"mouse-change":241,"mouse-wheel":245,"right-now":255}],441:[function(t,e,r){"use strict";function n(t,e){for(var r=0;3>r;++r){var n=s[r];e[n]._gd=t}}var i=t("./scene"),a=t("../plots"),o=t("../../constants/xmlns_namespaces"),s=["xaxis","yaxis","zaxis"];r.name="gl3d",r.attr="scene",r.idRoot="scene",r.idRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attrRegex=/^scene([2-9]|[1-9][0-9]+)?$/,r.attributes=t("./layout/attributes"),r.layoutAttributes=t("./layout/layout_attributes"),r.supplyLayoutDefaults=t("./layout/defaults"),r.plot=function(t){var e=t._fullLayout,r=t._fullData,o=a.getSubplotIds(e,"gl3d");e._paperdiv.style({width:e.width+"px",height:e.height+"px"}),t._context.setBackground(t,e.paper_bgcolor);for(var s=0;sr;++r){var n=t[c[r]];e.labels[r]=o(n.title),"titlefont"in n&&(n.titlefont.color&&(e.labelColor[r]=s(n.titlefont.color)),n.titlefont.family&&(e.labelFont[r]=n.titlefont.family),n.titlefont.size&&(e.labelSize[r]=n.titlefont.size)),"showline"in n&&(e.lineEnable[r]=n.showline),"linecolor"in n&&(e.lineColor[r]=s(n.linecolor)),"linewidth"in n&&(e.lineWidth[r]=n.linewidth),"showgrid"in n&&(e.gridEnable[r]=n.showgrid),"gridcolor"in n&&(e.gridColor[r]=s(n.gridcolor)),"gridwidth"in n&&(e.gridWidth[r]=n.gridwidth),"log"===n.type?e.zeroEnable[r]=!1:"zeroline"in n&&(e.zeroEnable[r]=n.zeroline),"zerolinecolor"in n&&(e.zeroLineColor[r]=s(n.zerolinecolor)),"zerolinewidth"in n&&(e.zeroLineWidth[r]=n.zerolinewidth),"ticks"in n&&n.ticks?e.lineTickEnable[r]=!0:e.lineTickEnable[r]=!1,"ticklen"in n&&(e.lineTickLength[r]=e._defaultLineTickLength[r]=n.ticklen),"tickcolor"in n&&(e.lineTickColor[r]=s(n.tickcolor)),"tickwidth"in n&&(e.lineTickWidth[r]=n.tickwidth),"tickangle"in n&&(e.tickAngle[r]="auto"===n.tickangle?0:Math.PI*-n.tickangle/180),"showticklabels"in n&&(e.tickEnable[r]=n.showticklabels),"tickfont"in n&&(n.tickfont.color&&(e.tickColor[r]=s(n.tickfont.color)),n.tickfont.family&&(e.tickFont[r]=n.tickfont.family),n.tickfont.size&&(e.tickSize[r]=n.tickfont.size)),"mirror"in n?-1!==["ticks","all","allticks"].indexOf(n.mirror)?(e.lineTickMirror[r]=!0,e.lineMirror[r]=!0):n.mirror===!0?(e.lineTickMirror[r]=!1,e.lineMirror[r]=!0):(e.lineTickMirror[r]=!1,e.lineMirror[r]=!1):e.lineMirror[r]=!1,"showbackground"in n&&n.showbackground!==!1?(e.backgroundEnable[r]=!0,e.backgroundColor[r]=s(n.backgroundcolor)):e.backgroundEnable[r]=!1}},e.exports=i},{"../../../lib/html2unicode":381,"../../../lib/str2rgbarray":394,arraytools:49}],446:[function(t,e,r){"use strict";function n(t,e,r,n){for(var a=r("bgcolor"),l=i.combine(a,n.paper_bgcolor),c=Object.keys(o.camera),u=0;ue;++e){var 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s=o({},t.layout),l=[[s,["plot_bgcolor"],["backgroundColor"]],[s,["showlegend"],["showLegend"]],[s,["radialaxis"],["radialAxis"]],[s,["angularaxis"],["angularAxis"]],[s.angularaxis,["showline"],["gridLinesVisible"]],[s.angularaxis,["showticklabels"],["labelsVisible"]],[s.angularaxis,["nticks"],["ticksCount"]],[s.angularaxis,["tickorientation"],["tickOrientation"]],[s.angularaxis,["ticksuffix"],["ticksSuffix"]],[s.angularaxis,["range"],["domain"]],[s.angularaxis,["endpadding"],["endPadding"]],[s.radialaxis,["showline"],["gridLinesVisible"]],[s.radialaxis,["tickorientation"],["tickOrientation"]],[s.radialaxis,["ticksuffix"],["ticksSuffix"]],[s.radialaxis,["range"],["domain"]],[s.angularAxis,["showline"],["gridLinesVisible"]],[s.angularAxis,["showticklabels"],["labelsVisible"]],[s.angularAxis,["nticks"],["ticksCount"]],[s.angularAxis,["tickorientation"],["tickOrientation"]],[s.angularAxis,["ticksuffix"],["ticksSuffix"]],[s.angularAxis,["range"],["domain"]],[s.angularAxis,["endpadding"],["endPadding"]],[s.radialAxis,["showline"],["gridLinesVisible"]],[s.radialAxis,["tickorientation"],["tickOrientation"]],[s.radialAxis,["ticksuffix"],["ticksSuffix"]],[s.radialAxis,["range"],["domain"]],[s.font,["outlinecolor"],["outlineColor"]],[s.legend,["traceorder"],["reverseOrder"]],[s,["labeloffset"],["labelOffset"]],[s,["defaultcolorrange"],["defaultColorRange"]]];if(l.forEach(function(t,r){a.util.translator.apply(null,t.concat(e))}),e?("undefined"!=typeof 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i=t("../../../components/color"),a=t("../../subplot_defaults"),o=t("./layout_attributes"),s=t("./axis_defaults"),l=["aaxis","baxis","caxis"];e.exports=function(t,e,r){a(t,e,r,{type:"ternary",attributes:o,handleDefaults:n,font:e.font,paper_bgcolor:e.paper_bgcolor})}},{"../../../components/color":303,"../../subplot_defaults":460,"./axis_defaults":464,"./layout_attributes":466}],466:[function(t,e,r){"use strict";var n=t("../../../components/color/attributes"),i=t("./axis_attributes");e.exports={domain:{x:{valType:"info_array",items:[{valType:"number",min:0,max:1},{valType:"number",min:0,max:1}],dflt:[0,1]},y:{valType:"info_array",items:[{valType:"number",min:0,max:1},{valType:"number",min:0,max:1}],dflt:[0,1]}},bgcolor:{valType:"color",dflt:n.background},sum:{valType:"number",dflt:1,min:0},aaxis:i,baxis:i,caxis:i}},{"../../../components/color/attributes":302,"./axis_attributes":463}],467:[function(t,e,r){"use strict";function n(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework()}function i(t){a.select(t).selectAll(".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners").remove()}var a=t("d3"),o=t("tinycolor2"),s=t("../../plotly"),l=t("../../lib"),c=t("../../components/color"),u=t("../../components/drawing"),f=t("../cartesian/set_convert"),h=t("../../lib/extend").extendFlat,d=t("../cartesian/axes"),p=t("../../lib/filter_visible"),g=t("../../components/dragelement"),v=t("../../components/titles"),m=t("../cartesian/select"),y=t("../cartesian/constants"),b=t("../cartesian/graph_interact");e.exports=n;var x=n.prototype;x.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={}},x.plot=function(t,e){var r,n=this,i=e[n.id],a=e._size;l.getPlotDiv(n.plotContainer.node())!==n.graphDiv&&(n.init(n.graphDiv._fullLayout),n.makeFramework()),n.adjustLayout(i,a);var o=n.traceHash,s={};for(r=0;r_*y?(a=y,i=a*_):(i=m,a=i/_),o=g*i/m,s=v*a/y,r=e.l+e.w*d-i/2,n=e.t+e.h*(1-p)-a/2,l.x0=r,l.y0=n,l.w=i,l.h=a,l.sum=b,l.xaxis={type:"linear",range:[x+2*k-b,b-x-2*w],domain:[d-o/2,d+o/2],_id:"x",_gd:l.graphDiv},f(l.xaxis),l.xaxis.setScale(),l.yaxis={type:"linear",range:[x,b-w-k],domain:[p-s/2,p+s/2],_id:"y",_gd:l.graphDiv},f(l.yaxis),l.yaxis.setScale();var A=l.yaxis.domain[0],M=l.aaxis=h({},t.aaxis,{range:[x,b-w-k],side:"left",_counterangle:30,tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+s*_],_axislayer:l.layers.aaxis,_gridlayer:l.layers.agrid,_pos:0,_gd:l.graphDiv,_id:"y",_length:i,_gridpath:"M0,0l"+a+",-"+i/2});f(M);var T=l.baxis=h({},t.baxis,{range:[b-x-k,w],side:"bottom",_counterangle:30,domain:l.xaxis.domain,_axislayer:l.layers.baxis,_gridlayer:l.layers.bgrid,_counteraxis:l.aaxis,_pos:0,_gd:l.graphDiv,_id:"x",_length:i,_gridpath:"M0,0l-"+i/2+",-"+a});f(T),M._counteraxis=T;var E=l.caxis=h({},t.caxis,{range:[b-x-w,k],side:"right",_counterangle:30,tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+s*_],_axislayer:l.layers.caxis,_gridlayer:l.layers.cgrid,_counteraxis:l.baxis,_pos:0,_gd:l.graphDiv,_id:"y",_length:i,_gridpath:"M0,0l-"+a+","+i/2});f(E);var L="M"+r+","+(n+a)+"h"+i+"l-"+i/2+",-"+a+"Z";l.clipDef.select("path").attr("d",L),l.layers.plotbg.select("path").attr("d",L);var S="translate("+r+","+n+")";l.plotContainer.selectAll(".scatterlayer,.maplayer,.zoom").attr("transform",S);var C="translate("+r+","+(n+a)+")";l.layers.baxis.attr("transform",C),l.layers.bgrid.attr("transform",C);var z="translate("+(r+i/2)+","+n+")rotate(30)";l.layers.aaxis.attr("transform",z),l.layers.agrid.attr("transform",z);var P="translate("+(r+i/2)+","+n+")rotate(-30)";l.layers.caxis.attr("transform",P),l.layers.cgrid.attr("transform",P),l.drawAxes(!0),l.plotContainer.selectAll(".crisp").classed("crisp",!1);var R=l.layers.axlines;R.select(".aline").attr("d",M.showline?"M"+r+","+(n+a)+"l"+i/2+",-"+a:"M0,0").call(c.stroke,M.linecolor||"#000").style("stroke-width",(M.linewidth||0)+"px"),R.select(".bline").attr("d",T.showline?"M"+r+","+(n+a)+"h"+i:"M0,0").call(c.stroke,T.linecolor||"#000").style("stroke-width",(T.linewidth||0)+"px"),R.select(".cline").attr("d",E.showline?"M"+(r+i/2)+","+n+"l"+i/2+","+a:"M0,0").call(c.stroke,E.linecolor||"#000").style("stroke-width",(E.linewidth||0)+"px")},x.drawAxes=function(t){var e=this,r=e.graphDiv,n=e.id.substr(7)+"title",i=e.aaxis,a=e.baxis,o=e.caxis;if(d.doTicks(r,i,!0),d.doTicks(r,a,!0),d.doTicks(r,o,!0),t){var s=Math.max(i.showticklabels?i.tickfont.size/2:0,(o.showticklabels?.75*o.tickfont.size:0)+("outside"===o.ticks?.87*o.ticklen:0));v.draw(r,"a"+n,{propContainer:i,propName:e.id+".aaxis.title",dfltName:"Component A",attributes:{x:e.x0+e.w/2,y:e.y0-i.titlefont.size/3-s,"text-anchor":"middle"}});var l=(a.showticklabels?a.tickfont.size:0)+("outside"===a.ticks?a.ticklen:0)+3;v.draw(r,"b"+n,{propContainer:a,propName:e.id+".baxis.title",dfltName:"Component B",attributes:{x:e.x0-l,y:e.y0+e.h+.83*a.titlefont.size+l,"text-anchor":"middle"}}),v.draw(r,"c"+n,{propContainer:o,propName:e.id+".caxis.title",dfltName:"Component C",attributes:{x:e.x0+e.w+l,y:e.y0+e.h+.83*o.titlefont.size+l,"text-anchor":"middle"}})}};var w=y.MINZOOM/2+.87,k="m-0.87,.5h"+w+"v3h-"+(w+5.2)+"l"+(w/2+2.6)+",-"+(.87*w+4.5)+"l2.6,1.5l-"+w/2+","+.87*w+"Z",A="m0.87,.5h-"+w+"v3h"+(w+5.2)+"l-"+(w/2+2.6)+",-"+(.87*w+4.5)+"l-2.6,1.5l"+w/2+","+.87*w+"Z",M="m0,1l"+w/2+","+.87*w+"l2.6,-1.5l-"+(w/2+2.6)+",-"+(.87*w+4.5)+"l-"+(w/2+2.6)+","+(.87*w+4.5)+"l2.6,1.5l"+w/2+",-"+.87*w+"Z",T="m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2Z",E=!0;x.initInteractions=function(){function t(t,e,r){var n=j.getBoundingClientRect();x=e-n.left,w=r-n.top,L={a:N.aaxis.range[0],b:N.baxis.range[1],c:N.caxis.range[1]},C=L,S=N.aaxis.range[1]-L.a,z=o(N.graphDiv._fullLayout[N.id].bgcolor).getLuminance(),P="M0,"+N.h+"L"+N.w/2+", 0L"+N.w+","+N.h+"Z",R=!1,O=D.append("path").attr("class","zoombox").style({fill:z>.2?"rgba(0,0,0,0)":"rgba(255,255,255,0)","stroke-width":0}).attr("d",P),I=D.append("path").attr("class","zoombox-corners").style({fill:c.background,stroke:c.defaultLine,"stroke-width":1,opacity:0}).attr("d","M0,0Z"),p()}function e(t,e){return 1-e/N.h}function r(t,e){return 1-(t+(N.h-e)/Math.sqrt(3))/N.w}function n(t,e){return(t-(N.h-e)/Math.sqrt(3))/N.w}function a(t,i){var a=x+t,o=w+i,s=Math.max(0,Math.min(1,e(x,w),e(a,o))),l=Math.max(0,Math.min(1,r(x,w),r(a,o))),c=Math.max(0,Math.min(1,n(x,w),n(a,o))),u=(s/2+c)*N.w,f=(1-s/2-l)*N.w,h=(u+f)/2,d=f-u,p=(1-s)*N.h,g=p-d/_;d.2?"rgba(0,0,0,0.4)":"rgba(255,255,255,0.3)").duration(200),I.transition().style("opacity",1).duration(200),R=!0)}function 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t={};t[N.id+".aaxis.min"]=0,t[N.id+".baxis.min"]=0,t[N.id+".caxis.min"]=0,F.emit("plotly_doubleclick",null),s.relayout(F,t)}var x,w,L,S,C,z,P,R,O,I,N=this,j=N.layers.plotbg.select("path").node(),F=N.graphDiv,D=N.layers.zoom,B={element:j,gd:F,plotinfo:{plot:D},doubleclick:v,subplot:N.id,prepFn:function(e,r,n){B.xaxes=[N.xaxis],B.yaxes=[N.yaxis];var i=F._fullLayout.dragmode;e.shiftKey&&(i="pan"===i?"zoom":"pan"),"lasso"===i?B.minDrag=1:B.minDrag=void 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n=t("../scatter/attributes"),i=t("../../components/colorscale/color_attributes"),a=t("../../constants/gl2d_dashes"),o=t("../../constants/gl_markers"),s=t("../../lib/extend").extendFlat,l=t("../../lib/extend").extendDeep,c=n.line,u=n.marker,f=u.line;e.exports={x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,text:s({},n.text,{}),mode:{valType:"flaglist",flags:["lines","markers"],extras:["none"]},line:{color:c.color,width:c.width,dash:{valType:"enumerated",values:Object.keys(a),dflt:"solid"}},marker:l({},i("marker"),{symbol:{valType:"enumerated",values:Object.keys(o),dflt:"circle",arrayOk:!0},size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,opacity:u.opacity,showscale:u.showscale,line:l({},i("marker.line"),{width:f.width})}),connectgaps:n.connectgaps,fill:s({},n.fill,{values:["none","tozeroy","tozerox"]}),fillcolor:n.fillcolor,_nestedModules:{error_x:"ErrorBars",error_y:"ErrorBars","marker.colorbar":"Colorbar"}}},{"../../components/colorscale/color_attributes":311,"../../constants/gl2d_dashes":367,"../../constants/gl_markers":369,"../../lib/extend":377,"../scatter/attributes":556}],590:[function(t,e,r){"use 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p,g=d("a"),v=d("b"),m=d("c");if(g?(p=g.length,v?(p=Math.min(p,v.length),m&&(p=Math.min(p,m.length))):p=m?Math.min(p,m.length):0):v&&m&&(p=Math.min(v.length,m.length)),!p)return void(e.visible=!1);g&&p"),s}}},{"../../plots/cartesian/axes":405,"../scatter/hover":565}],597:[function(t,e,r){"use strict";var n={};n.attributes=t("./attributes"),n.supplyDefaults=t("./defaults"),n.colorbar=t("../scatter/colorbar"),n.calc=t("./calc"),n.plot=t("./plot"),n.style=t("./style"),n.hoverPoints=t("./hover"),n.selectPoints=t("./select"),n.moduleType="trace",n.name="scatterternary",n.basePlotModule=t("../../plots/ternary"),n.categories=["ternary","symbols","markerColorscale","showLegend"],n.meta={},e.exports=n},{"../../plots/ternary":461,"../scatter/colorbar":559,"./attributes":593,"./calc":594,"./defaults":595,"./hover":596,"./plot":598,"./select":599,"./style":600}],598:[function(t,e,r){"use strict";var n=t("../scatter/plot");e.exports=function(t,e){var r=t.plotContainer;r.select(".scatterlayer").selectAll("*").remove();for(var i={x:function(){return t.xaxis},y:function(){return t.yaxis},plot:r},a=new Array(e.length),o=t.graphDiv.calcdata,s=0;se){for(var r=g/e,n=[0|Math.floor(t[0].shape[0]*r+1),0|Math.floor(t[0].shape[1]*r+1)],i=n[0]*n[1],o=0;or;++r)this.showContour[r]&&(e=!0,t[r]=this.scene.contourLevels[r]);e&&this.surface.update({levels:t})},v.update=function(t){var e,r=this.scene,n=r.fullSceneLayout,a=this.surface,s=t.opacity,l=i(t.colorscale,s),u=t.z,h=t.x,d=t.y,g=n.xaxis,v=n.yaxis,m=n.zaxis,y=r.dataScale,b=u[0].length,x=u.length,_=[c(new Float32Array(b*x),[b,x]),c(new Float32Array(b*x),[b,x]),c(new Float32Array(b*x),[b,x])],w=_[0],k=_[1],A=r.contourLevels;this.data=t,f(_[2],function(t,e){return m.d2l(u[e][t])*y[2]}),Array.isArray(h[0])?f(w,function(t,e){return g.d2l(h[e][t])*y[0]}):f(w,function(t){return g.d2l(h[t])*y[0]}),Array.isArray(d[0])?f(k,function(t,e){return v.d2l(d[e][t])*y[1]}):f(k,function(t,e){return v.d2l(d[e])*y[1]});var M={colormap:l,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacity:1};if(M.intensityBounds=[t.cmin,t.cmax],t.surfacecolor){var T=c(new Float32Array(b*x),[b,x]);f(T,function(e,r){return t.surfacecolor[r][e]}),_.push(T)}else M.intensityBounds[0]*=y[2],M.intensityBounds[1]*=y[2];this.dataScale=o(_),t.surfacecolor&&(M.intensity=_.pop()),"opacity"in t&&t.opacity<1&&(M.opacity=.25*t.opacity);var E=[!0,!0,!0],L=["x","y","z"];for(e=0;3>e;++e){var S=t.contours[L[e]];E[e]=S.highlight,M.showContour[e]=S.show||S.highlight,M.showContour[e]&&(M.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,M.levels[e]=A[e],a.highlightColor[e]=M.contourColor[e]=p(S.color),S.usecolormap?a.highlightTint[e]=M.contourTint[e]=0:a.highlightTint[e]=M.contourTint[e]=1,M.contourWidth[e]=S.width):this.showContour[e]=!1,S.highlight&&(M.dynamicColor[e]=p(S.highlightcolor),M.dynamicWidth[e]=S.highlightwidth))}M.coords=_,a.update(M),a.visible=t.visible,a.enableDynamic=E,a.snapToData=!0,"lighting"in t&&(a.ambientLight=t.lighting.ambient,a.diffuseLight=t.lighting.diffuse,a.specularLight=t.lighting.specular,a.roughness=t.lighting.roughness,a.fresnel=t.lighting.fresnel),"lightposition"in t&&(a.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z]),s&&1>s&&(a.supportsTransparency=!0)},v.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=s},{"../../lib/str2rgbarray":394,"gl-surface3d":221,ndarray:253,"ndarray-fill":246,"ndarray-homography":251,"ndarray-ops":252,tinycolor2:274}],605:[function(t,e,r){"use strict";function n(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}var i=t("../../lib"),a=t("../../components/colorscale/defaults"),o=t("./attributes");e.exports=function(t,e,r,s){function l(r,n){return i.coerce(t,e,o,r,n)}var c,u,f=l("z");if(!f)return void(e.visible=!1);var h=f[0].length,d=f.length;if(l("x"),l("y"),!Array.isArray(e.x))for(e.x=[],c=0;h>c;++c)e.x[c]=c;if(l("text"),!Array.isArray(e.y))for(e.y=[],c=0;d>c;++c)e.y[c]=c;["lighting.ambient","lighting.diffuse","lighting.specular","lighting.roughness","lighting.fresnel","lightposition.x","lightposition.y","lightposition.z","hidesurface","opacity"].forEach(function(t){l(t)});var p=l("surfacecolor");l("colorscale");var g=["x","y","z"];for(c=0;3>c;++c){var v="contours."+g[c],m=l(v+".show"),y=l(v+".highlight");if(m||y)for(u=0;3>u;++u)l(v+".project."+g[u]);m&&(l(v+".color"),l(v+".width"),l(v+".usecolormap")),y&&(l(v+".highlightcolor"),l(v+".highlightwidth"))}p||(n(t,"zmin","cmin"),n(t,"zmax","cmax"),n(t,"zauto","cauto")),a(t,e,s,l,{prefix:"",cLetter:"c"})}},{"../../components/colorscale/defaults":313,"../../lib":382,"./attributes":601}],606:[function(t,e,r){"use strict";var n={};n.attributes=t("./attributes"),n.supplyDefaults=t("./defaults"),n.colorbar=t("./colorbar"),n.calc=t("./calc"),n.plot=t("./convert"),n.moduleType="trace",n.name="surface",n.basePlotModule=t("../../plots/gl3d"),n.categories=["gl3d","noOpacity"],n.meta={},e.exports=n},{"../../plots/gl3d":441,"./attributes":601,"./calc":602,"./colorbar":603,"./convert":604,"./defaults":605}]},{},[12])(12)}); \ No newline at end of file diff --git a/inst/htmlwidgets/plotly.yaml b/inst/htmlwidgets/plotly.yaml index 01777e0659..99b14025f8 100644 --- a/inst/htmlwidgets/plotly.yaml +++ b/inst/htmlwidgets/plotly.yaml @@ -1,6 +1,6 @@ dependencies: - name: plotlyjs - version: 1.13.0 + version: 1.14.1 src: "htmlwidgets/lib/plotlyjs" script: plotly-latest.min.js stylesheet: plotly-htmlwidgets.css From d7053712324649d93a55e3253f0dcf5b749804ba Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Wed, 13 Jul 2016 15:25:35 -0500 Subject: [PATCH 71/73] provide scaling escape hatch via I(); add alpha argument; get missing values + group_by() working; various bug fixes and tests --- NEWS | 18 +- R/add.R | 55 ++--- R/layers2traces.R | 14 +- R/plotly.R | 29 ++- R/plotly_build.R | 296 ++++++++++++++++---------- R/sysdata.rda | Bin 9730 -> 9805 bytes R/utils.R | 36 ++-- README.md | 14 +- man/add_trace.Rd | 21 +- man/plot_ly.Rd | 29 ++- tests/testthat/test-plotly-color.R | 80 +++++++ tests/testthat/test-plotly-group.R | 54 +++++ tests/testthat/test-plotly-linetype.R | 42 ++++ tests/testthat/test-plotly-symbol.R | 39 ++++ tests/testthat/test-plotly.R | 138 +++++------- 15 files changed, 583 insertions(+), 282 deletions(-) create mode 100644 tests/testthat/test-plotly-color.R create mode 100644 tests/testthat/test-plotly-group.R create mode 100644 tests/testthat/test-plotly-linetype.R create mode 100644 tests/testthat/test-plotly-symbol.R diff --git a/NEWS b/NEWS index ff92aede34..55b60747fe 100644 --- a/NEWS +++ b/NEWS @@ -5,23 +5,25 @@ BREAKING CHANGES & IMPROVEMENTS: * Formulas (instead of plain expressions) are now required when using variable mappings. For example, `plot_ly(mtcars, x = wt, y = mpg, color = vs)` should now be `plot_ly(mtcars, x = ~wt, y = ~mpg, color = ~vs)`. This is a major breaking change, but it is necessary to ensure that evaluation is correct in all contexts (as a result, `evaluate` argument is now deprecated as it is no longer needed). It also has the benefit of being easier to program with (i.e., writing your own custom functions that wrap `plot_ly()`). For more details, see the [lazyeval vignette](https://github.com/hadley/lazyeval/blob/master/vignettes/lazyeval.Rmd) * The data structure used to represent plotly objects is now an htmlwidget object (instead of a data frame with a special attribute tracking visual mappings). As a result, the `as.widget()` function has been deprecated, and [serialization/memory leak problems](https://github.com/rstudio/shiny/issues/1151) are no longer an issue. This change also implies that arbitrary data manipulation functions can no longer be intermingled inside a plot pipeline, but plotly methods for dplyr's data manipulation verbs are now provided (see `?plotly_data` for examples). * The `group` variable mapping no longer create multiple traces, but instead defines "gaps" within a trace (fixes #418, #381, #577). Groupings should be declared via the new `group_by()` function (see `help(plotly_data)` for examples) instead of the `group` argument (which is now deprecated). -* `plot_ly()` now _initializes_ a plotly object (i.e., won't add a scatter trace by default), meaning that something like `plot_ly(x = 1:10, y = 1:10) %>% add_trace(y = 10:1)` will create one trace, instead of two. However, `plot_ly()` will draw a trace if you manually specify a trace type, for example, `plot_ly(x = 1:10, y = 1:10, type = "scatter") %>% add_trace(y = 10:1)` will draw two scatter traces. If no trace type is provided, a sensible type is inferred from the supplied data, and automatically added (i.e., `plot_ly(x = rnorm(100))` now creates a histogram). +* `plot_ly()` now _initializes_ a plotly object (i.e., won't add a scatter trace by default), meaning that something like `plot_ly(x = 1:10, y = 1:10) %>% add_trace(y = 10:1)` creates one trace, instead of two. That being said, if you manually specify a trace type in `plot_ly()`, it will add a layer with that trace type (e.g. `plot_ly(x = 1:10, y = 1:10, type = "scatter") %>% add_trace(y = 10:1)` draws two scatter traces). If no trace type is provided, a sensible type is inferred from the supplied data, and automatically added (i.e., `plot_ly(x = rnorm(100))` now creates a histogram). * The `inherit` argument is deprecated. Any arguments/attributes specified in `plot_ly()` will automatically be passed along to additional traces added via `add_trace()` (or any of it's `add_*()` siblings). -* Scales for aesthetics (e.g., `color`, `symbol`, `linetype`) are now applied at the plot-level, instead of the trace level. To avoid scaling, wrap the aesthetic value with `I()`, for example: `plot_ly(x = 1:10, y = 1:10, color = I("red"))`. +* Aesthetic scaling (e.g., `color`, `symbol`, `size`) is applied at the plot-level, instead of the trace level. NEW FEATURES & IMPROVEMENTS: -* Error checking for trace and layout attributes. -* New `add_polygons()`/`add_ribbons()`/`add_area()`/`add_segments()`/`add_lines()`/`add_markers()`/`add_paths()`/`add_text()` functions provide a shorthand for common visual markings. -* New `plotly_data()` function for returning/inspecting data frame(s) associated with a plotly object. -* New `plotly_json()` function for inspecting the data sent to plotly.js (as an R list or JSON). -* Added `linetype`/`linetypes` arguments for mapping discrete variables to line types (this works very much like the `symbol`/`symbols`). +* Added `linetype`/`linetypes` arguments for mapping discrete variables to line types (works very much like the `symbol`/`symbols`). +* Scaling for aesthetics can be avoided via `I()` (closes #428). This is mainly useful for changing default appearance (e.g. `plot_ly(x = 1:10, y = 1:10, color = I(rainbow(10)))`). +* Symbols and linetypes now recognize `pch` and `lty` values (e.g. `plot_ly(x = 1:25, y = 1:25, symbol = I(0:24))`) +* A new `alpha` argument controls the alpha transparency of `color` (e.g. `plot_ly(x = 1:10, y = 1:10, color = I("red"), alpha = 0.1)`). * Added a `sizes` argument for controlling the range of marker size scaling. +* New `add_polygons()`/`add_ribbons()`/`add_area()`/`add_segments()`/`add_lines()`/`add_markers()`/`add_paths()`/`add_text()` functions provide a shorthand for common special cases of `add_trace()`. * New `toWebGL()` function for easy conversion from SVG to WebGL. * New `export()` function makes it easy to save plots as png/jpeg/pdf (fixes #311). +* Misspecified trace/layout attributes produce a warning. +* New `plotly_data()` function for returning/inspecting data frame(s) associated with a plotly object. +* New `plotly_json()` function for inspecting the data sent to plotly.js (as an R list or JSON). * `layout()` is now a generic function and uses method dispatch to avoid conflicts with `graphics:layout()` (fixes #464). - OTHER CHANGES: * Upgraded to plotly.js v1.14.1 -- https://github.com/plotly/plotly.js/releases/tag/v1.14.1 diff --git a/R/add.R b/R/add.R index 7736066b19..aabe29ea32 100644 --- a/R/add.R +++ b/R/add.R @@ -30,6 +30,7 @@ add_data <- function(p, data = NULL) { #' @param ymin a variable used to define the lower boundary of a polygon. #' @param ymax a variable used to define the upper boundary of a polygon. #' @param color Either a variable name or a vector to use for color mapping. +#' @param alpha alpha channel applied to color (on 0-1 scale). #' @param symbol Either a variable name or a (discrete) vector to use for symbol encoding. #' @param size A variable name or numeric vector to encode the size of markers. #' @param linetype Either a variable name or a (discrete) vector to use for linetype encoding. @@ -84,26 +85,18 @@ add_trace <- function(p, ..., #' @inheritParams add_trace #' @rdname add_trace -#' @param fill fill color. Supplies defaults for -#' \url{https://plot.ly/r/reference/#scatter-marker-color} -#' @param stroke stroke color. Supplies defaults for -#' \url{https://plot.ly/r/reference/#scatter-marker-line-color} -#' @param alpha alpha channel for fill/stroke (on 0-1 scale). #' @export -add_markers <- function(p, x = NULL, y = NULL, fill = "rgba(31, 119, 180, 1)", - stroke = "rgba(31, 119, 180, 1)", alpha = 1, ...) { +add_markers <- function(p, x = NULL, y = NULL, z = NULL, ...) { if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { stop("Must supply `x` attribute", call. = FALSE) } if (is.null(y <- y %||% p$x$attrs[[1]][["y"]])) { stop("Must supply `y` attribute", call. = FALSE) } - # TODO: should stroke/fill inherit from the top-level? - marker <- modify_list(p$x$attrs[[1]][["marker"]], list(...)[["marker"]]) - marker <- modify_list(marker, list(color = toRGB(fill, alpha))) - marker$line <- modify_list(marker$line, list(color = toRGB(stroke, alpha))) + hasZ <- !is.null(z <- z %||% p$x$attrs[[1]][["z"]]) + type <- if (hasZ) "scatter3d" else "scatter" add_trace( - p, x = x, y = y, marker = marker, type = "scatter", mode = "markers", ... + p, x = x, y = y, type = type, mode = "markers", ... ) } @@ -111,7 +104,7 @@ add_markers <- function(p, x = NULL, y = NULL, fill = "rgba(31, 119, 180, 1)", #' @inheritParams add_trace #' @rdname add_trace #' @export -add_text <- function(p, x = NULL, y = NULL, text = NULL, ...) { +add_text <- function(p, x = NULL, y = NULL, z = NULL, text = NULL, ...) { if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { stop("Must supply `x` attribute", call. = FALSE) } @@ -121,22 +114,26 @@ add_text <- function(p, x = NULL, y = NULL, text = NULL, ...) { if (is.null(text <- text %||% p$x$attrs[[1]][["text"]])) { stop("Must supply `text` attribute", call. = FALSE) } - add_trace(p, x = x, y = y, text = text, type = "scatter", mode = "text", ...) + hasZ <- !is.null(z <- z %||% p$x$attrs[[1]][["z"]]) + type <- if (hasZ) "scatter3d" else "scatter" + add_trace(p, x = x, y = y, text = text, type = type, mode = "text", ...) } #' @inheritParams add_trace #' @rdname add_trace #' @export -add_paths <- function(p, x = NULL, y = NULL, ...) { +add_paths <- function(p, x = NULL, y = NULL, z = NULL, ...) { if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { stop("Must supply `x` attribute", call. = FALSE) } if (is.null(y <- y %||% p$x$attrs[[1]][["y"]])) { stop("Must supply `y` attribute", call. = FALSE) } + hasZ <- !is.null(z <- z %||% p$x$attrs[[1]][["z"]]) + type <- if (hasZ) "scatter3d" else "scatter" add_trace_classed( - p, x = x, y = y, class = "plotly_path", type = "scatter", mode = "lines", ... + p, x = x, y = y, class = "plotly_path", type = type, mode = "lines", ... ) } @@ -148,19 +145,18 @@ add_paths <- function(p, x = NULL, y = NULL, ...) { #' group_by(city) %>% #' plot_ly(x = ~date, y = ~median) %>% #' add_lines(fill = "black") -add_lines <- function(p, x = NULL, y = NULL, stroke = NULL, alpha = 1, ...) { +add_lines <- function(p, x = NULL, y = NULL, z = NULL, ...) { if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { stop("Must supply `x` attribute", call. = FALSE) } if (is.null(y <- y %||% p$x$attrs[[1]][["y"]])) { stop("Must supply `y` attribute", call. = FALSE) } - - line <- modify_list(p$x$attrs[[1]][["line"]], list(...)[["line"]]) - line <- modify_list(line, list(color = toRGB(stroke, alpha))) + hasZ <- !is.null(z <- z %||% p$x$attrs[[1]][["z"]]) + type <- if (hasZ) "scatter3d" else "scatter" add_trace_classed( - p, x = x, y = y, line = line, class = "plotly_line", type = "scatter", mode = "lines", ... + p, x = x, y = y, class = "plotly_line", type = type, mode = "lines", ... ) } @@ -223,9 +219,7 @@ add_polygons <- function(p, x = NULL, y = NULL, ...) { #' plot_ly(economics, x = ~date) %>% #' add_ribbons(ymin = ~pce - 1e3, ymax = ~pce + 1e3) -add_ribbons <- function(p, x = NULL, ymin = NULL, ymax = NULL, - fill = "rgba(31, 119, 180, 1)", - stroke = "transparent", alpha = 1, ...) { +add_ribbons <- function(p, x = NULL, ymin = NULL, ymax = NULL, ...) { if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) { stop("Must supply `x` attribute", call. = FALSE) } @@ -235,15 +229,11 @@ add_ribbons <- function(p, x = NULL, ymin = NULL, ymax = NULL, if (is.null(ymax <- ymax %||% p$x$attrs[[1]][["ymax"]])) { stop("Must supply `ymax` attribute", call. = FALSE) } - # TODO: should stroke/fill inherit from the top-level? - # probably not, since fill conflicts with scatter's fill attribute! - line <- modify_list(p$x$attrs[[1]][["line"]], list(...)[["line"]]) - line <- modify_list(line, list(color = toRGB(stroke, alpha))) add_trace_classed( p, class = c("plotly_ribbon", "plotly_polygon"), x = x, ymin = ymin, ymax = ymax, type = "scatter", mode = "lines", - line = line, fillcolor = toRGB(fill, alpha), fill = "toself", ... + fill = "toself", ... ) } @@ -426,9 +416,9 @@ add_surface <- function(p, z = NULL, ...) { #' @export #' @examples #' plot_ly() %>% add_scattergeo() -add_scattergeo <- function(p, ...) { +add_scattergeo <- function(p, geo = "geo", ...) { add_trace_classed( - p, class = "plotly_scattergeo", type = "scattergeo", ... + p, class = "plotly_scattergeo", type = "scattergeo", geo = geo, ... ) } @@ -450,9 +440,6 @@ add_choropleth <- function(p, z = NULL, ...) { ) } - - - # attach a class to a trace which informs data processing in plotly_build add_trace_classed <- function(p, class = "plotly_polygon", ...) { p <- add_trace(p, ...) diff --git a/R/layers2traces.R b/R/layers2traces.R index 65b0f00237..3686fc2153 100644 --- a/R/layers2traces.R +++ b/R/layers2traces.R @@ -723,7 +723,12 @@ pch2symbol <- function(x) { "O" = "circle-open", "+" = "cross-thin-open" ) - as.character(lookup[as.character(x)]) + x <- as.character(x) + idx <- x %in% names(lookup) + if (any(idx)) { + x[idx] <- lookup[x[idx]] + } + as.character(x) } # Convert R lty line type codes to plotly "dash" codes. @@ -756,5 +761,10 @@ lty2dash <- function(x) { "224282F2" = "dash", "F1" = "dash" ) - as.character(lookup[as.character(x)]) + x <- as.character(x) + idx <- x %in% names(lookup) + if (any(idx)) { + x[idx] <- lookup[x[idx]] + } + as.character(x) } diff --git a/R/plotly.R b/R/plotly.R index 334be23b19..7de4c32198 100644 --- a/R/plotly.R +++ b/R/plotly.R @@ -10,16 +10,25 @@ #' Note that acceptable arguments depend on the value of \code{type}. #' @param type A character string describing the type of trace. If \code{NULL} #' (the default), the initial trace type is determined by \code{add_trace} -#' @param color Either a variable name or a vector to use for color mapping. +#' @param color A formula containing a name or expression. +#' Values are scaled and mapped to color codes based on the value of +#' \code{colors} and \code{alpha}. To avoid scaling, wrap with \code{\link{I}()}, +#' and provide value(s) that can be converted to rgb color codes by +#' \code{\link[grDevices]{col2rgb}()}. #' @param colors Either a colorbrewer2.org palette name (e.g. "YlOrRd" or "Blues"), #' or a vector of colors to interpolate in hexadecimal "#RRGGBB" format, #' or a color interpolation function like \code{colorRamp()}. -#' @param symbol Either a variable name or a (discrete) vector to use for symbol encoding. +#' @param alpha A number between 0 and 1 specifying the alpha channel applied to color. +#' @param symbol A formula containing a name or expression. +#' Values are scaled and mapped to symbols based on the value of \code{symbols}. +#' To avoid scaling, wrap with \code{\link{I}()}, and provide valid +#' \code{\link{pch}()} values and/or valid plotly symbol(s) as a string +#' \url{} #' @param symbols A character vector of symbol types. For possible values, see \link{schema}. #' @param linetype Either a variable name or a (discrete) vector to use for linetype encoding. #' @param linetypes A character vector of line types. For possible values, see \link{schema}. #' @param size A variable name or numeric vector to encode the size of markers. -#' @param sizes a numeric vector of length 2 used to scale sizes to pixels. +#' @param sizes A numeric vector of length 2 used to scale sizes to pixels. #' @param width Width in pixels (optional, defaults to automatic sizing). #' @param height Height in pixels (optional, defaults to automatic sizing). #' @param source Only relevant for \link{event_data}. @@ -35,15 +44,15 @@ #' plot_ly(economics, x = ~date, y = ~pop) #' # plot_ly() doesn't require data frame(s), which allows one to take #' # advantage of trace type(s) designed specifically for numeric matrices -#' plot_ly(z = volcano) -#' plot_ly(z = volcano, type = "surface") +#' plot_ly(z = ~volcano) +#' plot_ly(z = ~volcano, type = "surface") #' #' # plotly has a functional interface: every plotly function takes a plotly #' # object as it's first input argument and returns a modified plotly object -#' add_points(plot_ly(economics, x = ~date, y = ~unemploy/pop)) +#' add_lines(plot_ly(economics, x = ~date, y = ~unemploy/pop)) #' #' # To make code more readable, plotly imports the pipe operator from magrittr -#' economics %>% plot_ly(x = ~date, y = ~unemploy/pop) %>% add_points() +#' economics %>% plot_ly(x = ~date, y = ~unemploy/pop) %>% add_lines() #' #' # Attributes defined via plot_ly() set 'global' attributes that #' # are carried onto subsequent traces @@ -66,9 +75,12 @@ #' } #' plot_ly <- function(data = data.frame(), ..., type = NULL, group, - color, colors = NULL, symbol, symbols = NULL, + color, colors = NULL, alpha = 1, symbol, symbols = NULL, size, sizes = c(10, 100), linetype, linetypes = NULL, width = NULL, height = NULL, source = "A") { + if (!is.data.frame(data)) { + stop("First argument, `data`, must be a data frame.", call. = FALSE) + } # "native" plotly arguments attrs <- list(...) # warn about old arguments that are no longer supported @@ -96,6 +108,7 @@ plot_ly <- function(data = data.frame(), ..., type = NULL, group, attrs$size <- if (!missing(size)) size attrs$colors <- colors + attrs$alpha <- alpha attrs$symbols <- symbols attrs$linetypes <- linetypes attrs$sizes <- sizes diff --git a/R/plotly_build.R b/R/plotly_build.R index 6188b52e64..a03a658fe9 100644 --- a/R/plotly_build.R +++ b/R/plotly_build.R @@ -53,13 +53,23 @@ plotly_build.plotly <- function(p) { dats <- Map(function(x, y) { + # perform the evaluation + dat <- plotly_data(p, y) + trace <- structure( + rapply(x, eval_attr, data = dat, how = "list"), + class = oldClass(x) + ) + # determine trace type (if not specified, can depend on the # of data points) + # note that this should also determine a sensible mode, if appropriate + trace <- verify_type(trace) + # add sensible axis names to layout for (i in c("x", "y", "z")) { nm <- paste0(i, "axis") - idx <- which(names(x) %in% i) + idx <- which(names(trace) %in% i) if (length(idx) == 1) { title <- deparse2(x[[idx]]) - if (is3d(x$type) || i == "z") { + if (is3d(trace$type) || i == "z") { p$x$layout$scene[[nm]]$title <<- p$x$layout$scene[[nm]]$title %||% title } else { p$x$layout[[nm]]$title <<- p$x$layout[[nm]]$title %||% title @@ -67,81 +77,90 @@ plotly_build.plotly <- function(p) { } } - # perform the evaluation - # TODO: remove/warn about missing values here? Provide a way to control na.color? - dat <- plotly_data(p, y) - x <- structure(rapply(x, eval_attr, data = dat, how = "list"), class = class(x)) - # ensure we have a trace type (depends on the # of data points) - x <- verify_type(x) - - # do some attribute type checking for special trace types - if (inherits(x, c("plotly_heatmap", "plotly_surface", "plotly_contour"))) { - if (!is.matrix(x$z)) { - stop("`z` must be a matrix", call. = FALSE) - } - if (!is.numeric(x$z)) { - stop("`z` must be numeric", call. = FALSE) + # attribute type checking for special trace types + if (inherits(trace, c("plotly_heatmap", "plotly_surface", "plotly_contour"))) { + if (!is.matrix(trace[["z"]]) || !is.numeric(trace[["z"]])) { + stop("`z` must be a numeric matrix", call. = FALSE) } } - - # TODO: if we ever provide some semantics for statistics, it should probably go here + # TODO: if we ever provide some semantics for summary statistics, + # it should go here # gather the "built" or "evaluated" data nobs <- NROW(dat) - attrLengths <- lengths(x) + attrLengths <- lengths(trace) if (nobs == 0) nobs <- max(attrLengths) - isVar <- attrLengths == nobs - builtData <- data.frame(x[isVar & !names(x) %in% c("colors", "symbols", "linetypes")]) + # NOTE: it's hard to distinguish variables/constants when there is 1 row. + # Fortunately, variable mappings don't make much sense with one observation, + # and that is the whole point of "recovering" the built data here, so we just ignore + # cases with one row + isVar <- attrLengths > 1 & attrLengths == nobs & !vapply(trace, is.matrix, logical(1)) + builtData <- data.frame(trace[isVar], stringsAsFactors = FALSE) - # find any groupings, so we can arrange the data now, - # and insert missing values (to create gaps between traces) later - grps <- as.character(dplyr::groups(dat)) - # does grouping even make sense for this trace type? - hasGrp <- inherits(x, c("plotly_segment", "plotly_path", "plotly_line", "plotly_polygon")) || - (grepl("scatter", x$type) && grepl("lines", x$mode %||% "lines")) - if (length(grps) && hasGrp) { - if (isTRUE(x$connectgaps)) { - stop( - "Can't set connectgaps=T in a trace that has 1 or more groups.", - call. = FALSE + if (NROW(builtData) > 0) { + # Build the index used to split one "trace" into multiple traces + isAsIs <- vapply(builtData, function(x) inherits(x, "AsIs"), logical(1)) + isDiscrete <- vapply(builtData, is.discrete, logical(1)) + # note: can only have one linetype per trace + isSplit <- names(builtData) %in% "linetype" | + !isAsIs & isDiscrete & names(builtData) %in% c("symbol", "color") + if (any(isSplit)) { + paste2 <- function(x, y) paste(x, y, sep = "
") + builtData$.plotlyTraceIndex <- Reduce(paste2, builtData[isSplit]) + } + # Build the index used to determine grouping (later on, NAs are inserted + # via group2NA() to create the groups). This is done in 2 parts: + # 1. Translate missing values on positional scales to a grouping variable. + # If grouping isn't relevant for this trace, a warning is thrown since + # NAs are removed. + # 2. The grouping from (1) and any groups detected via dplyr::groups() + # are combined into a single grouping variable, .plotlyGroupIndex + isComplete <- complete.cases(builtData[names(builtData) %in% c("x", "y", "z")]) + # is grouping relevant for this geometry? (e.g., grouping doesn't effect a scatterplot) + hasGrp <- inherits(trace, paste0("plotly_", c("segment", "path", "line", "polygon"))) || + (grepl("scatter", trace[["type"]]) && grepl("lines", trace[["mode"]])) + # warn about missing values if groups aren't relevant for this trace type + if (any(!isComplete) && !hasGrp) { + warning("Ignoring ", sum(!isComplete), " observations", call. = FALSE) + } + builtData$.plotlyGroupIndex <- cumsum(!isComplete) + builtData <- builtData[isComplete, ] + grps <- tryCatch( + as.character(dplyr::groups(dat)), + error = function(e) character(0) + ) + if (length(grps) && hasGrp) { + if (isTRUE(trace[["connectgaps"]])) { + stop( + "Can't use connectgaps=TRUE when data has group(s).", + call. = FALSE + ) + } + builtData$.plotlyGroupIndex <- interaction( + interaction(dat[isComplete, grps, drop = FALSE]), + builtData$.plotlyGroupIndex %||% "" ) } - builtData$.plotlyGroupIndex <- interaction(dat[, grps, drop = FALSE]) - } - - builtData <- train_data(builtData, x) - # TODO: provide a better way to clean up "high-level" attrs - x[c("ymin", "ymax", "yend", "xend")] <- NULL - x$.plotlyVariableMapping <- names(builtData) - - # build the index used to transform one "trace" into multiple traces - discreteData <- builtData[vapply(builtData, is.discrete, logical(1))] - discreteData <- discreteData[names(discreteData) %in% c("symbol", "linetype", "color")] - if (NCOL(discreteData) > 0) { - paste2 <- function(x, y) paste(x, y, sep = "
") - builtData$.plotlyTraceIndex <- Reduce(paste2, discreteData) - } - # arrange the built data - arrangeVars <- c( - ".plotlyTraceIndex", "group", if (inherits(x, "plotly_line")) "x" - ) - arrangeVars <- arrangeVars[arrangeVars %in% names(builtData)] - if (length(arrangeVars)) { - builtData <- dplyr::arrange_(builtData, arrangeVars) - } - - # copy over to the trace data - for (i in names(builtData)) { - x[[i]] <- builtData[[i]] + builtData <- train_data(builtData, trace) + # TODO: provide a better way to clean up "high-level" attrs + trace[c("ymin", "ymax", "yend", "xend")] <- NULL + trace$.plotlyVariableMapping <- names(builtData) + # arrange the built data + arrangeVars <- c( + ".plotlyTraceIndex", "group", if (inherits(trace, "plotly_line")) "x" + ) + arrangeVars <- arrangeVars[arrangeVars %in% names(builtData)] + if (length(arrangeVars)) { + builtData <- dplyr::arrange_(builtData, arrangeVars) + } + # copy over to the trace data + for (i in names(builtData)) { + trace[[i]] <- builtData[[i]] + } } - # if appropriate, set the mode now since we need to reference it later - if (grepl("scatter", x$type) && is.null(x$mode)) { - x$mode <- if (any(attrLengths > 20)) "lines" else "markers+lines" - } - - x[lengths(x) > 0] + trace[lengths(trace) > 0] }, p$x$attrs, names2(p$x$attrs)) @@ -149,24 +168,23 @@ plotly_build.plotly <- function(p) { traces <- list() for (i in seq_along(dats)) { d <- dats[[i]] - scaleAttrs <- names(d) %in% c("colors", "linetypes", "symbols", "sizes") + scaleAttrs <- names(d) %in% paste0(npscales(), "s") traces <- c(traces, traceify(d[!scaleAttrs], d$.plotlyTraceIndex)) if (i == 1) traces[[1]] <- c(traces[[1]], d[scaleAttrs]) } # insert NAs to differentiate groups traces <- lapply(traces, function(x) { - d <- data.frame(x[names(x) %in% c(x$.plotlyVariableMapping)]) + d <- data.frame(x[names(x) %in% x$.plotlyVariableMapping], stringsAsFactors = FALSE) d <- group2NA( d, ".plotlyGroupIndex", ordered = if (inherits(x, "plotly_line")) "x", retrace.first = inherits(x, "plotly_polygon") ) for (i in x$.plotlyVariableMapping) { - x[[i]] <- uniq(d[[i]]) + x[[i]] <- structure(uniq(d[[i]]), class = oldClass(x[[i]])) } x }) - # "transforms" of (i.e., apply scaling to) special arguments # IMPORTANT: scales are applied at the plot-level!! colorTitle <- unlist(lapply(p$x$attrs, function(x) { @@ -180,8 +198,7 @@ plotly_build.plotly <- function(p) { # remove special mapping attributes for (i in seq_along(traces)) { mappingAttrs <- c( - "color", "colors", "symbol", "symbols", - "linetype", "linetypes", "size", "sizes", + "alpha", npscales(), paste0(npscales(), "s"), ".plotlyGroupIndex", ".plotlyTraceIndex", ".plotlyVariableMapping" ) for (j in mappingAttrs) { @@ -212,7 +229,6 @@ plotly_build.plotly <- function(p) { ) } } - # verify plot attributes are legal according to the plotly.js spec p <- verify_attr_names(p) # box up 'data_array' attributes where appropriate @@ -276,21 +292,44 @@ map_size <- function(traces) { hasText <- has_text(types, modes) for (i in which(nSizes > 0)) { - sizeI <- scales::rescale(sizeList[[i]], from = sizeRange, to = traces[[1]]$sizes) - traces[[i]]$marker <- modify_list( - list(size = sizeI, sizemode = "area"), - traces[[i]]$marker - ) + s <- sizeList[[i]] + isConstant <- inherits(s, "AsIs") + sizeI <- if (isConstant) { + structure(s, class = setdiff(class(s), "AsIs")) + } else { + scales::rescale(s, from = sizeRange, to = traces[[1]]$sizes) + } + if (hasMarker[[i]]) { + # plotly.js + sizeI <- rep(sizeI, length.out = max(lengths(traces[[i]]))) + traces[[i]]$marker <- modify_list( + list(size = sizeI, sizemode = "area"), + traces[[i]]$marker + ) + } if (hasLine[[i]]) { - warning( - "Can't map size to lines since plotly.js doesn't yet support line.width arrays", - call. = FALSE + if (!isConstant || length(sizeI) > 1) { + warning( + "plotly.js doesn't yet support line.width arrays, track this issue for progress\n", + " https://github.com/plotly/plotly.js/issues/147", + call. = FALSE + ) + } + traces[[i]]$line <- modify_list( + list(width = sizeI[1]), + traces[[i]]$line ) } if (hasText[[i]]) { - warning( - "Can't map size to text since plotly.js doesn't yet support textfont.size arrays", - call. = FALSE + if (!isConstant || length(sizeI) > 1) { + warning( + "plotly.js doesn't yet support textfont.size arrays", + call. = FALSE + ) + } + traces[[i]]$textfont <- modify_list( + list(size = sizeI[1]), + traces[[i]]$textfont ) } } @@ -307,8 +346,9 @@ map_color <- function(traces, title = "", na.color = "transparent") { if (all(nColors == 0)) { return(traces) } - isNumeric <- vapply(color, is.numeric, logical(1)) - isDiscrete <- vapply(color, is.discrete, logical(1)) + isConstant <- vapply(color, function(x) inherits(x, "AsIs"), logical(1)) + isNumeric <- vapply(color, is.numeric, logical(1)) & !isConstant + isDiscrete <- vapply(color, is.discrete, logical(1)) & !isConstant if (any(isNumeric & isDiscrete)) { stop("Can't have both discrete and numeric color mappings", call. = FALSE) } @@ -321,6 +361,27 @@ map_color <- function(traces, title = "", na.color = "transparent") { hasZ <- has_attr(types, "colorscale") & any(vapply(traces, function(tr) !is.null(tr$z), logical(1))) + for (i in which(isConstant)) { + if (hasLine[[i]]) { + traces[[i]]$line <- modify_list( + list(color = toRGB(color[[i]], traces[[i]]$alpha %||% 1)), + traces[[i]]$line + ) + } + if (hasMarker[[i]]) { + traces[[i]]$marker <- modify_list( + list(color = toRGB(color[[i]], traces[[i]]$alpha %||% 1)), + traces[[i]]$marker + ) + } + if (hasText[[i]]) { + traces[[i]]$textfont <- modify_list( + list(color = toRGB(color[[i]], traces[[i]]$alpha %||% 1)), + traces[[i]]$textfont + ) + } + } + if (any(isNumeric)) { palette <- traces[[1]][["colors"]] %||% viridisLite::viridis(10) # TODO: use ggstat::frange() when it's on CRAN? @@ -333,7 +394,11 @@ map_color <- function(traces, title = "", na.color = "transparent") { } else { c(0, 1) } - colorScale <- matrix(c(scales::rescale(vals), colScale(vals)), ncol = 2) + + colorScale <- matrix( + c(scales::rescale(vals), toRGB(colScale(vals), traces[[1]]$alpha %||% 1)), + ncol = 2 + ) colorObj <- list( colorbar = list(title = as.character(title), ticklen = 2), cmin = rng[1], @@ -356,6 +421,10 @@ map_color <- function(traces, title = "", na.color = "transparent") { " when the trace type is 'scatter' or 'scattergl'.\n", call. = FALSE) traces[[i]]$mode <- paste0(traces[[i]]$mode, "+markers") hasMarker[[i]] <- TRUE + } else { + # scatter3d supports data arrays for color + traces[[i]]$line <- modify_list(colorObj, traces[[i]]$line) + traces[[i]]$marker$colorscale <- as_df(traces[[i]]$marker$colorscale) } } if (hasMarker[[i]]) { @@ -444,29 +513,34 @@ map_symbol <- function(traces) { if (N > 8) { warning("You've mapped a variable with ", N, " different levels to symbol.\n", "It's very difficult to perceive more than 8 different symbols\n", - "in a single plot.") + "in a single plot.", call. = FALSE) } # symbol values are duplicated (there is a valid numeric and character string for each symbol) validSymbols <- as.character(Schema$traces$scatter$attributes$marker$symbol$values) # give a sensible ordering the valid symbols so that we map # to a palette that can be easily perceived - symbolPalette <- c( + defaultPalette <- c( 'circle', 'cross', 'diamond', 'square', 'triangle-down', 'triangle-left', 'triangle-right', 'triangle-up' ) - symbols <- unique(unlist(traces[[1]]$symbols)) %||% symbolPalette - illegalSymbols <- setdiff(symbols, validSymbols) - if (length(illegalSymbols)) { - stop("The following are not valid symbol codes:\n", - paste(illegalSymbols, collapse = ", "), - "Valid symbols include:\n'", - paste(validSymbols, collapse = "', '"), - call. = FALSE) - } + symbols <- traces[[1]]$symbols %||% defaultPalette palette <- setNames(symbols[seq_len(N)], unique(symbol)) for (i in which(nSymbols > 0)) { - symbols <- as.character(palette[symbolList[[i]]]) - traces[[i]]$marker <- modify_list(list(symbol = symbols), traces[[i]]$marker) + s <- symbolList[[i]] + symbols <- pch2symbol(if (inherits(s, "AsIs")) s else as.character(palette[s])) + illegalSymbols <- setdiff(symbols, validSymbols) + if (length(illegalSymbols)) { + warning( + "The following are not valid symbol codes:\n'", + paste(illegalSymbols, collapse = "', '"), "'\n", + "Valid symbols include:\n'", + paste(validSymbols, collapse = "', '"), call. = FALSE + ) + } + traces[[i]]$marker <- modify_list( + list(symbol = symbols), + traces[[i]]$marker + ) # ensure the mode is set so that the symbol is relevant if (!grepl("markers", traces[[i]]$mode %||% "")) { message("Adding markers to mode; otherwise symbol would have no effect.") @@ -498,18 +572,22 @@ map_linetype <- function(traces) { length(validLinetypes), " different line types", call. = TRUE) } linetypes <- unique(unlist(lapply(traces, "[[", "linetypes"))) %||% validLinetypes - illegalLinetypes <- setdiff(linetypes, validLinetypes) - if (length(illegalLinetypes)) { - stop("The following are not valid linetype codes:\n'", - paste(illegalLinetypes, collapse = "', '"), - "Valid linetypes include:\n'", - paste(validLinetypes, collapse = "', '"), - call. = FALSE) - } palette <- setNames(linetypes[seq_len(N)], unique(linetype)) for (i in which(nLinetypes > 0)) { - dashes <- as.character(palette[linetypeList[[i]]]) - traces[[i]][["line"]] <- modify_list(list(dash = dashes), traces[[i]][["line"]]) + l <- linetypeList[[i]] + dashes <- lty2dash(if (inherits(l, "AsIs")) l else as.character(palette[l])) + illegalLinetypes <- setdiff(dashes, validLinetypes) + if (length(illegalLinetypes)) { + warning( + "The following are not valid linetype codes:\n'", + paste(illegalLinetypes, collapse = "', '"), "'\n", + "Valid linetypes include:\n'", + paste(validLinetypes, collapse = "', '"), "'", call. = FALSE + ) + } + traces[[i]][["line"]] <- modify_list( + list(dash = dashes), traces[[i]][["line"]] + ) # ensure the mode is set so that the linetype is relevant if (!grepl("lines", traces[[i]]$mode %||% "")) { message("Adding lines to mode; otherwise linetype would have no effect.") diff --git a/R/sysdata.rda b/R/sysdata.rda index 111c4cdd0984d0c49f4d5deb856257abbfb86ddf..66b49a4434c19ab809d7abfe8272ab9955574547 100644 GIT binary patch literal 9805 zcmV-TCbHQ=T4*^jL0KkKSvd&5?E%z}fB*mg|NsC0|Ns9l|9}7g|Nde^NU%U4LSV@z zNB}}QM8V)X-0zc}x006r%do=Uih28G-mw*`~pa)$HK%k&`oB-B^ zrV8HgXc$DRb~cV(mu5h9&^dJXwFVh)Q@gpghMJIiZrbPr%b{9pK%>rW66iX}16(r# zf)u4Es(YGLR-~7uJhyv}+n0l2ijhx2H9atlsqCZLnwW--H1v%S%}t^(o{gj?Pe4ye zqeDyqJv9tX27nm=4^fCBkO&Y!L8DaKdJ1|4GHK-0{U(~8fi&`giJsPOsAC5>SP){Oqu`y7|3XYLq-V1 z00T#$pS8gpDKbki1u!W{5XcfF1eE|u5P#1<)7<|5<{m-eVire1KkE#>uS#C~6z{C1 z>18X3&l@M>vDZd9rv2eF8 zwYB~WOOn#zZEb0B5A;luX*8l)Dv+2;rBew+z>t>`f>k7vNE7T^Q7D^}ybh|h=ETPgwH{_q3k<|>o)~96YMiMGV$n`Qa1wHH z5^{7?*G&ZArztsUNjYiBOR2<6ewSo;oR!HX%9NZv7f=c0>G^N6+Q+f$*2FL?qm9Rg7#Yq5F@OSNLf+OcBAi{(J9N( zF`;mXVaS=pO{-QJ2Z0xynP8=uS()LE7by-BmR1H<^p)f`h_xZfF7DrPGUyH=)a6qj 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zOSA2JU9U!~LgoS!9+esps>t{kMA2Tf@T4bH`9~*kA0-^srp}tCU5o}c{L0Otwu)_5 zQXC$*cqs6_6P+M>QVywa2RX19smxF}O%TwIkXSg9WhRjD@i%4}Rj5XW3Kb?mHp^DV zrdeKE+VP$+~fvA*|Q9X3}Q_W5aQ%b3}n`wNNlct)9beSpZCNgHHca`8)=e6OOl6n&m{-7b> z@E!BQ8E9RlM5>gM%3LRl%pyy!m-qOqB?B(XQA#OrmQ#L|Qt2$Eq`^vwf|iox6uK~d z=#KC`@Q^5_!bta^)JkblBuZ&9E>dDA6aH7h9aaDKDvZcE&QnA-#XrH~KgnM7h@Y&W QPyfZ-kxmpOJk>pPfWBie*#H0l diff --git a/R/utils.R b/R/utils.R index 089349c2ca..acab4d56d0 100644 --- a/R/utils.R +++ b/R/utils.R @@ -39,6 +39,11 @@ names2 <- function(x) { names(x) %||% rep("", length(x)) } +# currently implemented non-positional scales in plot_ly() +npscales <- function() { + c("color", "symbol", "linetype", "size") +} + # modifyList turns elements that are data.frames into lists # which changes the behavior of toJSON as_df <- function(x) { @@ -129,29 +134,31 @@ verify_box <- function(proposed, schema) { # make sure trace type is valid # TODO: add an argument to verify trace properties are valid (https://github.com/ropensci/plotly/issues/540) verify_type <- function(trace) { - if (is.null(trace$type)) { + isNULL <- is.null(trace$type) + if (isNULL) { attrs <- names(trace) attrLengths <- lengths(trace) if (all(c("x", "y", "z") %in% attrs)) { - trace$type <- if (all(c("i", "j", "k") %in% attrs)) relay_type("mesh3d") else relay_type("scatter3d") + trace$type <- if (all(c("i", "j", "k") %in% attrs)) "mesh3d" else "scatter3d" } else if (all(c("x", "y") %in% attrs)) { if (!is.discrete(trace$x) && !is.discrete(trace$y)) { - trace$type <- if (any(attrLengths) > 15000) relay_type("scattergl") else relay_type("scatter") + trace$type <- if (any(attrLengths) > 15000) "scattergl" else "scatter" } else if (!is.discrete(trace$x)) { - trace$type <- relay_type("bar") + trace$type <- "bar" trace$orientation <- "h" } else if (!is.discrete(trace$y)) { - trace$type <- relay_type("bar") + trace$type <- "bar" } else { - trace$type <- relay_type("histogram2d") + trace$type <- "histogram2d" } } else if ("y" %in% attrs || "x" %in% attrs) { - trace$type <- relay_type("histogram") + trace$type <- "histogram" } else if ("z" %in% attrs) { - trace$type <- relay_type("heatmap") + trace$type <- "heatmap" } else { - warning("No trace type specified and no positional attributes specified", call. = FALSE) - trace$type <- relay_type("scatter") + warning("No trace type specified and no positional attributes specified", + call. = FALSE) + trace$type <- "scatter" } } if (!is.character(trace$type) || length(trace$type) != 1) { @@ -163,12 +170,17 @@ verify_type <- function(trace) { "'", paste(names(Schema$traces), collapse = "', '"), "'", call. = FALSE) } + # if scatter/scatter3d/scattergl, default to a scatterplot + if (grepl("scatter", trace$type)) { + trace$mode <- trace$mode %||% "markers" + } + if (isNULL) relay_type(trace$type, trace$mode) trace } -relay_type <- function(type) { +relay_type <- function(type, mode = NULL) { message( - "No trace type specified. Applying `add_", type, "()`.\n", + "No trace type specified. Applying `add_", mode %||% type, "()`.\n", "Read more about this trace type here -> https://plot.ly/r/reference/#", type ) type diff --git a/README.md b/README.md index dea425f831..322c106e94 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ # plotly -An R package for creating interactive web graphics via [plotly.js](https://github.com/plotly/plotly.js). +An R package for creating interactive web graphics via the open source JavaScript graphing library [plotly.js](https://github.com/plotly/plotly.js). ## Installation @@ -34,21 +34,21 @@ ggplotly(g) ![https://plot.ly/~cpsievert/9836](http://i.imgur.com/6G4zv7b.png) -If you'd like to see how `ggplotly()` does in converting different ggplot2 examples, we host a [plotly version](http://ropensci.github.io/plotly/) of the [official ggplot2 documentation](http://docs.ggplot2.org). We also have some of our own examples [here](https://plot.ly/ggplot2/). +If you'd like to see how `ggplotly()` does in converting different ggplot2 examples, we host a [plotly version](http://ropensci.github.io/plotly/ggplot2/) of the [official ggplot2 documentation](http://docs.ggplot2.org). We also have some of our own examples [here](https://plot.ly/ggplot2/). ### plotly's custom R interface -__plotly__ supports some chart types that ggplot2 doesn't (such as 3D [surface](https://plot.ly/r/3d-surface-plots/), [point](https://plot.ly/r/3d-scatter-plots/), and [line](https://plot.ly/r/3d-line-plots/) plots). You can create these (or any other plotly) charts using `plot_ly()`. +[plotly.js](https://github.com/plotly/plotly.js) supports some chart types that ggplot2 doesn't (our [cheatsheet](https://images.plot.ly/plotly-documentation/images/r_cheat_sheet.pdf) provides a nice summary of the available chart types). You can create any of these charts via `plot_ly()`. ```r -plot_ly(z = volcano, type = "surface") +plot_ly(z = ~volcano) ``` ![https://plot.ly/~brnvg/1134](https://plot.ly/~brnvg/1134.png) -For a more concise overview of the `plot_ly()` interface, see [here](https://cran.r-project.org/web/packages/plotly/vignettes/intro.html). You might also find our [examples](https://plot.ly/r/#basic-charts) and the [figure reference](https://plot.ly/r/reference/) to be helpful. +We have a number of [vignettes](https://ropensci.github.io/plotly/) which explain the `plot_ly()` interface in depth as well as numerous examples on the [plotly website](https://plot.ly/r/#basic-charts) and [bundled with the package](https://github.com/ropensci/plotly/tree/master/inst/examples). -### Hooking onto plotly events +### Capturing plotly events [plotly.js](https://github.com/plotly/plotly.js) exposes a number of 'standard' events that work consistently across plot types. It's easy to hook into these events using the `event_data()` function in shiny apps, as these examples demonstrate: @@ -58,7 +58,7 @@ For a more concise overview of the `plot_ly()` interface, see [here](https://cra ![http://104.131.111.111:3838/plotlyLinkedBrush/](http://i.imgur.com/eVqsZma.gif) -You can also hook into these events without shiny using `htmlwidgets::onRender()` ([example](https://github.com/ropensci/plotly/tree/master/inst/examples/onRenderHover)). This, however, requires JavaScript knowledge and makes it much harder, if not impossible, to coordinate views between htmlwidgets. +You can also hook into these events without shiny using `htmlwidgets::onRender()` ([example](https://github.com/ropensci/plotly/tree/master/inst/examples/onRenderHover)). This, however, requires JavaScript knowledge and makes it much harder to coordinate views between htmlwidgets. ## Contributing diff --git a/man/add_trace.Rd b/man/add_trace.Rd index dd16c61fd8..4d7426c17b 100644 --- a/man/add_trace.Rd +++ b/man/add_trace.Rd @@ -24,14 +24,13 @@ \usage{ add_trace(p, ..., color, symbol, size, linetype, data = NULL) -add_markers(p, x = NULL, y = NULL, fill = NULL, stroke = NULL, - alpha = 1, ...) +add_markers(p, x = NULL, y = NULL, z = NULL, ...) -add_text(p, x = NULL, y = NULL, text = NULL, ...) +add_text(p, x = NULL, y = NULL, z = NULL, text = NULL, ...) -add_paths(p, x = NULL, y = NULL, ...) +add_paths(p, x = NULL, y = NULL, z = NULL, ...) -add_lines(p, x = NULL, y = NULL, ...) +add_lines(p, x = NULL, y = NULL, z = NULL, ...) add_segments(p, x = NULL, y = NULL, xend = NULL, yend = NULL, ...) @@ -57,7 +56,7 @@ add_boxplot(p, x = NULL, y = NULL, ...) add_surface(p, z = NULL, ...) -add_scattergeo(p, ...) +add_scattergeo(p, geo = "geo", ...) add_choropleth(p, z = NULL, ...) } @@ -82,17 +81,13 @@ provided, arguments are evaluated using the data frame in \code{\link{plot_ly}() \item{y}{the y variable.} -\item{fill}{fill color} - -\item{stroke}{stroke color} - -\item{alpha}{alpha transparency} - \item{text}{textual labels.} \item{ymin}{a variable used to define the lower boundary of a polygon.} \item{ymax}{a variable used to define the upper boundary of a polygon.} + +\item{alpha}{alpha channel applied to color (on 0-1 scale).} } \description{ Add trace(s) to a plotly visualization @@ -114,7 +109,7 @@ plot_ly(economics, x = ~date, y = ~uempmed) \%>\% txhousing \%>\% group_by(city) \%>\% plot_ly(x = ~date, y = ~median) \%>\% - add_lines(line = list(color = toRGB("black", 0.2))) + add_lines(fill = "black") ggplot2::map_data("world", "canada") \%>\% group_by(group) \%>\% diff --git a/man/plot_ly.Rd b/man/plot_ly.Rd index d21e028737..5b074bb050 100644 --- a/man/plot_ly.Rd +++ b/man/plot_ly.Rd @@ -5,8 +5,9 @@ \title{Initiate a plotly visualization} \usage{ plot_ly(data = data.frame(), ..., type = NULL, group, color, - colors = NULL, symbol, symbols = NULL, size, sizes = c(10, 100), - linetype, linetypes = NULL, width = NULL, height = NULL, source = "A") + colors = NULL, alpha = 1, symbol, symbols = NULL, size, sizes = c(10, + 100), linetype, linetypes = NULL, width = NULL, height = NULL, + source = "A") } \arguments{ \item{data}{A data frame (optional).} @@ -17,19 +18,29 @@ Note that acceptable arguments depend on the value of \code{type}.} \item{type}{A character string describing the type of trace. If \code{NULL} (the default), the initial trace type is determined by \code{add_trace}} -\item{color}{Either a variable name or a vector to use for color mapping.} +\item{color}{A formula containing a name or expression. +Values are scaled and mapped to color codes based on the value of +\code{colors} and \code{alpha}. To avoid scaling, wrap with \code{\link{I}()}, +and provide value(s) that can be converted to rgb color codes by +\code{\link[grDevices]{col2rgb}()}.} \item{colors}{Either a colorbrewer2.org palette name (e.g. "YlOrRd" or "Blues"), or a vector of colors to interpolate in hexadecimal "#RRGGBB" format, or a color interpolation function like \code{colorRamp()}.} -\item{symbol}{Either a variable name or a (discrete) vector to use for symbol encoding.} +\item{alpha}{A number between 0 and 1 specifying the alpha channel applied to color.} + +\item{symbol}{A formula containing a name or expression. +Values are scaled and mapped to symbols based on the value of \code{symbols}. +To avoid scaling, wrap with \code{\link{I}()}, and provide valid +\code{\link{pch}()} values and/or valid plotly symbol(s) as a string +\url{}} \item{symbols}{A character vector of symbol types. For possible values, see \link{schema}.} \item{size}{A variable name or numeric vector to encode the size of markers.} -\item{sizes}{a numeric vector of length 2 used to scale sizes to pixels.} +\item{sizes}{A numeric vector of length 2 used to scale sizes to pixels.} \item{linetype}{Either a variable name or a (discrete) vector to use for linetype encoding.} @@ -57,15 +68,15 @@ plot_ly(economics, x = ~pop) plot_ly(economics, x = ~date, y = ~pop) # plot_ly() doesn't require data frame(s), which allows one to take # advantage of trace type(s) designed specifically for numeric matrices -plot_ly(z = volcano) -plot_ly(z = volcano, type = "surface") +plot_ly(z = ~volcano) +plot_ly(z = ~volcano, type = "surface") # plotly has a functional interface: every plotly function takes a plotly # object as it's first input argument and returns a modified plotly object -add_points(plot_ly(economics, x = ~date, y = ~unemploy/pop)) +add_lines(plot_ly(economics, x = ~date, y = ~unemploy/pop)) # To make code more readable, plotly imports the pipe operator from magrittr -economics \%>\% plot_ly(x = ~date, y = ~unemploy/pop) \%>\% add_points() +economics \%>\% plot_ly(x = ~date, y = ~unemploy/pop) \%>\% add_lines() # Attributes defined via plot_ly() set 'global' attributes that # are carried onto subsequent traces diff --git a/tests/testthat/test-plotly-color.R b/tests/testthat/test-plotly-color.R new file mode 100644 index 0000000000..966db824ce --- /dev/null +++ b/tests/testthat/test-plotly-color.R @@ -0,0 +1,80 @@ +context("plotly-color") + +expect_traces <- function(p, n.traces, name){ + stopifnot(is.numeric(n.traces)) + L <- save_outputs(p, paste0("plotly-", name)) + expect_equal(length(L$data), n.traces) + L +} + +test_that("plot_ly() handles a simple scatterplot", { + p <- plot_ly(iris, x = ~Sepal.Length, y = ~Petal.Length, color = ~Petal.Width) +}) + +test_that("Mapping a factor variable to color works", { + p <- plot_ly(iris, x = ~Sepal.Length, y = ~Petal.Length, color = ~Species) + l <- expect_traces(p, 3, "scatterplot-color-factor") + markers <- lapply(l$data, "[[", "marker") + cols <- unlist(lapply(markers, "[[", "color")) + expect_equal(length(cols), 3) +}) + +test_that("Custom RColorBrewer pallette works for factor variable", { + cols <- RColorBrewer::brewer.pal(9, "Set1") + # specifying a pallette set should "span the gamut" + p <- plot_ly(iris, x = ~Sepal.Length, y = ~Petal.Length, color = ~Species, + colors = "Set1") + l <- expect_traces(p, 3, "scatterplot-color-factor-custom") + markers <- lapply(l$data, "[[", "marker") + colz <- unlist(lapply(markers, "[[", "color")) + expect_identical(sort(cols[c(1, 5, 9)]), sort(colz)) + # providing vector of RGB codes should also work + p <- plot_ly(iris, x = ~Sepal.Length, y = ~Petal.Length, color = ~Species, + colors = cols[1:3]) + l <- expect_traces(p, 3, "scatterplot-color-factor-custom2") + markers <- lapply(l$data, "[[", "marker") + colz <- unlist(lapply(markers, "[[", "color")) + expect_identical(sort(cols[1:3]), sort(colz)) +}) + +test_that("Passing hex codes to colors argument works", { + colz <- c('#FE8268', '#81E8FE', '#FED681', '#81FED6', '#FE81A9') + d <- data.frame(Category = LETTERS[1:5], Value = 1:5, stringsAsFactors = FALSE) + p <- plot_ly(d, x = ~Category, y = ~Value, type = "bar", + color = ~Category, colors = colz) + l <- expect_traces(p, 5, "bar-color-factor-custom") + colz2 <- sapply(l$data, function(x) x[["marker"]][["color"]]) + expect_identical(sort(colz), sort(colz2)) +}) + +test_that("Mapping a numeric variable to color works", { + p <- plot_ly(iris, x = ~Sepal.Length, y = ~Petal.Length, color = ~Petal.Width) + # one trace is for the colorbar + l <- expect_traces(p, 2, "scatterplot-color-numeric") + idx <- vapply(l$data, is.colorbar, logical(1)) + markerScale <- l$data[[which(idx)]]$marker + markerDat <- l$data[[which(!idx)]]$marker + expect_identical(markerDat$color, iris$Petal.Width) + expect_identical(markerScale$colorbar$title, "Petal.Width") + expect_equal(min(iris$Petal.Width), markerScale$cmin) + expect_equal(max(iris$Petal.Width), markerScale$cmax) + expect_true(all(0 <= markerScale$colorscale[,1] & markerScale$colorscale[,1] <= 1)) +}) + +test_that("Custom RColorBrewer pallette works for numeric variable", { + p <- plot_ly(iris, x = ~Sepal.Length, y = ~Petal.Length, + color = ~Petal.Width, colors = "Greens") + # one trace is for the colorbar + l <- expect_traces(p, 2, "scatterplot-color-numeric-custom") +}) + +test_that("axis titles get attached to scene object for 3D plots", { + p <- plot_ly(iris, x = ~Petal.Length, y = ~Petal.Width, z = ~Sepal.Width, + type = "scatter3d", mode = "markers") + l <- expect_traces(p, 1, "scatterplot-scatter3d-axes") + scene <- l$layout$scene + expect_identical(scene$xaxis$title, "Petal.Length") + expect_identical(scene$yaxis$title, "Petal.Width") + expect_identical(scene$zaxis$title, "Sepal.Width") +}) + diff --git a/tests/testthat/test-plotly-group.R b/tests/testthat/test-plotly-group.R new file mode 100644 index 0000000000..66ef1cedc9 --- /dev/null +++ b/tests/testthat/test-plotly-group.R @@ -0,0 +1,54 @@ +context("plotly-group") + +expect_traces <- function(p, n.traces, name){ + stopifnot(is.numeric(n.traces)) + L <- save_outputs(p, paste0("plotly-", name)) + expect_equal(length(L$data), n.traces) + L +} + +# oh no, June is missing! +e <- economics +isMissing <- format(economics$date, "%m") == "06" +e[isMissing, ] <- NA + +p <- plot_ly(e, x = ~date, y = ~pce) + +test_that("Missing values are preserved for lines", { + l <- expect_traces(add_lines(p), 1, "NAs") + expect_equal(sum(is.na(l$data[[1]]$x)), sum(isMissing)) +}) + +test_that("Can connectgaps without groups", { + l <- expect_traces(add_lines(p, connectgaps = TRUE), 1, "NAs-connect") + expect_true(l$data[[1]]$connectgaps) + expect_equal(sum(is.na(l$data[[1]]$x)), sum(isMissing)) +}) + +test_that("Warning is thrown when missing values are ignored", { + expect_warning( + plotly_build(add_markers(p)), + paste("Ignoring", sum(isMissing)) + ) +}) + +e2 <- tidyr::gather(e, variable, value, -date) + +p2 <- e2 %>% + group_by(variable) %>% + plot_ly(x = ~date, y = ~value) + +test_that("Missing values are preserved for lines within a group variable", { + l <- expect_traces(add_lines(p2), 1, "NAs-within-group") + expect_true(sum(is.na(l$data[[1]]$x)) >= sum(is.na(e2$date))) + p2b <- add_lines(p2, connectgaps = TRUE) + expect_error(plotly_build(p2b), "connectgaps") +}) + +p3 <- plot_ly(e2, x = ~date, y = ~value, color = ~variable) + +test_that("Missing values are preserved for lines within a color variable", { + l <- expect_traces(add_lines(p3), 5, "NAs-within-color") + # connectgaps makes sense in this case + l <- expect_traces(add_lines(p3, connectgaps = TRUE), 5, "NAs-within-color2") +}) diff --git a/tests/testthat/test-plotly-linetype.R b/tests/testthat/test-plotly-linetype.R new file mode 100644 index 0000000000..ec617acc9a --- /dev/null +++ b/tests/testthat/test-plotly-linetype.R @@ -0,0 +1,42 @@ +context("plotly-linetype") + +expect_traces <- function(p, n.traces, name){ + stopifnot(is.numeric(n.traces)) + L <- save_outputs(p, paste0("plotly-", name)) + expect_equal(length(L$data), n.traces) + L +} + +# subset to five cities +cities <- unique(txhousing$city)[1:5] +tx <- txhousing[txhousing$city %in% cities, ] +tx$city_ <- match(tx$city, cities) + +test_that("Mapping a variable to linetype works", { + p <- plot_ly(tx, x = ~date, y = ~median, linetype = ~city) + l <- expect_traces(p, 5, "linetype") + lines <- lapply(l$data, "[[", "line") + dashes <- unlist(lapply(lines, "[[", "dash")) + expect_equal(length(dashes), 5) +}) + +test_that("Can set the linetype range.", { + p <- plot_ly(tx, x = ~date, y = ~median, linetype = ~city, linetypes = 5:1) + l <- expect_traces(p, 5, "linetype") + lines <- lapply(l$data, "[[", "line") + dashes <- unlist(lapply(lines, "[[", "dash")) + expect_equal(dashes, plotly:::lty2dash(5:1)) +}) + +test_that("Can avoid scaling", { + p <- plot_ly(tx, x = ~date, y = ~median, linetype = I(3)) + l <- expect_traces(p, 1, "linetype") + lines <- lapply(l$data, "[[", "line") + dashes <- unlist(lapply(lines, "[[", "dash")) + expect_equal(dashes, plotly:::lty2dash(3)) +}) + +test_that("Warn about invalid linetypes", { + p <- plot_ly(x = 1:2, y = 1:2, linetype = I("DNE")) + expect_warning(plotly_build(p), "DNE") +}) diff --git a/tests/testthat/test-plotly-symbol.R b/tests/testthat/test-plotly-symbol.R new file mode 100644 index 0000000000..3ad5b8908d --- /dev/null +++ b/tests/testthat/test-plotly-symbol.R @@ -0,0 +1,39 @@ +context("plotly-symbol") + +expect_traces <- function(p, n.traces, name){ + stopifnot(is.numeric(n.traces)) + L <- save_outputs(p, paste0("plotly-", name)) + expect_equal(length(L$data), n.traces) + L +} + +test_that("Mapping a variable to symbol works", { + p <- plot_ly(iris, x = ~Sepal.Length, y = ~Petal.Length, symbol = ~Species) + l <- expect_traces(p, 3, "scatterplot-symbol") + markers <- lapply(l$data, "[[", "marker") + syms <- unlist(lapply(markers, "[[", "symbol")) + expect_identical(syms, c("circle", "cross", "diamond")) +}) + +test_that("Can set the symbol range.", { + p <- plot_ly(iris, x = ~Sepal.Length, y = ~Petal.Length, symbol = ~Species, + symbols = 1:3) + l <- expect_traces(p, 3, "scatterplot-symbol2") + markers <- lapply(l$data, "[[", "marker") + syms <- unlist(lapply(markers, "[[", "symbol")) + expect_identical(syms, plotly:::pch2symbol(1:3)) +}) + + +test_that("Setting a constant symbol works", { + p <- plot_ly(iris, x = 1:25, y = 1:25, symbol = I(0:24)) + l <- expect_traces(p, 1, "pch") + markers <- lapply(l$data, "[[", "marker") + syms <- unlist(lapply(markers, "[[", "symbol")) + expect_identical(syms, plotly:::pch2symbol(0:24)) +}) + +test_that("Warn about invalid symbol codes", { + p <- plot_ly(iris, x = ~Sepal.Length, y = ~Petal.Length, symbol = I("DNE")) + expect_warning(plotly_build(p), "DNE") +}) diff --git a/tests/testthat/test-plotly.R b/tests/testthat/test-plotly.R index cf79d19f1c..92051c121a 100644 --- a/tests/testthat/test-plotly.R +++ b/tests/testthat/test-plotly.R @@ -1,4 +1,4 @@ -context("plot_ly") +context("plotly") expect_traces <- function(p, n.traces, name){ stopifnot(is.numeric(n.traces)) @@ -7,6 +7,46 @@ expect_traces <- function(p, n.traces, name){ L } +# expect 2 plotly graphs to have the same traces +expect_same_data <- function(p1, p2) { + if (!is.plotly(p1) || !is.plotly(p2)) { + stop("Both arguments must be plotly objects", call. = FALSE) + } + d1 <- plotly_build(p1)$x$data + d2 <- plotly_build(p2)$x$data + if (length(d1) != length(d2)) { + stop("Number of traces is different.", call. = FALSE) + } + # for each trace, align the names (since ordering doesn't matter) + d1 <- Map(function(x, y) structure(x[names(y)], class = oldClass(x)), d1, d2) + expect_identical(d1, d2) +} + +test_that("plot_ly defaults to scatterplot", { + p1 <- plot_ly(mtcars, x = ~wt, y = ~mpg) + p2 <- plot_ly(mtcars, x = ~wt, y = ~mpg) %>% add_markers() + expect_same_data(p1, p2) +}) + +test_that("Variable mappings return same result regardless of where they appear", { + p1 <- plot_ly(mtcars, x = ~wt, y = ~mpg, size = ~disp) + p2 <- plot_ly(mtcars, x = ~wt, y = ~mpg) %>% add_markers(size = ~disp) + expect_same_data(p1, p2) + p1 <- plot_ly(mtcars, x = ~wt, y = ~mpg, color = ~disp) + p2 <- plot_ly(mtcars, x = ~wt, y = ~mpg) %>% add_markers(color = ~disp) + expect_same_data(p1, p2) + p1 <- plot_ly(mtcars, x = ~wt, y = ~mpg, symbol = ~factor(am)) + p2 <- plot_ly(mtcars, x = ~wt, y = ~mpg) %>% add_markers(symbol = ~factor(am)) + expect_same_data(p1, p2) + p1 <- plot_ly(mtcars, x = ~wt, y = ~mpg, linetype = ~factor(am)) + p2 <- plot_ly(mtcars, x = ~wt, y = ~mpg) %>% add_markers(linetype = ~factor(am)) + expect_message(plotly_build(p1), "Adding lines to mode") + expect_message(plotly_build(p2), "Adding lines to mode") + expect_same_data(p1, p2) +}) + + + test_that("plot_ly() handles a simple scatterplot", { p <- plot_ly(data = iris, x = ~Sepal.Length, y = ~Petal.Length, mode = "markers") l <- expect_traces(p, 1, "scatterplot") @@ -18,83 +58,7 @@ test_that("plot_ly() handles a simple scatterplot", { }) -test_that("Mapping a variable to symbol works", { - p <- plot_ly(data = iris, x = ~Sepal.Length, y = ~Petal.Length, symbol = ~Species) - expect_message(plotly_build(p), "Adding markers to mode") - l <- expect_traces(p, 3, "scatterplot-symbol") - markers <- lapply(l$data, "[[", "marker") - syms <- unlist(lapply(markers, "[[", "symbol")) - expect_identical(syms, c("circle", "cross", "diamond")) -}) - -test_that("Mapping a factor variable to color works", { - p <- plot_ly(data = iris, x = ~Sepal.Length, y = ~Petal.Length, - color = ~Species, mode = "markers") - l <- expect_traces(p, 3, "scatterplot-color-factor") - markers <- lapply(l$data, "[[", "marker") - cols <- unlist(lapply(markers, "[[", "color")) - expect_equal(length(cols), 3) -}) - -test_that("Custom RColorBrewer pallette works for factor variable", { - cols <- RColorBrewer::brewer.pal(9, "Set1") - # specifying a pallette set should "span the gamut" - p <- plot_ly(data = iris, x = ~Sepal.Length, y = ~Petal.Length, - color = ~Species, colors = "Set1", mode = "markers") - l <- expect_traces(p, 3, "scatterplot-color-factor-custom") - markers <- lapply(l$data, "[[", "marker") - colz <- unlist(lapply(markers, "[[", "color")) - expect_identical(sort(cols[c(1, 5, 9)]), sort(colz)) - # providing vector of RGB codes should also work - p <- plot_ly(data = iris, x = ~Sepal.Length, y = ~Petal.Length, - color = ~Species, colors = cols[1:3], mode = "markers") - l <- expect_traces(p, 3, "scatterplot-color-factor-custom2") - markers <- lapply(l$data, "[[", "marker") - colz <- unlist(lapply(markers, "[[", "color")) - expect_identical(sort(cols[1:3]), sort(colz)) -}) - -test_that("Passing hex codes to colors argument works", { - colz <- c('#FE8268', '#81E8FE', '#FED681', '#81FED6', '#FE81A9') - d <- data.frame(Category = LETTERS[1:5], Value = 1:5, stringsAsFactors = F) - p <- plot_ly(d, x = ~Category, y = ~Value, type = "bar", - color = ~Category, colors = colz) - l <- expect_traces(p, 5, "bar-color-factor-custom") - colz2 <- sapply(l$data, function(x) x[["marker"]][["color"]]) - expect_identical(sort(colz), sort(colz2)) -}) -test_that("Mapping a numeric variable to color works", { - p <- plot_ly(iris, x = ~Sepal.Length, y = ~Petal.Length, - color = ~Petal.Width, mode = "markers") - # one trace is for the colorbar - l <- expect_traces(p, 2, "scatterplot-color-numeric") - idx <- vapply(l$data, is.colorbar, logical(1)) - markerScale <- l$data[[which(idx)]]$marker - markerDat <- l$data[[which(!idx)]]$marker - expect_identical(markerDat$color, iris$Petal.Width) - expect_identical(markerScale$colorbar$title, "Petal.Width") - expect_equal(min(iris$Petal.Width), markerScale$cmin) - expect_equal(max(iris$Petal.Width), markerScale$cmax) - expect_true(all(0 <= markerScale$colorscale[,1] & markerScale$colorscale[,1] <= 1)) -}) - -test_that("Custom RColorBrewer pallette works for numeric variable", { - p <- plot_ly(iris, x = ~Sepal.Length, y = ~Petal.Length, - color = ~Petal.Width, colors = "Greens", mode = "markers") - # one trace is for the colorbar - l <- expect_traces(p, 2, "scatterplot-color-numeric-custom") -}) - -test_that("axis titles get attached to scene object for 3D plots", { - p <- plot_ly(iris, x = ~Petal.Length, y = ~Petal.Width, z = ~Sepal.Width, - type = "scatter3d", mode = "markers") - l <- expect_traces(p, 1, "scatterplot-scatter3d-axes") - scene <- l$layout$scene - expect_identical(scene$xaxis$title, "Petal.Length") - expect_identical(scene$yaxis$title, "Petal.Width") - expect_identical(scene$zaxis$title, "Sepal.Width") -}) test_that("type inference + add_data + layering works as expected", { p <- plot_ly(iris, x = ~Species) %>% @@ -124,11 +88,25 @@ test_that("grouping within multiples traces works", { g$response <- rnorm(nrow(g)) d <- group_by(g, id) p <- plot_ly(d, x = ~visit, y = ~response, color = ~cohort, colors = c("red", "blue")) - l <- expect_traces(p, 2, "group-within-trace") + l <- expect_traces(add_lines(p), 2, "group-within-trace") expect_equal(l$data[[1]]$x, c(1, 2, NA, 1, 2, NA, 1, 2)) expect_equal(l$data[[2]]$x, c(1, 2, NA, 1, 2, NA, 1, 2)) - expect_true(l$data[[1]]$marker$color == "#FF0000") expect_true(l$data[[1]]$line$color == "#FF0000") - expect_true(l$data[[2]]$marker$color == "#0000FF") expect_true(l$data[[2]]$line$color == "#0000FF") }) + +test_that("Alpha can be applied to both constant and scaled colors", { + p <- plot_ly(x = rnorm(100), y = rnorm(100), color = ~rnorm(100)) + p <- add_markers(p, alpha = 0.05) + p <- add_lines(p, x = -1:1, y = -1:1, color = I("red"), alpha = 0.4) + # one trace for the colorbar + l <- expect_traces(p, 3, "alpha-blending") + # verify the correct alpha for the points + rgbs <- l$data[[1]]$marker$colorscale[, 2] + alphas <- unique(sub("\\)", "", sapply(strsplit(rgbs, ","), "[[", 4))) + expect_equal("0.05", alphas) + # verify the correct alpha for the lines + rgb <- l$data[[2]]$line$color + alpha <- sub("\\)", "", sapply(strsplit(rgb, ","), "[[", 4)) + expect_equal("0.4", alpha) +}) From 1bd9d6a1f8b17739a4ff5417d03941bcd4f59eab Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Wed, 13 Jul 2016 15:35:46 -0500 Subject: [PATCH 72/73] fix bad example --- R/add.R | 2 +- man/add_data.Rd | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/R/add.R b/R/add.R index aabe29ea32..79149fc2eb 100644 --- a/R/add.R +++ b/R/add.R @@ -5,7 +5,7 @@ #' @export #' @examples #' -#' NULL %>% plot_ly() %>% add_data(economics) %>% add_trace(x = ~date, y = ~pce) +#' plot_ly() %>% add_data(economics) %>% add_trace(x = ~date, y = ~pce) add_data <- function(p, data = NULL) { if (is.null(data)) return(p) if (!is.plotly(p)) { diff --git a/man/add_data.Rd b/man/add_data.Rd index 0dbceb40e9..d22df35d6e 100644 --- a/man/add_data.Rd +++ b/man/add_data.Rd @@ -16,6 +16,6 @@ Add data to a plotly visualization } \examples{ -NULL \%>\% plot_ly() \%>\% add_data(economics) \%>\% add_trace(x = ~date, y = ~pce) +plot_ly() \%>\% add_data(economics) \%>\% add_trace(x = ~date, y = ~pce) } From 63e0ddbb5698b11a6e28c21f427abdd70ca168c4 Mon Sep 17 00:00:00 2001 From: Carson Sievert Date: Wed, 13 Jul 2016 15:54:58 -0500 Subject: [PATCH 73/73] curse you cbind --- R/layers2traces.R | 2 +- R/plotly_data.R | 1 + man/plotly_data.Rd | 46 ---------------------------------------------- 3 files changed, 2 insertions(+), 47 deletions(-) diff --git a/R/layers2traces.R b/R/layers2traces.R index 3686fc2153..a7a00f2967 100644 --- a/R/layers2traces.R +++ b/R/layers2traces.R @@ -645,7 +645,7 @@ ribbon_dat <- function(dat) { tmp <- dat[o, ] others <- tmp[not_used] dat1 <- cbind(x = tmp$x, y = tmp$ymin, others) - dat1[n+1, ] <- cbind(x = tmp$x[n], y = tmp$ymin[n], others[n, ]) + dat1[n+1, ] <- data.frame(x = tmp$x[n], y = tmp$ymin[n], others[n, ]) # bottom-half of ribbon tmp2 <- dat[o2, ] others2 <- tmp2[not_used] diff --git a/R/plotly_data.R b/R/plotly_data.R index a5abfd757e..929ff0a2ed 100644 --- a/R/plotly_data.R +++ b/R/plotly_data.R @@ -8,6 +8,7 @@ #' @param id a character string or number referencing an "attribute layer". #' @return returns a data frame #' @examples +#' @export #' #' # use group_by() to define groups of visual markings #' p <- txhousing %>% diff --git a/man/plotly_data.Rd b/man/plotly_data.Rd index 064ed70362..ebb1e55f83 100644 --- a/man/plotly_data.Rd +++ b/man/plotly_data.Rd @@ -19,50 +19,4 @@ returns a data frame a plotly visualization (if there are multiple data frames, by default, it returns the most recent one). } -\examples{ - -# use group_by() to define groups of visual markings -p <- txhousing \%>\% - group_by(city) \%>\% - plot_ly(x = ~date, y = ~sales) -p - -# plotly objects preserve data groupings -groups(p) -plotly_data(p) - -# dplyr verbs operate on plotly objects as if they were data frames -p <- economics \%>\% - plot_ly(x = ~date, y = ~unemploy / pop) \%>\% - add_lines() \%>\% - mutate(rate = unemploy / pop) \%>\% - filter(rate == max(rate)) -plotly_data(p) -add_markers(p) -layout(p, annotations = list(x = ~date, y = ~rate, text = "peak")) - -# use group_by() + do() + subplot() for trellis displays -d <- group_by(mpg, drv) -plots <- do(d, p = plot_ly(., x = ~cty, name = ~drv)) -subplot(plots[["p"]], nrows = 3, shareX = TRUE) - -# arrange displays by their mean -means <- summarise(d, mn = mean(cty, na.rm = TRUE)) -means \%>\% - left_join(plots) \%>\% - arrange(mn) \%>\% - .[["p"]] \%>\% - subplot(nrows = NROW(.), shareX = TRUE) - -# more dplyr verbs applied to plotly objects -p <- mtcars \%>\% - plot_ly(x = ~wt, y = ~mpg, name = "scatter trace") \%>\% - add_markers() -p \%>\% slice(1) \%>\% plotly_data() -p \%>\% slice(1) \%>\% add_markers(name = "first observation") -p \%>\% filter(cyl == 4) \%>\% plotly_data() -p \%>\% filter(cyl == 4) \%>\% add_markers(name = "four cylinders") - - -}