To order

Easy Charts contains a collection of nodes for each main node in Godot: Control Nodes, 2D Nodes and 3D Spatials. To plot a chart you only need to:

1. Save in your project a .CSV file containing the table of values you want to represent, just like the following one:
   or, of course, the inverted one:
   

2. In Godot, choose a Chart you'd like to plot. For istance, let's take a BarChart2D, specifically used to plot chart in a Node2D. You can instance it as a Child Scene or drag it from the Explorer:
   
   

3. Once in the tree, move it around as a normal Node, and set it's values directly in editor, like so:
   
   You can directly select the file you want to plot from the editor, and change its values as you prefer. Most of the features will be displayed in real time in Editor while you are editing them.

4. With just one line of code, you will be able to plot the chart. Use the line of code $BarChart2D.plot() to plot the chart with the properties edited in the editor.
   
   Running the project like this, will produce this chart:
   

5. Moving the cursor around you will be able to see a floating box with the values contained in the chart:
   

Chart Tools

Chart Tools are a set of utilities parallel to the plot itself.

Available Chart Tools are:

• Legend Output: once a chart is plotted, you can get an output legend connecting the right signal, or just using custom functions. A legend is a simple Array of custom Control nodes, which contains informations about the chart for each function plotted.
  Once plotted, the chart will emit a custom chart_plotted( chart ) signal. To get the legend, you just can connect this signal, or use the get_legend functions afterwards. A legend variable can then be used to print out or represent in a full customizable way the legend of functions. For example, these lines of codes:
  
  
  You can get this result:
  

• Point Value: as you can see, each chart is pretty much interactable, giving you the opportunity to visualize the point represented with hovering it with your mouse. But what if you want to use its values for your own purposes? No problem, with the use of the signal point_pressed ( point : Point ) you will be able to get all the informations about a point you clicked on in the chart.
  
  

Table of features

Chart

Function	Description
plot()	Plot the selected chart with in editor properties
plot_from_csv(csv_file : String, _delimiter : String = delimiter)	Plot the selected chart defining the source and delimiter from code
plot_from_array(array : Array)	Plot the selected chart giving an Array of values as a source
update_plot_data(array : Array)	Update plot data giving an additional entry to the source
get_legend()	Get the legend of the current chart. Returns an Array containing control nodes, which can be added as children
API v2	additional functions to define chart's properties from code. Hardcoded properties will overwrite the ones given from editor
set_chart_name(ch_name : String)	Set the displayed name of the chart
set_source(source_file : String)	Set the source of the chart to plot
set_delimiter(delimiter : String)	Set the delimiter to read data from a CSV file
set_indexes(lb : int = 0, function_names : int = 0)	Set the optional indexes of chart's data
set_radius(use_height : bool = false, f : float = 0)	Set the radius of the chart, if it is required. If use_height is true, the height of the chart will be used.
set_chart_colors(f_colors : PoolColorArray, o_color : Color, b_color : Color, g_color : Color, h_lines : Color, v_lines : Color)	Set the colors of the chart
set_chart_fonts(normal_font : Font, bold_font : Font, f_color : Color = Color.white)	Set fonts and font's color for the chart
set_source(source_file : String)	Set the source of the chart to plot

Signals	Description
chart_plotted(chart : Node)	Returns the plotted Chart, which is a Node (Control, 2D Node, 3D Node)
point_pressed(point : Point)	Returns the point pressed with Left Click, which is a custom class Point

Legend

Function	Description
get_function() -> Array	Get the function's name, also visible in legend
get_function_color() -> Color	Get the function's color, also visible in legend

Point

Function	Description
get_value() -> Array	Get the point values, which are mapped coordinates in the plot. Returns a 2D array, with [0] and [1] as x and y values
get_function() -> String	Get the point's function name, also visible in legend and chart
get_color_point() -> Color	Get the point Color, also visible in legend and chart

About templates
Templates are defined in a .json file, and the format is pretty straight forward.
However, adding custom templates is not yet recommended, since it would require to edit the Charts scripts. Templates are anyway accessible and customizable.

/addons/easy_charts/templates.json

"default":
{
"function_colors" : ["#1e1e1e","#1e1e1e","#1e1e1e","#1e1e1e"],
"v_lines_color" : "#cacaca",
"h_lines_color" : "#cacaca",
"outline_color" : "#1e1e1e",
"font_color" : "#1e1e1e"
},