gridex_ipython_example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# Grid_ex_ - Your Grid Spectroscopy Solution\n",
    "\n",
    "This notebook provides an example how to use the module *_gridex_* to read ASCII or binary Nanonis data. Fits of IZ and KPFM curves on a grid are demonstrated and the results are plotted in interactive graphs.\n",
    "\n",
    "## Installation\n",
    "\n",
    "Get the file \"gridex.py\" and put it into your working directory or the python import path.\n",
    "\n",
    "Uses: numpy, scipy, matplotlib, seaborn, IPython, ipywidgets\n",
    "\n",
    "Tested with Python 3.4 and 3.5, numpy 1.10.1, scipy 0.16.0, matplotlib 1.5.0, seaborn 0.7.dev (0.6 gives some warnings, but works as well), IPython 4.0.1, ipywidgets 4.1.0\n",
    "\n",
    "_Alex Riss, 2017_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# Import modules and initial setup.\n",
    "# The \"imp.realod\" just reloads the module and is convenient for testing (the line can be left out).\n",
    "\n",
    "%matplotlib notebook\n",
    "import gridex\n",
    "import ipywidgets\n",
    "import IPython\n",
    "\n",
    "datasets={}\n",
    "plots={}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# load binary data\n",
    "\n",
    "fname = 'data/name.3ds'\n",
    "datasets[fname] = gridex.GridData()\n",
    "datasets[fname].load_spectroscopy(fname)\n",
    "\n",
    "# fit IZ\n",
    "datasets[fname].fit_IZ()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"839\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Image center: 310.5701, -325.1812 nm. Rotation: 0.00 degrees.\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1d657fcb73ce431e84622ff1f83a3266"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the results\n",
    "# check out the keyboard shortcuts for the plot:\n",
    "#     \"m\", \"M\" for markers, arrow keys to move the selected point, \"i\" to toggle legend, \"g\" to toggle grid\n",
    "\n",
    "fname = 'data/name.3ds'  # repeat for testing\n",
    "\n",
    "channels = ['phi_(ev)','fit_r2','fit_sse','z_(m)','amplitude_mean_(m)','amplitude_stddev_(m)']\n",
    "plots[fname] = gridex.PlotData(datasets[fname])\n",
    "\n",
    "fig = plots[fname].plot_channels(channels, cmap=\"Blues_r\")\n",
    "IPython.display.display(plots[fname].plot_options())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "400 files read.\n"
     ]
    }
   ],
   "source": [
    "# load ASCII data\n",
    "\n",
    "fname = 'data/KPFM_dimer_constz_grid2_*.dat'\n",
    "datasets[fname] = gridex.GridData()\n",
    "datasets[fname].load_spectroscopy(fname, long_output=False)\n",
    "datasets[fname].fit_KPFM(x_limit=[-0.8,0.2])  # we can set a x_limit for the fit\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"839\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: Do not know the dimensions of the image. Assuming a 20 x 20 grid of 2.40 x 2.40 nm.\n",
      "Image center: 322.2180, -311.0400 nm. Rotation: 0.00 degrees.\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ccad631024164f4facdb0d48c14ea6b9"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# fit KPFM and plot the results\n",
    "\n",
    "channels = ['v*_(v)','df*_(hz)','fit_r2','fit_sse','amplitude_mean_(m)','amplitude_stddev_(m)']\n",
    "plots[fname] = gridex.PlotData(datasets[fname])\n",
    "fig = plots[fname].plot_channels(channels, num_rows=3, cmap='Blues_r')   # cmap='Blues'\n",
    "IPython.display.display(plots[fname].plot_options())"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.3"
  },
  "toc": {
   "colors": {
    "hover_highlight": "#DAA520",
    "running_highlight": "#FF0000",
    "selected_highlight": "#FFD700"
   },
   "moveMenuLeft": true,
   "nav_menu": {
    "height": "65px",
    "width": "252px"
   },
   "navigate_menu": true,
   "number_sections": true,
   "sideBar": true,
   "threshold": 4,
   "toc_cell": false,
   "toc_section_display": "block",
   "toc_window_display": false
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {
     "01ad0b62fb6e481db94cf5e08f02830e": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "02530fe6c4d54afdab9b777442067972": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "VBoxModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "children": [
        "IPY_MODEL_34800e0182644e3ab5d2952ce5fa613f",
        "IPY_MODEL_a5a76ae657904c5c88ca91cb78228a68"
       ],
       "layout": "IPY_MODEL_2d62a6152ba74de1a810b52ecda95ffe"
      }
     },
     "04e31af536fe4475956db6472fa6c568": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "0e931ed556ab47a5b46979ddb32d7618": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "ToggleButtonModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "description": "Marker",
       "layout": "IPY_MODEL_2fc7a0bd10504fcd86bebe64719ddfd7",
       "value": true
      }
     },
     "0e98616c4988422ba94573b0f58b08f4": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "1504dea158df4f3da4d1a3a48dd191e7": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "SliderStyleModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "16af48f70de0401cb65ce2f0426535dd": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "1701b97e02024697ac39f562f68889df": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "VBoxModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "children": [
        "IPY_MODEL_5acc0e0a3d354087b84c03228e07c1ee",
        "IPY_MODEL_9aeb87cb044c46fcb63177f3b03b4d96"
       ],
       "layout": "IPY_MODEL_8d4fb7f4b11f43c585d358b140cfc50d"
      }
     },
     "18e875e4337b43d38f0f1b8c6a0cf0cb": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "SelectMultipleModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_options_labels": [
        "current_(a)",
        "bias_(v)",
        "z_(m)",
        "amplitude_(m)",
        "frequency_shift_(hz)",
        "excitation_(v)",
        "current_[bwd]_(a)",
        "bias_[bwd]_(v)",
        "z_[bwd]_(m)",
        "amplitude_[bwd]_(m)",
        "frequency_shift_[bwd]_(hz)",
        "excitation_[bwd]_(v)",
        "log_current_(a)",
        "fit_log_current_(a)",
        "fit_res_log_current_(a)",
        "fit_current_(a)",
        "fit_res_current_(a)"
       ],
       "_view_module_version": "~2.1.4",
       "description": "Channels:",
       "layout": "IPY_MODEL_aa176d6779e74e65a7902c1909f82a07",
       "value": [
        "log_current_(a)",
        "fit_log_current_(a)"
       ]
      }
     },
     "1a04a4b7e4024f0db3c4091ad846d704": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "DropdownModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_options_labels": [
        "current_(a)",
        "bias_(v)",
        "z_(m)",
        "amplitude_(m)",
        "frequency_shift_(hz)",
        "excitation_(v)",
        "current_[bwd]_(a)",
        "bias_[bwd]_(v)",
        "z_[bwd]_(m)",
        "amplitude_[bwd]_(m)",
        "frequency_shift_[bwd]_(hz)",
        "excitation_[bwd]_(v)",
        "log_current_(a)",
        "fit_log_current_(a)",
        "fit_res_log_current_(a)",
        "fit_current_(a)",
        "fit_res_current_(a)"
       ],
       "_view_module_version": "~2.1.4",
       "description": "x axis:",
       "layout": "IPY_MODEL_fd60e79c000c40b3aaac03bec3e02e9e",
       "value": "z_(m)"
      }
     },
     "1d657fcb73ce431e84622ff1f83a3266": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "HBoxModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "children": [
        "IPY_MODEL_50a7fc71dd7e4c1398a1f4b73e80d40d",
        "IPY_MODEL_cdc1e4067398437a83d36aed633e2909",
        "IPY_MODEL_1701b97e02024697ac39f562f68889df"
       ],
       "layout": "IPY_MODEL_eaf2fac091274df8882443b0197c800e"
      }
     },
     "245373cc34f74b079ec6465465b93ebe": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "HBoxModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "children": [
        "IPY_MODEL_dd4efbc5c55a4d92aed42b7cc0430e42",
        "IPY_MODEL_e387bc69a96c47ceb9d2fe3b09bd3ca1"
       ],
       "layout": "IPY_MODEL_d315eb55e478428b9aad047deb7e1b7f"
      }
     },
     "2d62a6152ba74de1a810b52ecda95ffe": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "2e5af868c7e34c599625b29af684ca3f": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "2fc7a0bd10504fcd86bebe64719ddfd7": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "346e3caad178417595b6d87a5078d657": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "SliderStyleModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "34800e0182644e3ab5d2952ce5fa613f": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "DropdownModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_options_labels": [
        "bias_calc_(v)",
        "current_(a)",
        "applied_voltage_measured_(v)",
        "bias_(v)",
        "phase_(deg)",
        "amplitude_(m)",
        "frequency_shift_(hz)",
        "excitation_(v)",
        "lix_1_omega_(a)",
        "liy_1_omega_(a)",
        "fit_frequency_shift_(hz)",
        "fit_res_frequency_shift_(hz)"
       ],
       "_view_module_version": "~2.1.4",
       "description": "x axis:",
       "layout": "IPY_MODEL_8c3b144ad0664ee89dfbdf039ddaeaeb",
       "value": "bias_(v)"
      }
     },
     "34ad937c587041cc8bcc2941c171f851": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "ToggleButtonModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "description": "Grid",
       "layout": "IPY_MODEL_52463d5cb93e48d29f0f0cb4978fd230"
      }
     },
     "3b344b8d3f1143c0bead8841fc22002c": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "3b545829b88d40d3aed46741a05cc203": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "ToggleButtonModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "description": "2nd graph",
       "layout": "IPY_MODEL_01ad0b62fb6e481db94cf5e08f02830e",
       "value": true
      }
     },
     "41b5769f12af45f6aa861b57a61681f4": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "ToggleButtonModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "description": "Marker+",
       "layout": "IPY_MODEL_04e31af536fe4475956db6472fa6c568"
      }
     },
     "4882f328613b4a43a0bd341a71e10ba1": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "IntSliderModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "description": "Point:",
       "layout": "IPY_MODEL_f9b5d89d6bf14b0ba5353805c5e7fe34",
       "max": 400,
       "min": 1,
       "style": "IPY_MODEL_346e3caad178417595b6d87a5078d657",
       "value": 211
      }
     },
     "50a7fc71dd7e4c1398a1f4b73e80d40d": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "VBoxModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "children": [
        "IPY_MODEL_7e096712f3ae4a819ffad32bc9d5e846",
        "IPY_MODEL_a4658b08a4bf4c1ca2ce0928f4f42be5",
        "IPY_MODEL_76a628ebbde74e86b0afb914fcc707c0",
        "IPY_MODEL_3b545829b88d40d3aed46741a05cc203"
       ],
       "layout": "IPY_MODEL_a530fafbf6154d4380a7a095e3fd2e17"
      }
     },
     "52463d5cb93e48d29f0f0cb4978fd230": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "558f0db1412842bfb5fdd27db95c209a": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "5acc0e0a3d354087b84c03228e07c1ee": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "DropdownModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_options_labels": [
        "current_(a)",
        "bias_(v)",
        "z_(m)",
        "amplitude_(m)",
        "frequency_shift_(hz)",
        "excitation_(v)",
        "current_[bwd]_(a)",
        "bias_[bwd]_(v)",
        "z_[bwd]_(m)",
        "amplitude_[bwd]_(m)",
        "frequency_shift_[bwd]_(hz)",
        "excitation_[bwd]_(v)",
        "log_current_(a)",
        "fit_log_current_(a)",
        "fit_res_log_current_(a)",
        "fit_current_(a)",
        "fit_res_current_(a)"
       ],
       "_view_module_version": "~2.1.4",
       "description": "x axis:",
       "layout": "IPY_MODEL_c8c6c334028b419199ffbcc812f9a567",
       "value": "z_(m)"
      }
     },
     "619debb4380e47098d09617eabcc681c": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "727bfcd5b4544a13866ce9afcda7f324": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "ToggleButtonModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "description": "Marker",
       "layout": "IPY_MODEL_f588799cfcda4671aba30d40cb66120d",
       "value": true
      }
     },
     "72c00d16c437472fbc3b3ac704b4e43b": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "ToggleButtonModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "description": "2nd graph",
       "layout": "IPY_MODEL_16af48f70de0401cb65ce2f0426535dd",
       "value": true
      }
     },
     "76a628ebbde74e86b0afb914fcc707c0": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "HBoxModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "children": [
        "IPY_MODEL_34ad937c587041cc8bcc2941c171f851",
        "IPY_MODEL_bdf17f7d34fe4031855396582266b732"
       ],
       "layout": "IPY_MODEL_2e5af868c7e34c599625b29af684ca3f"
      }
     },
     "7904dce7fccd42f78fc1471fa935a363": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "7e096712f3ae4a819ffad32bc9d5e846": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "IntSliderModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "description": "Point:",
       "layout": "IPY_MODEL_7904dce7fccd42f78fc1471fa935a363",
       "max": 400,
       "min": 1,
       "style": "IPY_MODEL_1504dea158df4f3da4d1a3a48dd191e7",
       "value": 51
      }
     },
     "7e9944b6b48e43978d4d3e4a4c17a8a8": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "DropdownModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_options_labels": [
        "bias_calc_(v)",
        "current_(a)",
        "applied_voltage_measured_(v)",
        "bias_(v)",
        "phase_(deg)",
        "amplitude_(m)",
        "frequency_shift_(hz)",
        "excitation_(v)",
        "lix_1_omega_(a)",
        "liy_1_omega_(a)",
        "fit_frequency_shift_(hz)",
        "fit_res_frequency_shift_(hz)"
       ],
       "_view_module_version": "~2.1.4",
       "description": "x axis:",
       "layout": "IPY_MODEL_b08d9d168d6d476a8c019d8db7be4b69",
       "value": "bias_(v)"
      }
     },
     "82ea2f660247495398549bcffb035aea": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "ToggleButtonModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "description": "Marker+",
       "layout": "IPY_MODEL_8419866ef7184552b00fc49a4e3a2a5f",
       "value": true
      }
     },
     "8419866ef7184552b00fc49a4e3a2a5f": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "88e69fb18bde4090bd96a8f18f9072a2": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "VBoxModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "children": [
        "IPY_MODEL_4882f328613b4a43a0bd341a71e10ba1",
        "IPY_MODEL_8d4ddcc428ff4dce95f8c4e0ef833e2c",
        "IPY_MODEL_245373cc34f74b079ec6465465b93ebe",
        "IPY_MODEL_72c00d16c437472fbc3b3ac704b4e43b"
       ],
       "layout": "IPY_MODEL_619debb4380e47098d09617eabcc681c"
      }
     },
     "8c3b144ad0664ee89dfbdf039ddaeaeb": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "8d4ddcc428ff4dce95f8c4e0ef833e2c": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "HBoxModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "children": [
        "IPY_MODEL_727bfcd5b4544a13866ce9afcda7f324",
        "IPY_MODEL_82ea2f660247495398549bcffb035aea"
       ],
       "layout": "IPY_MODEL_a2bc1196d2b4419db50df6eb0a072e02"
      }
     },
     "8d4fb7f4b11f43c585d358b140cfc50d": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "9acfefaea6044f95b0f80a175cb9fda8": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "9aeb87cb044c46fcb63177f3b03b4d96": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "SelectMultipleModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_options_labels": [
        "current_(a)",
        "bias_(v)",
        "z_(m)",
        "amplitude_(m)",
        "frequency_shift_(hz)",
        "excitation_(v)",
        "current_[bwd]_(a)",
        "bias_[bwd]_(v)",
        "z_[bwd]_(m)",
        "amplitude_[bwd]_(m)",
        "frequency_shift_[bwd]_(hz)",
        "excitation_[bwd]_(v)",
        "log_current_(a)",
        "fit_log_current_(a)",
        "fit_res_log_current_(a)",
        "fit_current_(a)",
        "fit_res_current_(a)"
       ],
       "_view_module_version": "~2.1.4",
       "description": "Channels:",
       "layout": "IPY_MODEL_a5bc54c9a877412e93b0ac04060a6a16",
       "value": [
        "fit_res_log_current_(a)"
       ]
      }
     },
     "a2bc1196d2b4419db50df6eb0a072e02": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "a3f072d5007a43219acb3297a8df14e3": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "VBoxModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "children": [
        "IPY_MODEL_7e9944b6b48e43978d4d3e4a4c17a8a8",
        "IPY_MODEL_d6a1d2207cd243dfa70c60c613b02087"
       ],
       "layout": "IPY_MODEL_a9d5b06a7f3449699259e603e3bc32a0"
      }
     },
     "a4658b08a4bf4c1ca2ce0928f4f42be5": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "HBoxModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "children": [
        "IPY_MODEL_0e931ed556ab47a5b46979ddb32d7618",
        "IPY_MODEL_41b5769f12af45f6aa861b57a61681f4"
       ],
       "layout": "IPY_MODEL_e924e420a5f44b419e272bd1b742eef4"
      }
     },
     "a530fafbf6154d4380a7a095e3fd2e17": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "a5a76ae657904c5c88ca91cb78228a68": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "SelectMultipleModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_options_labels": [
        "bias_calc_(v)",
        "current_(a)",
        "applied_voltage_measured_(v)",
        "bias_(v)",
        "phase_(deg)",
        "amplitude_(m)",
        "frequency_shift_(hz)",
        "excitation_(v)",
        "lix_1_omega_(a)",
        "liy_1_omega_(a)",
        "fit_frequency_shift_(hz)",
        "fit_res_frequency_shift_(hz)"
       ],
       "_view_module_version": "~2.1.4",
       "description": "Channels:",
       "layout": "IPY_MODEL_f57b1971479e4a1baf8d427f5ba1f541",
       "value": [
        "frequency_shift_(hz)",
        "fit_frequency_shift_(hz)"
       ]
      }
     },
     "a5bc54c9a877412e93b0ac04060a6a16": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "a9d5b06a7f3449699259e603e3bc32a0": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "aa176d6779e74e65a7902c1909f82a07": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "afce75b301a34a9d978b1f968b16184d": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "b08d9d168d6d476a8c019d8db7be4b69": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "bdf17f7d34fe4031855396582266b732": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "ToggleButtonModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "description": "Legend",
       "layout": "IPY_MODEL_d45210771ed44f449ab7a8cbbf3e3a65",
       "value": true
      }
     },
     "c8c6c334028b419199ffbcc812f9a567": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "ccad631024164f4facdb0d48c14ea6b9": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "HBoxModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "children": [
        "IPY_MODEL_88e69fb18bde4090bd96a8f18f9072a2",
        "IPY_MODEL_02530fe6c4d54afdab9b777442067972",
        "IPY_MODEL_a3f072d5007a43219acb3297a8df14e3"
       ],
       "layout": "IPY_MODEL_558f0db1412842bfb5fdd27db95c209a"
      }
     },
     "cdc1e4067398437a83d36aed633e2909": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "VBoxModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "children": [
        "IPY_MODEL_1a04a4b7e4024f0db3c4091ad846d704",
        "IPY_MODEL_18e875e4337b43d38f0f1b8c6a0cf0cb"
       ],
       "layout": "IPY_MODEL_afce75b301a34a9d978b1f968b16184d"
      }
     },
     "d315eb55e478428b9aad047deb7e1b7f": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "d45210771ed44f449ab7a8cbbf3e3a65": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "d6a1d2207cd243dfa70c60c613b02087": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "SelectMultipleModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_options_labels": [
        "bias_calc_(v)",
        "current_(a)",
        "applied_voltage_measured_(v)",
        "bias_(v)",
        "phase_(deg)",
        "amplitude_(m)",
        "frequency_shift_(hz)",
        "excitation_(v)",
        "lix_1_omega_(a)",
        "liy_1_omega_(a)",
        "fit_frequency_shift_(hz)",
        "fit_res_frequency_shift_(hz)"
       ],
       "_view_module_version": "~2.1.4",
       "description": "Channels:",
       "layout": "IPY_MODEL_9acfefaea6044f95b0f80a175cb9fda8",
       "value": [
        "fit_res_frequency_shift_(hz)"
       ]
      }
     },
     "dd4efbc5c55a4d92aed42b7cc0430e42": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "ToggleButtonModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "description": "Grid",
       "layout": "IPY_MODEL_0e98616c4988422ba94573b0f58b08f4"
      }
     },
     "e387bc69a96c47ceb9d2fe3b09bd3ca1": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "ToggleButtonModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4",
       "description": "Legend",
       "layout": "IPY_MODEL_3b344b8d3f1143c0bead8841fc22002c",
       "value": true
      }
     },
     "e924e420a5f44b419e272bd1b742eef4": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "eaf2fac091274df8882443b0197c800e": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "f57b1971479e4a1baf8d427f5ba1f541": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "f588799cfcda4671aba30d40cb66120d": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "f9b5d89d6bf14b0ba5353805c5e7fe34": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "fd60e79c000c40b3aaac03bec3e02e9e": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "LayoutModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     }
    },
    "version_major": 1,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}