Fractional_Cover_Product_Page.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What is Fractional Cover? [[1, 2](#References)]\n",
    "\n",
    "The Landsat Fractional Cover product stored in DEA is at 25m x 25m resolution (the same as the Landsat surface reflectance products).\n",
    "\n",
    "Fractional Cover represents the proportion of the land surface\n",
    "that is bare (BS), covered by photosynthetic vegetation (PV), or non-photosynthetic vegetation (NPV). \n",
    "\n",
    "The Fractional Cover product was generated using the spectral unmixing algorithm developed by the Joint Remote Sensing Research Program (JRSRP) [[2](#References)] which used the spectral signature for each pixel to break it up into three fractions, based on field work that determined the spectral characteristics of these fractions. [[1](#References)]The fractions were retrieved by inverting multiple linear regression estimates and using synthetic endmembers in a constrained non-negative least squares unmixing model.[[1](#References)]\n",
    "\n",
    "The green (PV) fraction includes leaves and grass, the non-photosynthetic fraction (NPV) includes branches, dry grass and dead leaf litter, and the bare soil (BS) fraction includes bare soil or rock.[[1](#References)]\n",
    "\n",
    "## What is WOFS?\n",
    "\n",
    "Water Observations from Space (WOfS) is a web service displaying historical surface water observations derived from satellite imagery for all of Australia from 1987 to present day. WOfS aims is to allow better understanding of where water is usually present; where it is seldom observed; and where inundation of the surface has been occasionally observed by satellite. WOfS displays the detected surface water from the Australia-wide Landsat 5 and Landsat 7 satellite imagery archive.\n",
    "\n",
    "For each grid cell within the map, WOfS displays:\n",
    "\n",
    "-  the number of clear satellite observations over the period (1987 to present)\n",
    "-  the number of occasions water was detected\n",
    "-  the percentage of clear observations on which water was detected, and\n",
    "-  the confidence (or probability) that a water observation in this location is correct. This is a percentage, based on a number of factors including the slope of the land and the existence of other corroborative evidence.\n",
    "\n",
    "WOFS is used to filter out cells where water is present, and add the landcover of water to the fractional cover analysis.\n",
    "\n",
    "\n",
    "### Fractional Cover Bands: [[1](#References)]\n",
    "\n",
    "- **Bare Soil (bare ground, rock, disturbed) (BS):**  - Bare Ground (bare soil, rock) percentage; Digital Number 10000 = 100%\n",
    "\n",
    "- **Photosythetic Vegetation. (green grass, trees, etc.) (PV):**  - Photosynthetic Vegetation: Green Vegetation percentage;Digital Number 10000 = 100%\n",
    "\n",
    "- **Non-Photosythetic vegetation (litter, dead leaf and branches) (NPV):** - Non-Photosynthetic Vegetation (litter, dead leaves andbranches) percentage; Digital Number 10000 = 100%\n",
    "\n",
    "- **Unmixing Error (UE):**  - Unmixing Error. The residual error, defined as the Euclidean Norm of the Residual Vector. High values express less confidence in the fractional components.\n",
    "    \n",
    "__No Data Values:__ Fractional cover contains no data values (-1)\n",
    "we use the datacube storage function \"masking.mask_invalid_data\" to remove these from our data before using the data\n",
    "\n",
    "### Limitations, Errors and Uncertainty:\n",
    "\n",
    "__Water and soil moisture:__\n",
    "Pixels over water may show incorrect values for Photosynthetic Vegetation. [[1](#References)] Water has been been masked out, using WOfS. Soil moisture may affect the accuracy of the product [[1](#References)]. \n",
    "\n",
    "__Sums greater than 100%:__\n",
    "\"Occasionally the sum of the three components is not equal to 100%. Differences are usually small and are not rounded in order to preserve what may be useful seasonal indicators. \"[[1](#References)]\n",
    "\n",
    "__Similarity between Bare Soil and NPV:__\n",
    "Model can perform badly on pixels where bare soil and NPV endmembers are similar. [[1](#References)]\n",
    "\n",
    "__Compared to field data:__\n",
    "\"Based on the comparison with the field data the FC25 product has an overall Root Mean Squared Error (RMSE) of 11.8%. The error margins vary for the three different layers: green RMSE: 11.0%, non-green RMSE: 17.4% and bare RMSE: 12.5%\" [[1](#References)]\n",
    "\n",
    "### How to use this notebook\n",
    "\n",
    "This note book has been designed to interogate fractional cover information stored on the public facing DEA (Digital Earth Australia). \n",
    "\n",
    "What capabilties are sampled.\n",
    "\n",
    "    - ** This app will utilise the case study area selected on the landing page.\n",
    "    - ** Explore fractional cover using line plots and stack plots.\n",
    "    - ** User able to export out into csv or excel an output containing interogated data.\n",
    "    - ** User is able to export loaded case study as netcdf\n",
    "        \n",
    "\n",
    "The jupyter app allows users to draw a polygon or point over a case study display a stacked plot, and summarise data in a table. \n",
    "\n",
    "\n",
    "\n",
    "### To execute a cell - click on the cell and push cntrl + enter\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%store -r"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Macros have been loaded in to this environment and are essentially python code that builds app user interface, and code that uses the ODC python API to retrieve a datacube for interogation. The above command loads into the work space the apps that have been created.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fractional Cover Line Plot App\n",
    "\n",
    "This app will load fractional cover data for the region selected on the select case study region app, and enables users to compare cover over the same line graph.\n",
    "\n",
    "The app will mask out any landsat cells in which water was detected and include that in the landcover summary.\n",
    "\n",
    "Please use the draw point tool to select a single pixel, this tool will compile fractional cover information a table and display a each item of it on seperate line graphs.\n",
    "\n",
    "Please use the draw polygon tool to select a region, this tool will compile fractional cover information in a table and display each item on seperate line graphs. \n",
    "\n",
    "-  The line plot y-axis represent landcover as a percentage of the total area of the interogating polygon or point.\n",
    "-  The table shows total area per landcover.\n",
    "\n",
    "Each interogation will be compiled into the same table but displayed on different graphs.\n",
    "\n",
    "### This app also retrieves data from the public facing DEA before it loads. Do wait!!\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n",
      "loaded FC\n",
      "loaded WOFL\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d99a8de221b94f19a4ab44b955a6b3af",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(Map(basemap={'url': 'http://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServe…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "102500 103484.71978008747\n"
     ]
    },
    {
     "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",
       "        fig.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 overridden (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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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=\"999.999985098839\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "138125 139422.5428967774\n"
     ]
    }
   ],
   "source": [
    "fractional_cover_line_plot_app"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For more advanced python users all elements of the cube can be extracted as per the below cells demonstrate."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once this tool has run you are able to access the created objects"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.Dataset>\n",
      "Dimensions:  (time: 106, x: 131, y: 95)\n",
      "Coordinates:\n",
      "  * time     (time) datetime64[ns] 2013-03-27T23:45:53 2013-04-18T23:49:18 ...\n",
      "  * y        (y) float64 -2.857e+06 -2.857e+06 -2.857e+06 -2.857e+06 ...\n",
      "  * x        (x) float64 2.026e+06 2.026e+06 2.026e+06 2.026e+06 2.026e+06 ...\n",
      "Data variables:\n",
      "    BS       (time, y, x) float64 93.75 81.25 37.5 12.5 25.0 43.75 118.8 ...\n",
      "    PV       (time, y, x) float64 431.2 443.8 437.5 456.2 443.8 443.8 393.8 ...\n",
      "    NPV      (time, y, x) float64 93.75 87.5 143.8 143.8 137.5 125.0 100.0 ...\n",
      "    UE       (time, y, x) float64 75.0 75.0 87.5 93.75 93.75 87.5 68.75 87.5 ...\n",
      "    water    (time, y, x) float64 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ...\n"
     ]
    }
   ],
   "source": [
    "print (ds_all) ###This is the data cube object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            BS_Polygon 0  PV_Polygon 0  NPV_Polygon 0  water_Polygon 0  \\\n",
      "time                                                                     \n",
      "2013-03-31      4387.500     76593.750      19562.500              0.0   \n",
      "2013-04-30     16168.750     29975.000      55243.750              0.0   \n",
      "2013-05-31        75.000     41712.500      62887.500              0.0   \n",
      "2013-06-30      5618.750     45134.375      49325.000              0.0   \n",
      "2013-07-31      8153.125     65884.375      27115.625              0.0   \n",
      "2013-08-31      6565.625     50178.125      44678.125              0.0   \n",
      "2013-09-30     15893.750     18381.250      67118.750              0.0   \n",
      "2013-10-31     37018.750     13121.875      51381.250              0.0   \n",
      "2013-11-30     55187.500     12725.000      33425.000              0.0   \n",
      "2013-12-31     42540.625     23843.750      34656.250              0.0   \n",
      "2014-01-31         0.000     28443.750      73175.000              0.0   \n",
      "2014-02-28     29837.500     66050.000       6175.000              0.0   \n",
      "2014-03-31     14706.250     61778.125      25071.875              0.0   \n",
      "2014-04-30      9950.000     63678.125      28046.875              0.0   \n",
      "2014-05-31     59896.875     11962.500      29615.625              0.0   \n",
      "2014-06-30     37540.625      7453.125      55543.750              0.0   \n",
      "2014-07-31     85337.500         6.250      15946.875              0.0   \n",
      "2014-08-31     69696.875       150.000      31425.000              0.0   \n",
      "2014-09-30     48687.500     12471.875      40556.250              0.0   \n",
      "2014-10-31     31284.375     13775.000      55543.750              0.0   \n",
      "2014-11-30     50493.750     25318.750      25225.000              0.0   \n",
      "2014-12-31     23121.875     55471.875      22609.375              0.0   \n",
      "2015-01-31     11434.375     56212.500      34356.250              0.0   \n",
      "2015-02-28     15612.500     26800.000      56246.875              0.0   \n",
      "2015-03-31     22775.000     66906.250      12009.375              0.0   \n",
      "2015-04-30     11384.375     82303.125       7375.000              0.0   \n",
      "2015-05-31     10465.625     85940.625       4725.000              0.0   \n",
      "2015-06-30     24400.000     73678.125       3800.000              0.0   \n",
      "2015-07-31     11918.750     78843.750      10412.500              0.0   \n",
      "2015-08-31     10750.000     68968.750      21353.125              0.0   \n",
      "...                  ...           ...            ...              ...   \n",
      "2015-10-31     16475.000     21981.250      62556.250              0.0   \n",
      "2015-11-30     36509.375     28106.250      36559.375              0.0   \n",
      "2015-12-31     14600.000     73075.000      13225.000              0.0   \n",
      "2016-01-31     10500.000     79978.125      10746.875              0.0   \n",
      "2016-02-29     37543.750     51937.500      12468.750              0.0   \n",
      "2016-03-31      8321.875     85375.000       7534.375              0.0   \n",
      "2016-04-30      5215.625     70718.750      25809.375              0.0   \n",
      "2016-05-31      9100.000     83771.875       8143.750              0.0   \n",
      "2016-06-30     21671.875     64678.125      15106.250              0.0   \n",
      "2016-07-31      8443.750     81718.750      10818.750              0.0   \n",
      "2016-08-31     13868.750     75693.750      11412.500              0.0   \n",
      "2016-09-30         0.000     21087.500      80556.250              0.0   \n",
      "2016-10-31     43243.750     29118.750      28840.625              0.0   \n",
      "2016-11-30     31787.500     50575.000      18631.250              0.0   \n",
      "2016-12-31     29668.750     55806.250      16109.375              0.0   \n",
      "2017-01-31     11259.375     81878.125       8281.250              0.0   \n",
      "2017-02-28     24643.750     73290.625       3600.000              0.0   \n",
      "2017-03-31      2125.000     86743.750      13300.000              0.0   \n",
      "2017-04-30      8609.375     69171.875      23278.125              0.0   \n",
      "2017-05-31      7031.250     77637.500      16368.750              0.0   \n",
      "2017-06-30     29100.000     50043.750      22456.250              0.0   \n",
      "2017-07-31      7050.000     74000.000      19915.625              0.0   \n",
      "2017-08-31     11046.875     64381.250      25593.750              0.0   \n",
      "2017-09-30     37456.250     17765.625      45509.375              0.0   \n",
      "2017-10-31     16134.375     24337.500      58631.250              0.0   \n",
      "2017-11-30     29618.750     59746.875      11700.000              0.0   \n",
      "2017-12-31     17812.500     66221.875      17168.750              0.0   \n",
      "2018-01-31     25209.375     67009.375       9240.625              0.0   \n",
      "2018-02-28      7559.375     83846.875       9684.375              0.0   \n",
      "2018-03-31     10181.250     82750.000       8075.000              0.0   \n",
      "\n",
      "            BS_Polygon 1  PV_Polygon 1  NPV_Polygon 1  water_Polygon 1  \n",
      "time                                                                    \n",
      "2013-03-31     38362.500     91737.500       6500.000              0.0  \n",
      "2013-04-30     15856.250     60300.000      60343.750              0.0  \n",
      "2013-05-31       662.500     56325.000      84018.750              0.0  \n",
      "2013-06-30      7850.000     57050.000      70240.625              0.0  \n",
      "2013-07-31      9456.250     80237.500      46812.500              0.0  \n",
      "2013-08-31      9903.125     58837.500      67884.375              0.0  \n",
      "2013-09-30     24337.500     25506.250      86875.000              0.0  \n",
      "2013-10-31     35731.250     28318.750      72656.250              0.0  \n",
      "2013-11-30     46121.875     41062.500      49903.125              0.0  \n",
      "2013-12-31     36375.000     48815.625      51109.375              0.0  \n",
      "2014-01-31         0.000     42406.250      95781.250              0.0  \n",
      "2014-02-28         0.000     22381.250      17350.000          97500.0  \n",
      "2014-03-31     46437.500     35590.625      54512.500              0.0  \n",
      "2014-04-30     38428.125     80781.250      17425.000              0.0  \n",
      "2014-05-31     47915.625     83678.125       4937.500              0.0  \n",
      "2014-06-30     12884.375     51656.250      70900.000              0.0  \n",
      "2014-07-31     13237.500     92109.375      30781.250              0.0  \n",
      "2014-08-31     20025.000     75415.625      40965.625              0.0  \n",
      "2014-09-30     60803.125     31237.500      45065.625              0.0  \n",
      "2014-10-31     44262.500     15778.125      74018.750              0.0  \n",
      "2014-11-30     98018.750     12043.750      26012.500              0.0  \n",
      "2014-12-31     39362.500     81825.000      15371.875              0.0  \n",
      "2015-01-31     14584.375     75328.125      47543.750              0.0  \n",
      "2015-02-28      1790.625     40746.875      94184.375              0.0  \n",
      "2015-03-31     26606.250     63859.375      45603.125              0.0  \n",
      "2015-04-30     21381.250     74734.375      40193.750              0.0  \n",
      "2015-05-31     19200.000    105650.000      11206.250              0.0  \n",
      "2015-06-30     35846.875     73206.250      28184.375              0.0  \n",
      "2015-07-31     56040.625     13968.750      66128.125              0.0  \n",
      "2015-08-31     70528.125     10859.375      54643.750              0.0  \n",
      "...                  ...           ...            ...              ...  \n",
      "2015-10-31     38543.750     14740.625      82728.125              0.0  \n",
      "2015-11-30     64796.875     26584.375      44765.625              0.0  \n",
      "2015-12-31     16656.250     86162.500      33237.500              0.0  \n",
      "2016-01-31     13712.500    104903.125      16534.375              0.0  \n",
      "2016-02-29     14756.250     97793.750      24431.250              0.0  \n",
      "2016-03-31     19915.625     91253.125      24750.000              0.0  \n",
      "2016-04-30     36800.000     35250.000      65509.375              0.0  \n",
      "2016-05-31     94962.500      3684.375      37406.250              0.0  \n",
      "2016-06-30     61528.125     20912.500      54200.000              0.0  \n",
      "2016-07-31     97425.000      4600.000      34100.000              0.0  \n",
      "2016-08-31     95387.500      1981.250      38850.000              0.0  \n",
      "2016-09-30         0.000     25937.500     110243.750              0.0  \n",
      "2016-10-31     63931.250     33000.000      39759.375              0.0  \n",
      "2016-11-30     56106.250     44775.000      35625.000              0.0  \n",
      "2016-12-31     44550.000     71156.250      21406.250              0.0  \n",
      "2017-01-31     10815.625    107300.000      17925.000              0.0  \n",
      "2017-02-28     15215.625    105915.625      14784.375              0.0  \n",
      "2017-03-31      7737.500    115762.500      13143.750              0.0  \n",
      "2017-04-30     31571.875     86718.750      18312.500              0.0  \n",
      "2017-05-31     14365.625    101793.750      20175.000              0.0  \n",
      "2017-06-30     35212.500     81318.750      20631.250              0.0  \n",
      "2017-07-31     11762.500     97771.875      26553.125              0.0  \n",
      "2017-08-31     16106.250     79071.875      40918.750              0.0  \n",
      "2017-09-30     18187.500     58087.500      59784.375              0.0  \n",
      "2017-10-31      6456.250     46134.375      81284.375              0.0  \n",
      "2017-11-30     42371.875     48784.375      45290.625              0.0  \n",
      "2017-12-31     31381.250     62321.875      42956.250              0.0  \n",
      "2018-01-31     10146.875    105968.750      19950.000              0.0  \n",
      "2018-02-28     13059.375    107996.875      15331.250              0.0  \n",
      "2018-03-31     17018.750    105112.500      14150.000              0.0  \n",
      "\n",
      "[61 rows x 8 columns]\n"
     ]
    }
   ],
   "source": [
    "print (output_pandas) ###This is the compiled table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'type': 'Feature', 'properties': {'style': {'stroke': True, 'color': '#3388ff', 'weight': 4, 'opacity': 0.5, 'fill': True, 'fillColor': None, 'fillOpacity': 0, 'clickable': True}, 'datasetID': 0}, 'geometry': {'type': 'Polygon', 'coordinates': [[[152.391589, -24.937037], [152.39175, -24.936575], [152.393707, -24.935651], [152.395423, -24.939007], [152.392983, -24.939907], [152.391589, -24.937037]]]}}, {'type': 'Feature', 'properties': {'style': {'stroke': True, 'color': '#3388ff', 'weight': 4, 'opacity': 0.5, 'fill': True, 'fillColor': None, 'fillOpacity': 0, 'clickable': True}, 'datasetID': 1}, 'geometry': {'type': 'Polygon', 'coordinates': [[[152.395504, -24.933097], [152.390328, -24.932343], [152.39065, -24.932951], [152.39014, -24.933267], [152.390757, -24.934726], [152.391991, -24.934994], [152.391749, -24.935943], [152.396121, -24.934313], [152.395504, -24.933097]]]}}]\n"
     ]
    }
   ],
   "source": [
    "print (geoJSONs) # This is the shape drawn in GeoJSON IDs corresponding to the compiled table."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fractional Cover Line Plot App\n",
    "\n",
    "This app will load fractional cover data for the region selected on the select case study region app, and enables users to view land cover on a stack plot. A stacked graph is useful for looking at changes in landcover added up over time, across all four components the graph creates a richer picture of (the sum of) changes.\n",
    "\n",
    "The app will mask out any landsat cells in which water was detected and include that in the landcover summary.\n",
    "\n",
    "Please use the draw point tool to select a single pixel, this tool will compile fractional cover information in a table and display a seperate stack plot per point.\n",
    "\n",
    "Please use the draw polygon tool to select a region, this tool will compile fractional cover information in a table and display a seperate stack plot per polygon.\n",
    "\n",
    "-  The line plot y-axis shows area.\n",
    "-  The table shows total area per landcover.\n",
    "\n",
    "Each interogation will be compiled into the same table but displayed on different graphs.\n",
    "\n",
    "### This app also retrieves data from the public facing DEA before it loads. Do wait!!\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/IPython/core/magics/pylab.py:160: UserWarning: pylab import has clobbered these variables: ['Circle', 'Rectangle', 'info', 'Polygon', 'f']\n",
      "`%matplotlib` prevents importing * from pylab and numpy\n",
      "  \"\\n`%matplotlib` prevents importing * from pylab and numpy\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loaded FC\n",
      "loaded WOFL\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "70662cd6b872465ab9cc34a87ad48237",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(Map(basemap={'url': 'http://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServe…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "103125 103053.80126053095\n"
     ]
    },
    {
     "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",
       "        fig.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 overridden (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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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=\"999.999985098839\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "70000 69797.75030726194\n"
     ]
    },
    {
     "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",
       "        fig.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 overridden (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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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=\"999.999985098839\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fractional_cover_stack_plot_app"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}