Matplotlib_3D.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from mpl_toolkits.mplot3d import axes3d\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "iris = pd.read_csv('iris.csv')\n",
    "\n",
    "plt.figure()\n",
    "\n",
    "for species, irissubset in iris.groupby('Name'):\n",
    "    plt.scatter(irissubset['PetalLength'], irissubset['PetalWidth'], alpha=0.8, label=species)\n",
    "\n",
    "plt.xlabel('PetalLength')\n",
    "plt.ylabel('PetalWidth')\n",
    "plt.legend();\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SepalLength</th>\n",
       "      <th>SepalWidth</th>\n",
       "      <th>PetalLength</th>\n",
       "      <th>PetalWidth</th>\n",
       "      <th>Name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   SepalLength  SepalWidth  PetalLength  PetalWidth         Name\n",
       "0          5.1         3.5          1.4         0.2  Iris-setosa\n",
       "1          4.9         3.0          1.4         0.2  Iris-setosa\n",
       "2          4.7         3.2          1.3         0.2  Iris-setosa\n",
       "3          4.6         3.1          1.5         0.2  Iris-setosa\n",
       "4          5.0         3.6          1.4         0.2  Iris-setosa"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "\n",
    "for species, irissubset in iris.groupby('Name'):\n",
    "    ax.scatter(irissubset['SepalLength'], irissubset['PetalLength'], irissubset['PetalWidth'], label=species)\n",
    "\n",
    "ax.set_xlabel('Sepal Length')\n",
    "ax.set_ylabel('Petal Length')\n",
    "ax.set_zlabel('Petal Width')\n",
    "ax.legend(loc=2)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x, y, z = axes3d.get_test_data(0.1)\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "ax.plot_wireframe(x, y, z)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "ax.plot_surface(x, y, z, cmap = 'viridis')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "ax.plot_surface(x, y, z, cmap = 'viridis')\n",
    "\n",
    "for angle in range(-90, 270):\n",
    "    ax.view_init(90, angle)\n",
    "    plt.draw()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111)\n",
    "x, y, z = axes3d.get_test_data(0.1)\n",
    "ax.contourf(x, y, z, 100)\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "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": "3.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}