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    "# 3D stem and word scatter"
   ]
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  {
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   "execution_count": 1,
   "metadata": {},
   "outputs": [
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       "        "
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     "output_type": "display_data"
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   "source": [
    "%matplotlib notebook\n",
    "from stemgraphic.alpha import word_scatter, stem_scatter\n",
    "from stemgraphic.stopwords import EN\n",
    "import cufflinks as cf\n",
    "cf.go_offline()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In [stem and word scatter](stem_and_word_scatter.ipynb), we covered the basics when comparing 2 different sources. But scatter will also take a 3rd source as argument. In that case, it will display the data in a 3d view. We will reuse our two stories from before and add a 3rd one:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "src1 = '../datasets/The Red Headed League by Arthur Conan Doyle.txt'\n",
    "src2 = '../datasets/A Case of Identity by Arthur Conan Doyle.txt'\n",
    "src3 = '../datasets/The Final Problem by Arthur Conan Doyle.txt'"
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Given how 3d scatter plots provide the most information in an interactive form, where one can zoom in, rotate, look at the data from different angles, we'll go straight into that mode:"
   ]
  },
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   "cell_type": "code",
   "execution_count": 3,
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    "These are raw counts, stop_words not removed, and the data is not normalized. Typically, with stem-and-leaf, building ngrams, we probably want to normalize the data so that counts for source 2 and 3 are adjusted up or down based on their size in comparison to source 1. As to leaf count, we'll go with 2, no stem or leaf skip, so we are looking at standard trigrams at the beginning of words:"
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   "source": [
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   "source": [
    "And we probably want a percentage value instead of a direct count. We will also use whole percentages (double click on x, y or z in the legend to see the data that is more common in that document, or = to see where all 3 sources have the same count):"
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  },
  {
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       "                        {\"showLink\": true, \"linkText\": \"Export to plot.ly\", \"plotlyServerURL\": \"https://plot.ly\", \"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('1f9c5942-caf4-4be5-a870-5800aff9c70c');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })\n",
       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "stem_scatter(src1, src2, src3, leaf_order=2, normalize=True, percentage=True, whole=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "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",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/fdion/DionResearch/stemgraphic/stemgraphic/alpha.py:1361: UserWarning:\n",
      "\n",
      "Log_scale is not working currently due to an issue in matplotlib\n",
      "\n"
     ]
    }
   ],
   "source": [
    "ax, df = stem_scatter(src1, src2, src3, percentage=True, normalize=True, interactive=False, project=True, project_only=False);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Switching to words. In interactive mode, it is possible to have labels with two or three sources:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": true
       },
       "data": [
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          "line": {
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[{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"font\": {\"color\": \"#4D5663\"}, \"text\": \"../datasets/The Red Headed League by Arthur Conan Doyle.txt vs<br>normalized ../datasets/A Case of Identity by Arthur Conan Doyle.txt vs ../datasets/The Final Problem by Arthur Conan Doyle.txt\"}},\n",
       "                        {\"showLink\": true, \"linkText\": \"Export to plot.ly\", \"plotlyServerURL\": \"https://plot.ly\", \"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('39d34fc8-851a-40c7-8a81-eea1bd9458d9');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })\n",
       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax, df = word_scatter(src1, src2, src3, percentage=True, normalize=True, label=True, stop_words=EN);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In non interactive mode (meaning, not using cufflinks - using _%matplotlib notebook_ does provide rotation and translation, whereas _%matplotlib inline_ will be static), labels are only available with 2 sources and linear scale at this time (due to a matplotlib issue)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "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",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"999.1666368891804\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/fdion/DionResearch/stemgraphic/stemgraphic/alpha.py:1371: UserWarning:\n",
      "\n",
      "Labels do not currently work in log scale due to an incompatibility in matplotlib. Set log_scale=False to display text labels.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "ax, df = word_scatter(src1, src2, src3, alpha=0.7, fig_xy=(10,10),\n",
    "                      interactive=False, percentage=True, normalize=True, label=True, stop_words=EN);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "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",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"999.1666368891804\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax, df = word_scatter(src1, src2, fig_xy=(10,10), interactive=False, jitter=True, percentage=True, normalize=True, \n",
    "                      label=True, log_scale=False, stop_words=EN);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:stem] *",
   "language": "python",
   "name": "conda-env-stem-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}