Population Estimation Demonstration.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Accessing the Population Estimation Service\n",
    "The POPGRID population estimation service has a REST endpoint that accepts requests with polygon geometries and returns population estimates within those geometries. The endpoint can be accessed using Esri's Python module (arcpy), or with just built-in Python modules. The code below does not require arcpy or any additional modules, just Python 3. \n",
    "\n",
    "The endpoint is self-describing, see: https://sedac.ciesin.columbia.edu/arcgis/rest/services/ciesin/popgrid_tools/GPServer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [],
   "source": [
    "# imports\n",
    "import json\n",
    "import requests\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['type', 'name', 'crs', 'features'])"
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read in json file\n",
    "with open('./col_subset.geojson', 'r') as f:\n",
    "    data = json.load(f)\n",
    "data.keys()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Request COL-ADM2-3_0_0-B307 successful\n",
      "Request COL-ADM2-3_0_0-B316 successful\n",
      "Request COL-ADM2-3_0_0-B319 successful\n",
      "Request COL-ADM2-3_0_0-B324 successful\n",
      "Request COL-ADM2-3_0_0-B329 successful\n",
      "Request COL-ADM2-3_0_0-B344 successful\n",
      "Request COL-ADM2-3_0_0-B352 successful\n",
      "Request COL-ADM2-3_0_0-B353 successful\n",
      "Request COL-ADM2-3_0_0-B355 successful\n",
      "Request COL-ADM2-3_0_0-B358 successful\n",
      "Request COL-ADM2-3_0_0-B359 successful\n",
      "Request COL-ADM2-3_0_0-B361 successful\n",
      "Request COL-ADM2-3_0_0-B365 successful\n",
      "Request COL-ADM2-3_0_0-B372 successful\n",
      "Request COL-ADM2-3_0_0-B380 successful\n",
      "Request COL-ADM2-3_0_0-B534 successful\n",
      "Request COL-ADM2-3_0_0-B539 successful\n",
      "Request COL-ADM2-3_0_0-B543 successful\n",
      "Request COL-ADM2-3_0_0-B544 successful\n",
      "Request COL-ADM2-3_0_0-B548 successful\n",
      "Request COL-ADM2-3_0_0-B549 successful\n",
      "Request COL-ADM2-3_0_0-B562 successful\n",
      "Request COL-ADM2-3_0_0-B564 successful\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# dictionary for results\n",
    "stats_results = {}\n",
    "\n",
    "# build request for each polygon and append it to the results\n",
    "for feature in data['features']:\n",
    "    # shape ID\n",
    "    id = f'{feature[\"properties\"][\"shapeID\"]}'\n",
    "    # geometry and parameters\n",
    "    input_data = {\n",
    "        'polygon': feature['geometry']['coordinates'][0],\n",
    "        'variables': 'landscan-population-count_2015_1km',\n",
    "        'statistics': ['SUM','MEAN'], \n",
    "        'requestID': id\n",
    "    }\n",
    "    # request parameters\n",
    "    request_params = {\n",
    "        'Input_Data': str(input_data),\n",
    "        'f': 'pjson',\n",
    "        \n",
    "    }\n",
    "\n",
    "    url = 'https://sedac.ciesin.columbia.edu/arcgis/rest/services/ciesin/popgrid_tools/GPServer/popgrid_estimation/execute?'\n",
    "\n",
    "    # post the request\n",
    "    r = requests.post(\n",
    "        url,\n",
    "        params=request_params,\n",
    "    )\n",
    "\n",
    "    # parse the reeu\n",
    "    if str(r) == '<Response [200]>':\n",
    "        stats_results[id] = r.json()\n",
    "        print(f'Request {id} successful')\n",
    "    else:\n",
    "        print('Error')\n",
    "        print(r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'results': [{'paramName': 'Response',\n",
       "   'dataType': 'GPString',\n",
       "   'value': {'estimates': {'landscan-population-count_2015_1km': {'SUM': '13792',\n",
       "      'SHORTTITLE': 'LandScan Population Count 2015',\n",
       "      'UNIT': 'persons',\n",
       "      'MEAN': '265.230769231'}},\n",
       "    'resultCode': 0,\n",
       "    'message': 'Request Succeeded',\n",
       "    'requestID': 'COL-ADM2-3_0_0-B307'}}],\n",
       " 'messages': []}"
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# example result\n",
    "stats_results['COL-ADM2-3_0_0-B307']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "23"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "totals = []\n",
    "for stats in stats_results.values():\n",
    "    totals.append(float(stats['results'][0]['value']['estimates']['landscan-population-count_2015_1km']['SUM']))\n",
    "len(totals)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [
    {
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       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
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       "    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",
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       "            return fig.mouse_event(event, event['data']);\n",
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       "\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",
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       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
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       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
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       "\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",
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       "        icon_img.addClass(image);\n",
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       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
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       "\n",
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       "\n",
       "\n",
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       "    var size = msg['size'];\n",
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       "    y1 = Math.floor(y1) + 0.5;\n",
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       "    var min_y = Math.min(y0, y1);\n",
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       "\n",
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       "        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",
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       "        cursor = 'pointer';\n",
       "        break;\n",
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       "        cursor = 'default';\n",
       "        break;\n",
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       "        break;\n",
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       "        break;\n",
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       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plt.hist(totals)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "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\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"663\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.bar(stats_results.keys(), totals)\n",
    "_ = plt.xticks(list(stats_results.keys()), rotation=90)\n",
    "_ = plt.subplots_adjust(bottom=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}