Loading and interpolating Climex CDF file

Loading and interpolating Climex CDF.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Trying to figure out Anna's Climex netcdf file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# boilerplate includes\n",
    "import sys\n",
    "import os\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib as mpl\n",
    "#mpl.use('nbagg')\n",
    "import matplotlib.pyplot as plt\n",
    "#from mpl_toolkits.mplot3d import Axes3D\n",
    "\n",
    "#import mpld3 # for outputting interactive html figures\n",
    "\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "import netCDF4\n",
    "from mpl_toolkits.basemap import Basemap\n",
    "import scipy.interpolate\n",
    "\n",
    "from IPython.display import display, HTML\n",
    "%matplotlib notebook\n",
    "plt.style.use('seaborn-notebook')\n",
    "\n",
    "pd.set_option('display.max_columns', None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "CLIMEX_CDF = \"./ResultsSO_month.nc\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## load the file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "nc = netCDF4.Dataset(CLIMEX_CDF)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is in that file..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<class 'netCDF4._netCDF4.Dataset'>\n",
       "root group (NETCDF4 data model, file format HDF5):\n",
       "    history: Created by Dymex 4\n",
       "    dimensions(sizes): Step(4), Latitude(233), Longitude(703)\n",
       "    variables(dimensions): float64 \u001b[4mStep\u001b[0m(Step), float64 \u001b[4mLatitude\u001b[0m(Latitude), float64 \u001b[4mLongitude\u001b[0m(Longitude), float64 \u001b[4mDays since Start\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mDay of Year\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mSimulation Date\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mMinimum Temperature (Current)\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mMaximum Temperature (Current)\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mRainfall (Current)\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mVapour Pressure\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mDaylength\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4m9am RH\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4m3pm RH\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mDewpoint Hours\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mDD below DP\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mMinimum Temperature\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mMaximum Temperature\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mRainfall\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mAverage Temperature\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mIrrigation\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mTotal Precipitation\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mDaily Temperature\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mEvaporation\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mSoil Moisture\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mCropping Flag\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mCold Stress\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mHot Stress\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mDry Stress\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mWet Stress\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mCold Stress (accumulated)\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mHot Stress (accumulated)\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mDry Stress (accumulated)\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mWet Stress (accumulated)\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mMoisture Index\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mTemperature Index\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mDay Degrees\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mWeekly Growth Index\u001b[0m(Step,Latitude,Longitude), float64 \u001b[4mEcoclimatic Index\u001b[0m(Step,Latitude,Longitude)\n",
       "    groups: "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<class 'netCDF4._netCDF4.Variable'>\n",
       "float64 Weekly Growth Index(Step, Latitude, Longitude)\n",
       "unlimited dimensions: Latitude, Longitude\n",
       "current shape = (4, 233, 703)\n",
       "filling off"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nc['Weekly Growth Index']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<class 'netCDF4._netCDF4.Variable'>\n",
       "float64 Latitude(Latitude)\n",
       "    units: degrees_north\n",
       "unlimited dimensions: Latitude\n",
       "current shape = (233,)\n",
       "filling on, default _FillValue of 9.969209968386869e+36 used"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nc['Latitude']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Take a single step and make it into a dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "step = 3\n",
    "\n",
    "# make a simple table (dataframe) of growth index by lat and lon\n",
    "df = pd.DataFrame(data=nc['Weekly Growth Index'][step,:,:],\n",
    "                  index=nc['Latitude'][:],\n",
    "                  columns=nc['Longitude'][:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# sort by both rows and columns ... columns are longitudes, rows are latitudes\n",
    "df.sort_index(axis='columns', inplace=True)\n",
    "df.sort_index(axis='rows', inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plot the raw data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
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       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7fc1c2689e80>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# setup figure\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "my_cmap = mpl.cm.get_cmap('viridis')\n",
    "\n",
    "x, y = np.meshgrid(df.columns, df.index)\n",
    "z = df.values\n",
    "\n",
    "mesh = ax.pcolormesh(x,y, z, cmap=my_cmap, vmin=0, vmax=1)\n",
    "fig.colorbar(mesh)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A fancier and more proper map plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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AQIECBAgQIAAAQIECBAICDhAAiOpSIAAAQIECBAgQIAAAQIECBAgQIAAAQIECHwCDpDPS5oAAQIECBAgQIAAAQIECBAgQIAAAQIECBAICDhAAiOpSIAAAQIECBAgQIAAAQIECBAgQIAAAQIECHwCA56k4QeOux4jAAAAAElFTkSuQmCC\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/travc/anaconda3/lib/python3.5/site-packages/mpl_toolkits/basemap/__init__.py:3413: MatplotlibDeprecationWarning: The ishold function was deprecated in version 2.0.\n",
      "  b = ax.ishold()\n",
      "/home/travc/anaconda3/lib/python3.5/site-packages/mpl_toolkits/basemap/__init__.py:3422: MatplotlibDeprecationWarning: axes.hold is deprecated.\n",
      "    See the API Changes document (http://matplotlib.org/api/api_changes.html)\n",
      "    for more details.\n",
      "  ax.hold(b)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7fc1c25c46a0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "\n",
    "# make the Basemap object which handles all the projection stuff for us\n",
    "m = Basemap(width=10000000,height=5000000,\n",
    "            resolution='i',projection='aea',\n",
    "            lon_0=-120,lat_0=35)\n",
    "\n",
    "# What extra stuff to show\n",
    "m.drawcoastlines(zorder=3) # zorder controls 'on top' vs 'below' other stuff\n",
    "#m.shadedrelief()\n",
    "#m.etopo()\n",
    "#m.drawstates()\n",
    "#m.drawcountries()\n",
    "#m.fillcontinents('lightgray')\n",
    "\n",
    "# make the grid\n",
    "lons, lats = np.meshgrid(df.columns, df.index)\n",
    "#x, y = m(lons-0.25, lats-0.25) # actually project (@TCC offset for the size of the pixel)\n",
    "x, y = m(lons, lats) # actually project\n",
    "\n",
    "z = df.values.copy() # if we're going to change the values, we might want to copy first\n",
    "#z[z<=1e-300] = np.nan # could remove values very close to 0\n",
    "#z[z>=1-1e-300] = np.nan # or remove values very close to 1\n",
    "\n",
    "mesh = m.pcolormesh(x,y, z, cmap=mpl.cm.get_cmap('viridis'), vmin=0, vmax=1, zorder=2)\n",
    "#mesh = m.contour(x,y,z, cmap=my_cmap, levels=np.linspace(0,1,31))\n",
    "\n",
    "fig.colorbar(mesh)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Interpolation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 3.4 s, sys: 0 ns, total: 3.4 s\n",
      "Wall time: 3.4 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "# The original data grid \n",
    "x, y = np.meshgrid(df.columns, df.index)\n",
    "# and values\n",
    "z = df.values.copy() # copy probably not needed, but good for interactive work (in case we rerun without reloading the data)\n",
    "\n",
    "# any cleanup required?\n",
    "#z[np.isnan(z)] = 0\n",
    "\n",
    "# Make a new finer-scale grid\n",
    "x_spacing = 0.1\n",
    "y_spacing = 0.1\n",
    "gx, gy = np.mgrid[-180:180:x_spacing, -90:90:y_spacing]\n",
    "\n",
    "# A bit of magic to convert the x and y lists into a list of (x,y) point values\n",
    "pts = np.vstack((x.flatten(), y.flatten())).T\n",
    "\n",
    "# actually interpolate\n",
    "gz = scipy.interpolate.griddata(pts, z.flatten(), (gx, gy), method='linear')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fc1c2434278>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# simple plot...\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "ax.pcolormesh(gx, gy, gz, vmin=0, vmax=1, cmap=mpl.cm.get_cmap('viridis'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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