Reprojection - Mosaic EUVI.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.simplefilter(\"ignore\")\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import astropy.units as u\n",
    "from astropy.coordinates import SkyCoord\n",
    "from astropy.wcs import WCS\n",
    "from astropy.constants import R_earth\n",
    "\n",
    "import sunpy.map\n",
    "import sunpy.sun\n",
    "from sunpy.coordinates import get_body_heliographic_stonyhurst\n",
    "from sunpy.net import Fido, attrs as a\n",
    "\n",
    "from reproject import reproject_interp, reproject_adaptive\n",
    "from reproject.mosaicking import reproject_and_coadd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Creating a Full Sun Map with AIA and EUVI\n",
    "\n",
    "In this example we will combine three EUV images, one from AIA and one from each of EUVI_A and EUVI_B into a full latitude / longitude map of the Sun.\n",
    "\n",
    "*At the time of writing this requires experimental versions of both SunPy and reproject.*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To get started let's download the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b2223b3d14ec478b82ffcc1fb763e71e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, description='Files Downloaded', max=3, style=ProgressStyle(description_wid…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "stereo = (a.Instrument('EUVI') &\n",
    "          a.Time('2011-11-01', '2011-11-01T00:10:00'))\n",
    "\n",
    "aia = (a.Instrument('AIA') &\n",
    "       a.vso.Sample(24 * u.hour) &\n",
    "       a.Time('2011-11-01', '2011-11-02'))\n",
    "\n",
    "wave = a.Wavelength(19.5 * u.nm, 19.5 * u.nm)\n",
    "\n",
    "res = Fido.search(wave, aia | stereo)\n",
    "\n",
    "files = Fido.fetch(res)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we create a SunPy map for each of the files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "maps = sunpy.map.Map(sorted(files))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When combining these images all three need to assume the same radius of the Sun for the data. The AIA images specify a slightly different value that the IAU 2015 constant. To avoid coordinate transformation issues we reset this here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "maps[0].meta['rsun_ref'] = sunpy.sun.constants.radius.to_value(u.m)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we will plot the locations of the three spacecraft with respect to the Sun so we can easily see the relative separations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "earth = get_body_heliographic_stonyhurst('earth', maps[0].date)\n",
    "\n",
    "plt.figure(figsize=(8,8))\n",
    "r_unit = u.AU\n",
    "\n",
    "ax = plt.subplot(projection='polar')\n",
    "circle = plt.Circle((0.0, 0.0), (10*u.Rsun).to_value(r_unit),\n",
    "                    transform=ax.transProjectionAffine + ax.transAxes, color=\"yellow\",\n",
    "                    alpha=1, label=\"Sun\")\n",
    "ax.add_artist(circle)\n",
    "ax.text(earth.lon.to_value(\"rad\")+0.05, earth.radius.to_value(r_unit), \"Earth\")\n",
    "\n",
    "for this_satellite, this_coord in [(m.observatory, m.observer_coordinate) for m in maps]:\n",
    "    plt.polar(this_coord.lon.to('rad'), this_coord.radius.to(r_unit), 'o', label=this_satellite)\n",
    "    \n",
    "ax.set_theta_zero_location(\"S\")\n",
    "ax.set_rlim(0, 1.3)\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The next step is to calculate the output coordinate system for the combined map. We select a heliographic Stonyhurst frame, and a Plate Caree projection, and generate a header using `sunpy.map.make_fitswcs_header` and then construct a WCS object for that header."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "shape_out = [720, 1440]\n",
    "header = sunpy.map.make_fitswcs_header(np.empty(shape_out),\n",
    "                                       SkyCoord(0, 0, unit=u.deg,\n",
    "                                                frame=\"heliographic_stonyhurst\",\n",
    "                                                obstime=maps[0].date),\n",
    "                                       scale=[0.25,0.25]*u.deg/u.pix,\n",
    "                                       projection_code=\"CAR\")\n",
    "\n",
    "out_wcs = WCS(header)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we call the `reproject_and_coadd` function, which takes a list of `(data, wcs)` pairs, which we extract from our maps, and the output WCS and shape."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MetaDict([('wcsaxes', 2),\n",
       "          ('crpix1', 720.5),\n",
       "          ('crpix2', 360.5),\n",
       "          ('cdelt1', 0.25),\n",
       "          ('cdelt2', 0.25),\n",
       "          ('cunit1', 'deg'),\n",
       "          ('cunit2', 'deg'),\n",
       "          ('ctype1', 'HGLN-CAR'),\n",
       "          ('ctype2', 'HGLT-CAR'),\n",
       "          ('crval1', 0.0),\n",
       "          ('crval2', 0.0),\n",
       "          ('lonpole', 0.0),\n",
       "          ('latpole', 90.0),\n",
       "          ('date-obs', '2011-11-01T00:00:07.840')])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "header"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "input_data = tuple((a.data, a.wcs) for a in maps)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "array, footprint = reproject_and_coadd(input_data, out_wcs, shape_out,\n",
    "                                       reproject_function=reproject_adaptive)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To display the output we construct a new map using the new array and our generated header. We also borrow the plot settings from the AIA map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "outmap = sunpy.map.Map((array, header))\n",
    "outmap.plot_settings = maps[0].plot_settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "outmap.peek()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Improving the Output\n",
    "\n",
    "As you can see this leaves a little to be desired. To reduce the obvious warping towards the points which are close to the limb in the input images, we can define a set of weights to use when coadding the output arrays. To reduce this warping we want to calculate an set of weights which weights highly points close to the centre of the disk in the input image.\n",
    "\n",
    "We can achieve this by using SunPy's coordinate framework. First we calculate all the world coordinates for all the pixels in all three input maps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "coordinates = tuple(map(sunpy.map.all_coordinates_from_map, maps))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To get a weighting which is high close to disk centre and low towards the limb, we can use the Z coordinate in the heliocentric frame. This coordinate is the distance of the sphere from the centre of the Sun towards the observer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "weights = [coord.transform_to(\"heliocentric\").z.value for coord in coordinates]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These weights are good, but they are better if the ramp down is a little smoother, and more biased to the centre. Also we can scale them to the range 0-1, and set any off disk (NaN) regions to 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7efba3667e90>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.imshow(weights[0])\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "weights = [(w / np.nanmax(w)) ** 3 for w in weights]\n",
    "for w in weights:\n",
    "    w[np.isnan(w)] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7efba283f590>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.imshow(weights[0])\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can rerun the reprojection. This time we also set `match_background=True` which scales the images by a single scaling factor so they are of similar brightness. We also set `background_reference=0` which uses the AIA map as the reference for the background scaling."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "array, footprint = reproject_and_coadd(input_data, out_wcs, shape_out,\n",
    "                                       input_weights=weights,\n",
    "                                       reproject_function=reproject_adaptive,\n",
    "                                       match_background=True,\n",
    "                                       background_reference=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once again we create a new map, and this time we customise the plot a little."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "outmap = sunpy.map.Map((array, header))\n",
    "outmap.plot_settings = maps[0].plot_settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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