{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Source : \n",
    "\n",
    "gits https://gist.github.com/Juanlu001/10305c7730a5b17f6148\n",
    "original post https://jasmcole.com/2014/08/25/helmhurts/\n",
    "\n",
    "\n",
    "Other cool stuff:\n",
    "https://fenicsproject.org/qa/6386/helmholtz-equation-with-absorbent-subdomain"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from fenics import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, we will solve this on the unit square. Let's build a mesh."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "nx = ny = 30\n",
    "mesh = RectangleMesh(Point(-1, -1), Point(1, 1), nx, ny)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's define the function space upon which we will build."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "V = FunctionSpace(mesh, 'P', 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our field will be $E$ and also, we'll define a test function.\n",
    "\n",
    "Woah I learned this the hard way:\n",
    "\n",
    "- the unknown is a trial function\n",
    "- the v field is a test function\n",
    "\n",
    "Later, I overwrite E with a function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "u = TrialFunction(V)\n",
    "v = TestFunction(V)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAABcAAAAcCAYAAACK7SRjAAAABHNCSVQICAgIfAhkiAAAAX9JREFU\nSInt1L9LVWEcBvCPGSEpLUE0hEncQUjwSpMIkoOIuyAEQv+AWKNDu0KDm2NuQVspgTQEgogtaYmL\nBhEFNmQmRoVKDu974HC8p+u59w4RPXB4z3l43uf7k8Nfin48wyf8xt2s4Fwd5m3YwAR+1OFTFQca\nnHlV/Bvmk8LUx3O0N/ALr9BU1Hw9nl052mlcwP2YRFWcT72/iefNCro+jOAJliPXhlIqyXaUsYsP\nlYJ9wdcM14RV/ERHir8tVJB95vIqeRkF11LcnchN5V06K2ai0VD8bsF7fMalombZVUz6ngz1Hq7j\nAfYz2mm8KBLslpD5I1zBN7xFcwXtIh4WMW/BkbDLszHQYI52B2NFzGFT2IwjLORorsbAo3iO73iH\ngWrmj+PFQ3TmaIajZkmorISneH3WCv6ESewJFSQYw8e0qNYfVxnzQt8TlLDdKPOVDNeDtXrNLwpZ\nZvt7yrwW9OIYrSnusjDgclpYS+bd2BLWL0GPsF2bNfj9RwNxAvh3UJ3D0p/VAAAAAElFTkSuQmCC\n",
      "text/latex": [
       "${v_h^{1}}$"
      ],
      "text/plain": [
       "Argument(FunctionSpace(Mesh(VectorElement(FiniteElement('Lagrange', triangle, 1), dim=2), 98), FiniteElement('Lagrange', triangle, 1)), 1, None)"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "u"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAABcAAAAcCAYAAACK7SRjAAAABHNCSVQICAgIfAhkiAAAAbNJREFU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\n",
      "text/latex": [
       "${v_h^{0}}$"
      ],
      "text/plain": [
       "Argument(FunctionSpace(Mesh(VectorElement(FiniteElement('Lagrange', triangle, 1), dim=2), 98), FiniteElement('Lagrange', triangle, 1)), 0, None)"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "v"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our boundary conditions will be null values on the boundary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def boundary(x, on_boundary):\n",
    "    \"Function to call for boundary conditions.\"\n",
    "    return on_boundary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "u_D = Expression('0.', degree=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now define a Dirichlet boundary condition that gets applied to the function space V, and evaluates u_D when on the boundary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "bc = DirichletBC(V, u_D, boundary)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's now define the terms used in the equation: the speed of light."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "one_over_c_squared = Constant(100.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, let's write the problem:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "a = Constant(-1) * dot(grad(u), grad(v))*dx + one_over_c_squared*u*v*dx\n",
    "L = v*dx"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Applying a point source:\n",
    "https://fenicsproject.org/qa/2893/point-source-in-rhs-of-heat-eq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "A, b = assemble_system(a, L, bc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And the point source."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "source = Point(0.0, 0.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "delta = PointSource(V, source, 1)\n",
    "delta.apply(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "E = Function(V)\n",
    "solve(A, E.vector(), b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x120d9f9e8>"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "cnt = plot(E, scalarbar=True)\n",
    "plt.colorbar(cnt)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now for some variational stuff:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from ipywidgets import interact"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ArwJPBH6vO7O2n87zPcB7ROQR4DHM+yBvCxaUQ4ZtKSKXzOKoqUpqIDoklFUt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\nG5C58Z4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1226714e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "@interact\n",
    "def plot_helmholtz_solution(one_over_c_squared=(1, 1000)):\n",
    "    \"An interactive plot of the Helmholtz solution.\"\n",
    "    nx = ny = 100\n",
    "    mesh = RectangleMesh(Point(-1, -1), Point(1, 1), nx, ny)\n",
    "    V = FunctionSpace(mesh, 'P', 1)\n",
    "    u = TrialFunction(V)\n",
    "    v = TestFunction(V)\n",
    "    u_D = Expression('0.', degree=2)\n",
    "    def boundary(x, on_boundary):\n",
    "        \"Function to call for boundary conditions.\"\n",
    "        return on_boundary\n",
    "    bc = DirichletBC(V, u_D, boundary)\n",
    "    one_over_c_squared = Constant(one_over_c_squared)\n",
    "    a = Constant(-1) * dot(grad(u), grad(v))*dx + one_over_c_squared*u*v*dx\n",
    "    L = v*dx\n",
    "    A, b = assemble_system(a, L, bc)\n",
    "    source = Point(0.0, 0.0)\n",
    "    delta = PointSource(V, source, 1)\n",
    "    delta.apply(b)\n",
    "    E = Function(V)\n",
    "    solve(A, E.vector(), b)\n",
    "    plt.figure()\n",
    "    cnt = plot(E, scalarbar=True, cmap='hot')\n",
    "    plt.colorbar(cnt)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's animate this shit."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import moviepy.editor"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's define a grid on which we interpolate the solution:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "x = np.linspace(-1, 1)\n",
    "y = np.linspace(-1, 1)\n",
    "X, Y = np.meshgrid(x, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "vals = np.zeros_like(X)\n",
    "for i in range(x.size):\n",
    "    for j in range(y.size):\n",
    "        vals[i, j] = E((X[i, j], Y[i, j]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
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     "output_type": "display_data"
    },
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x127994f98>"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.pcolormesh(x, y, vals)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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VhA0AKwgbAFYQNgCsIGwAWEHYALCCsAFgBWEDwArCBoAVhA0AKwgbAFYQNgCsIGwAWOEo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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x123f43588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from moviepy.video.io.bindings import mplfig_to_npimage\n",
    "\n",
    "fig, ax = plt.subplots(1, figsize=(4, 4), facecolor=(1,1,1))\n",
    "duration = 2.\n",
    "def make_frame(t):\n",
    "    ax.clear()\n",
    "    ax.pcolormesh(x, y, vals * np.sin(2 * np.pi * t / duration), vmin=vals.min(), vmax=vals.max())\n",
    "    return mplfig_to_npimage(fig)\n",
    "animation = moviepy.editor.VideoClip(make_frame, duration=duration)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 95%|█████████▌| 20/21 [00:01<00:00, 12.22it/s]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div align=middle><video 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controls>Sorry, seems like your browser doesn't support HTML5 audio/video</video></div>"
      ],
      "text/plain": [
       "<moviepy.video.io.html_tools.HTML2 object>"
      ]
     },
     "execution_count": 216,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "moviepy.editor.ipython_display(animation, fps=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "[MoviePy] Building file test2.gif with imageio\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 98%|█████████▊| 40/41 [00:04<00:00,  8.94it/s]\n"
     ]
    }
   ],
   "source": [
    "animation.write_gif('test2.gif', fps=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x1262a31d0>"
      ]
     },
     "execution_count": 212,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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zhKjCSvNmRxL8WsciZhu12gWADLGNESsFqECsKMp0RCcbRVECoaTJZmhoCMuX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\nQNDJRlGUQPg/wJrNt3nIzRIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x124a89470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t=0.3\n",
    "fig, ax = plt.subplots(1, figsize=(4, 4), facecolor=(1,1,1))\n",
    "duration = 2.\n",
    "ax.clear()\n",
    "ax.pcolormesh(x, y, vals * np.sin(2 * np.pi * t / duration), vmin=vals.min(), vmax=vals.max())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "vmin=vals.min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  },
  "widgets": {
   "state": {
    "935db5c055bc4c4dbb1b52d87955c071": {
     "views": [
      {
       "cell_index": 30
      }
     ]
    }
   },
   "version": "1.2.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}