07_PDE_Sol.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 7. Partial Differential Equations: Exercise Solutions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "from scipy.integrate import odeint"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Diffusion Equation\n",
    "For the diffusion equation with Dirichlet boundary condition, take initial states with different spatial frequencyes, such as \n",
    "$$ y(x, 0) = \\sin(\\frac{nx}{L}\\pi ) $$\n",
    "with different $n$, and see how quickly they decay in time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def diff1D(y, t, x, D, inp=None):\n",
    "    \"\"\"1D Diffusion equaiton with constant boundary condition\n",
    "    y: state vector\n",
    "    t: time\n",
    "    x: positions\n",
    "    D: diffusion coefficient\n",
    "    input: function(y,x,t)\"\"\"\n",
    "    dx = x[1] - x[0]  # space step\n",
    "    # shift to left and right and subtract\n",
    "    d2ydx2 = (y[:-2] -2*y[1:-1] + y[2:])/dx**2\n",
    "    # add 0 to both ends for Dirichlet boundary condition\n",
    "    d2ydx2 = np.hstack((0, d2ydx2, 0))\n",
    "    if inp == None:\n",
    "        return D*d2ydx2\n",
    "    else:\n",
    "        return D*d2ydx2 + inp(y, x, t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "Lx = 5   # length\n",
    "N = 50\n",
    "x = np.linspace(0, Lx, N+1)\n",
    "D = 0.1  # diffusion constant\n",
    "ts = 10\n",
    "dt = 0.1\n",
    "t = np.arange(0, ts, dt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "n = 1  # frequency\n",
    "y0 = np.sin(n*np.pi*x/Lx)  # initial condition\n",
    "y = odeint(diff1D, y0, t, (x, D))\n",
    "p = plt.plot(x, y.T)\n",
    "plt.xlabel(\"x\"); plt.ylabel(\"y\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "n = 3  # frequency\n",
    "y0 = np.sin(n*np.pi*x/Lx)  # initial condition\n",
    "y = odeint(diff1D, y0, t, (x, D))\n",
    "p = plt.plot(x, y.T)\n",
    "plt.xlabel(\"x\"); plt.ylabel(\"y\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Wave Equation\n",
    "\n",
    "While the wave equation with Dirichlet boundary condition simulates oscillation of a string, that with Neumann condition \n",
    "$$ \\left.\\frac{\\partial y(x,t)}{\\partial x}\\right|_{x_0}=\\left.\\frac{\\partial y(x,t)}{\\partial x}\\right|_{x_N}=0 $$\n",
    "can simulate water wave.\n",
    "\n",
    "1) Implement a wave equation with a decay term\n",
    "$$ \\frac{\\partial^2 u}{\\partial t^2} = c^2 \\frac{\\partial^2 u}{\\partial x^2} - d \\frac{\\partial u}{\\partial t} $$\n",
    "with the Neumann boundary conditions and see how the wave ripples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def wave1N(y, t, x, c, d, inp=0.):\n",
    "    \"\"\"1D wave equaiton with constant boundary\n",
    "    y: state vector hstack(u, v)\n",
    "    t: time\n",
    "    x: positions\n",
    "    c: wave speed\n",
    "    input: function(y,x,t)\"\"\"\n",
    "    n = int(len(y)/2)\n",
    "    u, v = y[:n], y[n:]\n",
    "    dx = x[1] - x[0]\n",
    "    # Neuman boundary conditions\n",
    "    d2udx2 = (np.r_[u[1],u[:-1]] -2*u + np.r_[u[1:],u[-2]])/dx**2\n",
    "    dvdt = c**2*d2udx2 - d*v + (inp(y,x,t) if callable(inp) else inp)\n",
    "    return np.r_[v, dvdt]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "2) See how the waves vary with the initial condition or stimulum."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pulse(y, x, t, xp=[0,1], tp=[0,1]):\n",
    "    \"\"\"1 for 0<x<1 at 0<t<1\"\"\"\n",
    "    return (xp[0]<x)*(x<xp[1])*(tp[0]<t)*(t<tp[1])*1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Lx = 10\n",
    "N = 50\n",
    "x = np.linspace(0, Lx, N+1)\n",
    "y0 = np.zeros(2*(N+1))  # initial condition\n",
    "#y0[10:20] = 0.1 # a peak\n",
    "c = 1.  # wave speed\n",
    "d = 0.2  # damping\n",
    "ts = 50\n",
    "dt = 0.2\n",
    "t = np.arange(0, ts, dt)\n",
    "y = odeint(wave1N, y0, t, (x, c, d, pulse))\n",
    "plt.plot(x, y[:,:N+1].T)\n",
    "plt.xlabel(\"x\"); plt.ylabel(\"u\"); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\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(\n",
       "            '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",
       "\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 = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(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 (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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 = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\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 toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "    fig.rubberband_canvas.style.cursor = msg['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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       " * https://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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\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",
       "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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"576\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8, 8))\n",
    "ax = fig.add_subplot(projection='3d')\n",
    "T, X = np.meshgrid(t, x)\n",
    "ax.plot_surface(T, X, y[:,:N+1].T, cmap='viridis')\n",
    "plt.xlabel(\"t\"); plt.ylabel(\"x\"); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import animation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\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(\n",
       "            '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",
       "\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 = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(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 (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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 = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\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 toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "    fig.rubberband_canvas.style.cursor = msg['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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       " * https://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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\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",
       "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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"432\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "frames = []  # prepare frame\n",
    "for i, ti in enumerate(t):\n",
    "    p = plt.plot(x, y[i,:N+1])\n",
    "    plt.xlabel(\"x\"); plt.ylabel(\"y\");\n",
    "    frames.append(p)    \n",
    "anim = animation.ArtistAnimation(fig, frames, interval = 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Optional: Wave equation in 2D\n",
    "Try simulating waves in a 2D space with a cyclic boundary condition."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def wave2C(y, t, x, c, d, inp=0):\n",
    "    \"\"\"2D Wave equaiton with Cyclic boundary condition\n",
    "    y: 2*n*n dim state vector hstack(u, v)\n",
    "    t: time\n",
    "    x: positions (x0, x1): transposed meshgrid\n",
    "    D: diffusion coefficient\n",
    "    inp: function(y,x,t) or number\"\"\"\n",
    "    n = x.shape[:2]  # grid size (n0, n1)\n",
    "    nn = n[0]*n[1]  # grid points n0*n1\n",
    "    u = y[:nn].reshape(n)  # 2D grid\n",
    "    v = y[nn:].reshape(n)\n",
    "    dx = [x[1,0,0]-x[0,0,0], x[0,1,1]-x[0,0,1]]  # space step\n",
    "    # Laplacian with Cyclic boundary\n",
    "    Lu = (np.roll(u,-1,0) + np.roll(u,1,0) + np.roll(u,-1,1) + np.roll(u,1,1) - 4*u)/dx[0]**2\n",
    "    dvdt = c**2*Lu - d*v + (inp(y,x,t) if callable(inp) else inp)\n",
    "    return np.r_[v, dvdt].ravel()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "L = 10\n",
    "N = 20\n",
    "X = np.meshgrid(np.linspace(0,L,N), np.linspace(0,L,N))\n",
    "x = np.array(X).transpose(2,1,0)  # (x0,x1) in last dimention\n",
    "y0 = np.zeros((2,N,N))  # initial condition\n",
    "y0[0,2:4,5:8] = 1  # \n",
    "c = 0.2  # wave speed\n",
    "d = 0.1  # damping\n",
    "ts = 100\n",
    "dt = 0.2\n",
    "t = np.arange(0, ts, dt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = odeint(wave2C, y0.ravel(), t, (x, c, d))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\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(\n",
       "            '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",
       "\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 = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(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 (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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 = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\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 toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "    fig.rubberband_canvas.style.cursor = msg['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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       " * https://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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\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",
       "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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"576\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8,3))\n",
    "for i in range(10):\n",
    "    plt.subplot(2, 5, i+1)\n",
    "    plt.imshow(y[10*i,:N*N].reshape(N,N).T, vmin=-0.2, vmax=1);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\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(\n",
       "            '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",
       "\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 = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(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 (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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 = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\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 toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "    fig.rubberband_canvas.style.cursor = msg['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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       " * https://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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\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",
       "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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\" width=\"432\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/doya/opt/anaconda3/lib/python3.9/site-packages/matplotlib/animation.py:889: UserWarning: Animation was deleted without rendering anything. This is most likely not intended. To prevent deletion, assign the Animation to a variable, e.g. `anim`, that exists until you have outputted the Animation using `plt.show()` or `anim.save()`.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "frames = []  # prepare frame\n",
    "for i, ti in enumerate(t):\n",
    "    p = plt.imshow(y[i,:N*N].reshape(N,N).T, vmin=-0.2, vmax=1)\n",
    "    frames.append([p])    \n",
    "anim = animation.ArtistAnimation(fig, frames, interval = 10)\n",
    "plt.xlabel(\"x1\"); plt.ylabel(\"x2\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\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(\n",
       "            '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",
       "\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 = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(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 (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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 = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\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 toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "    fig.rubberband_canvas.style.cursor = msg['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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       " * https://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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\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",
       "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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"432\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(6,6))\n",
    "ax = fig.add_subplot(projection='3d')\n",
    "frames = []  # prepare frame\n",
    "for i, ti in enumerate(t):\n",
    "    p = ax.plot_surface(X[0], X[1], y[i,:N*N].reshape(N,N).T, cmap='viridis')\n",
    "    frames.append([p])    \n",
    "anim = animation.ArtistAnimation(fig, frames, interval = 10)\n",
    "plt.xlabel(\"x1\"); plt.ylabel(\"x2\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}