elastic_wave_2d_staggered_isotropic_v7.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Codigo para la propagación de onda elástica 2D PSV en un medio heterogeneo mediante el esquema velocidad - esfuerzo y rejilla escalonada\n",
    "En este Notebook se presenta un codigo para la propagación de onda elástica 2D PSV en un medio heterogeneo de dos capas mediante el esquema velocidad - esfuerzo y rejilla escalonada propuesto por Virieux (1986), como resultado se muestra en la figura 1 el modelo de velocidad de la onda P, en la figura 2 el modelo de velocidad de la onda S, en la figura 3 el modelo de densidad, en la figura 4 se muestra la ondicula propagada y en la figura 5 cuatro cuadros donde se muestra el avance de la onda P mediante la divergencia, la onda S mediante el rotor y las velocidades $v_x$ y $v_z$, en la figura 6 \n",
    "\n",
    "#### Sistema de ecuaciones de onda elástica 2D\n",
    "El sistema de ecuaciones para la propagación de la onda elástica en 2D en el esquema velocidad - esfuerzo donde el movimiento de la particula es en la dirección x (horizontal) y en la dirección z (vertical) son:\n",
    "\n",
    "$$\n",
    "\\frac{\\partial v_x}{\\partial t} = \\frac{1}{\\rho} \\left( \\frac{\\partial \\tau_{xx}}{\\partial x} + \\frac{\\partial \\tau_{xz}}{\\partial z} \\right)\n",
    "$$\n",
    "$$\n",
    "\\frac{\\partial v_z}{\\partial t} = \\frac{1}{\\rho} \\left( \\frac{\\partial \\tau_{xz}}{\\partial x} + \\frac{\\partial \\tau_{zz}}{\\partial z} \\right)\n",
    "$$\n",
    "$$\n",
    "\\frac{\\partial \\tau_{xx}}{\\partial t} = (\\lambda + 2\\mu)\\frac{\\partial v_x}{\\partial x} + \\lambda \\frac{\\partial v_z}{\\partial z}\n",
    "$$\n",
    "$$\n",
    "\\frac{\\partial \\tau_{zz}}{\\partial t} = (\\lambda + 2\\mu)\\frac{\\partial v_z}{\\partial z} + \\lambda \\frac{\\partial v_x}{\\partial x}\n",
    "$$\n",
    "$$\n",
    "\\frac{\\partial \\tau_{xz}}{\\partial t} = \\mu \\left( \\frac{\\partial v_x}{\\partial z} + \\frac{\\partial v_z}{\\partial x} \\right)\n",
    "$$\n",
    "\n",
    "donde $ \\rm {\\rho} $ es la densidad, $ \\rm {\\lambda}$ y $ \\rm {\\mu}$ son los parámetros de Lamé, $ \\rm{(v_x,\\; v_z)}$ es el vector de velocidad de partículas , $ \\rm {\\tau_{xx}} $, $ \\rm{\\tau_{zz}} $, $ \\rm{\\tau_{xz}}$ son los componentes del tensor esfuerzo\n",
    "\n",
    "#### Implementación númerica mediante el metodo de rejilla escalonada\n",
    "Para la solución numérica de las ecuaciones de movimiento elásticas hay que discretizarlas en el tiempo y el espacio en una cuadrícula. Las velocidades de las partículas $\\rm{\\mathbf{v}}$, los esfuerzos $\\rm{\\tau_{ij}}$, los parámetros de Lamé $\\rm{\\lambda}$ y $\\rm{\\mu}$ son calculado y definido en coordenadas cartesianas discretas $\\rm{x = i \\; dx}$, $\\rm{z = j \\; dz}$ y tiempos discretos $\\rm{t = n \\; dt}$. $\\rm{dx}$ y $\\rm{dz}$ denota la distancia espacial entre dos puntos de cuadrícula adyacentes en el eje x y eje z respectivamente y $\\rm{dt}$ es la diferencia entre dos pasos de tiempo sucesivos. Por lo tanto, cada punto de la cuadrícula se encuentra en el intervalo $\\rm{i \\in N | [1, nx]}$, $\\rm {j \\in N | [1, nz]}$ y $\\rm{n \\in N | [1, nt]}$, donde $\\rm{nx}$, $\\rm{nz}$ y $\\rm{nt}$ son el número de puntos discretos de la cuadrícula espacial y el número de pasos de tiempo, respectivamente.\n",
    "\n",
    "Finalmente, las derivadas parciales se reemplazan por operadores **de diferencia finita (FD)**. Se pueden distinguir dos tipos de operadores, operadores hacia adelante y hacia atrás $ \\rm {D^+, \\; D^-}$. La derivada de una función f(x) con respecto a una variable x puede ser aproximada por los siguientes operadores de segundo orden:\n",
    "\n",
    "$$\\rm{D^+_x f = \\frac{f_{i+1}-f_{i}}{dx} \\hspace{1 cm} \\text{operador hacia adelante}} $$\n",
    "\n",
    "$$\\rm{D^-_x f = \\frac{f_i-f_{i-1}}{dx} \\hspace{1 cm} \\text{operador hacia atras}} $$\n",
    "\n",
    "Para calcular las derivadas espaciales de las variables de campo de onda en las posiciones correctas entre sí, las variables no se colocan en los mismos puntos de la cuadrícula, sino que se escalonan por la mitad de la distancia del punto de la cuadrícula espacial (Virieux 1986). La Figura 1 muestra la distribución de los parámetros del material y las variables del campo de onda en la cuadrícula espacial.\n",
    "\n",
    "![Staggered grid](./Staggered_grid.png)\n",
    "\n",
    "En el siguiente paso, discretizamos las ecuaciones de movimiento para el problema 2D PSV utilizando un enfoque de diferencia finita escalonada. Primero, discretizamos la componente x de la ecuación de momento aproximando las derivadas espaciales\n",
    "\n",
    "$$\\rm{\\frac{\\partial \\tau_{xx}}{\\partial x} \\approx \\frac{\\tau_{xx}(j,i+1) - \\tau_{xx}(j,i)}{dx}}, \\rm{\\frac{\\partial \\tau_{xz}}{\\partial z} \\approx \\frac{\\tau_{xz}(j+1/2, i) - \\tau_{xz}(j-1/2,i)}{dz}} $$\n",
    "\n",
    "Y la derivada temporal viene dada por\n",
    "\n",
    "$$\\rho \\rm{\\frac{\\partial v_x}{\\partial t} \\approx \\rho_x(j,i+1/2) \\frac{v_x^{n+1/2}(j,i+1/2) - v_x^{n-1/2}(j,i+1/2)}{dt}} $$\n",
    "\n",
    "Insertandola en la ecuación diferencial parcial\n",
    "\n",
    "$$\\rm{\\rho \\frac{\\partial v_x}{\\partial t} = \\frac{\\partial \\tau_{xx}}{\\partial x} + \\frac{\\partial \\tau_{xz}}{\\partial z}} $$\n",
    "\n",
    "lleva a\n",
    "\n",
    "$$\\rho_x(j,i+1/2) \\frac{v_x^{n+1/2}(j,i+1/2) - v_x^{n-1/2}(j,i+1/2)}{dt} = \\frac{\\tau_{xx}^n(j,i+1) - \\tau_{xx}^n(j,i)}{dx} + \\frac{\\tau_{xz}^n(j+1/2, i) - \\tau_{xz}^n(j-1/2,i)}{dz} $$\n",
    "\n",
    "Despues  reordenando  para $v_x^{n+1/2}(j,i+1/2)$ se obtiene el siguiente esquema de FD explicito para el componente  x del la ecuación de  momentum:\n",
    "\n",
    "$$\\rm{v_x^{n+1/2}(j,i+1/2) = v_x^{n-1/2}(j,i+1/2) + \\frac{dt}{\\rho_x(j,i+1/2)}\\cdot \\biggl(\\frac{\\tau^n_{xx}(j,i+1) - \\tau^n_{xx}(j,i)}{dx} + \\frac{\\tau^n_{xz}(j+1/2, i) - \\tau^n_{xz}(j-1/2,i)}{dz} \\biggr)} $$\n",
    "\n",
    "Usando un enfoque similar, podemos derivar el esquema FD para la componente y de la ecuación de momento ...\n",
    "\n",
    "$$\\rm{v_z^{n+1/2}(j,i+1/2) = v_z^{n-1/2}(j,i+1/2) + \\frac{dt}{\\rho_z(j+1/2,i)}\\cdot \\biggl(\\frac{\\tau^n_{xz}(j, i+1/2) - \\tau^n_{xz}(j,i-1/2)}{dx} + \\frac{\\tau^n_{zz}(j+1,i) - \\tau^n_{zz}(j,i)}{dz} \\biggr)} $$\n",
    "\n",
    "... y los esfuerzos ...\n",
    "\n",
    "$$\n",
    "\\begin{split}   \n",
    "\\rm{\\tau^{n+1}_{xx}(j,i)}\\;&\\rm{= \\tau_{xx}^{n}(j,i) + dt\\cdot\\lambda(j,i)\\cdot \\biggl(v^{n+1/2}_{xx}(j,i) + v^{n+1/2}_{zz}(j,i) \\biggr) + 2 dt\\cdot  \\mu(j,i) \\cdot  v^{n+1/2}_{xx}(j,i)}\\\\ \n",
    "\\rm{\\tau^{n+1}_{zz}(j,i)}\\;&\\rm{= \\tau_{zz}^{n}(j,i) + dt\\cdot\\lambda(j,i)\\cdot \\biggl(v^{n+1/2}_{xx}(j,i) + v^{n+1/2}_{zz}(j,i) \\biggr) + 2 dt\\cdot  \\mu(j,i) \\cdot  v^{n+1/2}_{zz}(j,i)}\\\\ \n",
    "\\rm{\\tau^{n+1}_{xz}(j+1/2,i+1/2)}\\;&\\rm{=\\tau^{n}_{xz}(j+1/2,i+1/2) + dt\\cdot\\mu_{xz}(j+1/2,i+1/2)\\biggl(v^{n+1/2}_{xz}(j+1/2,i+1/2) + v^{n+1/2}_{zx}(j+1/2,i+1/2)\\biggr)}\\\\\n",
    "\\end{split}\n",
    "$$\n",
    "\n",
    "con las derivadas espaciales\n",
    "\n",
    "$$\n",
    "\\begin{split}  \n",
    "\\rm{v_{xx}(j,i)}\\; & \\rm{= \\frac{v_x(j,i+1/2)-v_x(j,i-1/2)}{dx}}\\\\ \n",
    "\\rm{v_{zz}(j,i)}\\; & \\rm{= \\frac{v_z(j+1/2,i)-v_z(j-1/2,i)}{dz}}\\\\ \n",
    "\\rm{v_{zx}(j+1/2,i+1/2)}\\; & \\rm{= \\frac{v_z(j+1/2, i+1)-v_z(j+1/2, i)}{dx}}\\\\ \n",
    "\\rm{v_{xz}(j+1/2,i+1/2)}\\; & \\rm{= \\frac{v_x(j+1,i+1/2)-v_x(j, i+1/2)}{dz}}\\\\\n",
    "\\end{split}\n",
    "$$\n",
    "\n",
    "#### Termino o función fuente\n",
    "\n",
    "En este codigo se uso como función fuente se uso una ondicula  cuya ecuación es:\n",
    "\n",
    "$$\n",
    "s= exp\\left(-f_0^2*((t-t_0)*dt)^2\\right)\n",
    "$$\n",
    "\n",
    "donde $f_0$ es la frecuencia dominante y $t_0$ es el retraso en tiempo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import Libraries \n",
    "# ----------------------------------------------\n",
    "%matplotlib notebook\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "def d(comp,inpu,dire):\n",
    "    if(comp=='x'): idim = 0\n",
    "    elif(comp=='z'): idim = 1\n",
    "    \n",
    "    if(dire == '+'):\n",
    "        return (np.roll(inpu, -1, axis = idim)-inpu)/dx\n",
    "    elif(dire == '-'):\n",
    "        return (inpu - np.roll(inpu, 1, axis = idim))/dx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Input Parameter\n",
    "# ----------------------------------------------\n",
    "\n",
    "# Discretization\n",
    "c1=20           # Number of grid points per dominant wavelength\n",
    "c2=0.6          # CFL-Number\n",
    "nx=800          # number of grid points in x-direction\n",
    "nz=400          # number of grid points in z-direction\n",
    "Tt= 0.60\n",
    "idisp = 25 # display frequency\n",
    " \n",
    "# Source Signal\n",
    "f0= 25      # Center frequency Ricker-wavelet\n",
    "aa= 1/f0\n",
    "q0= 1      # Maximum amplitude Ricker-Wavelet\n",
    "xscr = int(nx/2)-1;  zscr = int(nz/4)-1 # Source position (in grid points)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Velocity and density\n",
    "model_vp=3000*np.ones((nx,nz))   # P-wave velocity in m/s\n",
    "model_vs=1500*np.ones((nx,nz))   # S-wave velocity in m/s\n",
    "rho= 2200*np.ones((nx,nz))       # Density in g/cm^3\n",
    "\n",
    "for j in range((nz//2)-1,nz):\n",
    "    model_vp[:,j]=model_vp[:,j]*1.3\n",
    "    \n",
    "for j in range((nz//2)-1,nz):\n",
    "    model_vs[:,j]=model_vs[:,j]*1.3\n",
    "   \n",
    "for j in range((nz//2)-1,nz):\n",
    "    rho[:,j]=rho[:,j]*1.25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting velocity and density model\n",
    "plt.ion()\n",
    "fig1 = plt.figure()\n",
    "plt.title('P-wave Velocity Model (m/s)')\n",
    "plt.xlabel('x-grid')\n",
    "plt.ylabel('z-grid')\n",
    "im = plt.imshow(model_vp.transpose(),vmin=model_vp.min(), vmax=model_vp.max(), animated=True,interpolation=\"nearest\", cmap=plt.cm.RdBu)\n",
    "fig1.colorbar(im)\n",
    "\n",
    "fig2 = plt.figure()\n",
    "plt.title('S-wave Velocity Model (m/s)')\n",
    "plt.xlabel('x-grid')\n",
    "plt.ylabel('z-grid')\n",
    "im = plt.imshow(model_vs.transpose(),vmin=model_vs.min(), vmax=model_vs.max(), animated=True,interpolation=\"nearest\", cmap=plt.cm.RdBu)\n",
    "fig2.colorbar(im)\n",
    "\n",
    "fig3 = plt.figure()\n",
    "plt.title('Density Model (Kg/$m^3$)')\n",
    "plt.xlabel('x-grid')\n",
    "plt.ylabel('z-grid')\n",
    "im = plt.imshow(rho.transpose(),vmin=rho.min(), vmax=rho.max(), animated=True,interpolation=\"nearest\", cmap=plt.cm.RdBu)\n",
    "fig3.colorbar(im)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Preparation \n",
    "\n",
    "# Init wavefields\n",
    "vx=np.zeros((nx,nz))\n",
    "vz=np.zeros((nx,nz))\n",
    "txx=np.zeros((nx,nz))\n",
    "tzz=np.zeros((nx,nz))\n",
    "txz=np.zeros((nx,nz))\n",
    "vol   = np.zeros([nx,nz])\n",
    "curl  = np.zeros([nx,nz])\n",
    "\n",
    "# Calculate Lame  Parameters\n",
    "lam=rho*(model_vp**2 - 2*model_vs**2)\n",
    "mu=rho*model_vs**2 \n",
    "\n",
    "cmin=model_vp.min()  # Lowest P-wave velocity\n",
    "cmax=model_vp.max()  # Highest P-wave velocity\n",
    "fmax=2*f0              # Maximum frequency\n",
    "dx=cmin/(fmax*c1)      # Spatial discretization (in m)\n",
    "dz=dx \n",
    "dt=dx/(cmax)*c2        # Temporal discretization (in s)\n",
    "lampda_min=cmin/fmax   # Smallest wavelength\n",
    "\n",
    "# Create space and time vector\n",
    "x=np.arange(0,dx*nx-dx,dx) # Space vector\n",
    "z=np.arange(0,(dz*nz-dz),dz) # Space vector\n",
    "t=np.arange(0,(Tt-dt),dt)    # Time vector\n",
    "nt=len(t)       # Number of time steps\n",
    "\n",
    "seismo_vx=np.zeros((nx,nt))\n",
    "seismo_vz=np.zeros((nx,nt))\n",
    "seismo_txx=np.zeros((nx,nt))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 3.817710126108216e-63 <source< 1.0\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Source signal - Ricker-wavelet\n",
    "#tau=np.pi*f0*(t-1.5/f0)\n",
    "#q=q0*(1-2*tau**2)*np.exp(-tau**2)\n",
    "\n",
    "# Initialise source\n",
    "s = np.zeros(nt)\n",
    "t0 = 3. * aa/dt\n",
    "for i in range(1,nt+1):\n",
    "    s[i-1]= np.exp(- 1./aa**2*((i-t0)*dt)**2)\n",
    "print(' %r <source< %r' %(s.min(),s.max()))\n",
    "\n",
    "# Plotting source signal\n",
    "plt.ion()\n",
    "fig4 = plt.figure(figsize=(9,4.5))\n",
    "plt.plot(t,s)\n",
    "plt.title('Source signal Ricker-Wavelet')\n",
    "plt.xlabel('Time in s')\n",
    "plt.ylabel('Amplitude')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot preparation\n",
    "# Initialize animated plot\n",
    "plt.ion()\n",
    "fig5 = plt.figure(figsize=(9,6))\n",
    "f1 = fig5.add_subplot(2, 2, 1)\n",
    "f2 = fig5.add_subplot(2, 2, 2)\n",
    "f3 = fig5.add_subplot(2, 2, 3)\n",
    "f4 = fig5.add_subplot(2, 2, 4)\n",
    "f1.set_title('curl')\n",
    "f2.set_title('div')\n",
    "f3.set_title('vx')\n",
    "f4.set_title('vz')\n",
    "\n",
    "curlp = f1.imshow(curl.transpose(), interpolation='nearest', animated=True,\n",
    "                   vmin=-1.0e-11, vmax=1.0e-11, cmap=plt.cm.RdBu)\n",
    "divp = f2.imshow(vol.transpose(), interpolation='nearest', animated=True,\n",
    "                   vmin=-1.0e-11, vmax=1.0e-11, cmap=plt.cm.RdBu)\n",
    "vxp = f3.imshow(vx.transpose(), interpolation='nearest', animated=True,\n",
    "                   vmin=-1.0e-09, vmax=1.0e-09, cmap=plt.cm.RdBu)\n",
    "vzp = f4.imshow(vz.transpose(), interpolation='nearest', animated=True,\n",
    "                   vmin=-1.0e-09, vmax=1.0e-09, cmap=plt.cm.RdBu)\n",
    "\n",
    "# Plot the receivers\n",
    "#for x, z in zip(irx, irz):\n",
    "#    plt.text(x, z, '+')\n",
    "\n",
    "#plt.plot(zscr, xscr, 'r*', markersize=11)\n",
    "#plt.colorbar()\n",
    "#plt.xlabel('ix')\n",
    "#plt.ylabel('iz')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "for n in range(1,nt+1):\n",
    "\n",
    "    # Inject source wavelet (explosion)\n",
    "#    txx[xscr,zscr]=txx[xscr,zscr]+q[n]\n",
    "#    tzz[xscr,zscr]=tzz[xscr,zscr]+q[n]\n",
    "        \n",
    "    txx[xscr,zscr]=txx[xscr,zscr]+s[int(n)-1]   \n",
    "    tzz[xscr,zscr]=tzz[xscr,zscr]+s[int(n)-1]\n",
    "    \n",
    "#    txx[0,:]=txx[nx-1,:]\n",
    "#    tzz[0,:]=tzz[nx-1,:]\n",
    "#    txz[0,:]=txz[nx-1,:]\n",
    "#    txx[nx-1,:]=0.\n",
    "#    tzz[nx-1,:]=0.\n",
    "#    txz[nx-1,:]=0.\n",
    "    \n",
    "    \n",
    "    txx[:,0] = 0.\n",
    "#    tzz[:,0] = 0.\n",
    "#    txz[:,0] = 0.\n",
    "    txx[:,nz-1] = 0.\n",
    "    tzz[:,nz-1] = 0.\n",
    "    txz[:,nz-1] = 0.\n",
    "    k=0;\n",
    "    for j in range(0,nx-1):\n",
    "          txz[j,k]=0.\n",
    "          tzz[j,k]=tzz[j,k+1]\n",
    "    \n",
    "    # Update velocity\n",
    "#    # Calculating spatial derivative\n",
    "#    for i in range(1, nx-1):\n",
    "#        for j in range(1, nz-1):\n",
    "#            txx_x = (txx[i,j+1]-txx[i,j])/dx\n",
    "#            tzz_z = (tzz[i+1,j]-tzz[i,j])/dz\n",
    "#            txz_x = (txz[i,j]-txz[i,j-1])/dx\n",
    "#            txz_z = (txz[i,j]-txz[i-1,j])/dz\n",
    "           \n",
    "    # Update velocity\n",
    "    vx=vx+(dt/rho)*(d('x',txx,'-') + d('z',txz,'-'))\n",
    "    vz=vz+(dt/rho)*(d('x',txz,'+') + d('z',tzz,'+'))\n",
    "            \n",
    "    curl = d('z',vx,'+') - d('x',vz,'-')\n",
    "    vol = d('x',vx,'+') + d('z',vz,'-')            \n",
    "\n",
    "\n",
    "#    # Calculating spatial derivative\n",
    "#    for i in range(1, nx-1):\n",
    "#        for j in range(1, nz-1):\n",
    "#            vx_x[i,j] = (vx[i,j]-vx[i,j-1])/dx\n",
    "#            vz_z[i,j] = (vz[i,j]-vz[i-1,j])/dz\n",
    "#            vz_x[i,j] = (vz[i,j+1]-vz[i,j])/dx        \n",
    "#            vx_z[i,j] = (vx[i+1,j]-vx[i,j])/dz\n",
    "\n",
    "                       \n",
    "    # Update pressure\n",
    "\n",
    "    txx=txx+(lam *  vol + 2*mu * d('x',vx,'+')  ) * dt\n",
    "    tzz=tzz+(lam *  vol + 2*mu * d('z',vz,'-')  ) * dt\n",
    "    txz=txz+(mu * (d('z',vx,'+') + d('x',vz,'-') ) ) * dt \n",
    "    \n",
    "    seismo_vx[0:nx-1,n-1]=vx[0:nx-1,3]\n",
    "    seismo_vz[0:nx-1,n-1]=vz[0:nx-1,3]\n",
    "    seismo_txx[0:nx-1,n-1]=txx[0:nx-1,3]\n",
    "                \n",
    "        # Plot every time step (nt)\n",
    "    if (n % idisp) == 0:\n",
    "        #plt.title('Time Step (nt) = %d' % n)    \n",
    "        curlp.set_data(curl.transpose())\n",
    "        divp.set_data(vol.transpose())\n",
    "        vxp.set_data(vx.transpose())\n",
    "        vzp.set_data(vz.transpose())\n",
    "        plt.gcf().canvas.draw()\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot Seismograms 3 pts below free surface\n",
    "    \n",
    "fac=0.25\n",
    "ymx=abs(seismo_vx).max()\n",
    "clim=np.array([-fac*ymx, fac*ymx])\n",
    "plt.ion()\n",
    "fig2 = plt.figure()\n",
    "plt.title('Common Shot Gather (horizontal component phone)')\n",
    "plt.xlabel('x-grid')\n",
    "plt.ylabel('nt')\n",
    "im = plt.imshow(seismo_vx.transpose(),vmin=clim.min(), vmax=clim.max(), animated=True,interpolation=\"nearest\", cmap=plt.cm.RdBu)\n",
    "fig2.colorbar(im)\n",
    "plt.show()\n",
    "\n",
    "ymx=abs(seismo_vz).max()\n",
    "clim=np.array([-fac*ymx, fac*ymx])\n",
    "plt.ion()\n",
    "fig3 = plt.figure()\n",
    "plt.title('Common Shot Gather (vertical component phone)')\n",
    "plt.xlabel('x-grid')\n",
    "plt.ylabel('nt')\n",
    "im = plt.imshow(seismo_vz.transpose(),vmin=clim.min(), vmax=clim.max(), animated=True,interpolation=\"nearest\", cmap=plt.cm.RdBu)\n",
    "fig3.colorbar(im)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}