elastic_wave_2d_staggered_isotropic_v7_DX4_DT2_with_PML.ipynb

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    "### Codigo para la propagación de onda elástica 2D PSV en un medio homogeneo mediante el esquema velocidad - esfuerzo y rejilla escalonada (usado en tesis)\n",
    "En este Notebook se presenta un codigo para la propagación de onda elástica 2D PSV en un medio homogeneo mediante el esquema velocidad - esfuerzo y rejilla escalonada propuesto por Virieux (1986), como resultado se muestra en la figura 1 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 $v_z$\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 $\\rm{i\\ en N | [1, nx]}$, $\\rm {j\\ en N | [1, nz]}$ y $\\rm{n\\ en N | [1, nt]}$, 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"
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   "source": [
    "# Import Libraries \n",
    "# ----------------------------------------------\n",
    "%matplotlib notebook\n",
    "import numpy as np\n",
    "import numpy.matlib as npmat\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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 (9/8*(np.roll(inpu, -1, axis = idim)-inpu)\n",
    "                -1/24*(np.roll(inpu, -2, axis = idim)-np.roll(inpu, 1, axis = idim)))/dx\n",
    "    elif(dire == '-'):\n",
    "        return (9/8*(inpu - np.roll(inpu, 1, axis = idim))\n",
    "                -1/24*(np.roll(inpu, -1, axis = idim)-np.roll(inpu, 2, axis = idim)))/dx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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 for 2D CFL< 0.606\n",
    "nx=400          # number of grid points in x-direction\n",
    "nz=400          # number of grid points in z-direction\n",
    "T=0.43\n",
    "idisp = 10 # display frequency\n",
    "\n",
    "# The grid number of pml\n",
    "pml = 50                              \n",
    "m = nx + 2*pml\n",
    "n = nz + 2*pml\n",
    " \n",
    "# Source Signal\n",
    "f0= 50      # Center frequency Ricker-wavelet\n",
    "q0= 1      # Maximum amplitude Ricker-Wavelet\n",
    "t0= 1.5/f0\n",
    "xscr = int(m/2)-1;  zscr = pml+6 # Source position (in grid points)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Velocity and density\n",
    "Vpp=3000*np.ones((nx,nz))   # P-wave velocity in m/s\n",
    "Vss=1500*np.ones((nx,nz))   # S-wave velocity in m/s\n",
    "den= 2200*np.ones((nx,nz))       # Density in Kg/m^3\n",
    "\n",
    "for j in range((nz//2)-1,nz):\n",
    "    Vpp[:,j]=Vpp[:,j]*1.5\n",
    "    \n",
    "for j in range((nz//2)-1,nz):\n",
    "    Vss[:,j]=Vss[:,j]*1.5\n",
    "   \n",
    "for j in range((nz//2)-1,nz):\n",
    "    den[:,j]=den[:,j]*1.25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
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       "        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 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\" 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      ],
      "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"
    },
    {
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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": [
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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 (m)')\n",
    "plt.ylabel('z (m)')\n",
    "im = plt.imshow(Vpp.transpose(),vmin=Vpp.min(), vmax=Vpp.max(), animated=True,\n",
    "                interpolation=\"nearest\", cmap=plt.cm.RdBu,extent=[0,(nx)*1.5,(nz)*1.5,0],aspect = 'equal')\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(Vss.transpose(),vmin=Vss.min(), vmax=Vss.max(), animated=True,\n",
    "                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(den.transpose(),vmin=den.min(), vmax=den.max(), animated=True,\n",
    "                interpolation=\"nearest\", cmap=plt.cm.RdBu)\n",
    "fig3.colorbar(im)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# PML extra edge\n",
    "\n",
    "Vp=np.zeros((m,n))                        # medium velocity of P wave,m/s,zero fill\n",
    "Vp[pml:pml+nx,pml:pml+nz] = Vpp\n",
    "Vp[pml:pml+nx,0:pml] = np.transpose(npmat.repmat(Vpp[:,0],pml,1))\n",
    "Vp[pml:pml+nx,nz+pml:2*pml+nz] = np.transpose(npmat.repmat(Vpp[:,nz-1],pml,1))\n",
    "Vp[0:pml,:] = npmat.repmat(Vp[pml,:],pml, 1)\n",
    "Vp[pml+nx:2*pml+nx,:] = npmat.repmat(Vp[pml+nx-1,:],pml, 1)\n",
    "del Vpp\n",
    "\n",
    "Vs=np.zeros((m,n))                        # medium velocity of S wave,m/s,zero fill\n",
    "Vs[pml:pml+nx,pml:pml+nz] = Vss\n",
    "Vs[pml:pml+nx,0:pml] = np.transpose(npmat.repmat(Vss[:,0],pml,1))\n",
    "Vs[pml:pml+nx,nz+pml:nz+2*pml] = np.transpose(npmat.repmat(Vss[:,nz-1],pml,1))\n",
    "Vs[0:pml,:] = npmat.repmat(Vs[pml,:],pml, 1)\n",
    "Vs[pml+nx:2*pml+nx,:] = npmat.repmat(Vs[pml+nx-1,:],pml, 1)\n",
    "del Vss;\n",
    "\n",
    "rho=np.zeros((m,n))                        # medium density,kg/m**3,zero fill\n",
    "rho[pml:pml+nx,pml:pml+nz] = den;\n",
    "rho[pml:pml+nx,0:pml] = np.transpose(npmat.repmat(den[:,0],pml,1))\n",
    "rho[pml:pml+nx,nz+pml:nz+2*pml] = np.transpose(npmat.repmat(den[:,nz-1],pml,1))\n",
    "rho[0:pml,:] = npmat.repmat(rho[pml,:],pml, 1)\n",
    "rho[pml+nx:2*pml+nx,:] =npmat.repmat(rho[pml+nx-1,:],pml,1)\n",
    "del den\n",
    "\n",
    "# Calculate Lame  Parameters\n",
    "lam=rho*(Vp**2 - 2*Vs**2)\n",
    "mu=rho*Vs**2\n",
    "del Vs\n",
    "\n",
    "plt.ion()\n",
    "fig1 = plt.figure()\n",
    "#plt.title('P-wave Velocity Model (m/s)')\n",
    "plt.xlabel('x (m)')\n",
    "plt.ylabel('z (m)')\n",
    "im = plt.imshow(Vp.transpose(),vmin=Vp.min(), vmax=Vp.max(), animated=True,\n",
    "                interpolation=\"nearest\", cmap=plt.cm.RdBu,extent=[0,(m)*1.5,(n)*1.5,0],aspect = 'equal')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.5 1.5 0.00019999999999999998\n"
     ]
    }
   ],
   "source": [
    "## Preparation \n",
    "\n",
    "# Init wavefields\n",
    "vx=np.zeros((m,n))\n",
    "vz=np.zeros((m,n))\n",
    "sxx=np.zeros((m,n))\n",
    "szz=np.zeros((m,n))\n",
    "sxz=np.zeros((m,n))\n",
    "vx1=np.zeros((m,n))\n",
    "vx2=np.zeros((m,n))\n",
    "vz1=np.zeros((m,n))\n",
    "vz2=np.zeros((m,n))\n",
    "sxx1=np.zeros((m,n))\n",
    "sxx2=np.zeros((m,n))\n",
    "szz1=np.zeros((m,n))\n",
    "szz2=np.zeros((m,n))\n",
    "sxz1=np.zeros((m,n))\n",
    "sxz2=np.zeros((m,n))\n",
    "\n",
    "vol   = np.zeros([m,n])\n",
    "curl  = np.zeros([m,n])\n",
    "\n",
    "cmin=Vp.min()  # Lowest P-wave velocity\n",
    "cmax=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",
    "print(dx,dz,dt)\n",
    "del Vp\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,(T-dt),dt)    # Time vector\n",
    "nt=len(t)       # Number of time steps\n",
    "\n",
    "# Shot gathers\n",
    "seismo_vx=np.zeros((m,nt))\n",
    "seismo_vz=np.zeros((m,nt))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / 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": {
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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Source signal - Ricker-wavelet\n",
    "\n",
    "# Initialise source\n",
    "tau=np.pi*f0*(t-t0);\n",
    "s=q0*(1-2*tau**2)*np.exp(-tau**2);\n",
    "\n",
    "# Plotting source signal\n",
    "plt.ion()\n",
    "fig4 = plt.figure(figsize=(9,4.5))\n",
    "plt.plot(t-t0,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": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Attenuation(pml)\n",
    "R=0.5e-0;          # theoretical reflection coefficient\n",
    "ddx=np.zeros((m,n)) \n",
    "ddz=np.zeros((m,n))\n",
    "plx=pml*dx\n",
    "plz=pml*dz\n",
    "for i in range(0,m):\n",
    "     for k in range(0,n):\n",
    "         # zone1\n",
    "         if i>=0 and i<=pml-1 and k>=0 and k<=pml-1:\n",
    "             x=pml-k;z=pml-i\n",
    "             ddx[i,k]=-np.log(R)*3*cmax*x**2/(2*plx**2)\n",
    "             ddz[i,k]=-np.log(R)*3*cmax*z**2/(2*plz**2)\n",
    "         elif i>=0 and i<=pml-1 and k>m-pml-1 and k<=m:\n",
    "             x=k-(m-pml);z=pml-i\n",
    "             ddx[i,k]=-np.log(R)*3*cmax*x**2/(2*plx**2)\n",
    "             ddz[i,k]=-np.log(R)*3*cmax*z**2/(2*plz**2)\n",
    "         elif i>n-pml-1 and i<=n and k>=0 and k<=pml-1:\n",
    "             x=pml-k;z=i-(n-pml);\n",
    "             ddx[i,k]=-np.log(R)*3*cmax*x**2/(2*plx**2)\n",
    "             ddz[i,k]=-np.log(R)*3*cmax*z**2/(2*plz**2)\n",
    "         elif i>n-pml-1 and i<=n and k>m-pml-1 and k<=m:\n",
    "             x=k-(m-pml);z=i-(n-pml);\n",
    "             ddx[i,k]=-np.log(R)*3*cmax*x**2/(2*plx**2)\n",
    "             ddz[i,k]=-np.log(R)*3*cmax*z**2/(2*plz**2)\n",
    "  \n",
    "         # zone2\n",
    "         elif i<=pml-1 and k>pml-1 and k<m-pml:\n",
    "             x=0;z=pml-i;\n",
    "             ddx[i,k]=0\n",
    "             ddz[i,k]=-np.log(R)*3*cmax*z**2/(2*plz**2)\n",
    "         elif  i>n-pml-1 and i<=n and k>pml-1 and k<=m-pml-1:\n",
    "             x=0;z=i-(n-pml);\n",
    "             ddx[i,k]=0\n",
    "             ddz[i,k]=-np.log(R)*3*cmax*z**2/(2*plz**2)\n",
    "         # zone3\n",
    "         elif i>pml-1 and i<=n-pml-1 and k<=pml-1:\n",
    "             x=pml-k;z=0;\n",
    "             ddx[i,k]=-np.log(R)*3*cmax*x**2/(2*plx**2)\n",
    "             ddz[i,k]=0\n",
    "         elif i>pml-1 and i<=n-pml-1 and k>m-pml-1 and k<=m:\n",
    "             x=k-(m-pml);z=0;\n",
    "             ddx[i,k]=-np.log(R)*3*cmax*x**2/(2*plx**2)\n",
    "             ddz[i,k]=0\n",
    "\n",
    "ddx=np.transpose(ddx)\n",
    "ddz=np.transpose(ddz) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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": {
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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[pml:m-pml,pml:m-pml].transpose(), interpolation='nearest', animated=True,\n",
    "                   vmin=-2.5e-11, vmax=2.5e-11, cmap=plt.cm.RdBu,extent=[0,(m-2*pml)*dx,(n-2*pml)*dz,0],aspect = 'equal')\n",
    "divp = f2.imshow(vol[pml:m-pml,pml:m-pml].transpose(), interpolation='nearest', animated=True,\n",
    "                   vmin=-2.5e-11, vmax=2.5e-11, cmap=plt.cm.RdBu,extent=[0,(m-2*pml)*dx,(n-2*pml)*dz,0],aspect = 'equal')\n",
    "vxp = f3.imshow(vx[pml:m-pml,pml:m-pml].transpose(), interpolation='nearest', animated=True,\n",
    "                   vmin=-2.5e-10, vmax=2.5e-10, cmap=plt.cm.RdBu,extent=[0,(m-2*pml)*dx,(n-2*pml)*dz,0],aspect = 'equal')\n",
    "vzp = f4.imshow(vz[pml:m-pml,pml:m-pml].transpose(), interpolation='nearest', animated=True,\n",
    "                   vmin=-2.5e-10, vmax=2.5e-10, cmap=plt.cm.RdBu,extent=[0,(m-2*pml)*dx,(n-2*pml)*dz,0],aspect = 'equal')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "for tt in range(1,nt):\n",
    "\n",
    "    # Inject source wavelet (explosion)\n",
    "       \n",
    "    sxx[xscr,zscr]=sxx[xscr,zscr]+s[tt]   \n",
    "    szz[xscr,zscr]=szz[xscr,zscr]+s[tt]\n",
    "    \n",
    "    # Free surface\n",
    "    szz[:,pml-1]=0.\n",
    "    sxz[:,pml-1]=0.\n",
    "               \n",
    "    # Update velocity\n",
    "    vx1=((1-0.5*dt*ddx)*vx1+(dt/rho)*d('x',sxx,'-'))/(1+0.5*dt*ddx)  \n",
    "    vx2=((1-0.5*dt*ddz)*vx2+(dt/rho)*d('z',sxz,'-'))/(1+0.5*dt*ddz)\n",
    "    vx = vx1+vx2\n",
    "    \n",
    "    vz1=((1-0.5*dt*ddx)*vz1+(dt/rho)*d('x',sxz,'+'))/(1+0.5*dt*ddx)\n",
    "    vz2=((1-0.5*dt*ddz)*vz2+(dt/rho)*d('z',szz,'+'))/(1+0.5*dt*ddz)\n",
    "    vz = vz1+vz2 \n",
    "    \n",
    "            \n",
    "    curl = d('z',vx,'+') - d('x',vz,'-')\n",
    "    vol = d('x',vx,'+') + d('z',vz,'-')            \n",
    "                       \n",
    "    # Update pressure\n",
    "    sxx1=((1-0.5*dt*ddx)*sxx1+(lam+2*mu)*dt*d('x',vx,'+'))/(1+0.5*dt*ddx)\n",
    "    sxx2=((1-0.5*dt*ddz)*sxx2+lam*dt*d('z',vz,'-'))/(1+0.5*dt*ddz)\n",
    "    sxx = sxx1 + sxx2    \n",
    "\n",
    "    szz1=((1-0.5*dt*ddx)*szz1+lam*dt*d('x',vx,'+'))/(1+0.5*dt*ddx)\n",
    "    szz2=((1-0.5*dt*ddz)*szz2+(lam+2*mu)*dt*d('z',vz,'-'))/(1+0.5*dt*ddz) \n",
    "    szz = szz1+szz2 \n",
    "\n",
    "    sxz1=((1-0.5*dt*ddx)*sxz1+mu*dt*d('x',vz,'-'))/(1+0.5*dt*ddx)\n",
    "    sxz2=((1-0.5*dt*ddz)*sxz2+mu*dt*d('z',vx,'+'))/(1+0.5*dt*ddz)\n",
    "    sxz = sxz1+sxz2\n",
    "    \n",
    "    seismo_vx[0:m,tt]=vx[0:m,pml]\n",
    "    seismo_vz[0:m,tt]=vz[0:m,pml]\n",
    "    \n",
    "    # Plot every time step (nt)\n",
    "    if (tt % idisp) == 0:\n",
    "        curlp.set_data(curl[pml:m-pml,pml:m-pml].transpose())\n",
    "        f1.set_title(\"Time Step (nt) = %i\" % (tt))\n",
    "        divp.set_data(vol[pml:m-pml,pml:m-pml].transpose())\n",
    "        vxp.set_data(vx[pml:m-pml,pml:m-pml].transpose())\n",
    "        vzp.set_data(vz[pml:m-pml,pml:m-pml].transpose())\n",
    "        plt.gcf().canvas.draw()\n",
    "        \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / 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": {
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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>"
      ]
     },
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     "output_type": "display_data"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot Shot gathers 5 pts below free surface\n",
    "    \n",
    "fac=0.1\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[pml:m-pml,:].transpose(),vmin=clim.min(), vmax=clim.max(), animated=True,\n",
    "                interpolation=\"nearest\", cmap=plt.cm.RdBu,extent=[0,(m-2*pml)*dx,nt*dt - t0,0],aspect = 'auto')\n",
    "fig2.colorbar(im)\n",
    "plt.show()\n",
    "plt.savefig(\"DFDT_het_2D_vx.png\", bbox_inches='tight')\n",
    "\n",
    "fac=0.1\n",
    "ymx=abs(seismo_vz[pml:m-pml,:]).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[pml:m-pml,:].transpose(),vmin=clim.min(), vmax=clim.max(), animated=True,\n",
    "                interpolation=\"nearest\", cmap=plt.cm.RdBu,extent=[0,(m-2*pml)*dx,nt*dt - t0,0],aspect = 'auto')\n",
    "fig3.colorbar(im)\n",
    "plt.show()\n",
    "#plt.savefig(\"DFDT_het_2D_vz.png\", bbox_inches='tight')"
   ]
  }
 ],
 "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
}