surfacecycles/surfaceCycles.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![MOSEK ApS](https://www.mosek.com/static/images/branding/webgraphmoseklogocolor.png )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Optimization of cycles on surfaces"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook we use MOSEK Fusion to solve some geometric optimization problems on surfaces. The code demonstrates setting up a linear optimization problem, extending the `Model` class and shows the practical difference between interior-point and basic solution."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Requirements"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "import mosek                             \n",
    "from mosek.fusion import *\n",
    "import mosek.fusion.pythonic\n",
    "import numpy as np \n",
    "import sys, io, math, plyfile\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "#Fetching examples predefined for this presentation\n",
    "def getExample(name):\n",
    "    return plyfile.PlyData.read(open(name, 'rb'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### References\n",
    "<a href=\"https://pypi.python.org/pypi/plyfile\">`plyfile`</a> is a package for reading the descriptions of surfaces in <a href=\"https://en.wikipedia.org/wiki/PLY_(file_format)\">PLY format</a>. It can be installed with `pip install plyfile`. You will also need some data files with examples used in this presentation. The complete code and additional files are available from <a href=\"https://github.com/MOSEK/Tutorials/tree/master/Fusion/surfacecycles\">GitHub</a>.\n",
    "\n",
    "One of the models used in this tutorial comes from <a href=\"http://people.sc.fsu.edu/~jburkardt/data/ply/ply.html\">John Burkardt's</a> library of PLY files and the other ones were generated using <a href=\"http://www.cgal.org/\">CGAL</a>. A comprehensive survey of topological optimization problems can be found in the <a href=\"http://jeffe.cs.illinois.edu/pubs/pdf/optcycles.pdf\">survey paper</a> by Jeff Erickson. The model used in this tutorial comes from the paper <a href=\"https://arxiv.org/abs/1001.0338\">Optimal Homologous Cycles, Total Unimodularity, and Linear Programming</a> by Dey, Hirani and Krishnamoorthy. The experts in the field are kindly asked to fill in some vague statements in the following text with the precise algebro-topological language on their own."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A crash-course in homotopy\n",
    "A triangulated surface is a mesh of 2D triangles in 3D that fit together to form a surface. The vertices and edges of a triangulation form a graph. The *cycles* in that graph can be used to detect interesting *topological features*. For an example of what that means, see the three loops on the surface below:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](surface1.png )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now imagine that each loop is a rubber band that can be stretched in a continuous way and slide on the surface. Then the violet loop is not very interesting - it lies in a small patch of the surface and if we start shrinking it, it will collapse to a point (in other words, it is *contractible*). The yellow loop is different - it circles around a hole in the surface, and no matter how much we deform it, it will not disappear. We say this loop *detects a feature* - in this case the feature is one of the holes. The red loop has the same property. Moreover, the yellow and red loops are *homotopic* - each of them can be continuosly moulded into the second one - i.e. they detect the same feature (hole).\n",
    "\n",
    "In some applications it is useful to have *small* representations of topological features, in this case the shortest possible loops in a given homotopy class. There are at least two reasonable ways of measuring the length of a path on a surface: with the Euclidean metric on the edges, or just counting the number of edges."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Two ways of assigning edge weights\n",
    "def euclideanM(x, y):\n",
    "    return math.sqrt(sum([(x[i]-y[i])**2 for i in range(3)]))\n",
    "def graphM(x,y):\n",
    "    return 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## First problem: shortest equivalent representation of a cycle\n",
    "Suppose the surface has $v$ vertices, $e$ edges and $t$ triangles. It is convenient to represent it by *boundary matrices*, which are just variants of the <a href=\"https://en.wikipedia.org/wiki/Incidence_matrix\">incidence matrix of a graph</a>. Specifically, let $V(i)$, $E(ij)$ and $T(ijk)$ denote the vertex, edge and triangle with the given vertex set. Then we have a linear map $D_1:\\mathbb{R}^e\\to\\mathbb{R}^v$ given on the basis vectors by:\n",
    "\n",
    "$$D_1(\\mathbf{e}_{E(ij)})=\\mathbf{e}_{V(j)}-\\mathbf{e}_{V(i)}$$\n",
    "\n",
    "and we identify $D_1\\in \\mathbb{R}^{v\\times e}$ with the matrix of this map. Similarly, we can record the incidence between triangles and edges by $D_2:\\mathbb{R}^t\\to\\mathbb{R}^e$:\n",
    "\n",
    "$$D_2(\\mathbf{e}_{T(ijk)})=\\mathbf{e}_{E(jk)}-\\mathbf{e}_{E(ik)}+\\mathbf{e}_{E(ij)}$$\n",
    "\n",
    "and let $D_2\\in \\mathbb{R}^{e\\times t}$ be its matrix. We refer to <a href=\"https://en.wikipedia.org/wiki/Simplicial_homology\">other sources</a> for more details. Note that matrices $D_1,D_2$ are extremely sparse - they have just two, resp. three, nonzeros in each column.\n",
    "\n",
    "### Shortest homologous cycle problem\n",
    "A *chain* (more precisely, *1-chain*) is just a vector $c\\in \\mathbb{R}^e$, that is an assignment of a real coefficient to every edge. If $c$ is an actual path or cycle in the graph, then these coefficients are $\\pm1$ for edges in the cycle, and $0$ otherwise, but more general chains are allowed. We will mostly concentrate on cycles.\n",
    "\n",
    "We can now formulate the following problem: given a cycle $c\\in\\mathbb{R}^e$, find the shortest cycle that detects the same topological features as $c$ (strictly speaking, the shortest cycle *homologous* to $c$). Suppose $w_1,\\ldots,w_e$ are the weights (lengths) of the edges.\n",
    "\n",
    "$$\n",
    "\\begin{array}{ll}\n",
    "\\textrm{minimize}   & \\sum_{i=1}^e w_i|x_i| \\\\\n",
    "\\textrm{subject to} & x-c=D_2y \\\\\n",
    "                    & x\\in\\mathbb{R}^e, y\\in\\mathbb{R}^t\n",
    "\\end{array}\n",
    "$$\n",
    "\n",
    "### Implementation\n",
    "This optimization problem can easily be formulated as a linear program. Below is the implementation of this program in a class `Surface`, which extends a Mosek Fusion `Model`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "#A model of a surface (or a more general 2D complex in 3D)\n",
    "class Surface:\n",
    "    #Initialize from plydata using edge weights given by metric\n",
    "    def __init__(self, plydata, metric):\n",
    "\n",
    "        ### Initialize basic data\n",
    "        self.v = plydata.elements[0].count                              # number of vertices\n",
    "        self.t = plydata.elements[1].count                              # number of triangles\n",
    "        self.coo = plydata['vertex']                                    # coordinates of vertices in 3D\n",
    "        self.xc, self.yc, self.zc = zip(*self.coo)\n",
    "        self.tri = [tuple(sorted(f[0])) for f in plydata['face']]       # list of triangles, as sorted triples of vertices\n",
    "        self.edg = list(set([tuple(sorted([f[i],f[j]]))                 # list of edges, as sorted pairs of vertices\n",
    "            for f in self.tri for i,j in [(0,1),(0,2),(1,2)]]))\n",
    "        self.e = len(self.edg)                                          # number of edges\n",
    "        self.wgh = [metric(self.coo[f[0]],self.coo[f[1]])               # weights of edges\n",
    "            for f in self.edg]\n",
    "\n",
    "        ### Homological algebra\n",
    "        # Construct the sparse matrix D2\n",
    "        d1 = [ (self.edg[i][k], i, sgn) for i in range(self.e) for k,sgn in [(1,+1),(0,-1)] ]\n",
    "        s1, s2, val = zip(*d1)\n",
    "        self.D1 = Matrix.sparse(self.v, self.e, list(s1), list(s2), list(val))\n",
    "        # Construct the sparse matrix D3\n",
    "        d2 = [ (self.edg.index((self.tri[i][k],self.tri[i][l])), i, sgn) \n",
    "            for i in range(self.t) for k,l,sgn in [(1,2,+1),(0,2,-1),(0,1,+1)] ]\n",
    "        s1, s2, val = zip(*d2)\n",
    "        self.D2 = Matrix.sparse(self.e, self.t, list(s1), list(s2), list(val))\n",
    "\n",
    "    #Plot the surface and a number of chains\n",
    "    def plot(self, chains=[], colors=[]):\n",
    "        fig = plt.figure()\n",
    "        ax = plt.axes(projection='3d',computed_zorder=False)\n",
    "        ax.plot_trisurf(self.xc, self.yc, self.zc, triangles=self.tri, linewidth=0.5, alpha=0.5, edgecolor='green')\n",
    "        i = 0\n",
    "        for C in chains:\n",
    "            for j in range(self.e):\n",
    "                if abs(C[j])>0.0001:\n",
    "                    # Extract the edge and plot with intensity depending on its coefficient in C\n",
    "                    xc,yc,zc = zip(*[ self.coo[self.edg[j][0]], self.coo[self.edg[j][1]] ])\n",
    "                    ax.plot(xc, yc, zc, color=colors[i], alpha=min(1,abs(C[j])), zorder=1)\n",
    "            i += 1\n",
    "        plt.axis('off')\n",
    "        plt.show()\n",
    "\n",
    "    #Find the shortest chain homologous to a given chain C\n",
    "    def short(self, C):\n",
    "        ### Set up a MOSEK Fusion model for solving shortest homologous cycles\n",
    "        with Model(\"short\") as M:\n",
    "            x    = M.variable(self.e, Domain.unbounded())                # the chain we are looking for\n",
    "            xabs = M.variable(self.e, Domain.unbounded())                # absolute value of x\n",
    "            y    = M.variable(self.t, Domain.unbounded())                # a 2-chain whose boundary is x-C\n",
    "\n",
    "            # -xabs <= x <= xabs\n",
    "            M.constraint(xabs >= x)\n",
    "            M.constraint(xabs >= -x)\n",
    "\n",
    "            # x - c = D2*y, so x-c is a boundary\n",
    "            M.constraint(x - C == self.D2 @ y)\n",
    "\n",
    "            # min weighted 1-norm of x\n",
    "            M.objective(ObjectiveSense.Minimize, xabs.T @ self.wgh)\n",
    "\n",
    "            # solve\n",
    "            M.solve()\n",
    "            return x.level()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The inititlization part processes the PLY description of the surface and initializes the sparse boundary matrices. Every time we optimize for the shortest cycle a new Fusion model is constructed and solved from the input data.\n",
    "\n",
    "### Example\n",
    "We predefined the yellow cycle on the mug, and Mosek finds the red cycle - its shortest topological equivalent."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](mug.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Indeed, if we again imagine the yellow loop is made out of rubber, then once it starts contracting it will reach its minimum length when it sits tightly around the mug's handle."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Detecting features\n",
    "OK, but what if we don't have any predefined cycle, and we would simply like to visualize all topological features on a given input surface using shortest possible loops? In general, this is a hard problem, for which some algorithms are known on surfaces. However, we can use our model to try a more pedestrian approach, which is not perfect, but often good enough for visualization.\n",
    "\n",
    "Without going into too much algebra, the space of features on the surface can be identified with the nullspace of the matrix $$A=\\left[\\begin{array}{l} D_1 \\\\ D_2^T\\end{array}\\right]$$ (for the experts, we are now computing first homology with real coefficients). This can be easily found using singular value decomposition:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Find the basis for the nullspace of a matrix\n",
    "def nullspace(A):\n",
    "    u, s, vh = np.linalg.svd(A)\n",
    "    nnz = (s >= 1e-13).sum()\n",
    "    ns = vh[nnz:].conj().T\n",
    "    return ns, ns.shape[1]\n",
    "\n",
    "def homology(S):\n",
    "    return nullspace(np.reshape(\n",
    "        np.concatenate((S.D1.getDataAsArray(), S.D2.transpose().getDataAsArray())),\n",
    "        [S.v+S.t, S.e]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For an orientable surface the dimension of the nullspace of $A$ equals $2g$, where $g$ is the <a href=\"https://en.wikipedia.org/wiki/Genus_(mathematics)\">genus</a>, or the number of holes. For example, the torus has one hole and two essential features: the parallel and the meridian cycle.\n",
    "\n",
    "Since the SVD decomposition is oblivious to the underlying geometry, the chains it returns are typically dense vectors with real coordinates, not very useful for visualization. However, we can replace them with their shortest equivalents and see if they are any better. It turns out in practice they often are. To make this easier to see we also normalize so that the maximal coefficient of each chain is 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox   6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox   6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Normalize a chain so that l_\\infty norm is 1\n",
    "def normalize(C):\n",
    "    return C/max(abs(C))\n",
    "\n",
    "S = Surface(getExample('torus.ply'), euclideanM)\n",
    "generators, betti1 = homology(S)\n",
    "\n",
    "G = [ normalize(generators[:,i]) for i in range(betti1) ]\n",
    "GS= [ normalize(S.short(g)) for g in G ]\n",
    "\n",
    "for i in range(betti1):\n",
    "    S.plot([G[i], GS[i]], ['yellow', 'red'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The two projections of the torus do not reveal where the holes are. In yellow we see the dense cycles found by SVD.  Their shortest homologous red versions make this a bit more clear. For example, the coil-shaped part of the first cycle clearly detects the hole in the middle of the torus.\n",
    "\n",
    "Here is an example of this on a more complicated surface."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of features: 6\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox   6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox   6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "S = Surface(getExample('surface.ply'), euclideanM)\n",
    "generators, betti1 = homology(S)\n",
    "print(\"Number of features: {0}\".format(betti1))\n",
    "\n",
    "G = [ normalize(generators[:,i]) for i in range(betti1) ]\n",
    "for i in [2,5]:\n",
    "    S.plot([G[i], normalize(S.short(G[i]))], ['yellow', 'red'])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "<br />This work is licensed under a <a rel=\"license\" href=\"https://www.gnu.org/licenses/gpl-3.0.en.html\">GNU GPL Version 3 License</a>. The **MOSEK** logo and name are trademarks of <a href=\"http://mosek.com\">Mosek ApS</a>. The code is provided as-is. Compatibility with future release of **MOSEK** or the `Fusion API` are not guaranteed. For more information contact our [support](mailto:support@mosek.com). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}