index.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# `PyNeuronToolbox` example usage\n",
    "\n",
    "[**Alex Williams**](http://alexhwilliams.info)\n",
    "\n",
    "This ipython notebook demonstrates how to use [PyNeuron Toolbox](https://github.com/ahwillia/PyNeuron-Toolbox/), along with the [NEURON](http://www.neuron.yale.edu/neuron/) python module, to visualize the propogation of an action potential down an axon and in a model with realistic morphology. NEURON allows you to make visualizations like this with \"shape plots\" (see this tutorial). This demo will show you how to use PyNeuron Toolbox to make similar plots directly in python.\n",
    "\n",
    "#### First example: Hodgkin-Huxley model in a cable\n",
    "\n",
    "We'll run a short simulation of a cable with Hodgkin-Huxley currents. The details for running NEURON simulations in python can be found in [Hines et al. (2009)](http://journal.frontiersin.org/Journal/10.3389/neuro.11.001.2009/abstract).\n",
    "\n",
    "We will use two functions from PyNeuron Toolbox, `ez_record` and `ez_convert`, to quickly record the membrane potential in all compartments of our cell. Using these functions is completely optional to making shape plots. Briefly, `ez_record` records the membrane potential for all compartments, and `ez_convert` converts all the `h.Vector()` objects into numpy arrays. The result is a matrix v whose columns are the membrane potential traces for all compartments (the labels for each compartment are returned by `record_v` for reference). These functions can also be used to record other common state variables in Neuron, such as the intracellular calcium concentration.\n",
    "\n",
    "#### Second example: Realistic CA1 morphology\n",
    "\n",
    "We'll visualize changes in membrane potential across a neuron with realistic morophology [(Migliore et al., 2005)](http://senselab.med.yale.edu/ModelDB/ShowModel.cshtml?model=55035&file=/obliques/geo5038804.hoc). For simplicity we populate this model with the Hodgkin-Huxley sodium and potassium channel models. This is not realistic. But it illustrates the plotting capabilities of this toolbox.\n",
    "In addition, the code shows how to use the function `mark_locations` from the morphology toolbox to indicate the location for our current injection.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Simulate Hodgkin-Huxley model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Available matplotlib backends: ['osx', 'qt4', 'qt5', 'gtk3', 'notebook', 'wx', 'qt', 'nbagg', 'agg', 'gtk', 'tk', 'ipympl', 'inline']\n"
     ]
    }
   ],
   "source": [
    "from __future__ import division\n",
    "from neuron import h\n",
    "import numpy as np\n",
    "\n",
    "# list plotting backends and choose suitable one\n",
    "%matplotlib --list\n",
    "%matplotlib notebook\n",
    "\n",
    "# must import matplotlib AFTER setting backend\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# PyNeuronToolbox imports\n",
    "from PyNeuronToolbox.record import ez_record, ez_convert\n",
    "\n",
    "# create model\n",
    "h.load_file('stdrun.hoc')\n",
    "cell = h.Section()\n",
    "\n",
    "cell.nseg = 11   # It is a good idea to have nseg be an odd number\n",
    "cell.Ra = 35.4   # Ohm*cm\n",
    "\n",
    "cell.insert('hh')\n",
    "\n",
    "# create 3d structure\n",
    "h.pt3dadd(0,0,0,1.0,sec=cell)\n",
    "h.pt3dadd(1732,1732,1732,1.0,sec=cell)\n",
    "\n",
    "# Specify current injection\n",
    "stim = h.IClamp(1.0,sec=cell)\n",
    "stim.delay = 1   # ms\n",
    "stim.dur = 100   # ms\n",
    "stim.amp = 0.2   # nA\n",
    "\n",
    "# Segment positions, equall spaced from 0 to 1\n",
    "seg_positions = np.linspace(0,1,cell.nseg)\n",
    "\n",
    "# Use toolbox to record v\n",
    "# ez_record records v in all compartments by default\n",
    "(v,v_labels) = ez_record(h)\n",
    "\n",
    "# Manually record time and current\n",
    "t, I = h.Vector(), h.Vector()\n",
    "t.record(h._ref_t)\n",
    "I.record(stim._ref_i)\n",
    "\n",
    "# Run the simulation \n",
    "h.init()\n",
    "h.tstop = 25\n",
    "h.run()\n",
    "\n",
    "# Use toolbox convert v into a numpy 2D array\n",
    "v = ez_convert(v) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create a 3D plot showing the morphology"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "    this.context = canvas[0].getContext(\"2d\");\n",
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       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
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       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
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       "\n",
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       "\n",
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       "\n",
       "\n",
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       "\n",
       "\n",
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       "        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",
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       "\n",
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       "}\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",
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       "        break;\n",
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       "    }\n",
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       "}\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",
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       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"598\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from PyNeuronToolbox.morphology import shapeplot\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "\n",
    "# Plot shapeplot\n",
    "plt.figure(figsize=(6,6))\n",
    "shapeax = plt.subplot(111, projection='3d')\n",
    "shapeplot(h,shapeax,lw=4)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3D animation showing propagation of action potentials  down cable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"600\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.animation.FuncAnimation at 0x7fac3f672c10>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Animation imports\n",
    "from matplotlib import animation\n",
    "\n",
    "# PyNeuronToolbox function for easy animation\n",
    "from PyNeuronToolbox.morphology import shapeplot_animate\n",
    "\n",
    "# Plot shapeplot (as above)\n",
    "fig = plt.figure(figsize=(6,6))\n",
    "shapeax = plt.subplot(111, projection='3d')\n",
    "shapelines = shapeplot(h,shapeax,lw=4)\n",
    "\n",
    "# Make the animation\n",
    "nframes = 100\n",
    "shape_animate = shapeplot_animate(v,shapelines,nframes)\n",
    "animation.FuncAnimation(fig, shape_animate, frames=nframes, interval=40, blit=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fancier animation, showing voltage traces and 3D shapeplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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\" width=\"942\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.animation.FuncAnimation at 0x7fac3d671c50>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(14,10))\n",
    "\n",
    "# Plot voltage trace for each segment\n",
    "lines = []\n",
    "for i in range(1,cell.nseg+1):\n",
    "    plt.subplot(cell.nseg+1,2,2*(cell.nseg+1-i)-1)\n",
    "    line, = plt.plot([], [], lw=2)\n",
    "    lines.append(line)\n",
    "    plt.ylim([-80,60])\n",
    "    plt.xlim([0,h.tstop])\n",
    "    plt.yticks(np.arange(-80,60,50))\n",
    "    plt.ylabel('v (mV)', fontweight='bold')\n",
    "    plt.xticks(np.arange(0,h.tstop,5))\n",
    "    plt.setp(plt.gca().get_xticklabels(), visible=False)\n",
    "\n",
    "# Plot injected current in bottom trace\n",
    "plt.subplot(cell.nseg+1,2,2*cell.nseg+1)\n",
    "line, = plt.plot([], [], '-r', lw=2)\n",
    "lines.append(line)\n",
    "plt.xlim([0,h.tstop])\n",
    "plt.ylim([-0.05,0.3])\n",
    "plt.yticks([0, 0.2])\n",
    "plt.xlabel('t (ms)', fontweight='bold')\n",
    "plt.ylabel('i (nA)', fontweight='bold')\n",
    "\n",
    "# Plot shapeplot\n",
    "shapeax = plt.subplot(1,2,2, projection='3d')\n",
    "shapelines = shapeplot(h,shapeax,lw=4)\n",
    "\n",
    "# convert 't' and 'i' to lists\n",
    "t = t.to_python()\n",
    "I = I.to_python()\n",
    "\n",
    "# Animate function -- reveal traces, and animate shape plot\n",
    "def animate(i):\n",
    "    # Animate the shape plot\n",
    "    shape_animate(i)\n",
    "    \n",
    "    # Add additional animations\n",
    "    i_t = int((i/nframes)*v.shape[0])\n",
    "    for s in range(v.shape[1]):\n",
    "        lines[s].set_data(t[0:i_t], v[0:i_t,s])  # voltage traces\n",
    "    lines[-1].set_data(t[0:i_t], I[0:i_t])       # current trace\n",
    "\n",
    "# Make animation\n",
    "nframes = 100\n",
    "shape_animate = shapeplot_animate(v,shapelines,nframes)\n",
    "animation.FuncAnimation(fig, animate, frames=nframes, interval=40, blit=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Similar example in more complex morphology"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 "
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"700\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%reset -f\n",
    "from __future__ import division\n",
    "from neuron import h\n",
    "import numpy as np\n",
    "import pylab as plt\n",
    "from PyNeuronToolbox.morphology import shapeplot\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "\n",
    "# Load morphology from file\n",
    "h('xopen(\"geo5038804.hoc\")')\n",
    "\n",
    "# Plot shapeplot\n",
    "plt.figure(figsize=(7,7))\n",
    "shapeax = plt.subplot(111, projection='3d')\n",
    "shapeax.view_init(75,66)\n",
    "shapeplot(h,shapeax)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from PyNeuronToolbox.record import ez_record, ez_convert\n",
    "\n",
    "h.load_file('stdrun.hoc')\n",
    "\n",
    "seclist = list(h.allsec())\n",
    "\n",
    "for sec in seclist:\n",
    "    sec.insert('hh')\n",
    "    sec.Ra = 200.0\n",
    "\n",
    "# Specify current injection\n",
    "stim_sec = seclist[0]\n",
    "stim_loc = 0.0\n",
    "stim = h.IClamp(stim_loc,sec=stim_sec)\n",
    "stim.delay = 0  # ms\n",
    "stim.dur = 1    # ms\n",
    "stim.amp = 20   # nA\n",
    "\n",
    "# Use toolbox to record v\n",
    "# ez_record records v in all compartments by default\n",
    "(v,labels) = ez_record(h)\n",
    "\n",
    "# Manually record time and current\n",
    "t, I = h.Vector(), h.Vector()\n",
    "t.record(h._ref_t)\n",
    "I.record(stim._ref_i)\n",
    "\n",
    "# Run the simulation \n",
    "h.init()\n",
    "h.tstop = 10\n",
    "h.run()\n",
    "\n",
    "# Use toolbox convert v into a numpy 2D array\n",
    "v = ez_convert(v) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3D animation showing spread of action potential"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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width=\"700\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.animation.FuncAnimation at 0x7fac3d07b790>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Animation imports\n",
    "from matplotlib import animation\n",
    "\n",
    "# PyNeuronToolbox imports\n",
    "from PyNeuronToolbox.morphology import shapeplot_animate, mark_locations\n",
    "\n",
    "# Plot shapeplot (as above)\n",
    "fig = plt.figure(figsize=(7,7))\n",
    "shapeax = plt.subplot(111, projection='3d')\n",
    "shapeax.view_init(75,66)\n",
    "shapelines = shapeplot(h,shapeax)\n",
    "plt.title('Current Injected at Red Dot',fontweight='bold')\n",
    "\n",
    "# Now mark the location of our stimulation\n",
    "mark_locations(h,stim_sec,stim_loc)\n",
    "\n",
    "# Make the animation\n",
    "nframes = 100\n",
    "shape_animate = shapeplot_animate(v,shapelines,nframes)\n",
    "animation.FuncAnimation(fig, shape_animate, frames=nframes, interval=40, blit=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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