From 6989836b88668c12515215be48796a0f55d71848 Mon Sep 17 00:00:00 2001
From: vand <vand@dtu.dk>
Date: Mon, 27 Apr 2020 01:58:53 +0200
Subject: [PATCH] Delete StructureTensor3D_Examples-checkpoint.ipynb

---
 ...tructureTensor3D_Examples-checkpoint.ipynb | 4204 -----------------
 1 file changed, 4204 deletions(-)
 delete mode 100644 .ipynb_checkpoints/StructureTensor3D_Examples-checkpoint.ipynb

diff --git a/.ipynb_checkpoints/StructureTensor3D_Examples-checkpoint.ipynb b/.ipynb_checkpoints/StructureTensor3D_Examples-checkpoint.ipynb
deleted file mode 100644
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--- a/.ipynb_checkpoints/StructureTensor3D_Examples-checkpoint.ipynb
+++ /dev/null
@@ -1,4204 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 3D structure tensor - a small example\n",
-    "A small example demonstrating the use of 3D structure tensor for visualizing and clustering dominant orientation. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%matplotlib notebook\n",
-    "import numpy as np\n",
-    "import scipy.io\n",
-    "import st3d"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Reading the data\n",
-    "\n",
-    "The data is a small cube from a volumetric image og fibre composite. The cube contains five bundles in layers: UD fibre (0 deg), crossing fibre (45 deg), 90 deg fibre, -45 deg bundle, UD bundle (0 deg)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(150, 150, 150)\n"
-     ]
-    }
-   ],
-   "source": [
-    "volume = scipy.io.loadmat('example_data_3D/multi_cube.mat')['vol']\n",
-    "print(volume.shape)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Computing the structure tensor and the dominant orientation\n",
-    "Computation of structure tensor requires only two parameters: the noise scale sigma and the integration scale rho. Parameter sigma controls smothing while computing gradientes, and structures smaller than sigma will be removed by smoothing. Parameter rho gives the size over the neighborhood in which the orientation is to be analysed for every volume voxel. Larger rho will result in a smoother orientation field.\n",
-    "\n",
-    "Structure tensor is a 3x3 matrix, but as it is symmetrical we only carry values of 6 elements: $s_{xx}$, $s_{yy}$, $s_{zz}$, $s_{xy}$, $s_{xz}$ and $s_{yz}$.\n",
-    "\n",
-    "Eigenvalues (val) carry the information about the degree of anisotropy - this is not used or visualized here. Eigenvectors (vec) carry the orientation information, as $x$, $y$, and $z$ component of the orientation vector."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The volume has a shape (150, 150, 150), i.e. 3375000 voxels.\n",
-      "Structure tensor information is carried in a (6, 3375000) array.\n",
-      "Orientation information is carried in a (3, 3375000) array.\n"
-     ]
-    }
-   ],
-   "source": [
-    "sigma = 0.5; # noise scale\n",
-    "rho = 2; # integration scale\n",
-    "S = st3d.structure_tensor(volume, sigma, rho)\n",
-    "val,vec = st3d.eig_special(S)\n",
-    "print(f'The volume has a shape {volume.shape}, i.e. {volume.size} voxels.')\n",
-    "print(f'Structure tensor information is carried in a {S.shape} array.')\n",
-    "print(f'Orientation information is carried in a {vec.shape} array.')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Visualizing the dominant orientation\n",
-    "Here we show only dominant orientation, ignoring shape measures. \n",
-    "\n",
-    "Since slicng is in $z$ direction, the arrows show $x$ and $y$ component of orientation vectors, on top of every slice.\n",
-    "\n",
-    "To interactively inspect the volume use arrow keys."
-   ]
-  },
-  {
-   "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",
-       "        fig.ws.close();\n",
-       "    }\n",
-       "\n",
-       "    this.ws.onmessage = this._make_on_message_function(this);\n",
-       "\n",
-       "    this.ondownload = ondownload;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_header = function() {\n",
-       "    var titlebar = $(\n",
-       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
-       "        'ui-helper-clearfix\"/>');\n",
-       "    var titletext = $(\n",
-       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
-       "        'text-align: center; padding: 3px;\"/>');\n",
-       "    titlebar.append(titletext)\n",
-       "    this.root.append(titlebar);\n",
-       "    this.header = titletext[0];\n",
-       "}\n",
-       "\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
-       "\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
-       "\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_canvas = function() {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var canvas_div = $('<div/>');\n",
-       "\n",
-       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
-       "\n",
-       "    function canvas_keyboard_event(event) {\n",
-       "        return fig.key_event(event, event['data']);\n",
-       "    }\n",
-       "\n",
-       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
-       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
-       "    this.canvas_div = canvas_div\n",
-       "    this._canvas_extra_style(canvas_div)\n",
-       "    this.root.append(canvas_div);\n",
-       "\n",
-       "    var canvas = $('<canvas/>');\n",
-       "    canvas.addClass('mpl-canvas');\n",
-       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
-       "\n",
-       "    this.canvas = canvas[0];\n",
-       "    this.context = canvas[0].getContext(\"2d\");\n",
-       "\n",
-       "    var backingStore = this.context.backingStorePixelRatio ||\n",
-       "\tthis.context.webkitBackingStorePixelRatio ||\n",
-       "\tthis.context.mozBackingStorePixelRatio ||\n",
-       "\tthis.context.msBackingStorePixelRatio ||\n",
-       "\tthis.context.oBackingStorePixelRatio ||\n",
-       "\tthis.context.backingStorePixelRatio || 1;\n",
-       "\n",
-       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
-       "\n",
-       "    var rubberband = $('<canvas/>');\n",
-       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
-       "\n",
-       "    var pass_mouse_events = true;\n",
-       "\n",
-       "    canvas_div.resizable({\n",
-       "        start: function(event, ui) {\n",
-       "            pass_mouse_events = false;\n",
-       "        },\n",
-       "        resize: function(event, ui) {\n",
-       "            fig.request_resize(ui.size.width, ui.size.height);\n",
-       "        },\n",
-       "        stop: function(event, ui) {\n",
-       "            pass_mouse_events = true;\n",
-       "            fig.request_resize(ui.size.width, ui.size.height);\n",
-       "        },\n",
-       "    });\n",
-       "\n",
-       "    function mouse_event_fn(event) {\n",
-       "        if (pass_mouse_events)\n",
-       "            return fig.mouse_event(event, event['data']);\n",
-       "    }\n",
-       "\n",
-       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
-       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
-       "    // Throttle sequential mouse events to 1 every 20ms.\n",
-       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
-       "\n",
-       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
-       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
-       "\n",
-       "    canvas_div.on(\"wheel\", function (event) {\n",
-       "        event = event.originalEvent;\n",
-       "        event['data'] = 'scroll'\n",
-       "        if (event.deltaY < 0) {\n",
-       "            event.step = 1;\n",
-       "        } else {\n",
-       "            event.step = -1;\n",
-       "        }\n",
-       "        mouse_event_fn(event);\n",
-       "    });\n",
-       "\n",
-       "    canvas_div.append(canvas);\n",
-       "    canvas_div.append(rubberband);\n",
-       "\n",
-       "    this.rubberband = rubberband;\n",
-       "    this.rubberband_canvas = rubberband[0];\n",
-       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
-       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
-       "\n",
-       "    this._resize_canvas = function(width, height) {\n",
-       "        // Keep the size of the canvas, canvas container, and rubber band\n",
-       "        // canvas in synch.\n",
-       "        canvas_div.css('width', width)\n",
-       "        canvas_div.css('height', height)\n",
-       "\n",
-       "        canvas.attr('width', width * mpl.ratio);\n",
-       "        canvas.attr('height', height * mpl.ratio);\n",
-       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
-       "\n",
-       "        rubberband.attr('width', width);\n",
-       "        rubberband.attr('height', height);\n",
-       "    }\n",
-       "\n",
-       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
-       "    // upon first draw.\n",
-       "    this._resize_canvas(600, 600);\n",
-       "\n",
-       "    // Disable right mouse context menu.\n",
-       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
-       "        return false;\n",
-       "    });\n",
-       "\n",
-       "    function set_focus () {\n",
-       "        canvas.focus();\n",
-       "        canvas_div.focus();\n",
-       "    }\n",
-       "\n",
-       "    window.setTimeout(set_focus, 100);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_toolbar = function() {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var nav_element = $('<div/>');\n",
-       "    nav_element.attr('style', 'width: 100%');\n",
-       "    this.root.append(nav_element);\n",
-       "\n",
-       "    // Define a callback function for later on.\n",
-       "    function toolbar_event(event) {\n",
-       "        return fig.toolbar_button_onclick(event['data']);\n",
-       "    }\n",
-       "    function toolbar_mouse_event(event) {\n",
-       "        return fig.toolbar_button_onmouseover(event['data']);\n",
-       "    }\n",
-       "\n",
-       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
-       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
-       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
-       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
-       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
-       "\n",
-       "        if (!name) {\n",
-       "            // put a spacer in here.\n",
-       "            continue;\n",
-       "        }\n",
-       "        var button = $('<button/>');\n",
-       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
-       "                        'ui-button-icon-only');\n",
-       "        button.attr('role', 'button');\n",
-       "        button.attr('aria-disabled', 'false');\n",
-       "        button.click(method_name, toolbar_event);\n",
-       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
-       "\n",
-       "        var icon_img = $('<span/>');\n",
-       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
-       "        icon_img.addClass(image);\n",
-       "        icon_img.addClass('ui-corner-all');\n",
-       "\n",
-       "        var tooltip_span = $('<span/>');\n",
-       "        tooltip_span.addClass('ui-button-text');\n",
-       "        tooltip_span.html(tooltip);\n",
-       "\n",
-       "        button.append(icon_img);\n",
-       "        button.append(tooltip_span);\n",
-       "\n",
-       "        nav_element.append(button);\n",
-       "    }\n",
-       "\n",
-       "    var fmt_picker_span = $('<span/>');\n",
-       "\n",
-       "    var fmt_picker = $('<select/>');\n",
-       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
-       "    fmt_picker_span.append(fmt_picker);\n",
-       "    nav_element.append(fmt_picker_span);\n",
-       "    this.format_dropdown = fmt_picker[0];\n",
-       "\n",
-       "    for (var ind in mpl.extensions) {\n",
-       "        var fmt = mpl.extensions[ind];\n",
-       "        var option = $(\n",
-       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
-       "        fmt_picker.append(option);\n",
-       "    }\n",
-       "\n",
-       "    // Add hover states to the ui-buttons\n",
-       "    $( \".ui-button\" ).hover(\n",
-       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
-       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
-       "    );\n",
-       "\n",
-       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
-       "    nav_element.append(status_bar);\n",
-       "    this.message = status_bar[0];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
-       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
-       "    // which will in turn request a refresh of the image.\n",
-       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.send_message = function(type, properties) {\n",
-       "    properties['type'] = type;\n",
-       "    properties['figure_id'] = this.id;\n",
-       "    this.ws.send(JSON.stringify(properties));\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.send_draw_message = function() {\n",
-       "    if (!this.waiting) {\n",
-       "        this.waiting = true;\n",
-       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
-       "    }\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
-       "    var format_dropdown = fig.format_dropdown;\n",
-       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
-       "    fig.ondownload(fig, format);\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
-       "    var size = msg['size'];\n",
-       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
-       "        fig._resize_canvas(size[0], size[1]);\n",
-       "        fig.send_message(\"refresh\", {});\n",
-       "    };\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
-       "    var x0 = msg['x0'] / mpl.ratio;\n",
-       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
-       "    var x1 = msg['x1'] / mpl.ratio;\n",
-       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
-       "    x0 = Math.floor(x0) + 0.5;\n",
-       "    y0 = Math.floor(y0) + 0.5;\n",
-       "    x1 = Math.floor(x1) + 0.5;\n",
-       "    y1 = Math.floor(y1) + 0.5;\n",
-       "    var min_x = Math.min(x0, x1);\n",
-       "    var min_y = Math.min(y0, y1);\n",
-       "    var width = Math.abs(x1 - x0);\n",
-       "    var height = Math.abs(y1 - y0);\n",
-       "\n",
-       "    fig.rubberband_context.clearRect(\n",
-       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
-       "\n",
-       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
-       "    // Updates the figure title.\n",
-       "    fig.header.textContent = msg['label'];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
-       "    var cursor = msg['cursor'];\n",
-       "    switch(cursor)\n",
-       "    {\n",
-       "    case 0:\n",
-       "        cursor = 'pointer';\n",
-       "        break;\n",
-       "    case 1:\n",
-       "        cursor = 'default';\n",
-       "        break;\n",
-       "    case 2:\n",
-       "        cursor = 'crosshair';\n",
-       "        break;\n",
-       "    case 3:\n",
-       "        cursor = 'move';\n",
-       "        break;\n",
-       "    }\n",
-       "    fig.rubberband_canvas.style.cursor = cursor;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
-       "    fig.message.textContent = msg['message'];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
-       "    // Request the server to send over a new figure.\n",
-       "    fig.send_draw_message();\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
-       "    fig.image_mode = msg['mode'];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.updated_canvas_event = function() {\n",
-       "    // Called whenever the canvas gets updated.\n",
-       "    this.send_message(\"ack\", {});\n",
-       "}\n",
-       "\n",
-       "// A function to construct a web socket function for onmessage handling.\n",
-       "// Called in the figure constructor.\n",
-       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
-       "    return function socket_on_message(evt) {\n",
-       "        if (evt.data instanceof Blob) {\n",
-       "            /* FIXME: We get \"Resource interpreted as Image but\n",
-       "             * transferred with MIME type text/plain:\" errors on\n",
-       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
-       "             * to be part of the websocket stream */\n",
-       "            evt.data.type = \"image/png\";\n",
-       "\n",
-       "            /* Free the memory for the previous frames */\n",
-       "            if (fig.imageObj.src) {\n",
-       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
-       "                    fig.imageObj.src);\n",
-       "            }\n",
-       "\n",
-       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
-       "                evt.data);\n",
-       "            fig.updated_canvas_event();\n",
-       "            fig.waiting = false;\n",
-       "            return;\n",
-       "        }\n",
-       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
-       "            fig.imageObj.src = evt.data;\n",
-       "            fig.updated_canvas_event();\n",
-       "            fig.waiting = false;\n",
-       "            return;\n",
-       "        }\n",
-       "\n",
-       "        var msg = JSON.parse(evt.data);\n",
-       "        var msg_type = msg['type'];\n",
-       "\n",
-       "        // Call the  \"handle_{type}\" callback, which takes\n",
-       "        // the figure and JSON message as its only arguments.\n",
-       "        try {\n",
-       "            var callback = fig[\"handle_\" + msg_type];\n",
-       "        } catch (e) {\n",
-       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
-       "            return;\n",
-       "        }\n",
-       "\n",
-       "        if (callback) {\n",
-       "            try {\n",
-       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
-       "                callback(fig, msg);\n",
-       "            } catch (e) {\n",
-       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
-       "            }\n",
-       "        }\n",
-       "    };\n",
-       "}\n",
-       "\n",
-       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
-       "mpl.findpos = function(e) {\n",
-       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
-       "    var targ;\n",
-       "    if (!e)\n",
-       "        e = window.event;\n",
-       "    if (e.target)\n",
-       "        targ = e.target;\n",
-       "    else if (e.srcElement)\n",
-       "        targ = e.srcElement;\n",
-       "    if (targ.nodeType == 3) // defeat Safari bug\n",
-       "        targ = targ.parentNode;\n",
-       "\n",
-       "    // jQuery normalizes the pageX and pageY\n",
-       "    // pageX,Y are the mouse positions relative to the document\n",
-       "    // offset() returns the position of the element relative to the document\n",
-       "    var x = e.pageX - $(targ).offset().left;\n",
-       "    var y = e.pageY - $(targ).offset().top;\n",
-       "\n",
-       "    return {\"x\": x, \"y\": y};\n",
-       "};\n",
-       "\n",
-       "/*\n",
-       " * return a copy of an object with only non-object keys\n",
-       " * we need this to avoid circular references\n",
-       " * http://stackoverflow.com/a/24161582/3208463\n",
-       " */\n",
-       "function simpleKeys (original) {\n",
-       "  return Object.keys(original).reduce(function (obj, key) {\n",
-       "    if (typeof original[key] !== 'object')\n",
-       "        obj[key] = original[key]\n",
-       "    return obj;\n",
-       "  }, {});\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
-       "    var canvas_pos = mpl.findpos(event)\n",
-       "\n",
-       "    if (name === 'button_press')\n",
-       "    {\n",
-       "        this.canvas.focus();\n",
-       "        this.canvas_div.focus();\n",
-       "    }\n",
-       "\n",
-       "    var x = canvas_pos.x * mpl.ratio;\n",
-       "    var y = canvas_pos.y * mpl.ratio;\n",
-       "\n",
-       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
-       "                             step: event.step,\n",
-       "                             guiEvent: simpleKeys(event)});\n",
-       "\n",
-       "    /* This prevents the web browser from automatically changing to\n",
-       "     * the text insertion cursor when the button is pressed.  We want\n",
-       "     * to control all of the cursor setting manually through the\n",
-       "     * 'cursor' event from matplotlib */\n",
-       "    event.preventDefault();\n",
-       "    return false;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
-       "    // Handle any extra behaviour associated with a key event\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.key_event = function(event, name) {\n",
-       "\n",
-       "    // Prevent repeat events\n",
-       "    if (name == 'key_press')\n",
-       "    {\n",
-       "        if (event.which === this._key)\n",
-       "            return;\n",
-       "        else\n",
-       "            this._key = event.which;\n",
-       "    }\n",
-       "    if (name == 'key_release')\n",
-       "        this._key = null;\n",
-       "\n",
-       "    var value = '';\n",
-       "    if (event.ctrlKey && event.which != 17)\n",
-       "        value += \"ctrl+\";\n",
-       "    if (event.altKey && event.which != 18)\n",
-       "        value += \"alt+\";\n",
-       "    if (event.shiftKey && event.which != 16)\n",
-       "        value += \"shift+\";\n",
-       "\n",
-       "    value += 'k';\n",
-       "    value += event.which.toString();\n",
-       "\n",
-       "    this._key_event_extra(event, name);\n",
-       "\n",
-       "    this.send_message(name, {key: value,\n",
-       "                             guiEvent: simpleKeys(event)});\n",
-       "    return false;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
-       "    if (name == 'download') {\n",
-       "        this.handle_save(this, null);\n",
-       "    } else {\n",
-       "        this.send_message(\"toolbar_button\", {name: name});\n",
-       "    }\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
-       "    this.message.textContent = tooltip;\n",
-       "};\n",
-       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
-       "\n",
-       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
-       "\n",
-       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
-       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
-       "    // object with the appropriate methods. Currently this is a non binary\n",
-       "    // socket, so there is still some room for performance tuning.\n",
-       "    var ws = {};\n",
-       "\n",
-       "    ws.close = function() {\n",
-       "        comm.close()\n",
-       "    };\n",
-       "    ws.send = function(m) {\n",
-       "        //console.log('sending', m);\n",
-       "        comm.send(m);\n",
-       "    };\n",
-       "    // Register the callback with on_msg.\n",
-       "    comm.on_msg(function(msg) {\n",
-       "        //console.log('receiving', msg['content']['data'], msg);\n",
-       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
-       "        ws.onmessage(msg['content']['data'])\n",
-       "    });\n",
-       "    return ws;\n",
-       "}\n",
-       "\n",
-       "mpl.mpl_figure_comm = function(comm, msg) {\n",
-       "    // This is the function which gets called when the mpl process\n",
-       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
-       "\n",
-       "    var id = msg.content.data.id;\n",
-       "    // Get hold of the div created by the display call when the Comm\n",
-       "    // socket was opened in Python.\n",
-       "    var element = $(\"#\" + id);\n",
-       "    var ws_proxy = comm_websocket_adapter(comm)\n",
-       "\n",
-       "    function ondownload(figure, format) {\n",
-       "        window.open(figure.imageObj.src);\n",
-       "    }\n",
-       "\n",
-       "    var fig = new mpl.figure(id, ws_proxy,\n",
-       "                           ondownload,\n",
-       "                           element.get(0));\n",
-       "\n",
-       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
-       "    // web socket which is closed, not our websocket->open comm proxy.\n",
-       "    ws_proxy.onopen();\n",
-       "\n",
-       "    fig.parent_element = element.get(0);\n",
-       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
-       "    if (!fig.cell_info) {\n",
-       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
-       "        return;\n",
-       "    }\n",
-       "\n",
-       "    var output_index = fig.cell_info[2]\n",
-       "    var cell = fig.cell_info[0];\n",
-       "\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
-       "    var width = fig.canvas.width/mpl.ratio\n",
-       "    fig.root.unbind('remove')\n",
-       "\n",
-       "    // Update the output cell to use the data from the current canvas.\n",
-       "    fig.push_to_output();\n",
-       "    var dataURL = fig.canvas.toDataURL();\n",
-       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
-       "    // the notebook keyboard shortcuts fail.\n",
-       "    IPython.keyboard_manager.enable()\n",
-       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
-       "    fig.close_ws(fig, msg);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
-       "    fig.send_message('closing', msg);\n",
-       "    // fig.ws.close()\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
-       "    // Turn the data on the canvas into data in the output cell.\n",
-       "    var width = this.canvas.width/mpl.ratio\n",
-       "    var dataURL = this.canvas.toDataURL();\n",
-       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.updated_canvas_event = function() {\n",
-       "    // Tell IPython that the notebook contents must change.\n",
-       "    IPython.notebook.set_dirty(true);\n",
-       "    this.send_message(\"ack\", {});\n",
-       "    var fig = this;\n",
-       "    // Wait a second, then push the new image to the DOM so\n",
-       "    // that it is saved nicely (might be nice to debounce this).\n",
-       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_toolbar = function() {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var nav_element = $('<div/>');\n",
-       "    nav_element.attr('style', 'width: 100%');\n",
-       "    this.root.append(nav_element);\n",
-       "\n",
-       "    // Define a callback function for later on.\n",
-       "    function toolbar_event(event) {\n",
-       "        return fig.toolbar_button_onclick(event['data']);\n",
-       "    }\n",
-       "    function toolbar_mouse_event(event) {\n",
-       "        return fig.toolbar_button_onmouseover(event['data']);\n",
-       "    }\n",
-       "\n",
-       "    for(var toolbar_ind in mpl.toolbar_items){\n",
-       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
-       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
-       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
-       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
-       "\n",
-       "        if (!name) { continue; };\n",
-       "\n",
-       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
-       "        button.click(method_name, toolbar_event);\n",
-       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
-       "        nav_element.append(button);\n",
-       "    }\n",
-       "\n",
-       "    // Add the status bar.\n",
-       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
-       "    nav_element.append(status_bar);\n",
-       "    this.message = status_bar[0];\n",
-       "\n",
-       "    // Add the close button to the window.\n",
-       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
-       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
-       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
-       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
-       "    buttongrp.append(button);\n",
-       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
-       "    titlebar.prepend(buttongrp);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._root_extra_style = function(el){\n",
-       "    var fig = this\n",
-       "    el.on(\"remove\", function(){\n",
-       "\tfig.close_ws(fig, {});\n",
-       "    });\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
-       "    // this is important to make the div 'focusable\n",
-       "    el.attr('tabindex', 0)\n",
-       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
-       "    // off when our div gets focus\n",
-       "\n",
-       "    // location in version 3\n",
-       "    if (IPython.notebook.keyboard_manager) {\n",
-       "        IPython.notebook.keyboard_manager.register_events(el);\n",
-       "    }\n",
-       "    else {\n",
-       "        // location in version 2\n",
-       "        IPython.keyboard_manager.register_events(el);\n",
-       "    }\n",
-       "\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
-       "    var manager = IPython.notebook.keyboard_manager;\n",
-       "    if (!manager)\n",
-       "        manager = IPython.keyboard_manager;\n",
-       "\n",
-       "    // Check for shift+enter\n",
-       "    if (event.shiftKey && event.which == 13) {\n",
-       "        this.canvas_div.blur();\n",
-       "        // 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=\"639.999990463257\">"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "st3d.show_vol_flow(volume, vec[0:2].reshape((2,)+volume.shape), s=10, double_arrow = True) "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "When visualizing the orientation as color, I choose fan coloring which uses hsv colors for orientatins in a certain plane, here a $xy$ plane,, and gray color for the orientations orthogonal to this plane. This coloring is convenient since all fibre bundles lay in $xy$ plane."
-   ]
-  },
-  {
-   "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",
-       "        fig.ws.close();\n",
-       "    }\n",
-       "\n",
-       "    this.ws.onmessage = this._make_on_message_function(this);\n",
-       "\n",
-       "    this.ondownload = ondownload;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_header = function() {\n",
-       "    var titlebar = $(\n",
-       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
-       "        'ui-helper-clearfix\"/>');\n",
-       "    var titletext = $(\n",
-       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
-       "        'text-align: center; padding: 3px;\"/>');\n",
-       "    titlebar.append(titletext)\n",
-       "    this.root.append(titlebar);\n",
-       "    this.header = titletext[0];\n",
-       "}\n",
-       "\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
-       "\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
-       "\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_canvas = function() {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var canvas_div = $('<div/>');\n",
-       "\n",
-       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
-       "\n",
-       "    function canvas_keyboard_event(event) {\n",
-       "        return fig.key_event(event, event['data']);\n",
-       "    }\n",
-       "\n",
-       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
-       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
-       "    this.canvas_div = canvas_div\n",
-       "    this._canvas_extra_style(canvas_div)\n",
-       "    this.root.append(canvas_div);\n",
-       "\n",
-       "    var canvas = $('<canvas/>');\n",
-       "    canvas.addClass('mpl-canvas');\n",
-       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
-       "\n",
-       "    this.canvas = canvas[0];\n",
-       "    this.context = canvas[0].getContext(\"2d\");\n",
-       "\n",
-       "    var backingStore = this.context.backingStorePixelRatio ||\n",
-       "\tthis.context.webkitBackingStorePixelRatio ||\n",
-       "\tthis.context.mozBackingStorePixelRatio ||\n",
-       "\tthis.context.msBackingStorePixelRatio ||\n",
-       "\tthis.context.oBackingStorePixelRatio ||\n",
-       "\tthis.context.backingStorePixelRatio || 1;\n",
-       "\n",
-       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
-       "\n",
-       "    var rubberband = $('<canvas/>');\n",
-       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
-       "\n",
-       "    var pass_mouse_events = true;\n",
-       "\n",
-       "    canvas_div.resizable({\n",
-       "        start: function(event, ui) {\n",
-       "            pass_mouse_events = false;\n",
-       "        },\n",
-       "        resize: function(event, ui) {\n",
-       "            fig.request_resize(ui.size.width, ui.size.height);\n",
-       "        },\n",
-       "        stop: function(event, ui) {\n",
-       "            pass_mouse_events = true;\n",
-       "            fig.request_resize(ui.size.width, ui.size.height);\n",
-       "        },\n",
-       "    });\n",
-       "\n",
-       "    function mouse_event_fn(event) {\n",
-       "        if (pass_mouse_events)\n",
-       "            return fig.mouse_event(event, event['data']);\n",
-       "    }\n",
-       "\n",
-       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
-       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
-       "    // Throttle sequential mouse events to 1 every 20ms.\n",
-       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
-       "\n",
-       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
-       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
-       "\n",
-       "    canvas_div.on(\"wheel\", function (event) {\n",
-       "        event = event.originalEvent;\n",
-       "        event['data'] = 'scroll'\n",
-       "        if (event.deltaY < 0) {\n",
-       "            event.step = 1;\n",
-       "        } else {\n",
-       "            event.step = -1;\n",
-       "        }\n",
-       "        mouse_event_fn(event);\n",
-       "    });\n",
-       "\n",
-       "    canvas_div.append(canvas);\n",
-       "    canvas_div.append(rubberband);\n",
-       "\n",
-       "    this.rubberband = rubberband;\n",
-       "    this.rubberband_canvas = rubberband[0];\n",
-       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
-       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
-       "\n",
-       "    this._resize_canvas = function(width, height) {\n",
-       "        // Keep the size of the canvas, canvas container, and rubber band\n",
-       "        // canvas in synch.\n",
-       "        canvas_div.css('width', width)\n",
-       "        canvas_div.css('height', height)\n",
-       "\n",
-       "        canvas.attr('width', width * mpl.ratio);\n",
-       "        canvas.attr('height', height * mpl.ratio);\n",
-       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
-       "\n",
-       "        rubberband.attr('width', width);\n",
-       "        rubberband.attr('height', height);\n",
-       "    }\n",
-       "\n",
-       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
-       "    // upon first draw.\n",
-       "    this._resize_canvas(600, 600);\n",
-       "\n",
-       "    // Disable right mouse context menu.\n",
-       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
-       "        return false;\n",
-       "    });\n",
-       "\n",
-       "    function set_focus () {\n",
-       "        canvas.focus();\n",
-       "        canvas_div.focus();\n",
-       "    }\n",
-       "\n",
-       "    window.setTimeout(set_focus, 100);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_toolbar = function() {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var nav_element = $('<div/>');\n",
-       "    nav_element.attr('style', 'width: 100%');\n",
-       "    this.root.append(nav_element);\n",
-       "\n",
-       "    // Define a callback function for later on.\n",
-       "    function toolbar_event(event) {\n",
-       "        return fig.toolbar_button_onclick(event['data']);\n",
-       "    }\n",
-       "    function toolbar_mouse_event(event) {\n",
-       "        return fig.toolbar_button_onmouseover(event['data']);\n",
-       "    }\n",
-       "\n",
-       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
-       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
-       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
-       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
-       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
-       "\n",
-       "        if (!name) {\n",
-       "            // put a spacer in here.\n",
-       "            continue;\n",
-       "        }\n",
-       "        var button = $('<button/>');\n",
-       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
-       "                        'ui-button-icon-only');\n",
-       "        button.attr('role', 'button');\n",
-       "        button.attr('aria-disabled', 'false');\n",
-       "        button.click(method_name, toolbar_event);\n",
-       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
-       "\n",
-       "        var icon_img = $('<span/>');\n",
-       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
-       "        icon_img.addClass(image);\n",
-       "        icon_img.addClass('ui-corner-all');\n",
-       "\n",
-       "        var tooltip_span = $('<span/>');\n",
-       "        tooltip_span.addClass('ui-button-text');\n",
-       "        tooltip_span.html(tooltip);\n",
-       "\n",
-       "        button.append(icon_img);\n",
-       "        button.append(tooltip_span);\n",
-       "\n",
-       "        nav_element.append(button);\n",
-       "    }\n",
-       "\n",
-       "    var fmt_picker_span = $('<span/>');\n",
-       "\n",
-       "    var fmt_picker = $('<select/>');\n",
-       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
-       "    fmt_picker_span.append(fmt_picker);\n",
-       "    nav_element.append(fmt_picker_span);\n",
-       "    this.format_dropdown = fmt_picker[0];\n",
-       "\n",
-       "    for (var ind in mpl.extensions) {\n",
-       "        var fmt = mpl.extensions[ind];\n",
-       "        var option = $(\n",
-       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
-       "        fmt_picker.append(option);\n",
-       "    }\n",
-       "\n",
-       "    // Add hover states to the ui-buttons\n",
-       "    $( \".ui-button\" ).hover(\n",
-       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
-       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
-       "    );\n",
-       "\n",
-       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
-       "    nav_element.append(status_bar);\n",
-       "    this.message = status_bar[0];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
-       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
-       "    // which will in turn request a refresh of the image.\n",
-       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.send_message = function(type, properties) {\n",
-       "    properties['type'] = type;\n",
-       "    properties['figure_id'] = this.id;\n",
-       "    this.ws.send(JSON.stringify(properties));\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.send_draw_message = function() {\n",
-       "    if (!this.waiting) {\n",
-       "        this.waiting = true;\n",
-       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
-       "    }\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
-       "    var format_dropdown = fig.format_dropdown;\n",
-       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
-       "    fig.ondownload(fig, format);\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
-       "    var size = msg['size'];\n",
-       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
-       "        fig._resize_canvas(size[0], size[1]);\n",
-       "        fig.send_message(\"refresh\", {});\n",
-       "    };\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
-       "    var x0 = msg['x0'] / mpl.ratio;\n",
-       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
-       "    var x1 = msg['x1'] / mpl.ratio;\n",
-       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
-       "    x0 = Math.floor(x0) + 0.5;\n",
-       "    y0 = Math.floor(y0) + 0.5;\n",
-       "    x1 = Math.floor(x1) + 0.5;\n",
-       "    y1 = Math.floor(y1) + 0.5;\n",
-       "    var min_x = Math.min(x0, x1);\n",
-       "    var min_y = Math.min(y0, y1);\n",
-       "    var width = Math.abs(x1 - x0);\n",
-       "    var height = Math.abs(y1 - y0);\n",
-       "\n",
-       "    fig.rubberband_context.clearRect(\n",
-       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
-       "\n",
-       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
-       "    // Updates the figure title.\n",
-       "    fig.header.textContent = msg['label'];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
-       "    var cursor = msg['cursor'];\n",
-       "    switch(cursor)\n",
-       "    {\n",
-       "    case 0:\n",
-       "        cursor = 'pointer';\n",
-       "        break;\n",
-       "    case 1:\n",
-       "        cursor = 'default';\n",
-       "        break;\n",
-       "    case 2:\n",
-       "        cursor = 'crosshair';\n",
-       "        break;\n",
-       "    case 3:\n",
-       "        cursor = 'move';\n",
-       "        break;\n",
-       "    }\n",
-       "    fig.rubberband_canvas.style.cursor = cursor;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
-       "    fig.message.textContent = msg['message'];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
-       "    // Request the server to send over a new figure.\n",
-       "    fig.send_draw_message();\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
-       "    fig.image_mode = msg['mode'];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.updated_canvas_event = function() {\n",
-       "    // Called whenever the canvas gets updated.\n",
-       "    this.send_message(\"ack\", {});\n",
-       "}\n",
-       "\n",
-       "// A function to construct a web socket function for onmessage handling.\n",
-       "// Called in the figure constructor.\n",
-       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
-       "    return function socket_on_message(evt) {\n",
-       "        if (evt.data instanceof Blob) {\n",
-       "            /* FIXME: We get \"Resource interpreted as Image but\n",
-       "             * transferred with MIME type text/plain:\" errors on\n",
-       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
-       "             * to be part of the websocket stream */\n",
-       "            evt.data.type = \"image/png\";\n",
-       "\n",
-       "            /* Free the memory for the previous frames */\n",
-       "            if (fig.imageObj.src) {\n",
-       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
-       "                    fig.imageObj.src);\n",
-       "            }\n",
-       "\n",
-       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
-       "                evt.data);\n",
-       "            fig.updated_canvas_event();\n",
-       "            fig.waiting = false;\n",
-       "            return;\n",
-       "        }\n",
-       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
-       "            fig.imageObj.src = evt.data;\n",
-       "            fig.updated_canvas_event();\n",
-       "            fig.waiting = false;\n",
-       "            return;\n",
-       "        }\n",
-       "\n",
-       "        var msg = JSON.parse(evt.data);\n",
-       "        var msg_type = msg['type'];\n",
-       "\n",
-       "        // Call the  \"handle_{type}\" callback, which takes\n",
-       "        // the figure and JSON message as its only arguments.\n",
-       "        try {\n",
-       "            var callback = fig[\"handle_\" + msg_type];\n",
-       "        } catch (e) {\n",
-       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
-       "            return;\n",
-       "        }\n",
-       "\n",
-       "        if (callback) {\n",
-       "            try {\n",
-       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
-       "                callback(fig, msg);\n",
-       "            } catch (e) {\n",
-       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
-       "            }\n",
-       "        }\n",
-       "    };\n",
-       "}\n",
-       "\n",
-       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
-       "mpl.findpos = function(e) {\n",
-       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
-       "    var targ;\n",
-       "    if (!e)\n",
-       "        e = window.event;\n",
-       "    if (e.target)\n",
-       "        targ = e.target;\n",
-       "    else if (e.srcElement)\n",
-       "        targ = e.srcElement;\n",
-       "    if (targ.nodeType == 3) // defeat Safari bug\n",
-       "        targ = targ.parentNode;\n",
-       "\n",
-       "    // jQuery normalizes the pageX and pageY\n",
-       "    // pageX,Y are the mouse positions relative to the document\n",
-       "    // offset() returns the position of the element relative to the document\n",
-       "    var x = e.pageX - $(targ).offset().left;\n",
-       "    var y = e.pageY - $(targ).offset().top;\n",
-       "\n",
-       "    return {\"x\": x, \"y\": y};\n",
-       "};\n",
-       "\n",
-       "/*\n",
-       " * return a copy of an object with only non-object keys\n",
-       " * we need this to avoid circular references\n",
-       " * http://stackoverflow.com/a/24161582/3208463\n",
-       " */\n",
-       "function simpleKeys (original) {\n",
-       "  return Object.keys(original).reduce(function (obj, key) {\n",
-       "    if (typeof original[key] !== 'object')\n",
-       "        obj[key] = original[key]\n",
-       "    return obj;\n",
-       "  }, {});\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
-       "    var canvas_pos = mpl.findpos(event)\n",
-       "\n",
-       "    if (name === 'button_press')\n",
-       "    {\n",
-       "        this.canvas.focus();\n",
-       "        this.canvas_div.focus();\n",
-       "    }\n",
-       "\n",
-       "    var x = canvas_pos.x * mpl.ratio;\n",
-       "    var y = canvas_pos.y * mpl.ratio;\n",
-       "\n",
-       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
-       "                             step: event.step,\n",
-       "                             guiEvent: simpleKeys(event)});\n",
-       "\n",
-       "    /* This prevents the web browser from automatically changing to\n",
-       "     * the text insertion cursor when the button is pressed.  We want\n",
-       "     * to control all of the cursor setting manually through the\n",
-       "     * 'cursor' event from matplotlib */\n",
-       "    event.preventDefault();\n",
-       "    return false;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
-       "    // Handle any extra behaviour associated with a key event\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.key_event = function(event, name) {\n",
-       "\n",
-       "    // Prevent repeat events\n",
-       "    if (name == 'key_press')\n",
-       "    {\n",
-       "        if (event.which === this._key)\n",
-       "            return;\n",
-       "        else\n",
-       "            this._key = event.which;\n",
-       "    }\n",
-       "    if (name == 'key_release')\n",
-       "        this._key = null;\n",
-       "\n",
-       "    var value = '';\n",
-       "    if (event.ctrlKey && event.which != 17)\n",
-       "        value += \"ctrl+\";\n",
-       "    if (event.altKey && event.which != 18)\n",
-       "        value += \"alt+\";\n",
-       "    if (event.shiftKey && event.which != 16)\n",
-       "        value += \"shift+\";\n",
-       "\n",
-       "    value += 'k';\n",
-       "    value += event.which.toString();\n",
-       "\n",
-       "    this._key_event_extra(event, name);\n",
-       "\n",
-       "    this.send_message(name, {key: value,\n",
-       "                             guiEvent: simpleKeys(event)});\n",
-       "    return false;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
-       "    if (name == 'download') {\n",
-       "        this.handle_save(this, null);\n",
-       "    } else {\n",
-       "        this.send_message(\"toolbar_button\", {name: name});\n",
-       "    }\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
-       "    this.message.textContent = tooltip;\n",
-       "};\n",
-       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
-       "\n",
-       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
-       "\n",
-       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
-       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
-       "    // object with the appropriate methods. Currently this is a non binary\n",
-       "    // socket, so there is still some room for performance tuning.\n",
-       "    var ws = {};\n",
-       "\n",
-       "    ws.close = function() {\n",
-       "        comm.close()\n",
-       "    };\n",
-       "    ws.send = function(m) {\n",
-       "        //console.log('sending', m);\n",
-       "        comm.send(m);\n",
-       "    };\n",
-       "    // Register the callback with on_msg.\n",
-       "    comm.on_msg(function(msg) {\n",
-       "        //console.log('receiving', msg['content']['data'], msg);\n",
-       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
-       "        ws.onmessage(msg['content']['data'])\n",
-       "    });\n",
-       "    return ws;\n",
-       "}\n",
-       "\n",
-       "mpl.mpl_figure_comm = function(comm, msg) {\n",
-       "    // This is the function which gets called when the mpl process\n",
-       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
-       "\n",
-       "    var id = msg.content.data.id;\n",
-       "    // Get hold of the div created by the display call when the Comm\n",
-       "    // socket was opened in Python.\n",
-       "    var element = $(\"#\" + id);\n",
-       "    var ws_proxy = comm_websocket_adapter(comm)\n",
-       "\n",
-       "    function ondownload(figure, format) {\n",
-       "        window.open(figure.imageObj.src);\n",
-       "    }\n",
-       "\n",
-       "    var fig = new mpl.figure(id, ws_proxy,\n",
-       "                           ondownload,\n",
-       "                           element.get(0));\n",
-       "\n",
-       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
-       "    // web socket which is closed, not our websocket->open comm proxy.\n",
-       "    ws_proxy.onopen();\n",
-       "\n",
-       "    fig.parent_element = element.get(0);\n",
-       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
-       "    if (!fig.cell_info) {\n",
-       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
-       "        return;\n",
-       "    }\n",
-       "\n",
-       "    var output_index = fig.cell_info[2]\n",
-       "    var cell = fig.cell_info[0];\n",
-       "\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
-       "    var width = fig.canvas.width/mpl.ratio\n",
-       "    fig.root.unbind('remove')\n",
-       "\n",
-       "    // Update the output cell to use the data from the current canvas.\n",
-       "    fig.push_to_output();\n",
-       "    var dataURL = fig.canvas.toDataURL();\n",
-       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
-       "    // the notebook keyboard shortcuts fail.\n",
-       "    IPython.keyboard_manager.enable()\n",
-       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
-       "    fig.close_ws(fig, msg);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
-       "    fig.send_message('closing', msg);\n",
-       "    // fig.ws.close()\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
-       "    // Turn the data on the canvas into data in the output cell.\n",
-       "    var width = this.canvas.width/mpl.ratio\n",
-       "    var dataURL = this.canvas.toDataURL();\n",
-       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.updated_canvas_event = function() {\n",
-       "    // Tell IPython that the notebook contents must change.\n",
-       "    IPython.notebook.set_dirty(true);\n",
-       "    this.send_message(\"ack\", {});\n",
-       "    var fig = this;\n",
-       "    // Wait a second, then push the new image to the DOM so\n",
-       "    // that it is saved nicely (might be nice to debounce this).\n",
-       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_toolbar = function() {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var nav_element = $('<div/>');\n",
-       "    nav_element.attr('style', 'width: 100%');\n",
-       "    this.root.append(nav_element);\n",
-       "\n",
-       "    // Define a callback function for later on.\n",
-       "    function toolbar_event(event) {\n",
-       "        return fig.toolbar_button_onclick(event['data']);\n",
-       "    }\n",
-       "    function toolbar_mouse_event(event) {\n",
-       "        return fig.toolbar_button_onmouseover(event['data']);\n",
-       "    }\n",
-       "\n",
-       "    for(var toolbar_ind in mpl.toolbar_items){\n",
-       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
-       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
-       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
-       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
-       "\n",
-       "        if (!name) { continue; };\n",
-       "\n",
-       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
-       "        button.click(method_name, toolbar_event);\n",
-       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
-       "        nav_element.append(button);\n",
-       "    }\n",
-       "\n",
-       "    // Add the status bar.\n",
-       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
-       "    nav_element.append(status_bar);\n",
-       "    this.message = status_bar[0];\n",
-       "\n",
-       "    // Add the close button to the window.\n",
-       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
-       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
-       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
-       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
-       "    buttongrp.append(button);\n",
-       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
-       "    titlebar.prepend(buttongrp);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._root_extra_style = function(el){\n",
-       "    var fig = this\n",
-       "    el.on(\"remove\", function(){\n",
-       "\tfig.close_ws(fig, {});\n",
-       "    });\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
-       "    // this is important to make the div 'focusable\n",
-       "    el.attr('tabindex', 0)\n",
-       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
-       "    // off when our div gets focus\n",
-       "\n",
-       "    // location in version 3\n",
-       "    if (IPython.notebook.keyboard_manager) {\n",
-       "        IPython.notebook.keyboard_manager.register_events(el);\n",
-       "    }\n",
-       "    else {\n",
-       "        // location in version 2\n",
-       "        IPython.keyboard_manager.register_events(el);\n",
-       "    }\n",
-       "\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
-       "    var manager = IPython.notebook.keyboard_manager;\n",
-       "    if (!manager)\n",
-       "        manager = IPython.keyboard_manager;\n",
-       "\n",
-       "    // Check for shift+enter\n",
-       "    if (event.shiftKey && event.which == 13) {\n",
-       "        this.canvas_div.blur();\n",
-       "        // 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=\"639.999990463257\">"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "st3d.show_vol_orientation(volume, vec, coloring = st3d.fan_coloring)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## And again for a rotated sample\n",
-    "The same analysis as above, but for the sample rotated such that layers are in $xz$-plane."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/javascript": [
-       "/* Put everything inside the global mpl namespace */\n",
-       "window.mpl = {};\n",
-       "\n",
-       "\n",
-       "mpl.get_websocket_type = function() {\n",
-       "    if (typeof(WebSocket) !== 'undefined') {\n",
-       "        return WebSocket;\n",
-       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
-       "        return MozWebSocket;\n",
-       "    } else {\n",
-       "        alert('Your browser does not have WebSocket support. ' +\n",
-       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
-       "              'Firefox 4 and 5 are also supported but you ' +\n",
-       "              'have to enable WebSockets in about:config.');\n",
-       "    };\n",
-       "}\n",
-       "\n",
-       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
-       "    this.id = figure_id;\n",
-       "\n",
-       "    this.ws = websocket;\n",
-       "\n",
-       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
-       "\n",
-       "    if (!this.supports_binary) {\n",
-       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
-       "        if (warnings) {\n",
-       "            warnings.style.display = 'block';\n",
-       "            warnings.textContent = (\n",
-       "                \"This browser does not support binary websocket messages. \" +\n",
-       "                    \"Performance may be slow.\");\n",
-       "        }\n",
-       "    }\n",
-       "\n",
-       "    this.imageObj = new Image();\n",
-       "\n",
-       "    this.context = undefined;\n",
-       "    this.message = undefined;\n",
-       "    this.canvas = undefined;\n",
-       "    this.rubberband_canvas = undefined;\n",
-       "    this.rubberband_context = undefined;\n",
-       "    this.format_dropdown = undefined;\n",
-       "\n",
-       "    this.image_mode = 'full';\n",
-       "\n",
-       "    this.root = $('<div/>');\n",
-       "    this._root_extra_style(this.root)\n",
-       "    this.root.attr('style', 'display: inline-block');\n",
-       "\n",
-       "    $(parent_element).append(this.root);\n",
-       "\n",
-       "    this._init_header(this);\n",
-       "    this._init_canvas(this);\n",
-       "    this._init_toolbar(this);\n",
-       "\n",
-       "    var fig = this;\n",
-       "\n",
-       "    this.waiting = false;\n",
-       "\n",
-       "    this.ws.onopen =  function () {\n",
-       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
-       "            fig.send_message(\"send_image_mode\", {});\n",
-       "            if (mpl.ratio != 1) {\n",
-       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
-       "            }\n",
-       "            fig.send_message(\"refresh\", {});\n",
-       "        }\n",
-       "\n",
-       "    this.imageObj.onload = function() {\n",
-       "            if (fig.image_mode == 'full') {\n",
-       "                // Full images could contain transparency (where diff images\n",
-       "                // almost always do), so we need to clear the canvas so that\n",
-       "                // there is no ghosting.\n",
-       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
-       "            }\n",
-       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
-       "        };\n",
-       "\n",
-       "    this.imageObj.onunload = function() {\n",
-       "        fig.ws.close();\n",
-       "    }\n",
-       "\n",
-       "    this.ws.onmessage = this._make_on_message_function(this);\n",
-       "\n",
-       "    this.ondownload = ondownload;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_header = function() {\n",
-       "    var titlebar = $(\n",
-       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
-       "        'ui-helper-clearfix\"/>');\n",
-       "    var titletext = $(\n",
-       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
-       "        'text-align: center; padding: 3px;\"/>');\n",
-       "    titlebar.append(titletext)\n",
-       "    this.root.append(titlebar);\n",
-       "    this.header = titletext[0];\n",
-       "}\n",
-       "\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
-       "\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
-       "\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_canvas = function() {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var canvas_div = $('<div/>');\n",
-       "\n",
-       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
-       "\n",
-       "    function canvas_keyboard_event(event) {\n",
-       "        return fig.key_event(event, event['data']);\n",
-       "    }\n",
-       "\n",
-       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
-       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
-       "    this.canvas_div = canvas_div\n",
-       "    this._canvas_extra_style(canvas_div)\n",
-       "    this.root.append(canvas_div);\n",
-       "\n",
-       "    var canvas = $('<canvas/>');\n",
-       "    canvas.addClass('mpl-canvas');\n",
-       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
-       "\n",
-       "    this.canvas = canvas[0];\n",
-       "    this.context = canvas[0].getContext(\"2d\");\n",
-       "\n",
-       "    var backingStore = this.context.backingStorePixelRatio ||\n",
-       "\tthis.context.webkitBackingStorePixelRatio ||\n",
-       "\tthis.context.mozBackingStorePixelRatio ||\n",
-       "\tthis.context.msBackingStorePixelRatio ||\n",
-       "\tthis.context.oBackingStorePixelRatio ||\n",
-       "\tthis.context.backingStorePixelRatio || 1;\n",
-       "\n",
-       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
-       "\n",
-       "    var rubberband = $('<canvas/>');\n",
-       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
-       "\n",
-       "    var pass_mouse_events = true;\n",
-       "\n",
-       "    canvas_div.resizable({\n",
-       "        start: function(event, ui) {\n",
-       "            pass_mouse_events = false;\n",
-       "        },\n",
-       "        resize: function(event, ui) {\n",
-       "            fig.request_resize(ui.size.width, ui.size.height);\n",
-       "        },\n",
-       "        stop: function(event, ui) {\n",
-       "            pass_mouse_events = true;\n",
-       "            fig.request_resize(ui.size.width, ui.size.height);\n",
-       "        },\n",
-       "    });\n",
-       "\n",
-       "    function mouse_event_fn(event) {\n",
-       "        if (pass_mouse_events)\n",
-       "            return fig.mouse_event(event, event['data']);\n",
-       "    }\n",
-       "\n",
-       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
-       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
-       "    // Throttle sequential mouse events to 1 every 20ms.\n",
-       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
-       "\n",
-       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
-       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
-       "\n",
-       "    canvas_div.on(\"wheel\", function (event) {\n",
-       "        event = event.originalEvent;\n",
-       "        event['data'] = 'scroll'\n",
-       "        if (event.deltaY < 0) {\n",
-       "            event.step = 1;\n",
-       "        } else {\n",
-       "            event.step = -1;\n",
-       "        }\n",
-       "        mouse_event_fn(event);\n",
-       "    });\n",
-       "\n",
-       "    canvas_div.append(canvas);\n",
-       "    canvas_div.append(rubberband);\n",
-       "\n",
-       "    this.rubberband = rubberband;\n",
-       "    this.rubberband_canvas = rubberband[0];\n",
-       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
-       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
-       "\n",
-       "    this._resize_canvas = function(width, height) {\n",
-       "        // Keep the size of the canvas, canvas container, and rubber band\n",
-       "        // canvas in synch.\n",
-       "        canvas_div.css('width', width)\n",
-       "        canvas_div.css('height', height)\n",
-       "\n",
-       "        canvas.attr('width', width * mpl.ratio);\n",
-       "        canvas.attr('height', height * mpl.ratio);\n",
-       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
-       "\n",
-       "        rubberband.attr('width', width);\n",
-       "        rubberband.attr('height', height);\n",
-       "    }\n",
-       "\n",
-       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
-       "    // upon first draw.\n",
-       "    this._resize_canvas(600, 600);\n",
-       "\n",
-       "    // Disable right mouse context menu.\n",
-       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
-       "        return false;\n",
-       "    });\n",
-       "\n",
-       "    function set_focus () {\n",
-       "        canvas.focus();\n",
-       "        canvas_div.focus();\n",
-       "    }\n",
-       "\n",
-       "    window.setTimeout(set_focus, 100);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_toolbar = function() {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var nav_element = $('<div/>');\n",
-       "    nav_element.attr('style', 'width: 100%');\n",
-       "    this.root.append(nav_element);\n",
-       "\n",
-       "    // Define a callback function for later on.\n",
-       "    function toolbar_event(event) {\n",
-       "        return fig.toolbar_button_onclick(event['data']);\n",
-       "    }\n",
-       "    function toolbar_mouse_event(event) {\n",
-       "        return fig.toolbar_button_onmouseover(event['data']);\n",
-       "    }\n",
-       "\n",
-       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
-       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
-       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
-       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
-       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
-       "\n",
-       "        if (!name) {\n",
-       "            // put a spacer in here.\n",
-       "            continue;\n",
-       "        }\n",
-       "        var button = $('<button/>');\n",
-       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
-       "                        'ui-button-icon-only');\n",
-       "        button.attr('role', 'button');\n",
-       "        button.attr('aria-disabled', 'false');\n",
-       "        button.click(method_name, toolbar_event);\n",
-       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
-       "\n",
-       "        var icon_img = $('<span/>');\n",
-       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
-       "        icon_img.addClass(image);\n",
-       "        icon_img.addClass('ui-corner-all');\n",
-       "\n",
-       "        var tooltip_span = $('<span/>');\n",
-       "        tooltip_span.addClass('ui-button-text');\n",
-       "        tooltip_span.html(tooltip);\n",
-       "\n",
-       "        button.append(icon_img);\n",
-       "        button.append(tooltip_span);\n",
-       "\n",
-       "        nav_element.append(button);\n",
-       "    }\n",
-       "\n",
-       "    var fmt_picker_span = $('<span/>');\n",
-       "\n",
-       "    var fmt_picker = $('<select/>');\n",
-       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
-       "    fmt_picker_span.append(fmt_picker);\n",
-       "    nav_element.append(fmt_picker_span);\n",
-       "    this.format_dropdown = fmt_picker[0];\n",
-       "\n",
-       "    for (var ind in mpl.extensions) {\n",
-       "        var fmt = mpl.extensions[ind];\n",
-       "        var option = $(\n",
-       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
-       "        fmt_picker.append(option);\n",
-       "    }\n",
-       "\n",
-       "    // Add hover states to the ui-buttons\n",
-       "    $( \".ui-button\" ).hover(\n",
-       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
-       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
-       "    );\n",
-       "\n",
-       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
-       "    nav_element.append(status_bar);\n",
-       "    this.message = status_bar[0];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
-       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
-       "    // which will in turn request a refresh of the image.\n",
-       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.send_message = function(type, properties) {\n",
-       "    properties['type'] = type;\n",
-       "    properties['figure_id'] = this.id;\n",
-       "    this.ws.send(JSON.stringify(properties));\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.send_draw_message = function() {\n",
-       "    if (!this.waiting) {\n",
-       "        this.waiting = true;\n",
-       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
-       "    }\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
-       "    var format_dropdown = fig.format_dropdown;\n",
-       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
-       "    fig.ondownload(fig, format);\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
-       "    var size = msg['size'];\n",
-       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
-       "        fig._resize_canvas(size[0], size[1]);\n",
-       "        fig.send_message(\"refresh\", {});\n",
-       "    };\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
-       "    var x0 = msg['x0'] / mpl.ratio;\n",
-       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
-       "    var x1 = msg['x1'] / mpl.ratio;\n",
-       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
-       "    x0 = Math.floor(x0) + 0.5;\n",
-       "    y0 = Math.floor(y0) + 0.5;\n",
-       "    x1 = Math.floor(x1) + 0.5;\n",
-       "    y1 = Math.floor(y1) + 0.5;\n",
-       "    var min_x = Math.min(x0, x1);\n",
-       "    var min_y = Math.min(y0, y1);\n",
-       "    var width = Math.abs(x1 - x0);\n",
-       "    var height = Math.abs(y1 - y0);\n",
-       "\n",
-       "    fig.rubberband_context.clearRect(\n",
-       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
-       "\n",
-       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
-       "    // Updates the figure title.\n",
-       "    fig.header.textContent = msg['label'];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
-       "    var cursor = msg['cursor'];\n",
-       "    switch(cursor)\n",
-       "    {\n",
-       "    case 0:\n",
-       "        cursor = 'pointer';\n",
-       "        break;\n",
-       "    case 1:\n",
-       "        cursor = 'default';\n",
-       "        break;\n",
-       "    case 2:\n",
-       "        cursor = 'crosshair';\n",
-       "        break;\n",
-       "    case 3:\n",
-       "        cursor = 'move';\n",
-       "        break;\n",
-       "    }\n",
-       "    fig.rubberband_canvas.style.cursor = cursor;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
-       "    fig.message.textContent = msg['message'];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
-       "    // Request the server to send over a new figure.\n",
-       "    fig.send_draw_message();\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
-       "    fig.image_mode = msg['mode'];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.updated_canvas_event = function() {\n",
-       "    // Called whenever the canvas gets updated.\n",
-       "    this.send_message(\"ack\", {});\n",
-       "}\n",
-       "\n",
-       "// A function to construct a web socket function for onmessage handling.\n",
-       "// Called in the figure constructor.\n",
-       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
-       "    return function socket_on_message(evt) {\n",
-       "        if (evt.data instanceof Blob) {\n",
-       "            /* FIXME: We get \"Resource interpreted as Image but\n",
-       "             * transferred with MIME type text/plain:\" errors on\n",
-       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
-       "             * to be part of the websocket stream */\n",
-       "            evt.data.type = \"image/png\";\n",
-       "\n",
-       "            /* Free the memory for the previous frames */\n",
-       "            if (fig.imageObj.src) {\n",
-       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
-       "                    fig.imageObj.src);\n",
-       "            }\n",
-       "\n",
-       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
-       "                evt.data);\n",
-       "            fig.updated_canvas_event();\n",
-       "            fig.waiting = false;\n",
-       "            return;\n",
-       "        }\n",
-       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
-       "            fig.imageObj.src = evt.data;\n",
-       "            fig.updated_canvas_event();\n",
-       "            fig.waiting = false;\n",
-       "            return;\n",
-       "        }\n",
-       "\n",
-       "        var msg = JSON.parse(evt.data);\n",
-       "        var msg_type = msg['type'];\n",
-       "\n",
-       "        // Call the  \"handle_{type}\" callback, which takes\n",
-       "        // the figure and JSON message as its only arguments.\n",
-       "        try {\n",
-       "            var callback = fig[\"handle_\" + msg_type];\n",
-       "        } catch (e) {\n",
-       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
-       "            return;\n",
-       "        }\n",
-       "\n",
-       "        if (callback) {\n",
-       "            try {\n",
-       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
-       "                callback(fig, msg);\n",
-       "            } catch (e) {\n",
-       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
-       "            }\n",
-       "        }\n",
-       "    };\n",
-       "}\n",
-       "\n",
-       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
-       "mpl.findpos = function(e) {\n",
-       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
-       "    var targ;\n",
-       "    if (!e)\n",
-       "        e = window.event;\n",
-       "    if (e.target)\n",
-       "        targ = e.target;\n",
-       "    else if (e.srcElement)\n",
-       "        targ = e.srcElement;\n",
-       "    if (targ.nodeType == 3) // defeat Safari bug\n",
-       "        targ = targ.parentNode;\n",
-       "\n",
-       "    // jQuery normalizes the pageX and pageY\n",
-       "    // pageX,Y are the mouse positions relative to the document\n",
-       "    // offset() returns the position of the element relative to the document\n",
-       "    var x = e.pageX - $(targ).offset().left;\n",
-       "    var y = e.pageY - $(targ).offset().top;\n",
-       "\n",
-       "    return {\"x\": x, \"y\": y};\n",
-       "};\n",
-       "\n",
-       "/*\n",
-       " * return a copy of an object with only non-object keys\n",
-       " * we need this to avoid circular references\n",
-       " * http://stackoverflow.com/a/24161582/3208463\n",
-       " */\n",
-       "function simpleKeys (original) {\n",
-       "  return Object.keys(original).reduce(function (obj, key) {\n",
-       "    if (typeof original[key] !== 'object')\n",
-       "        obj[key] = original[key]\n",
-       "    return obj;\n",
-       "  }, {});\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
-       "    var canvas_pos = mpl.findpos(event)\n",
-       "\n",
-       "    if (name === 'button_press')\n",
-       "    {\n",
-       "        this.canvas.focus();\n",
-       "        this.canvas_div.focus();\n",
-       "    }\n",
-       "\n",
-       "    var x = canvas_pos.x * mpl.ratio;\n",
-       "    var y = canvas_pos.y * mpl.ratio;\n",
-       "\n",
-       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
-       "                             step: event.step,\n",
-       "                             guiEvent: simpleKeys(event)});\n",
-       "\n",
-       "    /* This prevents the web browser from automatically changing to\n",
-       "     * the text insertion cursor when the button is pressed.  We want\n",
-       "     * to control all of the cursor setting manually through the\n",
-       "     * 'cursor' event from matplotlib */\n",
-       "    event.preventDefault();\n",
-       "    return false;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
-       "    // Handle any extra behaviour associated with a key event\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.key_event = function(event, name) {\n",
-       "\n",
-       "    // Prevent repeat events\n",
-       "    if (name == 'key_press')\n",
-       "    {\n",
-       "        if (event.which === this._key)\n",
-       "            return;\n",
-       "        else\n",
-       "            this._key = event.which;\n",
-       "    }\n",
-       "    if (name == 'key_release')\n",
-       "        this._key = null;\n",
-       "\n",
-       "    var value = '';\n",
-       "    if (event.ctrlKey && event.which != 17)\n",
-       "        value += \"ctrl+\";\n",
-       "    if (event.altKey && event.which != 18)\n",
-       "        value += \"alt+\";\n",
-       "    if (event.shiftKey && event.which != 16)\n",
-       "        value += \"shift+\";\n",
-       "\n",
-       "    value += 'k';\n",
-       "    value += event.which.toString();\n",
-       "\n",
-       "    this._key_event_extra(event, name);\n",
-       "\n",
-       "    this.send_message(name, {key: value,\n",
-       "                             guiEvent: simpleKeys(event)});\n",
-       "    return false;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
-       "    if (name == 'download') {\n",
-       "        this.handle_save(this, null);\n",
-       "    } else {\n",
-       "        this.send_message(\"toolbar_button\", {name: name});\n",
-       "    }\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
-       "    this.message.textContent = tooltip;\n",
-       "};\n",
-       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
-       "\n",
-       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
-       "\n",
-       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
-       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
-       "    // object with the appropriate methods. Currently this is a non binary\n",
-       "    // socket, so there is still some room for performance tuning.\n",
-       "    var ws = {};\n",
-       "\n",
-       "    ws.close = function() {\n",
-       "        comm.close()\n",
-       "    };\n",
-       "    ws.send = function(m) {\n",
-       "        //console.log('sending', m);\n",
-       "        comm.send(m);\n",
-       "    };\n",
-       "    // Register the callback with on_msg.\n",
-       "    comm.on_msg(function(msg) {\n",
-       "        //console.log('receiving', msg['content']['data'], msg);\n",
-       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
-       "        ws.onmessage(msg['content']['data'])\n",
-       "    });\n",
-       "    return ws;\n",
-       "}\n",
-       "\n",
-       "mpl.mpl_figure_comm = function(comm, msg) {\n",
-       "    // This is the function which gets called when the mpl process\n",
-       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
-       "\n",
-       "    var id = msg.content.data.id;\n",
-       "    // Get hold of the div created by the display call when the Comm\n",
-       "    // socket was opened in Python.\n",
-       "    var element = $(\"#\" + id);\n",
-       "    var ws_proxy = comm_websocket_adapter(comm)\n",
-       "\n",
-       "    function ondownload(figure, format) {\n",
-       "        window.open(figure.imageObj.src);\n",
-       "    }\n",
-       "\n",
-       "    var fig = new mpl.figure(id, ws_proxy,\n",
-       "                           ondownload,\n",
-       "                           element.get(0));\n",
-       "\n",
-       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
-       "    // web socket which is closed, not our websocket->open comm proxy.\n",
-       "    ws_proxy.onopen();\n",
-       "\n",
-       "    fig.parent_element = element.get(0);\n",
-       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
-       "    if (!fig.cell_info) {\n",
-       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
-       "        return;\n",
-       "    }\n",
-       "\n",
-       "    var output_index = fig.cell_info[2]\n",
-       "    var cell = fig.cell_info[0];\n",
-       "\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
-       "    var width = fig.canvas.width/mpl.ratio\n",
-       "    fig.root.unbind('remove')\n",
-       "\n",
-       "    // Update the output cell to use the data from the current canvas.\n",
-       "    fig.push_to_output();\n",
-       "    var dataURL = fig.canvas.toDataURL();\n",
-       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
-       "    // the notebook keyboard shortcuts fail.\n",
-       "    IPython.keyboard_manager.enable()\n",
-       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
-       "    fig.close_ws(fig, msg);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
-       "    fig.send_message('closing', msg);\n",
-       "    // fig.ws.close()\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
-       "    // Turn the data on the canvas into data in the output cell.\n",
-       "    var width = this.canvas.width/mpl.ratio\n",
-       "    var dataURL = this.canvas.toDataURL();\n",
-       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.updated_canvas_event = function() {\n",
-       "    // Tell IPython that the notebook contents must change.\n",
-       "    IPython.notebook.set_dirty(true);\n",
-       "    this.send_message(\"ack\", {});\n",
-       "    var fig = this;\n",
-       "    // Wait a second, then push the new image to the DOM so\n",
-       "    // that it is saved nicely (might be nice to debounce this).\n",
-       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_toolbar = function() {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var nav_element = $('<div/>');\n",
-       "    nav_element.attr('style', 'width: 100%');\n",
-       "    this.root.append(nav_element);\n",
-       "\n",
-       "    // Define a callback function for later on.\n",
-       "    function toolbar_event(event) {\n",
-       "        return fig.toolbar_button_onclick(event['data']);\n",
-       "    }\n",
-       "    function toolbar_mouse_event(event) {\n",
-       "        return fig.toolbar_button_onmouseover(event['data']);\n",
-       "    }\n",
-       "\n",
-       "    for(var toolbar_ind in mpl.toolbar_items){\n",
-       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
-       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
-       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
-       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
-       "\n",
-       "        if (!name) { continue; };\n",
-       "\n",
-       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
-       "        button.click(method_name, toolbar_event);\n",
-       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
-       "        nav_element.append(button);\n",
-       "    }\n",
-       "\n",
-       "    // Add the status bar.\n",
-       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
-       "    nav_element.append(status_bar);\n",
-       "    this.message = status_bar[0];\n",
-       "\n",
-       "    // Add the close button to the window.\n",
-       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
-       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
-       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
-       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
-       "    buttongrp.append(button);\n",
-       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
-       "    titlebar.prepend(buttongrp);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._root_extra_style = function(el){\n",
-       "    var fig = this\n",
-       "    el.on(\"remove\", function(){\n",
-       "\tfig.close_ws(fig, {});\n",
-       "    });\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
-       "    // this is important to make the div 'focusable\n",
-       "    el.attr('tabindex', 0)\n",
-       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
-       "    // off when our div gets focus\n",
-       "\n",
-       "    // location in version 3\n",
-       "    if (IPython.notebook.keyboard_manager) {\n",
-       "        IPython.notebook.keyboard_manager.register_events(el);\n",
-       "    }\n",
-       "    else {\n",
-       "        // location in version 2\n",
-       "        IPython.keyboard_manager.register_events(el);\n",
-       "    }\n",
-       "\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
-       "    var manager = IPython.notebook.keyboard_manager;\n",
-       "    if (!manager)\n",
-       "        manager = IPython.keyboard_manager;\n",
-       "\n",
-       "    // Check for shift+enter\n",
-       "    if (event.shiftKey && event.which == 13) {\n",
-       "        this.canvas_div.blur();\n",
-       "        // 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=\"639.999990463257\">"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "volume = np.transpose(volume, (1, 0, 2))\n",
-    "S = st3d.structure_tensor(volume, sigma, rho)\n",
-    "val,vec = st3d.eig_special(S)\n",
-    "coloring_z = lambda v : st3d.fan_coloring(v[[2, 0, 1]]) # rotating the coloring function\n",
-    "st3d.show_vol_orientation(volume, vec, coloring = coloring_z)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Investigating tensor-vector distance\n",
-    "A tensor-vector distance can be computed for every voxel. Here I compute the distance from the z-direction. In the rotated volume, a 90 deg. bundle (the middle layer) is aligned with z-direction, and has the smallest distance."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/javascript": [
-       "/* Put everything inside the global mpl namespace */\n",
-       "window.mpl = {};\n",
-       "\n",
-       "\n",
-       "mpl.get_websocket_type = function() {\n",
-       "    if (typeof(WebSocket) !== 'undefined') {\n",
-       "        return WebSocket;\n",
-       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
-       "        return MozWebSocket;\n",
-       "    } else {\n",
-       "        alert('Your browser does not have WebSocket support. ' +\n",
-       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
-       "              'Firefox 4 and 5 are also supported but you ' +\n",
-       "              'have to enable WebSockets in about:config.');\n",
-       "    };\n",
-       "}\n",
-       "\n",
-       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
-       "    this.id = figure_id;\n",
-       "\n",
-       "    this.ws = websocket;\n",
-       "\n",
-       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
-       "\n",
-       "    if (!this.supports_binary) {\n",
-       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
-       "        if (warnings) {\n",
-       "            warnings.style.display = 'block';\n",
-       "            warnings.textContent = (\n",
-       "                \"This browser does not support binary websocket messages. \" +\n",
-       "                    \"Performance may be slow.\");\n",
-       "        }\n",
-       "    }\n",
-       "\n",
-       "    this.imageObj = new Image();\n",
-       "\n",
-       "    this.context = undefined;\n",
-       "    this.message = undefined;\n",
-       "    this.canvas = undefined;\n",
-       "    this.rubberband_canvas = undefined;\n",
-       "    this.rubberband_context = undefined;\n",
-       "    this.format_dropdown = undefined;\n",
-       "\n",
-       "    this.image_mode = 'full';\n",
-       "\n",
-       "    this.root = $('<div/>');\n",
-       "    this._root_extra_style(this.root)\n",
-       "    this.root.attr('style', 'display: inline-block');\n",
-       "\n",
-       "    $(parent_element).append(this.root);\n",
-       "\n",
-       "    this._init_header(this);\n",
-       "    this._init_canvas(this);\n",
-       "    this._init_toolbar(this);\n",
-       "\n",
-       "    var fig = this;\n",
-       "\n",
-       "    this.waiting = false;\n",
-       "\n",
-       "    this.ws.onopen =  function () {\n",
-       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
-       "            fig.send_message(\"send_image_mode\", {});\n",
-       "            if (mpl.ratio != 1) {\n",
-       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
-       "            }\n",
-       "            fig.send_message(\"refresh\", {});\n",
-       "        }\n",
-       "\n",
-       "    this.imageObj.onload = function() {\n",
-       "            if (fig.image_mode == 'full') {\n",
-       "                // Full images could contain transparency (where diff images\n",
-       "                // almost always do), so we need to clear the canvas so that\n",
-       "                // there is no ghosting.\n",
-       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
-       "            }\n",
-       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
-       "        };\n",
-       "\n",
-       "    this.imageObj.onunload = function() {\n",
-       "        fig.ws.close();\n",
-       "    }\n",
-       "\n",
-       "    this.ws.onmessage = this._make_on_message_function(this);\n",
-       "\n",
-       "    this.ondownload = ondownload;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_header = function() {\n",
-       "    var titlebar = $(\n",
-       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
-       "        'ui-helper-clearfix\"/>');\n",
-       "    var titletext = $(\n",
-       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
-       "        'text-align: center; padding: 3px;\"/>');\n",
-       "    titlebar.append(titletext)\n",
-       "    this.root.append(titlebar);\n",
-       "    this.header = titletext[0];\n",
-       "}\n",
-       "\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
-       "\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
-       "\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_canvas = function() {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var canvas_div = $('<div/>');\n",
-       "\n",
-       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
-       "\n",
-       "    function canvas_keyboard_event(event) {\n",
-       "        return fig.key_event(event, event['data']);\n",
-       "    }\n",
-       "\n",
-       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
-       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
-       "    this.canvas_div = canvas_div\n",
-       "    this._canvas_extra_style(canvas_div)\n",
-       "    this.root.append(canvas_div);\n",
-       "\n",
-       "    var canvas = $('<canvas/>');\n",
-       "    canvas.addClass('mpl-canvas');\n",
-       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
-       "\n",
-       "    this.canvas = canvas[0];\n",
-       "    this.context = canvas[0].getContext(\"2d\");\n",
-       "\n",
-       "    var backingStore = this.context.backingStorePixelRatio ||\n",
-       "\tthis.context.webkitBackingStorePixelRatio ||\n",
-       "\tthis.context.mozBackingStorePixelRatio ||\n",
-       "\tthis.context.msBackingStorePixelRatio ||\n",
-       "\tthis.context.oBackingStorePixelRatio ||\n",
-       "\tthis.context.backingStorePixelRatio || 1;\n",
-       "\n",
-       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
-       "\n",
-       "    var rubberband = $('<canvas/>');\n",
-       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
-       "\n",
-       "    var pass_mouse_events = true;\n",
-       "\n",
-       "    canvas_div.resizable({\n",
-       "        start: function(event, ui) {\n",
-       "            pass_mouse_events = false;\n",
-       "        },\n",
-       "        resize: function(event, ui) {\n",
-       "            fig.request_resize(ui.size.width, ui.size.height);\n",
-       "        },\n",
-       "        stop: function(event, ui) {\n",
-       "            pass_mouse_events = true;\n",
-       "            fig.request_resize(ui.size.width, ui.size.height);\n",
-       "        },\n",
-       "    });\n",
-       "\n",
-       "    function mouse_event_fn(event) {\n",
-       "        if (pass_mouse_events)\n",
-       "            return fig.mouse_event(event, event['data']);\n",
-       "    }\n",
-       "\n",
-       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
-       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
-       "    // Throttle sequential mouse events to 1 every 20ms.\n",
-       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
-       "\n",
-       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
-       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
-       "\n",
-       "    canvas_div.on(\"wheel\", function (event) {\n",
-       "        event = event.originalEvent;\n",
-       "        event['data'] = 'scroll'\n",
-       "        if (event.deltaY < 0) {\n",
-       "            event.step = 1;\n",
-       "        } else {\n",
-       "            event.step = -1;\n",
-       "        }\n",
-       "        mouse_event_fn(event);\n",
-       "    });\n",
-       "\n",
-       "    canvas_div.append(canvas);\n",
-       "    canvas_div.append(rubberband);\n",
-       "\n",
-       "    this.rubberband = rubberband;\n",
-       "    this.rubberband_canvas = rubberband[0];\n",
-       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
-       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
-       "\n",
-       "    this._resize_canvas = function(width, height) {\n",
-       "        // Keep the size of the canvas, canvas container, and rubber band\n",
-       "        // canvas in synch.\n",
-       "        canvas_div.css('width', width)\n",
-       "        canvas_div.css('height', height)\n",
-       "\n",
-       "        canvas.attr('width', width * mpl.ratio);\n",
-       "        canvas.attr('height', height * mpl.ratio);\n",
-       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
-       "\n",
-       "        rubberband.attr('width', width);\n",
-       "        rubberband.attr('height', height);\n",
-       "    }\n",
-       "\n",
-       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
-       "    // upon first draw.\n",
-       "    this._resize_canvas(600, 600);\n",
-       "\n",
-       "    // Disable right mouse context menu.\n",
-       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
-       "        return false;\n",
-       "    });\n",
-       "\n",
-       "    function set_focus () {\n",
-       "        canvas.focus();\n",
-       "        canvas_div.focus();\n",
-       "    }\n",
-       "\n",
-       "    window.setTimeout(set_focus, 100);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_toolbar = function() {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var nav_element = $('<div/>');\n",
-       "    nav_element.attr('style', 'width: 100%');\n",
-       "    this.root.append(nav_element);\n",
-       "\n",
-       "    // Define a callback function for later on.\n",
-       "    function toolbar_event(event) {\n",
-       "        return fig.toolbar_button_onclick(event['data']);\n",
-       "    }\n",
-       "    function toolbar_mouse_event(event) {\n",
-       "        return fig.toolbar_button_onmouseover(event['data']);\n",
-       "    }\n",
-       "\n",
-       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
-       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
-       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
-       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
-       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
-       "\n",
-       "        if (!name) {\n",
-       "            // put a spacer in here.\n",
-       "            continue;\n",
-       "        }\n",
-       "        var button = $('<button/>');\n",
-       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
-       "                        'ui-button-icon-only');\n",
-       "        button.attr('role', 'button');\n",
-       "        button.attr('aria-disabled', 'false');\n",
-       "        button.click(method_name, toolbar_event);\n",
-       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
-       "\n",
-       "        var icon_img = $('<span/>');\n",
-       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
-       "        icon_img.addClass(image);\n",
-       "        icon_img.addClass('ui-corner-all');\n",
-       "\n",
-       "        var tooltip_span = $('<span/>');\n",
-       "        tooltip_span.addClass('ui-button-text');\n",
-       "        tooltip_span.html(tooltip);\n",
-       "\n",
-       "        button.append(icon_img);\n",
-       "        button.append(tooltip_span);\n",
-       "\n",
-       "        nav_element.append(button);\n",
-       "    }\n",
-       "\n",
-       "    var fmt_picker_span = $('<span/>');\n",
-       "\n",
-       "    var fmt_picker = $('<select/>');\n",
-       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
-       "    fmt_picker_span.append(fmt_picker);\n",
-       "    nav_element.append(fmt_picker_span);\n",
-       "    this.format_dropdown = fmt_picker[0];\n",
-       "\n",
-       "    for (var ind in mpl.extensions) {\n",
-       "        var fmt = mpl.extensions[ind];\n",
-       "        var option = $(\n",
-       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
-       "        fmt_picker.append(option);\n",
-       "    }\n",
-       "\n",
-       "    // Add hover states to the ui-buttons\n",
-       "    $( \".ui-button\" ).hover(\n",
-       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
-       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
-       "    );\n",
-       "\n",
-       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
-       "    nav_element.append(status_bar);\n",
-       "    this.message = status_bar[0];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
-       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
-       "    // which will in turn request a refresh of the image.\n",
-       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.send_message = function(type, properties) {\n",
-       "    properties['type'] = type;\n",
-       "    properties['figure_id'] = this.id;\n",
-       "    this.ws.send(JSON.stringify(properties));\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.send_draw_message = function() {\n",
-       "    if (!this.waiting) {\n",
-       "        this.waiting = true;\n",
-       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
-       "    }\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
-       "    var format_dropdown = fig.format_dropdown;\n",
-       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
-       "    fig.ondownload(fig, format);\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
-       "    var size = msg['size'];\n",
-       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
-       "        fig._resize_canvas(size[0], size[1]);\n",
-       "        fig.send_message(\"refresh\", {});\n",
-       "    };\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
-       "    var x0 = msg['x0'] / mpl.ratio;\n",
-       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
-       "    var x1 = msg['x1'] / mpl.ratio;\n",
-       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
-       "    x0 = Math.floor(x0) + 0.5;\n",
-       "    y0 = Math.floor(y0) + 0.5;\n",
-       "    x1 = Math.floor(x1) + 0.5;\n",
-       "    y1 = Math.floor(y1) + 0.5;\n",
-       "    var min_x = Math.min(x0, x1);\n",
-       "    var min_y = Math.min(y0, y1);\n",
-       "    var width = Math.abs(x1 - x0);\n",
-       "    var height = Math.abs(y1 - y0);\n",
-       "\n",
-       "    fig.rubberband_context.clearRect(\n",
-       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
-       "\n",
-       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
-       "    // Updates the figure title.\n",
-       "    fig.header.textContent = msg['label'];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
-       "    var cursor = msg['cursor'];\n",
-       "    switch(cursor)\n",
-       "    {\n",
-       "    case 0:\n",
-       "        cursor = 'pointer';\n",
-       "        break;\n",
-       "    case 1:\n",
-       "        cursor = 'default';\n",
-       "        break;\n",
-       "    case 2:\n",
-       "        cursor = 'crosshair';\n",
-       "        break;\n",
-       "    case 3:\n",
-       "        cursor = 'move';\n",
-       "        break;\n",
-       "    }\n",
-       "    fig.rubberband_canvas.style.cursor = cursor;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
-       "    fig.message.textContent = msg['message'];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
-       "    // Request the server to send over a new figure.\n",
-       "    fig.send_draw_message();\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
-       "    fig.image_mode = msg['mode'];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.updated_canvas_event = function() {\n",
-       "    // Called whenever the canvas gets updated.\n",
-       "    this.send_message(\"ack\", {});\n",
-       "}\n",
-       "\n",
-       "// A function to construct a web socket function for onmessage handling.\n",
-       "// Called in the figure constructor.\n",
-       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
-       "    return function socket_on_message(evt) {\n",
-       "        if (evt.data instanceof Blob) {\n",
-       "            /* FIXME: We get \"Resource interpreted as Image but\n",
-       "             * transferred with MIME type text/plain:\" errors on\n",
-       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
-       "             * to be part of the websocket stream */\n",
-       "            evt.data.type = \"image/png\";\n",
-       "\n",
-       "            /* Free the memory for the previous frames */\n",
-       "            if (fig.imageObj.src) {\n",
-       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
-       "                    fig.imageObj.src);\n",
-       "            }\n",
-       "\n",
-       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
-       "                evt.data);\n",
-       "            fig.updated_canvas_event();\n",
-       "            fig.waiting = false;\n",
-       "            return;\n",
-       "        }\n",
-       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
-       "            fig.imageObj.src = evt.data;\n",
-       "            fig.updated_canvas_event();\n",
-       "            fig.waiting = false;\n",
-       "            return;\n",
-       "        }\n",
-       "\n",
-       "        var msg = JSON.parse(evt.data);\n",
-       "        var msg_type = msg['type'];\n",
-       "\n",
-       "        // Call the  \"handle_{type}\" callback, which takes\n",
-       "        // the figure and JSON message as its only arguments.\n",
-       "        try {\n",
-       "            var callback = fig[\"handle_\" + msg_type];\n",
-       "        } catch (e) {\n",
-       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
-       "            return;\n",
-       "        }\n",
-       "\n",
-       "        if (callback) {\n",
-       "            try {\n",
-       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
-       "                callback(fig, msg);\n",
-       "            } catch (e) {\n",
-       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
-       "            }\n",
-       "        }\n",
-       "    };\n",
-       "}\n",
-       "\n",
-       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
-       "mpl.findpos = function(e) {\n",
-       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
-       "    var targ;\n",
-       "    if (!e)\n",
-       "        e = window.event;\n",
-       "    if (e.target)\n",
-       "        targ = e.target;\n",
-       "    else if (e.srcElement)\n",
-       "        targ = e.srcElement;\n",
-       "    if (targ.nodeType == 3) // defeat Safari bug\n",
-       "        targ = targ.parentNode;\n",
-       "\n",
-       "    // jQuery normalizes the pageX and pageY\n",
-       "    // pageX,Y are the mouse positions relative to the document\n",
-       "    // offset() returns the position of the element relative to the document\n",
-       "    var x = e.pageX - $(targ).offset().left;\n",
-       "    var y = e.pageY - $(targ).offset().top;\n",
-       "\n",
-       "    return {\"x\": x, \"y\": y};\n",
-       "};\n",
-       "\n",
-       "/*\n",
-       " * return a copy of an object with only non-object keys\n",
-       " * we need this to avoid circular references\n",
-       " * http://stackoverflow.com/a/24161582/3208463\n",
-       " */\n",
-       "function simpleKeys (original) {\n",
-       "  return Object.keys(original).reduce(function (obj, key) {\n",
-       "    if (typeof original[key] !== 'object')\n",
-       "        obj[key] = original[key]\n",
-       "    return obj;\n",
-       "  }, {});\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
-       "    var canvas_pos = mpl.findpos(event)\n",
-       "\n",
-       "    if (name === 'button_press')\n",
-       "    {\n",
-       "        this.canvas.focus();\n",
-       "        this.canvas_div.focus();\n",
-       "    }\n",
-       "\n",
-       "    var x = canvas_pos.x * mpl.ratio;\n",
-       "    var y = canvas_pos.y * mpl.ratio;\n",
-       "\n",
-       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
-       "                             step: event.step,\n",
-       "                             guiEvent: simpleKeys(event)});\n",
-       "\n",
-       "    /* This prevents the web browser from automatically changing to\n",
-       "     * the text insertion cursor when the button is pressed.  We want\n",
-       "     * to control all of the cursor setting manually through the\n",
-       "     * 'cursor' event from matplotlib */\n",
-       "    event.preventDefault();\n",
-       "    return false;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
-       "    // Handle any extra behaviour associated with a key event\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.key_event = function(event, name) {\n",
-       "\n",
-       "    // Prevent repeat events\n",
-       "    if (name == 'key_press')\n",
-       "    {\n",
-       "        if (event.which === this._key)\n",
-       "            return;\n",
-       "        else\n",
-       "            this._key = event.which;\n",
-       "    }\n",
-       "    if (name == 'key_release')\n",
-       "        this._key = null;\n",
-       "\n",
-       "    var value = '';\n",
-       "    if (event.ctrlKey && event.which != 17)\n",
-       "        value += \"ctrl+\";\n",
-       "    if (event.altKey && event.which != 18)\n",
-       "        value += \"alt+\";\n",
-       "    if (event.shiftKey && event.which != 16)\n",
-       "        value += \"shift+\";\n",
-       "\n",
-       "    value += 'k';\n",
-       "    value += event.which.toString();\n",
-       "\n",
-       "    this._key_event_extra(event, name);\n",
-       "\n",
-       "    this.send_message(name, {key: value,\n",
-       "                             guiEvent: simpleKeys(event)});\n",
-       "    return false;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
-       "    if (name == 'download') {\n",
-       "        this.handle_save(this, null);\n",
-       "    } else {\n",
-       "        this.send_message(\"toolbar_button\", {name: name});\n",
-       "    }\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
-       "    this.message.textContent = tooltip;\n",
-       "};\n",
-       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
-       "\n",
-       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
-       "\n",
-       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
-       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
-       "    // object with the appropriate methods. Currently this is a non binary\n",
-       "    // socket, so there is still some room for performance tuning.\n",
-       "    var ws = {};\n",
-       "\n",
-       "    ws.close = function() {\n",
-       "        comm.close()\n",
-       "    };\n",
-       "    ws.send = function(m) {\n",
-       "        //console.log('sending', m);\n",
-       "        comm.send(m);\n",
-       "    };\n",
-       "    // Register the callback with on_msg.\n",
-       "    comm.on_msg(function(msg) {\n",
-       "        //console.log('receiving', msg['content']['data'], msg);\n",
-       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
-       "        ws.onmessage(msg['content']['data'])\n",
-       "    });\n",
-       "    return ws;\n",
-       "}\n",
-       "\n",
-       "mpl.mpl_figure_comm = function(comm, msg) {\n",
-       "    // This is the function which gets called when the mpl process\n",
-       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
-       "\n",
-       "    var id = msg.content.data.id;\n",
-       "    // Get hold of the div created by the display call when the Comm\n",
-       "    // socket was opened in Python.\n",
-       "    var element = $(\"#\" + id);\n",
-       "    var ws_proxy = comm_websocket_adapter(comm)\n",
-       "\n",
-       "    function ondownload(figure, format) {\n",
-       "        window.open(figure.imageObj.src);\n",
-       "    }\n",
-       "\n",
-       "    var fig = new mpl.figure(id, ws_proxy,\n",
-       "                           ondownload,\n",
-       "                           element.get(0));\n",
-       "\n",
-       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
-       "    // web socket which is closed, not our websocket->open comm proxy.\n",
-       "    ws_proxy.onopen();\n",
-       "\n",
-       "    fig.parent_element = element.get(0);\n",
-       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
-       "    if (!fig.cell_info) {\n",
-       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
-       "        return;\n",
-       "    }\n",
-       "\n",
-       "    var output_index = fig.cell_info[2]\n",
-       "    var cell = fig.cell_info[0];\n",
-       "\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
-       "    var width = fig.canvas.width/mpl.ratio\n",
-       "    fig.root.unbind('remove')\n",
-       "\n",
-       "    // Update the output cell to use the data from the current canvas.\n",
-       "    fig.push_to_output();\n",
-       "    var dataURL = fig.canvas.toDataURL();\n",
-       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
-       "    // the notebook keyboard shortcuts fail.\n",
-       "    IPython.keyboard_manager.enable()\n",
-       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
-       "    fig.close_ws(fig, msg);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
-       "    fig.send_message('closing', msg);\n",
-       "    // fig.ws.close()\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
-       "    // Turn the data on the canvas into data in the output cell.\n",
-       "    var width = this.canvas.width/mpl.ratio\n",
-       "    var dataURL = this.canvas.toDataURL();\n",
-       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.updated_canvas_event = function() {\n",
-       "    // Tell IPython that the notebook contents must change.\n",
-       "    IPython.notebook.set_dirty(true);\n",
-       "    this.send_message(\"ack\", {});\n",
-       "    var fig = this;\n",
-       "    // Wait a second, then push the new image to the DOM so\n",
-       "    // that it is saved nicely (might be nice to debounce this).\n",
-       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_toolbar = function() {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var nav_element = $('<div/>');\n",
-       "    nav_element.attr('style', 'width: 100%');\n",
-       "    this.root.append(nav_element);\n",
-       "\n",
-       "    // Define a callback function for later on.\n",
-       "    function toolbar_event(event) {\n",
-       "        return fig.toolbar_button_onclick(event['data']);\n",
-       "    }\n",
-       "    function toolbar_mouse_event(event) {\n",
-       "        return fig.toolbar_button_onmouseover(event['data']);\n",
-       "    }\n",
-       "\n",
-       "    for(var toolbar_ind in mpl.toolbar_items){\n",
-       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
-       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
-       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
-       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
-       "\n",
-       "        if (!name) { continue; };\n",
-       "\n",
-       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
-       "        button.click(method_name, toolbar_event);\n",
-       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
-       "        nav_element.append(button);\n",
-       "    }\n",
-       "\n",
-       "    // Add the status bar.\n",
-       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
-       "    nav_element.append(status_bar);\n",
-       "    this.message = status_bar[0];\n",
-       "\n",
-       "    // Add the close button to the window.\n",
-       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
-       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
-       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
-       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
-       "    buttongrp.append(button);\n",
-       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
-       "    titlebar.prepend(buttongrp);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._root_extra_style = function(el){\n",
-       "    var fig = this\n",
-       "    el.on(\"remove\", function(){\n",
-       "\tfig.close_ws(fig, {});\n",
-       "    });\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
-       "    // this is important to make the div 'focusable\n",
-       "    el.attr('tabindex', 0)\n",
-       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
-       "    // off when our div gets focus\n",
-       "\n",
-       "    // location in version 3\n",
-       "    if (IPython.notebook.keyboard_manager) {\n",
-       "        IPython.notebook.keyboard_manager.register_events(el);\n",
-       "    }\n",
-       "    else {\n",
-       "        // location in version 2\n",
-       "        IPython.keyboard_manager.register_events(el);\n",
-       "    }\n",
-       "\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
-       "    var manager = IPython.notebook.keyboard_manager;\n",
-       "    if (!manager)\n",
-       "        manager = IPython.keyboard_manager;\n",
-       "\n",
-       "    // Check for shift+enter\n",
-       "    if (event.shiftKey && event.which == 13) {\n",
-       "        this.canvas_div.blur();\n",
-       "        // 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=\"639.999990463257\">"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "u = np.array([0,0,1])\n",
-    "dist = st3d.tensor_vector_distance(S,u)\n",
-    "st3d.show_vol(dist.reshape(volume.shape))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## K-means like clustering of structure tensor using tensor-vector distance\n",
-    "Tensor-vector distance allows clustering tensors using an approach similar to k-means. Here, every cluster is characterized by an orientation vector, and consists of the tensors which have a small distance to this orientation. The advantage of the approach is that it operates on tensors, and does not require their eigendecomposition. Only computation of cluster orientation requires eigendecomposition. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Iter 0: moved cluster centers for for 3.4611420322311117\n",
-      "Iter 0: moved 39247 voxels\n",
-      "Iter 1: moved cluster centers for for 0.004271292625400079\n",
-      "Iter 1: moved 1943 voxels\n",
-      "Iter 2: moved cluster centers for for 0.0002994716482208428\n",
-      "Iter 2: moved 147 voxels\n",
-      "Iter 3: moved cluster centers for for 2.5064554745549023e-05\n",
-      "Iter 3: moved 12 voxels\n",
-      "Iter 4: moved cluster centers for for 2.299743582546306e-06\n",
-      "Iter 4: moved 0 voxels\n",
-      "Iter 5: moved cluster centers for for 0.0\n",
-      "Iter 5: moved 0 voxels\n",
-      "Iter 6: moved cluster centers for for 0.0\n",
-      "Iter 6: moved 0 voxels\n",
-      "Iter 7: moved cluster centers for for 0.0\n",
-      "Iter 7: moved 0 voxels\n",
-      "Iter 8: moved cluster centers for for 0.0\n",
-      "Iter 8: moved 0 voxels\n",
-      "Iter 9: moved cluster centers for for 0.0\n",
-      "Iter 9: moved 0 voxels\n"
-     ]
-    },
-    {
-     "data": {
-      "application/javascript": [
-       "/* Put everything inside the global mpl namespace */\n",
-       "window.mpl = {};\n",
-       "\n",
-       "\n",
-       "mpl.get_websocket_type = function() {\n",
-       "    if (typeof(WebSocket) !== 'undefined') {\n",
-       "        return WebSocket;\n",
-       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
-       "        return MozWebSocket;\n",
-       "    } else {\n",
-       "        alert('Your browser does not have WebSocket support. ' +\n",
-       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
-       "              'Firefox 4 and 5 are also supported but you ' +\n",
-       "              'have to enable WebSockets in about:config.');\n",
-       "    };\n",
-       "}\n",
-       "\n",
-       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
-       "    this.id = figure_id;\n",
-       "\n",
-       "    this.ws = websocket;\n",
-       "\n",
-       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
-       "\n",
-       "    if (!this.supports_binary) {\n",
-       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
-       "        if (warnings) {\n",
-       "            warnings.style.display = 'block';\n",
-       "            warnings.textContent = (\n",
-       "                \"This browser does not support binary websocket messages. \" +\n",
-       "                    \"Performance may be slow.\");\n",
-       "        }\n",
-       "    }\n",
-       "\n",
-       "    this.imageObj = new Image();\n",
-       "\n",
-       "    this.context = undefined;\n",
-       "    this.message = undefined;\n",
-       "    this.canvas = undefined;\n",
-       "    this.rubberband_canvas = undefined;\n",
-       "    this.rubberband_context = undefined;\n",
-       "    this.format_dropdown = undefined;\n",
-       "\n",
-       "    this.image_mode = 'full';\n",
-       "\n",
-       "    this.root = $('<div/>');\n",
-       "    this._root_extra_style(this.root)\n",
-       "    this.root.attr('style', 'display: inline-block');\n",
-       "\n",
-       "    $(parent_element).append(this.root);\n",
-       "\n",
-       "    this._init_header(this);\n",
-       "    this._init_canvas(this);\n",
-       "    this._init_toolbar(this);\n",
-       "\n",
-       "    var fig = this;\n",
-       "\n",
-       "    this.waiting = false;\n",
-       "\n",
-       "    this.ws.onopen =  function () {\n",
-       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
-       "            fig.send_message(\"send_image_mode\", {});\n",
-       "            if (mpl.ratio != 1) {\n",
-       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
-       "            }\n",
-       "            fig.send_message(\"refresh\", {});\n",
-       "        }\n",
-       "\n",
-       "    this.imageObj.onload = function() {\n",
-       "            if (fig.image_mode == 'full') {\n",
-       "                // Full images could contain transparency (where diff images\n",
-       "                // almost always do), so we need to clear the canvas so that\n",
-       "                // there is no ghosting.\n",
-       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
-       "            }\n",
-       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
-       "        };\n",
-       "\n",
-       "    this.imageObj.onunload = function() {\n",
-       "        fig.ws.close();\n",
-       "    }\n",
-       "\n",
-       "    this.ws.onmessage = this._make_on_message_function(this);\n",
-       "\n",
-       "    this.ondownload = ondownload;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_header = function() {\n",
-       "    var titlebar = $(\n",
-       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
-       "        'ui-helper-clearfix\"/>');\n",
-       "    var titletext = $(\n",
-       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
-       "        'text-align: center; padding: 3px;\"/>');\n",
-       "    titlebar.append(titletext)\n",
-       "    this.root.append(titlebar);\n",
-       "    this.header = titletext[0];\n",
-       "}\n",
-       "\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
-       "\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
-       "\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_canvas = function() {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var canvas_div = $('<div/>');\n",
-       "\n",
-       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
-       "\n",
-       "    function canvas_keyboard_event(event) {\n",
-       "        return fig.key_event(event, event['data']);\n",
-       "    }\n",
-       "\n",
-       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
-       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
-       "    this.canvas_div = canvas_div\n",
-       "    this._canvas_extra_style(canvas_div)\n",
-       "    this.root.append(canvas_div);\n",
-       "\n",
-       "    var canvas = $('<canvas/>');\n",
-       "    canvas.addClass('mpl-canvas');\n",
-       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
-       "\n",
-       "    this.canvas = canvas[0];\n",
-       "    this.context = canvas[0].getContext(\"2d\");\n",
-       "\n",
-       "    var backingStore = this.context.backingStorePixelRatio ||\n",
-       "\tthis.context.webkitBackingStorePixelRatio ||\n",
-       "\tthis.context.mozBackingStorePixelRatio ||\n",
-       "\tthis.context.msBackingStorePixelRatio ||\n",
-       "\tthis.context.oBackingStorePixelRatio ||\n",
-       "\tthis.context.backingStorePixelRatio || 1;\n",
-       "\n",
-       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
-       "\n",
-       "    var rubberband = $('<canvas/>');\n",
-       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
-       "\n",
-       "    var pass_mouse_events = true;\n",
-       "\n",
-       "    canvas_div.resizable({\n",
-       "        start: function(event, ui) {\n",
-       "            pass_mouse_events = false;\n",
-       "        },\n",
-       "        resize: function(event, ui) {\n",
-       "            fig.request_resize(ui.size.width, ui.size.height);\n",
-       "        },\n",
-       "        stop: function(event, ui) {\n",
-       "            pass_mouse_events = true;\n",
-       "            fig.request_resize(ui.size.width, ui.size.height);\n",
-       "        },\n",
-       "    });\n",
-       "\n",
-       "    function mouse_event_fn(event) {\n",
-       "        if (pass_mouse_events)\n",
-       "            return fig.mouse_event(event, event['data']);\n",
-       "    }\n",
-       "\n",
-       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
-       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
-       "    // Throttle sequential mouse events to 1 every 20ms.\n",
-       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
-       "\n",
-       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
-       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
-       "\n",
-       "    canvas_div.on(\"wheel\", function (event) {\n",
-       "        event = event.originalEvent;\n",
-       "        event['data'] = 'scroll'\n",
-       "        if (event.deltaY < 0) {\n",
-       "            event.step = 1;\n",
-       "        } else {\n",
-       "            event.step = -1;\n",
-       "        }\n",
-       "        mouse_event_fn(event);\n",
-       "    });\n",
-       "\n",
-       "    canvas_div.append(canvas);\n",
-       "    canvas_div.append(rubberband);\n",
-       "\n",
-       "    this.rubberband = rubberband;\n",
-       "    this.rubberband_canvas = rubberband[0];\n",
-       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
-       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
-       "\n",
-       "    this._resize_canvas = function(width, height) {\n",
-       "        // Keep the size of the canvas, canvas container, and rubber band\n",
-       "        // canvas in synch.\n",
-       "        canvas_div.css('width', width)\n",
-       "        canvas_div.css('height', height)\n",
-       "\n",
-       "        canvas.attr('width', width * mpl.ratio);\n",
-       "        canvas.attr('height', height * mpl.ratio);\n",
-       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
-       "\n",
-       "        rubberband.attr('width', width);\n",
-       "        rubberband.attr('height', height);\n",
-       "    }\n",
-       "\n",
-       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
-       "    // upon first draw.\n",
-       "    this._resize_canvas(600, 600);\n",
-       "\n",
-       "    // Disable right mouse context menu.\n",
-       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
-       "        return false;\n",
-       "    });\n",
-       "\n",
-       "    function set_focus () {\n",
-       "        canvas.focus();\n",
-       "        canvas_div.focus();\n",
-       "    }\n",
-       "\n",
-       "    window.setTimeout(set_focus, 100);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_toolbar = function() {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var nav_element = $('<div/>');\n",
-       "    nav_element.attr('style', 'width: 100%');\n",
-       "    this.root.append(nav_element);\n",
-       "\n",
-       "    // Define a callback function for later on.\n",
-       "    function toolbar_event(event) {\n",
-       "        return fig.toolbar_button_onclick(event['data']);\n",
-       "    }\n",
-       "    function toolbar_mouse_event(event) {\n",
-       "        return fig.toolbar_button_onmouseover(event['data']);\n",
-       "    }\n",
-       "\n",
-       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
-       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
-       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
-       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
-       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
-       "\n",
-       "        if (!name) {\n",
-       "            // put a spacer in here.\n",
-       "            continue;\n",
-       "        }\n",
-       "        var button = $('<button/>');\n",
-       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
-       "                        'ui-button-icon-only');\n",
-       "        button.attr('role', 'button');\n",
-       "        button.attr('aria-disabled', 'false');\n",
-       "        button.click(method_name, toolbar_event);\n",
-       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
-       "\n",
-       "        var icon_img = $('<span/>');\n",
-       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
-       "        icon_img.addClass(image);\n",
-       "        icon_img.addClass('ui-corner-all');\n",
-       "\n",
-       "        var tooltip_span = $('<span/>');\n",
-       "        tooltip_span.addClass('ui-button-text');\n",
-       "        tooltip_span.html(tooltip);\n",
-       "\n",
-       "        button.append(icon_img);\n",
-       "        button.append(tooltip_span);\n",
-       "\n",
-       "        nav_element.append(button);\n",
-       "    }\n",
-       "\n",
-       "    var fmt_picker_span = $('<span/>');\n",
-       "\n",
-       "    var fmt_picker = $('<select/>');\n",
-       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
-       "    fmt_picker_span.append(fmt_picker);\n",
-       "    nav_element.append(fmt_picker_span);\n",
-       "    this.format_dropdown = fmt_picker[0];\n",
-       "\n",
-       "    for (var ind in mpl.extensions) {\n",
-       "        var fmt = mpl.extensions[ind];\n",
-       "        var option = $(\n",
-       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
-       "        fmt_picker.append(option);\n",
-       "    }\n",
-       "\n",
-       "    // Add hover states to the ui-buttons\n",
-       "    $( \".ui-button\" ).hover(\n",
-       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
-       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
-       "    );\n",
-       "\n",
-       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
-       "    nav_element.append(status_bar);\n",
-       "    this.message = status_bar[0];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
-       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
-       "    // which will in turn request a refresh of the image.\n",
-       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.send_message = function(type, properties) {\n",
-       "    properties['type'] = type;\n",
-       "    properties['figure_id'] = this.id;\n",
-       "    this.ws.send(JSON.stringify(properties));\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.send_draw_message = function() {\n",
-       "    if (!this.waiting) {\n",
-       "        this.waiting = true;\n",
-       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
-       "    }\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
-       "    var format_dropdown = fig.format_dropdown;\n",
-       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
-       "    fig.ondownload(fig, format);\n",
-       "}\n",
-       "\n",
-       "\n",
-       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
-       "    var size = msg['size'];\n",
-       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
-       "        fig._resize_canvas(size[0], size[1]);\n",
-       "        fig.send_message(\"refresh\", {});\n",
-       "    };\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
-       "    var x0 = msg['x0'] / mpl.ratio;\n",
-       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
-       "    var x1 = msg['x1'] / mpl.ratio;\n",
-       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
-       "    x0 = Math.floor(x0) + 0.5;\n",
-       "    y0 = Math.floor(y0) + 0.5;\n",
-       "    x1 = Math.floor(x1) + 0.5;\n",
-       "    y1 = Math.floor(y1) + 0.5;\n",
-       "    var min_x = Math.min(x0, x1);\n",
-       "    var min_y = Math.min(y0, y1);\n",
-       "    var width = Math.abs(x1 - x0);\n",
-       "    var height = Math.abs(y1 - y0);\n",
-       "\n",
-       "    fig.rubberband_context.clearRect(\n",
-       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
-       "\n",
-       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
-       "    // Updates the figure title.\n",
-       "    fig.header.textContent = msg['label'];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
-       "    var cursor = msg['cursor'];\n",
-       "    switch(cursor)\n",
-       "    {\n",
-       "    case 0:\n",
-       "        cursor = 'pointer';\n",
-       "        break;\n",
-       "    case 1:\n",
-       "        cursor = 'default';\n",
-       "        break;\n",
-       "    case 2:\n",
-       "        cursor = 'crosshair';\n",
-       "        break;\n",
-       "    case 3:\n",
-       "        cursor = 'move';\n",
-       "        break;\n",
-       "    }\n",
-       "    fig.rubberband_canvas.style.cursor = cursor;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
-       "    fig.message.textContent = msg['message'];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
-       "    // Request the server to send over a new figure.\n",
-       "    fig.send_draw_message();\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
-       "    fig.image_mode = msg['mode'];\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.updated_canvas_event = function() {\n",
-       "    // Called whenever the canvas gets updated.\n",
-       "    this.send_message(\"ack\", {});\n",
-       "}\n",
-       "\n",
-       "// A function to construct a web socket function for onmessage handling.\n",
-       "// Called in the figure constructor.\n",
-       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
-       "    return function socket_on_message(evt) {\n",
-       "        if (evt.data instanceof Blob) {\n",
-       "            /* FIXME: We get \"Resource interpreted as Image but\n",
-       "             * transferred with MIME type text/plain:\" errors on\n",
-       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
-       "             * to be part of the websocket stream */\n",
-       "            evt.data.type = \"image/png\";\n",
-       "\n",
-       "            /* Free the memory for the previous frames */\n",
-       "            if (fig.imageObj.src) {\n",
-       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
-       "                    fig.imageObj.src);\n",
-       "            }\n",
-       "\n",
-       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
-       "                evt.data);\n",
-       "            fig.updated_canvas_event();\n",
-       "            fig.waiting = false;\n",
-       "            return;\n",
-       "        }\n",
-       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
-       "            fig.imageObj.src = evt.data;\n",
-       "            fig.updated_canvas_event();\n",
-       "            fig.waiting = false;\n",
-       "            return;\n",
-       "        }\n",
-       "\n",
-       "        var msg = JSON.parse(evt.data);\n",
-       "        var msg_type = msg['type'];\n",
-       "\n",
-       "        // Call the  \"handle_{type}\" callback, which takes\n",
-       "        // the figure and JSON message as its only arguments.\n",
-       "        try {\n",
-       "            var callback = fig[\"handle_\" + msg_type];\n",
-       "        } catch (e) {\n",
-       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
-       "            return;\n",
-       "        }\n",
-       "\n",
-       "        if (callback) {\n",
-       "            try {\n",
-       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
-       "                callback(fig, msg);\n",
-       "            } catch (e) {\n",
-       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
-       "            }\n",
-       "        }\n",
-       "    };\n",
-       "}\n",
-       "\n",
-       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
-       "mpl.findpos = function(e) {\n",
-       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
-       "    var targ;\n",
-       "    if (!e)\n",
-       "        e = window.event;\n",
-       "    if (e.target)\n",
-       "        targ = e.target;\n",
-       "    else if (e.srcElement)\n",
-       "        targ = e.srcElement;\n",
-       "    if (targ.nodeType == 3) // defeat Safari bug\n",
-       "        targ = targ.parentNode;\n",
-       "\n",
-       "    // jQuery normalizes the pageX and pageY\n",
-       "    // pageX,Y are the mouse positions relative to the document\n",
-       "    // offset() returns the position of the element relative to the document\n",
-       "    var x = e.pageX - $(targ).offset().left;\n",
-       "    var y = e.pageY - $(targ).offset().top;\n",
-       "\n",
-       "    return {\"x\": x, \"y\": y};\n",
-       "};\n",
-       "\n",
-       "/*\n",
-       " * return a copy of an object with only non-object keys\n",
-       " * we need this to avoid circular references\n",
-       " * http://stackoverflow.com/a/24161582/3208463\n",
-       " */\n",
-       "function simpleKeys (original) {\n",
-       "  return Object.keys(original).reduce(function (obj, key) {\n",
-       "    if (typeof original[key] !== 'object')\n",
-       "        obj[key] = original[key]\n",
-       "    return obj;\n",
-       "  }, {});\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
-       "    var canvas_pos = mpl.findpos(event)\n",
-       "\n",
-       "    if (name === 'button_press')\n",
-       "    {\n",
-       "        this.canvas.focus();\n",
-       "        this.canvas_div.focus();\n",
-       "    }\n",
-       "\n",
-       "    var x = canvas_pos.x * mpl.ratio;\n",
-       "    var y = canvas_pos.y * mpl.ratio;\n",
-       "\n",
-       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
-       "                             step: event.step,\n",
-       "                             guiEvent: simpleKeys(event)});\n",
-       "\n",
-       "    /* This prevents the web browser from automatically changing to\n",
-       "     * the text insertion cursor when the button is pressed.  We want\n",
-       "     * to control all of the cursor setting manually through the\n",
-       "     * 'cursor' event from matplotlib */\n",
-       "    event.preventDefault();\n",
-       "    return false;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
-       "    // Handle any extra behaviour associated with a key event\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.key_event = function(event, name) {\n",
-       "\n",
-       "    // Prevent repeat events\n",
-       "    if (name == 'key_press')\n",
-       "    {\n",
-       "        if (event.which === this._key)\n",
-       "            return;\n",
-       "        else\n",
-       "            this._key = event.which;\n",
-       "    }\n",
-       "    if (name == 'key_release')\n",
-       "        this._key = null;\n",
-       "\n",
-       "    var value = '';\n",
-       "    if (event.ctrlKey && event.which != 17)\n",
-       "        value += \"ctrl+\";\n",
-       "    if (event.altKey && event.which != 18)\n",
-       "        value += \"alt+\";\n",
-       "    if (event.shiftKey && event.which != 16)\n",
-       "        value += \"shift+\";\n",
-       "\n",
-       "    value += 'k';\n",
-       "    value += event.which.toString();\n",
-       "\n",
-       "    this._key_event_extra(event, name);\n",
-       "\n",
-       "    this.send_message(name, {key: value,\n",
-       "                             guiEvent: simpleKeys(event)});\n",
-       "    return false;\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
-       "    if (name == 'download') {\n",
-       "        this.handle_save(this, null);\n",
-       "    } else {\n",
-       "        this.send_message(\"toolbar_button\", {name: name});\n",
-       "    }\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
-       "    this.message.textContent = tooltip;\n",
-       "};\n",
-       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
-       "\n",
-       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
-       "\n",
-       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
-       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
-       "    // object with the appropriate methods. Currently this is a non binary\n",
-       "    // socket, so there is still some room for performance tuning.\n",
-       "    var ws = {};\n",
-       "\n",
-       "    ws.close = function() {\n",
-       "        comm.close()\n",
-       "    };\n",
-       "    ws.send = function(m) {\n",
-       "        //console.log('sending', m);\n",
-       "        comm.send(m);\n",
-       "    };\n",
-       "    // Register the callback with on_msg.\n",
-       "    comm.on_msg(function(msg) {\n",
-       "        //console.log('receiving', msg['content']['data'], msg);\n",
-       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
-       "        ws.onmessage(msg['content']['data'])\n",
-       "    });\n",
-       "    return ws;\n",
-       "}\n",
-       "\n",
-       "mpl.mpl_figure_comm = function(comm, msg) {\n",
-       "    // This is the function which gets called when the mpl process\n",
-       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
-       "\n",
-       "    var id = msg.content.data.id;\n",
-       "    // Get hold of the div created by the display call when the Comm\n",
-       "    // socket was opened in Python.\n",
-       "    var element = $(\"#\" + id);\n",
-       "    var ws_proxy = comm_websocket_adapter(comm)\n",
-       "\n",
-       "    function ondownload(figure, format) {\n",
-       "        window.open(figure.imageObj.src);\n",
-       "    }\n",
-       "\n",
-       "    var fig = new mpl.figure(id, ws_proxy,\n",
-       "                           ondownload,\n",
-       "                           element.get(0));\n",
-       "\n",
-       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
-       "    // web socket which is closed, not our websocket->open comm proxy.\n",
-       "    ws_proxy.onopen();\n",
-       "\n",
-       "    fig.parent_element = element.get(0);\n",
-       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
-       "    if (!fig.cell_info) {\n",
-       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
-       "        return;\n",
-       "    }\n",
-       "\n",
-       "    var output_index = fig.cell_info[2]\n",
-       "    var cell = fig.cell_info[0];\n",
-       "\n",
-       "};\n",
-       "\n",
-       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
-       "    var width = fig.canvas.width/mpl.ratio\n",
-       "    fig.root.unbind('remove')\n",
-       "\n",
-       "    // Update the output cell to use the data from the current canvas.\n",
-       "    fig.push_to_output();\n",
-       "    var dataURL = fig.canvas.toDataURL();\n",
-       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
-       "    // the notebook keyboard shortcuts fail.\n",
-       "    IPython.keyboard_manager.enable()\n",
-       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
-       "    fig.close_ws(fig, msg);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
-       "    fig.send_message('closing', msg);\n",
-       "    // fig.ws.close()\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
-       "    // Turn the data on the canvas into data in the output cell.\n",
-       "    var width = this.canvas.width/mpl.ratio\n",
-       "    var dataURL = this.canvas.toDataURL();\n",
-       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype.updated_canvas_event = function() {\n",
-       "    // Tell IPython that the notebook contents must change.\n",
-       "    IPython.notebook.set_dirty(true);\n",
-       "    this.send_message(\"ack\", {});\n",
-       "    var fig = this;\n",
-       "    // Wait a second, then push the new image to the DOM so\n",
-       "    // that it is saved nicely (might be nice to debounce this).\n",
-       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._init_toolbar = function() {\n",
-       "    var fig = this;\n",
-       "\n",
-       "    var nav_element = $('<div/>');\n",
-       "    nav_element.attr('style', 'width: 100%');\n",
-       "    this.root.append(nav_element);\n",
-       "\n",
-       "    // Define a callback function for later on.\n",
-       "    function toolbar_event(event) {\n",
-       "        return fig.toolbar_button_onclick(event['data']);\n",
-       "    }\n",
-       "    function toolbar_mouse_event(event) {\n",
-       "        return fig.toolbar_button_onmouseover(event['data']);\n",
-       "    }\n",
-       "\n",
-       "    for(var toolbar_ind in mpl.toolbar_items){\n",
-       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
-       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
-       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
-       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
-       "\n",
-       "        if (!name) { continue; };\n",
-       "\n",
-       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
-       "        button.click(method_name, toolbar_event);\n",
-       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
-       "        nav_element.append(button);\n",
-       "    }\n",
-       "\n",
-       "    // Add the status bar.\n",
-       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
-       "    nav_element.append(status_bar);\n",
-       "    this.message = status_bar[0];\n",
-       "\n",
-       "    // Add the close button to the window.\n",
-       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
-       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
-       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
-       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
-       "    buttongrp.append(button);\n",
-       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
-       "    titlebar.prepend(buttongrp);\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._root_extra_style = function(el){\n",
-       "    var fig = this\n",
-       "    el.on(\"remove\", function(){\n",
-       "\tfig.close_ws(fig, {});\n",
-       "    });\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
-       "    // this is important to make the div 'focusable\n",
-       "    el.attr('tabindex', 0)\n",
-       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
-       "    // off when our div gets focus\n",
-       "\n",
-       "    // location in version 3\n",
-       "    if (IPython.notebook.keyboard_manager) {\n",
-       "        IPython.notebook.keyboard_manager.register_events(el);\n",
-       "    }\n",
-       "    else {\n",
-       "        // location in version 2\n",
-       "        IPython.keyboard_manager.register_events(el);\n",
-       "    }\n",
-       "\n",
-       "}\n",
-       "\n",
-       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
-       "    var manager = IPython.notebook.keyboard_manager;\n",
-       "    if (!manager)\n",
-       "        manager = IPython.keyboard_manager;\n",
-       "\n",
-       "    // Check for shift+enter\n",
-       "    if (event.shiftKey && event.which == 13) {\n",
-       "        this.canvas_div.blur();\n",
-       "        // 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=\"639.999990463257\">"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "t = np.sqrt(1/2)\n",
-    "u_clusters = np.array([[1,0,0],[0,0,1],[t,0,t],[-t,0,t]]).T # initalizing orientations close to desired solution   \n",
-    "dist = st3d.tensor_vector_distance(S,u_clusters)\n",
-    "assignment = np.argmin(dist,axis = 1)\n",
-    "     \n",
-    "S_clusters = np.zeros((6,u_clusters.shape[1]))\n",
-    "for r in range(10): # iterations of k-means\n",
-    "    \n",
-    "    for i in range(u_clusters.shape[1]): # collecting ST for all voxels in a cluster\n",
-    "        S_clusters[:,i] = np.mean(S[:,assignment==i],axis=1)\n",
-    "    val,vec = st3d.eig_special(S_clusters) # estimating new cluster orientation\n",
-    "    print(f'Iter {r}: moved cluster centers for for {np.sqrt(np.sum((u_clusters-vec)**2))}')\n",
-    "    u_clusters = vec\n",
-    "    dist = st3d.tensor_vector_distance(S,u_clusters)\n",
-    "    assignment_new = np.argmin(dist,axis = 1)\n",
-    "    print(f'Iter {r}: moved {np.sum(abs(assignment-assignment_new))} voxels')\n",
-    "    assignment = assignment_new\n",
-    "\n",
-    "st3d.show_vol(assignment.reshape(volume.shape), cmap='jet')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.4"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
-- 
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