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           "    if (buttonGroup.hasChildNodes()) {\n",
           "        toolbar.appendChild(buttonGroup);\n",
           "    }\n",
           "\n",
           "    // Add the status bar.\n",
           "    var status_bar = document.createElement('span');\n",
           "    status_bar.classList = 'mpl-message pull-right';\n",
           "    toolbar.appendChild(status_bar);\n",
           "    this.message = status_bar;\n",
           "\n",
           "    // Add the close button to the window.\n",
           "    var buttongrp = document.createElement('div');\n",
           "    buttongrp.classList = 'btn-group inline pull-right';\n",
           "    button = document.createElement('button');\n",
           "    button.classList = 'btn btn-mini btn-primary';\n",
           "    button.href = '#';\n",
           "    button.title = 'Stop Interaction';\n",
           "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
           "    button.addEventListener('click', function (_evt) {\n",
           "        fig.handle_close(fig, {});\n",
           "    });\n",
           "    button.addEventListener(\n",
           "        'mouseover',\n",
           "        on_mouseover_closure('Stop Interaction')\n",
           "    );\n",
           "    buttongrp.appendChild(button);\n",
           "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
           "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
           "};\n",
           "\n",
           "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
           "    var fig = event.data.fig;\n",
           "    if (event.target !== this) {\n",
           "        // Ignore bubbled events from children.\n",
           "        return;\n",
           "    }\n",
           "    fig.close_ws(fig, {});\n",
           "};\n",
           "\n",
           "mpl.figure.prototype._root_extra_style = function (el) {\n",
           "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
           "};\n",
           "\n",
           "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
           "    // this is important to make the div 'focusable\n",
           "    el.setAttribute('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",
           "    } else {\n",
           "        // location in version 2\n",
           "        IPython.keyboard_manager.register_events(el);\n",
           "    }\n",
           "};\n",
           "\n",
           "mpl.figure.prototype._key_event_extra = function (event, _name) {\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",
           "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(\n",
           "        'matplotlib',\n",
           "        mpl.mpl_figure_comm\n",
           "    );\n",
           "}\n"
          ],
          "text/plain": [
           "<IPython.core.display.Javascript object>"
          ]
         },
         "metadata": {},
         "output_type": "display_data"
        },
        {
         "data": {
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\" width=\"640\">"
          ],
          "text/plain": [
           "<IPython.core.display.HTML object>"
          ]
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ],
       "source": [
        "show_vol_orientation(volume, vec, 74)"
       ]
      },
      {
       "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": 10,
       "metadata": {},
       "outputs": [
        {
         "data": {
          "application/javascript": [
           "/* Put everything inside the global mpl namespace */\n",
           "/* global mpl */\n",
           "window.mpl = {};\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(\n",
           "            '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",
           "\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 = document.createElement('div');\n",
           "    this.root.setAttribute('style', 'display: inline-block');\n",
           "    this._root_extra_style(this.root);\n",
           "\n",
           "    parent_element.appendChild(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 (fig.ratio !== 1) {\n",
           "            fig.send_message('set_device_pixel_ratio', {\n",
           "                device_pixel_ratio: fig.ratio,\n",
           "            });\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 = document.createElement('div');\n",
           "    titlebar.classList =\n",
           "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
           "    var titletext = document.createElement('div');\n",
           "    titletext.classList = 'ui-dialog-title';\n",
           "    titletext.setAttribute(\n",
           "        'style',\n",
           "        'width: 100%; text-align: center; padding: 3px;'\n",
           "    );\n",
           "    titlebar.appendChild(titletext);\n",
           "    this.root.appendChild(titlebar);\n",
           "    this.header = titletext;\n",
           "};\n",
           "\n",
           "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
           "\n",
           "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
           "\n",
           "mpl.figure.prototype._init_canvas = function () {\n",
           "    var fig = this;\n",
           "\n",
           "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
           "    canvas_div.setAttribute(\n",
           "        'style',\n",
           "        'border: 1px solid #ddd;' +\n",
           "            'box-sizing: content-box;' +\n",
           "            'clear: both;' +\n",
           "            'min-height: 1px;' +\n",
           "            'min-width: 1px;' +\n",
           "            'outline: 0;' +\n",
           "            'overflow: hidden;' +\n",
           "            'position: relative;' +\n",
           "            'resize: both;'\n",
           "    );\n",
           "\n",
           "    function on_keyboard_event_closure(name) {\n",
           "        return function (event) {\n",
           "            return fig.key_event(event, name);\n",
           "        };\n",
           "    }\n",
           "\n",
           "    canvas_div.addEventListener(\n",
           "        'keydown',\n",
           "        on_keyboard_event_closure('key_press')\n",
           "    );\n",
           "    canvas_div.addEventListener(\n",
           "        'keyup',\n",
           "        on_keyboard_event_closure('key_release')\n",
           "    );\n",
           "\n",
           "    this._canvas_extra_style(canvas_div);\n",
           "    this.root.appendChild(canvas_div);\n",
           "\n",
           "    var canvas = (this.canvas = document.createElement('canvas'));\n",
           "    canvas.classList.add('mpl-canvas');\n",
           "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
           "\n",
           "    this.context = canvas.getContext('2d');\n",
           "\n",
           "    var backingStore =\n",
           "        this.context.backingStorePixelRatio ||\n",
           "        this.context.webkitBackingStorePixelRatio ||\n",
           "        this.context.mozBackingStorePixelRatio ||\n",
           "        this.context.msBackingStorePixelRatio ||\n",
           "        this.context.oBackingStorePixelRatio ||\n",
           "        this.context.backingStorePixelRatio ||\n",
           "        1;\n",
           "\n",
           "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
           "\n",
           "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
           "        'canvas'\n",
           "    ));\n",
           "    rubberband_canvas.setAttribute(\n",
           "        'style',\n",
           "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
           "    );\n",
           "\n",
           "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
           "    if (this.ResizeObserver === undefined) {\n",
           "        if (window.ResizeObserver !== undefined) {\n",
           "            this.ResizeObserver = window.ResizeObserver;\n",
           "        } else {\n",
           "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
           "            this.ResizeObserver = obs.ResizeObserver;\n",
           "        }\n",
           "    }\n",
           "\n",
           "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
           "        var nentries = entries.length;\n",
           "        for (var i = 0; i < nentries; i++) {\n",
           "            var entry = entries[i];\n",
           "            var width, height;\n",
           "            if (entry.contentBoxSize) {\n",
           "                if (entry.contentBoxSize instanceof Array) {\n",
           "                    // Chrome 84 implements new version of spec.\n",
           "                    width = entry.contentBoxSize[0].inlineSize;\n",
           "                    height = entry.contentBoxSize[0].blockSize;\n",
           "                } else {\n",
           "                    // Firefox implements old version of spec.\n",
           "                    width = entry.contentBoxSize.inlineSize;\n",
           "                    height = entry.contentBoxSize.blockSize;\n",
           "                }\n",
           "            } else {\n",
           "                // Chrome <84 implements even older version of spec.\n",
           "                width = entry.contentRect.width;\n",
           "                height = entry.contentRect.height;\n",
           "            }\n",
           "\n",
           "            // Keep the size of the canvas and rubber band canvas in sync with\n",
           "            // the canvas container.\n",
           "            if (entry.devicePixelContentBoxSize) {\n",
           "                // Chrome 84 implements new version of spec.\n",
           "                canvas.setAttribute(\n",
           "                    'width',\n",
           "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
           "                );\n",
           "                canvas.setAttribute(\n",
           "                    'height',\n",
           "                    entry.devicePixelContentBoxSize[0].blockSize\n",
           "                );\n",
           "            } else {\n",
           "                canvas.setAttribute('width', width * fig.ratio);\n",
           "                canvas.setAttribute('height', height * fig.ratio);\n",
           "            }\n",
           "            canvas.setAttribute(\n",
           "                'style',\n",
           "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
           "            );\n",
           "\n",
           "            rubberband_canvas.setAttribute('width', width);\n",
           "            rubberband_canvas.setAttribute('height', height);\n",
           "\n",
           "            // And update the size in Python. We ignore the initial 0/0 size\n",
           "            // that occurs as the element is placed into the DOM, which should\n",
           "            // otherwise not happen due to the minimum size styling.\n",
           "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
           "                fig.request_resize(width, height);\n",
           "            }\n",
           "        }\n",
           "    });\n",
           "    this.resizeObserverInstance.observe(canvas_div);\n",
           "\n",
           "    function on_mouse_event_closure(name) {\n",
           "        return function (event) {\n",
           "            return fig.mouse_event(event, name);\n",
           "        };\n",
           "    }\n",
           "\n",
           "    rubberband_canvas.addEventListener(\n",
           "        'mousedown',\n",
           "        on_mouse_event_closure('button_press')\n",
           "    );\n",
           "    rubberband_canvas.addEventListener(\n",
           "        'mouseup',\n",
           "        on_mouse_event_closure('button_release')\n",
           "    );\n",
           "    rubberband_canvas.addEventListener(\n",
           "        'dblclick',\n",
           "        on_mouse_event_closure('dblclick')\n",
           "    );\n",
           "    // Throttle sequential mouse events to 1 every 20ms.\n",
           "    rubberband_canvas.addEventListener(\n",
           "        'mousemove',\n",
           "        on_mouse_event_closure('motion_notify')\n",
           "    );\n",
           "\n",
           "    rubberband_canvas.addEventListener(\n",
           "        'mouseenter',\n",
           "        on_mouse_event_closure('figure_enter')\n",
           "    );\n",
           "    rubberband_canvas.addEventListener(\n",
           "        'mouseleave',\n",
           "        on_mouse_event_closure('figure_leave')\n",
           "    );\n",
           "\n",
           "    canvas_div.addEventListener('wheel', function (event) {\n",
           "        if (event.deltaY < 0) {\n",
           "            event.step = 1;\n",
           "        } else {\n",
           "            event.step = -1;\n",
           "        }\n",
           "        on_mouse_event_closure('scroll')(event);\n",
           "    });\n",
           "\n",
           "    canvas_div.appendChild(canvas);\n",
           "    canvas_div.appendChild(rubberband_canvas);\n",
           "\n",
           "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
           "    this.rubberband_context.strokeStyle = '#000000';\n",
           "\n",
           "    this._resize_canvas = function (width, height, forward) {\n",
           "        if (forward) {\n",
           "            canvas_div.style.width = width + 'px';\n",
           "            canvas_div.style.height = height + 'px';\n",
           "        }\n",
           "    };\n",
           "\n",
           "    // Disable right mouse context menu.\n",
           "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
           "        event.preventDefault();\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 toolbar = document.createElement('div');\n",
           "    toolbar.classList = 'mpl-toolbar';\n",
           "    this.root.appendChild(toolbar);\n",
           "\n",
           "    function on_click_closure(name) {\n",
           "        return function (_event) {\n",
           "            return fig.toolbar_button_onclick(name);\n",
           "        };\n",
           "    }\n",
           "\n",
           "    function on_mouseover_closure(tooltip) {\n",
           "        return function (event) {\n",
           "            if (!event.currentTarget.disabled) {\n",
           "                return fig.toolbar_button_onmouseover(tooltip);\n",
           "            }\n",
           "        };\n",
           "    }\n",
           "\n",
           "    fig.buttons = {};\n",
           "    var buttonGroup = document.createElement('div');\n",
           "    buttonGroup.classList = 'mpl-button-group';\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",
           "            /* Instead of a spacer, we start a new button group. */\n",
           "            if (buttonGroup.hasChildNodes()) {\n",
           "                toolbar.appendChild(buttonGroup);\n",
           "            }\n",
           "            buttonGroup = document.createElement('div');\n",
           "            buttonGroup.classList = 'mpl-button-group';\n",
           "            continue;\n",
           "        }\n",
           "\n",
           "        var button = (fig.buttons[name] = document.createElement('button'));\n",
           "        button.classList = 'mpl-widget';\n",
           "        button.setAttribute('role', 'button');\n",
           "        button.setAttribute('aria-disabled', 'false');\n",
           "        button.addEventListener('click', on_click_closure(method_name));\n",
           "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
           "\n",
           "        var icon_img = document.createElement('img');\n",
           "        icon_img.src = '_images/' + image + '.png';\n",
           "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
           "        icon_img.alt = tooltip;\n",
           "        button.appendChild(icon_img);\n",
           "\n",
           "        buttonGroup.appendChild(button);\n",
           "    }\n",
           "\n",
           "    if (buttonGroup.hasChildNodes()) {\n",
           "        toolbar.appendChild(buttonGroup);\n",
           "    }\n",
           "\n",
           "    var fmt_picker = document.createElement('select');\n",
           "    fmt_picker.classList = 'mpl-widget';\n",
           "    toolbar.appendChild(fmt_picker);\n",
           "    this.format_dropdown = fmt_picker;\n",
           "\n",
           "    for (var ind in mpl.extensions) {\n",
           "        var fmt = mpl.extensions[ind];\n",
           "        var option = document.createElement('option');\n",
           "        option.selected = fmt === mpl.default_extension;\n",
           "        option.innerHTML = fmt;\n",
           "        fmt_picker.appendChild(option);\n",
           "    }\n",
           "\n",
           "    var status_bar = document.createElement('span');\n",
           "    status_bar.classList = 'mpl-message';\n",
           "    toolbar.appendChild(status_bar);\n",
           "    this.message = status_bar;\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",
           "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",
           "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], msg['forward']);\n",
           "        fig.send_message('refresh', {});\n",
           "    }\n",
           "};\n",
           "\n",
           "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
           "    var x0 = msg['x0'] / fig.ratio;\n",
           "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
           "    var x1 = msg['x1'] / fig.ratio;\n",
           "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
           "        0,\n",
           "        fig.canvas.width / fig.ratio,\n",
           "        fig.canvas.height / fig.ratio\n",
           "    );\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",
           "    fig.rubberband_canvas.style.cursor = msg['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.handle_history_buttons = function (fig, msg) {\n",
           "    for (var key in msg) {\n",
           "        if (!(key in fig.buttons)) {\n",
           "            continue;\n",
           "        }\n",
           "        fig.buttons[key].disabled = !msg[key];\n",
           "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
           "    }\n",
           "};\n",
           "\n",
           "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
           "    if (msg['mode'] === 'PAN') {\n",
           "        fig.buttons['Pan'].classList.add('active');\n",
           "        fig.buttons['Zoom'].classList.remove('active');\n",
           "    } else if (msg['mode'] === 'ZOOM') {\n",
           "        fig.buttons['Pan'].classList.remove('active');\n",
           "        fig.buttons['Zoom'].classList.add('active');\n",
           "    } else {\n",
           "        fig.buttons['Pan'].classList.remove('active');\n",
           "        fig.buttons['Zoom'].classList.remove('active');\n",
           "    }\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",
           "            var img = evt.data;\n",
           "            if (img.type !== 'image/png') {\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",
           "                img.type = 'image/png';\n",
           "            }\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",
           "\n",
           "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
           "                img\n",
           "            );\n",
           "            fig.updated_canvas_event();\n",
           "            fig.waiting = false;\n",
           "            return;\n",
           "        } else if (\n",
           "            typeof evt.data === 'string' &&\n",
           "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
           "        ) {\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(\n",
           "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
           "                msg\n",
           "            );\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(\n",
           "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
           "                    e,\n",
           "                    e.stack,\n",
           "                    msg\n",
           "                );\n",
           "            }\n",
           "        }\n",
           "    };\n",
           "};\n",
           "\n",
           "// from https://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",
           "    }\n",
           "    if (e.target) {\n",
           "        targ = e.target;\n",
           "    } else if (e.srcElement) {\n",
           "        targ = e.srcElement;\n",
           "    }\n",
           "    if (targ.nodeType === 3) {\n",
           "        // defeat Safari bug\n",
           "        targ = targ.parentNode;\n",
           "    }\n",
           "\n",
           "    // pageX,Y are the mouse positions relative to the document\n",
           "    var boundingRect = targ.getBoundingClientRect();\n",
           "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
           "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
           " * https://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",
           "        }\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",
           "        this.canvas.focus();\n",
           "        this.canvas_div.focus();\n",
           "    }\n",
           "\n",
           "    var x = canvas_pos.x * this.ratio;\n",
           "    var y = canvas_pos.y * this.ratio;\n",
           "\n",
           "    this.send_message(name, {\n",
           "        x: x,\n",
           "        y: y,\n",
           "        button: event.button,\n",
           "        step: event.step,\n",
           "        guiEvent: simpleKeys(event),\n",
           "    });\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",
           "    // Prevent repeat events\n",
           "    if (name === 'key_press') {\n",
           "        if (event.key === this._key) {\n",
           "            return;\n",
           "        } else {\n",
           "            this._key = event.key;\n",
           "        }\n",
           "    }\n",
           "    if (name === 'key_release') {\n",
           "        this._key = null;\n",
           "    }\n",
           "\n",
           "    var value = '';\n",
           "    if (event.ctrlKey && event.key !== 'Control') {\n",
           "        value += 'ctrl+';\n",
           "    }\n",
           "    else if (event.altKey && event.key !== 'Alt') {\n",
           "        value += 'alt+';\n",
           "    }\n",
           "    else if (event.shiftKey && event.key !== 'Shift') {\n",
           "        value += 'shift+';\n",
           "    }\n",
           "\n",
           "    value += 'k' + event.key;\n",
           "\n",
           "    this._key_event_extra(event, name);\n",
           "\n",
           "    this.send_message(name, { key: value, 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",
           "\n",
           "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
           "// prettier-ignore\n",
           "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
           "\n",
           "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
           "\n",
           "mpl.default_extension = \"png\";/* global mpl */\n",
           "\n",
           "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.binaryType = comm.kernel.ws.binaryType;\n",
           "    ws.readyState = comm.kernel.ws.readyState;\n",
           "    function updateReadyState(_event) {\n",
           "        if (comm.kernel.ws) {\n",
           "            ws.readyState = comm.kernel.ws.readyState;\n",
           "        } else {\n",
           "            ws.readyState = 3; // Closed state.\n",
           "        }\n",
           "    }\n",
           "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
           "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
           "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
           "        var data = msg['content']['data'];\n",
           "        if (data['blob'] !== undefined) {\n",
           "            data = {\n",
           "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
           "            };\n",
           "        }\n",
           "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
           "        ws.onmessage(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 = document.getElementById(id);\n",
           "    var ws_proxy = comm_websocket_adapter(comm);\n",
           "\n",
           "    function ondownload(figure, _format) {\n",
           "        window.open(figure.canvas.toDataURL());\n",
           "    }\n",
           "\n",
           "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
           "    fig.cell_info[0].output_area.element.on(\n",
           "        'cleared',\n",
           "        { fig: fig },\n",
           "        fig._remove_fig_handler\n",
           "    );\n",
           "};\n",
           "\n",
           "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
           "    var width = fig.canvas.width / fig.ratio;\n",
           "    fig.cell_info[0].output_area.element.off(\n",
           "        'cleared',\n",
           "        fig._remove_fig_handler\n",
           "    );\n",
           "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
           "        '<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 / this.ratio;\n",
           "    var dataURL = this.canvas.toDataURL();\n",
           "    this.cell_info[1]['text/html'] =\n",
           "        '<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 () {\n",
           "        fig.push_to_output();\n",
           "    }, 1000);\n",
           "};\n",
           "\n",
           "mpl.figure.prototype._init_toolbar = function () {\n",
           "    var fig = this;\n",
           "\n",
           "    var toolbar = document.createElement('div');\n",
           "    toolbar.classList = 'btn-toolbar';\n",
           "    this.root.appendChild(toolbar);\n",
           "\n",
           "    function on_click_closure(name) {\n",
           "        return function (_event) {\n",
           "            return fig.toolbar_button_onclick(name);\n",
           "        };\n",
           "    }\n",
           "\n",
           "    function on_mouseover_closure(tooltip) {\n",
           "        return function (event) {\n",
           "            if (!event.currentTarget.disabled) {\n",
           "                return fig.toolbar_button_onmouseover(tooltip);\n",
           "            }\n",
           "        };\n",
           "    }\n",
           "\n",
           "    fig.buttons = {};\n",
           "    var buttonGroup = document.createElement('div');\n",
           "    buttonGroup.classList = 'btn-group';\n",
           "    var button;\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",
           "            /* Instead of a spacer, we start a new button group. */\n",
           "            if (buttonGroup.hasChildNodes()) {\n",
           "                toolbar.appendChild(buttonGroup);\n",
           "            }\n",
           "            buttonGroup = document.createElement('div');\n",
           "            buttonGroup.classList = 'btn-group';\n",
           "            continue;\n",
           "        }\n",
           "\n",
           "        button = fig.buttons[name] = document.createElement('button');\n",
           "        button.classList = 'btn btn-default';\n",
           "        button.href = '#';\n",
           "        button.title = name;\n",
           "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
           "        button.addEventListener('click', on_click_closure(method_name));\n",
           "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
           "        buttonGroup.appendChild(button);\n",
           "    }\n",
           "\n",
           "    if (buttonGroup.hasChildNodes()) {\n",
           "        toolbar.appendChild(buttonGroup);\n",
           "    }\n",
           "\n",
           "    // Add the status bar.\n",