affinder_test.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "28eaec5b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import napari\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from skimage.io import imread\n",
    "from skimage import data, transform\n",
    "from scipy.ndimage import affine_transform"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ffa28722",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\kmkedz\\.conda\\envs\\napari-tests\\lib\\site-packages\\napari_tools_menu\\__init__.py:165: FutureWarning: Public access to Window.qt_viewer is deprecated and will be removed in\n",
      "v0.5.0. It is considered an \"implementation detail\" of the napari\n",
      "application, not part of the napari viewer model. If your use case\n",
      "requires access to qt_viewer, please open an issue to discuss.\n",
      "  self.tools_menu = ToolsMenu(self, self.qt_viewer.viewer)\n",
      "C:\\Users\\kmkedz\\.conda\\envs\\napari-tests\\lib\\site-packages\\affinder\\affinder.py:28: FutureWarning: Private attribute access ('Viewer._canvas_size') in this context (e.g. inside a plugin widget or dock widget) is deprecated and will be unavailable in version 0.5.0\n",
      "  viewer.camera.zoom = np.min(viewer._canvas_size) / np.max(size)\n",
      "C:\\Users\\kmkedz\\.conda\\envs\\napari-tests\\lib\\site-packages\\numpy\\core\\numeric.py:2446: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  return bool(asarray(a1 == a2).all())\n",
      "C:\\Users\\kmkedz\\.conda\\envs\\napari-tests\\lib\\site-packages\\numpy\\core\\numeric.py:2446: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  return bool(asarray(a1 == a2).all())\n",
      "C:\\Users\\kmkedz\\.conda\\envs\\napari-tests\\lib\\site-packages\\affinder\\affinder.py:28: FutureWarning: Private attribute access ('Viewer._canvas_size') in this context (e.g. inside a plugin widget or dock widget) is deprecated and will be unavailable in version 0.5.0\n",
      "  viewer.camera.zoom = np.min(viewer._canvas_size) / np.max(size)\n",
      "C:\\Users\\kmkedz\\.conda\\envs\\napari-tests\\lib\\site-packages\\affinder\\affinder.py:28: FutureWarning: Private attribute access ('Viewer._canvas_size') in this context (e.g. inside a plugin widget or dock widget) is deprecated and will be unavailable in version 0.5.0\n",
      "  viewer.camera.zoom = np.min(viewer._canvas_size) / np.max(size)\n"
     ]
    }
   ],
   "source": [
    "image0 = data.camera()\n",
    "image1 = transform.rotate(image0, 60)\n",
    "\n",
    "viewer = napari.Viewer()\n",
    "l0 = viewer.add_image(image0, colormap='green', blending='additive')\n",
    "l1 = viewer.add_image(image1, colormap='magenta', blending='additive')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01bcc04f",
   "metadata": {},
   "source": [
    "Using Affinder GUI:\n",
    "\n",
    "1. Start affinder \n",
    "2. Select layers for 'reference' (image0) and 'moving'(image1)\n",
    "3. model - 'similarity'\n",
    "4. choose output file ('D:\\test_mat.txt')\n",
    "5. click points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5c20d0f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[144.92336549, 323.27277599],\n",
       "       [166.32529475, 249.73794212],\n",
       "       [129.0091104 , 186.08092176]])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p1 = viewer.layers['image0_pts'].data\n",
    "p1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "53b71aec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[142.72829582, 194.86120043],\n",
       "       [214.06806002, 178.94694534],\n",
       "       [251.38424437, 111.99732047]])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p2 = viewer.layers['image1_pts'].data\n",
    "p2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f7ae2c34",
   "metadata": {},
   "outputs": [],
   "source": [
    "tf = transform.estimate_transform('similarity', p2, p1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ee8f3ae2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<SimilarityTransform(matrix=\n",
       "    [[  0.50871501,   0.87001028, -97.26286   ],\n",
       "     [ -0.87001028,   0.50871501, 347.02615919],\n",
       "     [  0.        ,   0.        ,   1.        ]]) at 0x1a00c180640>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6b3539fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[  0.50871501,   0.87001028, -97.26286   ],\n",
       "       [ -0.87001028,   0.50871501, 347.02615919],\n",
       "       [  0.        ,   0.        ,   1.        ]])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_mat = np.loadtxt(r'D:\\test_mat.txt',delimiter=',')\n",
    "test_mat"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84a734af",
   "metadata": {},
   "source": [
    "tf is identical with the matrix saved by Affinder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "48e43889",
   "metadata": {},
   "outputs": [],
   "source": [
    "im_alig = transform.warp(image1,tf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c98a099d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Image layer 'im_alig' at 0x1a00c180910>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "viewer.add_image(im_alig, colormap='green', blending='additive')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "959b9d26",
   "metadata": {},
   "source": [
    "## Testing scipy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "636292f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def matrix_rc2xy(affine_matrix):\n",
    "    swapped_cols = affine_matrix[:, [1, 0, 2]]\n",
    "    swapped_rows = swapped_cols[[1, 0, 2], :]\n",
    "    return swapped_rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "302041cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "tf_swapped = matrix_rc2xy(test_mat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ce70c54e",
   "metadata": {},
   "outputs": [],
   "source": [
    "im_alig_scipy = affine_transform(image1,tf_swapped)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "5462fdb5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Image layer 'im_alig_scipy' at 0x1a004d825e0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "viewer.add_image(im_alig_scipy, colormap='red', blending='additive')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6981eae",
   "metadata": {},
   "source": [
    "## Meantime in napari"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f3e5c397",
   "metadata": {},
   "outputs": [],
   "source": [
    "im = imread(r'D:\\capture.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "fdc92c9e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "/* 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",
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       "    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",
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       "    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",
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       "        fig.send_message('refresh', {});\n",
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       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
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       "            // 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",
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       "        '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",
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       "                    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",
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       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
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       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
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       "                );\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",
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       "        }\n",
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       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
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       "\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",
       "    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>"
      ]
     },
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     "output_type": "display_data"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1a00c87c100>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "plt.imshow(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "46f1c72c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}