{
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Photon-count analysis: Intensity (I.U.) at t = 0\n",
        "\n",
        "María Ortiz Rodríguez"
      ],
      "metadata": {
        "id": "2_nJUKzButnV"
      },
      "id": "2_nJUKzButnV"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "52a9fdb0",
      "metadata": {
        "id": "52a9fdb0",
        "outputId": "b4936f4e-c753-4ebc-b2ba-7612fac5f4de"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Warning: Cannot change to a different GUI toolkit: ipympl. Using notebook instead.\n"
          ]
        }
      ],
      "source": [
        "from matplotlib import pyplot as plt\n",
        "import numpy as np\n",
        "import lumicks.pylake as lk\n",
        "from tkinter import filedialog\n",
        "from tkinter import *\n",
        "import os\n",
        "from pandas import DataFrame as df\n",
        "from pandas import ExcelWriter\n",
        "import matplotlib\n",
        "from math import ceil, floor\n",
        "import datetime\n",
        "%matplotlib notebook\n",
        "%matplotlib ipympl\n",
        "\n",
        "from matplotlib.widgets import RectangleSelector"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "9ec439fa",
      "metadata": {
        "id": "9ec439fa"
      },
      "outputs": [],
      "source": [
        "##############################################################################\n",
        "# Formatting Parameters\n",
        "number_padding = 50\n",
        "rectproperties = dict(facecolor='cyan', edgecolor = 'blue',alpha=0.2, fill=True)\n",
        "\n",
        "# Output Parameters\n",
        "opt_to_show_regions_extracted = \"yes\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "49ad655b",
      "metadata": {
        "id": "49ad655b"
      },
      "outputs": [],
      "source": [
        "##############################################################################\n",
        "#Function defintion section\n",
        "#############################################################################\n",
        "# function to extract the necessary data from .h5 files\n",
        "def extract_image_data(filepath):\n",
        "    h5_file = lk.File(filepath)\n",
        "    kymo_obj = list(h5_file.kymos)[0]\n",
        "\n",
        "    line_time_seconds = h5_file.kymos[kymo_obj].line_time_seconds\n",
        "\n",
        "    im_g = h5_file.kymos[kymo_obj].get_image(channel = \"green\")#green_image\n",
        "    im_r = h5_file.kymos[kymo_obj].get_image(channel = \"red\")#red_image\n",
        "    im_b = h5_file.kymos[kymo_obj].get_image(channel = \"blue\")#blue_image\n",
        "\n",
        "    pixel_size = float(h5_file.kymos[kymo_obj].pixelsize_um[0]) * 1000\n",
        "\n",
        "    return im_g, im_r, im_b, line_time_seconds, pixel_size\n",
        "\n",
        "# get maximum photon counts for rescaling later\n",
        "def extract_max_counts(list_to_extract_maxes):\n",
        "    len_list_to_extract = len(list_to_extract_maxes)\n",
        "\n",
        "    if len_list_to_extract == 0:\n",
        "        print('List is empty!')\n",
        "        return\n",
        "\n",
        "    list_to_export = []\n",
        "\n",
        "    for i in range(0,len_list_to_extract):\n",
        "        list_to_export.append(np.amax(list_to_extract_maxes[i]))\n",
        "\n",
        "    return list_to_export\n",
        "\n",
        "\"\"\"\n",
        "The next two functions are used in drawing the rectangle as you draw it on the plot\n",
        "\"\"\"\n",
        "# basic_area =[]\n",
        "# rect_one = []\n",
        "# rect_two = []\n",
        "def get_rect_dimensions(eclick,erelease):\n",
        "    global basic_area\n",
        "    global rect_one\n",
        "    global rect_two\n",
        "    x, y = eclick.inaxes.transData.inverted().transform((eclick.x, eclick.y))\n",
        "    x2, y2 = erelease.inaxes.transData.inverted().transform((erelease.x, erelease.y))\n",
        "\n",
        "    min_x = int(min( x , x2 ))\n",
        "    min_y = int(min( y , y2))\n",
        "\n",
        "    delta_x = int(abs(x2 - x))\n",
        "    delta_y = int(abs(y2 - y))\n",
        "\n",
        "    basic_area = [ [min_x , min_x + delta_x] , [ min_y , min_y + delta_y] ] # NO LO SACA!!!!!!!!!!!!!!!!!!!!!!\n",
        "\n",
        "    #basic_area.append([ [min_x , min_x + delta_x] , [ min_y , min_y + delta_y] ])\n",
        "    return\n",
        "def draw_temp_rectangle(event):\n",
        "    return\n",
        "\n",
        "def plot_on_fig(center_point,edge_color='orange',text_to_label=\"\"):\n",
        "    patch_to_plot = matplotlib.patches.Rectangle((center_point[1], center_point[0] - ceil(dims_to_extract[0]/2)),dims_to_extract[1],dims_to_extract[0],linewidth=1,edgecolor=edge_color,facecolor='none')\n",
        "    axRGB.add_patch(patch_to_plot)\n",
        "\n",
        "    if text_to_label != \"\":\n",
        "        axRGB.annotate(text_to_label,(center_point[1] + ceil(dims_to_extract[1]/2), center_point[0]), color='white', weight='bold', fontsize=10, ha='center', va='center')\n",
        "\n",
        "    return\n",
        "\n",
        "def add_point_to_extract(event):\n",
        "    x, y = event.inaxes.transData.inverted().transform((event.x , event.y))\n",
        "    list_of_points.append([floor(y),floor(x)])\n",
        "    #plot_on_fig(list_of_points[-1])\n",
        "    return\n",
        "\n",
        "def send_dict_to_excel(dict_obj,average_list,std_list,writer_obj,sheet_name):\n",
        "    dict_obj[''] = np.array([])\n",
        "    dict_obj['Region #'] = np.asarray(list_of_region_number)\n",
        "    dict_obj['# Timepoints'] = np.asarray(list_of_num_time_steps)\n",
        "    dict_obj['Average'] = np.asarray(average_list)\n",
        "    dict_obj['Standard Deviation'] = np.asarray(std_list)\n",
        "\n",
        "    #now send dict to excel sheet\n",
        "    pd_data_frame_dict = df.from_dict(dict_obj,orient='index')\n",
        "    pd_data_frame_dict = pd_data_frame_dict.transpose()\n",
        "    pd_data_frame_dict.to_excel(writer,sheet_name=sheet_name,index=False,header=True)\n",
        "    return\n",
        "\n",
        "def define_region(green_photon_counts, scaling_opt):#red_photon_counts, scaling_opt):\n",
        "# def area_extract\n",
        "    fig, axRGB = plt.subplots(nrows=1,ncols=1,constrained_layout=True)\n",
        "    figManager = plt.get_current_fig_manager()\n",
        "\n",
        "    axRGB.imshow(np.dstack((green_photon_counts*scaling_opt[0],green_photon_counts*scaling_opt[1],green_photon_counts*scaling_opt[2])).astype(int), aspect=\"auto\")\n",
        "#     axRGB.imshow(np.dstack((red_photon_counts*scaling_opt[0],green_photon_counts*scaling_opt[1],green_photon_counts*scaling_opt[2])).astype(int), aspect=\"auto\")\n",
        "\n",
        "    axRGB.axis('off')\n",
        "\n",
        "    print('Draw a box to define the area to extract pixels from!')\n",
        "    plt.title('Draw a box to define the area to extract pixels from!')\n",
        "    draw_temp_rectangle.RS = matplotlib.widgets.RectangleSelector(axRGB, get_rect_dimensions, props=rectproperties)\n",
        "\n",
        "    fig.canvas.mpl_connect('button_press_event', draw_temp_rectangle)\n",
        "\n",
        "    plt.show()\n",
        "    #plt.close()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "a27f8888",
      "metadata": {
        "id": "a27f8888",
        "outputId": "a008fa66-68a8-4f1e-eb89-0a242c17a064"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "##################################################\n",
            "\n",
            "Please navigate to and select the .h5 file of interest\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "'F:/Tesis_Maria/Ordenador_IMDEA/c_traps_BUENAS/isma_photobleaching/PHOTONCOUNTS/twinkle_3pN/sept 2024/19 3 pN twinkle mtSSB 1 1 ATP horquilla/12/20240919-154020 Kymograph 15.h5'"
            ]
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "print(\"#\"*number_padding+'\\n')\n",
        "print('Please navigate to and select the .h5 file of interest')\n",
        "root = Tk()\n",
        "root.withdraw()\n",
        "file_selected = filedialog.askopenfilename()\n",
        "folder_selected = \"/\".join(file_selected.split('/')[:-1])\n",
        "os.chdir(folder_selected)\n",
        "\n",
        "nombre = (file_selected)\n",
        "nombre"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "c08459af",
      "metadata": {
        "id": "c08459af",
        "outputId": "55a495e8-d42e-4b12-cbc9-83e664f69d73"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "What colors would you like to output?\n",
            "Example Inputs ('RG' for just Red and Green or 'RGB' for all):\n",
            "G\n",
            "File import is complete!\n",
            "##################################################\n",
            "\n",
            "Would you like to apply a multiplier to the scaling (to mimic CTrapVis)?\n",
            "If no, just hit enter. If yes enter the R-G-B multiplier you want\n",
            "Ex: 0-25-0 to multiply Green by 25\n",
            "0-100-0\n",
            "\n",
            "Multiplying photon counts by:\n",
            "Red - 0.0\n",
            "Green - 100.0\n",
            "Blue - 0.0\n",
            "\n"
          ]
        }
      ],
      "source": [
        "\n",
        "\n",
        "which_color_option = input(\"What colors would you like to output?\\nExample Inputs ('RG' for just Red and Green or 'RGB' for all):\\n\")\n",
        "\n",
        "green_photon_counts, red_photon_counts, blue_photon_counts, line_time, pixel_size_nm = extract_image_data(file_selected)\n",
        "max_rgb_counts = extract_max_counts([red_photon_counts,green_photon_counts,blue_photon_counts])\n",
        "\n",
        "time_array = np.linspace(0,green_photon_counts.shape[1] * line_time,green_photon_counts.shape[1])\n",
        "assert len(time_array) == green_photon_counts.shape[1], 'Time array generation is not working'\n",
        "assert time_array[0] == 0, 'Making sure the time array starts at zero'\n",
        "\n",
        "maxTrueTime = line_time * green_photon_counts.shape[1]\n",
        "maxTrueDist = pixel_size_nm * green_photon_counts.shape[0]\n",
        "\n",
        "print('File import is complete!')\n",
        "print(\"#\"*number_padding+'\\n')\n",
        "\n",
        "scaling_opt = input('Would you like to apply a multiplier to the scaling (to mimic CTrapVis)?\\nIf no, just hit enter. If yes enter the R-G-B multiplier you want\\nEx: 0-25-0 to multiply Green by 25\\n')\n",
        "if scaling_opt != '':\n",
        "    scaling_opt = list(map(float,scaling_opt.split('-')))\n",
        "    print(f\"\\nMultiplying photon counts by:\\nRed - {scaling_opt[0]}\\nGreen - {scaling_opt[1]}\\nBlue - {scaling_opt[2]}\\n\")\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "6c0fb298",
      "metadata": {
        "id": "6c0fb298"
      },
      "outputs": [],
      "source": [
        "#Prueba DT --> Solo sirve para sacar parámetros de las ctraps\n",
        "\n",
        "filepath = file_selected\n",
        "h5_file = lk.File(filepath)\n",
        "kymo_obj = list(h5_file.kymos)[0]\n",
        "\n",
        "line_time_seconds = h5_file.kymos[kymo_obj].line_time_seconds\n",
        "# print(h5.kymos[kymo_obj].line_timest)\n",
        "im_g = h5_file.kymos[kymo_obj].get_image(channel = \"green\")#green_image\n",
        "im_r = h5_file.kymos[kymo_obj].get_image(channel = \"red\")#red_image\n",
        "im_b = h5_file.kymos[kymo_obj].get_image(channel = \"blue\")#blue_image\n",
        "\n",
        "pixel_size = float(h5_file.kymos[kymo_obj].pixelsize_um[0]) * 1000\n",
        "\n",
        "print(h5_file.kymos[kymo_obj].motion_blur_constant)\n",
        "# return im_g, im_r, im_b, line_time_seconds, pixel_size\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "aa05ab5f",
      "metadata": {
        "id": "aa05ab5f"
      },
      "source": [
        "La siguiente celda es un plot para eliminar las beads del kymograma.\n",
        "\n",
        "# IMPORTANTE:\n",
        "**1.Seleccionar la bead de abajo.** \\\n",
        "**2.Activar la variable *list_of_points* y runear la celda de abajo. (se puede silenciar/desilenciar con ctrl + ç)** \\\n",
        "**3.Sin runear de nuevo la celda de *define_region*, seleccionar la bead de arriba.** \\\n",
        "**4.Silenciar de nuevo la variable *list_of_points* y volver a correr esa celda.**\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "7cf433ae",
      "metadata": {
        "scrolled": false,
        "id": "7cf433ae",
        "outputId": "bf00cc52-e395-4abc-f863-bec0fd1b02c8"
      },
      "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",
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              "    this._init_toolbar(this);\n",
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              "    var fig = this;\n",
              "\n",
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              "\n",
              "    this.ws.onopen = function () {\n",
              "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
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              "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
              "        }\n",
              "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
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              "        fig.ws.close();\n",
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              "    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('tabindex', '0');\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",
              "            'z-index: 2;'\n",
              "    );\n",
              "\n",
              "    function on_keyboard_event_closure(name) {\n",
              "        return function (event) {\n",
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              "\n",
              "    canvas_div.addEventListener(\n",
              "        'keydown',\n",
              "        on_keyboard_event_closure('key_press')\n",
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              "        'keyup',\n",
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              "\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(\n",
              "        'style',\n",
              "        'box-sizing: content-box;' +\n",
              "            'pointer-events: none;' +\n",
              "            'position: relative;' +\n",
              "            'z-index: 0;'\n",
              "    );\n",
              "\n",
              "    this.context = canvas.getContext('2d');\n",
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              "        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",
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              "        'canvas'\n",
              "    ));\n",
              "    rubberband_canvas.setAttribute(\n",
              "        'style',\n",
              "        'box-sizing: content-box;' +\n",
              "            'left: 0;' +\n",
              "            'pointer-events: none;' +\n",
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              "            'top: 0;' +\n",
              "            'z-index: 1;'\n",
              "    );\n",
              "\n",
              "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
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              "            this.ResizeObserver = obs.ResizeObserver;\n",
              "        }\n",
              "    }\n",
              "\n",
              "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
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              "                    // 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",
              "            /* This rescales the canvas back to display pixels, so that it\n",
              "             * appears correct on HiDPI screens. */\n",
              "            canvas.style.width = width + 'px';\n",
              "            canvas.style.height = height + 'px';\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",
              "        /* User Agent sniffing is bad, but WebKit is busted:\n",
              "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
              "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
              "         * The worst that happens here is that they get an extra browser\n",
              "         * selection when dragging, if this check fails to catch them.\n",
              "         */\n",
              "        var UA = navigator.userAgent;\n",
              "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
              "        if(isWebKit) {\n",
              "            return function (event) {\n",
              "                /* This prevents the web browser from automatically changing to\n",
              "                 * the text insertion cursor when the button is pressed. We\n",
              "                 * want to control all of the cursor setting manually through\n",
              "                 * the 'cursor' event from matplotlib */\n",
              "                event.preventDefault()\n",
              "                return fig.mouse_event(event, name);\n",
              "            };\n",
              "        } else {\n",
              "            return function (event) {\n",
              "                return fig.mouse_event(event, name);\n",
              "            };\n",
              "        }\n",
              "    }\n",
              "\n",
              "    canvas_div.addEventListener(\n",
              "        'mousedown',\n",
              "        on_mouse_event_closure('button_press')\n",
              "    );\n",
              "    canvas_div.addEventListener(\n",
              "        'mouseup',\n",
              "        on_mouse_event_closure('button_release')\n",
              "    );\n",
              "    canvas_div.addEventListener(\n",
              "        'dblclick',\n",
              "        on_mouse_event_closure('dblclick')\n",
              "    );\n",
              "    // Throttle sequential mouse events to 1 every 20ms.\n",
              "    canvas_div.addEventListener(\n",
              "        'mousemove',\n",
              "        on_mouse_event_closure('motion_notify')\n",
              "    );\n",
              "\n",
              "    canvas_div.addEventListener(\n",
              "        'mouseenter',\n",
              "        on_mouse_event_closure('figure_enter')\n",
              "    );\n",
              "    canvas_div.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",
              "    canvas_div.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.canvas_div.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",
              "function getModifiers(event) {\n",
              "    var mods = [];\n",
              "    if (event.ctrlKey) {\n",
              "        mods.push('ctrl');\n",
              "    }\n",
              "    if (event.altKey) {\n",
              "        mods.push('alt');\n",
              "    }\n",
              "    if (event.shiftKey) {\n",
              "        mods.push('shift');\n",
              "    }\n",
              "    if (event.metaKey) {\n",
              "        mods.push('meta');\n",
              "    }\n",
              "    return mods;\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",
              "    if (name === 'button_press') {\n",
              "        this.canvas.focus();\n",
              "        this.canvas_div.focus();\n",
              "    }\n",
              "\n",
              "    // from https://stackoverflow.com/q/1114465\n",
              "    var boundingRect = this.canvas.getBoundingClientRect();\n",
              "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
              "    var y = (event.clientY - boundingRect.top) * this.ratio;\n",
              "\n",
              "    this.send_message(name, {\n",
              "        x: x,\n",
              "        y: y,\n",
              "        button: event.button,\n",
              "        step: event.step,\n",
              "        modifiers: getModifiers(event),\n",
              "        guiEvent: simpleKeys(event),\n",
              "    });\n",
              "\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\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
              "\n",
              "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\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"
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Draw a box to define the area to extract pixels from!\n"
          ]
        }
      ],
      "source": [
        "define_region(green_photon_counts, scaling_opt)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "0137f31a",
      "metadata": {
        "id": "0137f31a",
        "outputId": "c4188a74-794d-44b8-d47b-2de70d8e0e6b"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Box dimensions\n",
            "--------------------------------------------------\n",
            "Pixels 21\n",
            "Timepoints 4119\n",
            "[[209, 1561], [12, 3130]]\n"
          ]
        }
      ],
      "source": [
        "# list_of_points = []\n",
        "\n",
        "dims_to_extract = [basic_area[1][1]-basic_area[1][0], basic_area[0][1]-basic_area[0][0]]\n",
        "\n",
        "if dims_to_extract[0] % 2 == 0:\n",
        "    dims_to_extract[0]= dims_to_extract[0] + 1\n",
        "\n",
        "list_of_points.append([ceil((basic_area[1][1]+basic_area[1][0])/2),basic_area[0][0]])\n",
        "print(f'Box dimensions\\n' + '-'*number_padding + f'\\nPixels {dims_to_extract[0]}\\nTimepoints {dims_to_extract[1]}')\n",
        "\n",
        "print(list_of_points)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "d5b619ad",
      "metadata": {
        "id": "d5b619ad",
        "outputId": "c851044b-05ae-453a-bce4-8b5c15442045"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "198 220\n"
          ]
        }
      ],
      "source": [
        "#Aqui obtenemos nuestra tabla de puntos\n",
        "import pandas as pd\n",
        "\n",
        "# list_of_points\n",
        "df = pd.DataFrame(green_photon_counts)\n",
        "\n",
        "\n",
        "current_point = list_of_points[0]\n",
        "list_of_first_timestamp = (current_point[1])\n",
        "\n",
        "#Removing bead de abajo\n",
        "\n",
        "pixel_ini_b = current_point[0] - ceil(dims_to_extract[0]/2)\n",
        "pixel_fin_b = current_point[0] + ceil(dims_to_extract[0]/2)\n",
        "\n",
        "print(pixel_ini_b, pixel_fin_b)\n",
        "\n",
        "bead_bot = df.iloc[pixel_ini_b:pixel_fin_b,:]\n",
        "data_sin_bead_1 = df.iloc[0:pixel_ini_b-1,:] #160\n",
        "data_sin_bead_1\n",
        "\n",
        "#Removing bead de arriba\n",
        "current_point = list_of_points[1]\n",
        "list_of_first_timestamp = (current_point[1])\n",
        "\n",
        "\n",
        "pixel_ini_t = current_point[0] - ceil(dims_to_extract[0]/2)\n",
        "pixel_fin_t = current_point[0] + ceil(dims_to_extract[0]/2)\n",
        "\n",
        "bead_top = df.iloc[0:pixel_fin_t,:]\n",
        "data_sin_bead_2 = df.iloc[pixel_fin_t-1::,:] #160\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "132e773c",
      "metadata": {
        "scrolled": false,
        "id": "132e773c",
        "outputId": "4e438e78-6fb3-400c-895d-4e3b5f2260d9"
      },
      "outputs": [
        {
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              "     0      1      2      3      4      5      6      7      8      9       \n",
              "23     2.0    0.0    1.0    1.0    2.0    3.0    1.0    3.0    2.0    1.0  \\\n",
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              "27     2.0    1.0    1.0    1.0    0.0    2.0    2.0    0.0    0.0    2.0   \n",
              "..     ...    ...    ...    ...    ...    ...    ...    ...    ...    ...   \n",
              "193    0.0    0.0    0.0    0.0    1.0    1.0    0.0    0.0    0.0    0.0   \n",
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              "195    0.0    0.0    0.0    0.0    0.0    1.0    0.0    1.0    1.0    0.0   \n",
              "196    1.0    2.0    0.0    1.0    1.0    0.0    2.0    0.0    1.0    0.0   \n",
              "197    0.0    2.0    0.0    0.0    1.0    1.0    0.0    1.0    0.0    1.0   \n",
              "\n",
              "     ...  24774  24775  24776  24777  24778  24779  24780  24781  24782  24783  \n",
              "23   ...    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0  \n",
              "24   ...    0.0    0.0    0.0    0.0    0.0    0.0    1.0    0.0    0.0    0.0  \n",
              "25   ...    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0  \n",
              "26   ...    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0  \n",
              "27   ...    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0  \n",
              "..   ...    ...    ...    ...    ...    ...    ...    ...    ...    ...    ...  \n",
              "193  ...    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0  \n",
              "194  ...    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0  \n",
              "195  ...    0.0    1.0    0.0    0.0    0.0    0.0    1.0    1.0    1.0    0.0  \n",
              "196  ...    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0  \n",
              "197  ...    0.0    0.0    0.0    1.0    0.0    0.0    0.0    0.0    0.0    0.0  \n",
              "\n",
              "[175 rows x 24784 columns]"
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#Aqui obtenemos nuestro kymograma sin las beads (que viene de la otra tabla)\n",
        "data_sin_beads = df.iloc[pixel_fin_t:pixel_ini_b,:]\n",
        "data_analysis = green_photon_counts[pixel_fin_t:pixel_ini_b,:]\n",
        "\n",
        "data_sin_beads\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "e9a2dd50",
      "metadata": {
        "id": "e9a2dd50"
      },
      "source": [
        "# Seleccionar una parte del kymograma donde no haya ninguna actividad"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "a658a50f",
      "metadata": {
        "id": "a658a50f",
        "outputId": "474da630-45be-4fa9-9636-831e91971442"
      },
      "outputs": [
        {
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              "            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('tabindex', '0');\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",
              "            'z-index: 2;'\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(\n",
              "        'style',\n",
              "        'box-sizing: content-box;' +\n",
              "            'pointer-events: none;' +\n",
              "            'position: relative;' +\n",
              "            'z-index: 0;'\n",
              "    );\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;' +\n",
              "            'left: 0;' +\n",
              "            'pointer-events: none;' +\n",
              "            'position: absolute;' +\n",
              "            'top: 0;' +\n",
              "            '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",
              "            /* This rescales the canvas back to display pixels, so that it\n",
              "             * appears correct on HiDPI screens. */\n",
              "            canvas.style.width = width + 'px';\n",
              "            canvas.style.height = height + 'px';\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",
              "        /* User Agent sniffing is bad, but WebKit is busted:\n",
              "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
              "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
              "         * The worst that happens here is that they get an extra browser\n",
              "         * selection when dragging, if this check fails to catch them.\n",
              "         */\n",
              "        var UA = navigator.userAgent;\n",
              "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
              "        if(isWebKit) {\n",
              "            return function (event) {\n",
              "                /* This prevents the web browser from automatically changing to\n",
              "                 * the text insertion cursor when the button is pressed. We\n",
              "                 * want to control all of the cursor setting manually through\n",
              "                 * the 'cursor' event from matplotlib */\n",
              "                event.preventDefault()\n",
              "                return fig.mouse_event(event, name);\n",
              "            };\n",
              "        } else {\n",
              "            return function (event) {\n",
              "                return fig.mouse_event(event, name);\n",
              "            };\n",
              "        }\n",
              "    }\n",
              "\n",
              "    canvas_div.addEventListener(\n",
              "        'mousedown',\n",
              "        on_mouse_event_closure('button_press')\n",
              "    );\n",
              "    canvas_div.addEventListener(\n",
              "        'mouseup',\n",
              "        on_mouse_event_closure('button_release')\n",
              "    );\n",
              "    canvas_div.addEventListener(\n",
              "        'dblclick',\n",
              "        on_mouse_event_closure('dblclick')\n",
              "    );\n",
              "    // Throttle sequential mouse events to 1 every 20ms.\n",
              "    canvas_div.addEventListener(\n",
              "        'mousemove',\n",
              "        on_mouse_event_closure('motion_notify')\n",
              "    );\n",
              "\n",
              "    canvas_div.addEventListener(\n",
              "        'mouseenter',\n",
              "        on_mouse_event_closure('figure_enter')\n",
              "    );\n",
              "    canvas_div.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",
              "    canvas_div.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.canvas_div.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",
              "function getModifiers(event) {\n",
              "    var mods = [];\n",
              "    if (event.ctrlKey) {\n",
              "        mods.push('ctrl');\n",
              "    }\n",
              "    if (event.altKey) {\n",
              "        mods.push('alt');\n",
              "    }\n",
              "    if (event.shiftKey) {\n",
              "        mods.push('shift');\n",
              "    }\n",
              "    if (event.metaKey) {\n",
              "        mods.push('meta');\n",
              "    }\n",
              "    return mods;\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",
              "    if (name === 'button_press') {\n",
              "        this.canvas.focus();\n",
              "        this.canvas_div.focus();\n",
              "    }\n",
              "\n",
              "    // from https://stackoverflow.com/q/1114465\n",
              "    var boundingRect = this.canvas.getBoundingClientRect();\n",
              "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
              "    var y = (event.clientY - boundingRect.top) * this.ratio;\n",
              "\n",
              "    this.send_message(name, {\n",
              "        x: x,\n",
              "        y: y,\n",
              "        button: event.button,\n",
              "        step: event.step,\n",
              "        modifiers: getModifiers(event),\n",
              "        guiEvent: simpleKeys(event),\n",
              "    });\n",
              "\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\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
              "\n",
              "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\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>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
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\" width=\"640\">"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Draw a box to define the area to extract pixels from!\n"
          ]
        }
      ],
      "source": [
        "#solo una parte del kymo\n",
        "define_region(data_analysis,scaling_opt)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "0b3cb46e",
      "metadata": {
        "id": "0b3cb46e"
      },
      "source": [
        "# Aqui obtenemos los puntos que hemos quitado y en la siguiente celda se limpia el background"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "bb5afd87",
      "metadata": {
        "id": "bb5afd87",
        "outputId": "e511fa25-8204-4cfc-a0b7-d677c18d19af"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "[25, 4394]\n",
            "Box dimensions\n",
            "--------------------------------------------------\n",
            "Pixels 25\n",
            "Timepoints 4394\n",
            "[28, 1600]\n"
          ]
        }
      ],
      "source": [
        "#removing background!!\n",
        "dims_to_extract_tr = [basic_area[1][1]-basic_area[1][0], basic_area[0][1]-basic_area[0][0]]\n",
        "print(dims_to_extract_tr)\n",
        "if dims_to_extract_tr[0] % 2 == 0:\n",
        "    dims_to_extract_tr[0]= dims_to_extract_tr[0] + 1\n",
        "\n",
        "list_of_points_tr=([ceil((basic_area[1][1]+basic_area[1][0])/2),basic_area[0][0]])\n",
        "print(f'Box dimensions\\n' + '-'*number_padding + f'\\nPixels {dims_to_extract_tr[0]}\\nTimepoints {dims_to_extract_tr[1]}')\n",
        "print(list_of_points_tr)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "2eedff17",
      "metadata": {
        "id": "2eedff17",
        "outputId": "30aeb426-dff7-47df-effa-955a0d28b7f3"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "15 41\n",
            "175\n",
            "0.062053061528529574\n",
            "0.17586919225517314\n",
            "klk 0.062053061528529574\n"
          ]
        }
      ],
      "source": [
        "import pandas as pd\n",
        "# data_analysis = cacho_kymo\n",
        "# data_analysis\n",
        "#Esto por si no está al final y hay que seleccionarlo\n",
        "current_point = list_of_points_tr\n",
        "# list_of_first_timestamp = (current_point[1])\n",
        "#\n",
        "#Removing bead de abajo\n",
        "\n",
        "pixel_ini_back = current_point[0] - ceil(dims_to_extract_tr[0]/2)\n",
        "pixel_fin_back = current_point[0] + ceil(dims_to_extract_tr[0]/2)\n",
        "\n",
        "time_ini_back = current_point[1]\n",
        "time_fin_back = current_point[1]+dims_to_extract_tr[1]\n",
        "\n",
        "\n",
        "\n",
        "print(pixel_ini_back, pixel_fin_back)\n",
        "print(len(data_analysis[:,pixel_ini_back:pixel_fin_back]))\n",
        "print(np.mean(data_analysis[pixel_ini_back:pixel_fin_back,:]))\n",
        "\n",
        "backg = np.mean(data_analysis[pixel_ini_back:pixel_fin_back,:])\n",
        "print(np.mean(data_analysis[pixel_ini_back:pixel_fin_back, time_ini_back:time_fin_back]))\n",
        "print('klk',backg)\n",
        "\n",
        "new = []\n",
        "for i in range((data_analysis.shape[0])):\n",
        "    b = data_analysis[i,:] - backg\n",
        "    b[b <0] = 0\n",
        "#     for j in range(b):\n",
        "#         if j < 0:\n",
        "#             b[j] = 0\n",
        "\n",
        "    new.append(b)\n",
        "\n",
        "#     print(data_analysis[:,i] - backg)\n",
        "####\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "58376c31",
      "metadata": {
        "id": "58376c31"
      },
      "outputs": [],
      "source": [
        "n = pd.DataFrame(new)#.T si se quita con pixel hay que ponerle el T\n",
        "sin_fondo = n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "09f61325",
      "metadata": {
        "id": "09f61325",
        "outputId": "8931cbb4-e28c-41cf-8bac-c870fde4b3f5"
      },
      "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",
              "    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('tabindex', '0');\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",
              "            'z-index: 2;'\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(\n",
              "        'style',\n",
              "        'box-sizing: content-box;' +\n",
              "            'pointer-events: none;' +\n",
              "            'position: relative;' +\n",
              "            'z-index: 0;'\n",
              "    );\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;' +\n",
              "            'left: 0;' +\n",
              "            'pointer-events: none;' +\n",
              "            'position: absolute;' +\n",
              "            'top: 0;' +\n",
              "            '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",
              "            /* This rescales the canvas back to display pixels, so that it\n",
              "             * appears correct on HiDPI screens. */\n",
              "            canvas.style.width = width + 'px';\n",
              "            canvas.style.height = height + 'px';\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",
              "        /* User Agent sniffing is bad, but WebKit is busted:\n",
              "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
              "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
              "         * The worst that happens here is that they get an extra browser\n",
              "         * selection when dragging, if this check fails to catch them.\n",
              "         */\n",
              "        var UA = navigator.userAgent;\n",
              "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
              "        if(isWebKit) {\n",
              "            return function (event) {\n",
              "                /* This prevents the web browser from automatically changing to\n",
              "                 * the text insertion cursor when the button is pressed. We\n",
              "                 * want to control all of the cursor setting manually through\n",
              "                 * the 'cursor' event from matplotlib */\n",
              "                event.preventDefault()\n",
              "                return fig.mouse_event(event, name);\n",
              "            };\n",
              "        } else {\n",
              "            return function (event) {\n",
              "                return fig.mouse_event(event, name);\n",
              "            };\n",
              "        }\n",
              "    }\n",
              "\n",
              "    canvas_div.addEventListener(\n",
              "        'mousedown',\n",
              "        on_mouse_event_closure('button_press')\n",
              "    );\n",
              "    canvas_div.addEventListener(\n",
              "        'mouseup',\n",
              "        on_mouse_event_closure('button_release')\n",
              "    );\n",
              "    canvas_div.addEventListener(\n",
              "        'dblclick',\n",
              "        on_mouse_event_closure('dblclick')\n",
              "    );\n",
              "    // Throttle sequential mouse events to 1 every 20ms.\n",
              "    canvas_div.addEventListener(\n",
              "        'mousemove',\n",
              "        on_mouse_event_closure('motion_notify')\n",
              "    );\n",
              "\n",
              "    canvas_div.addEventListener(\n",
              "        'mouseenter',\n",
              "        on_mouse_event_closure('figure_enter')\n",
              "    );\n",
              "    canvas_div.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",
              "    canvas_div.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.canvas_div.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",
              "function getModifiers(event) {\n",
              "    var mods = [];\n",
              "    if (event.ctrlKey) {\n",
              "        mods.push('ctrl');\n",
              "    }\n",
              "    if (event.altKey) {\n",
              "        mods.push('alt');\n",
              "    }\n",
              "    if (event.shiftKey) {\n",
              "        mods.push('shift');\n",
              "    }\n",
              "    if (event.metaKey) {\n",
              "        mods.push('meta');\n",
              "    }\n",
              "    return mods;\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",
              "    if (name === 'button_press') {\n",
              "        this.canvas.focus();\n",
              "        this.canvas_div.focus();\n",
              "    }\n",
              "\n",
              "    // from https://stackoverflow.com/q/1114465\n",
              "    var boundingRect = this.canvas.getBoundingClientRect();\n",
              "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
              "    var y = (event.clientY - boundingRect.top) * this.ratio;\n",
              "\n",
              "    this.send_message(name, {\n",
              "        x: x,\n",
              "        y: y,\n",
              "        button: event.button,\n",
              "        step: event.step,\n",
              "        modifiers: getModifiers(event),\n",
              "        guiEvent: simpleKeys(event),\n",
              "    });\n",
              "\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\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
              "\n",
              "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\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>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
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\" 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            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Draw a box to define the area to extract pixels from!\n"
          ]
        }
      ],
      "source": [
        "\n",
        "define_region(sin_fondo, scaling_opt)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "d47ecfb2",
      "metadata": {
        "id": "d47ecfb2",
        "outputId": "5c690fdf-c6f3-4df7-8724-41d042e75c10"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Box dimensions\n",
            "--------------------------------------------------\n",
            "Pixels 29\n",
            "Timepoints 114\n",
            "[66, 3007]\n"
          ]
        }
      ],
      "source": [
        "\n",
        "dims_to_extract_traza_analisis = [basic_area[1][1]-basic_area[1][0], basic_area[0][1]-basic_area[0][0]]\n",
        "#     print(dims_to_extract_tr)\n",
        "if dims_to_extract_traza_analisis[0] % 2 == 0:\n",
        "    dims_to_extract_traza_analisis[0]= dims_to_extract_traza_analisis[0] + 1\n",
        "\n",
        "list_of_points_traza_analisis=([ceil((basic_area[1][1]+basic_area[1][0])/2),basic_area[0][0]])\n",
        "print(f'Box dimensions\\n' + '-'*number_padding + f'\\nPixels {dims_to_extract_traza_analisis[0]}\\nTimepoints {dims_to_extract_traza_analisis[1]}')\n",
        "print(list_of_points_traza_analisis)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "c1a0ebe1",
      "metadata": {
        "scrolled": false,
        "id": "c1a0ebe1",
        "outputId": "8f4a140b-a045-48d9-cb19-1fd97f38abca"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "51 81 3007 3121\n",
            "(175, 24784)\n"
          ]
        },
        {
          "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('tabindex', '0');\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",
              "            'z-index: 2;'\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(\n",
              "        'style',\n",
              "        'box-sizing: content-box;' +\n",
              "            'pointer-events: none;' +\n",
              "            'position: relative;' +\n",
              "            'z-index: 0;'\n",
              "    );\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;' +\n",
              "            'left: 0;' +\n",
              "            'pointer-events: none;' +\n",
              "            'position: absolute;' +\n",
              "            'top: 0;' +\n",
              "            '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",
              "            /* This rescales the canvas back to display pixels, so that it\n",
              "             * appears correct on HiDPI screens. */\n",
              "            canvas.style.width = width + 'px';\n",
              "            canvas.style.height = height + 'px';\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",
              "        /* User Agent sniffing is bad, but WebKit is busted:\n",
              "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
              "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
              "         * The worst that happens here is that they get an extra browser\n",
              "         * selection when dragging, if this check fails to catch them.\n",
              "         */\n",
              "        var UA = navigator.userAgent;\n",
              "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
              "        if(isWebKit) {\n",
              "            return function (event) {\n",
              "                /* This prevents the web browser from automatically changing to\n",
              "                 * the text insertion cursor when the button is pressed. We\n",
              "                 * want to control all of the cursor setting manually through\n",
              "                 * the 'cursor' event from matplotlib */\n",
              "                event.preventDefault()\n",
              "                return fig.mouse_event(event, name);\n",
              "            };\n",
              "        } else {\n",
              "            return function (event) {\n",
              "                return fig.mouse_event(event, name);\n",
              "            };\n",
              "        }\n",
              "    }\n",
              "\n",
              "    canvas_div.addEventListener(\n",
              "        'mousedown',\n",
              "        on_mouse_event_closure('button_press')\n",
              "    );\n",
              "    canvas_div.addEventListener(\n",
              "        'mouseup',\n",
              "        on_mouse_event_closure('button_release')\n",
              "    );\n",
              "    canvas_div.addEventListener(\n",
              "        'dblclick',\n",
              "        on_mouse_event_closure('dblclick')\n",
              "    );\n",
              "    // Throttle sequential mouse events to 1 every 20ms.\n",
              "    canvas_div.addEventListener(\n",
              "        'mousemove',\n",
              "        on_mouse_event_closure('motion_notify')\n",
              "    );\n",
              "\n",
              "    canvas_div.addEventListener(\n",
              "        'mouseenter',\n",
              "        on_mouse_event_closure('figure_enter')\n",
              "    );\n",
              "    canvas_div.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",
              "    canvas_div.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.canvas_div.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",
              "function getModifiers(event) {\n",
              "    var mods = [];\n",
              "    if (event.ctrlKey) {\n",
              "        mods.push('ctrl');\n",
              "    }\n",
              "    if (event.altKey) {\n",
              "        mods.push('alt');\n",
              "    }\n",
              "    if (event.shiftKey) {\n",
              "        mods.push('shift');\n",
              "    }\n",
              "    if (event.metaKey) {\n",
              "        mods.push('meta');\n",
              "    }\n",
              "    return mods;\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",
              "    if (name === 'button_press') {\n",
              "        this.canvas.focus();\n",
              "        this.canvas_div.focus();\n",
              "    }\n",
              "\n",
              "    // from https://stackoverflow.com/q/1114465\n",
              "    var boundingRect = this.canvas.getBoundingClientRect();\n",
              "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
              "    var y = (event.clientY - boundingRect.top) * this.ratio;\n",
              "\n",
              "    this.send_message(name, {\n",
              "        x: x,\n",
              "        y: y,\n",
              "        button: event.button,\n",
              "        step: event.step,\n",
              "        modifiers: getModifiers(event),\n",
              "        guiEvent: simpleKeys(event),\n",
              "    });\n",
              "\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\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
              "\n",
              "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\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>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
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\" width=\"640\">"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x1c394331a90>"
            ]
          },
          "execution_count": 20,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "current_point = list_of_points_traza_analisis\n",
        "# list_of_first_timestamp = (current_point[1])\n",
        "\n",
        "\n",
        "pixel_ini_traza = current_point[0] - ceil(dims_to_extract_traza_analisis[0]/2)\n",
        "if pixel_ini_traza <0:\n",
        "    pixel_ini_traza = 0\n",
        "pixel_fin_traza = current_point[0] + ceil(dims_to_extract_traza_analisis[0]/2)\n",
        "if pixel_fin_traza <0:\n",
        "    pixel_fin_traza = 0\n",
        "time_ini_traza = current_point[1]\n",
        "if time_ini_traza <0:\n",
        "    time_ini_traza = 0\n",
        "time_fin_traza = current_point[1] + dims_to_extract_traza_analisis[1]\n",
        "if time_fin_traza <0:\n",
        "    time_fin_traza = 0\n",
        "print(pixel_ini_traza, pixel_fin_traza, time_ini_traza, time_fin_traza)\n",
        "\n",
        "print(n.shape)\n",
        "# print(n)\n",
        "traza = np.asarray(n)\n",
        "traza = traza[pixel_ini_traza:pixel_fin_traza, 4+time_ini_traza :time_fin_traza]\n",
        "\n",
        "\n",
        "# ini_traza = []\n",
        "# for i in range(traza.shape[1]):\n",
        "#     if (max(traza[:,i]) > 10):\n",
        "#         ini_traza.append(i)\n",
        "#         break\n",
        "\n",
        "# traza = traza[:,ini_traza[0]::]\n",
        "\n",
        "fig, axRGB = plt.subplots(nrows=1,ncols=1,constrained_layout=True)\n",
        "\n",
        "axRGB.imshow(np.dstack((traza*scaling_opt[0],traza*scaling_opt[1],traza*scaling_opt[2])).astype(int), aspect=\"auto\")\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "5cb65ff2",
      "metadata": {
        "scrolled": false,
        "id": "5cb65ff2",
        "outputId": "0c87ee29-384e-4caf-ebcc-b8c1b66b87f1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "(30, 110)\n"
          ]
        },
        {
          "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('tabindex', '0');\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",
              "            'z-index: 2;'\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(\n",
              "        'style',\n",
              "        'box-sizing: content-box;' +\n",
              "            'pointer-events: none;' +\n",
              "            'position: relative;' +\n",
              "            'z-index: 0;'\n",
              "    );\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;' +\n",
              "            'left: 0;' +\n",
              "            'pointer-events: none;' +\n",
              "            'position: absolute;' +\n",
              "            'top: 0;' +\n",
              "            '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",
              "            /* This rescales the canvas back to display pixels, so that it\n",
              "             * appears correct on HiDPI screens. */\n",
              "            canvas.style.width = width + 'px';\n",
              "            canvas.style.height = height + 'px';\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",
              "        /* User Agent sniffing is bad, but WebKit is busted:\n",
              "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
              "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
              "         * The worst that happens here is that they get an extra browser\n",
              "         * selection when dragging, if this check fails to catch them.\n",
              "         */\n",
              "        var UA = navigator.userAgent;\n",
              "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
              "        if(isWebKit) {\n",
              "            return function (event) {\n",
              "                /* This prevents the web browser from automatically changing to\n",
              "                 * the text insertion cursor when the button is pressed. We\n",
              "                 * want to control all of the cursor setting manually through\n",
              "                 * the 'cursor' event from matplotlib */\n",
              "                event.preventDefault()\n",
              "                return fig.mouse_event(event, name);\n",
              "            };\n",
              "        } else {\n",
              "            return function (event) {\n",
              "                return fig.mouse_event(event, name);\n",
              "            };\n",
              "        }\n",
              "    }\n",
              "\n",
              "    canvas_div.addEventListener(\n",
              "        'mousedown',\n",
              "        on_mouse_event_closure('button_press')\n",
              "    );\n",
              "    canvas_div.addEventListener(\n",
              "        'mouseup',\n",
              "        on_mouse_event_closure('button_release')\n",
              "    );\n",
              "    canvas_div.addEventListener(\n",
              "        'dblclick',\n",
              "        on_mouse_event_closure('dblclick')\n",
              "    );\n",
              "    // Throttle sequential mouse events to 1 every 20ms.\n",
              "    canvas_div.addEventListener(\n",
              "        'mousemove',\n",
              "        on_mouse_event_closure('motion_notify')\n",
              "    );\n",
              "\n",
              "    canvas_div.addEventListener(\n",
              "        'mouseenter',\n",
              "        on_mouse_event_closure('figure_enter')\n",
              "    );\n",
              "    canvas_div.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",
              "    canvas_div.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.canvas_div.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",
              "function getModifiers(event) {\n",
              "    var mods = [];\n",
              "    if (event.ctrlKey) {\n",
              "        mods.push('ctrl');\n",
              "    }\n",
              "    if (event.altKey) {\n",
              "        mods.push('alt');\n",
              "    }\n",
              "    if (event.shiftKey) {\n",
              "        mods.push('shift');\n",
              "    }\n",
              "    if (event.metaKey) {\n",
              "        mods.push('meta');\n",
              "    }\n",
              "    return mods;\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",
              "    if (name === 'button_press') {\n",
              "        this.canvas.focus();\n",
              "        this.canvas_div.focus();\n",
              "    }\n",
              "\n",
              "    // from https://stackoverflow.com/q/1114465\n",
              "    var boundingRect = this.canvas.getBoundingClientRect();\n",
              "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
              "    var y = (event.clientY - boundingRect.top) * this.ratio;\n",
              "\n",
              "    this.send_message(name, {\n",
              "        x: x,\n",
              "        y: y,\n",
              "        button: event.button,\n",
              "        step: event.step,\n",
              "        modifiers: getModifiers(event),\n",
              "        guiEvent: simpleKeys(event),\n",
              "    });\n",
              "\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\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
              "\n",
              "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\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>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
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\" width=\"640\">"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "24783\n",
            "La intensidad máxima es: 38.01794693847147 , 12.100975167316063 hay  20.592804557318857  gfps\n"
          ]
        },
        {
          "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('tabindex', '0');\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",
              "            'z-index: 2;'\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(\n",
              "        'style',\n",
              "        'box-sizing: content-box;' +\n",
              "            'pointer-events: none;' +\n",
              "            'position: relative;' +\n",
              "            'z-index: 0;'\n",
              "    );\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;' +\n",
              "            'left: 0;' +\n",
              "            'pointer-events: none;' +\n",
              "            'position: absolute;' +\n",
              "            'top: 0;' +\n",
              "            '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",
              "            /* This rescales the canvas back to display pixels, so that it\n",
              "             * appears correct on HiDPI screens. */\n",
              "            canvas.style.width = width + 'px';\n",
              "            canvas.style.height = height + 'px';\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",
              "        /* User Agent sniffing is bad, but WebKit is busted:\n",
              "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
              "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
              "         * The worst that happens here is that they get an extra browser\n",
              "         * selection when dragging, if this check fails to catch them.\n",
              "         */\n",
              "        var UA = navigator.userAgent;\n",
              "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
              "        if(isWebKit) {\n",
              "            return function (event) {\n",
              "                /* This prevents the web browser from automatically changing to\n",
              "                 * the text insertion cursor when the button is pressed. We\n",
              "                 * want to control all of the cursor setting manually through\n",
              "                 * the 'cursor' event from matplotlib */\n",
              "                event.preventDefault()\n",
              "                return fig.mouse_event(event, name);\n",
              "            };\n",
              "        } else {\n",
              "            return function (event) {\n",
              "                return fig.mouse_event(event, name);\n",
              "            };\n",
              "        }\n",
              "    }\n",
              "\n",
              "    canvas_div.addEventListener(\n",
              "        'mousedown',\n",
              "        on_mouse_event_closure('button_press')\n",
              "    );\n",
              "    canvas_div.addEventListener(\n",
              "        'mouseup',\n",
              "        on_mouse_event_closure('button_release')\n",
              "    );\n",
              "    canvas_div.addEventListener(\n",
              "        'dblclick',\n",
              "        on_mouse_event_closure('dblclick')\n",
              "    );\n",
              "    // Throttle sequential mouse events to 1 every 20ms.\n",
              "    canvas_div.addEventListener(\n",
              "        'mousemove',\n",
              "        on_mouse_event_closure('motion_notify')\n",
              "    );\n",
              "\n",
              "    canvas_div.addEventListener(\n",
              "        'mouseenter',\n",
              "        on_mouse_event_closure('figure_enter')\n",
              "    );\n",
              "    canvas_div.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",
              "    canvas_div.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.canvas_div.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",
              "function getModifiers(event) {\n",
              "    var mods = [];\n",
              "    if (event.ctrlKey) {\n",
              "        mods.push('ctrl');\n",
              "    }\n",
              "    if (event.altKey) {\n",
              "        mods.push('alt');\n",
              "    }\n",
              "    if (event.shiftKey) {\n",
              "        mods.push('shift');\n",
              "    }\n",
              "    if (event.metaKey) {\n",
              "        mods.push('meta');\n",
              "    }\n",
              "    return mods;\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",
              "    if (name === 'button_press') {\n",
              "        this.canvas.focus();\n",
              "        this.canvas_div.focus();\n",
              "    }\n",
              "\n",
              "    // from https://stackoverflow.com/q/1114465\n",
              "    var boundingRect = this.canvas.getBoundingClientRect();\n",
              "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
              "    var y = (event.clientY - boundingRect.top) * this.ratio;\n",
              "\n",
              "    this.send_message(name, {\n",
              "        x: x,\n",
              "        y: y,\n",
              "        button: event.button,\n",
              "        step: event.step,\n",
              "        modifiers: getModifiers(event),\n",
              "        guiEvent: simpleKeys(event),\n",
              "    });\n",
              "\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\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
              "\n",
              "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\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>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
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\" width=\"640\">"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "50\n"
          ]
        }
      ],
      "source": [
        "from scipy.stats import norm\n",
        "import matplotlib.mlab as mlab\n",
        "\n",
        "def gauss(x,mu,sigma):\n",
        "    return np.exp(-(x-mu)**2/(2*sigma**2)) #2/sigma**2)\n",
        "\n",
        "mu_c = 3.6923525236837706#3.6923525236837706#2.0339682599168056 #esto es para pif1 #3.6923525236837706 #esto es para gfp\n",
        "std_c = 0.787849601058437#0.787849601058437#0.17962163652115445# esto es para pif1 #0.787849601058437 #esto es para gfp\n",
        "# mu, std = norm.fit(traza)\n",
        "# print(mu,std, max(traza[:,time_ini_traza + 287]))\n",
        "\n",
        "posicion = np.arange(pixel_ini_traza, pixel_fin_traza)\n",
        "he = traza\n",
        "tiempo = np.arange(0,traza.shape[1])\n",
        "\n",
        "# plt.figure()\n",
        "# plt.bar(posicion, height=he)\n",
        "#  plt.plot(traza[:,time_ini_traza + 287])\n",
        "# plt.show()\n",
        "i_max = []\n",
        "print(traza.shape)\n",
        "for i in range((traza.shape[1])):\n",
        "    i_max.append(max(traza[:,i]))\n",
        "\n",
        "m = []\n",
        "for i in (np.arange(0,len(i_max),10)):\n",
        "    m.append(np.mean(i_max[i-10:i]))\n",
        "\n",
        "plt.figure()\n",
        "plt.plot(tiempo,i_max)\n",
        "plt.plot(np.arange(0,len(i_max),10), m)\n",
        "plt.ylabel('Intensity (U.I.)')\n",
        "plt.xlabel('Time (s)')\n",
        "plt.legend(['Raw data','Filtered data'])\n",
        "\n",
        "plt.show()\n",
        "\n",
        "n_fluor_max = i_max[0:50]\n",
        "\n",
        "# # y,x = np.histogram(n_fluor_max)\n",
        "# # x=(x[1:]+x[:-1])/2 # for len(x)==len(y)\n",
        "\n",
        "# # plt.figure()\n",
        "# # plt.plot(x,y)\n",
        "# n_fluor_min = i_max[100:200]\n",
        "mu, std = norm.fit(n_fluor_max)\n",
        "\n",
        "\n",
        "# # the histogram of the data\n",
        "# n, bins, patches = plt.hist(n_fluor_max, 60,facecolor='green', alpha=0.75)\n",
        "\n",
        "# # add a 'best fit' line\n",
        "# y = norm.pdf( bins, mu, std)\n",
        "# l = plt.plot(bins, y, 'r--', linewidth=2)\n",
        "\n",
        "print(max(n))\n",
        "# #plot\n",
        "# plt.figure()\n",
        "# plt.hist(n_fluor_max,facecolor='green', alpha=0.75)\n",
        "# # plt.bar(bins[1::],n)\n",
        "# plt.plot(bins, 70*y, 'r--', linewidth=2)\n",
        "# plt.xlabel('Intensity (U.I.)')\n",
        "# plt.ylabel('Counts')\n",
        "# # plt.title(r'$\\mathrm{Intensity\\ of\\ 2\\ GFP:}\\ \\mu=%.3f,\\ \\sigma=%.3f$' %(mu, std))\n",
        "# plt.title(r'$\\mathrm{Intensity\\ of\\ 2\\ GFP\\ (n=19):}\\ \\mu=%.3f,\\ \\sigma=%.3f$' %(mu_c, std_c))\n",
        "\n",
        "# plt.grid(True)\n",
        "\n",
        "# plt.show()\n",
        "\n",
        "\n",
        "print('La intensidad máxima es:',mu,',', std, 'hay ', 2*mu/mu_c, ' gfps')\n",
        "# mu, std = norm.fit(n_fluor_min)\n",
        "# print('La intensidad minima es:',mu,'+-', std)\n",
        "\n",
        "\n",
        "\n",
        "plt.figure()\n",
        "print(len(n_fluor_max))\n",
        "plt.hist(n_fluor_max)\n",
        "plt.xlabel('Intensity (U.I)')\n",
        "# plt.plot(sort(n_fluor_max),gauss(n_fluor_max, mu, std),'.-')\n",
        "plt.ylabel('Counts')\n",
        "plt.show()\n",
        "\n",
        "\n",
        "\n",
        "# plt.hist(n_fluor_min)\n",
        "# plt.show()\n",
        "# criba = np.arange(0, len(i_max), 20)\n",
        "# for i in range(len(criba)-10):\n",
        "#     mu, std = norm.fit(i_max[criba[i]:criba[i+2]])\n",
        "# #     print(mu,std)\n",
        "#     plt.plot(i,mu,'o')\n",
        "# plt.figure()\n",
        "# plt.hist(i_max[0:150])\n",
        "# for i in range(i_max):\n",
        ""
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