{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4tVLaP1IuKSq"
      },
      "source": [
        "# Kymotracker\n",
        "\n",
        "María Ortiz Rodríguez"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "1q27XGYvuKSt"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib notebook\n",
        "import pandas as pd\n",
        "\n",
        "import lumicks.pylake as lk"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mjTplwLZuKSu"
      },
      "source": [
        "* Copiar el **path** de donde tienes los datos en la primera linea --> OJO: utilizar estas barras \"/\" y no olvidar ponerla al final del path\n",
        "* Despues poner el **nombre** del kymo a analizar\n",
        "* Poner el **número** del kymo"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "jqGMTtPXuKSv"
      },
      "outputs": [],
      "source": [
        "path = 'F:/Tesis_Maria/Ordenador_IMDEA/c_traps_BUENAS/Pfh1/anti-his_alexa488/ssDNA/375uM_ATP/'\n",
        "nombre = '20240905-155718 Kymograph 71.h5'\n",
        "file = lk.File(f\"{path}{nombre}\")\n",
        "numero = 71\n",
        "\n",
        "\n",
        "full_kymo = file.kymos[str(numero)]\n",
        "# print(np.mean(file.force2x.data))\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-uSorFysuKSv"
      },
      "source": [
        "Plotea el kymo. El valor **vmax** es para cambiar el brillo\n",
        "* **channel** para poner el canal donde has grabado la fluorescencia: green, blue or red"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "scrolled": false,
        "id": "cmUJhVr6uKSv",
        "outputId": "cc76a519-c0fa-43c1-9013-24b326139511"
      },
      "outputs": [
        {
          "data": {
            "application/javascript": [
              "/* Put everything inside the global mpl namespace */\n",
              "/* global mpl */\n",
              "window.mpl = {};\n",
              "\n",
              "mpl.get_websocket_type = function () {\n",
              "    if (typeof WebSocket !== 'undefined') {\n",
              "        return WebSocket;\n",
              "    } else if (typeof MozWebSocket !== 'undefined') {\n",
              "        return MozWebSocket;\n",
              "    } else {\n",
              "        alert(\n",
              "            'Your browser does not have WebSocket support. ' +\n",
              "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
              "                'Firefox 4 and 5 are also supported but you ' +\n",
              "                'have to enable WebSockets in about:config.'\n",
              "        );\n",
              "    }\n",
              "};\n",
              "\n",
              "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
              "    this.id = figure_id;\n",
              "\n",
              "    this.ws = websocket;\n",
              "\n",
              "    this.supports_binary = this.ws.binaryType !== undefined;\n",
              "\n",
              "    if (!this.supports_binary) {\n",
              "        var warnings = document.getElementById('mpl-warnings');\n",
              "        if (warnings) {\n",
              "            warnings.style.display = 'block';\n",
              "            warnings.textContent =\n",
              "                'This browser does not support binary websocket messages. ' +\n",
              "                'Performance may be slow.';\n",
              "        }\n",
              "    }\n",
              "\n",
              "    this.imageObj = new Image();\n",
              "\n",
              "    this.context = undefined;\n",
              "    this.message = undefined;\n",
              "    this.canvas = undefined;\n",
              "    this.rubberband_canvas = undefined;\n",
              "    this.rubberband_context = undefined;\n",
              "    this.format_dropdown = undefined;\n",
              "\n",
              "    this.image_mode = 'full';\n",
              "\n",
              "    this.root = document.createElement('div');\n",
              "    this.root.setAttribute('style', 'display: inline-block');\n",
              "    this._root_extra_style(this.root);\n",
              "\n",
              "    parent_element.appendChild(this.root);\n",
              "\n",
              "    this._init_header(this);\n",
              "    this._init_canvas(this);\n",
              "    this._init_toolbar(this);\n",
              "\n",
              "    var fig = this;\n",
              "\n",
              "    this.waiting = false;\n",
              "\n",
              "    this.ws.onopen = function () {\n",
              "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
              "        fig.send_message('send_image_mode', {});\n",
              "        if (fig.ratio !== 1) {\n",
              "            fig.send_message('set_device_pixel_ratio', {\n",
              "                device_pixel_ratio: fig.ratio,\n",
              "            });\n",
              "        }\n",
              "        fig.send_message('refresh', {});\n",
              "    };\n",
              "\n",
              "    this.imageObj.onload = function () {\n",
              "        if (fig.image_mode === 'full') {\n",
              "            // Full images could contain transparency (where diff images\n",
              "            // almost always do), so we need to clear the canvas so that\n",
              "            // there is no ghosting.\n",
              "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
              "        }\n",
              "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
              "    };\n",
              "\n",
              "    this.imageObj.onunload = function () {\n",
              "        fig.ws.close();\n",
              "    };\n",
              "\n",
              "    this.ws.onmessage = this._make_on_message_function(this);\n",
              "\n",
              "    this.ondownload = ondownload;\n",
              "};\n",
              "\n",
              "mpl.figure.prototype._init_header = function () {\n",
              "    var titlebar = document.createElement('div');\n",
              "    titlebar.classList =\n",
              "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
              "    var titletext = document.createElement('div');\n",
              "    titletext.classList = 'ui-dialog-title';\n",
              "    titletext.setAttribute(\n",
              "        'style',\n",
              "        'width: 100%; text-align: center; padding: 3px;'\n",
              "    );\n",
              "    titlebar.appendChild(titletext);\n",
              "    this.root.appendChild(titlebar);\n",
              "    this.header = titletext;\n",
              "};\n",
              "\n",
              "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
              "\n",
              "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
              "\n",
              "mpl.figure.prototype._init_canvas = function () {\n",
              "    var fig = this;\n",
              "\n",
              "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
              "    canvas_div.setAttribute('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"
        },
        {
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\" width=\"640\">"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "vmax = 3\n",
        "\n",
        "channel = \"green\"\n",
        "\n",
        "plt.figure()\n",
        "full_kymo.plot(channel=channel, vmax=vmax)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "s81A6Y0ouKSx",
        "outputId": "1368caf0-bc31-45ae-c503-0018cdade32b"
      },
      "outputs": [
        {
          "data": {
            "application/javascript": [
              "/* Put everything inside the global mpl namespace */\n",
              "/* global mpl */\n",
              "window.mpl = {};\n",
              "\n",
              "mpl.get_websocket_type = function () {\n",
              "    if (typeof WebSocket !== 'undefined') {\n",
              "        return WebSocket;\n",
              "    } else if (typeof MozWebSocket !== 'undefined') {\n",
              "        return MozWebSocket;\n",
              "    } else {\n",
              "        alert(\n",
              "            'Your browser does not have WebSocket support. ' +\n",
              "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
              "                'Firefox 4 and 5 are also supported but you ' +\n",
              "                'have to enable WebSockets in about:config.'\n",
              "        );\n",
              "    }\n",
              "};\n",
              "\n",
              "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
              "    this.id = figure_id;\n",
              "\n",
              "    this.ws = websocket;\n",
              "\n",
              "    this.supports_binary = this.ws.binaryType !== undefined;\n",
              "\n",
              "    if (!this.supports_binary) {\n",
              "        var warnings = document.getElementById('mpl-warnings');\n",
              "        if (warnings) {\n",
              "            warnings.style.display = 'block';\n",
              "            warnings.textContent =\n",
              "                'This browser does not support binary websocket messages. ' +\n",
              "                'Performance may be slow.';\n",
              "        }\n",
              "    }\n",
              "\n",
              "    this.imageObj = new Image();\n",
              "\n",
              "    this.context = undefined;\n",
              "    this.message = undefined;\n",
              "    this.canvas = undefined;\n",
              "    this.rubberband_canvas = undefined;\n",
              "    this.rubberband_context = undefined;\n",
              "    this.format_dropdown = undefined;\n",
              "\n",
              "    this.image_mode = 'full';\n",
              "\n",
              "    this.root = document.createElement('div');\n",
              "    this.root.setAttribute('style', 'display: inline-block');\n",
              "    this._root_extra_style(this.root);\n",
              "\n",
              "    parent_element.appendChild(this.root);\n",
              "\n",
              "    this._init_header(this);\n",
              "    this._init_canvas(this);\n",
              "    this._init_toolbar(this);\n",
              "\n",
              "    var fig = this;\n",
              "\n",
              "    this.waiting = false;\n",
              "\n",
              "    this.ws.onopen = function () {\n",
              "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
              "        fig.send_message('send_image_mode', {});\n",
              "        if (fig.ratio !== 1) {\n",
              "            fig.send_message('set_device_pixel_ratio', {\n",
              "                device_pixel_ratio: fig.ratio,\n",
              "            });\n",
              "        }\n",
              "        fig.send_message('refresh', {});\n",
              "    };\n",
              "\n",
              "    this.imageObj.onload = function () {\n",
              "        if (fig.image_mode === 'full') {\n",
              "            // Full images could contain transparency (where diff images\n",
              "            // almost always do), so we need to clear the canvas so that\n",
              "            // there is no ghosting.\n",
              "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
              "        }\n",
              "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
              "    };\n",
              "\n",
              "    this.imageObj.onunload = function () {\n",
              "        fig.ws.close();\n",
              "    };\n",
              "\n",
              "    this.ws.onmessage = this._make_on_message_function(this);\n",
              "\n",
              "    this.ondownload = ondownload;\n",
              "};\n",
              "\n",
              "mpl.figure.prototype._init_header = function () {\n",
              "    var titlebar = document.createElement('div');\n",
              "    titlebar.classList =\n",
              "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
              "    var titletext = document.createElement('div');\n",
              "    titletext.classList = 'ui-dialog-title';\n",
              "    titletext.setAttribute(\n",
              "        'style',\n",
              "        'width: 100%; text-align: center; padding: 3px;'\n",
              "    );\n",
              "    titlebar.appendChild(titletext);\n",
              "    this.root.appendChild(titlebar);\n",
              "    this.header = titletext;\n",
              "};\n",
              "\n",
              "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
              "\n",
              "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
              "\n",
              "mpl.figure.prototype._init_canvas = function () {\n",
              "    var fig = this;\n",
              "\n",
              "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
              "    canvas_div.setAttribute('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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              "<img 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\" width=\"640\">"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "widget = full_kymo.crop_and_calibrate(channel=channel, vmax=vmax, aspect=\"auto\")\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "58KiLIfBuKSx"
      },
      "source": [
        "### The Kymotracker Widget\n",
        "\n",
        "Aquí se usa el kymo widget para poder señalar la región a trackear. Como usarlo:\n",
        "* La barra de **min intensity** hace que varíe el pixel\n",
        "* Boton **track** para seleccionar con el botón derecho del ratón la región a trackear.\n",
        "* **remove tracks** para borrar aquellas trazas que son ruido o no nos interesan.\n",
        "* **conect tracks** --> hay veces que para una misma traza nos salen separadas y hay que unirlas"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "referenced_widgets": [
            "9989c15055da4295a61d76a1065f272a"
          ]
        },
        "id": "95xgOUANuKSy",
        "outputId": "ef3f3e98-064b-4568-c773-3d2122b4ea38"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "9989c15055da4295a61d76a1065f272a",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "HBox(children=(Output(), VBox(children=(Button(description='Track All', style=ButtonStyle(), tooltip='Track th…"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "###### # grab the cropped kymo from the widget\n",
        "kymo = widget.kymo\n",
        "\n",
        "# and start the kymotracker\n",
        "kymowidget = lk.KymoWidgetGreedy(kymo, 'green', axis_aspect_ratio=2, vmax=2, window=5) #AQUIIIIIIIIII"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "U_k6P2HbuKSy"
      },
      "source": [
        "Te guarda las trazas que hayas analizado"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "OZpvj1wauKS0",
        "outputId": "b5fbd2b7-8486-4eca-b511-d452437bad4e"
      },
      "outputs": [
        {
          "data": {
            "application/javascript": [
              "/* Put everything inside the global mpl namespace */\n",
              "/* global mpl */\n",
              "window.mpl = {};\n",
              "\n",
              "mpl.get_websocket_type = function () {\n",
              "    if (typeof WebSocket !== 'undefined') {\n",
              "        return WebSocket;\n",
              "    } else if (typeof MozWebSocket !== 'undefined') {\n",
              "        return MozWebSocket;\n",
              "    } else {\n",
              "        alert(\n",
              "            'Your browser does not have WebSocket support. ' +\n",
              "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
              "                'Firefox 4 and 5 are also supported but you ' +\n",
              "                'have to enable WebSockets in about:config.'\n",
              "        );\n",
              "    }\n",
              "};\n",
              "\n",
              "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
              "    this.id = figure_id;\n",
              "\n",
              "    this.ws = websocket;\n",
              "\n",
              "    this.supports_binary = this.ws.binaryType !== undefined;\n",
              "\n",
              "    if (!this.supports_binary) {\n",
              "        var warnings = document.getElementById('mpl-warnings');\n",
              "        if (warnings) {\n",
              "            warnings.style.display = 'block';\n",
              "            warnings.textContent =\n",
              "                'This browser does not support binary websocket messages. ' +\n",
              "                'Performance may be slow.';\n",
              "        }\n",
              "    }\n",
              "\n",
              "    this.imageObj = new Image();\n",
              "\n",
              "    this.context = undefined;\n",
              "    this.message = undefined;\n",
              "    this.canvas = undefined;\n",
              "    this.rubberband_canvas = undefined;\n",
              "    this.rubberband_context = undefined;\n",
              "    this.format_dropdown = undefined;\n",
              "\n",
              "    this.image_mode = 'full';\n",
              "\n",
              "    this.root = document.createElement('div');\n",
              "    this.root.setAttribute('style', 'display: inline-block');\n",
              "    this._root_extra_style(this.root);\n",
              "\n",
              "    parent_element.appendChild(this.root);\n",
              "\n",
              "    this._init_header(this);\n",
              "    this._init_canvas(this);\n",
              "    this._init_toolbar(this);\n",
              "\n",
              "    var fig = this;\n",
              "\n",
              "    this.waiting = false;\n",
              "\n",
              "    this.ws.onopen = function () {\n",
              "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
              "        fig.send_message('send_image_mode', {});\n",
              "        if (fig.ratio !== 1) {\n",
              "            fig.send_message('set_device_pixel_ratio', {\n",
              "                device_pixel_ratio: fig.ratio,\n",
              "            });\n",
              "        }\n",
              "        fig.send_message('refresh', {});\n",
              "    };\n",
              "\n",
              "    this.imageObj.onload = function () {\n",
              "        if (fig.image_mode === 'full') {\n",
              "            // Full images could contain transparency (where diff images\n",
              "            // almost always do), so we need to clear the canvas so that\n",
              "            // there is no ghosting.\n",
              "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
              "        }\n",
              "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
              "    };\n",
              "\n",
              "    this.imageObj.onunload = function () {\n",
              "        fig.ws.close();\n",
              "    };\n",
              "\n",
              "    this.ws.onmessage = this._make_on_message_function(this);\n",
              "\n",
              "    this.ondownload = ondownload;\n",
              "};\n",
              "\n",
              "mpl.figure.prototype._init_header = function () {\n",
              "    var titlebar = document.createElement('div');\n",
              "    titlebar.classList =\n",
              "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
              "    var titletext = document.createElement('div');\n",
              "    titletext.classList = 'ui-dialog-title';\n",
              "    titletext.setAttribute(\n",
              "        'style',\n",
              "        'width: 100%; text-align: center; padding: 3px;'\n",
              "    );\n",
              "    titlebar.appendChild(titletext);\n",
              "    this.root.appendChild(titlebar);\n",
              "    this.header = titletext;\n",
              "};\n",
              "\n",
              "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
              "\n",
              "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
              "\n",
              "mpl.figure.prototype._init_canvas = function () {\n",
              "    var fig = this;\n",
              "\n",
              "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
              "    canvas_div.setAttribute('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": {
            "text/html": [
              "<img 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width=\"640\">"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "0.0 27.0843904\n",
            "12.252578558978362\n"
          ]
        }
      ],
      "source": [
        "#\n",
        "tracks = kymowidget.tracks\n",
        "plt.figure()\n",
        "tracks.plot()\n",
        "plt.legend(['0','0','0','0','0','0','0','0','0','0','0','0','0'])\n",
        "plt.show()\n",
        "\n",
        "for i in range(0,len(tracks)):\n",
        "    x_nm = (tracks[i].position)\n",
        "    t = (tracks[i].seconds)\n",
        "    print(t[0],t[-1])\n",
        "    data_savin = {'time': t, 'xum': x_nm}\n",
        "    save = pd.DataFrame(data_savin)\n",
        "    nombre = f'k{numero}_{channel}{i+1}'\n",
        "    saving = path + nombre\n",
        "\n",
        "    print(np.mean(file.force2x.data))\n",
        "#     save.to_csv(f'F:/Tesis_Maria/Ordenador_IMDEA/c_traps_BUENAS/Pfh1/anti-his_alexa488/ssDNA/1000uM_ATP/10-04-2024/{nombre}.csv', sep = '\\t', index = False)\n",
        "    save.to_csv(f'{path}{nombre}_new.csv', sep = '\\t', index = False)\n"
      ]
    }
  ],
  "metadata": {
    "interpreter": {
      "hash": "775a57909c38ca0d9c716261cff858f921869486806c6c09165828e96c5abd48"
    },
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.9.16"
    },
    "colab": {
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}