Day-16/matplotlib_tutorial_part_10.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c70a741c",
   "metadata": {},
   "source": [
    "# Matplotlib Tutorial\n",
    "**Sources:**\n",
    "Corey Schafer [Matplotlib Tutorial](https://www.youtube.com/playlist?list=PL-osiE80TeTvipOqomVEeZ1HRrcEvtZB_) Playlist\n",
    "- Part 10 - Subplots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "938f46c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6d99b128",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "plt.style.use(\"seaborn\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4797b06b",
   "metadata": {},
   "source": [
    "### Plotting `developers_salary.csv` data into line graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b6ac86b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"./data/developers_salary.csv\", index_col=[\"Age\"])\n",
    "ages = data.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "96ce7cd4",
   "metadata": {},
   "outputs": [],
   "source": [
    "dev_salaries = data[\"All_Devs\"]\n",
    "py_salaries = data[\"Python\"]\n",
    "js_salaries = data[\"JavaScript\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "511e3a3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    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 src=\"data:image/png;base64,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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(ages, py_salaries, label=\"Python\", color=\"red\")\n",
    "plt.plot(ages, js_salaries, label=\"JavaScript\", color=\"#00FF00\")\n",
    "plt.plot(ages, dev_salaries, label=\"All Devs\", color=\"#0000FF\", \n",
    "         linestyle=\"--\")\n",
    "plt.legend()\n",
    "plt.title(\"Median Salary (USD) by Age\")\n",
    "plt.xlabel(\"Ages\")\n",
    "plt.ylabel(\"Median Salary (USD)\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed4da49a",
   "metadata": {},
   "source": [
    "### Use `plt.subplots()` to create a figure and a set of subplots.\n",
    "1. Each figure can contain multiple subplots\n",
    "2. If we create more than 1 figure then more than 1 window will display\n",
    "- It returns a figure and axes (array or single)\n",
    "- By default it creates a single plot\n",
    "- It is more Object Oriented approach."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f41b56c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    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 src=\"data:image/png;base64,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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "\n",
    "ax.plot(ages, py_salaries, label=\"Python\", color=\"red\")\n",
    "ax.plot(ages, js_salaries, label=\"JavaScript\", color=\"#00FF00\")\n",
    "ax.plot(ages, dev_salaries, label=\"All Devs\", color=\"#0000FF\", \n",
    "         linestyle=\"--\")\n",
    "ax.legend()\n",
    "\n",
    "ax.set_title(\"Median Salary (USD) by Age\")\n",
    "ax.set_xlabel(\"Ages\")\n",
    "ax.set_ylabel(\"Median Salary (USD)\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "436d6d09",
   "metadata": {},
   "source": [
    "### Creating a `3x1` subplot figure, consists of 3 plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1edee9ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    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 src=\"data:image/png;base64,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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=3, ncols=1)\n",
    "ax[0].plot(ages, py_salaries, label=\"Python\", color=\"red\")\n",
    "ax[1].plot(ages, js_salaries, label=\"JavaScript\", color=\"#00FF00\")\n",
    "ax[2].plot(ages, dev_salaries, label=\"All Devs\", color=\"#0000FF\")\n",
    "\n",
    "ax[0].legend()\n",
    "ax[0].set_title(\"Median Salary (USD) by Age\")\n",
    "ax[0].set_xlabel(\"Ages\")\n",
    "ax[0].set_ylabel(\"Median Salary (USD)\")\n",
    "\n",
    "ax[1].legend()\n",
    "ax[1].set_title(\"Median Salary (USD) by Age\")\n",
    "ax[1].set_xlabel(\"Ages\")\n",
    "ax[1].set_ylabel(\"Median Salary (USD)\")\n",
    "\n",
    "ax[2].legend()\n",
    "ax[2].set_title(\"Median Salary (USD) by Age\")\n",
    "ax[2].set_xlabel(\"Ages\")\n",
    "ax[2].set_ylabel(\"Median Salary (USD)\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f273d90",
   "metadata": {},
   "source": [
    "### Creating a `2x2` figure consists of 3 plots\n",
    "- removing 2nd row\n",
    "- Adding a subplot on 2nd row & 1st col of index 2 (starting), 2 (end)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "56a5a7da",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    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 src=\"data:image/png;base64,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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=2, ncols=2)\n",
    "# removing 2nd row\n",
    "ax[1, 0].remove()\n",
    "ax[1, 1].remove()\n",
    "\n",
    "ax[0][0].plot(ages, py_salaries, label=\"Python\", color=\"red\")\n",
    "ax[0][0].legend()\n",
    "ax[0][0].set_title(\"Median Salary (USD) by Age\")\n",
    "ax[0][0].set_xlabel(\"Ages\")\n",
    "ax[0][0].set_ylabel(\"Median Salary (USD)\")\n",
    "\n",
    "ax[0][1].plot(ages, js_salaries, label=\"JavaScript\", color=\"#00FF00\")\n",
    "ax[0][1].legend()\n",
    "ax[0][1].set_title(\"Median Salary (USD) by Age\")\n",
    "ax[0][1].set_xlabel(\"Ages\")\n",
    "ax[0][1].set_ylabel(\"Median Salary (USD)\")\n",
    "\n",
    "# Adding a subplot on nrow, ncol, index (upper left till lower right)\n",
    "# 2nd row, 1st col, till index 2, 2.\n",
    "axbig = fig.add_subplot(2, 1, (2, 2))\n",
    "axbig.plot(ages, dev_salaries, label=\"All Devs\", color=\"#0000FF\")\n",
    "axbig.set_title(\"Median Salary (USD) by Age\")\n",
    "axbig.set_xlabel(\"Ages\")\n",
    "axbig.set_ylabel(\"Median Salary (USD)\")\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac0e8e9c",
   "metadata": {},
   "source": [
    "#### Set `sharex` & `sharey` parameter of `plt.subplots()` to share the x and y ticks\n",
    "- Use `fig.suptitle()` to add a single title for all plots\n",
    "- Use `fig.supxlabel()` to add a single `x-axis` label\n",
    "- Use `fig.supylabel()` to add a single `y-axis` label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5163e99a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    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 src=\"data:image/png;base64,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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=2, ncols=2, sharey=True)\n",
    "# removing 2nd row\n",
    "ax[1, 0].remove()\n",
    "ax[1, 1].remove()\n",
    "py_axes, js_axes = ax[0]\n",
    "\n",
    "fig.suptitle(\"Median Salary (USD) by Ages\")\n",
    "fig.supxlabel(\"Ages\")\n",
    "fig.supylabel(\"Median Salary (USD)\")\n",
    "\n",
    "py_axes.plot(ages, py_salaries, color=\"red\")\n",
    "py_axes.set_title(\"Python\")\n",
    "\n",
    "js_axes.plot(ages, js_salaries, color=\"#00FF00\")\n",
    "js_axes.set_title(\"JavaScript\")\n",
    "\n",
    "# Adding a subplot on nrow, ncol, index (upper left till lower right)\n",
    "# 2nd row, 1st col, till index 2, 2.\n",
    "dev_axes = fig.add_subplot(2, 1, (2, 2))\n",
    "dev_axes.plot(ages, dev_salaries, color=\"#0000FF\")\n",
    "dev_axes.set_title(\"All Developers\")\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "80f2ebad",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig.savefig(\"./dev_salaries.png\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}