{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4b1b36d9",
   "metadata": {},
   "source": [
    "# Wave turbulence in gongs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2cc6b20c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from scipy import signal as sig\n",
    "from scipy import fft as fft\n",
    "#import scipy as sc\n",
    "import scipy.io.wavfile as wav\n",
    "#%matplotlib inline\n",
    "%matplotlib notebook  \n",
    "#for jupiter notebook\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9796e975",
   "metadata": {},
   "source": [
    "# Acoustic measurement\n",
    "\n",
    "A microphone is available to record the sound emitted by the gong. Use the Audacity sofware to record the sound. Save the data in .wav file format that python can read using the scipy library.\n",
    "\n",
    "A quasi-stationary forcing can be achieved by hitting reapeatedly the gong with constant impact strength.\n",
    "\n",
    "#### 1 Perform a series of experiments with different forcing strengths (and possibly different gongs). Document precisely for dataset. Make long records."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4feddd1",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "d669b204",
   "metadata": {},
   "source": [
    "#### 2. load one audio record (use the function `wav.read` from `scipy` to read .wav files). There are two channels but we will use only one (whichever). Plot the signal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "259a631a",
   "metadata": {},
   "outputs": [],
   "source": [
    "rate, data = wav.read('D:/TP_GONG/G2FF.wav')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "2693e0e4",
   "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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1185307, 2)\n"
     ]
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.plot(data)\n",
    "print(data.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a08054cd",
   "metadata": {},
   "source": [
    "#### 3. Stationary regime\n",
    "Compute the Fourier spectrum of the data, in the quasi-stationary regime, using the Welch method (`welch` function in Scipy, read the documentation of this function). Plot the data (choose between linear of logarithmic scales). Compare the different intensities and the different gongs). Optimize the values of the different parameters of the `welch`method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "055f6434",
   "metadata": {},
   "outputs": [],
   "source": [
    "f, P = sig.welch(data[:,1], fs=44100.0, window='hann', nperseg=30000, noverlap=15000, scaling='density')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "d047ddd2",
   "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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1c34496ebe0>]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#TF = fft.fft(data[:,0])\n",
    "#f = (np.linspace(0, len(data)-1, len(data))/len(data))*44100\n",
    "\n",
    "plt.figure()\n",
    "plt.semilogy(f, P)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb952b26",
   "metadata": {},
   "source": [
    "#### 4. Transitory regime\n",
    "To study the transitory part of the signal (at the beginning), one needs to compute the evolution of the frequency content as a function of time. The adapted tool for this is the spectrogram. It consists in computing the Fourier transform of successive short time wondows of the signal. \n",
    "\n",
    "Compute the spectrogram of one of your signals (use the `spectrogram` function from `scipy`, read the doc). Show the result in a figure. Optimise the values of the parameters to make the figure more readable, especially at the beginning of the relevant sound. To make the computation faster, it is relevant to restrict the computation to the most interesting part of the signal."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "a8dc58f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "f, t, Sxx = sig.spectrogram(data[:,1], fs=44100.0, window='hann', nperseg=10000, noverlap=9500, scaling='density')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "8dd51378",
   "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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x1c329afb160>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.pcolormesh( np.log10(Sxx), cmap = 'jet')\n",
    "\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "73cffd5d",
   "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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1c32745d1c0>]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.semilogy(Sxx[500,:])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39e38a06",
   "metadata": {},
   "source": [
    "#### Compare the different experiments and different gongs. Comment."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2f3da2a7",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "04ffdb30",
   "metadata": {},
   "source": [
    "# Spatial measurement: time-resolved profilometry \n",
    "\n",
    "In order to understand more the acoustic observation, we would like to have a spatial measurement of vibration. For this we will use the Fourier Transform Profilometry technique described by the article by Maurel et al. \"Experimental and theoretical inspection of the phase-to-height relation in Fourier transform profilometry\" Applied Optics 2009. Ask your professor to explain you the principle.\n",
    "\n",
    "#### 1. Optimise the setup to perform the measurement on the biggest gong. Record a few images with static gong and with a homogeneous image.\n",
    "\n",
    "#### 2. Parameters of the method\n",
    "Identify the parameters of the method that you have to measure to be able to process the images to obtain the deformation of the gong. Give the values. Explain how you choose the frame rate of the camera."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a940fd98",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "78d8a704",
   "metadata": {},
   "source": [
    "#### 3. Define a protocol to be able to record the motion in the stationary regime. Record the movie. Give the settings of the camera. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0538addb",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "3216cfb4",
   "metadata": {},
   "source": [
    "#### 4. Ask your professor to show you the various steps of the image processing. The actual processing takes time and will be perform later on"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a67484c",
   "metadata": {},
   "source": [
    "#### 5. Load the data from the profilometry. You can use the `netCDF4` library.  The signal is a 3 dimensional matrix $h(x,y,t)$. At some point, you will have to concatenate the data from several files to have a long enough duration of the loaded data (use the ` concatenate` function from `numpy`). We are rather interested in the normal velocity signal rather than the deformation. Compute the velocity by simple finite difference. Show a snapshot of the velocity at a given time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ebf5e575",
   "metadata": {},
   "outputs": [],
   "source": [
    "import netCDF4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "45a97690",
   "metadata": {},
   "outputs": [],
   "source": [
    "# parameters for this part\n",
    "# Nb files to concatenate\n",
    "Nf=16\n",
    "# index of first file\n",
    "N1=1\n",
    "# number of windows for Welch method\n",
    "Nw=4;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8841d6bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "fname=\"imt\"+f\"{N1}\"+\".nc\"\n",
    "print(fname)\n",
    "nc = netCDF4.Dataset(fname)\n",
    "h=nc.variables['h']\n",
    "#the dimensions are flipped compared to matlab: t,x,y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7ca57f4d",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "8ee33698",
   "metadata": {},
   "source": [
    "#### We want to compute the Fourier spectrum in both $(\\vec k,\\omega)$ space. \n",
    "For this we will use the Welch method and compute  $$S(\\vec k,\\omega)=\\langle |\\hat v(\\vec k,\\omega)|^2\\rangle$$ The Fourier transform in space will be performed over all available space but the Fourier transform in time will be performed over a window of finite duration $T$ that you have to choose. $T$ must be long enough to get a good resolution in frequency. The average $\\langle \\cdot \\rangle$ is then performed over successive time windows.\n",
    "\n",
    "As the signal is not periodic neither in space and time, a Hanning (or other) window must be used in all dimensions (space and time). The 3D Hanning window can be computed from 1D Hanning windows simply by $$h_{3D}(x,y,t)=h_x(x)h_y(y)h_t(t)$$ where $h_i$ is the Hanning window in the $i$ dimension. The spectrum is then computed by performing the Fourier transform of $v(x,y,t)h_{3D}(x,y,t)$.\n",
    "\n",
    "#### 6. Compute the 3D hanning window for your choice of $T$. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a226978d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# parameters for this part\n",
    "# Nb files to concatenate\n",
    "Nf=8\n",
    "# index of first file\n",
    "N1=1\n",
    "# number of windows for Welch method\n",
    "Nw=25;\n",
    "\n",
    "Lx=65;\n",
    "Ly=50;\n",
    "\n",
    "hx=np.hanning(Lx)\n",
    "hy=np.hanning(Ly)\n",
    "ht=np.hanning(Nf*500-1)\n",
    "h2D=np.zeros((Lx,Ly))\n",
    "for i in range(0,Lx):\n",
    "    h2D[i,:]=hy*hx[i]\n",
    "h3D=np.zeros((Nf*500-1,Lx,Ly))\n",
    "for i in range(0,Nf*500-1):\n",
    "    h3D[i,:,:]=h2D*ht[i]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "803e4ee3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "827f2a1d",
   "metadata": {},
   "source": [
    "#### 7. By loading successive time windows of the signal (at least 4), compute the spectrum $S(\\vec k,\\omega)$.  For a faster computation, you should use the `fft` function from `scipy` with the option `workers=-1` or  use `workers=c` were `c` is the number of logical processors of your computer (for example `fft.fftn(v*h3D,workers=-1`)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "863b35ed",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "85e04065",
   "metadata": {},
   "source": [
    "#### 8. Plot a slice of the spectrum (which is a 3D matrix) to show that the vibration is indeed made of waves. The dispersion relation of the bending waves of a flat plate is $\\omega=Ck^2$. Is it consistent with your observation ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "64b8caff",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "beff771a",
   "metadata": {},
   "source": [
    "#### 9. From the 3D spectrum, compute the frequency only spectrum $S(\\omega)$. Plot it in a figure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c55d7328",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cfb89ef5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "190e6267",
   "metadata": {},
   "source": [
    "The spectrum is made of a large collection of peaks. To understand the reason why the spectrum is not continuous as expected from the weak turbulence theory, we would like to see the deformation associated to each one of these peaks. For this we can compute $\\langle|v(x,y,\\omega)|.^2\\rangle$ using the Welch method. In this case, a Hanning function can be used only in the time dimension.\n",
    "\n",
    "#### 10. Why should one use the modulus square and not simply $\\langle v(x,y,\\omega)\\rangle$ ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "415b7368",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "0ddd29ad",
   "metadata": {},
   "source": [
    "#### 11. Compute the relevant Hanning window and $\\langle|v(x,y,\\omega)|.^2\\rangle$. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b723bf18",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "27e6e100",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "ce4614a1",
   "metadata": {},
   "source": [
    "#### 12. For the lowest frequency peaks in the spectrum, show the result. Comment."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c0f94dd7",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e99de3e7",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7896a673",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
