peloton.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1f72f604",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "import matplotlib.pyplot as plt\n",
    "import mplcyberpunk\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "plt.style.use(\"cyberpunk\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7883f038",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(30, 2)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('peloton.csv')\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "944e0568",
   "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_dpi_ratio', { dpi_ratio: fig.ratio });\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",
       "    // 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",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = 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",
       "            /* 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",
       "            evt.data.type = 'image/png';\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",
       "                evt.data\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 http://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",
       " * http://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.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\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, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"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.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",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['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",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df['time'],(np.cos(np.arange(30)/9.5 + np.pi)/2+0.5)*36, label='Actual PR')\n",
    "\n",
    "plt.plot(df['time'], df['output'], label='Replay', lw=3)\n",
    "plt.legend()\n",
    "mplcyberpunk.add_glow_effects()\n",
    "plt.xlabel('Ellapsed Time (seconds)')\n",
    "plt.ylabel('Total Output (KJ)')\n",
    "plt.title('Racing Yourself on Peloton')\n",
    "plt.savefig('peloton.png', dpi=150, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "74beff0e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}