temmeta.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyiron_experimental import Project"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "pr = Project('tem')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This group does not exist in the HDF5 file tem\n"
     ]
    }
   ],
   "source": [
    "pr.remove_jobs_silently(recursive=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "tem_job = pr.create_job(pr.job_type.TEMMETAJob, 'tem')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "tem_job.file_name = \"./experiment.emd\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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 (mpl.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: mpl.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",
       "    mpl.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",
       "    var resizeObserver = new 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 * mpl.ratio);\n",
       "                canvas.setAttribute('height', height * mpl.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 (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.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'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.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 / mpl.ratio,\n",
       "        fig.canvas.height / mpl.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 * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.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",
       "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",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / mpl.ratio;\n",
       "    fig.root.removeEventListener('remove', this._remove_fig_handler);\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 / mpl.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 () {\n",
       "    this.close_ws(this, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "    el.addEventListener('remove', this._remove_fig_handler);\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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\" width=\"512\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tem_job.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "tem_job.vector = [(35, 101), (205, 101)] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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 (mpl.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: mpl.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",
       "    mpl.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",
       "    var resizeObserver = new 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 * mpl.ratio);\n",
       "                canvas.setAttribute('height', height * mpl.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 (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.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'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.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 / mpl.ratio,\n",
       "        fig.canvas.height / mpl.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 * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.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",
       "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",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / mpl.ratio;\n",
       "    fig.root.removeEventListener('remove', this._remove_fig_handler);\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 / mpl.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 () {\n",
       "    this.close_ws(this, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "    el.addEventListener('remove', this._remove_fig_handler);\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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\" width=\"512\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tem_job.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Parameter</th>\n",
       "      <th>Value</th>\n",
       "      <th>Comment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>file_name</td>\n",
       "      <td>./experiment.emd</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>vector</td>\n",
       "      <td>[(35, 101), (205, 101)]</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Parameter                    Value Comment\n",
       "0  file_name         ./experiment.emd        \n",
       "1     vector  [(35, 101), (205, 101)]        "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tem_job.input"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The job tem was saved and received the ID: 1\n"
     ]
    }
   ],
   "source": [
    "tem_job.run()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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 (mpl.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: mpl.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",
       "    mpl.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",
       "    var resizeObserver = new 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 * mpl.ratio);\n",
       "                canvas.setAttribute('height', height * mpl.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 (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.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'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.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 / mpl.ratio,\n",
       "        fig.canvas.height / mpl.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 * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.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",
       "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",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / mpl.ratio;\n",
       "    fig.root.removeEventListener('remove', this._remove_fig_handler);\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 / mpl.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 () {\n",
       "    this.close_ws(this, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "    el.addEventListener('remove', this._remove_fig_handler);\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>"
      ]
     },
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     "output_type": "display_data"
    },
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   ],
   "source": [
    "tem_job.plot_profile()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
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       "       30893.22083333, 31223.425     , 32661.52916667])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tem_job['output/generic/profile']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>status</th>\n",
       "      <th>chemicalformula</th>\n",
       "      <th>job</th>\n",
       "      <th>subjob</th>\n",
       "      <th>projectpath</th>\n",
       "      <th>project</th>\n",
       "      <th>timestart</th>\n",
       "      <th>timestop</th>\n",
       "      <th>totalcputime</th>\n",
       "      <th>computer</th>\n",
       "      <th>hamilton</th>\n",
       "      <th>hamversion</th>\n",
       "      <th>parentid</th>\n",
       "      <th>masterid</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>finished</td>\n",
       "      <td>None</td>\n",
       "      <td>tem</td>\n",
       "      <td>/tem</td>\n",
       "      <td>/home/jovyan/</td>\n",
       "      <td>tem/</td>\n",
       "      <td>2020-09-10 20:18:27.128315</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>pyiron@jupyter-jan-2djanssen-2dpyiron-5fexperimental-2dj51g6w1p#1</td>\n",
       "      <td>GenericJob</td>\n",
       "      <td>0.4</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "   id    status chemicalformula  job subjob    projectpath project  \\\n",
       "0   1  finished            None  tem   /tem  /home/jovyan/    tem/   \n",
       "\n",
       "                   timestart timestop totalcputime  \\\n",
       "0 2020-09-10 20:18:27.128315     None         None   \n",
       "\n",
       "                                                            computer  \\\n",
       "0  pyiron@jupyter-jan-2djanssen-2dpyiron-5fexperimental-2dj51g6w1p#1   \n",
       "\n",
       "     hamilton hamversion parentid masterid  \n",
       "0  GenericJob        0.4     None     None  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pr.job_table()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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