bg_sing.ipynb

{
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   "cell_type": "code",
   "execution_count": 1,
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   },
   "outputs": [
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       "RadioButtons(description='Plasma type:', options=('Argon and electrons', 'Neon and electrons', 'Helium and ele…"
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      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/Billy/projects/jupyter/bg_sheath/functions.py:118: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  y0 = 3*(beta*Ip/(x0*(1+alpha0)))**(2/3) - 2*beta\n"
     ]
    }
   ],
   "source": [
    "import initialize\n",
    "import sheath\n",
    "import functions as f\n",
    "import ipywidgets.widgets as widgets\n",
    "import ipywidgets\n",
    "from ipywidgets import Layout\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "%matplotlib notebook\n",
    "\n",
    "# Display sliders and options\n",
    "plasma_radio_buttons = widgets.RadioButtons(\n",
    "    options=[\"Argon and electrons\", \"Neon and electrons\", \"Helium and electrons\", \"Oxygen O+ and O-\"],\n",
    "#    layout={'width': 'max-content'}, # If the items' names are long\n",
    "    description='Plasma type:')\n",
    "display(plasma_radio_buttons)\n",
    "\n",
    "bg = initialize.BetaGammaSheath()\n",
    "bg.x_array = []\n",
    "bg.y_array = []\n",
    "bg.z_array = []\n",
    "bg.N_array = []\n",
    "\n",
    "Ip_slider = widgets.FloatSlider(value=5, min=1.5, max=100, step=0.1, description='Ip:')\n",
    "beta_slider = widgets.FloatSlider(value=0.1, min=0.01, max=1.0, step=0.01, description='beta:')\n",
    "gamma_slider = widgets.FloatSlider(value=0.1, min=0.01, max=1.0, step=0.1, description='gamma_1:', disabled = True)\n",
    "gamma_button = widgets.ToggleButton(description = \"Link to beta\", value = True)\n",
    "alpha0_slider = widgets.FloatSlider(value=0.5, min=0.0, max=10.0, step=0.1, description='alpha0:')\n",
    "\n",
    "gamma_line = widgets.HBox([gamma_slider, gamma_button])\n",
    "dl = ipywidgets.jslink((beta_slider, 'value'), (gamma_slider, 'value'))\n",
    "\n",
    "sliders = widgets.VBox([Ip_slider, beta_slider, gamma_line, alpha0_slider])\n",
    "display(sliders)\n",
    "\n",
    "run_button = widgets.Button(description = \"Run calculation\")\n",
    "quasi_toogle_button = widgets.ToggleButton(value=True, description='Plot quasineutral')\n",
    "supersonic_toogle_button = widgets.ToggleButton(value=True, description='Supersonic curve')\n",
    "add_approx_button = widgets.Button(description='Add approximation', disabled = True)\n",
    "add_solution_button = widgets.Button(description='Add solution', disabled = True)\n",
    "run_plot_buttons = widgets.HBox([run_button, add_approx_button, add_solution_button])\n",
    "\n",
    "display(run_plot_buttons)\n",
    "\n",
    "info_text = widgets.Text()\n",
    "display(info_text)\n",
    "\n",
    "fig1, ax1 = plt.subplots(figsize=(9, 5))  # Create a figure containing a single axes.\n",
    "ax1.set(xlabel='Distance to the axis (lambda_D units)', ylabel='Electric potential (k_BT_e/e units)')\n",
    "ax1.grid(b = True)\n",
    "\n",
    "fig2, ax2 = plt.subplots(figsize=(9, 5))  # Create a figure containing a single axes.\n",
    "ax2.set(xlabel='Distance to the axis (lambda_D units)', ylabel='Electric potential (k_BT_e/e units)')\n",
    "ax2.grid(b = True)\n",
    "\n",
    "fig3, ax3 = plt.subplots(figsize=(9, 5))  # Create a figure containing a single axes.\n",
    "ax3.set(xlabel='Electric potential (k_BT_e/e units)', ylabel='Electric field (k_BT_e/lambda_De units)')\n",
    "ax3.grid(b = True)\n",
    "\n",
    "\n",
    "palette = plt.get_cmap('Set1')\n",
    "i_palette = 0\n",
    "\n",
    "def get_y_sing(x0a):\n",
    "    '''Helper function to get singularity curve'''\n",
    "    global bg\n",
    "    [x0, y0, ydot0, xl] = f.getInitFloat(x0a, bg)\n",
    "    return y0\n",
    "\n",
    "def get_ydot_sing(x0a):\n",
    "    '''Helper function to get singularity curve'''\n",
    "    global bg\n",
    "    [x0, y0, ydot0, xl] = f.getInitFloat(x0a, bg)\n",
    "    return ydot0\n",
    "\n",
    "def gamma_button_toggle(b):\n",
    "    '''Helper function for gamma toggle button'''\n",
    "    gamma_slider.disabled = gamma_button.value\n",
    "    global dl\n",
    "    dl.unlink()\n",
    "    if gamma_slider.disabled:\n",
    "        dl = ipywidgets.jslink((beta_slider, 'value'), (gamma_slider, 'value'))\n",
    "\n",
    "gamma_button.observe(gamma_button_toggle)\n",
    "\n",
    "def run_button_clicked(b):\n",
    "    '''Helper function to pass arguments'''\n",
    "    info_text.value = \"Calculation in progress\"\n",
    "    \n",
    "    # Pass parameters to bg\n",
    "    global bg\n",
    "    global i_palette\n",
    "    i_palette = 0\n",
    "    bg.g.Ip = Ip_slider.value\n",
    "    bg.g.beta = beta_slider.value\n",
    "    bg.g.gamma = 1/gamma_slider.value\n",
    "    bg.g.alpha0 = alpha0_slider.value\n",
    "    bg.p = initialize.Plasma(plasma_radio_buttons.value)\n",
    "    f.defineI0tuple(bg)\n",
    "    bg.c.save_approx = True\n",
    "    sheath.cylindrical(bg) #Note that adimensional plasma sheath solution does not depend on the plasma type\n",
    "    info_text.value = \"Calculation finished\"\n",
    "    \n",
    "    # Plot according to given options\n",
    "    ax1.cla()\n",
    "    ax1.grid(b = True)\n",
    "    ax1.set(xlabel='Distance to the axis (lambda_D units)', ylabel='Electric potential (k_BT_e/e units)')\n",
    "    ax2.cla()\n",
    "    ax2.grid(b = True)\n",
    "    ax2.set(xlabel='Distance to the axis (lambda_D units)', ylabel='Electric potential (k_BT_e/e units)')\n",
    "    ax3.cla()\n",
    "    ax3.set(xlabel='Electric potential (k_BT_e/e units)', ylabel='Electric field (k_BT_e/lambda_De units)')\n",
    "    ax3.grid(b = True)\n",
    "\n",
    "    #activate buttons\n",
    "    add_approx_button.disabled = False\n",
    "    add_solution_button.disabled = False\n",
    "    \n",
    "\n",
    "    # Quasineutral solution\n",
    "    if quasi_toogle_button.value:\n",
    "        bg.quasi_x_array = [f.getxCI(y, bg) for y in bg.y_array]\n",
    "        z_array_temp = [f.getydotCI(bg.quasi_x_array[i], bg.y_array[i], bg) for i in range(len(bg.y_array))]\n",
    "        bg.quasi_y_array = []\n",
    "        bg.quasi_z_array = []\n",
    "        for i in range(len(bg.y_array)):\n",
    "            if z_array_temp[i] < 0:\n",
    "                bg.quasi_y_array.append(bg.y_array[i])\n",
    "                bg.quasi_z_array.append(z_array_temp[i])\n",
    "#        bg.quasi_y_array = [bg.y_array[i] if z_array_temp[i] < 0 for i in range(len(bg.y_array)) ]\n",
    "#        bg.quasi_z_array = [z_array_temp[i] for i in range(len(bg.quasi_y_array))]\n",
    "        ax1.plot(bg.quasi_x_array, bg.y_array, color='pink', label=\"Quasineutral solution\")\n",
    "        ax2.plot(bg.quasi_x_array, bg.y_array, color='pink', label=\"Quasineutral solution\")\n",
    "        ax3.plot(bg.quasi_y_array, bg.quasi_z_array, color='pink', label=\"Quasineutral solution\")\n",
    "    \n",
    "    # Supersonic singularity curve\n",
    "    if supersonic_toogle_button.value:\n",
    "        bg.supersonic_y_array = [get_y_sing(x) for x in bg.x_array]\n",
    "        bg.supersonic_z_array = [get_ydot_sing(x) for x in bg.x_array]\n",
    "        ax1.plot(bg.x_array, bg.supersonic_y_array, color='red', label=\"Supersonic singularity curve\")\n",
    "        ax2.plot(bg.x_array, bg.supersonic_y_array, color='red', label=\"Supersonic singularity curve\")\n",
    "        ax3.plot(bg.supersonic_y_array, bg.supersonic_z_array, color='red', label=\"Supersonic singularity curve\")\n",
    "    \n",
    "    # Plot limits\n",
    "    ax1.set_xlim(0.4*bg.g.xl, 2*bg.g.xl)\n",
    "    ax1.set_ylim(0, 2.5*f.getylimit(bg))\n",
    "    ax1.legend(prop={'size': 10})\n",
    "    ax2.set_xlim(0, 2*bg.g.xl)\n",
    "    ax2.set_ylim(0, 40*f.getylimit(bg))\n",
    "    ax2.legend(prop={'size': 10})\n",
    "    ax3.set_xlim(0, 2.5*f.getylimit(bg))\n",
    "    ax3.set_ylim(6*get_ydot_sing(2*bg.g.xl), 0)\n",
    "    ax3.legend(prop={'size': 10})\n",
    "    \n",
    "run_button.on_click(run_button_clicked)\n",
    "\n",
    "def add_solution_button_clicked(b):\n",
    "    global bg\n",
    "    ax1.plot(bg.x_array, bg.y_array, color='blue', label=\"Potential profile\")\n",
    "    ax1.legend(prop={'size': 10})\n",
    "    ax2.plot(bg.x_array, bg.y_array, color='blue', label=\"Potential profile\")\n",
    "    ax2.legend(prop={'size': 10})\n",
    "    ax3.plot(bg.y_array, bg.z_array, color='blue', label=\"Potential profile\")\n",
    "    ax3.legend(prop={'size': 10})\n",
    "\n",
    "add_solution_button.on_click(add_solution_button_clicked)\n",
    "\n",
    "def add_approx_button_clicked(b):\n",
    "    global bg\n",
    "    global i_palette\n",
    "    i_palette += 1\n",
    "    if i_palette < len(bg.approx):\n",
    "        x, y, z = bg.approx[i_palette]\n",
    "        ax1.plot(x, y, color=\"green\", alpha = (0.25+0.5/i_palette))\n",
    "        ax2.plot(x, y, color=\"green\", alpha = (0.25+0.5/i_palette))\n",
    "        ax3.plot(y, z, color=\"green\", alpha = (0.25+0.5/i_palette))\n",
    "    \n",
    "add_approx_button.on_click(add_approx_button_clicked)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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