TimeSeriesDebugging.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "identical-outline",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "table deleted\n"
     ]
    },
    {
     "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",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\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 (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": {
      "text/html": [
       "<img 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\" width=\"800\">"
      ],
      "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",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\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 (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=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n",
      "No handles with labels found to put in legend.\n",
      "No handles with labels found to put in legend.\n",
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "flow from FlowDB is : ((1, datetime.datetime(2021, 2, 17, 13, 7, 21), -0.463734, 0.534077),)\n",
      "flow rates load is =  0.6320192876979889 0.003964491830999805 0.5340774213713702\n",
      "flow rates HP is =  0.6340193487350078 0.003971308166207377 -0.4637337145910134\n",
      "result is ((9021, datetime.datetime(2021, 2, 17, 12, 7, 19), 24.1446, 32.7113, 25.0916, 18.2993, 30.0679, 33.7625, 29.9662, 14.7565, 24.8887, 26.648, 26.6819, 26.5127, 26.6142, 26.4111, 34.8819, 28.7131, 27.6973, 27.1219, 26.9188),)\n",
      "cop of system is: -0.7553739674373015\n",
      "kwh heat addition is : -2.251131018989143e-06\n",
      "electricity in khW is: 2.980154355367025e-06\n",
      "cop of system is: -0.7553739674373015\n",
      "kwh heat addition is : -2.251131018989143e-06\n",
      "electricity in khW is: 2.980154355367025e-06\n",
      "RangeIndex(start=0, stop=1, step=1)\n",
      "________________________________________________________________\n",
      "flow from FlowDB is : ((2, datetime.datetime(2021, 2, 17, 13, 7, 24), -0.463734, 1.32313),)\n",
      "flow rates load is =  0.6340193487350078 0.0039770376912244875 1.3231252342444757\n",
      "flow rates HP is =  0.6340193487350078 0.003971308166207377 -0.4637337145910134\n",
      "result is ((9023, datetime.datetime(2021, 2, 17, 12, 7, 23), 24.1784, 32.7113, 25.0916, 18.2993, 30.034, 33.7625, 29.9662, 14.7565, 24.8887, 26.648, 26.6819, 26.5465, 26.6142, 26.4111, 34.9158, 28.7131, 27.6973, 27.1219, 26.9188),)\n",
      "cop of system is: -0.7551831482975772\n",
      "kwh heat addition is : -6.75318225817066e-06\n",
      "electricity in khW is: 8.942442999945748e-06\n",
      "cop of system is: -0.7551831482975772\n",
      "kwh heat addition is : -6.75318225817066e-06\n",
      "electricity in khW is: 8.942442999945748e-06\n",
      "RangeIndex(start=0, stop=2, step=1)\n",
      "________________________________________________________________\n",
      "flow from FlowDB is : ((3, datetime.datetime(2021, 2, 17, 13, 7, 27), -0.463734, 2.90122),)\n",
      "flow rates load is =  0.6380194708090458 0.004002129411673854 2.9012208599907954\n",
      "flow rates HP is =  0.6340193487350078 0.003971308166207377 -0.4637337145910134\n",
      "result is ((9025, datetime.datetime(2021, 2, 17, 12, 7, 26), 24.1784, 32.7113, 25.0578, 18.333, 30.034, 33.7625, 29.9662, 14.7565, 24.8887, 26.648, 26.6819, 26.5127, 26.6142, 26.4111, 34.9158, 28.7469, 27.6973, 27.1219, 26.9526),)\n",
      "cop of system is: -0.7226594954885779\n",
      "kwh heat addition is : -1.0144698573682661e-05\n",
      "electricity in khW is: 1.4038006332185536e-05\n",
      "cop of system is: -0.7226594954885779\n",
      "kwh heat addition is : -1.0144698573682661e-05\n",
      "electricity in khW is: 1.4038006332185536e-05\n",
      "RangeIndex(start=0, stop=3, step=1)\n",
      "________________________________________________________________\n",
      "flow from FlowDB is : ((4, datetime.datetime(2021, 2, 17, 13, 7, 29), 1.89827, 1.32313),)\n",
      "flow rates load is =  0.6340193487350078 0.0039770376912244875 1.3231252342444757\n",
      "flow rates HP is =  0.6360194097720268 0.003983835952220649 1.898269662232681\n",
      "result is ((9026, datetime.datetime(2021, 2, 17, 12, 7, 28), 24.1784, 32.7113, 25.0916, 18.2993, 30.034, 33.7625, 30.0001, 14.7902, 24.8887, 26.648, 26.6819, 26.5465, 26.6142, 26.4111, 34.9158, 28.7131, 27.6973, 27.1219, 26.9188),)\n",
      "cop of system is: -0.05354929404525439\n",
      "kwh heat addition is : -9.302431478004859e-07\n",
      "electricity in khW is: 1.7371716366873848e-05\n",
      "cop of system is: -0.05354929404525439\n",
      "kwh heat addition is : -9.302431478004859e-07\n",
      "electricity in khW is: 1.7371716366873848e-05\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-20-73611f941cf2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m    466\u001b[0m     \u001b[0;31m#heatAddition_kwh, cop = MCT_timeStamp(lol, timePeriod)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    467\u001b[0m     \u001b[0;31m# Plot tem values as a seperate first fig\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 468\u001b[0;31m     \u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplotObject\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m  \u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.7\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mscm\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mscm\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    469\u001b[0m     \u001b[0;31m#plot load_kW in different fig2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    470\u001b[0m     \u001b[0mfig2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplotObject_Load\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mGrossDf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfig2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-20-73611f941cf2>\u001b[0m in \u001b[0;36mplotObject\u001b[0;34m(df, ax, fig, alpha, scm)\u001b[0m\n\u001b[1;32m    278\u001b[0m                 label = 'Layer ' + str(i))\n\u001b[1;32m    279\u001b[0m         \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlegend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbbox_to_anchor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0.4\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m0.8\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 280\u001b[0;31m     \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    281\u001b[0m     \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlegend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    282\u001b[0m     \u001b[0;31m#plt.legend(loc='upper left')\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/backends/backend_webagg_core.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    150\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_png_is_old\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    151\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 152\u001b[0;31m             \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    153\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    154\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmanager\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrefresh_all\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# Swap the frames.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/backends/backend_agg.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    405\u001b[0m              (self.toolbar._wait_cursor_for_draw_cm() if self.toolbar\n\u001b[1;32m    406\u001b[0m               else nullcontext()):\n\u001b[0;32m--> 407\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    408\u001b[0m             \u001b[0;31m# A GUI class may be need to update a window using this draw, so\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    409\u001b[0m             \u001b[0;31m# don't forget to call the superclass.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/artist.py\u001b[0m in \u001b[0;36mdraw_wrapper\u001b[0;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     39\u001b[0m                 \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     40\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 41\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0martist\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     42\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     43\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0martist\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_agg_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/figure.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m   1862\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpatch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1863\u001b[0m             mimage._draw_list_compositing_images(\n\u001b[0;32m-> 1864\u001b[0;31m                 renderer, self, artists, self.suppressComposite)\n\u001b[0m\u001b[1;32m   1865\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1866\u001b[0m             \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose_group\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'figure'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/image.py\u001b[0m in \u001b[0;36m_draw_list_compositing_images\u001b[0;34m(renderer, parent, artists, suppress_composite)\u001b[0m\n\u001b[1;32m    129\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mnot_composite\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mhas_images\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    130\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[0;32min\u001b[0m \u001b[0martists\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 131\u001b[0;31m             \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    132\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    133\u001b[0m         \u001b[0;31m# Composite any adjacent images together\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/artist.py\u001b[0m in \u001b[0;36mdraw_wrapper\u001b[0;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     39\u001b[0m                 \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     40\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 41\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0martist\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     42\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     43\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0martist\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_agg_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/cbook/deprecation.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*inner_args, **inner_kwargs)\u001b[0m\n\u001b[1;32m    409\u001b[0m                          \u001b[0;32melse\u001b[0m \u001b[0mdeprecation_addendum\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    410\u001b[0m                 **kwargs)\n\u001b[0;32m--> 411\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minner_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0minner_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    412\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    413\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self, renderer, inframe)\u001b[0m\n\u001b[1;32m   2745\u001b[0m             \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstop_rasterizing\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2746\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2747\u001b[0;31m         \u001b[0mmimage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_draw_list_compositing_images\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0martists\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2748\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2749\u001b[0m         \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose_group\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'axes'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/image.py\u001b[0m in \u001b[0;36m_draw_list_compositing_images\u001b[0;34m(renderer, parent, artists, suppress_composite)\u001b[0m\n\u001b[1;32m    129\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mnot_composite\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mhas_images\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    130\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[0;32min\u001b[0m \u001b[0martists\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 131\u001b[0;31m             \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    132\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    133\u001b[0m         \u001b[0;31m# Composite any adjacent images together\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/artist.py\u001b[0m in \u001b[0;36mdraw_wrapper\u001b[0;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     39\u001b[0m                 \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     40\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 41\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0martist\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     42\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     43\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0martist\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_agg_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/legend.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m    612\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    613\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlegendPatch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 614\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_legend_box\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    615\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    616\u001b[0m         \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose_group\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'legend'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/offsetbox.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m    360\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mox\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moy\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_visible_children\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moffsets\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    361\u001b[0m             \u001b[0mc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_offset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpx\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mox\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpy\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0moy\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 362\u001b[0;31m             \u001b[0mc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    363\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    364\u001b[0m         \u001b[0mbbox_artist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfill\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprops\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpad\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/offsetbox.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m    360\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mox\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moy\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_visible_children\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moffsets\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    361\u001b[0m             \u001b[0mc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_offset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpx\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mox\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpy\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0moy\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 362\u001b[0;31m             \u001b[0mc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    363\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    364\u001b[0m         \u001b[0mbbox_artist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfill\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprops\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpad\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/offsetbox.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m    360\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mox\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moy\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_visible_children\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moffsets\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    361\u001b[0m             \u001b[0mc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_offset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpx\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mox\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpy\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0moy\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 362\u001b[0;31m             \u001b[0mc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    363\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    364\u001b[0m         \u001b[0mbbox_artist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfill\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprops\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpad\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/offsetbox.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m    354\u001b[0m         \"\"\"\n\u001b[1;32m    355\u001b[0m         width, height, xdescent, ydescent, offsets = self.get_extent_offsets(\n\u001b[0;32m--> 356\u001b[0;31m                                                         renderer)\n\u001b[0m\u001b[1;32m    357\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    358\u001b[0m         \u001b[0mpx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpy\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_offset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwidth\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheight\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mxdescent\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mydescent\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/offsetbox.py\u001b[0m in \u001b[0;36mget_extent_offsets\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m    543\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    544\u001b[0m         whd_list = [c.get_extent(renderer)\n\u001b[0;32m--> 545\u001b[0;31m                     for c in self.get_visible_children()]\n\u001b[0m\u001b[1;32m    546\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    547\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mwhd_list\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/offsetbox.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    543\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    544\u001b[0m         whd_list = [c.get_extent(renderer)\n\u001b[0;32m--> 545\u001b[0;31m                     for c in self.get_visible_children()]\n\u001b[0m\u001b[1;32m    546\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    547\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mwhd_list\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/offsetbox.py\u001b[0m in \u001b[0;36mget_extent\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m    882\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mget_extent\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    883\u001b[0m         _, h_, d_ = renderer.get_text_width_height_descent(\n\u001b[0;32m--> 884\u001b[0;31m             \"lp\", self._text._fontproperties, ismath=False)\n\u001b[0m\u001b[1;32m    885\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    886\u001b[0m         \u001b[0mbbox\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minfo\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0md\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_text\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_layout\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/backends/backend_agg.py\u001b[0m in \u001b[0;36mget_text_width_height_descent\u001b[0;34m(self, s, prop, ismath)\u001b[0m\n\u001b[1;32m    235\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    236\u001b[0m         \u001b[0mflags\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_hinting_flag\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 237\u001b[0;31m         \u001b[0mfont\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_agg_font\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    238\u001b[0m         \u001b[0mfont\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_text\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0.0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mflags\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mflags\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    239\u001b[0m         \u001b[0mw\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mh\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfont\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_width_height\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# width and height of unrotated string\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/backends/backend_agg.py\u001b[0m in \u001b[0;36m_get_agg_font\u001b[0;34m(self, prop)\u001b[0m\n\u001b[1;32m    270\u001b[0m         \u001b[0mGet\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mfont\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mtext\u001b[0m \u001b[0minstance\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcaching\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mefficiency\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    271\u001b[0m         \"\"\"\n\u001b[0;32m--> 272\u001b[0;31m         \u001b[0mfname\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfindfont\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    273\u001b[0m         \u001b[0mfont\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_font\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    274\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/matplotlib/font_manager.py\u001b[0m in \u001b[0;36mfindfont\u001b[0;34m(self, prop, fontext, directory, fallback_to_default, rebuild_if_missing)\u001b[0m\n\u001b[1;32m   1312\u001b[0m             \u001b[0mprop\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfontext\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdirectory\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfallback_to_default\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrebuild_if_missing\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1313\u001b[0m             rc_params)\n\u001b[0;32m-> 1314\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrealpath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1315\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1316\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mlru_cache\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/lib/python3.7/posixpath.py\u001b[0m in \u001b[0;36mrealpath\u001b[0;34m(filename)\u001b[0m\n\u001b[1;32m    393\u001b[0m symbolic links encountered in the path.\"\"\"\n\u001b[1;32m    394\u001b[0m     \u001b[0mfilename\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfspath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 395\u001b[0;31m     \u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mok\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_joinrealpath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    396\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mabspath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    397\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/lib/python3.7/posixpath.py\u001b[0m in \u001b[0;36m_joinrealpath\u001b[0;34m(path, rest, seen)\u001b[0m\n\u001b[1;32m    427\u001b[0m             \u001b[0;32mcontinue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    428\u001b[0m         \u001b[0mnewpath\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 429\u001b[0;31m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mislink\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnewpath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    430\u001b[0m             \u001b[0mpath\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnewpath\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    431\u001b[0m             \u001b[0;32mcontinue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/lib/python3.7/posixpath.py\u001b[0m in \u001b[0;36mislink\u001b[0;34m(path)\u001b[0m\n\u001b[1;32m    169\u001b[0m     \u001b[0;34m\"\"\"Test whether a path is a symbolic link\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    170\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 171\u001b[0;31m         \u001b[0mst\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlstat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    172\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mOSError\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mAttributeError\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    173\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "import time\n",
    "import board\n",
    "import busio\n",
    "import pandas as pd\n",
    "from pandas import DataFrame\n",
    "from matplotlib import pylab\n",
    "import matplotlib.pyplot as plt\n",
    "from pylab import *\n",
    "import pylab\n",
    "import numpy as np\n",
    "import matplotlib.colors as clrs\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib\n",
    "from collections import deque\n",
    "\n",
    "import time\n",
    "import struct\n",
    "from struct import *\n",
    "from pyModbusTCP.client import ModbusClient\n",
    "\n",
    "#matplotlib.use('TkAgg')\n",
    "%matplotlib notebook\n",
    "#%matplotlib inline\n",
    "\n",
    "\n",
    "#import time\n",
    "import sys\n",
    "import sqlite3\n",
    "#from time import sleep\n",
    "\n",
    "#import adafruit_ads1x15.ads1015 as ADS\n",
    "import adafruit_ads1x15.ads1115 as ADS\n",
    "from adafruit_ads1x15.analog_in import AnalogIn\n",
    "\n",
    "import MySQLdb as db\n",
    "\n",
    "HOST = \"10.208.8.122\"\n",
    "PORT = 3306\n",
    "USER = \"yogi\"\n",
    "PASSWORD = \"bittoo\"\n",
    "DB = \"TemaccessToRemoteRp2\"\n",
    "'''\n",
    "try:\n",
    "    connection = db.Connection(host=HOST, port=PORT,\n",
    "                               user=USER, passwd=PASSWORD, db=DB)\n",
    "\n",
    "    c = connection.cursor()\n",
    "    c.execute(\"SELECT * from temSensor\")\n",
    "    result = c.fetchall()\n",
    "    for item in result:\n",
    "        print (item)\n",
    "\n",
    "except Exception as e:\n",
    "    print (e)\n",
    "'''\n",
    "connectionL = db.connect(host=\"10.208.8.121\",\n",
    "                     user=\"yogi\",\n",
    "                     passwd=\"bittoo\",\n",
    "                     db=\"allSensors\")\n",
    "\n",
    "#c = conn.cursor()\n",
    "connectionR = db.Connection(host=HOST, port=PORT,user=USER, passwd=PASSWORD, db=DB)\n",
    "\n",
    "cR = connectionR.cursor()\n",
    "cL =connectionL.cursor()\n",
    "\n",
    "i2c = busio.I2C(board.SCL, board.SDA)\n",
    "\n",
    "# Create the ADC object using the I2C bus\n",
    "ads = ADS.ADS1115(i2c)\n",
    "\n",
    "ads.gain = 1\n",
    "\n",
    "\n",
    "cL.execute('DROP TABLE IF EXISTS flowReadings;')\n",
    "print ('table deleted')\n",
    "\n",
    "\n",
    "cL.execute('CREATE TABLE flowReadings(id INT AUTO_INCREMENT PRIMARY KEY, ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP, flowHP FLOAT, flowLoad FLOAT) ENGINE=MyISAM;')\n",
    "\n",
    "\n",
    "#cvsFileName = import os.path\n",
    "#os.path.exists(file_path)\n",
    "\n",
    "lol=[[], [], [], []]\n",
    "flowRateLoad  = []\n",
    "wattMeterKw = []\n",
    "\n",
    "\n",
    "\n",
    "def flatten(l_of_l):\n",
    "    T = l_of_l[0]\n",
    "    flattend_l = [val for sublist in T for val in sublist]\n",
    "    #print ('flattened list is =', flattend_l)\n",
    "    return flattend_l\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "timePeriod = []\n",
    "def timeStampCreator(Lol):\n",
    "    mHP = Lol[2]\n",
    "    T = flatten(Lol)\n",
    "    if len(mHP) == 1:\n",
    "        timeStamp = 2/3600\n",
    "        timePeriod.append(timeStamp)\n",
    "    elif len(mHP) > 1:\n",
    "        timeLast = T[-1][1]\n",
    "        timeSecondLast = T[-2][1]\n",
    "        timeStamp = timeLast -timeSecondLast\n",
    "        timeStamp = timeStamp.total_seconds()/3600\n",
    "        timePeriod.append(timeStamp)\n",
    "    return \n",
    "    \n",
    "\n",
    "def MCT_timeStamp(Lol, time_stamp):\n",
    "    mHP = Lol[2]\n",
    "    T = flatten(Lol)\n",
    "    mL = Lol[1]\n",
    "    watt_kW = Lol[3]\n",
    "    p_LperH = [999.8473664794213 + 6.29265190e-02*x[2] - 8.42930922e-03*x[2]**2 + 6.77190849e-05*x[2]**3 \\\n",
    " - 4.40840180e-07*x[2]**4 + 1.29302849e-09*x[2]**5 for x in T]\n",
    "    mF_kgPerS =[ x*2.7777e-07*y for x, y in zip(p_LperH, mHP)]\n",
    "    cP_kjPerkgK = [4.253264761904763 - 0.00470305*b[2] for b in T]\n",
    "    mCT_kW = [c*a*(b[3]-b[4]) for c, a, b in zip(cP_kjPerkgK,mF_kgPerS, T)]\n",
    "    mCT_kWh_l = [x*y for x,y in zip (time_stamp, mCT_kW)]\n",
    "    mCT_kWh = sum(mCT_kWh_l)\n",
    "    #electricty consumed:\n",
    "    watt_kW_l = [x*y for x,y in zip (time_stamp,  watt_kW)]\n",
    "    watt_kWh = sum(watt_kW_l)\n",
    "    #cop \n",
    "    cop =mCT_kWh/watt_kWh\n",
    "    print ('cop of system is:', cop)\n",
    "    print ('kwh heat addition is :', mCT_kWh)\n",
    "    #print ('whole kW list is:', mCT_kW)\n",
    "    print ('electricity in khW is:', watt_kWh)\n",
    "    #print ('electricity consumption kW :', watt_kW)\n",
    "    return mCT_kW\n",
    "    \n",
    "def Cop(Lol, time_stamp):\n",
    "    mHP = Lol[2]\n",
    "    T = flatten(Lol)\n",
    "    mL = Lol[1]\n",
    "    watt_kW = Lol[3]\n",
    "    p_LperH = [999.8473664794213 + 6.29265190e-02*x[2] - 8.42930922e-03*x[2]**2 + 6.77190849e-05*x[2]**3 \\\n",
    " - 4.40840180e-07*x[2]**4 + 1.29302849e-09*x[2]**5 for x in T]\n",
    "    mF_kgPerS =[ x*2.7777e-07*y for x, y in zip(p_LperH, mHP)]\n",
    "    cP_kjPerkgK = [4.253264761904763 - 0.00470305*b[2] for b in T]\n",
    "    mCT_kW = [c*a*(b[3]-b[4]) for c, a, b in zip(cP_kjPerkgK,mF_kgPerS, T)]\n",
    "    mCT_kWh_l = [x*y for x,y in zip (time_stamp, mCT_kW)]\n",
    "    mCT_kWh = sum(mCT_kWh_l)\n",
    "    #electricty consumed:\n",
    "    watt_kW_l = [x*y for x,y in zip (time_stamp,  watt_kW)]\n",
    "    watt_kWh = sum(watt_kW_l)\n",
    "    #cop \n",
    "    cop =mCT_kWh/watt_kWh\n",
    "    print ('cop of system is:', cop)\n",
    "    print ('kwh heat addition is :', mCT_kWh)\n",
    "    #print ('whole kW list is:', mCT_kW)\n",
    "    print ('electricity in khW is:', watt_kWh)\n",
    "    #print ('electricity consumption kW :', watt_kW)\n",
    "    return cop\n",
    "\n",
    "\n",
    "l_id = []\n",
    "\n",
    "def idGenerator(Id, l_id):\n",
    "    if Id not in l_id:\n",
    "       l_id.append(Id) \n",
    "    #print (l_id)\n",
    "    return l_id\n",
    "\n",
    "#df_conc= None\n",
    "def dfs(Lol):\n",
    "    mHP = Lol[2]\n",
    "    T = flatten(Lol)\n",
    "    mL = Lol[1]\n",
    "    StartTemTestingtank = [ 'id', 'dateTime', 'Tamb', 'TtopTestTankHPCir', 'TbottomTestTankHpCir', 'TtopSourceTank', \\\n",
    "'TloadTankMix','TTopTestTankLoadCir', 'TloadMix', 'TbottomSourceTank', 'TbottomTestTankLoadCir']\n",
    "    l_T = ['T{}'.format(x) for x in range(0,10)]\n",
    "    L = StartTemTestingtank +l_T\n",
    "    df_mHP = DataFrame(mHP, columns=['flowHP'])\n",
    "    df_mL = DataFrame(mL, columns=['flowLoad'])\n",
    "    df_tem = DataFrame(T, columns = L)\n",
    "    df_conc = pd.concat([df_tem, df_mHP, df_mL], axis=1)\n",
    "    \n",
    "    #print (df_mL)\n",
    "    #print (df_mHP)\n",
    "    #print (df_tem)\n",
    "    #print ('TOut and Tin in Df is:', df_conc[['TTopTestTankLoadCir', 'TbottomTestTankLoadCir']])\n",
    "    return df_conc\n",
    "\n",
    "def list2df(lis, column_name = None):\n",
    "    df  = pd.DataFrame(lis, columns = [column_name]) \n",
    "    return df\n",
    "    \n",
    "def toCsv(df_full, load_kW, heatCapacity_kW):\n",
    "    df_Tem_Flow_Load_capacity_conc = pd.concat([df_full, load_kW, heatCapacity_kW], axis=1)\n",
    "    import os.path\n",
    "    import datetime\n",
    "    file_name = 'csvFile_{}'.format(datetime.datetime.now().strftime(\"%Y_%m_%d\"))\n",
    "    suffix = '.csv'\n",
    "    filePath = os.path.join(os.getcwd(), file_name + suffix)\n",
    "    df_Tem_Flow_Load_capacity_conc.to_csv(filePath, header=True)\n",
    "    return df_Tem_Flow_Load_capacity_conc\n",
    "\n",
    "def Load_kWh(Lol):\n",
    "    \n",
    "    mHP = Lol[2]\n",
    "    T = flatten(Lol)\n",
    "    mL = Lol[1]\n",
    "    #this is density as polynomial function of T\n",
    "    p_LperH = [999.8473664794213 + 6.29265190e-02*x[10] - 8.42930922e-03*x[10]**2 + 6.77190849e-05*x[10]**3 \\\n",
    " - 4.40840180e-07*x[10]**4 + 1.29302849e-09*x[10]**5 for x in T]\n",
    "    #print ('denisty is:', p_LperH )\n",
    "    #print ('Tem is:', [x[10] for x in T])\n",
    "    # this is mass flow  in kg/S =  density*V(flow rate in m^3/sec)= d * (1000^-3/3600)\n",
    "    mF_kgPerS =[ x*2.7777e-07*y for x, y in zip(p_LperH, mL)]\n",
    "    #this is Cp as functiono of T linear function\n",
    "    cP_kjPerkgK = [4.253264761904763 - 0.00470305*b[10] for b in T]\n",
    "    #print ('Cp is:', cP_kjPerkgK)\n",
    "    #Cp*M*deltaT\n",
    "    load_mCT_kW = [c*a*(b[7]-b[10]) for c, a, b in zip(cP_kjPerkgK,mF_kgPerS, T)]\n",
    "    #mCT2_kWh = sum([m*c*(dt[7]-dt[10])*0.0013888889 for m, c, dt in zip(mF_kgPerS,  cP_kjPerkgK, T)])\n",
    "    #load_mCT2_kWh = sum([m*c*(dt[7]-dt[10])*2.7777777e-05 for m, c, dt in zip(mF_kgPerS,  cP_kjPerkgK, T)])\n",
    "    #Time stamp uis 2 seconds 2* 1/3600\n",
    "    load_mCT2_kWh = sum([m*c*(dt[7]-dt[10])*0.000555555556 for m, c, dt in zip(mF_kgPerS,  cP_kjPerkgK, T)])\n",
    "    #print ('Load in kWh is:', load_mCT2_kWh)\n",
    "    return load_mCT_kW\n",
    "\n",
    "def tankStrat(df):\n",
    "    dfT = df.iloc[:, 11:-2]\n",
    "    #print (dfT.columns)\n",
    "    #print (dfT)\n",
    "    dfT = dfT[['T4', 'T3', 'T2', 'T1', 'T0', 'T9', 'T8', 'T7', 'T6', 'T5']]\n",
    "    dfT = dfT.rename({'T4':'T0', 'T3':'T1', 'T2':'T2', 'T1':'T3', 'T0':'T4', 'T9':'T5', 'T8':'T6',\\\n",
    "              'T7':'T7','T6':'T8','T5':'T9'}, axis='columns')\n",
    "    #dfT = dfT[['T4', 'T3', 'T2', 'T1', 'T0', 'T5', 'T6', 'T7', 'T8', 'T9']]\n",
    "    #dfT = dfT[['T4', 'T3', 'T2', 'T1', 'T0', 'T8', 'T9', 'T5', 'T6', 'T7']]\n",
    "    #dfT = dfT.rename({'T4':'T0', 'T3':'T1', 'T2':'T2', 'T1':'T3', 'T0':'T4', 'T8':'T5', 'T9':'T6',\\\n",
    "    #           'T5':'T7','T6':'T8','T7':'T9'}, axis='columns')\n",
    "    #dfT = dfT.rename({'T4':'T0', 'T3':'T1', 'T2':'T2', 'T1':'T3', 'T0':'T4', 'T5':'T5', 'T6':'T6',\\\n",
    "    #          'T7':'T7','T8':'T8','T9':'T9'}, axis='columns')\n",
    "    #dfT.columns = ['T4', 'T3', 'T2', 'T1', 'T0', 'T5', 'T6', 'T7', 'T8', 'T9']\n",
    "    #print (dfT)\n",
    "    return dfT\n",
    "#tankStratTem = tankStrat(df_conc)\n",
    "\n",
    "def create_color_step_obj(cmap_name, n):\n",
    "    \"\"\"\n",
    "    Return scalarMap object with n colors in gradient from color map\n",
    "    given in cmap_name.\n",
    "    \"\"\"\n",
    "    cmap = plt.get_cmap(cmap_name)\n",
    "    values = range(n)\n",
    "    cNorm  = clrs.Normalize(vmin=values[0], vmax=values[-1])\n",
    "    scalarMap = cm.ScalarMappable(norm=cNorm, cmap=cmap)\n",
    "    return scalarMap\n",
    "\n",
    "#import logging\n",
    "#logging.getLogger().setLevel(logging.CRITICAL)\n",
    "\n",
    "# colors\n",
    "\n",
    "\n",
    "cmap_name = \"jet\"\n",
    "scm = create_color_step_obj(cmap_name, 10)\n",
    "\n",
    "plt.ion()\n",
    "#plt.rcParams[\"figure.figsize\"]=5,5\n",
    "fig_size = plt.rcParams[\"figure.figsize\"]\n",
    "fig_size[0] = 8\n",
    "fig_size[1] = 3\n",
    "def plotObject(df, ax, fig, alpha =0.7, scm=None):\n",
    "    ax.clear()\n",
    "    for i in range (0, df.shape[1]):\n",
    "        ax.plot(df.index, df.iloc[:, i], color= scm.to_rgba(i, alpha=alpha),\\\n",
    "                label = 'Layer ' + str(i))\n",
    "        ax.legend(bbox_to_anchor=(0.4,0.8))\n",
    "    fig.canvas.draw()\n",
    "    ax.legend()\n",
    "    #plt.legend(loc='upper left')\n",
    "    return fig, ax\n",
    "    \n",
    "# initialize figure and interactivity\n",
    "fig = plt.figure(1)\n",
    "fig2 = plt.figure(2)\n",
    "\n",
    "\n",
    "ax = fig.add_subplot(121)\n",
    "ax_2 = fig.add_subplot(122)\n",
    "ax2 = fig2.add_subplot(122)\n",
    "ax2_1 = fig2.add_subplot(121)\n",
    "\n",
    "fig.canvas.draw()\n",
    "#plt.ion()\n",
    "\n",
    "fig.show()\n",
    "\n",
    "ax.legend(loc='best')\n",
    "ax.set_xlabel('Index')\n",
    "ax.set_ylabel('Tem, C', color='r')\n",
    "#################################\n",
    "#Plot for HPin, Hpout, TmixL tem.\n",
    "\n",
    "fig.show()\n",
    "fig.canvas.draw()\n",
    "ax_2.legend(loc='best')\n",
    "ax_2.set_xlabel('Index')\n",
    "ax_2.set_ylabel('Load in kW', color='r')\n",
    "def plotObject_Tem_HpAndLoad(df, ax_2, fig):\n",
    "    ax_2.clear()\n",
    "    ax_2.plot(df.index, df.iloc[:, 3], label = 'Hp to Testing tank top')\n",
    "    ax_2.plot(df.index, df.iloc[:, 4], label = 'Testing tank to HP Bottom')\n",
    "    ax_2.plot(df.index, df.iloc[:, 8], label = 'load tem Mixed')\n",
    "    \n",
    "    ax_2.legend(bbox_to_anchor=(0.4,0.8))\n",
    "    fig.canvas.draw()\n",
    "    ax_2.legend()\n",
    "    #plt.legend(loc='upper left')\n",
    "    return fig, ax_2\n",
    "##################################\n",
    "\n",
    "#fig2 = plt.figure(2)\n",
    "\n",
    "#plt.ion()\n",
    "\n",
    "fig2.show()\n",
    "fig2.canvas.draw()\n",
    "ax2.legend(loc='best')\n",
    "ax2.set_xlabel('Index')\n",
    "ax2.set_ylabel('Load in kW', color='r')\n",
    "def plotObject_Load(df, ax2, fig2):\n",
    "    ax2.clear()\n",
    "    ax2.plot(df.index, df.iloc[:, -2], label = 'Load in kW')\n",
    "    #ax2.plot(df.index, COP, label = 'cop')\n",
    "    print (df.index)\n",
    "    ax2.legend(bbox_to_anchor=(0.4,0.8))\n",
    "    fig2.canvas.draw()\n",
    "    ax2.legend()\n",
    "    #plt.legend(loc='upper left')\n",
    "    return fig2, ax2\n",
    "    \n",
    "# initialize figure and interactivity\n",
    "####Plot for heat_Capacity:\n",
    "\n",
    "fig2.show()\n",
    "fig2.canvas.draw()\n",
    "ax2_1.legend(loc='best')\n",
    "ax2_1.set_xlabel('Index')\n",
    "ax2_1.set_ylabel('Heat_Capacity in kW', color='r')\n",
    "def plotObject_Heat_Capacity(df, ax2_1, fig2):\n",
    "    ax2_1.clear()\n",
    "    ax2_1.plot(df.index, df.iloc[:, -1], label = 'heat_Capacity in kW')\n",
    "    ax2_1.legend(bbox_to_anchor=(0.4,0.8))\n",
    "    fig2.canvas.draw()\n",
    "    ax2_1.legend()\n",
    "    #plt.legend(loc='upper left')\n",
    "    return fig2, ax2_1\n",
    "############\n",
    "\n",
    "while True:\n",
    "    #c.execute(\"INSERT INTO flowReadings(flowHp, flowLoad) VALUES(?,?,?,?)\", (chan2.voltage, chan1.voltage))\n",
    "    #connection.commit()\n",
    "    \n",
    "    ###################################################################################\n",
    "    ################################################\n",
    "    ##Modbus connection for wattmeter readings in kW\n",
    "    ##https://stackoverflow.com/questions/28186746/python-convert-2-ints-to-float\n",
    "    ################################################\n",
    "    \n",
    "    c = ModbusClient(host=\"10.208.8.125\", port=502, auto_open=True)\n",
    "    \n",
    "    #This reads the register address 19026 where all teh meteric(values of wattmeter) \n",
    "    #values are stored in a 16 bit values.county = 2, means read two values in the\n",
    "    #same register address.Register is a column (like in spreadsheet). each register\n",
    "    #store a 16 bit value, we read two 16 bit value and would convert those 2 16 bit \n",
    "    #value to a 32 bit floating point value by the formula\n",
    "    regs = c.read_input_registers(19026, 2)\n",
    "    #this is forst value of two counts\n",
    "    a = regs[0]\n",
    "    #This is second value of two counts\n",
    "    b = regs[1]\n",
    "    #This is how we convert two 16 bit value to a single 32 floating point number.\n",
    "    #from stackoverflow\n",
    "    mypack = pack('>HH',a,b)\n",
    "    #print (mypack)\n",
    "    fl = unpack('>f', mypack)\n",
    "    #fl = struct.unpack('!f', bytes.fromhex('{0:02x}'.format(a) + '{0:02x}'.format(b)))\n",
    "    #fl is a tuple (5.0186,) I need to unpack it index it with [0] \n",
    "    fl = fl[0]*10**-3\n",
    "    wattMeterKw.append(fl)\n",
    "    #lol[3].append(fl)\n",
    "    #print ('watter meter reaidngs are:', wattMeterKw)\n",
    "    #print ('gross lol is:', lol)\n",
    "    ####################################################################################\n",
    "    \n",
    "    chan1 = AnalogIn(ads, ADS.P0)\n",
    "    chan2 = AnalogIn(ads, ADS.P1)\n",
    "\n",
    "    chan1Vol = chan1.voltage\n",
    "    chan1curr = chan1Vol/159.42\n",
    "\n",
    "    chan2Vol = chan2.voltage\n",
    "    chan2curr=chan2Vol/159.65\n",
    "    #flow1 = ((chan1Vol/159.42)*1000 -4)/16*1000\n",
    "    flow1 = ((chan1Vol/159.42)-0.003956)/0.0000159\n",
    "    #flow2 = ((chan2Vol/159.65)*1000 -4)/16*4000 +20\n",
    "    #flow2 = ((chan2Vol/159.65)- 0.0005468893873066417)/1.09561608e-05\n",
    "    flow2 = ((chan2Vol/159.65)- 0.003973767754877122)/5.3038815e-06\n",
    "    cL.execute(\"INSERT INTO flowReadings(flowHp, flowLoad) VALUES(%s, %s)\", (flow2, flow1))\n",
    "    connectionL.commit()\n",
    "    \n",
    "    #cL =connectionL.cursor()\n",
    "    cL.execute(\"SELECT * FROM flowReadings ORDER BY id DESC LIMIT 1\")\n",
    "    FlowFormDb = cL.fetchall()\n",
    "    print ('flow from FlowDB is :',FlowFormDb)\n",
    "    #c.execute(\"SELECT * from temSensor\")\n",
    "    #cR.execute(\"SELECT * FROM temSensor ORDER BY id DESC LIMIT 1\")\n",
    "    #result = cR.fetchall()\n",
    "    #print('flow HP:',\"{:>5}\\t{:>5.3f}\".format(chan2.value, chan2.voltage), '\\n\\n')\n",
    "    #print('flow load:',\"{:>5}\\t{:>5.3f}\".format(chan1.value, chan1.voltage, '\\n\\n'))\n",
    "    print('flow rates load is = ',chan1Vol, chan1curr,flow1 )\n",
    "    print('flow rates HP is = ',chan2Vol, chan2curr,flow2 )\n",
    "\n",
    "    connectionR = db.Connection(host=HOST, port=PORT,user=USER, passwd=PASSWORD, db=DB)\n",
    "    cR = connectionR.cursor()\n",
    "    #c.execute(\"SELECT * from temSensor\")\n",
    "    cR.execute(\"SELECT * FROM temSensor ORDER BY id DESC LIMIT 1\")\n",
    "    result = cR.fetchall()\n",
    "    print ('result is',result)\n",
    "    id = result[0][0]\n",
    "    #idGenerator(id, l_id)\n",
    "    #print ('id is :', id)\n",
    "    flowRateLoad.append(flow1)\n",
    "\n",
    "    if lol[0] ==[] or id < lol[0][-1][0][0] :\n",
    "        lol[0].append(result)\n",
    "        #print (lol)\n",
    "        lol[1].append(flow1)\n",
    "        lol[2].append(flow2)\n",
    "        lol[3].append(fl)\n",
    "        timeStampCreator(lol)\n",
    "    elif lol[0] != [] and id > lol[0][-1][0][0]:\n",
    "\n",
    "        lol[0].append(result)\n",
    "        lol[1].append(flow1)\n",
    "        lol[2].append(flow2)\n",
    "        lol[3].append(fl)\n",
    "        timeStampCreator(lol)\n",
    "\n",
    "\n",
    "    #mct(lol)\n",
    "    #Load = Load_kWh(lol)\n",
    "    #print ('load in kWh is:', Load)\n",
    "    #print ('lol is:',lol)\n",
    "    #print ('df of tem is:',df_tem)\n",
    "    #print ('df is:', tankStrat(dfs(lol)))\n",
    "    df = tankStrat(dfs(lol))\n",
    "    #restTem = InletTem(dfs(lol))\n",
    "    #print (df)\n",
    "    \n",
    "    cop = Cop(lol, timePeriod)\n",
    "    \n",
    "    GrossDf = toCsv(dfs(lol), list2df(Load_kWh(lol), 'Load_kW'), list2df(MCT_timeStamp(lol, timePeriod),'Heat_Capacity_kW'))\n",
    "    #heatAddition_kwh, cop = MCT_timeStamp(lol, timePeriod)\n",
    "    # Plot tem values as a seperate first fig\n",
    "    fig, ax = plotObject(df, ax,  fig, alpha=0.7, scm=scm)\n",
    "    #plot load_kW in different fig2 \n",
    "    fig2, ax2 = plotObject_Load(GrossDf, ax2, fig2)\n",
    "    #Plot heat_Capacity in the same fig as fig2 but as a subplot\n",
    "    fig2, ax2_1 =plotObject_Heat_Capacity(GrossDf, ax2_1, fig2)\n",
    "    #This plot the HP in and out and tmixL laod tem.\n",
    "    fig, ax_1 = plotObject_Tem_HpAndLoad(GrossDf, ax_2, fig)\n",
    "    \n",
    "    #print ('df whole is:', dfs(lol))\n",
    "    #print ('df is:', df)\n",
    "    #plot(tankStrat(dfs(lol)), plotObject(tankStrat(dfs(lol))))\n",
    "    #plotObject(tankStrat(dfs(lol)))for i in range (0, 10):\n",
    "    #x = tankStrat(dfs(lol)).index[-1]\n",
    "    #y =tankStrat(dfs(lol)).iloc[-1]\n",
    "    #print ('x is:',x,'y is :',y)\n",
    "    #restTem = InletTem(dfs(lol))\n",
    "    #print ('rets of inlet tem values are:', restTem.iloc[:, 1])\n",
    "    #print ('gross lol is:', lol)\n",
    "    #print ('values in teh list are:', lol[0][-1][0][0])\n",
    "    #print ('GrossDf is :', GrossDf.iloc[:, 0:2])\n",
    "    #print ('grand lollolo is :', lol)\n",
    "    #MCT_timeStamp(lol)\n",
    "    #timeStampCreator(lol)\n",
    "    #MCT_timeStamp(lol, timePeriod)\n",
    "    \n",
    "    #print ('time stamp list is :',timePeriod )\n",
    "    print('________________________________________________________________')\n",
    "    time.sleep(0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "lesser-lease",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "stock-method",
   "metadata": {},
   "outputs": [],
   "source": [
    "#store the wattmeter values in databse to know their timestamp\n",
    "#plot lagtest kw heat addition [-1 ] to see why its so much fluctuating, plot latest flow rate[-1]\n",
    "#plot latest kW of electricty too\n",
    "#Hp Documenyt says: rated input - 1.27kWh for 6.08kWh of output energy at 50rps so seems ok for now\n",
    "#Its dependent on time, lower gives lower kwh heat addition, whigher gives higher. \n",
    "#Something is wrong in the formulae of heat additon in kWh\n",
    "# sum() function is not summing everything behind its summing something else, check it ="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "adjacent-ensemble",
   "metadata": {},
   "outputs": [],
   "source": [
    "#print last kw heat addition to see if its negative as its still fluctuating"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "human-disney",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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