BraineryByte_ZeroLengthElement_OrientOption.ipynb

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   "source": [
    "<font size=\"4\" face=\"verdana\" color=\"red\"> Brainery Byte\n",
    "<hr></font>\n",
    "<font size=\"6\" face=\"Arial\" color=\"blue\"> <b>zeroLength Elements in OpenSees: </font><br><br>\n",
    "    <font size=\"8\" face=\"Arial\" color=\"blue\">Local Axes and User-Defined Orientation</b> <br>\n",
    "    <br>\n",
    "<br>\n",
    "</font><p>\n",
    "\n",
    "<font size=\"4\" face=\"verdana\" color=\"black\">\n",
    " R211231 <br>\n",
    " Bijan Sayyafzadeh & Silvia Mazzoni,  2021 <br><br>\n",
    "    b.sayyaf@yahoo.com, silviamazzoni@yahoo.com\n",
    "<br><br><br>\n",
    "The objective of this workbook is to provide a better understanding of the orientation of the local axes of the zeroLength elements in OpenSees and how to use the -orient option. Two examples are provided: one in 2D and one in 3D<br>\n",
    "    <p>\n",
    "</font><p>\n",
    "<font size=\"2\" face=\"verdana\" color=\"black\">    \n",
    "Because we are working in Binder, and Binder sessions are meant to be ephemeral, it is not possible for you to save any changes you make to your Jupyter Notebook. If you do make changes or notes, you will need to download the notebook to your own computer by clicking File > Download as > Notebook (.ipynb). The only way you will be able to run these is if you have the appropriate software to run Jupyter Notebooks in Python and pip install OpenSeesPy and eSEESminiPy in your Python configuration. You may view my videos on how to install Anaconda, Jupyter Notebooks and OpenSeesPy (https://www.youtube.com/c/silviasbrainery).\n",
    "    \n",
    "This Code has been developed by Bijan Sayyafzadeh & Silvia Mazzoni. Please acknowledge this in your scripts, when applicable\n",
    "    </font><p>"
   ]
  },
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   "source": [
    "## Problem definition:\n",
    "\n",
    "ZeroLength elements in OpenSees are elements with no length and consequently no obvious direction, so it is important that user define his purpose direction for Opensees.<br>\n",
    "The number of degrees of freedom for this element are defined by the -ndf flag in the OpenSees Model Builder. <br>\n",
    "In a 3D system (ndm = 3) with 6 DOF/node (ndf=6) a zero-length element has 3 translational DOFS and three rotational DOF. By default, the primary tranlational DOFs (or primary element axes) are oriented along the global X,Y, and Z axes.<br>\n",
    "When the zeroLength element is used at the end of a beam-column element, however, the user may want to line the primary axes/DOFs of the zeroLenth element with those of the beam-column element. <br>\n",
    "Imagine that zero length element has an imaginary direction and then take a look at the below image:"
   ]
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    }
   },
   "cell_type": "markdown",
   "id": "3c3a6137",
   "metadata": {},
   "source": [
    "![Direction.jpg](attachment:Direction.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0a2964f",
   "metadata": {},
   "source": [
    "**How can we define the 1-2-3 local axis for the element in Opensees?** <br>\n",
    "The user-defined orientation of the element axes can be defined using the optional <-orient> flag in the input command where you define the orientation of the DOF-1 (=x) and DOF-2 (=y) axes: <br>\n",
    "<li> element('zeroLength', eleTag, *eleNodes, '-mat', *matTags, '-dir', *dirs, <'-doRayleigh', rFlag=0>, <b><'-orient', *vecx, *vecyp></b>)</li>\n",
    "    where:\n",
    "    <li> <b> vecx</b> a list of vector components in global coordinates defining local x-axis (optional)</li>\n",
    "<li> <b>vecyp</b>: a list of vector components in global coordinates defining vector yp which lies in the local x-y plane for the element. (optional) </li>\n",
    "\n",
    "The vecx vector needs to be defined exactly parallel to the DOF-1 axis of the zeroLength element. The vecyp vector can be any vector that is parallel to a plane defined by the DOF-1 and DOF-2 (x and y) axes of the element. OpenSees will take the cross product of vecx and vecyp to define the DOF-3 (z) axis of the element. It will then take the cross product of the DOF-3 and DOF-1 axes to compute the exact DOF-2 axis of the element.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "10269021",
   "metadata": {},
   "outputs": [],
   "source": [
    "import opensees.openseespy as ops\n",
    "import eSEESminiPy as slv # eSEESminiPy Python Package by Dr. **Silvia Mazzoni** has been used for plotting.\n",
    "import math\n",
    "%matplotlib notebook\n",
    "\n",
    "def PerformAnalysis():\n",
    "    '''\n",
    "    This Function is set to run analysis\n",
    "    '''\n",
    "    ops.wipeAnalysis()\n",
    "    ops.system(\"UmfPack\")                   # create SOE\n",
    "    ops.numberer(\"RCM\")                     # create DOF number\n",
    "    ops.constraints(\"Plain\")                # create constraint handler\n",
    "    ops.integrator(\"LoadControl\", 1.0)      # create integrator\n",
    "    ops.algorithm(\"Linear\")                 # create algorithm\n",
    "    ops.analysis(\"Static\")                  # create analysis object\n",
    "    ops.analyze(1)                          # perform the analysis\n",
    "    \n",
    "#Constants\n",
    "transfTag =1\n",
    "# make beam-column element very stiff, so all deformation will be at the zeroLength elements\n",
    "A=1\n",
    "E=1000000\n",
    "G_mod=1000\n",
    "Jxx=1000\n",
    "I=1000\n",
    "Iz=100\n",
    "transfTag=1\n",
    "tsTag=1\n",
    "eleTag=1\n",
    "Theta=45\n",
    "Theta=math.radians(Theta)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b1149a4",
   "metadata": {},
   "source": [
    "**2D Model:**\n",
    "\n",
    "In first step we define a simple 2D model and check the effect of defining the <-orient>. In below example a zeroLength element has been defined at each end node, nodes 1 and 3. The axes of first element (at node 1) are defined using the default option of being aligned with the global coordinates. At the other end, however, the orientation of the zerolength element is at a 45-degree angle to the global x and y axes: the element x axis is defined by the vector (1,1), which has a 45-degree orientation from the horizontal global x axis. It is parallel to the beam-column element used in this demonstration. The element xy plane is defined by the vector (0,1), which is parallel to the global y axis. By taking cross products, the element z axis comes out of the plane. Taking the cross product again defines the element y axis to be perpendicular to the element x axis and in the plane, hence at 45 degrees from the global y axis. <br>\n",
    "\n",
    "For both zero elements, local direction 2 has been released, while the other dofs are kept rigid. A perpendicular load is then applied to the middle node of the structure. \n",
    "\n",
    "**The effect of defining local axis can be seen in the tranlation of the end nodes.**<br>\n",
    "Node 1 tranlates along the y axis since this axis corresponds to the DOF-2 axis of the zeroLength element assigned to that node. Node 3 tranlates along a \n",
    "For zeroLength element, because of the local axis definition in global y direction, the release of 2nd direction is in global direction, But for the second zero length element, because the defining the local axis long the element direction, the released direction is perpendicular to the element2!."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e5965a36",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from 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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, 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\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    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=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from 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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, 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\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    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=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#2 Dimension model\n",
    "ops.wipe()\n",
    "ops.wipeAnalysis()\n",
    "ops.model('basic', '-ndm',2)\n",
    "    \n",
    "#Nodes\n",
    "ops.node(1, *[-150*math.cos(Theta),-150*math.sin(Theta)]);ops.fix(1,1,1,1)\n",
    "ops.node(12, *[-150*math.cos(Theta),-150*math.sin(Theta)]);\n",
    "ops.node(2, *[0,0]);\n",
    "ops.node(3, *[150*math.cos(Theta),150*math.sin(Theta)]);ops.fix(3,1,1,1)\n",
    "ops.node(31, *[150*math.cos(Theta),150*math.sin(Theta)]);  \n",
    "\n",
    "#Define zero length element\n",
    "matTag=1\n",
    "ops.uniaxialMaterial('Elastic', matTag, E*1e9) # rigid stiffness about dof-1 and dof-3\n",
    "ops.element('zeroLength', 3, *[1,12], '-mat', *[matTag,matTag],'-dir', *[1,3])#First Zero length element at node 1\n",
    "ops.element('zeroLength', 4, *[31,3], '-mat', *[matTag,matTag],'-dir', *[1,3],\n",
    "            '-orient', *[1*math.cos(Theta),1*math.sin(Theta),0], *[0,1,0]) #Second Zerolength element with local axis along the element 2\n",
    "\n",
    "#Define elements\n",
    "ops.geomTransf('Linear', transfTag)\n",
    "ops.element('elasticBeamColumn', 1, *[12,2], A, E, I, transfTag)\n",
    "ops.element('elasticBeamColumn', 2, *[2,31], A, E, I, transfTag)\n",
    "\n",
    "#Draw Model\n",
    "slv.drawModel(Title='Nodes and Elements (2Dimension)')\n",
    "\n",
    "#Define concentrate load and the midle point \n",
    "ops.timeSeries('Linear', tsTag)\n",
    "ops.pattern('Plain', 1, tsTag)\n",
    "ops.load(2, *[10000*math.sin(Theta),-10000*math.cos(Theta),0])\n",
    "    \n",
    "#Predefine Function to perform Analysis\n",
    "PerformAnalysis()\n",
    "\n",
    "#Draw Deformed Shape\n",
    "slv.drawDeformedShape(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d459893",
   "metadata": {},
   "source": [
    "## 3D model\n",
    "\n",
    "Like same approach for 2D example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a94ec8e5",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from 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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, 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\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    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=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from 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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, 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\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    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=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 3D\n",
    "# transfTag =1\n",
    "# A=1\n",
    "# E_mod=1000\n",
    "# G_mod=1000\n",
    "# Jxx=1000\n",
    "# I=1000\n",
    "# Iz=100\n",
    "# transfTag=1\n",
    "# tsTag=1\n",
    "# eleTag=1\n",
    "# Theta=0\n",
    "\n",
    "ops.wipe()\n",
    "ops.wipeAnalysis()\n",
    "ops.model('basic', '-ndm',3,'-ndf',6)\n",
    "    \n",
    "#Nodes\n",
    "ops.node(1, *[0,-150*math.cos(Theta),-150*math.sin(Theta)]);ops.fix(1,1,1,1,1,1,1)\n",
    "ops.node(12, *[0,-150*math.cos(Theta),-150*math.sin(Theta)]);\n",
    "ops.node(2, *[0,0,0]);\n",
    "ops.node(3, *[0,150*math.cos(Theta),150*math.sin(Theta)]);ops.fix(3,1,1,1,1,1,1)\n",
    "ops.node(31, *[0,150*math.cos(Theta),150*math.sin(Theta)]);  \n",
    "\n",
    "#element('zeroLength', eleTag, *eleNodes, '-mat', *matTags, '-dir', *dirs, <'-doRayleigh', rFlag=0>, <'-orient', *vecx, *vecyp>)\n",
    "matTag=1\n",
    "ops.uniaxialMaterial('Elastic', matTag, E*1e9)\n",
    "# the local y-axis of the element at node 1 is parallel to the global y axis\n",
    "ops.element('zeroLength', 3, *[1,12], '-mat', *[matTag,matTag,matTag,matTag,matTag],'-dir', *[1,3,4,5,6])#1st Zerolength Element in global direction\n",
    "# the local x-axis of the element lies in the y-z plane at a 45-degree orientation in that plane, as do the beam-column elements\n",
    "# the local y-axis of the element is parallel to the global x axis.\n",
    "ops.element('zeroLength', 4, *[31,3], '-mat', *[matTag,matTag,matTag,matTag,matTag],'-dir', *[1,3,4,5,6],\n",
    "            '-orient', *[0,1*math.cos(Theta),1*math.sin(Theta)], *[1,0,0])#Second Zerolength element with local axis along the element 2\n",
    " \n",
    "\n",
    "#Defining elements\n",
    "# the element lies in the global y-z plane, so the local z axis is parallel to the global x axis:\n",
    "vecxz=[1,0,0]\n",
    "ops.geomTransf('Linear', transfTag, *vecxz)\n",
    "\n",
    "ops.element('elasticBeamColumn', 1, *[12,2], A, E, E,I,I,I, transfTag)\n",
    "ops.element('elasticBeamColumn', 2, *[2,31], A, E, E,I,I,I, transfTag)\n",
    "\n",
    "#Draw Model\n",
    "slv.drawModel(Title='Nodes and Elements (3Dimension)')\n",
    "\n",
    "#Defining loads at the middle of the structure\n",
    "ops.timeSeries('Linear', tsTag)\n",
    "ops.pattern('Plain', 1, tsTag)\n",
    "ops.load(2, *[-100000,100000,0,0,0,0])\n",
    "\n",
    "#Analyse\n",
    "PerformAnalysis()\n",
    "\n",
    "slv.drawDeformedShape(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "28985cf7",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "905f4061",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}