{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6a764d92",
   "metadata": {},
   "source": [
    "# Mixture Models\n",
    "\n",
    "One common objective is to find similarities in data and cluster it. There are several heuristic methods to cluster them. We are going to focus on a few strongly theoretically motivated methods. Other methods use heuristics to identify similarities in data and are mentioned in the end.\n",
    "\n",
    "For the purposes of this example, we will generate a fake dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fce4d8e8",
   "metadata": {},
   "source": [
    "We start by loading the necessary Python modules. If you have not yet installed them, run the following cell to install them with pip:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "44ca341e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: numpy in /home/daniloefl/miniconda3/envs/ml2/lib/python3.6/site-packages (1.19.2)\r\n",
      "Requirement already satisfied: scikit-learn in /home/daniloefl/miniconda3/envs/ml2/lib/python3.6/site-packages (0.24.2)\r\n",
      "Requirement already satisfied: pandas in /home/daniloefl/miniconda3/envs/ml2/lib/python3.6/site-packages (1.1.5)\r\n",
      "Requirement already satisfied: matplotlib in /home/daniloefl/miniconda3/envs/ml2/lib/python3.6/site-packages (3.3.4)\r\n",
      "Requirement already satisfied: scipy>=0.19.1 in /home/daniloefl/miniconda3/envs/ml2/lib/python3.6/site-packages (from scikit-learn) (1.5.2)\r\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in /home/daniloefl/miniconda3/envs/ml2/lib/python3.6/site-packages (from scikit-learn) (2.2.0)\r\n",
      "Requirement already satisfied: joblib>=0.11 in /home/daniloefl/miniconda3/envs/ml2/lib/python3.6/site-packages (from scikit-learn) (1.0.1)\r\n",
      "Requirement already satisfied: python-dateutil>=2.7.3 in /home/daniloefl/miniconda3/envs/ml2/lib/python3.6/site-packages (from pandas) (2.8.2)\r\n",
      "Requirement already satisfied: pytz>=2017.2 in /home/daniloefl/miniconda3/envs/ml2/lib/python3.6/site-packages (from pandas) (2021.3)\r\n",
      "Requirement already satisfied: pillow>=6.2.0 in /home/daniloefl/miniconda3/envs/ml2/lib/python3.6/site-packages (from matplotlib) (8.3.1)\r\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /home/daniloefl/miniconda3/envs/ml2/lib/python3.6/site-packages (from matplotlib) (3.0.4)\r\n",
      "Requirement already satisfied: cycler>=0.10 in /home/daniloefl/miniconda3/envs/ml2/lib/python3.6/site-packages (from matplotlib) (0.11.0)\r\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /home/daniloefl/miniconda3/envs/ml2/lib/python3.6/site-packages (from matplotlib) (1.3.1)\r\n",
      "Requirement already satisfied: six>=1.5 in /home/daniloefl/miniconda3/envs/ml2/lib/python3.6/site-packages (from python-dateutil>=2.7.3->pandas) (1.16.0)\r\n"
     ]
    }
   ],
   "source": [
    "!pip install numpy scikit-learn pandas matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "300cf8d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.mixture import GaussianMixture, BayesianGaussianMixture\n",
    "from sklearn.cluster import KMeans"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ecd6a69",
   "metadata": {},
   "source": [
    "Let's generate the fake data now to have something to cluster."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4959a292",
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_clusters(mu: np.ndarray, sigma: np.ndarray, N: int) ->np.ndarray:\n",
    "    assert len(mu) == len(sigma)\n",
    "    assert N > 1\n",
    "    D = len(mu[0].shape)\n",
    "    data = np.concatenate([np.random.default_rng().multivariate_normal(mean=mu_k, cov=sigma_k, size=N)\n",
    "                           for mu_k, sigma_k in zip(mu, sigma)], axis=0)\n",
    "    source = np.concatenate([k*np.ones([N, 1]) for k in range(len(mu))], axis=0)\n",
    "    return np.concatenate([data, source], axis=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "82929490",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/daniloefl/miniconda3/envs/ml2/lib/python3.6/site-packages/ipykernel_launcher.py:6: RuntimeWarning: covariance is not positive-semidefinite.\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "data = generate_clusters(mu=[np.array([5.0, -2.0]),\n",
    "                             np.array([1.0, 5.0]),\n",
    "                             np.array([-5.0, -1.0])],\n",
    "                         sigma=[np.array([[0.1, 0.2],\n",
    "                                          [0.2, 0.1]]),\n",
    "                                np.array([[1.0, 0.5],\n",
    "                                          [0.5, 1.0]]),\n",
    "                                np.array([[2.0, 0.0],\n",
    "                                          [0.0, 5.0]])],\n",
    "                         N=1000)\n",
    "data = pd.DataFrame(data, columns=[\"x\", \"y\", \"source\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8295e8a",
   "metadata": {},
   "source": [
    "Let's print out the dataset read first."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "024fb65a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>source</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6.128013</td>\n",
       "      <td>-1.708080</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3.938043</td>\n",
       "      <td>-2.788596</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.221406</td>\n",
       "      <td>-1.813124</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.530432</td>\n",
       "      <td>-2.052744</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.903167</td>\n",
       "      <td>-1.418898</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2995</th>\n",
       "      <td>-4.874779</td>\n",
       "      <td>-1.486904</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2996</th>\n",
       "      <td>-6.650308</td>\n",
       "      <td>-0.551687</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2997</th>\n",
       "      <td>-6.388364</td>\n",
       "      <td>-2.193081</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2998</th>\n",
       "      <td>-6.324778</td>\n",
       "      <td>-0.540765</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2999</th>\n",
       "      <td>-5.787230</td>\n",
       "      <td>-0.515902</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3000 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             x         y  source\n",
       "0     6.128013 -1.708080     0.0\n",
       "1     3.938043 -2.788596     0.0\n",
       "2     4.221406 -1.813124     0.0\n",
       "3     4.530432 -2.052744     0.0\n",
       "4     4.903167 -1.418898     0.0\n",
       "...        ...       ...     ...\n",
       "2995 -4.874779 -1.486904     2.0\n",
       "2996 -6.650308 -0.551687     2.0\n",
       "2997 -6.388364 -2.193081     2.0\n",
       "2998 -6.324778 -0.540765     2.0\n",
       "2999 -5.787230 -0.515902     2.0\n",
       "\n",
       "[3000 rows x 3 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c178424",
   "metadata": {},
   "source": [
    "We can plot this fairly easily using Matplotlib."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e63b38c5",
   "metadata": {},
   "outputs": [
    {
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       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "data.plot.scatter(x=\"x\", y=\"y\", c=\"source\", colormap='viridis', ax=ax)\n",
    "ax.set(xlabel=\"x\", ylabel=r\"y\", title=\"\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a376636d",
   "metadata": {},
   "source": [
    "There are several ways of finding similarities in the data. The Gaussian Mixture Model assumes that the data has been produced exactly as in this example. For each sample, the procedure assumed to be used for the generation of each sample is the following:\n",
    "  * a random integer is chosen according to a discrete probability distribution, which identifies to which cluster the sample belongs to (this is the `source` variable in the generation procedure above);\n",
    "  * that random integer is assumed to be used to choose the mean and covariance matrix for a Gaussian random variable, which is then used to produce the observed sample.\n",
    " \n",
    "Out objective here is then to find out the probability of producing a sample for each cluster (the probabilities with which a sample belongs to one cluster instead of the others), the means and covariance matrices for the model. Using Bayes' theorem, one may write down the posterior probability for the true means, covariances and cluster probabilities ($\\theta$) given the data ($\\x$), but it is very hard to calculate the parameters from it. Let us call the cluster that a specific sample belongs to, $z$.\n",
    "\n",
    "The true posterior would look like this:\n",
    "\n",
    "$p(\\theta|x) = \\frac{p(x|\\theta) p(\\theta)}{p(x)}$\n",
    "\n",
    "We assume $p(\\theta)$ is constant for all $\\theta$ and we know $p(x)$ is independent of $\\theta$ (because it is just the probability we obtained the existing data). We also know that $p(x|\\theta) = \\sum_z p(x,z|\\theta)$, since summing over all $z$, we obtain a total probability 1 of getting any $z$.\n",
    "\n",
    "$p(\\theta|x) \\propto \\sum_z p(x,z|\\theta) = \\sum_z p(x|\\theta,z) p(z|\\theta)$\n",
    "\n",
    "Where we have expanded it on $z$ using $p(a,b) = p(a|b)p(b)$.\n",
    "\n",
    "Now if we want to find the most probable $\\theta$ from this posterior (the \"maximum a posteriori\", or \"MAP\"), we just need to maximize the right-hand side of the last equation. This is very hard to do, but we can use the Expectation-Maximization (EM) algorithm, on which we iteratively improve our probability estimates. This method works as follows.\n",
    "\n",
    "First we define the log-likelihood $LL(\\theta|z) = \\log L(\\theta|z) = \\log p(x|\\theta,z) = \\sum_{k=\\text{sample}} \\log p(x_k|\\theta,z_k)$. Since we are assuming that the probability for each data sample $x_k$ is a Gaussian distribution, each of the terms in the sum is a Gaussian probability, so if we know $\\theta$ and $z_k$, this full sum can be calculated. The issue is that we do not know $z_k$ (that is the whole point!).\n",
    "\n",
    "We start by assuming $\\theta=\\theta_0$ for some random initial value of the parameters. The EM method iterates on two steps:\n",
    "\n",
    "  1. Calculate the *average* value of $LL(\\theta|z)$ over $z$ assuming the current $\\theta_i$ to calculate $p(z|\\theta)$, that is: $Q(\\theta) = \\sum_z LL(\\theta|z) p(z|\\theta_i)$. This means we calculate the weighted sum of the log-likelihood a point belongs to each Gaussian, weighted by the probability that that Gaussian was the reason that sample was generated. This avoids needing to know the correct $z_k$, since we just sum over all possibilities. The weights of this weighted sum are simply one of the parameters $\\theta$, namely, the cluster probabilities.\n",
    "  \n",
    "  2. Find the $\\theta$ which maximizes $Q(\\theta)$ and use this as the next $\\theta_{i+1}$.\n",
    "\n",
    "These two steps are iterated to improve the $\\theta$ for several iterations. It can be shown that an improvement on $Q$ following this procedure leads to a new $\\theta$ that improves the posterior probability $p(\\theta|x)$ above (see https://en.wikipedia.org/wiki/Expectation%E2%80%93maximization_algorithm#Proof_of_correctness ).\n",
    "\n",
    "We will not write all of this from scratch. Instead, we use the `GaussianMixture` function in `scikit-learn`, which has this ready for us. It is nevertheless important to understand the assumptions made here: the underlying samples are assumed to come from a discrete combination of Gaussians. Other mixture models are possible using other underlying distributions, but note that this method will not work if the samples do not follow this generative pattern."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0837b3ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "gmm = GaussianMixture(n_components=3, covariance_type=\"full\", max_iter=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8798f857",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GaussianMixture(max_iter=20, n_components=3)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gmm.fit(data.loc[:, [\"x\", \"y\"]])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e928f498",
   "metadata": {},
   "source": [
    "Now that we have model fit, we can even check the fit parameters $\\theta$, which include the means, the covariance matrices and the probabilities given to each Gaussian in the mixture:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fb5796e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 4.98067655, -2.00779217],\n",
       "       [-4.96087396, -1.06118412],\n",
       "       [ 1.02445445,  5.03277158]])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gmm.means_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "182904d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[ 0.19237869,  0.09361426],\n",
       "        [ 0.09361426,  0.20047796]],\n",
       "\n",
       "       [[ 1.95114689, -0.01346582],\n",
       "        [-0.01346582,  5.10415062]],\n",
       "\n",
       "       [[ 0.91835643,  0.48388716],\n",
       "        [ 0.48388716,  1.03723078]]])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gmm.covariances_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2faa1f72",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.33333333, 0.33282526, 0.33384141])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gmm.weights_"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b54001fc",
   "metadata": {},
   "source": [
    "We can predict to which cluster each sample belongs now by selecting the cluster for each sample that maximizes the probability $p(z|\\theta,x)$, now that we know $\\theta$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "cc8fc1f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "guess = gmm.predict(data.loc[:, [\"x\", \"y\"]])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68560fb4",
   "metadata": {},
   "source": [
    "Let's plot it!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "88982b21",
   "metadata": {},
   "outputs": [],
   "source": [
    "data.loc[:, \"guess\"] = guess"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "333581b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    canvas_div.setAttribute(\n",
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       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
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       "    canvas.classList.add('mpl-canvas');\n",
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       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
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       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
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       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
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       "\n",
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       "            canvas_div.style.width = width + 'px';\n",
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       "        canvas_div.focus();\n",
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       "\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",
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       "\n",
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       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10, 10), ncols=2)\n",
    "data.plot.scatter(x=\"x\", y=\"y\", c=\"guess\", colormap='viridis', ax=ax[0])\n",
    "data.plot.scatter(x=\"x\", y=\"y\", c=\"source\", colormap='viridis', ax=ax[1])\n",
    "ax[0].set(xlabel=\"x\", ylabel=r\"y\", title=\"Guessed source\")\n",
    "ax[1].set(xlabel=\"x\", ylabel=r\"y\", title=\"True association\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b1363ec",
   "metadata": {},
   "source": [
    "Note that if the sample clusters were not \"blobs\" of data, but were in concentric circles, the assumption of this method would be false and the method would simply not work well. This is why it is important to understand the underlying assumptions made in the method."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7076f779",
   "metadata": {},
   "source": [
    "## K-Means\n",
    "\n",
    "Another common method used for clustering is the K-Means, on which one simply tries to find the cluster centers which minimize in-cluster distances (in an Euclidean sense) while maximizing distances between the centers. It can be shown that this method is a special case of the Gaussian Mixture Model when the covariance matrices are diagonal, which would mean that within each blob, there is no correlation between the variables (see https://en.wikipedia.org/wiki/K-means_clustering#Gaussian_mixture_model and references).\n",
    "\n",
    "While this is an approximation of the GMM model, it is still a very useful approach, since there are faster algorithms to achieve the clustering than for GMMs.\n",
    "\n",
    "The scikit-learn module also provides an easy-to-use implementation of this algorithm:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2f280e1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KMeans(n_clusters=3)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kmeans = KMeans(n_clusters=3)\n",
    "kmeans.fit(data.loc[:, [\"x\", \"y\"]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "950a7eec",
   "metadata": {},
   "outputs": [],
   "source": [
    "data.loc[:, \"guess_kmeans\"] = kmeans.predict(data.loc[:, [\"x\", \"y\"]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "16a56489",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
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       "        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",
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       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
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       "\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",
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       "        fig.send_message('refresh', {});\n",
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       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
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       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10, 10), ncols=2)\n",
    "data.plot.scatter(x=\"x\", y=\"y\", c=\"guess_kmeans\", colormap='viridis', ax=ax[0])\n",
    "data.plot.scatter(x=\"x\", y=\"y\", c=\"source\", colormap='viridis', ax=ax[1])\n",
    "ax[0].set(xlabel=\"x\", ylabel=r\"y\", title=\"Guessed source using K-Means\")\n",
    "ax[1].set(xlabel=\"x\", ylabel=r\"y\", title=\"True association\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2fe3cad2",
   "metadata": {},
   "source": [
    "## Variational Inference on Gaussian Mixture Models\n",
    "\n",
    "While the Gaussian Mixture Model presented beforehand had a very strong theoretical background, it still assumes that there is a single correct value for the Gaussian parameters. This may not be the case if the Gaussian model is only approximate (as is very often the case!).\n",
    "\n",
    "One improvement to the Gaussian Mixture Models to allow for some uncertainty on the means and covariances would be to assume that also those quantities are random variables which came from some other probability distribution (as with the cluster identification, $z$ previously). In this case, we would obtain an uncertainty for our Gaussian parameters themselves!\n",
    "\n",
    "Optimizing this model becomes even more complicated as the derivation shown before and if we wanted to be fully general, we would need to use very slow algorithms, such as Monte-Carlo sampling to obtain uncertainties with the least amount of extra assumptions. This is often undesirable, since we need fast clustering and often Monte-Carlo sampling is very slow with even more data! An alternative is to assume some underlying prior probability for the means and covariances and find those parameters as well in an optimization algorithm. This is what is done in Variational Inference. Further details can be seen in Bishop (2006), or in a more practical approach, here: https://scikit-learn.org/stable/modules/mixture.html#bgmm\n",
    "\n",
    "We can also easily use this method in our toy data, taking the code from scikit-learn:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "0a8642bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "bgmm = BayesianGaussianMixture(n_components=3)\n",
    "bgmm.fit(data.loc[:, [\"x\", \"y\"]])\n",
    "data.loc[:, \"guess_bgmm\"] = bgmm.predict(data.loc[:, [\"x\", \"y\"]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ccbf4019",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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      "text/plain": [
       "<IPython.core.display.HTML object>"
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10, 10), ncols=2)\n",
    "data.plot.scatter(x=\"x\", y=\"y\", c=\"guess_bgmm\", colormap='viridis', ax=ax[0])\n",
    "data.plot.scatter(x=\"x\", y=\"y\", c=\"source\", colormap='viridis', ax=ax[1])\n",
    "ax[0].set(xlabel=\"x\", ylabel=r\"y\", title=\"Guessed source using Variation Inference GMM\")\n",
    "ax[1].set(xlabel=\"x\", ylabel=r\"y\", title=\"True association\")\n",
    "plt.show()"
   ]
  },
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   "cell_type": "markdown",
   "id": "72508ead",
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    "## Other heuristic approaches\n",
    "\n",
    "Many other heuristic approaches for clustering have been developed. Some of them rely on a strong foundation in statistics, others take a more practical approach and make assumptions on how the data samples are expected to be distributed in the $xy$ scatter plot. The following methods deserve a look if you are not familiar with them already:\n",
    "\n",
    "  * DBSCAN (see https://scikit-learn.org/stable/modules/generated/sklearn.cluster.DBSCAN.html ). Uses the euclidean distances between the samples to define if a sample belongs in a cluster or another. The assumption is related to GMMs. While the GMM requires fixing the number of clusters, DBSCAN relies on the maximum distance parameter do define which samples belong to a cluster.\n",
    "  * Agglomerative clustering (see https://scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html#sklearn.cluster.AgglomerativeClustering). It uses the nearest neighbour to each sample to define which samples belong together in the same cluster. Since the cluster association is topological, it does not assume the samples make a \"blob\" of some sort, as in the case of GMM. One could for example have samples close to one another making a circle in the $xy$-scatter plane and those samples would belong to the same cluster (depending on the definition of closeness and other parameters of the algorithm).\n",
    "  * Spectral clustering (see https://scikit-learn.org/stable/modules/clustering.html#spectral-clustering). Uses K-means on another representation of the data. This representation of the data transforms the data points from the $xy$ space shown before into a space where connectedness of nearest neighbours is the criteria for similarity. For the mathematical foundation, this document may be useful: https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.165.9323&rep=rep1&type=pdf\n",
    "  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "488df5eb",
   "metadata": {},
   "source": [
    "### Contact us at the EuXFEL Data Analysis group at any time if you need help analysing your data!\n",
    "\n",
    "#### Data Analysis group: da@xfel.eu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "941c7cb8",
   "metadata": {},
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