examples/example_tracking_pipeline-features.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d4937900",
   "metadata": {},
   "source": [
    "![](https://raw.githubusercontent.com/quantumjot/btrack/main/docs/_static/btrack_logo.png)\n",
    "\n",
    "# Example of using btrack to track cells in timelapse microscopy data\n",
    "\n",
    "This notebook covers the following functionality:\n",
    "\n",
    "* Load segmentation data and localize objects\n",
    "* Load a table of localized objects \n",
    "* Run tracking algorithm\n",
    "* Inspect the output\n",
    "* Visualize the results in napari\n",
    "\n",
    "In addition, we have an extensive tutorial of the cell tracking application as part of *napari*:  \n",
    "\n",
    "https://napari.org/tutorials/tracking/cell_tracking.html"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9d1d59c",
   "metadata": {},
   "source": [
    "## Importing btrack and loading example datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7adac478",
   "metadata": {},
   "outputs": [],
   "source": [
    "import btrack\n",
    "\n",
    "from btrack import datasets"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9161ac00",
   "metadata": {},
   "source": [
    "We can automatically download some example data to play with:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4dd5ebbf",
   "metadata": {},
   "outputs": [],
   "source": [
    "CONFIG_FILE = datasets.cell_config()\n",
    "SEGMENTATION_FILE = datasets.example_segmentation_file()\n",
    "OBJECTS_FILE = datasets.example_track_objects_file()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b71ab0e",
   "metadata": {},
   "source": [
    "## Finding objects to track"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39b8c346",
   "metadata": {},
   "source": [
    "### Use case 1 - Objects from segmentation\n",
    "\n",
    "These could be objects found using algorithms such as a UNet, *CellPose* or *StarDist*. We can use `scikit-image` to load the segmentation data, which returns a numpy array of dimensions (T, Y, X)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "67d45e67",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from skimage.io import imread\n",
    "from skimage.util import montage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6aa4e90b",
   "metadata": {},
   "outputs": [],
   "source": [
    "segmentation = imread(SEGMENTATION_FILE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "130c150f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(500, 1200, 1600)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "segmentation.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be2219e0",
   "metadata": {},
   "source": [
    "### show the segmentation as a montage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3311b5c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1600x1600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "seq = montage(\n",
    "    segmentation[::20, ::10, ::10], \n",
    "    grid_shape=(5, 5), \n",
    "    padding_width=10, \n",
    "    fill=255,\n",
    ")\n",
    "\n",
    "fig, ax = plt.subplots(1, figsize=(16, 16))\n",
    "ax.imshow(seq, cmap=plt.cm.gray)\n",
    "ax.axis(False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95b699f8",
   "metadata": {},
   "source": [
    "### localize the objects\n",
    "\n",
    "Now we use a utility function to localise the objects in the segmentation. Note that we can also use scikit-image `regionprops` to calculate properties for each object, using the `properties` keyword:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "79c88726",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[INFO][2023/04/20 12:23:23 PM] Localizing objects from segmentation...\n",
      "[INFO][2023/04/20 12:23:23 PM] Processing using 4 workers.\n",
      "100%|██████████| 500/500 [00:09<00:00, 55.52it/s]\n",
      "[INFO][2023/04/20 12:23:32 PM] Objects are of type: <class 'dict'>\n",
      "[INFO][2023/04/20 12:23:32 PM] ...Found 52890 objects in 500 frames.\n"
     ]
    }
   ],
   "source": [
    "FEATURES = [\n",
    "    \"area\", \n",
    "    \"major_axis_length\", \n",
    "    \"minor_axis_length\", \n",
    "    \"orientation\", \n",
    "    \"solidity\"\n",
    "]\n",
    "\n",
    "objects = btrack.utils.segmentation_to_objects(\n",
    "    segmentation, \n",
    "    properties=tuple(FEATURES), \n",
    "    num_workers=4,  # parallelise this\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7c4ff55",
   "metadata": {},
   "source": [
    "We can also inspect each returned object to determine it's properties:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "370348e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>z</th>\n",
       "      <th>t</th>\n",
       "      <th>dummy</th>\n",
       "      <th>states</th>\n",
       "      <th>label</th>\n",
       "      <th>area</th>\n",
       "      <th>major_axis_length</th>\n",
       "      <th>minor_axis_length</th>\n",
       "      <th>orientation</th>\n",
       "      <th>solidity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>517.573657</td>\n",
       "      <td>9.07279</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>577</td>\n",
       "      <td>33.260603</td>\n",
       "      <td>22.856213</td>\n",
       "      <td>1.455708</td>\n",
       "      <td>0.968121</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "{'ID': 0, 'x': 517.5736568457539, 'y': 9.072790294627383, 'z': 0.0, 't': 0, 'dummy': False, 'states': 7, 'label': 5, 'area': 577, 'major_axis_length': 33.26060270196957, 'minor_axis_length': 22.856213196295688, 'orientation': 1.4557077137732317, 'solidity': 0.9681208053691275}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "objects[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3bf586c",
   "metadata": {},
   "source": [
    "## Running the tracking"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c4671636",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[INFO][2023/04/20 12:23:32 PM] Loaded btrack: /Users/arl/Dropbox/Code/py3/btrack/btrack/libs/libtracker.dylib\n",
      "[INFO][2023/04/20 12:23:32 PM] Starting BayesianTracker session\n",
      "[INFO][2023/04/20 12:23:32 PM] Loading configuration file: /Users/arl/Library/Caches/btrack-examples/examples/cell_config.json\n",
      "[INFO][2023/04/20 12:23:32 PM] Objects are of type: <class 'list'>\n",
      "[INFO][2023/04/20 12:23:33 PM] Starting tracking... \n",
      "[INFO][2023/04/20 12:23:33 PM] Update using: ['MOTION', 'VISUAL']\n",
      "[INFO][2023/04/20 12:23:33 PM] Tracking objects in frames 0 to 99 (of 500)...\n",
      "[INFO][2023/04/20 12:23:33 PM]  - Timing (Bayesian updates: 0.29ms, Linking: 0.20ms)\n",
      "[INFO][2023/04/20 12:23:33 PM]  - Probabilities (Link: 1.00000, Lost: 1.00000)\n",
      "[INFO][2023/04/20 12:23:33 PM]  - Stats (Active: 78, Lost: 23, Conflicts resolved: 100)\n",
      "[INFO][2023/04/20 12:23:33 PM] Tracking objects in frames 100 to 199 (of 500)...\n",
      "[INFO][2023/04/20 12:23:34 PM]  - Timing (Bayesian updates: 0.35ms, Linking: 0.24ms)\n",
      "[INFO][2023/04/20 12:23:34 PM]  - Probabilities (Link: 1.00000, Lost: 0.93010)\n",
      "[INFO][2023/04/20 12:23:34 PM]  - Stats (Active: 82, Lost: 40, Conflicts resolved: 185)\n",
      "[INFO][2023/04/20 12:23:34 PM] Tracking objects in frames 200 to 299 (of 500)...\n",
      "[INFO][2023/04/20 12:23:34 PM]  - Timing (Bayesian updates: 0.75ms, Linking: 0.31ms)\n",
      "[INFO][2023/04/20 12:23:34 PM]  - Probabilities (Link: 1.00000, Lost: 0.97175)\n",
      "[INFO][2023/04/20 12:23:34 PM]  - Stats (Active: 110, Lost: 56, Conflicts resolved: 267)\n",
      "[INFO][2023/04/20 12:23:34 PM] Tracking objects in frames 300 to 399 (of 500)...\n",
      "[INFO][2023/04/20 12:23:35 PM]  - Timing (Bayesian updates: 1.30ms, Linking: 0.39ms)\n",
      "[INFO][2023/04/20 12:23:35 PM]  - Probabilities (Link: 1.00000, Lost: 1.00000)\n",
      "[INFO][2023/04/20 12:23:35 PM]  - Stats (Active: 141, Lost: 117, Conflicts resolved: 506)\n",
      "[INFO][2023/04/20 12:23:35 PM] Tracking objects in frames 400 to 499 (of 500)...\n",
      "[INFO][2023/04/20 12:23:36 PM]  - Timing (Bayesian updates: 2.84ms, Linking: 0.52ms)\n",
      "[INFO][2023/04/20 12:23:36 PM]  - Probabilities (Link: 1.00000, Lost: 1.00000)\n",
      "[INFO][2023/04/20 12:23:36 PM] SUCCESS.\n",
      "[INFO][2023/04/20 12:23:36 PM]  - Found 337 tracks in 500 frames (in 0.0s)\n",
      "[INFO][2023/04/20 12:23:36 PM]  - Inserted 114 dummy objects to fill tracking gaps\n",
      "[INFO][2023/04/20 12:23:36 PM] Loading hypothesis model: cell_hypothesis\n",
      "[INFO][2023/04/20 12:23:36 PM] Calculating hypotheses (relax: True)...\n",
      "[INFO][2023/04/20 12:23:36 PM] Setting up constraints matrix for global optimisation...\n",
      "[INFO][2023/04/20 12:23:36 PM] Using GLPK options: {'tm_lim': 60000}...\n",
      "[INFO][2023/04/20 12:23:36 PM] Optimizing...\n",
      "[INFO][2023/04/20 12:23:36 PM] Optimization complete. (Solution: optimal)\n",
      "[INFO][2023/04/20 12:23:36 PM]  - Fates.FALSE_POSITIVE: 39 (of 337)\n",
      "[INFO][2023/04/20 12:23:36 PM]  - Fates.LINK: 30 (of 89)\n",
      "[INFO][2023/04/20 12:23:36 PM]  - Fates.DIVIDE: 24 (of 26)\n",
      "[INFO][2023/04/20 12:23:36 PM]  - Fates.INITIALIZE_BORDER: 48 (of 58)\n",
      "[INFO][2023/04/20 12:23:36 PM]  - Fates.INITIALIZE_FRONT: 70 (of 71)\n",
      "[INFO][2023/04/20 12:23:36 PM]  - Fates.INITIALIZE_LAZY: 102 (of 208)\n",
      "[INFO][2023/04/20 12:23:36 PM]  - Fates.TERMINATE_BORDER: 41 (of 52)\n",
      "[INFO][2023/04/20 12:23:36 PM]  - Fates.TERMINATE_BACK: 183 (of 187)\n",
      "[INFO][2023/04/20 12:23:36 PM]  - Fates.TERMINATE_LAZY: 20 (of 98)\n",
      "[INFO][2023/04/20 12:23:36 PM]  - TOTAL: 1126 hypotheses\n",
      "[INFO][2023/04/20 12:23:36 PM] Completed optimization with 307 tracks\n",
      "[INFO][2023/04/20 12:23:37 PM] Ending BayesianTracker session\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GLPK Integer Optimizer 5.0\n",
      "1348 rows, 1126 columns, 1604 non-zeros\n",
      "1126 integer variables, all of which are binary\n",
      "Preprocessing...\n",
      "674 rows, 1126 columns, 1604 non-zeros\n",
      "1126 integer variables, all of which are binary\n",
      "Scaling...\n",
      " A: min|aij| =  1.000e+00  max|aij| =  1.000e+00  ratio =  1.000e+00\n",
      "Problem data seem to be well scaled\n",
      "Constructing initial basis...\n",
      "Size of triangular part is 674\n",
      "Solving LP relaxation...\n",
      "GLPK Simplex Optimizer 5.0\n",
      "674 rows, 1126 columns, 1604 non-zeros\n",
      "*     0: obj =   2.154386691e+03 inf =   0.000e+00 (156)\n",
      "*   133: obj =   1.044601617e+03 inf =   0.000e+00 (0)\n",
      "OPTIMAL LP SOLUTION FOUND\n",
      "Integer optimization begins...\n",
      "Long-step dual simplex will be used\n",
      "+   133: mip =     not found yet >=              -inf        (1; 0)\n",
      "+   133: >>>>>   1.044601617e+03 >=   1.044601617e+03   0.0% (1; 0)\n",
      "+   133: mip =   1.044601617e+03 >=     tree is empty   0.0% (0; 1)\n",
      "INTEGER OPTIMAL SOLUTION FOUND\n"
     ]
    }
   ],
   "source": [
    "# initialise a tracker session using a context manager\n",
    "with btrack.BayesianTracker() as tracker:\n",
    "\n",
    "    # configure the tracker using a config file\n",
    "    tracker.configure(CONFIG_FILE)\n",
    "    tracker.max_search_radius = 50\n",
    "    tracker.tracking_updates = [\"MOTION\", \"VISUAL\"]\n",
    "    tracker.features = FEATURES\n",
    "\n",
    "    # append the objects to be tracked\n",
    "    tracker.append(objects)\n",
    "\n",
    "    # set the tracking volume\n",
    "    tracker.volume=((0, 1600), (0, 1200))\n",
    "\n",
    "    # track them (in interactive mode)\n",
    "    tracker.track(step_size=100)\n",
    "\n",
    "    # generate hypotheses and run the global optimizer\n",
    "    tracker.optimize()\n",
    "\n",
    "    # get the tracks in a format for napari visualization\n",
    "    data, properties, graph = tracker.to_napari()\n",
    "    \n",
    "    # store the tracks\n",
    "    tracks = tracker.tracks\n",
    "    \n",
    "    # store the configuration\n",
    "    cfg = tracker.configuration\n",
    "    \n",
    "    # export the track data \n",
    "    # tracker.export(\"tracks.h5\", obj_type=\"obj_type_1\")\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22dbbc90",
   "metadata": {},
   "source": [
    "## Inspecting the output"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c82f2530",
   "metadata": {},
   "source": [
    "We can also inspect each returned track to determine it's properties:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "357f882b",
   "metadata": {},
   "outputs": [],
   "source": [
    "cell = tracks[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fdd05a73",
   "metadata": {},
   "outputs": [
    {
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       "      <td>2</td>\n",
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       "      <td>656.904167</td>\n",
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       "      <td>False</td>\n",
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       "      <td>28.651696</td>\n",
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       "      <th>3</th>\n",
       "      <td>2</td>\n",
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       "      <td>656.217993</td>\n",
       "      <td>4.667820</td>\n",
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       "      <td>31.094621</td>\n",
       "      <td>1.543631</td>\n",
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       "      <td>5</td>\n",
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       "      <td>26.502698</td>\n",
       "      <td>-1.478267</td>\n",
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       "      <td>654.336420</td>\n",
       "      <td>7.256173</td>\n",
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       "      <td>1.537582</td>\n",
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       "      <td>6.971631</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>282</td>\n",
       "      <td>0.975779</td>\n",
       "      <td>20.781504</td>\n",
       "      <td>1.287062</td>\n",
       "      <td>18.031229</td>\n",
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       "      <th>7</th>\n",
       "      <td>2</td>\n",
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       "      <td>653.767790</td>\n",
       "      <td>6.632959</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
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       "      <td>False</td>\n",
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       "      <td>20.536610</td>\n",
       "      <td>1.248538</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>651.496124</td>\n",
       "      <td>6.116279</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>258</td>\n",
       "      <td>0.962687</td>\n",
       "      <td>21.267710</td>\n",
       "      <td>1.426393</td>\n",
       "      <td>16.412172</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>650.666667</td>\n",
       "      <td>8.757106</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>387</td>\n",
       "      <td>0.962687</td>\n",
       "      <td>23.116262</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>650.917355</td>\n",
       "      <td>11.621901</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>484</td>\n",
       "      <td>0.968000</td>\n",
       "      <td>27.072537</td>\n",
       "      <td>-0.063900</td>\n",
       "      <td>23.011031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>651.472727</td>\n",
       "      <td>17.923636</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>550</td>\n",
       "      <td>0.966608</td>\n",
       "      <td>33.437041</td>\n",
       "      <td>0.049244</td>\n",
       "      <td>21.201308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>651.073214</td>\n",
       "      <td>25.607143</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>560</td>\n",
       "      <td>0.957265</td>\n",
       "      <td>35.340432</td>\n",
       "      <td>0.187759</td>\n",
       "      <td>20.319206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>652.066071</td>\n",
       "      <td>33.842857</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>560</td>\n",
       "      <td>0.960549</td>\n",
       "      <td>36.576459</td>\n",
       "      <td>0.384592</td>\n",
       "      <td>19.642824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2</td>\n",
       "      <td>14</td>\n",
       "      <td>654.931159</td>\n",
       "      <td>39.880435</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>552</td>\n",
       "      <td>0.960000</td>\n",
       "      <td>36.223599</td>\n",
       "      <td>0.494032</td>\n",
       "      <td>19.545821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>658.551304</td>\n",
       "      <td>51.420870</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>575</td>\n",
       "      <td>0.964765</td>\n",
       "      <td>36.843537</td>\n",
       "      <td>0.758216</td>\n",
       "      <td>19.970874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2</td>\n",
       "      <td>16</td>\n",
       "      <td>665.468158</td>\n",
       "      <td>59.328744</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>581</td>\n",
       "      <td>0.960331</td>\n",
       "      <td>36.258716</td>\n",
       "      <td>0.985951</td>\n",
       "      <td>20.552792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2</td>\n",
       "      <td>17</td>\n",
       "      <td>676.694888</td>\n",
       "      <td>62.361022</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>626</td>\n",
       "      <td>0.975078</td>\n",
       "      <td>34.882600</td>\n",
       "      <td>1.375622</td>\n",
       "      <td>23.054872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>684.495922</td>\n",
       "      <td>64.414356</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>613</td>\n",
       "      <td>0.965354</td>\n",
       "      <td>35.126688</td>\n",
       "      <td>1.556288</td>\n",
       "      <td>22.273287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>690.362126</td>\n",
       "      <td>64.777409</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>602</td>\n",
       "      <td>0.966292</td>\n",
       "      <td>35.600053</td>\n",
       "      <td>-1.308462</td>\n",
       "      <td>21.553406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>698.672026</td>\n",
       "      <td>62.770096</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>622</td>\n",
       "      <td>0.971875</td>\n",
       "      <td>35.977421</td>\n",
       "      <td>-1.190149</td>\n",
       "      <td>22.044909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2</td>\n",
       "      <td>21</td>\n",
       "      <td>706.156452</td>\n",
       "      <td>63.150000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>620</td>\n",
       "      <td>0.968750</td>\n",
       "      <td>34.976768</td>\n",
       "      <td>-1.170644</td>\n",
       "      <td>22.647435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2</td>\n",
       "      <td>22</td>\n",
       "      <td>714.815486</td>\n",
       "      <td>61.349259</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>607</td>\n",
       "      <td>0.963492</td>\n",
       "      <td>34.302772</td>\n",
       "      <td>-1.178484</td>\n",
       "      <td>22.623333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>719.340426</td>\n",
       "      <td>59.621931</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>611</td>\n",
       "      <td>0.966772</td>\n",
       "      <td>32.099383</td>\n",
       "      <td>-1.261026</td>\n",
       "      <td>24.293669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2</td>\n",
       "      <td>24</td>\n",
       "      <td>723.737261</td>\n",
       "      <td>60.800955</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>628</td>\n",
       "      <td>0.979719</td>\n",
       "      <td>30.368433</td>\n",
       "      <td>-0.829433</td>\n",
       "      <td>26.368181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2</td>\n",
       "      <td>25</td>\n",
       "      <td>726.730475</td>\n",
       "      <td>58.179173</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>653</td>\n",
       "      <td>0.977545</td>\n",
       "      <td>32.733127</td>\n",
       "      <td>-0.430420</td>\n",
       "      <td>25.422729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2</td>\n",
       "      <td>26</td>\n",
       "      <td>731.252308</td>\n",
       "      <td>54.803077</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>650</td>\n",
       "      <td>0.974513</td>\n",
       "      <td>35.823357</td>\n",
       "      <td>-0.458310</td>\n",
       "      <td>23.170713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2</td>\n",
       "      <td>27</td>\n",
       "      <td>735.064669</td>\n",
       "      <td>54.411672</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>634</td>\n",
       "      <td>0.972393</td>\n",
       "      <td>34.964649</td>\n",
       "      <td>-0.434601</td>\n",
       "      <td>23.113645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2</td>\n",
       "      <td>28</td>\n",
       "      <td>737.873990</td>\n",
       "      <td>52.817447</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>619</td>\n",
       "      <td>0.967187</td>\n",
       "      <td>34.005785</td>\n",
       "      <td>-0.340024</td>\n",
       "      <td>23.381681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>740.206522</td>\n",
       "      <td>52.933230</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>644</td>\n",
       "      <td>0.977238</td>\n",
       "      <td>34.649572</td>\n",
       "      <td>-0.198199</td>\n",
       "      <td>23.825348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2</td>\n",
       "      <td>30</td>\n",
       "      <td>742.539535</td>\n",
       "      <td>50.424806</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>645</td>\n",
       "      <td>0.972851</td>\n",
       "      <td>35.306643</td>\n",
       "      <td>-0.049110</td>\n",
       "      <td>23.311005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2</td>\n",
       "      <td>31</td>\n",
       "      <td>743.776627</td>\n",
       "      <td>48.520710</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>676</td>\n",
       "      <td>0.974063</td>\n",
       "      <td>35.597450</td>\n",
       "      <td>0.037159</td>\n",
       "      <td>24.257832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2</td>\n",
       "      <td>32</td>\n",
       "      <td>745.105572</td>\n",
       "      <td>46.621701</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>682</td>\n",
       "      <td>0.970128</td>\n",
       "      <td>37.261919</td>\n",
       "      <td>0.010956</td>\n",
       "      <td>23.373088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2</td>\n",
       "      <td>33</td>\n",
       "      <td>746.678955</td>\n",
       "      <td>46.557604</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>651</td>\n",
       "      <td>0.967311</td>\n",
       "      <td>35.677169</td>\n",
       "      <td>-0.089553</td>\n",
       "      <td>23.342233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2</td>\n",
       "      <td>34</td>\n",
       "      <td>747.726989</td>\n",
       "      <td>45.751950</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>641</td>\n",
       "      <td>0.968278</td>\n",
       "      <td>34.424122</td>\n",
       "      <td>0.034487</td>\n",
       "      <td>23.866457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2</td>\n",
       "      <td>35</td>\n",
       "      <td>748.484848</td>\n",
       "      <td>45.757576</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>561</td>\n",
       "      <td>0.975652</td>\n",
       "      <td>32.375864</td>\n",
       "      <td>0.152389</td>\n",
       "      <td>22.125721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2</td>\n",
       "      <td>36</td>\n",
       "      <td>750.207650</td>\n",
       "      <td>45.950820</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>549</td>\n",
       "      <td>0.964851</td>\n",
       "      <td>31.106122</td>\n",
       "      <td>0.329547</td>\n",
       "      <td>22.543245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2</td>\n",
       "      <td>37</td>\n",
       "      <td>752.942056</td>\n",
       "      <td>47.330841</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>535</td>\n",
       "      <td>0.978062</td>\n",
       "      <td>28.332604</td>\n",
       "      <td>0.557640</td>\n",
       "      <td>24.062315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2</td>\n",
       "      <td>38</td>\n",
       "      <td>753.998214</td>\n",
       "      <td>46.433929</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>560</td>\n",
       "      <td>0.972222</td>\n",
       "      <td>29.033863</td>\n",
       "      <td>0.423860</td>\n",
       "      <td>24.591968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2</td>\n",
       "      <td>39</td>\n",
       "      <td>756.433812</td>\n",
       "      <td>44.827751</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>627</td>\n",
       "      <td>0.973602</td>\n",
       "      <td>30.377878</td>\n",
       "      <td>0.349960</td>\n",
       "      <td>26.387649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2</td>\n",
       "      <td>40</td>\n",
       "      <td>761.611367</td>\n",
       "      <td>43.715822</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>651</td>\n",
       "      <td>0.967311</td>\n",
       "      <td>32.130936</td>\n",
       "      <td>0.361234</td>\n",
       "      <td>25.894242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>766.464873</td>\n",
       "      <td>42.626308</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>669</td>\n",
       "      <td>0.968162</td>\n",
       "      <td>34.125628</td>\n",
       "      <td>0.322389</td>\n",
       "      <td>25.048306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2</td>\n",
       "      <td>42</td>\n",
       "      <td>770.282051</td>\n",
       "      <td>40.500000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>624</td>\n",
       "      <td>0.978056</td>\n",
       "      <td>35.583927</td>\n",
       "      <td>0.127942</td>\n",
       "      <td>22.503528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2</td>\n",
       "      <td>43</td>\n",
       "      <td>771.887658</td>\n",
       "      <td>39.982595</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>632</td>\n",
       "      <td>0.966361</td>\n",
       "      <td>36.534183</td>\n",
       "      <td>0.093182</td>\n",
       "      <td>22.083469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2</td>\n",
       "      <td>44</td>\n",
       "      <td>772.226230</td>\n",
       "      <td>40.495082</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>610</td>\n",
       "      <td>0.969793</td>\n",
       "      <td>36.606972</td>\n",
       "      <td>0.138359</td>\n",
       "      <td>21.270517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2</td>\n",
       "      <td>45</td>\n",
       "      <td>773.797735</td>\n",
       "      <td>37.951456</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>618</td>\n",
       "      <td>0.971698</td>\n",
       "      <td>36.775053</td>\n",
       "      <td>0.259084</td>\n",
       "      <td>21.413866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2</td>\n",
       "      <td>46</td>\n",
       "      <td>775.073090</td>\n",
       "      <td>37.500000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>602</td>\n",
       "      <td>0.974110</td>\n",
       "      <td>36.252512</td>\n",
       "      <td>0.363360</td>\n",
       "      <td>21.191630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2</td>\n",
       "      <td>47</td>\n",
       "      <td>776.447452</td>\n",
       "      <td>34.517516</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>628</td>\n",
       "      <td>0.964670</td>\n",
       "      <td>37.393851</td>\n",
       "      <td>0.427976</td>\n",
       "      <td>21.506802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2</td>\n",
       "      <td>48</td>\n",
       "      <td>775.385580</td>\n",
       "      <td>33.652038</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>638</td>\n",
       "      <td>0.965204</td>\n",
       "      <td>37.600324</td>\n",
       "      <td>0.415417</td>\n",
       "      <td>21.713003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2</td>\n",
       "      <td>49</td>\n",
       "      <td>773.234930</td>\n",
       "      <td>31.092736</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>647</td>\n",
       "      <td>0.965672</td>\n",
       "      <td>37.617105</td>\n",
       "      <td>0.486809</td>\n",
       "      <td>21.976399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2</td>\n",
       "      <td>50</td>\n",
       "      <td>772.053111</td>\n",
       "      <td>30.969651</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>659</td>\n",
       "      <td>0.977745</td>\n",
       "      <td>37.759118</td>\n",
       "      <td>0.516718</td>\n",
       "      <td>22.276734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>2</td>\n",
       "      <td>51</td>\n",
       "      <td>772.509146</td>\n",
       "      <td>31.797256</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>656</td>\n",
       "      <td>0.966127</td>\n",
       "      <td>37.833112</td>\n",
       "      <td>0.721002</td>\n",
       "      <td>22.191441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2</td>\n",
       "      <td>52</td>\n",
       "      <td>774.578626</td>\n",
       "      <td>33.998473</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>655</td>\n",
       "      <td>0.967504</td>\n",
       "      <td>36.218605</td>\n",
       "      <td>0.616935</td>\n",
       "      <td>23.122590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2</td>\n",
       "      <td>53</td>\n",
       "      <td>775.615269</td>\n",
       "      <td>36.708084</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>668</td>\n",
       "      <td>0.968116</td>\n",
       "      <td>36.203425</td>\n",
       "      <td>0.522354</td>\n",
       "      <td>23.595888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>2</td>\n",
       "      <td>54</td>\n",
       "      <td>776.460857</td>\n",
       "      <td>37.465288</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>677</td>\n",
       "      <td>0.968526</td>\n",
       "      <td>34.923536</td>\n",
       "      <td>0.595506</td>\n",
       "      <td>24.719909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>2</td>\n",
       "      <td>55</td>\n",
       "      <td>774.685015</td>\n",
       "      <td>36.680428</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>654</td>\n",
       "      <td>0.974665</td>\n",
       "      <td>33.010077</td>\n",
       "      <td>0.596301</td>\n",
       "      <td>25.287223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>2</td>\n",
       "      <td>56</td>\n",
       "      <td>773.838124</td>\n",
       "      <td>36.204236</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>661</td>\n",
       "      <td>0.972059</td>\n",
       "      <td>33.025831</td>\n",
       "      <td>0.627827</td>\n",
       "      <td>25.494249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2</td>\n",
       "      <td>57</td>\n",
       "      <td>771.969136</td>\n",
       "      <td>35.828704</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>648</td>\n",
       "      <td>0.971514</td>\n",
       "      <td>32.184023</td>\n",
       "      <td>0.554741</td>\n",
       "      <td>25.638999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2</td>\n",
       "      <td>58</td>\n",
       "      <td>768.344715</td>\n",
       "      <td>34.346341</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>615</td>\n",
       "      <td>0.962441</td>\n",
       "      <td>31.577509</td>\n",
       "      <td>0.701888</td>\n",
       "      <td>24.823077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2</td>\n",
       "      <td>59</td>\n",
       "      <td>766.629213</td>\n",
       "      <td>35.744783</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>623</td>\n",
       "      <td>0.958462</td>\n",
       "      <td>32.369128</td>\n",
       "      <td>0.834913</td>\n",
       "      <td>24.594350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2</td>\n",
       "      <td>60</td>\n",
       "      <td>766.491098</td>\n",
       "      <td>37.995549</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>674</td>\n",
       "      <td>0.971182</td>\n",
       "      <td>33.515532</td>\n",
       "      <td>0.770317</td>\n",
       "      <td>25.690606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>2</td>\n",
       "      <td>61</td>\n",
       "      <td>765.701556</td>\n",
       "      <td>38.185290</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>707</td>\n",
       "      <td>0.976519</td>\n",
       "      <td>33.317430</td>\n",
       "      <td>0.759814</td>\n",
       "      <td>27.069347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>2</td>\n",
       "      <td>62</td>\n",
       "      <td>765.105951</td>\n",
       "      <td>37.859216</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>689</td>\n",
       "      <td>0.975921</td>\n",
       "      <td>32.147165</td>\n",
       "      <td>0.713361</td>\n",
       "      <td>27.328073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>2</td>\n",
       "      <td>63</td>\n",
       "      <td>764.002821</td>\n",
       "      <td>38.383639</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>709</td>\n",
       "      <td>0.977931</td>\n",
       "      <td>33.398200</td>\n",
       "      <td>0.517438</td>\n",
       "      <td>27.098409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>2</td>\n",
       "      <td>64</td>\n",
       "      <td>764.496933</td>\n",
       "      <td>37.662577</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>652</td>\n",
       "      <td>0.968796</td>\n",
       "      <td>33.246672</td>\n",
       "      <td>0.541855</td>\n",
       "      <td>25.120132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2</td>\n",
       "      <td>65</td>\n",
       "      <td>764.187500</td>\n",
       "      <td>36.850962</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>624</td>\n",
       "      <td>0.978056</td>\n",
       "      <td>31.865667</td>\n",
       "      <td>0.801328</td>\n",
       "      <td>24.985531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2</td>\n",
       "      <td>66</td>\n",
       "      <td>761.564407</td>\n",
       "      <td>34.005085</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>590</td>\n",
       "      <td>0.965630</td>\n",
       "      <td>32.269392</td>\n",
       "      <td>0.772359</td>\n",
       "      <td>23.329385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2</td>\n",
       "      <td>67</td>\n",
       "      <td>761.919786</td>\n",
       "      <td>30.458111</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>561</td>\n",
       "      <td>0.972270</td>\n",
       "      <td>33.414184</td>\n",
       "      <td>0.913728</td>\n",
       "      <td>21.382589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2</td>\n",
       "      <td>68</td>\n",
       "      <td>762.509700</td>\n",
       "      <td>26.828924</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>567</td>\n",
       "      <td>0.957770</td>\n",
       "      <td>33.740980</td>\n",
       "      <td>1.118250</td>\n",
       "      <td>21.449517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2</td>\n",
       "      <td>69</td>\n",
       "      <td>759.582418</td>\n",
       "      <td>23.785714</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>546</td>\n",
       "      <td>0.966372</td>\n",
       "      <td>33.360363</td>\n",
       "      <td>1.146796</td>\n",
       "      <td>20.898874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2</td>\n",
       "      <td>70</td>\n",
       "      <td>754.883598</td>\n",
       "      <td>18.366843</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>567</td>\n",
       "      <td>0.964286</td>\n",
       "      <td>34.526266</td>\n",
       "      <td>1.217135</td>\n",
       "      <td>20.961226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2</td>\n",
       "      <td>71</td>\n",
       "      <td>750.067010</td>\n",
       "      <td>14.957045</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>582</td>\n",
       "      <td>0.968386</td>\n",
       "      <td>34.883980</td>\n",
       "      <td>1.294181</td>\n",
       "      <td>21.304447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2</td>\n",
       "      <td>72</td>\n",
       "      <td>745.808013</td>\n",
       "      <td>9.717863</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>599</td>\n",
       "      <td>0.978758</td>\n",
       "      <td>35.333837</td>\n",
       "      <td>1.449251</td>\n",
       "      <td>21.653991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2</td>\n",
       "      <td>73</td>\n",
       "      <td>743.972710</td>\n",
       "      <td>7.939571</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>513</td>\n",
       "      <td>0.979008</td>\n",
       "      <td>34.218013</td>\n",
       "      <td>1.536776</td>\n",
       "      <td>19.395663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>2</td>\n",
       "      <td>74</td>\n",
       "      <td>742.395789</td>\n",
       "      <td>7.282105</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>475</td>\n",
       "      <td>0.975359</td>\n",
       "      <td>34.014890</td>\n",
       "      <td>1.541366</td>\n",
       "      <td>18.203041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>2</td>\n",
       "      <td>75</td>\n",
       "      <td>739.872068</td>\n",
       "      <td>7.183369</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>469</td>\n",
       "      <td>0.979123</td>\n",
       "      <td>33.862418</td>\n",
       "      <td>1.525440</td>\n",
       "      <td>18.150740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>2</td>\n",
       "      <td>76</td>\n",
       "      <td>738.931915</td>\n",
       "      <td>6.936170</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>470</td>\n",
       "      <td>0.963115</td>\n",
       "      <td>34.847328</td>\n",
       "      <td>1.552034</td>\n",
       "      <td>17.726796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2</td>\n",
       "      <td>77</td>\n",
       "      <td>737.158837</td>\n",
       "      <td>6.637584</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>447</td>\n",
       "      <td>0.973856</td>\n",
       "      <td>34.717261</td>\n",
       "      <td>1.564511</td>\n",
       "      <td>16.858694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>2</td>\n",
       "      <td>78</td>\n",
       "      <td>738.193182</td>\n",
       "      <td>6.550000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>440</td>\n",
       "      <td>0.967033</td>\n",
       "      <td>34.531699</td>\n",
       "      <td>1.563141</td>\n",
       "      <td>16.710833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>2</td>\n",
       "      <td>79</td>\n",
       "      <td>736.810268</td>\n",
       "      <td>6.571429</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>448</td>\n",
       "      <td>0.976035</td>\n",
       "      <td>35.079678</td>\n",
       "      <td>-1.535292</td>\n",
       "      <td>16.786729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>2</td>\n",
       "      <td>80</td>\n",
       "      <td>737.491272</td>\n",
       "      <td>5.980050</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>401</td>\n",
       "      <td>0.970944</td>\n",
       "      <td>33.877648</td>\n",
       "      <td>-1.530902</td>\n",
       "      <td>15.733381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>2</td>\n",
       "      <td>81</td>\n",
       "      <td>737.096916</td>\n",
       "      <td>6.433921</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>454</td>\n",
       "      <td>0.968017</td>\n",
       "      <td>36.725984</td>\n",
       "      <td>-1.499019</td>\n",
       "      <td>16.228667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>2</td>\n",
       "      <td>82</td>\n",
       "      <td>737.290618</td>\n",
       "      <td>6.194508</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>437</td>\n",
       "      <td>0.975446</td>\n",
       "      <td>35.963684</td>\n",
       "      <td>-1.547402</td>\n",
       "      <td>15.946061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>2</td>\n",
       "      <td>83</td>\n",
       "      <td>737.662371</td>\n",
       "      <td>5.260309</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>388</td>\n",
       "      <td>0.979798</td>\n",
       "      <td>36.840573</td>\n",
       "      <td>-1.550169</td>\n",
       "      <td>13.913879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>2</td>\n",
       "      <td>84</td>\n",
       "      <td>740.291855</td>\n",
       "      <td>5.907240</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>442</td>\n",
       "      <td>0.967177</td>\n",
       "      <td>37.804916</td>\n",
       "      <td>-1.566452</td>\n",
       "      <td>15.403561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>2</td>\n",
       "      <td>85</td>\n",
       "      <td>738.399093</td>\n",
       "      <td>5.943311</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>441</td>\n",
       "      <td>0.975664</td>\n",
       "      <td>37.317976</td>\n",
       "      <td>-1.561656</td>\n",
       "      <td>15.664210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>2</td>\n",
       "      <td>86</td>\n",
       "      <td>737.445521</td>\n",
       "      <td>5.493947</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>413</td>\n",
       "      <td>0.971765</td>\n",
       "      <td>37.826246</td>\n",
       "      <td>-1.558032</td>\n",
       "      <td>14.418299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>2</td>\n",
       "      <td>87</td>\n",
       "      <td>735.250000</td>\n",
       "      <td>5.054688</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>384</td>\n",
       "      <td>0.969697</td>\n",
       "      <td>37.710505</td>\n",
       "      <td>-1.550719</td>\n",
       "      <td>13.576756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>2</td>\n",
       "      <td>88</td>\n",
       "      <td>732.790909</td>\n",
       "      <td>4.215152</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>330</td>\n",
       "      <td>0.979228</td>\n",
       "      <td>38.135664</td>\n",
       "      <td>-1.531960</td>\n",
       "      <td>11.702917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>2</td>\n",
       "      <td>89</td>\n",
       "      <td>731.990164</td>\n",
       "      <td>3.868852</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>305</td>\n",
       "      <td>0.974441</td>\n",
       "      <td>37.955137</td>\n",
       "      <td>-1.550575</td>\n",
       "      <td>10.778075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>2</td>\n",
       "      <td>90</td>\n",
       "      <td>731.161654</td>\n",
       "      <td>3.353383</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>266</td>\n",
       "      <td>0.970803</td>\n",
       "      <td>37.471171</td>\n",
       "      <td>-1.542930</td>\n",
       "      <td>9.630333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>2</td>\n",
       "      <td>91</td>\n",
       "      <td>728.334416</td>\n",
       "      <td>4.048701</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>308</td>\n",
       "      <td>0.965517</td>\n",
       "      <td>37.199327</td>\n",
       "      <td>-1.514961</td>\n",
       "      <td>11.228139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>2</td>\n",
       "      <td>92</td>\n",
       "      <td>729.341818</td>\n",
       "      <td>3.538182</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>275</td>\n",
       "      <td>0.958188</td>\n",
       "      <td>37.000558</td>\n",
       "      <td>-1.546827</td>\n",
       "      <td>10.003114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>2</td>\n",
       "      <td>93</td>\n",
       "      <td>729.608527</td>\n",
       "      <td>3.620155</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>258</td>\n",
       "      <td>0.966292</td>\n",
       "      <td>33.921826</td>\n",
       "      <td>-1.533424</td>\n",
       "      <td>10.504647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>2</td>\n",
       "      <td>94</td>\n",
       "      <td>730.318841</td>\n",
       "      <td>2.971014</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>207</td>\n",
       "      <td>0.945205</td>\n",
       "      <td>32.303231</td>\n",
       "      <td>-1.543513</td>\n",
       "      <td>8.758787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>2</td>\n",
       "      <td>95</td>\n",
       "      <td>729.646465</td>\n",
       "      <td>2.818182</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>198</td>\n",
       "      <td>0.956522</td>\n",
       "      <td>32.277675</td>\n",
       "      <td>-1.542487</td>\n",
       "      <td>8.460650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>2</td>\n",
       "      <td>96</td>\n",
       "      <td>728.598540</td>\n",
       "      <td>2.058394</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>137</td>\n",
       "      <td>0.919463</td>\n",
       "      <td>29.550047</td>\n",
       "      <td>-1.523479</td>\n",
       "      <td>6.570294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>2</td>\n",
       "      <td>97</td>\n",
       "      <td>728.277108</td>\n",
       "      <td>1.144578</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>83</td>\n",
       "      <td>0.912088</td>\n",
       "      <td>28.080520</td>\n",
       "      <td>-1.540007</td>\n",
       "      <td>3.987129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>2</td>\n",
       "      <td>98</td>\n",
       "      <td>728.368421</td>\n",
       "      <td>0.754386</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>57</td>\n",
       "      <td>0.904762</td>\n",
       "      <td>25.156207</td>\n",
       "      <td>-1.547447</td>\n",
       "      <td>3.059674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2</td>\n",
       "      <td>99</td>\n",
       "      <td>724.375000</td>\n",
       "      <td>0.375000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>24</td>\n",
       "      <td>0.888889</td>\n",
       "      <td>15.181525</td>\n",
       "      <td>1.554258</td>\n",
       "      <td>1.920411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2</td>\n",
       "      <td>100</td>\n",
       "      <td>722.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>11</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>12.649111</td>\n",
       "      <td>1.570796</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
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       "       35.30664347, 35.59744997, 37.261919  , 35.67716894, 34.42412215,\n",
       "       32.37586357, 31.10612173, 28.33260353, 29.03386312, 30.37787764,\n",
       "       32.13093635, 34.12562804, 35.58392663, 36.53418333, 36.60697234,\n",
       "       36.7750534 , 36.25251177, 37.39385096, 37.60032378, 37.6171051 ,\n",
       "       37.75911766, 37.83311165, 36.21860508, 36.20342506, 34.92353572,\n",
       "       33.01007685, 33.02583078, 32.1840228 , 31.57750855, 32.36912836,\n",
       "       33.51553184, 33.31742969, 32.14716532, 33.39819954, 33.24667194,\n",
       "       31.86566721, 32.26939213, 33.4141839 , 33.74097984, 33.36036314,\n",
       "       34.52626596, 34.88397959, 35.333837  , 34.21801277, 34.01488992,\n",
       "       33.86241802, 34.84732782, 34.71726086, 34.53169896, 35.07967842,\n",
       "       33.87764775, 36.72598394, 35.9636843 , 36.84057343, 37.80491578,\n",
       "       37.31797621, 37.82624582, 37.71050502, 38.13566399, 37.95513685,\n",
       "       37.47117056, 37.19932675, 37.00055839, 33.92182634, 32.30323106,\n",
       "       32.27767466, 29.5500467 , 28.0805205 , 25.15620722, 15.18152463,\n",
       "       12.64911064])), ('orientation', array([ 1.53468187,  1.55740983,  1.53052267,  1.54363121, -1.4782668 ,\n",
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       "        1.57079633])), ('minor_axis_length', array([11.90876501, 11.04091283, 11.03705987, 12.13805167, 17.05477174,\n",
       "       18.40748064, 18.03122894, 17.68579824, 16.41217213, 21.98641557,\n",
       "       23.01103111, 21.20130848, 20.31920558, 19.64282427, 19.54582058,\n",
       "       19.97087365, 20.55279235, 23.05487175, 22.27328666, 21.55340594,\n",
       "       22.04490862, 22.6474346 , 22.62333262, 24.29366922, 26.36818145,\n",
       "       25.42272851, 23.1707128 , 23.11364458, 23.38168084, 23.82534838,\n",
       "       23.31100539, 24.25783176, 23.37308802, 23.34223294, 23.86645736,\n",
       "       22.12572101, 22.54324505, 24.06231519, 24.59196809, 26.38764869,\n",
       "       25.89424177, 25.04830594, 22.5035276 , 22.08346853, 21.27051722,\n",
       "       21.4138658 , 21.19163041, 21.50680221, 21.71300337, 21.97639858,\n",
       "       22.27673444, 22.19144109, 23.1225897 , 23.59588779, 24.71990914,\n",
       "       25.28722279, 25.49424853, 25.63899914, 24.82307738, 24.59435033,\n",
       "       25.69060614, 27.06934733, 27.32807265, 27.09840873, 25.12013199,\n",
       "       24.98553059, 23.32938542, 21.38258924, 21.44951734, 20.89887416,\n",
       "       20.9612257 , 21.30444676, 21.65399115, 19.39566349, 18.20304092,\n",
       "       18.15074035, 17.72679555, 16.85869373, 16.71083279, 16.78672902,\n",
       "       15.73338142, 16.22866663, 15.94606145, 13.91387945, 15.40356131,\n",
       "       15.6642098 , 14.4182989 , 13.5767556 , 11.70291663, 10.77807539,\n",
       "        9.6303326 , 11.22813928, 10.00311363, 10.50464737,  8.75878667,\n",
       "        8.46064969,  6.57029385,  3.98712936,  3.05967426,  1.92041051,\n",
       "        0.        ]))])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cell"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1c52013e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1600x1600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(16, 16))\n",
    "ax1.plot(cell.x, cell.y)\n",
    "ax2.plot(cell.t, cell.x)\n",
    "ax3.plot(cell.t, cell.y)\n",
    "ax4.plot(cell.t, cell[\"area\"])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8160cd0e",
   "metadata": {},
   "source": [
    "## Visualising the data with napari"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f544669",
   "metadata": {},
   "source": [
    "Finally, we an inspect the entire tracking output using *napari*:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6a87d830",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Tracks layer 'Tracks' at 0x1473ae710>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import napari\n",
    "\n",
    "viewer = napari.Viewer()\n",
    "\n",
    "viewer.add_image(\n",
    "    segmentation, \n",
    "    name=\"Segmentation\",\n",
    "    opacity=0.2,\n",
    ")\n",
    "\n",
    "# the track data from the tracker\n",
    "viewer.add_tracks(\n",
    "    data, \n",
    "    properties=properties, \n",
    "    graph=graph, \n",
    "    name=\"Tracks\", \n",
    "    blending=\"translucent\",\n",
    "    visible=True,\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "btrack",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}