{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![HELP-Logo](https://avatars1.githubusercontent.com/u/7880370?s=200&v=4)\n",
    "\n",
    "\n",
    "# DMU 24 - GAMA-15: Photo-z Selection Function\n",
    "\n",
    "The goal is to create a selection function for the photometric redshifts that varies spatially across the field. We will use the depth maps for the optical masterlist to find regions of the field that have similar photometric coverage and then calculate the fraction of sources meeting a given photo-z selection within those pixels.\n",
    "\n",
    "1. For optical depth maps: do clustering analysis to find HEALpix with similar photometric properties.\n",
    "2. Calculate selection function within those groups of similar regions as a function of magnitude in a given band.\n",
    "3. Paramatrise the selection function in such a way that it can be easily applied for a given sample of sources or region."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This notebook was executed on: \n",
      "2018-06-28 14:16:27.390897\n"
     ]
    }
   ],
   "source": [
    "import datetime\n",
    "print(\"This notebook was executed on: \\n{}\".format(datetime.datetime.now()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "#%config InlineBackend.figure_format = 'svg'\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rc('figure', figsize=(10, 6))\n",
    "\n",
    "import os\n",
    "import time\n",
    "\n",
    "from astropy import units as u\n",
    "from astropy.coordinates import SkyCoord\n",
    "from astropy.table import Column, Table, join\n",
    "import numpy as np\n",
    "import healpy as hp\n",
    "\n",
    "import warnings\n",
    "#We ignore warnings - this is a little dangerous but a huge number of warnings are generated by empty cells later\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "from astropy.io.votable import parse_single_table\n",
    "from astropy.io import fits\n",
    "from astropy.stats import binom_conf_interval\n",
    "from astropy.utils.console import ProgressBar\n",
    "from astropy.modeling.fitting import LevMarLSQFitter\n",
    "\n",
    "from sklearn.cluster import MiniBatchKMeans, MeanShift\n",
    "from collections import Counter\n",
    "\n",
    "from astropy.modeling import Fittable1DModel, Parameter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def coords_to_hpidx(ra, dec, order):\n",
    "    \"\"\"Convert coordinates to HEALPix indexes\n",
    "    Given to list of right ascension and declination, this function computes\n",
    "    the HEALPix index (in nested scheme) at each position, at the given order.\n",
    "    Parameters\n",
    "    ----------\n",
    "    ra: array or list of floats\n",
    "        The right ascensions of the sources.\n",
    "    dec: array or list of floats\n",
    "        The declinations of the sources.\n",
    "    order: int\n",
    "        HEALPix order.\n",
    "    Returns\n",
    "    -------\n",
    "    array of int\n",
    "        The HEALPix index at each position.\n",
    "    \"\"\"\n",
    "    ra, dec = np.array(ra), np.array(dec)\n",
    "\n",
    "    theta = 0.5 * np.pi - np.radians(dec)\n",
    "    phi = np.radians(ra)\n",
    "    healpix_idx = hp.ang2pix(2**order, theta, phi, nest=True)\n",
    "\n",
    "    return healpix_idx\n",
    "\n",
    "class GLF1D(Fittable1DModel):\n",
    "    \"\"\"\n",
    "    Generalised Logistic Function \n",
    "    \"\"\"\n",
    "    inputs = ('x',)\n",
    "    outputs = ('y',)\n",
    "\n",
    "    A = Parameter()\n",
    "    B = Parameter()\n",
    "    K = Parameter()\n",
    "    Q = Parameter()\n",
    "    nu = Parameter()\n",
    "    M = Parameter()\n",
    "    \n",
    "    @staticmethod\n",
    "    def evaluate(x, A, B, K, Q, nu, M):\n",
    "        top = K - A\n",
    "        bottom = (1 + Q*np.exp(-B*(x-M)))**(1/nu)\n",
    "        return A + (top/bottom)\n",
    "\n",
    "    @staticmethod\n",
    "    def fit_deriv(x, A, B, K, Q, nu, M):\n",
    "        d_A = 1 - (1 + (Q*np.exp(-B*(x-M)))**(-1/nu))\n",
    "        \n",
    "        d_B = ((K - A) * (x-M) * (Q*np.exp(-B*(x-M)))) / (nu * ((1 + Q*np.exp(-B*(x-M)))**((1/nu) + 1)))\n",
    "\n",
    "        d_K = 1 + (Q*np.exp(-B*(x-M)))**(-1/nu)\n",
    "        \n",
    "        d_Q = -((K - A) * (Q*np.exp(-B*(x-M)))) / (nu * ((1 + Q*np.exp(-B*(x-M)))**((1/nu) + 1)))\n",
    "        \n",
    "        d_nu = ((K-A) * np.log(1 + (Q*np.exp(-B*(x-M))))) / ((nu**2) * ((1 + Q*np.exp(-B*(x-M)))**((1/nu))))\n",
    "        \n",
    "        d_M = -((K - A) * (Q*B*np.exp(-B*(x-M)))) / (nu * ((1 + Q*np.exp(-B*(x-M)))**((1/nu) + 1)))\n",
    "\n",
    "        return [d_A, d_B, d_K, d_Q, d_nu, d_M]\n",
    "    \n",
    "class InverseGLF1D(Fittable1DModel):\n",
    "    \"\"\"\n",
    "    Generalised Logistic Function \n",
    "    \"\"\"\n",
    "    inputs = ('x',)\n",
    "    outputs = ('y',)\n",
    "\n",
    "    A = Parameter()\n",
    "    B = Parameter()\n",
    "    K = Parameter()\n",
    "    Q = Parameter()\n",
    "    nu = Parameter()\n",
    "    M = Parameter()\n",
    "    \n",
    "    @staticmethod\n",
    "    def evaluate(x, A, B, K, Q, nu, M):\n",
    "        return M - (1/B)*(np.log((((K - A)/(x -A))**nu - 1)/Q))\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 0 - Set relevant initial parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "FIELD = 'GAMA-15'\n",
    "ORDER = 10\n",
    "\n",
    "DEPTH_MAP = '../../dmu1/dmu1_ml_ELAIS-N1/data/depths_gama-15_20180213.fits'\n",
    "MASTERLIST = '../../dmu1/dmu1_ml_ELAIS-N1/data/master_catalogue_gama-15_20180119.fits'\n",
    "PHOTOZS = 'data/master_catalogue_gama-15_20180119_photoz_20180210_r_optimised.fits'\n",
    "\n",
    "\n",
    "OUT_DIR = 'data'\n",
    "SUFFIX = 'depths_20180213_photoz_20180210'\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## I - Find clustering of healpix in the depth maps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "depth_map = Table.read(DEPTH_MAP)\n",
    "\n",
    "# Get Healpix IDs\n",
    "hp_idx = depth_map['hp_idx_O_{0}'.format(ORDER)]\n",
    "\n",
    "# Calculate RA, Dec of depth map Healpix pixels for later plotting etc.\n",
    "dm_hp_ra, dm_hp_dec = hp.pix2ang(2**ORDER, hp_idx, nest=True, lonlat=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The depth map provides two measures of depth:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean_values = Table(depth_map.columns[2::2]) # Mean 1-sigma error within a cell\n",
    "p90_values = Table(depth_map.columns[3::2]) # 90th percentile of observed fluxes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the photo-z selection functions we will make use of the mean 1-sigma error as this can be used to accurately predict the completeness as a function of magnitude.\n",
    "\n",
    "We convert the mean 1-sigma uncertainty to a 3-sigma magnitude upper limit and convert to a useable array.\n",
    "When a given flux has no measurement in a healpix (and *ferr_mean* is therefore a *NaN*) we set the depth to some semi-arbitrary bright limit separate from the observed depths:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "dm_clustering = 23.9 - 2.5*np.log10(3*mean_values.to_pandas().as_matrix())\n",
    "dm_clustering[np.isnan(dm_clustering)] = 14\n",
    "dm_clustering[np.isinf(dm_clustering)] = 14\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To encourage the clustering to group nearby Healpix together, we also add the RA and Dec of the healpix to the inpux dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "dm_clustering = np.hstack([dm_clustering, np.array(dm_hp_ra.data, ndmin=2).T, np.array(dm_hp_dec.data, ndmin=2).T])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we find clusters within the depth maps using a simple k-means clustering. For the number of clusters we assume an initial guess on the order of the number of different input magnitdues (/depths) in the dataset. This produces good initial results but may need further tuning:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "NCLUSTERS = dm_clustering.shape[1]*2\n",
    "km = MiniBatchKMeans(n_clusters=NCLUSTERS)\n",
    "\n",
    "km.fit(dm_clustering)\n",
    "\n",
    "counts = Counter(km.labels_) # Quickly calculate sizes of the clusters for reference\n",
    "\n",
    "clusters = dict(zip(hp_idx.data, km.labels_))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below we illustrate the different clusters with each colour corresponding to a different group of similar sources (although the colours may not be unique to a single cluster of sources). You can see structures and patterns within the field, e.g. the outline of the HSC coverage."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd700e07358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Fig, Ax = plt.subplots(1,1,figsize=(8,8))\n",
    "Ax.scatter(dm_hp_ra, dm_hp_dec, c=km.labels_, cmap=plt.cm.tab20, s=6)\n",
    "\n",
    "Ax.set_xlabel('Right Ascension [deg]')\n",
    "Ax.set_ylabel('Declination [deg]')\n",
    "Ax.set_title('{0}'.format(FIELD))\n",
    "Fig.savefig('plots/dmu24_{0}_sf_hpclusters_illustration.png'.format(FIELD), \n",
    "            format='png', bbox_inches='tight', dpi=150)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## II - Map photo-z and masterlist objects to their corresponding depth cluster\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now load the photometric redshift catalog and keep only the key columns for this selection function.\n",
    "Note: if using a different photo-$z$ measure than the HELP standard `z1_median`, the relevant columns should be retained instead."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "photoz_catalogue = Table.read(PHOTOZS)\n",
    "\n",
    "photoz_catalogue.keep_columns(['help_id', 'RA', 'DEC', 'id', 'z1_median', 'z1_min', 'z1_max', 'z1_area'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we load the relevant sections of the masterlist catalog (including the magnitude columns) and map the Healpix values to their corresponding cluster. For each of the masterlist/photo-$z$ sources and their corresponding healpix we find the respective cluster."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "masterlist_hdu = fits.open(MASTERLIST, memmap=True)\n",
    "masterlist = masterlist_hdu[1]\n",
    "\n",
    "masterlist_catalogue = Table()\n",
    "masterlist_catalogue['help_id'] = masterlist.data['help_id']\n",
    "masterlist_catalogue['RA'] = masterlist.data['ra']\n",
    "masterlist_catalogue['DEC'] = masterlist.data['dec']\n",
    "\n",
    "for column in masterlist.columns.names:\n",
    "    if (column.startswith('m_') or column.startswith('merr_')):\n",
    "        masterlist_catalogue[column] = masterlist.data[column]\n",
    "\n",
    "masterlist_hpx = coords_to_hpidx(masterlist_catalogue['RA'], masterlist_catalogue['DEC'], ORDER)\n",
    "masterlist_catalogue[\"hp_idx_O_{:d}\".format(ORDER)] = masterlist_hpx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "masterlist_cl_no = np.array([clusters[hpx] for hpx in masterlist_hpx])\n",
    "masterlist_catalogue['hp_depth_cluster'] = masterlist_cl_no"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged = join(masterlist_catalogue, photoz_catalogue, join_type='left', keys=['help_id', 'RA', 'DEC'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Constructing the output selection function table:\n",
    "\n",
    "The photo-$z$ selection function will be saved in a table that mirrors the format of the input optical depth maps, with matching length."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "pz_depth_map = Table()\n",
    "pz_depth_map.add_column(depth_map['hp_idx_O_13'])\n",
    "pz_depth_map.add_column(depth_map['hp_idx_O_10'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## III - Creating the binary photo-z selection function\n",
    "\n",
    "With the sources now easily grouped into regions of similar photometric properties, we can calculate the photo-$z$ selection function within each cluster of pixels. To begin with we want to create the most basic set of photo-$z$ selection functions - a map of the fraction of sources in the masterlist in a given region that have a photo-$z$ estimate. We will then create more informative selection function maps that make use of the added information from clustering."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "108"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NCLUSTERS # Fixed during the clustering stage above"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 In cluster: 36639  With photo-z: 27890     Fraction: 0.761 \n",
      "1 In cluster: 73308  With photo-z: 62396     Fraction: 0.851 \n",
      "2 In cluster: 11712  With photo-z: 0         Fraction: 0.000 \n",
      "3 In cluster: 3516   With photo-z: 617       Fraction: 0.175 \n",
      "4 In cluster: 24349  With photo-z: 0         Fraction: 0.000 \n",
      "5 In cluster: 788    With photo-z: 0         Fraction: 0.000 \n",
      "6 In cluster: 7483   With photo-z: 0         Fraction: 0.000 \n",
      "7 In cluster: 10412  With photo-z: 8132      Fraction: 0.781 \n",
      "8 In cluster: 6259   With photo-z: 1329      Fraction: 0.212 \n",
      "9 In cluster: 144425 With photo-z: 120226    Fraction: 0.832 \n",
      "10 In cluster: 8906   With photo-z: 0         Fraction: 0.000 \n",
      "11 In cluster: 75776  With photo-z: 64177     Fraction: 0.847 \n",
      "12 In cluster: 3938   With photo-z: 536       Fraction: 0.136 \n",
      "13 In cluster: 19211  With photo-z: 2403      Fraction: 0.125 \n",
      "14 In cluster: 9100   With photo-z: 0         Fraction: 0.000 \n",
      "15 In cluster: 14031  With photo-z: 1970      Fraction: 0.140 \n",
      "16 In cluster: 197362 With photo-z: 163733    Fraction: 0.830 \n",
      "17 In cluster: 22550  With photo-z: 3660      Fraction: 0.162 \n",
      "18 In cluster: 5192   With photo-z: 1199      Fraction: 0.231 \n",
      "19 In cluster: 9154   With photo-z: 4221      Fraction: 0.461 \n",
      "20 In cluster: 3055   With photo-z: 0         Fraction: 0.000 \n",
      "21 In cluster: 10956  With photo-z: 9695      Fraction: 0.885 \n",
      "22 In cluster: 20695  With photo-z: 0         Fraction: 0.000 \n",
      "23 In cluster: 24369  With photo-z: 0         Fraction: 0.000 \n",
      "24 In cluster: 17799  With photo-z: 11404     Fraction: 0.641 \n",
      "25 In cluster: 143484 With photo-z: 123379    Fraction: 0.860 \n",
      "26 In cluster: 5722   With photo-z: 508       Fraction: 0.089 \n",
      "27 In cluster: 62512  With photo-z: 16555     Fraction: 0.265 \n",
      "28 In cluster: 22707  With photo-z: 0         Fraction: 0.000 \n",
      "29 In cluster: 26305  With photo-z: 17900     Fraction: 0.680 \n",
      "30 In cluster: 76185  With photo-z: 62704     Fraction: 0.823 \n",
      "31 In cluster: 13072  With photo-z: 0         Fraction: 0.000 \n",
      "32 In cluster: 24885  With photo-z: 18954     Fraction: 0.762 \n",
      "33 In cluster: 3268   With photo-z: 357       Fraction: 0.109 \n",
      "34 In cluster: 58901  With photo-z: 47766     Fraction: 0.811 \n",
      "35 In cluster: 22941  With photo-z: 3797      Fraction: 0.166 \n",
      "36 In cluster: 13487  With photo-z: 4992      Fraction: 0.370 \n",
      "37 In cluster: 26499  With photo-z: 19910     Fraction: 0.751 \n",
      "38 In cluster: 106429 With photo-z: 93259     Fraction: 0.876 \n",
      "39 In cluster: 22288  With photo-z: 18058     Fraction: 0.810 \n",
      "40 In cluster: 14442  With photo-z: 11900     Fraction: 0.824 \n",
      "41 In cluster: 83     With photo-z: 0         Fraction: 0.000 \n",
      "42 In cluster: 10647  With photo-z: 3274      Fraction: 0.308 \n",
      "43 In cluster: 9587   With photo-z: 7208      Fraction: 0.752 \n",
      "44 In cluster: 2302   With photo-z: 313       Fraction: 0.136 \n",
      "45 In cluster: 179522 With photo-z: 151649    Fraction: 0.845 \n",
      "46 In cluster: 2457   With photo-z: 0         Fraction: 0.000 \n",
      "47 In cluster: 48713  With photo-z: 38785     Fraction: 0.796 \n",
      "48 In cluster: 64147  With photo-z: 37763     Fraction: 0.589 \n",
      "49 In cluster: 2529   With photo-z: 0         Fraction: 0.000 \n",
      "50 In cluster: 97581  With photo-z: 83223     Fraction: 0.853 \n",
      "51 In cluster: 27206  With photo-z: 18568     Fraction: 0.682 \n",
      "52 In cluster: 14434  With photo-z: 0         Fraction: 0.000 \n",
      "53 In cluster: 17387  With photo-z: 11757     Fraction: 0.676 \n",
      "54 In cluster: 4679   With photo-z: 0         Fraction: 0.000 \n",
      "55 In cluster: 4      With photo-z: 0         Fraction: 0.000 \n",
      "56 In cluster: 7165   With photo-z: 594       Fraction: 0.083 \n",
      "57 In cluster: 91511  With photo-z: 76077     Fraction: 0.831 \n",
      "58 In cluster: 62117  With photo-z: 51790     Fraction: 0.834 \n",
      "59 In cluster: 3681   With photo-z: 1         Fraction: 0.000 \n",
      "60 In cluster: 16768  With photo-z: 0         Fraction: 0.000 \n",
      "61 In cluster: 3643   With photo-z: 1086      Fraction: 0.298 \n",
      "62 In cluster: 13100  With photo-z: 9950      Fraction: 0.760 \n",
      "63 In cluster: 41989  With photo-z: 33546     Fraction: 0.799 \n",
      "64 In cluster: 778    With photo-z: 46        Fraction: 0.059 \n",
      "65 In cluster: 8703   With photo-z: 5725      Fraction: 0.658 \n",
      "66 In cluster: 24603  With photo-z: 5479      Fraction: 0.223 \n",
      "67 In cluster: 47402  With photo-z: 37418     Fraction: 0.789 \n",
      "68 In cluster: 7135   With photo-z: 3945      Fraction: 0.553 \n",
      "69 In cluster: 110226 With photo-z: 92204     Fraction: 0.836 \n",
      "70 In cluster: 111429 With photo-z: 91098     Fraction: 0.818 \n",
      "71 In cluster: 4193   With photo-z: 586       Fraction: 0.140 \n",
      "72 In cluster: 8734   With photo-z: 6874      Fraction: 0.787 \n",
      "73 In cluster: 90079  With photo-z: 77610     Fraction: 0.862 \n",
      "74 In cluster: 3837   With photo-z: 877       Fraction: 0.229 \n",
      "75 In cluster: 40430  With photo-z: 9773      Fraction: 0.242 \n",
      "76 In cluster: 124829 With photo-z: 107456    Fraction: 0.861 \n",
      "77 In cluster: 2389   With photo-z: 465       Fraction: 0.195 \n",
      "78 In cluster: 3033   With photo-z: 0         Fraction: 0.000 \n",
      "79 In cluster: 2762   With photo-z: 0         Fraction: 0.000 \n",
      "80 In cluster: 34715  With photo-z: 21187     Fraction: 0.610 \n",
      "81 In cluster: 8138   With photo-z: 0         Fraction: 0.000 \n",
      "82 In cluster: 41536  With photo-z: 29055     Fraction: 0.700 \n",
      "83 In cluster: 39740  With photo-z: 8386      Fraction: 0.211 \n",
      "84 In cluster: 46551  With photo-z: 15154     Fraction: 0.326 \n",
      "85 In cluster: 12851  With photo-z: 1797      Fraction: 0.140 \n",
      "86 In cluster: 20080  With photo-z: 0         Fraction: 0.000 \n",
      "87 In cluster: 8064   With photo-z: 0         Fraction: 0.000 \n",
      "88 In cluster: 51082  With photo-z: 34000     Fraction: 0.666 \n",
      "89 In cluster: 120382 With photo-z: 95355     Fraction: 0.792 \n",
      "90 In cluster: 17146  With photo-z: 2820      Fraction: 0.164 \n",
      "91 In cluster: 54944  With photo-z: 28513     Fraction: 0.519 \n",
      "92 In cluster: 25452  With photo-z: 5486      Fraction: 0.216 \n",
      "93 In cluster: 16068  With photo-z: 9         Fraction: 0.001 \n",
      "94 In cluster: 19124  With photo-z: 3556      Fraction: 0.186 \n",
      "95 In cluster: 28935  With photo-z: 6203      Fraction: 0.214 \n",
      "96 In cluster: 37997  With photo-z: 29598     Fraction: 0.779 \n",
      "97 In cluster: 79267  With photo-z: 63755     Fraction: 0.804 \n",
      "98 In cluster: 10168  With photo-z: 2103      Fraction: 0.207 \n",
      "99 In cluster: 40401  With photo-z: 24022     Fraction: 0.595 \n",
      "100 In cluster: 11889  With photo-z: 0         Fraction: 0.000 \n",
      "101 In cluster: 116009 With photo-z: 98692     Fraction: 0.851 \n",
      "102 In cluster: 25608  With photo-z: 0         Fraction: 0.000 \n",
      "103 In cluster: 157284 With photo-z: 131496    Fraction: 0.836 \n",
      "104 In cluster: 136476 With photo-z: 111219    Fraction: 0.815 \n",
      "105 In cluster: 47724  With photo-z: 37344     Fraction: 0.782 \n",
      "106 In cluster: 9628   With photo-z: 7463      Fraction: 0.775 \n",
      "107 In cluster: 93107  With photo-z: 68706     Fraction: 0.738 \n"
     ]
    }
   ],
   "source": [
    "cluster_photoz_fraction = np.ones(NCLUSTERS)\n",
    "\n",
    "pz_frac_cat = np.zeros(len(merged))\n",
    "pz_frac_map = np.zeros(len(dm_hp_ra))\n",
    "\n",
    "for ic, cluster in enumerate(np.arange(NCLUSTERS)):\n",
    "    ml_sources = (merged['hp_depth_cluster'] == cluster)\n",
    "    has_photoz = (merged['z1_median'] > -90.)\n",
    "    \n",
    "    in_ml = np.float(ml_sources.sum())\n",
    "    withz = np.float((ml_sources*has_photoz).sum())\n",
    "    \n",
    "    if in_ml > 0:\n",
    "        frac = withz / in_ml \n",
    "    else:\n",
    "        frac = 0.\n",
    "    \n",
    "    cluster_photoz_fraction[ic] = frac\n",
    "    print(\"\"\"{0} In cluster: {1:<6.0f} With photo-z: {2:<6.0f}\\\n",
    "    Fraction: {3:<6.3f}\"\"\".format(cluster, in_ml, withz, frac))\n",
    "    \n",
    "    # Map fraction to catalog positions for reference\n",
    "    where_cat = (merged['hp_depth_cluster'] == cluster)\n",
    "    pz_frac_cat[where_cat] = frac\n",
    "    \n",
    "    # Map fraction back to depth map healpix \n",
    "    where_map = (km.labels_ == cluster)\n",
    "    pz_frac_map[where_map] = frac"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The binary photo-$z$ selection function of the field"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd700dce4e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Fig, Ax = plt.subplots(1,1,figsize=(9.5,8))\n",
    "Sc = Ax.scatter(dm_hp_ra, dm_hp_dec, c=pz_frac_map, cmap=plt.cm.viridis, s=6, vmin=0, vmax=1)\n",
    "\n",
    "Ax.set_xlabel('Right Ascension [deg]')\n",
    "Ax.set_ylabel('Declination [deg]')\n",
    "Ax.set_title('{0}'.format(FIELD))\n",
    "CB = Fig.colorbar(Sc)\n",
    "CB.set_label('Fraction with photo-z estimate')\n",
    "Fig.savefig('plots/dmu24_{0}_sf_binary_map.png'.format(FIELD), \n",
    "            format='png', bbox_inches='tight', dpi=150)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add the binary photo-$z$ selection function to output catalog"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "pz_depth_map.add_column(Column(name='pz_fraction', data=pz_frac_map))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## IV - Magnitude dependent photo-z selection functions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The binary selection function gives a broad illustration of where photo-$z$s are available in the field (given the availability of optical datasets etc.). However, the fraction of sources that have an estimate available will depend on the brightness of a given source in the bands used for photo-$z$s.\n",
    "Furthermore, the quality of those photo-$z$ is also highly dependent on the depth, wavelength coverage and sampling of the optical data in that region.\n",
    "\n",
    "To calculate the likelihood of a given source having a photo-$z$ that passes the defined quality selection or be able to select samples of homogeneous photo-$z$ quality, we therefore need to estimate the magnitude (and spatially) dependent selection function."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Defining the photo-$z$ quality criteria\n",
    "\n",
    "A key stage in the photo-$z$ estimation methodology is the explicit calibration of the redshift posteriors as a function of magnitude. The benefit of this approach is that by making a cut based on the width of redshift posterior, $P(z)$, we can select sources with a desired estimated redshift precision.\n",
    "Making this cut based on the full $P(z)$ is impractical. However the main photo-$z$ catalog contains information about the width of the primary and secondary peaks above the 80% highest probability density (HPD) credible interval, we can use this information to determine our redshift quality criteria."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Parse columns to select the available magnitudes within the masterlist:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "52 magnitude columns present in the masterlist.\n"
     ]
    }
   ],
   "source": [
    "filters = [col for col in merged.colnames if col.startswith('m_')]\n",
    "print('{0} magnitude columns present in the masterlist.'.format(len(filters)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaled_photoz_error = (0.5*(merged['z1_max']- merged['z1_min'])) / (1 + merged['z1_median'])\n",
    "\n",
    "photoz_quality_cut = (scaled_photoz_error < 0.2)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To calculate the magnitude dependent selection function in a given masterlist filter, for each of the Healpix clusters we do the following:\n",
    "1. Find the number of masterlist sources within that cluster that have a measurement in the corresponding filter. (If this is zero - see stage 3B)\n",
    "2. Calculate the fraction of sources at that magnitude that haThis relation typically follows a form of a sigmoid function the declines towards fainter magnitudes - however depending on the selection being applied it may not start at 1. Similarly, the rate of decline and the turnover point depends on the depth of the optical selection properties of that cluster.\n",
    "3. \n",
    "    1. Fit the magnitude dependence using the generalised logistic function (GLF, or Richards' function). Provided with conservative boundary conditions and plausible starting conditions based on easily estimated properties (i.e. the typical magnitude in the cluster and the maximum point), this function is able to describe well almost the full range of measured selection functions.\n",
    "    2. If no masterlist sources in the cluster have an observation in the filter - all parameters set to zero (with the GLF then returning zero for all magnitudes).\n",
    "4. Map the parameters estimated for a given healpix cluster back to the healpix belonging to that cluster."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "m_ap_wfc_u\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "464a26be785a422e8fc7224cbebb10e7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "FloatProgress(value=0.0)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "m_wfc_u\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "94412fbb214b4991b49847eade7e7d78",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "FloatProgress(value=0.0)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "m_ap_wfc_g\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "71b03a11d53d43f69a62537d099c1a2c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "FloatProgress(value=0.0)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "m_wfc_g\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4949624e5abe4036bb8aeda196f72fb3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "FloatProgress(value=0.0)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "m_ap_wfc_r\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e0b4aba320a44d4fb07a6db7b2103959",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "FloatProgress(value=0.0)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "m_wfc_r\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ba460e34e9e242afbb78b25d59c9311e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "FloatProgress(value=0.0)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "m_ap_wfc_i\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0ed49f1e899242129d432a8e0c594210",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "FloatProgress(value=0.0)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "m_wfc_i\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a765b9ee3beb4a0c876c2b554ec0add9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "FloatProgress(value=0.0)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "m_ap_wfc_z\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d43934bec3b8417a9cb152c7036a7964",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "FloatProgress(value=0.0)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "m_wfc_z\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d965f79351d041f68661fe75c2d3f838",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "FloatProgress(value=0.0)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "m_ap_cfht_megacam_u\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f427de6cd80b42209fb504ba7618b705",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "FloatProgress(value=0.0)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "m_cfht_megacam_u\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ce7ce1813cdd45abb70fd1f55023678b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "FloatProgress(value=0.0)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "m_ap_cfht_megacam_g\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c1fdfb1124904dd08199fa9eb7f1682e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "FloatProgress(value=0.0)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for photometry_band in filters:\n",
    "    print(photometry_band)\n",
    "    \n",
    "    pz_frac_cat = np.zeros(len(merged))\n",
    "    pz_M_map = np.zeros((len(dm_hp_ra),6))\n",
    "\n",
    "    m001, m999 = np.nanpercentile(merged[photometry_band], [0.1, 99.9])\n",
    "\n",
    "    counts, binedges = np.histogram(merged[photometry_band], \n",
    "                                    range=(np.minimum(m001, 17.), np.minimum(m999, 29.)),\n",
    "                                   bins=10)\n",
    "\n",
    "    binmids = 0.5*(binedges[:-1] + binedges[1:])\n",
    "\n",
    "\n",
    "    with ProgressBar(NCLUSTERS, ipython_widget=True) as bar:\n",
    "        for ic, cluster in enumerate(np.arange(NCLUSTERS)[:]):\n",
    "            ml_sources = (merged['hp_depth_cluster'] == cluster)\n",
    "            has_photoz = (merged['z1_median'] > -90.) * photoz_quality_cut\n",
    "            has_mag = (merged[photometry_band] > -90.)\n",
    "\n",
    "            in_ml = np.float(ml_sources.sum())\n",
    "            withz = (has_photoz)\n",
    "\n",
    "            frac = []\n",
    "            frac_upper = []\n",
    "            frac_lower = []\n",
    "\n",
    "            iqr25_mag = (np.nanpercentile(merged[photometry_band][ml_sources*has_photoz], 25))\n",
    "\n",
    "            if (ml_sources*has_photoz*has_mag).sum() > 1:\n",
    "                for i in np.arange(len(binedges[:-1])):\n",
    "                    mag_cut = np.logical_and(merged[photometry_band] >= binedges[i],\n",
    "                                             merged[photometry_band] < binedges[i+1])\n",
    "\n",
    "                    if (ml_sources * mag_cut).sum() > 0:\n",
    "                        pass_cut = np.sum(ml_sources * withz * mag_cut)\n",
    "                        total_cut = np.sum(ml_sources * mag_cut)\n",
    "                        frac.append(np.float(pass_cut) / total_cut)\n",
    "\n",
    "                        lower, upper = binom_conf_interval(pass_cut, total_cut)\n",
    "                        frac_lower.append(lower)\n",
    "                        frac_upper.append(upper)\n",
    "\n",
    "                    else:\n",
    "                        frac.append(0.)\n",
    "                        frac_lower.append(0.)\n",
    "                        frac_upper.append(1.)\n",
    "\n",
    "                frac = np.array(frac)\n",
    "                frac_upper = np.array(frac_upper)\n",
    "                frac_lower = np.array(frac_lower)\n",
    "\n",
    "\n",
    "                model = GLF1D(A=np.median(frac[:5]), K=0., B=0.9, Q=1., nu=0.4, M=iqr25_mag, \n",
    "                              bounds={'A': (0,1), 'K': (0,1), 'B': (0., 5.),\n",
    "                                      'M': (np.minimum(m001, 17.), np.minimum(m999, 29.)),\n",
    "                                      'Q': (0., 10.),\n",
    "                                      'nu': (0, None)})\n",
    "\n",
    "                fit = LevMarLSQFitter()\n",
    "                m = fit(model, x=binmids, y=frac, maxiter=1000,\n",
    "                        weights=1/(0.5*((frac_upper-frac) + (frac-frac_lower))), \n",
    "                        estimate_jacobian=False)\n",
    "                parameters = np.copy(m.parameters)\n",
    "\n",
    "            else:\n",
    "                frac = np.zeros(len(binmids))\n",
    "                frac_upper = np.zeros(len(binmids))\n",
    "                frac_lower = np.zeros(len(binmids))\n",
    "\n",
    "                parameters = np.zeros(6)\n",
    "                \n",
    "            # Map parameters to cluster\n",
    "\n",
    "            # Map parameters back to depth map healpix \n",
    "            where_map = (km.labels_ == cluster)\n",
    "            pz_M_map[where_map] = parameters\n",
    "\n",
    "            bar.update()\n",
    "            \n",
    "        c = Column(data=pz_M_map, name='pz_glf_{0}'.format(photometry_band), shape=(1,6))\n",
    "        try:\n",
    "            pz_depth_map.add_column(c)\n",
    "        except:\n",
    "            pz_depth_map.replace_column('pz_glf_{0}'.format(photometry_band), c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The selection function catalog consists of a set of parameters for the generalised logistic function (GLF, or Richards' function) that can be used to calculate the fraction of masterlist sources that have a photo-$z$ estimate satisfying the quality cut as a function of a given magnitude. e.g.\n",
    "\n",
    "$S = \\rm{GLF}(M_{f}, \\textbf{P}_{\\rm{Healpix}})$,\n",
    "\n",
    "where $S$ is the success fraction for a given magnitude $M_{f}$ in a given filter, $f$, and $\\textbf{P}_{\\rm{Healpix}}$ corresponds to the set of 6 parameters fit for that healpix.\n",
    "\n",
    "\n",
    "In practical terms, using the GLF function defined in this notebook this would be `S = GLF1D(*P)(M)`. Similarly, to estimate the magnitude corresponding to a desired photo-$z$ completeness one can use the same parameters and the corresponding inverse function: `M = InverseGLF1D(*P)(S)`.\n",
    "\n",
    "### Save the photo-$z$ selection function catalog:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "pz_depth_map.write('{0}/photo-z_selection_{1}_{2}.fits'.format(OUT_DIR, FIELD, SUFFIX).lower(), format='fits', overwrite=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table masked=True length=1204479</i>\n",
       "<table id=\"table140561495573728\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>hp_idx_O_13</th><th>hp_idx_O_10</th><th>pz_fraction</th><th>pz_glf_m_ap_decam_g [6]</th><th>pz_glf_m_decam_g [6]</th><th>pz_glf_m_ap_decam_r [6]</th><th>pz_glf_m_decam_r [6]</th><th>pz_glf_m_ap_decam_z [6]</th><th>pz_glf_m_decam_z [6]</th><th>pz_glf_m_ap_suprime_g [6]</th><th>pz_glf_m_suprime_g [6]</th><th>pz_glf_m_ap_suprime_r [6]</th><th>pz_glf_m_suprime_r [6]</th><th>pz_glf_m_ap_suprime_i [6]</th><th>pz_glf_m_suprime_i [6]</th><th>pz_glf_m_ap_suprime_z [6]</th><th>pz_glf_m_suprime_z [6]</th><th>pz_glf_m_ap_suprime_y [6]</th><th>pz_glf_m_suprime_y [6]</th><th>pz_glf_m_ap_kids_u [6]</th><th>pz_glf_m_kids_u [6]</th><th>pz_glf_m_ap_kids_g [6]</th><th>pz_glf_m_kids_g [6]</th><th>pz_glf_m_ap_kids_r [6]</th><th>pz_glf_m_kids_r [6]</th><th>pz_glf_m_ap_kids_i [6]</th><th>pz_glf_m_kids_i [6]</th><th>pz_glf_m_ap_gpc1_g [6]</th><th>pz_glf_m_gpc1_g [6]</th><th>pz_glf_m_ap_gpc1_r [6]</th><th>pz_glf_m_gpc1_r [6]</th><th>pz_glf_m_ap_gpc1_i [6]</th><th>pz_glf_m_gpc1_i [6]</th><th>pz_glf_m_ap_gpc1_z [6]</th><th>pz_glf_m_gpc1_z [6]</th><th>pz_glf_m_ap_gpc1_y [6]</th><th>pz_glf_m_gpc1_y [6]</th><th>pz_glf_m_ap_ukidss_y [6]</th><th>pz_glf_m_ukidss_y [6]</th><th>pz_glf_m_ap_ukidss_j [6]</th><th>pz_glf_m_ukidss_j [6]</th><th>pz_glf_m_ap_ukidss_h [6]</th><th>pz_glf_m_ukidss_h [6]</th><th>pz_glf_m_ap_ukidss_k [6]</th><th>pz_glf_m_ukidss_k [6]</th><th>pz_glf_m_ap_vircam_z [6]</th><th>pz_glf_m_vircam_z [6]</th><th>pz_glf_m_ap_vircam_y [6]</th><th>pz_glf_m_vircam_y [6]</th><th>pz_glf_m_ap_vircam_j [6]</th><th>pz_glf_m_vircam_j [6]</th><th>pz_glf_m_ap_vircam_h [6]</th><th>pz_glf_m_vircam_h [6]</th><th>pz_glf_m_ap_vircam_k [6]</th><th>pz_glf_m_vircam_k [6]</th></tr></thead>\n",
       "<thead><tr><th>int64</th><th>int64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th></tr></thead>\n",
       "<tr><td>134226592</td><td>2097290</td><td>0.5743871992737176</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9339289819762494 .. 21.337671983533472</td><td>0.7787056354976795 .. 21.4384457483636</td><td>0.8727735362557393 .. 21.210250604184257</td><td>0.7042303504831787 .. 20.249513009180113</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7259504356911959 .. 23.113059982591192</td><td>0.738018431314462 .. 22.961635216719888</td><td>0.8692301934292631 .. 22.996603661300036</td><td>0.8719674052155912 .. 22.370496462172234</td><td>0.9394259817919929 .. 22.72590353646029</td><td>0.9371428185830942 .. 22.081642342521302</td><td>0.8799999982399797 .. 21.458912508291696</td><td>0.87716955941255 .. 21.395151138305664</td><td>0.7310289029403024 .. 12.769855239868164</td><td>0.8395764657796739 .. 12.85369471168518</td><td>0.842253481344436 .. 12.557538803100586</td><td>0.9020210068419723 .. 12.734908607482911</td><td>0.8601105266959064 .. 12.574199676513672</td><td>0.8831302645949113 .. 12.790310783386232</td><td>0.7166634520626533 .. 20.13097596019931</td><td>0.8003479708491074 .. 12.453978351593019</td><td>0.7272663065043814 .. 20.455610957704334</td><td>0.7045414308416885 .. 19.30608567006994</td><td>0.49024778504441874 .. 18.25526274065573</td><td>0.620967467711837 .. 11.398850217819215</td><td>0.6391415407913354 .. 21.98699423789983</td><td>0.6421942364161295 .. 22.423699905395566</td><td>0.6356201044784004 .. 18.034997429262372</td><td>0.6216114616911508 .. 11.124394874572754</td><td>0.4847437528641889 .. 12.192184416770935</td><td>0.5282613909819819 .. 17.767122807246402</td><td>0.5581144814430542 .. 21.54606495619572</td><td>0.8506102155152666 .. 22.126132792213653</td><td>0.7571697391258237 .. 12.581726676940917</td><td>0.6862556554165565 .. 20.675450859714687</td><td>0.7602866485168458 .. 13.232743530273439</td><td>0.7657390830542711 .. 12.650300128936767</td><td>0.76212726541661 .. 13.343647583007812</td><td>0.7425231324492677 .. 12.76011256313324</td><td>0.7169473447501286 .. 13.292374832153321</td><td>0.7267188641730218 .. 12.818294348716737</td></tr>\n",
       "<tr><td>134226602</td><td>2097290</td><td>0.5743871992737176</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9339289819762494 .. 21.337671983533472</td><td>0.7787056354976795 .. 21.4384457483636</td><td>0.8727735362557393 .. 21.210250604184257</td><td>0.7042303504831787 .. 20.249513009180113</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7259504356911959 .. 23.113059982591192</td><td>0.738018431314462 .. 22.961635216719888</td><td>0.8692301934292631 .. 22.996603661300036</td><td>0.8719674052155912 .. 22.370496462172234</td><td>0.9394259817919929 .. 22.72590353646029</td><td>0.9371428185830942 .. 22.081642342521302</td><td>0.8799999982399797 .. 21.458912508291696</td><td>0.87716955941255 .. 21.395151138305664</td><td>0.7310289029403024 .. 12.769855239868164</td><td>0.8395764657796739 .. 12.85369471168518</td><td>0.842253481344436 .. 12.557538803100586</td><td>0.9020210068419723 .. 12.734908607482911</td><td>0.8601105266959064 .. 12.574199676513672</td><td>0.8831302645949113 .. 12.790310783386232</td><td>0.7166634520626533 .. 20.13097596019931</td><td>0.8003479708491074 .. 12.453978351593019</td><td>0.7272663065043814 .. 20.455610957704334</td><td>0.7045414308416885 .. 19.30608567006994</td><td>0.49024778504441874 .. 18.25526274065573</td><td>0.620967467711837 .. 11.398850217819215</td><td>0.6391415407913354 .. 21.98699423789983</td><td>0.6421942364161295 .. 22.423699905395566</td><td>0.6356201044784004 .. 18.034997429262372</td><td>0.6216114616911508 .. 11.124394874572754</td><td>0.4847437528641889 .. 12.192184416770935</td><td>0.5282613909819819 .. 17.767122807246402</td><td>0.5581144814430542 .. 21.54606495619572</td><td>0.8506102155152666 .. 22.126132792213653</td><td>0.7571697391258237 .. 12.581726676940917</td><td>0.6862556554165565 .. 20.675450859714687</td><td>0.7602866485168458 .. 13.232743530273439</td><td>0.7657390830542711 .. 12.650300128936767</td><td>0.76212726541661 .. 13.343647583007812</td><td>0.7425231324492677 .. 12.76011256313324</td><td>0.7169473447501286 .. 13.292374832153321</td><td>0.7267188641730218 .. 12.818294348716737</td></tr>\n",
       "<tr><td>134226603</td><td>2097290</td><td>0.5743871992737176</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9339289819762494 .. 21.337671983533472</td><td>0.7787056354976795 .. 21.4384457483636</td><td>0.8727735362557393 .. 21.210250604184257</td><td>0.7042303504831787 .. 20.249513009180113</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7259504356911959 .. 23.113059982591192</td><td>0.738018431314462 .. 22.961635216719888</td><td>0.8692301934292631 .. 22.996603661300036</td><td>0.8719674052155912 .. 22.370496462172234</td><td>0.9394259817919929 .. 22.72590353646029</td><td>0.9371428185830942 .. 22.081642342521302</td><td>0.8799999982399797 .. 21.458912508291696</td><td>0.87716955941255 .. 21.395151138305664</td><td>0.7310289029403024 .. 12.769855239868164</td><td>0.8395764657796739 .. 12.85369471168518</td><td>0.842253481344436 .. 12.557538803100586</td><td>0.9020210068419723 .. 12.734908607482911</td><td>0.8601105266959064 .. 12.574199676513672</td><td>0.8831302645949113 .. 12.790310783386232</td><td>0.7166634520626533 .. 20.13097596019931</td><td>0.8003479708491074 .. 12.453978351593019</td><td>0.7272663065043814 .. 20.455610957704334</td><td>0.7045414308416885 .. 19.30608567006994</td><td>0.49024778504441874 .. 18.25526274065573</td><td>0.620967467711837 .. 11.398850217819215</td><td>0.6391415407913354 .. 21.98699423789983</td><td>0.6421942364161295 .. 22.423699905395566</td><td>0.6356201044784004 .. 18.034997429262372</td><td>0.6216114616911508 .. 11.124394874572754</td><td>0.4847437528641889 .. 12.192184416770935</td><td>0.5282613909819819 .. 17.767122807246402</td><td>0.5581144814430542 .. 21.54606495619572</td><td>0.8506102155152666 .. 22.126132792213653</td><td>0.7571697391258237 .. 12.581726676940917</td><td>0.6862556554165565 .. 20.675450859714687</td><td>0.7602866485168458 .. 13.232743530273439</td><td>0.7657390830542711 .. 12.650300128936767</td><td>0.76212726541661 .. 13.343647583007812</td><td>0.7425231324492677 .. 12.76011256313324</td><td>0.7169473447501286 .. 13.292374832153321</td><td>0.7267188641730218 .. 12.818294348716737</td></tr>\n",
       "<tr><td>134226600</td><td>2097290</td><td>0.5743871992737176</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9339289819762494 .. 21.337671983533472</td><td>0.7787056354976795 .. 21.4384457483636</td><td>0.8727735362557393 .. 21.210250604184257</td><td>0.7042303504831787 .. 20.249513009180113</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7259504356911959 .. 23.113059982591192</td><td>0.738018431314462 .. 22.961635216719888</td><td>0.8692301934292631 .. 22.996603661300036</td><td>0.8719674052155912 .. 22.370496462172234</td><td>0.9394259817919929 .. 22.72590353646029</td><td>0.9371428185830942 .. 22.081642342521302</td><td>0.8799999982399797 .. 21.458912508291696</td><td>0.87716955941255 .. 21.395151138305664</td><td>0.7310289029403024 .. 12.769855239868164</td><td>0.8395764657796739 .. 12.85369471168518</td><td>0.842253481344436 .. 12.557538803100586</td><td>0.9020210068419723 .. 12.734908607482911</td><td>0.8601105266959064 .. 12.574199676513672</td><td>0.8831302645949113 .. 12.790310783386232</td><td>0.7166634520626533 .. 20.13097596019931</td><td>0.8003479708491074 .. 12.453978351593019</td><td>0.7272663065043814 .. 20.455610957704334</td><td>0.7045414308416885 .. 19.30608567006994</td><td>0.49024778504441874 .. 18.25526274065573</td><td>0.620967467711837 .. 11.398850217819215</td><td>0.6391415407913354 .. 21.98699423789983</td><td>0.6421942364161295 .. 22.423699905395566</td><td>0.6356201044784004 .. 18.034997429262372</td><td>0.6216114616911508 .. 11.124394874572754</td><td>0.4847437528641889 .. 12.192184416770935</td><td>0.5282613909819819 .. 17.767122807246402</td><td>0.5581144814430542 .. 21.54606495619572</td><td>0.8506102155152666 .. 22.126132792213653</td><td>0.7571697391258237 .. 12.581726676940917</td><td>0.6862556554165565 .. 20.675450859714687</td><td>0.7602866485168458 .. 13.232743530273439</td><td>0.7657390830542711 .. 12.650300128936767</td><td>0.76212726541661 .. 13.343647583007812</td><td>0.7425231324492677 .. 12.76011256313324</td><td>0.7169473447501286 .. 13.292374832153321</td><td>0.7267188641730218 .. 12.818294348716737</td></tr>\n",
       "<tr><td>134226594</td><td>2097290</td><td>0.5743871992737176</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9339289819762494 .. 21.337671983533472</td><td>0.7787056354976795 .. 21.4384457483636</td><td>0.8727735362557393 .. 21.210250604184257</td><td>0.7042303504831787 .. 20.249513009180113</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7259504356911959 .. 23.113059982591192</td><td>0.738018431314462 .. 22.961635216719888</td><td>0.8692301934292631 .. 22.996603661300036</td><td>0.8719674052155912 .. 22.370496462172234</td><td>0.9394259817919929 .. 22.72590353646029</td><td>0.9371428185830942 .. 22.081642342521302</td><td>0.8799999982399797 .. 21.458912508291696</td><td>0.87716955941255 .. 21.395151138305664</td><td>0.7310289029403024 .. 12.769855239868164</td><td>0.8395764657796739 .. 12.85369471168518</td><td>0.842253481344436 .. 12.557538803100586</td><td>0.9020210068419723 .. 12.734908607482911</td><td>0.8601105266959064 .. 12.574199676513672</td><td>0.8831302645949113 .. 12.790310783386232</td><td>0.7166634520626533 .. 20.13097596019931</td><td>0.8003479708491074 .. 12.453978351593019</td><td>0.7272663065043814 .. 20.455610957704334</td><td>0.7045414308416885 .. 19.30608567006994</td><td>0.49024778504441874 .. 18.25526274065573</td><td>0.620967467711837 .. 11.398850217819215</td><td>0.6391415407913354 .. 21.98699423789983</td><td>0.6421942364161295 .. 22.423699905395566</td><td>0.6356201044784004 .. 18.034997429262372</td><td>0.6216114616911508 .. 11.124394874572754</td><td>0.4847437528641889 .. 12.192184416770935</td><td>0.5282613909819819 .. 17.767122807246402</td><td>0.5581144814430542 .. 21.54606495619572</td><td>0.8506102155152666 .. 22.126132792213653</td><td>0.7571697391258237 .. 12.581726676940917</td><td>0.6862556554165565 .. 20.675450859714687</td><td>0.7602866485168458 .. 13.232743530273439</td><td>0.7657390830542711 .. 12.650300128936767</td><td>0.76212726541661 .. 13.343647583007812</td><td>0.7425231324492677 .. 12.76011256313324</td><td>0.7169473447501286 .. 13.292374832153321</td><td>0.7267188641730218 .. 12.818294348716737</td></tr>\n",
       "<tr><td>134228014</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134227976</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134227980</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134227978</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134227977</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134227968</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134227971</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134227970</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134228015</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134227969</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134228008</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134227979</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134228013</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134227982</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134228011</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134228000</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134228001</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134228009</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134228012</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134228007</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134228006</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134228002</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134228004</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134228010</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134228003</td><td>2097312</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134228100</td><td>2097314</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134228108</td><td>2097314</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>134228106</td><td>2097314</td><td>0.5986672017770643</td><td>0.04924158789870352 .. 29.0</td><td>0.06380484531609629 .. 29.0</td><td>0.9341474418603911 .. 20.535981266038338</td><td>0.8454240979093577 .. 22.837926290348644</td><td>0.8724760889817893 .. 21.542443678947333</td><td>0.7417675074294596 .. 21.53494179997828</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7620024073228412 .. 22.941285862955986</td><td>0.7633257183840253 .. 22.658711416496427</td><td>0.9103938448300373 .. 22.64596571418217</td><td>0.9009660136150957 .. 22.562348122551697</td><td>0.9402794552761271 .. 21.699520467668492</td><td>0.9351339652146569 .. 21.930190432056534</td><td>0.8743853360909194 .. 21.0205806110275</td><td>0.8957617411225659 .. 21.203943252563477</td><td>0.7499996148505917 .. 21.066936052991107</td><td>0.7586108267692051 .. 21.478826301444773</td><td>0.8494524929043165 .. 12.557538803100586</td><td>0.7954518577851745 .. 19.559715767787093</td><td>0.7954529266968763 .. 20.712664300372847</td><td>0.8759492911902268 .. 12.790310783386232</td><td>0.7778878659206983 .. 12.3980752658844</td><td>0.7368533481754345 .. 20.45704348483492</td><td>0.7237055183908604 .. 12.059012578964232</td><td>0.6841940630502252 .. 20.597745135366225</td><td>0.6178496352463441 .. 11.849098567962647</td><td>0.5806450553776552 .. 19.671113272497678</td><td>0.5749988975897345 .. 18.299266258680916</td><td>0.5956308150809261 .. 10.407962959289552</td><td>0.5227742715757333 .. 17.9461328212131</td><td>0.5285036828618741 .. 18.783070811868026</td><td>0.552013892241217 .. 19.620366270991177</td><td>0.5504781682893247 .. 19.624294138169017</td><td>0.5265638141665737 .. 21.736671782920453</td><td>0.7880697322983212 .. 21.12294821244869</td><td>0.7679948411482675 .. 12.581726676940917</td><td>0.7593557569512055 .. 12.274035120010375</td><td>0.7311406045378185 .. 13.232743530273439</td><td>0.7468117548014572 .. 12.650300128936767</td><td>0.5735906413859413 .. 19.7060356559414</td><td>0.6911300601231907 .. 12.76011256313324</td><td>0.6504066241419864 .. 19.61371984235905</td><td>0.7757604084301497 .. 18.81007478817446</td></tr>\n",
       "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
       "<tr><td>738196425</td><td>11534319</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738196440</td><td>11534319</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738196458</td><td>11534319</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738196461</td><td>11534319</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197024</td><td>11534328</td><td>0.3866883284336479</td><td>0.05400088740517392 .. 29.0</td><td>0.06223624234163759 .. 29.0</td><td>0.8943749919819214 .. 21.104299518986345</td><td>0.7600771888837594 .. 22.835836330959165</td><td>0.8573629890759186 .. 22.100290468925937</td><td>0.6648925980452443 .. 21.462468275002216</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.6470565053922337 .. 23.36185392724799</td><td>0.686566304104993 .. 22.99621593104884</td><td>0.877255831309368 .. 22.699788153897373</td><td>0.8585523522741588 .. 22.717917212713115</td><td>0.9338234917215897 .. 21.827479496400617</td><td>0.8926654677521617 .. 21.6528315235949</td><td>0.8556338007878983 .. 21.276440638317375</td><td>0.8509316770186336 .. 21.29147720336914</td><td>0.785566261077183 .. 12.769855239868164</td><td>0.6916590095943016 .. 12.85369471168518</td><td>0.7047651250400445 .. 20.35296622209969</td><td>0.715595222096337 .. 19.571024358913277</td><td>0.6226401020619562 .. 20.411259133709464</td><td>0.6722675973921078 .. 20.66622497752689</td><td>0.5641012318720003 .. 19.681519085682616</td><td>0.6494833543218387 .. 20.010580795429842</td><td>0.702490636134905 .. 12.059012578964232</td><td>0.7040806837512732 .. 18.33822432506072</td><td>0.484423780047697 .. 11.849098567962647</td><td>0.6000014181320606 .. 18.62465413860845</td><td>0.38364253172544194 .. 10.9200191822052</td><td>0.3202800518473541 .. 10.407962959289552</td><td>0.390539670879471 .. 18.420984808938147</td><td>0.2952375582782283 .. 11.124394874572754</td><td>0.37963128672597135 .. 12.192184416770935</td><td>0.3658359875849898 .. 17.87405708057045</td><td>0.42719097731463596 .. 21.186451256467503</td><td>0.5348830894165898 .. 20.139184683266592</td><td>0.5716766772871156 .. 12.581726676940917</td><td>0.46666494391882224 .. 19.12948746750035</td><td>0.6061731020254427 .. 13.232743530273439</td><td>0.5823125171804565 .. 12.650300128936767</td><td>0.5337455559246859 .. 13.343647583007812</td><td>0.4453684961848946 .. 20.109604357982374</td><td>0.3084370845853969 .. 20.501753552176147</td><td>0.456976924231009 .. 12.818294348716737</td></tr>\n",
       "<tr><td>738197026</td><td>11534328</td><td>0.3866883284336479</td><td>0.05400088740517392 .. 29.0</td><td>0.06223624234163759 .. 29.0</td><td>0.8943749919819214 .. 21.104299518986345</td><td>0.7600771888837594 .. 22.835836330959165</td><td>0.8573629890759186 .. 22.100290468925937</td><td>0.6648925980452443 .. 21.462468275002216</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.6470565053922337 .. 23.36185392724799</td><td>0.686566304104993 .. 22.99621593104884</td><td>0.877255831309368 .. 22.699788153897373</td><td>0.8585523522741588 .. 22.717917212713115</td><td>0.9338234917215897 .. 21.827479496400617</td><td>0.8926654677521617 .. 21.6528315235949</td><td>0.8556338007878983 .. 21.276440638317375</td><td>0.8509316770186336 .. 21.29147720336914</td><td>0.785566261077183 .. 12.769855239868164</td><td>0.6916590095943016 .. 12.85369471168518</td><td>0.7047651250400445 .. 20.35296622209969</td><td>0.715595222096337 .. 19.571024358913277</td><td>0.6226401020619562 .. 20.411259133709464</td><td>0.6722675973921078 .. 20.66622497752689</td><td>0.5641012318720003 .. 19.681519085682616</td><td>0.6494833543218387 .. 20.010580795429842</td><td>0.702490636134905 .. 12.059012578964232</td><td>0.7040806837512732 .. 18.33822432506072</td><td>0.484423780047697 .. 11.849098567962647</td><td>0.6000014181320606 .. 18.62465413860845</td><td>0.38364253172544194 .. 10.9200191822052</td><td>0.3202800518473541 .. 10.407962959289552</td><td>0.390539670879471 .. 18.420984808938147</td><td>0.2952375582782283 .. 11.124394874572754</td><td>0.37963128672597135 .. 12.192184416770935</td><td>0.3658359875849898 .. 17.87405708057045</td><td>0.42719097731463596 .. 21.186451256467503</td><td>0.5348830894165898 .. 20.139184683266592</td><td>0.5716766772871156 .. 12.581726676940917</td><td>0.46666494391882224 .. 19.12948746750035</td><td>0.6061731020254427 .. 13.232743530273439</td><td>0.5823125171804565 .. 12.650300128936767</td><td>0.5337455559246859 .. 13.343647583007812</td><td>0.4453684961848946 .. 20.109604357982374</td><td>0.3084370845853969 .. 20.501753552176147</td><td>0.456976924231009 .. 12.818294348716737</td></tr>\n",
       "<tr><td>738197032</td><td>11534328</td><td>0.3866883284336479</td><td>0.05400088740517392 .. 29.0</td><td>0.06223624234163759 .. 29.0</td><td>0.8943749919819214 .. 21.104299518986345</td><td>0.7600771888837594 .. 22.835836330959165</td><td>0.8573629890759186 .. 22.100290468925937</td><td>0.6648925980452443 .. 21.462468275002216</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.6470565053922337 .. 23.36185392724799</td><td>0.686566304104993 .. 22.99621593104884</td><td>0.877255831309368 .. 22.699788153897373</td><td>0.8585523522741588 .. 22.717917212713115</td><td>0.9338234917215897 .. 21.827479496400617</td><td>0.8926654677521617 .. 21.6528315235949</td><td>0.8556338007878983 .. 21.276440638317375</td><td>0.8509316770186336 .. 21.29147720336914</td><td>0.785566261077183 .. 12.769855239868164</td><td>0.6916590095943016 .. 12.85369471168518</td><td>0.7047651250400445 .. 20.35296622209969</td><td>0.715595222096337 .. 19.571024358913277</td><td>0.6226401020619562 .. 20.411259133709464</td><td>0.6722675973921078 .. 20.66622497752689</td><td>0.5641012318720003 .. 19.681519085682616</td><td>0.6494833543218387 .. 20.010580795429842</td><td>0.702490636134905 .. 12.059012578964232</td><td>0.7040806837512732 .. 18.33822432506072</td><td>0.484423780047697 .. 11.849098567962647</td><td>0.6000014181320606 .. 18.62465413860845</td><td>0.38364253172544194 .. 10.9200191822052</td><td>0.3202800518473541 .. 10.407962959289552</td><td>0.390539670879471 .. 18.420984808938147</td><td>0.2952375582782283 .. 11.124394874572754</td><td>0.37963128672597135 .. 12.192184416770935</td><td>0.3658359875849898 .. 17.87405708057045</td><td>0.42719097731463596 .. 21.186451256467503</td><td>0.5348830894165898 .. 20.139184683266592</td><td>0.5716766772871156 .. 12.581726676940917</td><td>0.46666494391882224 .. 19.12948746750035</td><td>0.6061731020254427 .. 13.232743530273439</td><td>0.5823125171804565 .. 12.650300128936767</td><td>0.5337455559246859 .. 13.343647583007812</td><td>0.4453684961848946 .. 20.109604357982374</td><td>0.3084370845853969 .. 20.501753552176147</td><td>0.456976924231009 .. 12.818294348716737</td></tr>\n",
       "<tr><td>738197035</td><td>11534328</td><td>0.3866883284336479</td><td>0.05400088740517392 .. 29.0</td><td>0.06223624234163759 .. 29.0</td><td>0.8943749919819214 .. 21.104299518986345</td><td>0.7600771888837594 .. 22.835836330959165</td><td>0.8573629890759186 .. 22.100290468925937</td><td>0.6648925980452443 .. 21.462468275002216</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.6470565053922337 .. 23.36185392724799</td><td>0.686566304104993 .. 22.99621593104884</td><td>0.877255831309368 .. 22.699788153897373</td><td>0.8585523522741588 .. 22.717917212713115</td><td>0.9338234917215897 .. 21.827479496400617</td><td>0.8926654677521617 .. 21.6528315235949</td><td>0.8556338007878983 .. 21.276440638317375</td><td>0.8509316770186336 .. 21.29147720336914</td><td>0.785566261077183 .. 12.769855239868164</td><td>0.6916590095943016 .. 12.85369471168518</td><td>0.7047651250400445 .. 20.35296622209969</td><td>0.715595222096337 .. 19.571024358913277</td><td>0.6226401020619562 .. 20.411259133709464</td><td>0.6722675973921078 .. 20.66622497752689</td><td>0.5641012318720003 .. 19.681519085682616</td><td>0.6494833543218387 .. 20.010580795429842</td><td>0.702490636134905 .. 12.059012578964232</td><td>0.7040806837512732 .. 18.33822432506072</td><td>0.484423780047697 .. 11.849098567962647</td><td>0.6000014181320606 .. 18.62465413860845</td><td>0.38364253172544194 .. 10.9200191822052</td><td>0.3202800518473541 .. 10.407962959289552</td><td>0.390539670879471 .. 18.420984808938147</td><td>0.2952375582782283 .. 11.124394874572754</td><td>0.37963128672597135 .. 12.192184416770935</td><td>0.3658359875849898 .. 17.87405708057045</td><td>0.42719097731463596 .. 21.186451256467503</td><td>0.5348830894165898 .. 20.139184683266592</td><td>0.5716766772871156 .. 12.581726676940917</td><td>0.46666494391882224 .. 19.12948746750035</td><td>0.6061731020254427 .. 13.232743530273439</td><td>0.5823125171804565 .. 12.650300128936767</td><td>0.5337455559246859 .. 13.343647583007812</td><td>0.4453684961848946 .. 20.109604357982374</td><td>0.3084370845853969 .. 20.501753552176147</td><td>0.456976924231009 .. 12.818294348716737</td></tr>\n",
       "<tr><td>738197034</td><td>11534328</td><td>0.3866883284336479</td><td>0.05400088740517392 .. 29.0</td><td>0.06223624234163759 .. 29.0</td><td>0.8943749919819214 .. 21.104299518986345</td><td>0.7600771888837594 .. 22.835836330959165</td><td>0.8573629890759186 .. 22.100290468925937</td><td>0.6648925980452443 .. 21.462468275002216</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.6470565053922337 .. 23.36185392724799</td><td>0.686566304104993 .. 22.99621593104884</td><td>0.877255831309368 .. 22.699788153897373</td><td>0.8585523522741588 .. 22.717917212713115</td><td>0.9338234917215897 .. 21.827479496400617</td><td>0.8926654677521617 .. 21.6528315235949</td><td>0.8556338007878983 .. 21.276440638317375</td><td>0.8509316770186336 .. 21.29147720336914</td><td>0.785566261077183 .. 12.769855239868164</td><td>0.6916590095943016 .. 12.85369471168518</td><td>0.7047651250400445 .. 20.35296622209969</td><td>0.715595222096337 .. 19.571024358913277</td><td>0.6226401020619562 .. 20.411259133709464</td><td>0.6722675973921078 .. 20.66622497752689</td><td>0.5641012318720003 .. 19.681519085682616</td><td>0.6494833543218387 .. 20.010580795429842</td><td>0.702490636134905 .. 12.059012578964232</td><td>0.7040806837512732 .. 18.33822432506072</td><td>0.484423780047697 .. 11.849098567962647</td><td>0.6000014181320606 .. 18.62465413860845</td><td>0.38364253172544194 .. 10.9200191822052</td><td>0.3202800518473541 .. 10.407962959289552</td><td>0.390539670879471 .. 18.420984808938147</td><td>0.2952375582782283 .. 11.124394874572754</td><td>0.37963128672597135 .. 12.192184416770935</td><td>0.3658359875849898 .. 17.87405708057045</td><td>0.42719097731463596 .. 21.186451256467503</td><td>0.5348830894165898 .. 20.139184683266592</td><td>0.5716766772871156 .. 12.581726676940917</td><td>0.46666494391882224 .. 19.12948746750035</td><td>0.6061731020254427 .. 13.232743530273439</td><td>0.5823125171804565 .. 12.650300128936767</td><td>0.5337455559246859 .. 13.343647583007812</td><td>0.4453684961848946 .. 20.109604357982374</td><td>0.3084370845853969 .. 20.501753552176147</td><td>0.456976924231009 .. 12.818294348716737</td></tr>\n",
       "<tr><td>738197152</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197120</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197166</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197165</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197164</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197163</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197162</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197161</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197160</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197159</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197158</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197156</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197167</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197155</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197153</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197134</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197132</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197131</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197130</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197129</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197128</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197123</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197122</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197121</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "<tr><td>738197154</td><td>11534330</td><td>0.5522595736957793</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.9147843829068297 .. 20.843172568767308</td><td>0.8286287023618324 .. 22.93963991446119</td><td>0.882785565980676 .. 21.2156207168965</td><td>0.7500010769864184 .. 20.606388127163836</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.7413314707143018 .. 22.98906816068023</td><td>0.7053134171527762 .. 23.05602892156923</td><td>0.9064323179231492 .. 22.753306173909902</td><td>0.8888886871088526 .. 22.126293803786815</td><td>0.9219706043934116 .. 21.957649285287832</td><td>0.8984962170014505 .. 22.11599064963466</td><td>0.9050504815877981 .. 21.333162200902915</td><td>0.8508535473615787 .. 21.09206097090335</td><td>0.7311922504992083 .. 12.769855239868164</td><td>0.658535112899423 .. 21.654958777914583</td><td>0.865811163866719 .. 12.557538803100586</td><td>0.6388854250727422 .. 20.766120755207485</td><td>0.8711610957093031 .. 25.46317189788842</td><td>0.8933107874524762 .. 12.790310783386232</td><td>0.5999983490663707 .. 19.33322608293659</td><td>0.5999908893874244 .. 20.753573895670023</td><td>0.7266302813224209 .. 12.059012578964232</td><td>0.7497159902409791 .. 12.067991048812866</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5739861364052494 .. 10.9200191822052</td><td>0.4721463108053898 .. 19.191004229408463</td><td>0.6073230199436639 .. 12.206049503326415</td><td>0.4284902955851199 .. 18.669672472757238</td><td>0.40378994688160563 .. 19.071166015807133</td><td>0.3800826898297947 .. 18.304811762888598</td><td>0.6018972302891392 .. 20.114966280527234</td><td>0.675000815909957 .. 20.304113593256183</td><td>0.47200355486888146 .. 21.47812483817708</td><td>0.7487225477304946 .. 12.274035120010375</td><td>0.5712218989530355 .. 18.906346122961832</td><td>0.6967990845425177 .. 12.650300128936767</td><td>0.8337471660566175 .. 18.9448065306107</td><td>0.6540510888794836 .. 19.24992888656542</td><td>0.6400168313676354 .. 19.629764011469984</td><td>0.48902703566294026 .. 19.162352775755032</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Table masked=True length=1204479>\n",
       "hp_idx_O_13 hp_idx_O_10    pz_fraction     ...         pz_glf_m_ap_vircam_k [6]                   pz_glf_m_vircam_k [6]          \n",
       "   int64       int64         float64       ...                 float64                                   float64                 \n",
       "----------- ----------- ------------------ ... ---------------------------------------- -----------------------------------------\n",
       "  134226592     2097290 0.5743871992737176 ... 0.7169473447501286 .. 13.292374832153321  0.7267188641730218 .. 12.818294348716737\n",
       "  134226602     2097290 0.5743871992737176 ... 0.7169473447501286 .. 13.292374832153321  0.7267188641730218 .. 12.818294348716737\n",
       "  134226603     2097290 0.5743871992737176 ... 0.7169473447501286 .. 13.292374832153321  0.7267188641730218 .. 12.818294348716737\n",
       "  134226600     2097290 0.5743871992737176 ... 0.7169473447501286 .. 13.292374832153321  0.7267188641730218 .. 12.818294348716737\n",
       "  134226594     2097290 0.5743871992737176 ... 0.7169473447501286 .. 13.292374832153321  0.7267188641730218 .. 12.818294348716737\n",
       "  134228014     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134227976     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134227980     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134227978     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134227977     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134227968     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134227971     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134227970     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134228015     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134227969     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134228008     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134227979     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134228013     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134227982     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134228011     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134228000     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134228001     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134228009     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134228012     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134228007     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134228006     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134228002     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134228004     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134228010     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134228003     2097312 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134228100     2097314 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134228108     2097314 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "  134228106     2097314 0.5986672017770643 ...  0.6504066241419864 .. 19.61371984235905   0.7757604084301497 .. 18.81007478817446\n",
       "        ...         ...                ... ...                                      ...                                       ...\n",
       "  738196425    11534319 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738196440    11534319 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738196458    11534319 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738196461    11534319 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197024    11534328 0.3866883284336479 ... 0.3084370845853969 .. 20.501753552176147   0.456976924231009 .. 12.818294348716737\n",
       "  738197026    11534328 0.3866883284336479 ... 0.3084370845853969 .. 20.501753552176147   0.456976924231009 .. 12.818294348716737\n",
       "  738197032    11534328 0.3866883284336479 ... 0.3084370845853969 .. 20.501753552176147   0.456976924231009 .. 12.818294348716737\n",
       "  738197035    11534328 0.3866883284336479 ... 0.3084370845853969 .. 20.501753552176147   0.456976924231009 .. 12.818294348716737\n",
       "  738197034    11534328 0.3866883284336479 ... 0.3084370845853969 .. 20.501753552176147   0.456976924231009 .. 12.818294348716737\n",
       "  738197152    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197120    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197166    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197165    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197164    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197163    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197162    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197161    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197160    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197159    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197158    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197156    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197167    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197155    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197153    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197134    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197132    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197131    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197130    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197129    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197128    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197123    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197122    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197121    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032\n",
       "  738197154    11534330 0.5522595736957793 ... 0.6400168313676354 .. 19.629764011469984 0.48902703566294026 .. 19.162352775755032"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pz_depth_map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " ![HELP LOGO](https://avatars1.githubusercontent.com/u/7880370?s=75&v=4)\n",
    " \n",
    "**Author**: [Kenneth Duncan](http://dunkenj.github.io)\n",
    "\n",
    "The Herschel Extragalactic Legacy Project, ([HELP](http://herschel.sussex.ac.uk/)), is a [European Commission Research Executive Agency](https://ec.europa.eu/info/departments/research-executive-agency_en)\n",
    "funded project under the SP1-Cooperation, Collaborative project, Small or medium-scale focused research project, FP7-SPACE-2013-1 scheme, Grant Agreement\n",
    "Number 607254.\n",
    "\n",
    "[Acknowledgements](http://herschel.sussex.ac.uk/acknowledgements)\n",
    "\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}