{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# COSMOS master catalogue for HELP DR2\n",
    "\n",
    "This notebook presents the merge of the various pristine catalogues to produce HELP mater catalogue on COSMOS."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This notebook was run with herschelhelp_internal version: \n",
      "1407877 (Mon Feb 4 12:56:29 2019 +0000)\n",
      "This notebook was executed on: \n",
      "2021-01-15 18:37:03.557622\n"
     ]
    }
   ],
   "source": [
    "from herschelhelp_internal import git_version\n",
    "print(\"This notebook was run with herschelhelp_internal version: \\n{}\".format(git_version()))\n",
    "import datetime\n",
    "print(\"This notebook was executed on: \\n{}\".format(datetime.datetime.now()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/rs548/miniconda3/envs/herschelhelp_internal/lib/python3.6/_collections_abc.py:841: MatplotlibDeprecationWarning: \n",
      "The examples.directory rcparam was deprecated in Matplotlib 3.0 and will be removed in 3.2. In the future, examples will be found relative to the 'datapath' directory.\n",
      "  self[key] = other[key]\n",
      "/Users/rs548/miniconda3/envs/herschelhelp_internal/lib/python3.6/_collections_abc.py:841: MatplotlibDeprecationWarning: \n",
      "The savefig.frameon rcparam was deprecated in Matplotlib 3.1 and will be removed in 3.3.\n",
      "  self[key] = other[key]\n",
      "/Users/rs548/miniconda3/envs/herschelhelp_internal/lib/python3.6/_collections_abc.py:841: MatplotlibDeprecationWarning: \n",
      "The text.latex.unicode rcparam was deprecated in Matplotlib 3.0 and will be removed in 3.2.\n",
      "  self[key] = other[key]\n",
      "/Users/rs548/miniconda3/envs/herschelhelp_internal/lib/python3.6/_collections_abc.py:841: MatplotlibDeprecationWarning: \n",
      "The verbose.fileo rcparam was deprecated in Matplotlib 3.1 and will be removed in 3.3.\n",
      "  self[key] = other[key]\n",
      "/Users/rs548/miniconda3/envs/herschelhelp_internal/lib/python3.6/_collections_abc.py:841: MatplotlibDeprecationWarning: \n",
      "The verbose.level rcparam was deprecated in Matplotlib 3.1 and will be removed in 3.3.\n",
      "  self[key] = other[key]\n",
      "/Users/rs548/miniconda3/envs/herschelhelp_internal/lib/python3.6/site-packages/seaborn/apionly.py:9: UserWarning: As seaborn no longer sets a default style on import, the seaborn.apionly module is deprecated. It will be removed in a future version.\n",
      "  warnings.warn(msg, UserWarning)\n"
     ]
    }
   ],
   "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",
    "from collections import OrderedDict\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\n",
    "import numpy as np\n",
    "from pymoc import MOC\n",
    "\n",
    "from herschelhelp_internal.masterlist import merge_catalogues, nb_merge_dist_plot, specz_merge\n",
    "from herschelhelp_internal.utils import coords_to_hpidx, ebv, gen_help_id, inMoc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "TMP_DIR = os.environ.get('TMP_DIR', \"./data_tmp\")\n",
    "#TMP_DIR = '/Volumes/Raph500/COSMOS2020' #COSMOS is currently private so all data processed locally\n",
    "#OUT_DIR = os.environ.get('OUT_DIR', \"./data\")\n",
    "OUT_DIR ='/home/rshirley/COSMOS2020'\n",
    "SUFFIX = os.environ.get('SUFFIX', time.strftime(\"_%Y%m%d\"))\n",
    "\n",
    "try:\n",
    "    os.makedirs(OUT_DIR)\n",
    "except FileExistsError:\n",
    "    pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## I - Reading the prepared pristine catalogues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#cosmos2020 = Table.read(\"{}/COSMOS2020_HELP.fits\".format(TMP_DIR))\n",
    "cosmos2020 = Table.read(\"/home/rshirley/COSMOS2020/COSMOS2020_HELP.fits\".format(TMP_DIR))\n",
    "\n",
    "candels = Table.read(\"{}/CANDELS.fits\".format(TMP_DIR))\n",
    "cfhtls = Table.read(\"{}/CFHTLS.fits\".format(TMP_DIR))\n",
    "decals = Table.read(\"{}/DECaLS.fits\".format(TMP_DIR))\n",
    "kids = Table.read(\"{}/KIDS.fits\".format(TMP_DIR))\n",
    "ps1 = Table.read(\"{}/PS1.fits\".format(TMP_DIR))\n",
    "las = Table.read(\"{}/UKIDSS-LAS.fits\".format(TMP_DIR))\n",
    "wirds = Table.read(\"{}/CFHT-WIRDS.fits\".format(TMP_DIR))\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## II - Merging tables\n",
    "\n",
    "We first merge the optical catalogues and then add the infrared ones: CANDELS, CFHTLS, DECaLS, HSC, KIDS, PanSTARRS, UKIDSS-LAS, and CFHT-WIRDS.\n",
    "\n",
    "At every step, we look at the distribution of the distances separating the sources from one catalogue to the other (within a maximum radius) to determine the best cross-matching radius."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### COSMOS 2015"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "master_catalogue = cosmos2020\n",
    "master_catalogue['cosmos_ra'].name = 'ra'\n",
    "master_catalogue['cosmos_dec'].name = 'dec'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add CANDELS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlMAAAFzCAYAAAAaBYxDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+17YcXAAAgAElEQVR4nOzdd3ic1Z328e9PvVjdktUtuffesMFUE1MNAUJPCCSEbEiWlE2y72ZrdjdLspuygYSQhEASSgIEMMRgmo2xDe69y7KsaqsXq5fz/mHBKo6L7JH8zEj357p0oZl5NHN7bKRb5znPOeacQ0RERETOTZDXAUREREQCmcqUiIiIiA9UpkRERER8oDIlIiIi4gOVKREREREfqEyJiIiI+CDEqxceOnSoy8nJ8erlRURERHpt06ZNlc655JM95lmZysnJYePGjV69vIiIiEivmdnhUz2m03wiIiIiPlCZEhEREfGBypSIiIiID1SmRERERHygMiUiIiLiA5UpERERER+oTImIiIj4QGVKRERExAe9KlNmttjM9plZnpl9+ySP/52Zbe3+2GlmnWaW2PdxRURERPzLGcuUmQUDjwJXAROA281sQs9jnHM/cM5Nc85NA/4eeM85V90fgUVERET8SW9GpuYAec65fOdcG/AcsOQ0x98OPNsX4URERET8XW/KVAZQ1ON2cfd9f8XMooDFwIunePx+M9toZhsrKirONquIiIiI3+lNmbKT3OdOcex1wJpTneJzzj3unJvlnJuVnHzSjZdFREREAkpIL44pBrJ63M4ESk9x7G3oFJ/nnllX6PNz3DE3uw+SiIiIDHy9GZnaAIw2s1wzC+N4YVp64kFmFgdcDLzStxFFRERE/NcZR6accx1m9iCwHAgGnnDO7TKzB7off6z70BuBN51zjf2WVkRERMTP9OY0H865ZcCyE+577ITbTwJP9lUwERERkUCgFdBFREREfKAyJSIiIuIDlSkRERERH6hMiYiIiPhAZUpERETEBypTIiIiIj5QmRIRERHxgcqUiIiIiA9UpkRERER8oDIlIiIi4gOVKREREREfqEyJiIiI+EBlSkRERMQHKlMiIiIiPlCZEhEREfGBypSIiIiID1SmRERERHygMiUiIiLiA5UpERERER+oTImIiIj4QGVKRERExAcqUyIiIiI+UJkSERER8YHKlIiIiIgPVKZEREREfKAyJSIiIuIDlSkRERERH6hMiYiIiPhAZUpERETEBypTIiIiIj5QmRIRERHxgcqUiIiIiA9UpkRERER8oDIlIiIi4gOVKREREREf9KpMmdliM9tnZnlm9u1THHOJmW01s11m9l7fxhQRERHxTyFnOsDMgoFHgUVAMbDBzJY653b3OCYe+Bmw2DlXaGYp/RVYRERExJ/0ZmRqDpDnnMt3zrUBzwFLTjjmDuBPzrlCAOdced/GFBEREfFPvSlTGUBRj9vF3ff1NAZIMLOVZrbJzD7dVwFFRERE/NkZT/MBdpL73EmeZyZwORAJfGBmHzrn9v/FE5ndD9wPkJ2dffZpRURERPxMb0amioGsHrczgdKTHPOGc67ROVcJrAKmnvhEzrnHnXOznHOzkpOTzzWziIiIiN/oTZnaAIw2s1wzCwNuA5aecMwrwEVmFmJmUcBcYE/fRhURERHxP2c8zeec6zCzB4HlQDDwhHNul5k90P34Y865PWb2BrAd6AJ+5Zzb2Z/BRURERPxBb+ZM4ZxbBiw74b7HTrj9A+AHfRdNRERExP9pBXQRERERH6hMiYiIiPhAZUpERETEBypTIiIiIj5QmRIRERHxgcqUiIiIiA9UpkRERER8oDIlIiIi4gOVKREREREfqEyJiIiI+EBlSkRERMQHKlMiIiIiPlCZEhEREfGBypSIiIiID1SmRERERHygMiUiIiLiA5UpERERER+oTImIiIj4QGVKRERExAcqUyIiIiI+UJkSERER8YHKlIiIiIgPVKZEREREfKAyJSIiIuIDlSkRERERH6hMiYiIiPhAZUpERETEBypTIiIiIj5QmRIRERHxgcqUiIiIiA9UpkRERER8oDIlIiIi4gOVKREREREfqEyJiIiI+EBlSkRERMQHKlMiIiIiPuhVmTKzxWa2z8zyzOzbJ3n8EjOrM7Ot3R//1PdRRURERPxPyJkOMLNg4FFgEVAMbDCzpc653Scc+r5z7tp+yCgiIiLit3ozMjUHyHPO5Tvn2oDngCX9G0tEREQkMPSmTGUART1uF3ffd6ILzGybmb1uZhNP9kRmdr+ZbTSzjRUVFecQV0RERMS/9KZM2Unucyfc3gwMd85NBX4KvHyyJ3LOPe6cm+Wcm5WcnHx2SUVERET8UG/KVDGQ1eN2JlDa8wDnXL1z7lj358uAUDMb2mcpRURERPxUb8rUBmC0meWaWRhwG7C05wFmlmpm1v35nO7nrerrsCIiIiL+5oxX8znnOszsQWA5EAw84ZzbZWYPdD/+GHAz8EUz6wCagduccyeeChQREREZcM5YpuDjU3fLTrjvsR6fPwI80rfRRERERPyfVkAXERER8YHKlIiIiIgPVKZEREREfKAyJSIiIuIDlSkRERERH6hMiYiIiPhAZUpERETEBypTIiIiIj5QmRIRERHxgcqUiIiIiA9UpkRERER8oDIlIiIi4gOVKREREREfqEyJiIiI+EBlSkRERMQHKlMiIiIiPlCZEhEREfGBypSIiIiID1SmRERERHygMiUiIiLiA5UpERERER+oTImIiIj4QGVKRERExAcqUyIiIiI+UJkSERER8YHKlIiIiIgPVKZEREREfKAyJSIiIuIDlSkRERERH6hMiYiIiPhAZUpERETEBypTIiIiIj5QmRIRERHxgcqUiIiIiA9UpkRERER8oDIlIiIi4oNelSkzW2xm+8wsz8y+fZrjZptZp5nd3HcRRURERPzXGcuUmQUDjwJXAROA281swimOexhY3tchRURERPxVb0am5gB5zrl851wb8Byw5CTHfRl4ESjvw3wiIiIifq03ZSoDKOpxu7j7vo+ZWQZwI/DY6Z7IzO43s41mtrGiouJss4qIiIj4nd6UKTvJfe6E2z8GvuWc6zzdEznnHnfOzXLOzUpOTu5tRhERERG/FdKLY4qBrB63M4HSE46ZBTxnZgBDgavNrMM593KfpBQRERHxU70pUxuA0WaWC5QAtwF39DzAOZf70edm9iTwmoqUiIiIDAZnLFPOuQ4ze5DjV+kFA08453aZ2QPdj592npSIiIjIQNabkSmcc8uAZSfcd9IS5Zy7x/dYIiIiIoFBK6CLiIiI+EBlSkRERMQHKlMiIiIiPlCZEhEREfGBypSIiIiID1SmRERERHygMiUiIiLiA5UpERERER+oTImIiIj4QGVKRERExAcqUyIiIiI+UJkSERER8YHKlIiIiIgPVKZEREREfKAyJSIiIuIDlSkRERERH6hMiYiIiPggxOsAIiIiAs+sK/T5Oe6Ym90HSeRsaWRKRERExAcqUyIiIiI+UJkSERER8YHKlIiIiIgPVKZEREREfKAyJSIiIuIDlSkRERERH2idKRERGfT6Yo0nGbw0MiUiIiLiA5UpERERER+oTImIiIj4QGVKRERExAcqUyIiIiI+UJkSERER8YHKlIiIiIgPtM6UiIjICdo7uzha30JZXQtldc00tnb+xeNxkaEMT4pieFI0Q8L1o3Sw078AERERoKaxjZ2ldewsqaOktpkud/z+8JAgYiJCAOs+0rGnrJ7VeZUAJA8JZ2JGLBeNSiYyLNiT7OKtXpUpM1sM/AQIBn7lnPuvEx5fAnwX6AI6gIecc6v7OKuIiEifqm9p54WNxfx69SFKapsByIiPZOGYZNLjIkmLiyAhOowgs7/4uo7OLkpqmymobCS/spGV+yr4ML+Ki0cnc8HIoYSFaBbNYHLGMmVmwcCjwCKgGNhgZkudc7t7HPYOsNQ558xsCvBHYFx/BBYREfFVXnkDT609zIubi2lq6yQjPpLFE1OZlBFHYnTYGb8+JDiI4UnRDE+K5uKxUFbXzJu7jrJ891HWHqziqslpTMuKPw9/EvEHvRmZmgPkOefyAczsOWAJ8HGZcs4d63F8NOD6MqSIiEhf2HS4hkfePcCKfRWEBQdx/bR07pmfw/biOp+eNy0uks/Mz+FwVSOv7zzCHzcWUV7fwhUThv3VqJYMPL0pUxlAUY/bxcDcEw8ysxuB7wEpwDV9kk5ERKQPbCio5n/fOcD7BypJiArla4vGcMfcbIYOCQfwuUx9ZHhSNJ+/aARLt5Wwcn8FVY1t3Dwzk9BgnfYbyHpTpk5Wqf9q5Mk59xLwkpkt5Pj8qSv+6onM7gfuB8jOzj67pCIiImdpW1Et31++lzV5VQwdEsb/u3ocd84dTnQ/XoEXHGTcMC2DpOhw3th1hLrmdu6aN1xX/Q1gvfmbLQayetzOBEpPdbBzbpWZjTSzoc65yhMeexx4HGDWrFk6FSgiIj57Zl3hX91X3tDCW7uPsqu0nqiwYK6elMqc3CTCQoJ4Zespf4T1GTNj4ZhkEqLDeH5jEU+sPsQXLh5BeIiu9huIelOmNgCjzSwXKAFuA+7oeYCZjQIOdk9AnwGEAVV9HVZEROR0apvaeGdvOZsP1xAaEsTl41K4cNRQwkO9KTGTM+IIDwniqbUFvLCpmNvnZGsO1QB0xjLlnOswsweB5RxfGuEJ59wuM3ug+/HHgJuAT5tZO9AM3Oqc08iTiIicF42tHby3//jyBA6YPzKJi8em+MWptTHDYrhqUirLdh5hxd5yLh8/zOtI0sd69a/MObcMWHbCfY/1+Pxh4OG+jSYiInJ6DS3tvLP3KKsPVNLW0cWM7AQuH59CfNSZlzc4nxaMGkpZXQvv7C1nWGwEkzLivI4kfcj7yi4iInKWmto6+O0Hh3nsvYPUNrUzIS2WRROGMSw2wutoJ2Vm3DA9g8pjrbywqZikIWGkxUV6HUv6iMqUiIgEjNaOTp5dV8gjKw5SeayVS8YmMyEtlsyEKK+jnVFocBB3zh3Oz1bm8dyGIr582ShCgrRkwkCgv0UREfF77Z1dPLu+kEt/sJJ/eXU3o1KieeGBC3jys3MCokh9JDYylBumZ1DR0MrqA5Vn/gIJCBqZEhERv9Xe2cUrW0v56bsHOFzVxPTseH5wy1Tmj0zCAvSquHGpsUxKj+XdveVMzogjqXvhUAlcKlMiIuJ3Wto7+cOGIh5flU9JbTMT0mJ54p5ZXDo2JWBLVE/XTknnQPl+lm4r5Z75OQPizzSYqUyJiIjfqG5s45l1h3lybQGVx9qYNTyBf79hEpeMTR5QhSM2MpQrJwzj1e1lbC+uY6o2RQ5oKlMiIuK5fUca+M2aQ7y0pYTWji4uHpPMly4dxZzcRK+j9Zu5I5LYUlTLn3eUMWZYDJFhWh09UKlMiYiIJ1raO1m+6wg/efsA+ZWNhAYb07MSuGBkEsNiI8grP0Ze+TGvY/abIDu+h9/PVubx5u4jLJmW4XUkOUcqUyIiAepke9KdjTvmerPh/N4j9fxxQzF/2lJMbVM7CVHHT3nNyUkkyg9WLD+f0uMjmZ2TyIaCahaOPr6XnwSewfWvVkREPFFU3cTSbaUs3VrKvqMNhAYbV05I5bY5WRyuahrU+9VdMjaFTYdrWLGvnE/OyPQ6jpwDlSkREelzzjn2HW3g7d1HeWv3UbYV1wEwa3gC310ykasnp328JEBRtW8jbIEuLjKU2bmJrMuv4uIxyVoqIQCpTImISJ+oa2rng/xK1uRVsWJfOcU1zQBMy4rnm4vHct2UdLISA2eBzfPp4jHJbDhUzYp9Fdw8U6NTgUZlSkREzklFQys/fns/hVVN5Fc2UlrbjAPCgoMYkRzNjdMzGJsaQ2xEKADva8XvU4qNCGVubiIf5Fdxydhkhmp0KqCoTImIyBk1tLSzq7SenSV17CipY2tRLYermgAIDjIyEyK5bFwKI5OHkJkYqT3nzsHCMcmsL6hmxd5ybpmV5XUcOQsqUyIi8hfqW9rZWXy8NO3sLlCHKhs/fjwtLoIpmXHcNXc4VcdaSY+PJCRY5clXMRGhzM1NYk1eJZeMTSE5RqNTgUJlSkRkEOvo7GL/0WNsLaplS2ENW4pqOVhxDOeOP54RH8mkjFhumpHBpIw4JmXE/cUpKF+XZ5C/tHBMMusOHZ9z9imNTgUMlSkRkUGkraOLQ5XHOFTZxCtbS9hRUkdTWycAidFhTMuKZ8nUdKZkxTM5I45ErXt0Xg0JD2F2TiLr8qtZPCn14/lm4t9UpkREBriKhlb2lNVzoLyBgqomOrscwWZMyozjU7OymJ4dz7SseLITowbU/neB6oIRSXxwsIr1h6q5Yvwwr+NIL6hMiYgMQNWNbWwvrmVHSR1ldS0ADIsN54IRSYweNoScpGg+Mz/H25ByUklDwhmbGsO6Q9VcMiZZ89ECgMqUiMgA0dHZxc7SOtblV3O4+viVdtmJUVw7JY2J6XHEReqUUaCYP3IoT6w5xPaSOmZkJ3gdR85AZUpEJMDVNrWx7lA1GwuqaWzrJCk6jMUTU5mcGUdClOY8BaKRydGkxISz9mAl07PidfrVz6lMiYgEqKpjrby3v4LNhTU4B+PTYpk7IpGRyUN6tdedrsTzX2bGBSOTeGVrKYermsgZGu11JDkNlSkRkQBzqLKRn75zgJe3lhBkxpzcJC4aPVSjUAPM9KwElu86wtr8KpUpP6cyNUi0dXSxp6ye8JAgYiNDiY0MJTosWEPHIh45l1GhY60dvLu3nPWHqggOMuaPHMqFo4fq8vkBKiwkiNk5iazJq6S2qY14lWW/pTI1CJTXt/DM+kLKG1r/4v6I0CA+NSuLcamxHiUTkd5o7+xi7cEqVu4rp72zi9k5iVw2LoUYlagBb96IJFYfqOTD7nWnxD+pTA1wW4tqeXlLCaHBxt3zhjMkPIS65nbqW9rZXFjD7z88zKdmZTElM97rqCJyEnnlx3h5awnVjW2MT43hE5NSSYmJ8DqWnCcJUWGMT4tlU2ENiyYMIzhIZxP8kcrUANXZ5Xh1WynrC6rJSYri1tnZH18W/dEGBTOyE/jtBwX8YUMRbR1dzMpJ9CyviPylxtYOlu0oY0tRLUnRYdy7IJdRKUO8jiUemDU8gd1l9ew7Us+E9Div48hJqEwNUCv2lbO+oJqFo5NP+dtMRGgw98zP5Zn1h/nTlhJaO7pYMGqoB2lF5CPOObYU1bJsRxkt7Z1cOjaZS8amEKqFGwet0cNiiIkIYePhGpUpP6UyNQAdrW/hvX0VTMuKP+M59rCQIO6aN5w/bCjizzvKSIoOY1ya5lCJeKHqWCsvby3hYEUj2YlR3DA9g9RYndIb7IKDjBnZCazaX0F9czuxWnzV7+hXnQGms8vxp83FhIcGcfXktF59TUhQELfNziYlJpxXt5fS3tnVzylFpKfOLsd7+8r5yTsHKK5p5vqp6dy/cISKlHxs5vAEHLC5sMbrKHISKlMDzO8/PExRTTPXTE5jSHjvBx6Dg4zrpqZT09TOe/sr+jGhiPRUVN3EoyvyWL77KGNTY/jqFWOYNyKpV4tuyuAxdEg4OUnRbDpcg3PO6zhyApWpAaS0tpnvv7GX0SlDmJZ19lfnjUwewpTMOFbtr+BwVWM/JBSRj7S0d7J0WymPvXeQprYO7po7nDvnDtcpHDmlWTkJVDW2cUjfn/2OytQA4ZzjH1/eSZeDG6ZlnPNinFdPSiMoyPiXpbv0249IP3lz1xF+/PZ+1uVXMW9EEg9dMYYJ6ZqrKKc3KT2O8JAgNhXoVJ+/UZkaIFbuq+CdveV8/coxJESf+yq5sZGhXD4uhRX7Knh7T3kfJhSRI3UtPPC7Tdz/u01EhYXwwMUjuW5qOhGhwV5HkwAQFhLE1Mx4dpbW0dLe6XUc6UFlaoD4xaqDpMVF8Jn5OT4/1/yRQxmdMoR/fXWX/ocV6QNdXY7ffVDAoh++x4p95Xxz8Vi+dOkoshKjvI4mAWZWTgLtnY5txbVeR5EeVKYGgJ0ldXyYX81nF+T0yVo0wUHGv1w/keKaZp7fVNwHCUUGr50ldXzy52v5x1d2MSUrjuUPLeRvLhmllazlnGTERzIsNpzNh3Wqz5/06ievmS02s31mlmdm3z7J43ea2fbuj7VmNrXvo8qp/PL9fIaEh3DbnOw+e875I5OYmhXPr9/Pp7NLc6dEzlZdUzv/+PJOrntkNcU1TfzwU1P5/X1zyRka7XU0CWBmxvSsBIpqmqk61nrmL5Dz4oxlysyCgUeBq4AJwO1mNuGEww4BFzvnpgDfBR7v66BycqW1zby2vYxbZ2f16c7xZsb9F42goKqJt3Yf7bPnFRnoOjq7eHZ9IZf+z0qeXneYz1yQwztfv4RPzsg85wtDRHqamhWPcXzvVfEPvVmIaA6Q55zLBzCz54AlwO6PDnDOre1x/IdAZl+GlFN7cm0BAJ9dkNPnz/2JicPISozkl+/na7dykTNwzrFyXwXfe30P+48eY9bwBP51yRwmavsP6WNxkaHkJkezpaiWy8alqKT7gd6c5ssAinrcLu6+71TuA14/2QNmdr+ZbTSzjRUVWhjSVw0t7Ty7rpCrJqWSmdD3E1lDgoO4b0Eumw7XsOlwdZ8/v8hAsaO4jrt+vY7PPrmBto4ufn7nDJ5/4AIVKek307PiqW5so6im2esoQu/K1Mkq70kn0ZjZpRwvU9862ePOucedc7Occ7OSk5N7n1JO6g8bimho7eDzF43ot9f41Ows4iJD+eWqQ/32GiKBakdxHZ97agPXPbKaXaX1/PN1E3jzqxdz1eQ0jRZIv5qYHkdIkLG1SBPR/UFvTvMVA1k9bmcCpSceZGZTgF8BVznnqvomnpxKR2cXv1lTwJycRKaew2rnvRUVFsLd84bz6Mo8CiobNXlWBNhSWMOjK/J4e085cZGhfOPKMXxmfg4xfThvUeR0IkKDGZ8Wy/biOq6ZnK6rQz3Wm5GpDcBoM8s1szDgNmBpzwPMLBv4E3C3c25/38eUE729p5yS2mbuuyi331/r0/OHExoUxK9Xa3RKBq/OLsfrO8q46edrufFna9lQUMM3rhzD6m9dyoOXjVaRkvNuelY8TW2dHDja4HWUQe+MI1POuQ4zexBYDgQDTzjndpnZA92PPwb8E5AE/Kx7aLvDOTer/2LLC5uKSY4J5/JxKf3+WikxEdw4PYPnNxXxtUW+rbAuEmiqG9t4cVMxv/2wgKLqZrITo/iX6yZwy6wsos9iM3GRvjZ6WAxRYcFsKaplXJq2I/JSr74TOOeWActOuO+xHp9/Dvhc30aTU6k61srKfeXce2EuIX2wSGdv3HthLn/YWMSLm4v5XD/O0RLxB8451h+q5pn1hby+4whtnV3MGp7AP1w9nkUTUnVKRfxCcJAxJTOejQXVtLR3alsiD+nXqgD0ytZSOrocN804fytQjE2NYUZ2PM+uL+S+C3M1uVYGpKLqJl7aUsJLW0o4VNlITEQIt8/J4o65wxmbGuN1PJG/Mj0rng/zq9hVWs/M4Qlexxm0VKYC0Iubi5mUEXvev7nfNiebb76wnY2Ha5idk3heX1vkI8+sK+zT52tp72RnSR2bC2spqGoEIHdoNDfNyGRyRhxhIUHdy4P831VTd8ztu90GRHyRmRBJUnQYW4pqVKY8pDIVYPaU1bOrtJ5/ue7ERej737VT0vjuq7t5dn2hypQEtM4uR175MbYU1bC7tJ6OLsfQIeFcOWEYU7PiSYjSvEAJDGbG1Kx4Vuwtp76l3es4g5bKVIB5cVMxocHG9dNOt25q/4gKC+H6aem8sKmYf752InFRunpJAsvR+hY2F9awtbCWhtYOosKCmZWTwPSsBDITInX6WgLS1Mx43t1bzo7iOq+jDFoqUwGko7OLl7eWcunYFBI9uqLu9jnZPL2ukJe3lvCZ+TmeZBA5G81tnWwrrmVzYQ3FNc0EGYxNjWVmdjxjUmMICTo/F3GI9JfkmHDS4yPYVqy9+ryiMhVAVh2ooPJYKzfN9G7rw0kZcUzKiOXZ9YV8+oLh+k1e/FKXO34ab9PhGnaX1dPZ5UiNjeCayWlMzYpniJY0kAFmamY8r+88wqHKRnK1uPJ5p+8oAeTFTSUkRIVy6dj+X1vqdG6fk80/vLSTbcV1TOvH1ddFztax1g42FlSz/lA1tc3tRIUFMyc3kZnZCaTFRaj8y4A1JTOeN3Ye4dVtpXzl8tFexxl0VKYCRF1TO2/tPsodc7MJC/H2tMT1U9P599f28Nz6QpUp8QvFNU2sPVjFjpI6OrscI5KjuWpyGuPT+uc0Xl9fUSjiq7jIUHKGRvPy1hK+fNko/eJwnqlMBYjXd5bR1tl1XteWOpWYiFCum5rG0m2lfOfaCTplIp7oco79Rxt4/0AlhyobCQ8JYnZOIvNyE0mJjfA6nsh5Ny0znpe2lrCrtJ5JGXFexxlU9FMwQLy6vZScpCgmZfjHlgG3zs7mjxuL+fP2Um6drTV35Pzp7HJsLapl1YEKKhpaiYsM5epJqczKSdQK0DKoTcyI5bUdpSzdVqoydZ7pMpYAUNHQygcHq7h2SrrfDN3OyI5nRHI0z28s9jqKDBJtHV08u76QH761jxc3FxMSZHxqVibfuHIsF45OVpGSQS8qLISLx6SwdGspXV3O6ziDikamAsAbO8vocnDt1DSvo3zMzLhlZhYPv7GX/IpjjEge4nUkGaDaO7t4fmMxj7x7gNK6FjITIrluSjpjU2P85pcLEX+xZFo6b+85yvqCauaNSPI6zqChkakA8Or2MkanDGHsMP/aG+ymGRkEBxkvbNLolPS9ri7Ha9tLufJHq/h/L+1gWFwET907hy9ePJJxabEqUiInccX4YUSFBfPK1lKvowwqGpnyc0fqWthQUM1Dl4/xux8eKbERXDwmmRc3F/P1K8cSHORf+cT/9PYquAPlDby56ygltc2kxIRz97zhjEuNoaSm2e/+PxDxJ5FhwVw5YRjLdpTxr9dP9Pzq78FC77Kf+/OOMpyfneLr6ZaZmRytb2XVgQqvo8gAUFzTxK9X5/ObNQU0tnVw88xMvnL5aMZrJEqk15ZMy6Cuuf01ozMAAB59SURBVJ1V+/V9+XzRyJSfe217KePTYhnpp3OSLh8/jISoUF7YWOz5YqISuCoaWnlr9xF2ltYTFRbMNZPTmJubSEiwft8TOVsXjh5KQlQor2wr5YoJw7yOMyioTPmx4pomthTW8s3FY72OckphIUEsmZbBM+sKqW1qIz7Kmz0DJTDVNbfz7t6jbDpcQ0hwEJeNS+GiUUMJ15V5IucsNDiIa6ak8eKmEhpbO4jWWoD9Tr/2+bE/by8D4NrJ6R4nOb1bZmXS1tmlCY/Sa01tHby+s4z/eXMfmw/XMm9EEt+4cixXjB+mIiXSB5ZMy6C5vZO39xz1OsqgoLrqx17bXsbUzDiyk6K8jnJaE9PjmJAWy/ObivjM/Byv44gfa+3oZO3BKt4/UEFrexfTsuK5YvwwEqI1oinSl2ZmJ5ARH8krW0tZMi3D6zgDnkam/FRBZSM7Suq4dop/j0p95JZZmewsqWd3ab3XUcQPtXV08dTaAv77zf28tfsouUnRfPmy0dwyK0tFSqQfBAUZ101NZ9X+Cqob27yOM+CpTPmp17YfP2V2zRT/vIrvRDdMyyAsOIg/bNAGsPJ/OrscL24q5rL/Wck/L91FSkw4Dywcwd0X5JAap/3zRPrT9VPT6ehyLNtR5nWUAU9lyk+9tr2MWcMTSI+P9DpKryREh7F4UiovbSmhpb3T6zjiMeccy3cd4aqfrOLrz28jISqM3947h89dmEt2UrTX8UQGhfFpMYxOGcJSzWftdypTfiivvIG9Rxq4NkBGpT5y2+ws6ls6eGPnEa+jiEe6uhxv7DzC9Y+s4Qu/20RHl+Nnd85g6YMLWDgmWWtFiZxHZsaSaemsL6impLbZ6zgDmsqUH3p1WxlmcPXkwCpT80YkMTwpimfX61TfYNPR2cUrW0tY/JNVPPD7TTS0tPP9m6fw5kMLuXpymkqUiEeun3p88rlGp/qXrubzM845Xt1eytzcRFJiA2tOSVCQ8alZWfxg+T5tfjxItHV08dKWYn628iCHq5oYM2wIP7ltGtdMTtOCmyJ+IDspihnZ8by8pYQHLh6hX2z6ib7b+Zk9ZQ3kVzRy3dTAuIrvRLfMzCQ4yPjDxiKvo0g/amnv5Km1BVzygxV868UdxEaE8ou7Z/LG3y5kybQMFSkRP/LJGZnsO9rALl1t3W80MuVnXtteSnCQcdWkwDrF95GU2AguG5fCi5uK+caVYwnVD9UBpayumd9+cJhn1xdS29TO7JwEvnfTFBaOHqrfeEX81LVT0vi3V3fz4uZiJmXEeR1nQFKZ8iPOOV7bXsb8kUkkBvDaO7fNzuKt3Ud5Z89RFgdoKZT/45xjc2ENT6wp4I2dR3DOceWEVO69MJc5uYlexxORM4iPCuOKCSks3VrK/7t6vH7J7QcqU35kR0kdhdVNPHjpKK+j+OTiMcmkxkbw3IYilakA1tbRxZ93lPKbNQVsL64jNiKE+y7M5e55w8lK9O9V+UXkL900I5NlO46wcl8Fi7T5cZ9TmfIjr24rJTTY+MTEVK+j+CQkOIhbZmXyyIo8imuayEzQD95AUnmslac/LOT36w5T0dDKyORovnvDJD45PUMbpooEqIVjkhk6JIw/bS5WmeoH+s7oJ7q6HH/eXsbC0cnERYV6Hcdnt83J5tEVefzuw8P8/VXjvY4jvbCzpI7frCng1W2ltHV2ccnYZD67IJeLRg0lKOj4fKhn1mnZC5FAFBocxPVTM/j9h4epbWojPipwp5L4I5UpP7G5sIbSuhb+bvFYr6P0iYz4SD4xMZXn1hfx0OVjiAwL9jrSoHeyItTlHLtL61l7sIqCqkbCgoOYMTyeC0YMJTkmnJKaZp7boCszRQaCm2Zm8MSaQ7y6rZS7L8jxOs6AojLlJ17eWkJEaBCLJgT2Kb6ePrsgl9d3HuGlLSXcMTfb6zjSQ3NbJxsPV/NBfhW1Te0kRIVy1aRUZg1PVPEVGaAmpscxLjWGFzaXqEz1MZUpP9DW0cVr28u4ckIqQwbQnJTZOQlMTI/lybWHuH1Oli6d9wOVDa2sza9k8+Fa2jq7yB0azTWT0xifFkuQ/n5EBrybZmTyH8v2kFd+jFEpWli5r+j6SD+wcl85tU3t3Dgjw+sofcrMuGd+DvuPHmPtwSqv4wxazjnWHqzkybWH+OHb+9lQUMOkjDgevHQUn79oBBPT41SkRAaJJdPTCQ4yXtxc7HWUAUVlyg+8vLWEpOgwLho11Osofe66qekkRYfxmzWHvI4y6HR1Od7efZRP/nwtd/xyHaW1LVw+PoVvfmIsN8/MJD0+0uuIInKepcREcMmYZF7YVEx7Z5fXcQaMXpUpM1tsZvvMLM/Mvn2Sx8eZ2Qdm1mpm3+j7mANXXXM7b+8p57qp6QNyC46I0GDunJvNO3vLOVzV6HWcQeGjTYev/t/3+dxvN1LR0Mq/3zCJv/vEWC4fN4yYiMC/WlREzt0dc7OpaGjl7d1HvY4yYJxxgo6ZBQOPAouAYmCDmS11zu3ucVg18BXghn5JOYC9vqOMto4uPjnATvH1dOe84fxs5UGeWnuYf7pugtdxAlJvliTo6Oxic2Etqw5UUN3YRkpMOLfMzGRKZjxBZgQF61SeiMAlY1NIj4vgmfWFXDVZCyv3hd7Mdp4D5Dnn8gHM7DlgCfBxmXLOlQPlZnZNv6QcwP60pYQRydFMHsD7JQ2LjeCaKWn8cWMRX100WiMjfayjq4sNh6p5b38F9S0dZCZEcvWkbMZpUrmInERwkHHr7Gx+9PZ+Dlc1Mjwp2utIAa8355UygJ4LzRR333fWzOx+M9toZhsrKirO5SkGlOKaJtYfqubGaRkD/kq3z104gmOtHTy1tsDrKANGl3NsKazhR2/t59XtZSRGh3Pvgly+ePFIJmhSuYicxq2zswgOMp5dr3Xk+kJvytTJviO7c3kx59zjzrlZzrlZycnJ5/IUA8orW0sBuGH6wD3F95HJmXFcPi6FX75/iPqWdq/jBDTnHHvK6vnpuwd4flMxkaHB3DM/h89flMuolCEDvpiLiO9S4yK4fFwKz28soq1DE9F91ZsyVQxk9bidCZT2T5zBwznHS1tKmJ2TMGg2jX3oijHUNbfzm9UFXkcJWPmVx/jFqnx+9+FhOjodt83O4m8uHcWYYTEqUSJyVu6Ym01VYxvLdx3xOkrA602Z2gCMNrNcMwsDbgOW9m+sgW9HSR155ccGxajURyZnxrFowjB+tTqfumaNTp2Nsrpmnlx7iF+9f4japjZunJbBQ1eM+XhyuYjI2Vo4OpnMhEjtudkHzlimnHMdwIPAcmAP8Efn3C4ze8DMHgAws1QzKwa+BnzHzIrNLLY/gwe6Z9cXEhEaxLWT072Ocl49dMVoGlo6eGK11p3qjcpjrfz9n3bwyLt5FFU3c9WkVL5+5Vhm5yYSHKQSJSLnLijIuH1ONh/kV5FfcczrOAGtV3uXOOeWActOuO+xHp8f4fjpP+mFhpZ2XtlaynVT0omLGlxXtk1Mj+MTE4fxxOpD3Lsgd9D9+XurtaOTp9YW8NN38mhu72T+yCQuGzdM++aJSJ+6ZVYmP3prP0+vK+Qfr9XSNedq4K0SGQBe3lpKU1snd84b7nUUTzx0xRgaWjv41ep8r6P4Heccy3cd4cofreI/l+1lTm4iy7+6kGumpKtIiUifS4mJ4KrJafxhQ5EuDvKBytR55pzj6Q8PMzE9lqmZA3dtqdMZnxbL1ZNT+c2aAqqOtXodx2/sLq3njl+u4wu/20R4SBC/vXcOv75nNiOTtRmpiPSf+y86vnTNc+s1d+pc9eo0n/SdzYW17D3SwH/eOHlQX331tUVjeHPXUf5j2R5++KlpXsfpV2ea3NnQ0s7be46ysaCGyLBgrp+azuycRIprmjUxVET63eTMOC4YkcQTqwu4Z34uYSEaZzlbesfOs2fWFRIdFsz10wbXxPMTjUqJ4QsXj+BPm0tYm1fpdRxPdHR2sWp/BT98az+bDtcwf2QSX180lnkjkjS5XETOq/svHsGR+hZe266Vj86FytR5VNvUxmvbS7lhegZDwjUo+OXLRpOdGMU/vLyTlvZOr+OcN845dpXW8eN3DvDGriPkDo3mocvHaF6UiHjmkjHJjB0Ww+Or8nHunNblHtRUps6jFzeX0NrRxZ1zB+fE8xNFhAbz7zdM4lBlIz9fedDrOOdFaW0zv1p9iKfXFRISZHx2QQ6fviCHoTHhXkcTkUHMzPj8whHsPdLAqgOD82yBL1SmzhPnHE+vO8z07HgmpGsJro8sHJPMkmnp/HzlQfLKB+46Jw0t7fxpczGPrsjjaH0LS6al8+XLRjM6JcbraCIiAFw/NZ1hseE8vmpw/HLbl1SmzpM1eVXkVzRyx5xsr6P4ne9cM4GI0CD+4aUddHUNrOHlY60dvL3nKP/z5n42F9awYNRQvr5oLHNzNS9KRPxLWEgQn12Qy5q8KnaW1HkdJ6CoTJ0nj67IIyUmnOumDu6J5yeTHBPO/7t6POsOVfPIijyv4/SJ9s4ufvdBAZf8YAXv7i1nTGoMX71iDFdPTtO8KBHxW3fMzWZIeMigmXrRVzQL+jzYdLiGD/Kr+M4144kI1Q/Sk7l1dhbrD1Xzw7f2M2ZYDIsnpXod6Zw453hj5xG+v3wfhyobmZObyC0zB89m1iIS2GIjQrl3QQ7/+24eDxTXMXmQrod4tjQydR48uiKP+KhQbtcpvlMyM/7zk5OZlhXP1/64lT1l9V5HOmsbCqr55M/X8sWnNxMSZPz6M7P4w/3zVKREJKB8fuEIEqPDePiNvV5HCRgqU/1sV2kd7+4t594FuURrOYTTiggN5vG7ZxITEcLnntoYMKujby2q5Z7frOeWxz6gtLaZh2+azOt/exGXjx82qBdmFZHAFBMRypcuHcXqvEpW68q+XlGZ6mc/W3GQIeEhfOaCHK+jBISU2Agev3sWlcda+eLvN/v1+lNbi2r57G/Wc8Oja9haVMvffWIsK75xCbfOziYkWP9riUjgumteNhnxkTz8xt4Bd2FQf9B3/H6UV36MZTvLuPuC4cRFhXodJ2BMzYrn+zdPYcPham7/5YdU+tEIlXOO1QcqufvX67jh0TVs6S5Rq791GV+6dBRRYRp9FJHAFx4SzNcWjWFHSR3LdpZ5Hcfv6Tt/P/r5yoOEhwRx34W5XkcJOEumZRAeEsxDf9jCjT9bw5OfnePphr/tnV28vvMIv3jvILtK60mOCeebi8fy6QtytJq9iAxIN0zP4PFV+fz38n18YmIqoRpxPyW9M/2ksKqJl7eWcNvsbIYO0erW52LxpFSe/fw8mlo7+eTP1rIuv+q8Zyira+aHb+1nwX+9y1ee3UJzeycP3zSZ1d+6lL+5ZJSKlIgMWMFBxjcXj6Wgqonn1mvT9dPRT4J+8t0/7yY8JIgHLh7pdZRz8sw63//HuWOu71cvTs9O4KW/WcA9T67nrl+v49MX5PCVy0b362nT1o5OVu6r4IVNxbyz5yiO4/tWfW/ecC4dm0KQFtsUkUHisnEpzBuRyPeX7+PKiakMi43wOpJfUpnqByv2lfPW7qN8+6pxpMbpH56vspOieOmLC/jPZXt4Ys0hXtxczFcuG81d84YTFtI3g6ttHV18mF/F0m2lLN91hIaWDoYOCeMLF48kOiyExOgwjta38tyGoj55PRGRQGBmfO+TU1j841V85+WdPH73TF2lfBIqU32staOTf126ixHJ0dy7QHOl+kpcVCgP3zyFexbk8B9/3sO/vbabJ9cWcN3UNBZNSGVKRtxZjRh1dTnyK4/x/oHjl/5+kF9FU1snMeEhfGJSKtdPTWf+yCRCgoP6ZJRORCRQ5Q6N5muLxvC91/fy2vYy7eRxEipTfeyXq/IpqGrid/fN6bNRE/k/49Ni+d19c1i5r4JfrDrIY+/l8+iKg6TEhLNwTDLZiVGkxkYwLC6CxKgwmto6aGzroKGlg+rGNvYfbWDvkQb2H2mgse34sgs5SVHcNCOTi0YPZeGYZK1SLyJygvsuzGXZjjL+ZekuFowaSmJ0mNeR/IrKVB8qrmnikRV5XDUplYtGJ3sdZ8AyMy4dl8Kl41KobWr7+LTqir3lVDW2nfZr46NCGTsshptnZjIhPZb5I4dqhXIRkTMICQ7i+zdP5dqfvs+/vrqLn9w23etIfkVlqg/9+2t7APjOtRM8TjJ4xEeFceP0TG6cngkcP81aXt/KkfoWahrb+DC/mvCQIMJDg4gMDWZIeMjH5/s7u+B9re4rItIrY1Nj+NKlo/jx2we4dko6iyYM8zqS31CZ6iPLdpTxxq4jfOPKMWTER3odZ9AKDwkmKzHq49GmymOnH6kSEZHe+5tLRrF811G+8fw2Xv7SAnKHRnsdyS9oUk8fyCs/xt89v41pWfHcvzAwl0IQERE5k7CQIB6/eyZBBvc9tYG65navI/kFlSkfNbZ28MDvNxERGszP75qhSeciIjKgZSVG8fO7ZlJY1cSXn91CR2eX15E8p5/8PnDO8a0Xt5NfcYyf3j6dtDid3hMRkYFv3ogkvnvDJFbtr+B7r+/1Oo7nNGfKB79ZU8Br28v45uKxzB811Os4fsfX9Zn6YgV1ERHpH7fPyWbfkQZ+vfoQOUOjuXvecK8jeUZl6hy9uesI/7lsD1dOGMYXA3TLGH+nxTJFRPzbd64ZT2F1E//48k6aWjv4wiD9eajTfOfgpS3FfPHpzUzKiOO/PzVVS+uLiMigFBIcxGN3zeTaKWl87/W9fO/1PTjnvI513mlk6iz97sPD/NMrO5mXm8QvPzOLIeF6C0VEZPAKCwniJ7dNJz4qlF+8l09tYzv/ceMkQoIHz3iNmkAvOed47L18Hn5jL5ePS+HRO2do2xEREREgOMj47pJJJEaH87/vHKC4tonv3zx10Ky7OHhqow/KG1p44PebePiNvVw3NZ3H7p6pIiUiItKDmfG1RWN4+KbJbCmsZfGPVvHHDUWD4rSfytRpOOd4ZWsJV/5oFSv2VfDtq8bx41unETqIhi5FRETOxq2zs3njbxcyIT2Wb764nfue2khpbbPXsfqVTvOdwt4j9fz38v28veco07Pj+cHNUxmVMsTrWCIiIn4vOymKZz8/j6c+KODhN/Zy8Q9WcNOMTL5w8cgBuQWNylQPXV2O9w5U8Ov3D7E6r5LI0GD+4erx3HthLsFBumJPRESkt4KCjM8uyGXRhGE8viqf5zYU8ceNRVw9OY3PzM9hZnYCQQPkZ2uvypSZLQZ+AgQDv3LO/dcJj1v341cDTcA9zrnNfZy1X3R0drGlqJaV+8p5Y+cRDlY0Miw2nG8uHssdc7KJjwrzOqKIiEjAykyI4t+WTOLBy0bxxOoCfv/hYV7bXkZyTDifmDiMxRPTmJObGNDbsZ2xTJlZMPAosAgoBjaY2VLn3O4eh10FjO7+mAv8vPu/fqWry1Fc08y+ow3sP9rAzpI61uRVUt/SQXCQMXN4Ag9eNoprJqcH9F+qiIiIv0mJieDbV43jS5eO5N295SzfdYQXN5Xw+w8LCQsJYkJaLFMz45iaFc/olBgyEyKJjwoNiLUcezMyNQfIc87lA5jZc8ASoGeZWgL81h2fsv+hmcWbWZpzrqzPE/dSUXUTj713kIqGViqOtVJ5rJXy+lZaO/5vQ8bMhEgWT0rlkrEpLBg1lLjIUK/iioiIDAoxEaEsmZbBkmkZNLd18v6BCjYdrmFrUS3PbyrmqQ8Of3xsdFgwmQlRDI0JIy4ylNiIUOIiQwkPDSbYjJBgI8iMSRmxXDQ62bM/U2/KVAZQ1ON2MX896nSyYzIAz8pUa0cXb+w8wtAh4STHhDM8O4rkmHBGpQxhzLAYRg+L0YKbIiIiHooMC+bKialcOTEVgM4ux8GKYxyqbKS4ppmi6iaKa5qpaWrjaP0x6pvbqWtu/4uBEYC75mX7fZk62fjaiYtG9OYYzOx+4P7um8fMbF8vXl/O3lCg0usQAUbv2dnTe3Z29H6dPb1nZ+lOrwN45D+6P/rZKXdy7k2ZKgayetzOBErP4Ricc48Dj/fiNcUHZrbROTfL6xyBRO/Z2dN7dnb0fp09vWcSKHozy3oDMNrMcs0sDLgNWHrCMUuBT9tx84A6L+dLiYiIiJwvZxyZcs51mNmDwHKOL43whHNul5k90P34Y8Ayji+LkMfxpRE+23+RRURERPxHr2ZgO+eWcbww9bzvsR6fO+BLfRtNfKBTqWdP79nZ03t2dvR+nT29ZxIQbDBsQCgiIiLSX7QypYiIiIgPVKYGGDNbbGb7zCzPzL7tdR5/Z2ZPmFm5me30OksgMLMsM1thZnvMbJeZ/a3XmfydmUWY2Xoz29b9nv2r15kCgZkFm9kWM3vN6ywiZ6IyNYD02PrnKmACcLuZTfA2ld97EljsdYgA0gF83Tk3HpgHfEn/xs6oFbjMOTcVmAYs7r7qWU7vb4E9XocQ6Q2VqYHl461/nHNtwEdb/8gpOOdWAdVe5wgUzrmyjzYxd841cPyHXYa3qfybO+5Y983Q7g9NVj0NM8sErgF+5XUWkd5QmRpYTrWtj0ifM7McYDqwztsk/q/7lNVWoBx4yzmn9+z0fgx8E+g604Ei/kBlamDp1bY+Ir4ysyHAi8BDzrl6r/P4O+dcp3NuGsd3h5hjZpO8zuSvzOxaoNw5t8nrLCK9pTI1sPRqWx8RX5hZKMeL1NPOuT95nSeQOOdqgZVont7pLACuN7MCjk9VuMzMfu9tJJHTU5kaWHqz9Y/IOTMzA34N7HHO/dDrPIHAzJLNLL7780jgCmCvt6n8l3Pu751zmc65HI5/D3vXOXeXx7FETktlagBxznUAH239swf4o3Nul7ep/JuZPQt8AIw1s2Izu8/rTH5uAXA3x0cLtnZ/XO11KD+XBqwws+0c/4XnLeecLvcXGUC0ArqIiIiIDzQyJSIiIuIDlSkRERERH6hMiYiIiPhAZUpERETEBypTIiIiIj5QmRIRERHxgcqUiJyRmXV2rym1y8y2mdnXzCyo+7FZZva/p/naHDO74/yl/avXbu7eF88vmNmtZpZnZlprSmSAUJkSkd5ods5Nc85NBBYBVwP/DOCc2+ic+8ppvjYH8KRMdTvYvS9er5lZcH+Fcc79Afhcfz2/iJx/KlMiclacc+XA/cCDdtwlH42ymNnFPVZG32JmMcB/ARd13/fV7tGi981sc/fH/O6vvcTMVprZC2a218ye7t6+BjObbWZru0fF1ptZjJkFm9kPzGyDmW03sy/0Jr+ZvWxmm7pH2e7vcf8xM/s3M1sHXHCK15zY/fnW7tcc3f21d/W4/xcflTEzW9z9Z9xmZu/04V+DiPiREK8DiEjgcc7ld5/mSznhoW8AX3LOrTGzIUAL8G3gG865awHMLApY5Jxr6S4jzwKzur9+OjCR4xt0rwEWmNl64A/Arc65DWYWCzQD9wF1zrnZZhYOrDGzN51zh84Q/17nXHX3PnkbzOxF51wVEA3sdM79U/felntP8poPAD9xzj3dfUywmY0HbgUWOOfazexnwJ1m9jrwS2Chc+6QmSWe9RstIgFBZUpEzpWd5L41wA/N7GngT8654u7BpZ5CgUfMbBrQCYzp8dh651wxQPc8pxygDihzzm0AcM7Vdz9+JTDFzG7u/to4YDRwpjL1FTO7sfvzrO6vqerO8mL3/WNP8ZofAP9gZpndf74DZnY5MJPjxQwgEigH5gGrPip3zrnqM+QSkQClMiUiZ83MRnC8fJQD4z+63zn3X2b2Z47PqfrQzK44yZd/FTgKTOX4VIOWHo+19vi8k+Pfoww42SaiBnzZObf8LHJfAlwBXOCcazKzlUBE98MtzrnOHs/9V6/pnHum+zTgNcByM/tc97FPOef+/oTXuv4UuUVkgNGcKRE5K2aWDDwGPOJO2CndzEY653Y45x4GNgLjgAYgpsdhcRwf9ekC7gbONNl7L5BuZrO7XyPGzEKA5cAXzSy0+/4xZhZ9hueKA/5/O3eoUlkUhmH4/YLBJBisajOItyBzB4aRU7wA41yAyQuY4IBpgjBZgwwoghg1CRoGLGbRcJIIc46zDHspOIge2YJ6eJ+4WLDWbv/+/n/vbi2kZmjSo4HPrEXkeSllDdgG5oB94GuSibp3PMkkcAjMJ5m+X3/hbpI+KZMpSYMYrW23EaAP/AK+P7HvW5IvNKnSH2AH+Af0k5wAG8A6sJlkETgArp87uJTyN0kH+FHnnG5o0qWfNG3A4zqofgUsvPAcu8ByklPgDDh65ZkdYClJD7gAVuv81QqwV+fIejRzY0d1wH2rrl/SfAkpacjkvxdLSRoaSaaA36WU2Xe+yiO13fgwlC/pc7PNJ2mY3QJj+WA/7aRJ57rvfRdJb8NkSpIkqQWTKUmSpBYspiRJklqwmJIkSWrBYkqSJKkFiylJkqQW7gAfHvkH9Gn7sAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nb_merge_dist_plot(\n",
    "    SkyCoord(master_catalogue['ra'], master_catalogue['dec']),\n",
    "    SkyCoord(candels['candels_ra'], candels['candels_dec'])\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Given the graph above, we use 0.8 arc-second radius\n",
    "master_catalogue = merge_catalogues(master_catalogue, candels, \"candels_ra\", \"candels_dec\", radius=0.8*u.arcsec)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add CFHTLS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nb_merge_dist_plot(\n",
    "    SkyCoord(master_catalogue['ra'], master_catalogue['dec']),\n",
    "    SkyCoord(cfhtls['cfhtls_ra'], cfhtls['cfhtls_dec'])\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Given the graph above, we use 0.8 arc-second radius\n",
    "master_catalogue = merge_catalogues(master_catalogue, cfhtls, \"cfhtls_ra\", \"cfhtls_dec\", radius=0.8*u.arcsec)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add DECaLS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nb_merge_dist_plot(\n",
    "    SkyCoord(master_catalogue['ra'], master_catalogue['dec']),\n",
    "    SkyCoord(decals['decals_ra'], decals['decals_dec'])\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Given the graph above, we use 0.8 arc-second radius\n",
    "master_catalogue = merge_catalogues(master_catalogue, decals, \"decals_ra\", \"decals_dec\", radius=0.8*u.arcsec)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add KIDS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nb_merge_dist_plot(\n",
    "    SkyCoord(master_catalogue['ra'], master_catalogue['dec']),\n",
    "    SkyCoord(kids['kids_ra'], kids['kids_dec'])\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Given the graph above, we use 0.8 arc-second radius\n",
    "master_catalogue = merge_catalogues(master_catalogue, kids, \"kids_ra\", \"kids_dec\", radius=0.8*u.arcsec)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add UKIDSS LAS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nb_merge_dist_plot(\n",
    "    SkyCoord(master_catalogue['ra'], master_catalogue['dec']),\n",
    "    SkyCoord(las['las_ra'], las['las_dec'])\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Given the graph above, we use 0.8 arc-second radius\n",
    "master_catalogue = merge_catalogues(master_catalogue, las, \"las_ra\", \"las_dec\", radius=0.8*u.arcsec)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add CFHT-WIRDS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nb_merge_dist_plot(\n",
    "    SkyCoord(master_catalogue['ra'], master_catalogue['dec']),\n",
    "    SkyCoord(wirds['wirds_ra'], wirds['wirds_dec'])\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Given the graph above, we use 1 arc-second radius\n",
    "master_catalogue = merge_catalogues(master_catalogue, wirds, \"wirds_ra\", \"wirds_dec\", radius=1.*u.arcsec)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Add PanSTARRS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nb_merge_dist_plot(\n",
    "    SkyCoord(master_catalogue['ra'], master_catalogue['dec']),\n",
    "    SkyCoord(ps1['ps1_ra'], ps1['ps1_dec'])\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Given the graph above, we use 1 arc-second radius\n",
    "master_catalogue = merge_catalogues(master_catalogue, ps1, \"ps1_ra\", \"ps1_dec\", radius=1.*u.arcsec)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cleaning\n",
    "\n",
    "When we merge the catalogues, astropy masks the non-existent values (e.g. when a row comes only from a catalogue and has no counterparts in the other, the columns from the latest are masked for that row). We indicate to use NaN for masked values for floats columns, False for flag columns and -1 for ID columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "for col in master_catalogue.colnames:\n",
    "    #print(col)\n",
    "    if (col.startswith(\"m_\") \n",
    "        or col.startswith(\"merr_\") \n",
    "        or col.startswith(\"f_\") \n",
    "        or col.startswith(\"ferr_\") \n",
    "        or \"stellarity\" in col):\n",
    "        master_catalogue[col] = master_catalogue[col].astype(float)\n",
    "        master_catalogue[col].fill_value = np.nan\n",
    "    elif \"flag\" in col:\n",
    "        master_catalogue[col].fill_value = 0\n",
    "    elif \"id\" in col:\n",
    "        master_catalogue[col].fill_value = -1\n",
    "        \n",
    "master_catalogue = master_catalogue.filled()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=10</i>\n",
       "<table id=\"table5521834784-654945\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>idx</th><th>cosmos_id</th><th>ra</th><th>dec</th><th>m_cosmos-vista_ks</th><th>merr_cosmos-vista_ks</th><th>f_ap_cosmos-vista_ks</th><th>ferr_ap_cosmos-vista_ks</th><th>m_cosmos-vista_y</th><th>merr_cosmos-vista_y</th><th>f_ap_cosmos-vista_y</th><th>ferr_ap_cosmos-vista_y</th><th>m_cosmos-vista_h</th><th>merr_cosmos-vista_h</th><th>f_ap_cosmos-vista_h</th><th>ferr_ap_cosmos-vista_h</th><th>m_cosmos-vista_j</th><th>merr_cosmos-vista_j</th><th>f_ap_cosmos-vista_j</th><th>ferr_ap_cosmos-vista_j</th><th>m_cosmos-megacam_u</th><th>merr_cosmos-megacam_u</th><th>f_ap_cosmos-megacam_u</th><th>ferr_ap_cosmos-megacam_u</th><th>m_cosmos-suprime_b</th><th>merr_cosmos-suprime_b</th><th>f_ap_cosmos-suprime_b</th><th>ferr_ap_cosmos-suprime_b</th><th>m_cosmos-suprime_v</th><th>merr_cosmos-suprime_v</th><th>f_ap_cosmos-suprime_v</th><th>ferr_ap_cosmos-suprime_v</th><th>m_cosmos-suprime_ip</th><th>merr_cosmos-suprime_ip</th><th>f_ap_cosmos-suprime_ip</th><th>ferr_ap_cosmos-suprime_ip</th><th>m_cosmos-suprime_rc</th><th>merr_cosmos-suprime_rc</th><th>f_ap_cosmos-suprime_rc</th><th>ferr_ap_cosmos-suprime_rc</th><th>m_cosmos-suprime_zp</th><th>merr_cosmos-suprime_zp</th><th>f_ap_cosmos-suprime_zp</th><th>ferr_ap_cosmos-suprime_zp</th><th>m_cosmos-suprime_zpp</th><th>merr_cosmos-suprime_zpp</th><th>f_ap_cosmos-suprime_zpp</th><th>ferr_ap_cosmos-suprime_zpp</th><th>m_cosmos-suprime_ia484</th><th>merr_cosmos-suprime_ia484</th><th>f_ap_cosmos-suprime_ia484</th><th>ferr_ap_cosmos-suprime_ia484</th><th>m_cosmos-suprime_ia527</th><th>merr_cosmos-suprime_ia527</th><th>f_ap_cosmos-suprime_ia527</th><th>ferr_ap_cosmos-suprime_ia527</th><th>m_cosmos-suprime_ia624</th><th>merr_cosmos-suprime_ia624</th><th>f_ap_cosmos-suprime_ia624</th><th>ferr_ap_cosmos-suprime_ia624</th><th>m_cosmos-suprime_ia679</th><th>merr_cosmos-suprime_ia679</th><th>f_ap_cosmos-suprime_ia679</th><th>ferr_ap_cosmos-suprime_ia679</th><th>m_cosmos-suprime_ia738</th><th>merr_cosmos-suprime_ia738</th><th>f_ap_cosmos-suprime_ia738</th><th>ferr_ap_cosmos-suprime_ia738</th><th>m_cosmos-suprime_ia767</th><th>merr_cosmos-suprime_ia767</th><th>f_ap_cosmos-suprime_ia767</th><th>ferr_ap_cosmos-suprime_ia767</th><th>m_cosmos-suprime_ib427</th><th>merr_cosmos-suprime_ib427</th><th>f_ap_cosmos-suprime_ib427</th><th>ferr_ap_cosmos-suprime_ib427</th><th>m_cosmos-suprime_ib464</th><th>merr_cosmos-suprime_ib464</th><th>f_ap_cosmos-suprime_ib464</th><th>ferr_ap_cosmos-suprime_ib464</th><th>m_cosmos-suprime_ib505</th><th>merr_cosmos-suprime_ib505</th><th>f_ap_cosmos-suprime_ib505</th><th>ferr_ap_cosmos-suprime_ib505</th><th>m_cosmos-suprime_ib574</th><th>merr_cosmos-suprime_ib574</th><th>f_ap_cosmos-suprime_ib574</th><th>ferr_ap_cosmos-suprime_ib574</th><th>m_cosmos-suprime_ib709</th><th>merr_cosmos-suprime_ib709</th><th>f_ap_cosmos-suprime_ib709</th><th>ferr_ap_cosmos-suprime_ib709</th><th>m_cosmos-suprime_ib827</th><th>merr_cosmos-suprime_ib827</th><th>f_ap_cosmos-suprime_ib827</th><th>ferr_ap_cosmos-suprime_ib827</th><th>m_cosmos-suprime_nb711</th><th>merr_cosmos-suprime_nb711</th><th>f_ap_cosmos-suprime_nb711</th><th>ferr_ap_cosmos-suprime_nb711</th><th>m_cosmos-suprime_nb816</th><th>merr_cosmos-suprime_nb816</th><th>f_ap_cosmos-suprime_nb816</th><th>ferr_ap_cosmos-suprime_nb816</th><th>m_cosmos-suprime_g</th><th>merr_cosmos-suprime_g</th><th>f_ap_cosmos-suprime_g</th><th>ferr_ap_cosmos-suprime_g</th><th>m_cosmos-suprime_r</th><th>merr_cosmos-suprime_r</th><th>f_ap_cosmos-suprime_r</th><th>ferr_ap_cosmos-suprime_r</th><th>m_cosmos-suprime_i</th><th>merr_cosmos-suprime_i</th><th>f_ap_cosmos-suprime_i</th><th>ferr_ap_cosmos-suprime_i</th><th>m_cosmos-suprime_z</th><th>merr_cosmos-suprime_z</th><th>f_ap_cosmos-suprime_z</th><th>ferr_ap_cosmos-suprime_z</th><th>m_cosmos-suprime_y</th><th>merr_cosmos-suprime_y</th><th>f_ap_cosmos-suprime_y</th><th>ferr_ap_cosmos-suprime_y</th><th>f_cosmos-irac_i1</th><th>ferr_cosmos-irac_i1</th><th>m_cosmos-irac_i1</th><th>merr_cosmos-irac_i1</th><th>f_cosmos-irac_i2</th><th>ferr_cosmos-irac_i2</th><th>m_cosmos-irac_i2</th><th>merr_cosmos-irac_i2</th><th>f_cosmos-irac_i3</th><th>ferr_cosmos-irac_i3</th><th>m_cosmos-irac_i3</th><th>merr_cosmos-irac_i3</th><th>f_cosmos-irac_i4</th><th>ferr_cosmos-irac_i4</th><th>m_cosmos-irac_i4</th><th>merr_cosmos-irac_i4</th><th>f_cosmos-vista_ks</th><th>ferr_cosmos-vista_ks</th><th>flag_cosmos-vista_ks</th><th>m_ap_cosmos-vista_ks</th><th>merr_ap_cosmos-vista_ks</th><th>f_cosmos-vista_y</th><th>ferr_cosmos-vista_y</th><th>flag_cosmos-vista_y</th><th>m_ap_cosmos-vista_y</th><th>merr_ap_cosmos-vista_y</th><th>f_cosmos-vista_h</th><th>ferr_cosmos-vista_h</th><th>flag_cosmos-vista_h</th><th>m_ap_cosmos-vista_h</th><th>merr_ap_cosmos-vista_h</th><th>f_cosmos-vista_j</th><th>ferr_cosmos-vista_j</th><th>flag_cosmos-vista_j</th><th>m_ap_cosmos-vista_j</th><th>merr_ap_cosmos-vista_j</th><th>f_cosmos-megacam_u</th><th>ferr_cosmos-megacam_u</th><th>flag_cosmos-megacam_u</th><th>m_ap_cosmos-megacam_u</th><th>merr_ap_cosmos-megacam_u</th><th>f_cosmos-suprime_b</th><th>ferr_cosmos-suprime_b</th><th>flag_cosmos-suprime_b</th><th>m_ap_cosmos-suprime_b</th><th>merr_ap_cosmos-suprime_b</th><th>f_cosmos-suprime_v</th><th>ferr_cosmos-suprime_v</th><th>flag_cosmos-suprime_v</th><th>m_ap_cosmos-suprime_v</th><th>merr_ap_cosmos-suprime_v</th><th>f_cosmos-suprime_ip</th><th>ferr_cosmos-suprime_ip</th><th>flag_cosmos-suprime_ip</th><th>m_ap_cosmos-suprime_ip</th><th>merr_ap_cosmos-suprime_ip</th><th>f_cosmos-suprime_rc</th><th>ferr_cosmos-suprime_rc</th><th>flag_cosmos-suprime_rc</th><th>m_ap_cosmos-suprime_rc</th><th>merr_ap_cosmos-suprime_rc</th><th>f_cosmos-suprime_zp</th><th>ferr_cosmos-suprime_zp</th><th>flag_cosmos-suprime_zp</th><th>m_ap_cosmos-suprime_zp</th><th>merr_ap_cosmos-suprime_zp</th><th>f_cosmos-suprime_zpp</th><th>ferr_cosmos-suprime_zpp</th><th>flag_cosmos-suprime_zpp</th><th>m_ap_cosmos-suprime_zpp</th><th>merr_ap_cosmos-suprime_zpp</th><th>f_cosmos-suprime_ia484</th><th>ferr_cosmos-suprime_ia484</th><th>flag_cosmos-suprime_ia484</th><th>m_ap_cosmos-suprime_ia484</th><th>merr_ap_cosmos-suprime_ia484</th><th>f_cosmos-suprime_ia527</th><th>ferr_cosmos-suprime_ia527</th><th>flag_cosmos-suprime_ia527</th><th>m_ap_cosmos-suprime_ia527</th><th>merr_ap_cosmos-suprime_ia527</th><th>f_cosmos-suprime_ia624</th><th>ferr_cosmos-suprime_ia624</th><th>flag_cosmos-suprime_ia624</th><th>m_ap_cosmos-suprime_ia624</th><th>merr_ap_cosmos-suprime_ia624</th><th>f_cosmos-suprime_ia679</th><th>ferr_cosmos-suprime_ia679</th><th>flag_cosmos-suprime_ia679</th><th>m_ap_cosmos-suprime_ia679</th><th>merr_ap_cosmos-suprime_ia679</th><th>f_cosmos-suprime_ia738</th><th>ferr_cosmos-suprime_ia738</th><th>flag_cosmos-suprime_ia738</th><th>m_ap_cosmos-suprime_ia738</th><th>merr_ap_cosmos-suprime_ia738</th><th>f_cosmos-suprime_ia767</th><th>ferr_cosmos-suprime_ia767</th><th>flag_cosmos-suprime_ia767</th><th>m_ap_cosmos-suprime_ia767</th><th>merr_ap_cosmos-suprime_ia767</th><th>f_cosmos-suprime_ib427</th><th>ferr_cosmos-suprime_ib427</th><th>flag_cosmos-suprime_ib427</th><th>m_ap_cosmos-suprime_ib427</th><th>merr_ap_cosmos-suprime_ib427</th><th>f_cosmos-suprime_ib464</th><th>ferr_cosmos-suprime_ib464</th><th>flag_cosmos-suprime_ib464</th><th>m_ap_cosmos-suprime_ib464</th><th>merr_ap_cosmos-suprime_ib464</th><th>f_cosmos-suprime_ib505</th><th>ferr_cosmos-suprime_ib505</th><th>flag_cosmos-suprime_ib505</th><th>m_ap_cosmos-suprime_ib505</th><th>merr_ap_cosmos-suprime_ib505</th><th>f_cosmos-suprime_ib574</th><th>ferr_cosmos-suprime_ib574</th><th>flag_cosmos-suprime_ib574</th><th>m_ap_cosmos-suprime_ib574</th><th>merr_ap_cosmos-suprime_ib574</th><th>f_cosmos-suprime_ib709</th><th>ferr_cosmos-suprime_ib709</th><th>flag_cosmos-suprime_ib709</th><th>m_ap_cosmos-suprime_ib709</th><th>merr_ap_cosmos-suprime_ib709</th><th>f_cosmos-suprime_ib827</th><th>ferr_cosmos-suprime_ib827</th><th>flag_cosmos-suprime_ib827</th><th>m_ap_cosmos-suprime_ib827</th><th>merr_ap_cosmos-suprime_ib827</th><th>f_cosmos-suprime_nb711</th><th>ferr_cosmos-suprime_nb711</th><th>flag_cosmos-suprime_nb711</th><th>m_ap_cosmos-suprime_nb711</th><th>merr_ap_cosmos-suprime_nb711</th><th>f_cosmos-suprime_nb816</th><th>ferr_cosmos-suprime_nb816</th><th>flag_cosmos-suprime_nb816</th><th>m_ap_cosmos-suprime_nb816</th><th>merr_ap_cosmos-suprime_nb816</th><th>f_cosmos-suprime_g</th><th>ferr_cosmos-suprime_g</th><th>flag_cosmos-suprime_g</th><th>m_ap_cosmos-suprime_g</th><th>merr_ap_cosmos-suprime_g</th><th>f_cosmos-suprime_r</th><th>ferr_cosmos-suprime_r</th><th>flag_cosmos-suprime_r</th><th>m_ap_cosmos-suprime_r</th><th>merr_ap_cosmos-suprime_r</th><th>f_cosmos-suprime_i</th><th>ferr_cosmos-suprime_i</th><th>flag_cosmos-suprime_i</th><th>m_ap_cosmos-suprime_i</th><th>merr_ap_cosmos-suprime_i</th><th>f_cosmos-suprime_z</th><th>ferr_cosmos-suprime_z</th><th>flag_cosmos-suprime_z</th><th>m_ap_cosmos-suprime_z</th><th>merr_ap_cosmos-suprime_z</th><th>f_cosmos-suprime_y</th><th>ferr_cosmos-suprime_y</th><th>flag_cosmos-suprime_y</th><th>m_ap_cosmos-suprime_y</th><th>merr_ap_cosmos-suprime_y</th><th>flag_cosmos-irac_i1</th><th>flag_cosmos-irac_i2</th><th>flag_cosmos-irac_i3</th><th>flag_cosmos-irac_i4</th><th>cosmos_flag_cleaned</th><th>cosmos_flag_gaia</th><th>flag_merged</th><th>candels_id</th><th>candels_stellarity</th><th>f_ap_candels_f140w</th><th>ferr_ap_candels_f140w</th><th>f_candels_f140w</th><th>ferr_candels_f140w</th><th>f_ap_candels_f160w</th><th>ferr_ap_candels_f160w</th><th>f_candels_f160w</th><th>ferr_candels_f160w</th><th>f_candels_f606w</th><th>ferr_candels_f606w</th><th>f_candels_f814w</th><th>ferr_candels_f814w</th><th>f_candels_f125w</th><th>ferr_candels_f125w</th><th>m_ap_candels_f140w</th><th>merr_ap_candels_f140w</th><th>m_candels_f140w</th><th>merr_candels_f140w</th><th>flag_candels_f140w</th><th>m_ap_candels_f160w</th><th>merr_ap_candels_f160w</th><th>m_candels_f160w</th><th>merr_candels_f160w</th><th>flag_candels_f160w</th><th>m_candels_f606w</th><th>merr_candels_f606w</th><th>flag_candels_f606w</th><th>m_candels_f814w</th><th>merr_candels_f814w</th><th>flag_candels_f814w</th><th>m_candels_f125w</th><th>merr_candels_f125w</th><th>flag_candels_f125w</th><th>candels_flag_cleaned</th><th>candels_flag_gaia</th><th>cfhtls_id</th><th>cfhtls_stellarity</th><th>m_megacam_u</th><th>merr_megacam_u</th><th>m_megacam_g</th><th>merr_megacam_g</th><th>m_megacam_r</th><th>merr_megacam_r</th><th>m_megacam_i</th><th>merr_megacam_i</th><th>m_megacam_z</th><th>merr_megacam_z</th><th>m_ap_megacam_u</th><th>merr_ap_megacam_u</th><th>m_ap_megacam_g</th><th>merr_ap_megacam_g</th><th>m_ap_megacam_r</th><th>merr_ap_megacam_r</th><th>m_ap_megacam_i</th><th>merr_ap_megacam_i</th><th>m_ap_megacam_z</th><th>merr_ap_megacam_z</th><th>f_megacam_u</th><th>ferr_megacam_u</th><th>flag_megacam_u</th><th>f_megacam_g</th><th>ferr_megacam_g</th><th>flag_megacam_g</th><th>f_megacam_r</th><th>ferr_megacam_r</th><th>flag_megacam_r</th><th>f_megacam_i</th><th>ferr_megacam_i</th><th>flag_megacam_i</th><th>f_megacam_z</th><th>ferr_megacam_z</th><th>flag_megacam_z</th><th>f_ap_megacam_u</th><th>ferr_ap_megacam_u</th><th>f_ap_megacam_g</th><th>ferr_ap_megacam_g</th><th>f_ap_megacam_r</th><th>ferr_ap_megacam_r</th><th>f_ap_megacam_i</th><th>ferr_ap_megacam_i</th><th>f_ap_megacam_z</th><th>ferr_ap_megacam_z</th><th>cfhtls_flag_cleaned</th><th>cfhtls_flag_gaia</th><th>decals_id</th><th>f_decam_g</th><th>f_decam_r</th><th>f_decam_z</th><th>ferr_decam_g</th><th>ferr_decam_r</th><th>ferr_decam_z</th><th>f_ap_decam_g</th><th>f_ap_decam_r</th><th>f_ap_decam_z</th><th>ferr_ap_decam_g</th><th>ferr_ap_decam_r</th><th>ferr_ap_decam_z</th><th>m_decam_g</th><th>merr_decam_g</th><th>flag_decam_g</th><th>m_decam_r</th><th>merr_decam_r</th><th>flag_decam_r</th><th>m_decam_z</th><th>merr_decam_z</th><th>flag_decam_z</th><th>m_ap_decam_g</th><th>merr_ap_decam_g</th><th>m_ap_decam_r</th><th>merr_ap_decam_r</th><th>m_ap_decam_z</th><th>merr_ap_decam_z</th><th>decals_stellarity</th><th>decals_flag_cleaned</th><th>decals_flag_gaia</th><th>kids_id</th><th>kids_stellarity</th><th>m_kids_u</th><th>merr_kids_u</th><th>m_kids_g</th><th>merr_kids_g</th><th>m_kids_r</th><th>merr_kids_r</th><th>m_kids_i</th><th>merr_kids_i</th><th>f_ap_kids_u</th><th>ferr_ap_kids_u</th><th>f_ap_kids_g</th><th>ferr_ap_kids_g</th><th>f_ap_kids_r</th><th>ferr_ap_kids_r</th><th>f_ap_kids_i</th><th>ferr_ap_kids_i</th><th>f_kids_u</th><th>ferr_kids_u</th><th>flag_kids_u</th><th>f_kids_g</th><th>ferr_kids_g</th><th>flag_kids_g</th><th>f_kids_r</th><th>ferr_kids_r</th><th>flag_kids_r</th><th>f_kids_i</th><th>ferr_kids_i</th><th>flag_kids_i</th><th>m_ap_kids_u</th><th>merr_ap_kids_u</th><th>m_ap_kids_g</th><th>merr_ap_kids_g</th><th>m_ap_kids_r</th><th>merr_ap_kids_r</th><th>m_ap_kids_i</th><th>merr_ap_kids_i</th><th>kids_flag_cleaned</th><th>kids_flag_gaia</th><th>las_id</th><th>m_ukidss_y</th><th>merr_ukidss_y</th><th>m_ap_ukidss_y</th><th>merr_ap_ukidss_y</th><th>m_ukidss_j</th><th>merr_ukidss_j</th><th>m_ap_ukidss_j</th><th>merr_ap_ukidss_j</th><th>m_ap_ukidss_h</th><th>merr_ap_ukidss_h</th><th>m_ukidss_h</th><th>merr_ukidss_h</th><th>m_ap_ukidss_k</th><th>merr_ap_ukidss_k</th><th>m_ukidss_k</th><th>merr_ukidss_k</th><th>las_stellarity</th><th>f_ukidss_y</th><th>ferr_ukidss_y</th><th>flag_ukidss_y</th><th>f_ap_ukidss_y</th><th>ferr_ap_ukidss_y</th><th>f_ukidss_j</th><th>ferr_ukidss_j</th><th>flag_ukidss_j</th><th>f_ap_ukidss_j</th><th>ferr_ap_ukidss_j</th><th>f_ap_ukidss_h</th><th>ferr_ap_ukidss_h</th><th>f_ukidss_h</th><th>ferr_ukidss_h</th><th>flag_ukidss_h</th><th>f_ap_ukidss_k</th><th>ferr_ap_ukidss_k</th><th>f_ukidss_k</th><th>ferr_ukidss_k</th><th>flag_ukidss_k</th><th>las_flag_cleaned</th><th>las_flag_gaia</th><th>wirds_id</th><th>m_wirds_u</th><th>merr_wirds_u</th><th>m_ap_wirds_u</th><th>merr_ap_wirds_u</th><th>m_wirds_g</th><th>merr_wirds_g</th><th>m_ap_wirds_g</th><th>merr_ap_wirds_g</th><th>m_wirds_r</th><th>merr_wirds_r</th><th>m_ap_wirds_r</th><th>merr_ap_wirds_r</th><th>m_wirds_i</th><th>merr_wirds_i</th><th>m_ap_wirds_i</th><th>merr_ap_wirds_i</th><th>m_wirds_z</th><th>merr_wirds_z</th><th>m_ap_wirds_z</th><th>merr_ap_wirds_z</th><th>m_wirds_j</th><th>merr_wirds_j</th><th>m_ap_wirds_j</th><th>merr_ap_wirds_j</th><th>m_wirds_h</th><th>merr_wirds_h</th><th>m_ap_wirds_h</th><th>merr_ap_wirds_h</th><th>m_wirds_k</th><th>merr_wirds_k</th><th>m_ap_wirds_k</th><th>merr_ap_wirds_k</th><th>f_wirds_u</th><th>ferr_wirds_u</th><th>flag_wirds_u</th><th>f_ap_wirds_u</th><th>ferr_ap_wirds_u</th><th>f_wirds_g</th><th>ferr_wirds_g</th><th>flag_wirds_g</th><th>f_ap_wirds_g</th><th>ferr_ap_wirds_g</th><th>f_wirds_r</th><th>ferr_wirds_r</th><th>flag_wirds_r</th><th>f_ap_wirds_r</th><th>ferr_ap_wirds_r</th><th>f_wirds_i</th><th>ferr_wirds_i</th><th>flag_wirds_i</th><th>f_ap_wirds_i</th><th>ferr_ap_wirds_i</th><th>f_wirds_z</th><th>ferr_wirds_z</th><th>flag_wirds_z</th><th>f_ap_wirds_z</th><th>ferr_ap_wirds_z</th><th>f_wirds_j</th><th>ferr_wirds_j</th><th>flag_wirds_j</th><th>f_ap_wirds_j</th><th>ferr_ap_wirds_j</th><th>f_wirds_h</th><th>ferr_wirds_h</th><th>flag_wirds_h</th><th>f_ap_wirds_h</th><th>ferr_ap_wirds_h</th><th>f_wirds_k</th><th>ferr_wirds_k</th><th>flag_wirds_k</th><th>f_ap_wirds_k</th><th>ferr_ap_wirds_k</th><th>wirds_flag_cleaned</th><th>cfht-wirds_flag_gaia</th><th>ps1_id</th><th>m_ap_gpc1_g</th><th>merr_ap_gpc1_g</th><th>m_gpc1_g</th><th>merr_gpc1_g</th><th>m_ap_gpc1_r</th><th>merr_ap_gpc1_r</th><th>m_gpc1_r</th><th>merr_gpc1_r</th><th>m_ap_gpc1_i</th><th>merr_ap_gpc1_i</th><th>m_gpc1_i</th><th>merr_gpc1_i</th><th>m_ap_gpc1_z</th><th>merr_ap_gpc1_z</th><th>m_gpc1_z</th><th>merr_gpc1_z</th><th>m_ap_gpc1_y</th><th>merr_ap_gpc1_y</th><th>m_gpc1_y</th><th>merr_gpc1_y</th><th>f_ap_gpc1_g</th><th>ferr_ap_gpc1_g</th><th>f_gpc1_g</th><th>ferr_gpc1_g</th><th>flag_gpc1_g</th><th>f_ap_gpc1_r</th><th>ferr_ap_gpc1_r</th><th>f_gpc1_r</th><th>ferr_gpc1_r</th><th>flag_gpc1_r</th><th>f_ap_gpc1_i</th><th>ferr_ap_gpc1_i</th><th>f_gpc1_i</th><th>ferr_gpc1_i</th><th>flag_gpc1_i</th><th>f_ap_gpc1_z</th><th>ferr_ap_gpc1_z</th><th>f_gpc1_z</th><th>ferr_gpc1_z</th><th>flag_gpc1_z</th><th>f_ap_gpc1_y</th><th>ferr_ap_gpc1_y</th><th>f_gpc1_y</th><th>ferr_gpc1_y</th><th>flag_gpc1_y</th><th>ps1_flag_cleaned</th><th>ps1_flag_gaia</th></tr></thead>\n",
       "<thead><tr><th></th><th></th><th>deg</th><th>deg</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
       "<tr><td>0</td><td>808328</td><td>150.01111381735552</td><td>2.192442575241505</td><td>nan</td><td>nan</td><td>-7.143781112972647e-05</td><td>0.08761459589004517</td><td>nan</td><td>nan</td><td>-0.07127027213573456</td><td>0.08438189327716827</td><td>nan</td><td>nan</td><td>-0.11139580607414246</td><td>0.12990745902061462</td><td>27.46224594116211</td><td>1.1039042472839355</td><td>0.038209687918424606</td><td>0.09615727514028549</td><td>30.506141662597656</td><td>2.835378408432007</td><td>0.0027044278103858232</td><td>0.009813959710299969</td><td>30.890501022338867</td><td>3.585667133331299</td><td>0.0016562319360673428</td><td>0.007698666304349899</td><td>nan</td><td>nan</td><td>-0.01976420357823372</td><td>0.02070019394159317</td><td>28.249513626098633</td><td>0.7162254452705383</td><td>0.018439367413520813</td><td>0.01799066923558712</td><td>29.986238479614258</td><td>2.807568311691284</td><td>0.003699777415022254</td><td>0.014778378419578075</td><td>26.66342544555664</td><td>0.5644126534461975</td><td>0.07795049995183945</td><td>0.06130094826221466</td><td>27.29412841796875</td><td>0.4044199585914612</td><td>0.051023390144109726</td><td>0.03690068796277046</td><td>nan</td><td>nan</td><td>-0.009666341356933117</td><td>0.029409224167466164</td><td>nan</td><td>nan</td><td>-0.016005707904696465</td><td>0.03265386074781418</td><td>nan</td><td>nan</td><td>-0.004477129317820072</td><td>0.033755116164684296</td><td>30.77935791015625</td><td>17.64715576171875</td><td>-0.003378424560651183</td><td>0.07055199891328812</td><td>28.28899383544922</td><td>1.8861123323440552</td><td>0.014674542471766472</td><td>0.044117070734500885</td><td>nan</td><td>nan</td><td>-0.01742132008075714</td><td>0.07212226837873459</td><td>nan</td><td>nan</td><td>-0.07815203070640564</td><td>0.04253890737891197</td><td>nan</td><td>nan</td><td>-0.09575548022985458</td><td>0.06838228553533554</td><td>nan</td><td>nan</td><td>-0.05809100717306137</td><td>0.04010551795363426</td><td>nan</td><td>nan</td><td>-0.058432113379240036</td><td>0.05729106441140175</td><td>nan</td><td>nan</td><td>-0.050253842025995255</td><td>0.05198172479867935</td><td>nan</td><td>nan</td><td>-0.0048199910670518875</td><td>0.06900870054960251</td><td>nan</td><td>nan</td><td>-0.040639933198690414</td><td>0.08104649186134338</td><td>nan</td><td>nan</td><td>-0.14550593495368958</td><td>0.058394964784383774</td><td>29.198944091796875</td><td>0.42687657475471497</td><td>0.007772349752485752</td><td>0.004176230635493994</td><td>29.141324996948242</td><td>0.5594386458396912</td><td>0.00826561264693737</td><td>0.005526460241526365</td><td>27.670536041259766</td><td>0.1534588485956192</td><td>0.03130528703331947</td><td>0.006339766085147858</td><td>27.27435302734375</td><td>0.18274720013141632</td><td>0.045279379934072495</td><td>0.010182861238718033</td><td>26.954992294311523</td><td>0.27317044138908386</td><td>0.05998900905251503</td><td>0.02133263647556305</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1331.5963134765625</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.2854795455932617</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.2661628723144531</td><td>0.03759251534938812</td><td>0.038221560418605804</td><td>False</td><td>27.44457244873047</td><td>2.7323288917541504</td><td>0.0022779437713325024</td><td>0.005948804784566164</td><td>False</td><td>30.31981658935547</td><td>3.939972400665283</td><td>0.0015988188097253442</td><td>0.005280133802443743</td><td>False</td><td>30.852203369140625</td><td>5.046829700469971</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.1371543407440186</td><td>0.018205150961875916</td><td>0.01200935523957014</td><td>False</td><td>28.235633850097656</td><td>1.0593161582946777</td><td>0.003677088301628828</td><td>0.009508457966148853</td><td>False</td><td>29.97956085205078</td><td>4.336860656738281</td><td>0.07845660299062729</td><td>0.040785133838653564</td><td>False</td><td>26.670455932617188</td><td>0.8538322448730469</td><td>0.04388825222849846</td><td>0.016347695142030716</td><td>False</td><td>27.130577087402344</td><td>0.7852165102958679</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-3.3032824993133545</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.215052366256714</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-8.185859680175781</td><td>0.0017711553955450654</td><td>0.028787706047296524</td><td>False</td><td>nan</td><td>-22.673542022705078</td><td>0.01755506359040737</td><td>0.03049619309604168</td><td>False</td><td>28.48358917236328</td><td>3.2641220092773438</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-4.494823455810547</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.5909767746925354</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.7753615975379944</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.7495826482772827</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.064534068107605</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.1230671405792236</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-15.544684410095215</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.1652376651763916</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.43573153018951416</td><td>0.0075931609608232975</td><td>0.0029853868763893843</td><td>False</td><td>29.173622131347656</td><td>0.5833865404129028</td><td>0.008007003925740719</td><td>0.004125704988837242</td><td>False</td><td>29.10681915283203</td><td>0.7259326577186584</td><td>0.031030267477035522</td><td>0.004385843873023987</td><td>False</td><td>27.66095733642578</td><td>0.21987701952457428</td><td>0.04469495639204979</td><td>0.007522894535213709</td><td>False</td><td>27.26024627685547</td><td>0.24417075514793396</td><td>0.05997948348522186</td><td>0.015090794302523136</td><td>False</td><td>26.954818725585938</td><td>0.38609766960144043</td><td>False</td><td>False</td><td>False</td><td>False</td><td>False</td><td>0</td><td>False</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td></td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td></td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td></tr>\n",
       "<tr><td>1</td><td>636545</td><td>149.89527000388884</td><td>2.032169659077728</td><td>nan</td><td>nan</td><td>-0.00019395927665755153</td><td>0.08387299627065659</td><td>26.702678680419922</td><td>0.483477920293808</td><td>0.07634279876947403</td><td>0.0907212495803833</td><td>nan</td><td>nan</td><td>-0.11550061404705048</td><td>0.1303538680076599</td><td>26.713773727416992</td><td>0.5712833404541016</td><td>0.07143852114677429</td><td>0.10096349567174911</td><td>28.998620986938477</td><td>0.6130252480506897</td><td>0.009554101154208183</td><td>0.008661236613988876</td><td>30.507349014282227</td><td>2.6825051307678223</td><td>0.00207364559173584</td><td>0.008347542025148869</td><td>28.258895874023438</td><td>0.6437541842460632</td><td>0.01872871071100235</td><td>0.0221642404794693</td><td>29.0689754486084</td><td>1.5852185487747192</td><td>0.008089044131338596</td><td>0.019053833559155464</td><td>28.25533676147461</td><td>0.5220865607261658</td><td>0.01794377900660038</td><td>0.013781138695776463</td><td>27.880739212036133</td><td>1.5495346784591675</td><td>0.024412136524915695</td><td>0.05585750192403793</td><td>27.900243759155273</td><td>0.6372985243797302</td><td>0.019587431102991104</td><td>0.033873263746500015</td><td>27.425079345703125</td><td>0.46982863545417786</td><td>0.037790827453136444</td><td>0.025824597105383873</td><td>nan</td><td>nan</td><td>-0.03646302595734596</td><td>0.029616914689540863</td><td>28.397769927978516</td><td>1.416757583618164</td><td>0.01355768647044897</td><td>0.029698757454752922</td><td>27.975351333618164</td><td>1.1666958332061768</td><td>0.02814156375825405</td><td>0.06282488256692886</td><td>26.64455223083496</td><td>0.3890354633331299</td><td>0.08024081587791443</td><td>0.04217413440346718</td><td>nan</td><td>nan</td><td>-0.04550497978925705</td><td>0.06094759702682495</td><td>26.19605827331543</td><td>0.19919468462467194</td><td>0.11599920690059662</td><td>0.04549963399767876</td><td>26.757490158081055</td><td>0.35855934023857117</td><td>0.07755786180496216</td><td>0.07370378822088242</td><td>nan</td><td>nan</td><td>-0.0398276261985302</td><td>0.04040583223104477</td><td>26.997886657714844</td><td>0.482620507478714</td><td>0.05787275731563568</td><td>0.06106195226311684</td><td>26.921485900878906</td><td>0.4240541160106659</td><td>0.05784732848405838</td><td>0.05283138528466225</td><td>26.83539581298828</td><td>0.505883514881134</td><td>0.05826892331242561</td><td>0.0764487162232399</td><td>27.50861930847168</td><td>1.9769433736801147</td><td>0.036203332245349884</td><td>0.08039114624261856</td><td>nan</td><td>nan</td><td>-0.02985192835330963</td><td>0.053058184683322906</td><td>28.09859275817871</td><td>0.1733924299478531</td><td>0.02046932838857174</td><td>0.0047391196712851524</td><td>28.003780364990234</td><td>0.1954907923936844</td><td>0.022923482581973076</td><td>0.005598369985818863</td><td>27.829713821411133</td><td>0.1813306361436844</td><td>0.026932377368211746</td><td>0.006576915737241507</td><td>28.138015747070312</td><td>0.413509726524353</td><td>0.019762752577662468</td><td>0.010572525672614574</td><td>27.828920364379883</td><td>0.6169399619102478</td><td>0.0266637671738863</td><td>0.021928369998931885</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-469.5003356933594</td><td>0.07567077875137329</td><td>0.033696167171001434</td><td>False</td><td>26.693077087402344</td><td>1.2902244329452515</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.2253607511520386</td><td>0.07490145415067673</td><td>0.03941100463271141</td><td>False</td><td>26.765174865722656</td><td>1.534462332725525</td><td>0.009131691418588161</td><td>0.0051559098064899445</td><td>False</td><td>28.94952392578125</td><td>0.9842702150344849</td><td>0.002275414066389203</td><td>0.005621816962957382</td><td>False</td><td>30.60816192626953</td><td>4.370674133300781</td><td>0.018048519268631935</td><td>0.010701319202780724</td><td>False</td><td>28.218734741210938</td><td>1.2848998308181763</td><td>0.008558728732168674</td><td>0.012496089562773705</td><td>False</td><td>29.13025665283203</td><td>2.5574636459350586</td><td>0.018107770010828972</td><td>0.008707292377948761</td><td>False</td><td>28.265220642089844</td><td>0.8338644504547119</td><td>0.025568446144461632</td><td>0.03649062663316727</td><td>False</td><td>27.930984497070312</td><td>2.4842770099639893</td><td>0.025113215669989586</td><td>0.014740795828402042</td><td>False</td><td>28.170059204101562</td><td>1.8776034116744995</td><td>0.038901668041944504</td><td>0.016833847388625145</td><td>False</td><td>27.45653533935547</td><td>0.7419445514678955</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.8818839192390442</td><td>0.01588151603937149</td><td>0.020723504945635796</td><td>False</td><td>28.569541931152344</td><td>2.378356695175171</td><td>0.02343469113111496</td><td>0.02518213540315628</td><td>False</td><td>27.776634216308594</td><td>2.423861026763916</td><td>0.07983232289552689</td><td>0.028605112805962563</td><td>False</td><td>26.639015197753906</td><td>0.570656955242157</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.4541926383972168</td><td>0.1206636130809784</td><td>0.022137559950351715</td><td>False</td><td>26.238861083984375</td><td>0.4258701205253601</td><td>0.07194551080465317</td><td>0.023759670555591583</td><td>False</td><td>26.675941467285156</td><td>1.0317827463150024</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.1014986038208008</td><td>0.05765608698129654</td><td>0.025628702715039253</td><td>False</td><td>26.993812561035156</td><td>1.145567774772644</td><td>0.06185939535498619</td><td>0.024160318076610565</td><td>False</td><td>26.994293212890625</td><td>0.9915919899940491</td><td>0.06696400791406631</td><td>0.031200936064124107</td><td>False</td><td>26.986404418945312</td><td>1.4244836568832397</td><td>0.036020684987306595</td><td>0.0655876100063324</td><td>False</td><td>27.503128051757812</td><td>2.410926580429077</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.9297643899917603</td><td>0.020920054987072945</td><td>0.003340939525514841</td><td>False</td><td>28.12224578857422</td><td>0.2513728737831116</td><td>0.02282903902232647</td><td>0.004110452253371477</td><td>False</td><td>27.999298095703125</td><td>0.26515835523605347</td><td>0.02679874189198017</td><td>0.004475703462958336</td><td>False</td><td>27.824317932128906</td><td>0.2651379406452179</td><td>0.020174061879515648</td><td>0.007683423813432455</td><td>False</td><td>28.160385131835938</td><td>0.5808387994766235</td><td>0.02681831642985344</td><td>0.015238777734339237</td><td>False</td><td>27.83519744873047</td><td>0.8929129838943481</td><td>False</td><td>False</td><td>False</td><td>False</td><td>False</td><td>0</td><td>False</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td></td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td></td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td></tr>\n",
       "<tr><td>2</td><td>693307</td><td>149.94639760786296</td><td>2.0850229664134954</td><td>nan</td><td>nan</td><td>-0.00020265052444301546</td><td>0.08110155910253525</td><td>nan</td><td>nan</td><td>-0.042259056121110916</td><td>0.08198080211877823</td><td>nan</td><td>nan</td><td>-0.09431750327348709</td><td>0.11662588268518448</td><td>26.28765106201172</td><td>0.34328436851501465</td><td>0.10971668362617493</td><td>0.08878953754901886</td><td>29.43044090270996</td><td>1.0311198234558105</td><td>0.00590119743719697</td><td>0.009672543965280056</td><td>28.24109649658203</td><td>0.2901470363140106</td><td>0.018141893669962883</td><td>0.007195715792477131</td><td>27.9847412109375</td><td>0.43011388182640076</td><td>0.024442939087748528</td><td>0.018847240135073662</td><td>26.582990646362305</td><td>0.15866291522979736</td><td>0.08398737013339996</td><td>0.018617771565914154</td><td>26.880693435668945</td><td>0.16429567337036133</td><td>0.06403210014104843</td><td>0.01519892830401659</td><td>26.467557907104492</td><td>0.42678067088127136</td><td>0.0896851047873497</td><td>0.05586421489715576</td><td>28.947036743164062</td><td>1.6561305522918701</td><td>0.006037413142621517</td><td>0.03318022936582565</td><td>26.78464126586914</td><td>0.3026154041290283</td><td>0.06896522641181946</td><td>0.02966099977493286</td><td>nan</td><td>nan</td><td>-0.002368312329053879</td><td>0.033935703337192535</td><td>27.536035537719727</td><td>0.7541347146034241</td><td>0.03319007530808449</td><td>0.034534163773059845</td><td>26.76556968688965</td><td>0.3902173936367035</td><td>0.06745205819606781</td><td>0.06330753862857819</td><td>31.46420669555664</td><td>31.736263275146484</td><td>0.00026704720221459866</td><td>0.04012002795934677</td><td>30.934616088867188</td><td>21.959352493286133</td><td>0.0007931957370601594</td><td>0.06378444284200668</td><td>28.84283447265625</td><td>1.962883710861206</td><td>0.018040731549263</td><td>0.03871522471308708</td><td>26.56549835205078</td><td>0.2755134403705597</td><td>0.09436947107315063</td><td>0.06681179255247116</td><td>28.29936408996582</td><td>1.3396939039230347</td><td>0.01679317094385624</td><td>0.03451550379395485</td><td>27.21335792541504</td><td>0.6227930784225464</td><td>0.04361340031027794</td><td>0.06380973011255264</td><td>26.548641204833984</td><td>0.2747805714607239</td><td>0.08169436454772949</td><td>0.04768110811710358</td><td>26.552366256713867</td><td>0.3462561070919037</td><td>0.087849922478199</td><td>0.06712005287408829</td><td>28.660037994384766</td><td>5.349228382110596</td><td>0.013567266054451466</td><td>0.07443264871835709</td><td>27.410268783569336</td><td>0.6435453295707703</td><td>0.0370185524225235</td><td>0.053212642669677734</td><td>28.002946853637695</td><td>0.15900525450706482</td><td>0.0223227571696043</td><td>0.004697836935520172</td><td>27.475189208984375</td><td>0.1241111159324646</td><td>0.03705143928527832</td><td>0.0057213520631194115</td><td>26.934730529785156</td><td>0.08437356352806091</td><td>0.06104639917612076</td><td>0.00690304534509778</td><td>26.382482528686523</td><td>0.08812680840492249</td><td>0.1008562296628952</td><td>0.01122411247342825</td><td>26.572967529296875</td><td>0.1931566596031189</td><td>0.08462630957365036</td><td>0.021581564098596573</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-434.5160217285156</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.1062827110290527</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.3425391912460327</td><td>0.11090203374624252</td><td>0.03506462648510933</td><td>False</td><td>26.29932403564453</td><td>0.8786449432373047</td><td>0.006135128904134035</td><td>0.005826510488986969</td><td>False</td><td>29.47265625</td><td>1.7796101570129395</td><td>0.018346838653087616</td><td>0.004902923014014959</td><td>False</td><td>28.2532958984375</td><td>0.4306412935256958</td><td>0.02323288656771183</td><td>0.009203696623444557</td><td>False</td><td>27.92961883544922</td><td>0.8371796011924744</td><td>0.08448966592550278</td><td>0.01234680786728859</td><td>False</td><td>26.58946990966797</td><td>0.24067892134189606</td><td>0.06422773003578186</td><td>0.00971906166523695</td><td>False</td><td>26.884002685546875</td><td>0.2577148973941803</td><td>0.09396728873252869</td><td>0.03693661466240883</td><td>False</td><td>26.51819610595703</td><td>0.6762973666191101</td><td>0.00957601796835661</td><td>0.014606804586946964</td><td>False</td><td>29.4478759765625</td><td>5.966955184936523</td><td>0.07016866654157639</td><td>0.019557347521185875</td><td>False</td><td>26.803428649902344</td><td>0.46696025133132935</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-15.557584762573242</td><td>0.03512251749634743</td><td>0.0243955310434103</td><td>False</td><td>27.59748077392578</td><td>1.1297049522399902</td><td>0.07141216099262238</td><td>0.025665780529379845</td><td>False</td><td>26.8275146484375</td><td>1.0190242528915405</td><td>0.0009425785974599421</td><td>0.027551740407943726</td><td>False</td><td>32.833526611328125</td><td>163.11636352539062</td><td>0.0015351591864600778</td><td>0.031049072742462158</td><td>False</td><td>31.65155029296875</td><td>87.3089370727539</td><td>0.010540622286498547</td><td>0.019056208431720734</td><td>False</td><td>28.259368896484375</td><td>2.3299784660339355</td><td>0.0858619436621666</td><td>0.021788090467453003</td><td>False</td><td>26.462928771972656</td><td>0.7686806321144104</td><td>0.01738819107413292</td><td>0.021455351263284683</td><td>False</td><td>28.337173461914062</td><td>2.2315456867218018</td><td>0.04727775976061821</td><td>0.027119165286421776</td><td>False</td><td>27.300949096679688</td><td>1.588514804840088</td><td>0.08720535784959793</td><td>0.022070128470659256</td><td>False</td><td>26.61951446533203</td><td>0.6336924433708191</td><td>0.08690675348043442</td><td>0.02771575003862381</td><td>False</td><td>26.5406494140625</td><td>0.829535961151123</td><td>0.012473388575017452</td><td>0.061454158276319504</td><td>False</td><td>28.568771362304688</td><td>5.956558704376221</td><td>0.03943596035242081</td><td>0.023374764248728752</td><td>False</td><td>27.47895050048828</td><td>1.5607008934020996</td><td>0.022846564650535583</td><td>0.003345862263813615</td><td>False</td><td>28.02812957763672</td><td>0.22849377989768982</td><td>0.037147052586078644</td><td>0.0042463005520403385</td><td>False</td><td>27.477989196777344</td><td>0.16765552759170532</td><td>0.061109334230422974</td><td>0.004748862702399492</td><td>False</td><td>26.93585205078125</td><td>0.12277358770370483</td><td>0.1016264259815216</td><td>0.008248792961239815</td><td>False</td><td>26.3907470703125</td><td>0.12082966417074203</td><td>0.08527325838804245</td><td>0.015170441009104252</td><td>False</td><td>26.58123779296875</td><td>0.276886522769928</td><td>False</td><td>False</td><td>False</td><td>False</td><td>False</td><td>0</td><td>False</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td></td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td></td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td></tr>\n",
       "<tr><td>3</td><td>729507</td><td>150.16308167070508</td><td>2.12045061974924</td><td>31.21757698059082</td><td>23.256677627563477</td><td>-0.00023533633793704212</td><td>0.06064453348517418</td><td>26.743955612182617</td><td>0.13676214218139648</td><td>0.07346689701080322</td><td>0.02586330659687519</td><td>26.86260223388672</td><td>0.26962515711784363</td><td>0.06689852476119995</td><td>0.042007725685834885</td><td>27.543190002441406</td><td>0.3561824858188629</td><td>0.03478781878948212</td><td>0.030688663944602013</td><td>28.29942512512207</td><td>0.4257071912288666</td><td>0.017450381070375443</td><td>0.011416430585086346</td><td>28.42806625366211</td><td>0.3817487061023712</td><td>0.015400724485516548</td><td>0.008037821389734745</td><td>29.178539276123047</td><td>1.4329144954681396</td><td>0.0073609985411167145</td><td>0.02108178101480007</td><td>27.41952133178711</td><td>0.3648669123649597</td><td>0.03868308290839195</td><td>0.019980067387223244</td><td>28.07333755493164</td><td>0.4826606512069702</td><td>0.021472400054335594</td><td>0.015018142759799957</td><td>nan</td><td>nan</td><td>-0.07492247223854065</td><td>0.06191673502326012</td><td>nan</td><td>nan</td><td>-0.07301140576601028</td><td>0.03776438906788826</td><td>26.77779197692871</td><td>0.34122416377067566</td><td>0.06972229480743408</td><td>0.03396551311016083</td><td>27.361221313476562</td><td>0.5518125891685486</td><td>0.04205494374036789</td><td>0.036515939980745316</td><td>26.625202178955078</td><td>0.35605907440185547</td><td>0.08126847445964813</td><td>0.03807372972369194</td><td>27.481477737426758</td><td>0.9407538175582886</td><td>0.04339492321014404</td><td>0.07961063086986542</td><td>nan</td><td>nan</td><td>-0.030473915860056877</td><td>0.045932210981845856</td><td>26.820446014404297</td><td>0.5397464632987976</td><td>0.05889482423663139</td><td>0.06992612779140472</td><td>27.477628707885742</td><td>0.6431403160095215</td><td>0.036663759499788284</td><td>0.04498744010925293</td><td>28.801538467407227</td><td>2.196971893310547</td><td>0.020358014851808548</td><td>0.06851669400930405</td><td>nan</td><td>nan</td><td>0.0006231726729311049</td><td>0.03953983634710312</td><td>26.80876350402832</td><td>0.3869730830192566</td><td>0.06283078342676163</td><td>0.05811654403805733</td><td>nan</td><td>nan</td><td>-0.0234389565885067</td><td>0.057053208351135254</td><td>27.784912109375</td><td>1.2708497047424316</td><td>0.03057662770152092</td><td>0.07984539866447449</td><td>26.91005516052246</td><td>1.0663167238235474</td><td>0.06409043818712234</td><td>0.07505632936954498</td><td>26.525859832763672</td><td>0.38880595564842224</td><td>0.09968823939561844</td><td>0.07321324944496155</td><td>28.22821044921875</td><td>0.18851785361766815</td><td>0.018686436116695404</td><td>0.0045692590065300465</td><td>28.953819274902344</td><td>0.44623881578445435</td><td>0.009618081152439117</td><td>0.005314015783369541</td><td>27.743038177490234</td><td>0.16655485332012177</td><td>0.028883444145321846</td><td>0.006521124392747879</td><td>28.027772903442383</td><td>0.3607248365879059</td><td>0.02203148417174816</td><td>0.010179160162806511</td><td>28.411998748779297</td><td>0.9881207346916199</td><td>0.014871041290462017</td><td>0.020462483167648315</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.0011829582508653402</td><td>0.025339193642139435</td><td>False</td><td>nan</td><td>-279.7866516113281</td><td>0.07284800708293915</td><td>0.009176123887300491</td><td>False</td><td>26.734771728515625</td><td>0.38222283124923706</td><td>0.0653069019317627</td><td>0.016217920929193497</td><td>False</td><td>26.836463928222656</td><td>0.681768536567688</td><td>0.034891821444034576</td><td>0.011446477845311165</td><td>False</td><td>27.546432495117188</td><td>0.9578006267547607</td><td>0.01738719828426838</td><td>0.006817360874265432</td><td>False</td><td>28.295486450195312</td><td>0.7103129625320435</td><td>0.015444476157426834</td><td>0.005430332850664854</td><td>False</td><td>28.43114471435547</td><td>0.566658616065979</td><td>0.007737205363810062</td><td>0.0102112777531147</td><td>False</td><td>29.23265838623047</td><td>3.1095309257507324</td><td>0.03910130262374878</td><td>0.013140182010829449</td><td>False</td><td>27.431198120117188</td><td>0.5607898831367493</td><td>0.02141236513853073</td><td>0.009518800303339958</td><td>False</td><td>28.070297241210938</td><td>0.7593813538551331</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.8972639441490173</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.5615857243537903</td><td>0.07061275839805603</td><td>0.022192111238837242</td><td>False</td><td>26.79157257080078</td><td>0.5289210081100464</td><td>0.041258305311203</td><td>0.020969046279788017</td><td>False</td><td>27.34046173095703</td><td>0.9427351951599121</td><td>0.08126784861087799</td><td>0.026651185005903244</td><td>False</td><td>26.625198364257812</td><td>0.5086600184440613</td><td>0.03693248704075813</td><td>0.03200075402855873</td><td>False</td><td>27.30640411376953</td><td>1.9918490648269653</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.6364901065826416</td><td>0.06789244711399078</td><td>0.033751022070646286</td><td>False</td><td>26.974807739257812</td><td>1.289100170135498</td><td>0.037063658237457275</td><td>0.021954810246825218</td><td>False</td><td>27.489410400390625</td><td>1.3322280645370483</td><td>0.010949249379336834</td><td>0.022155653685331345</td><td>False</td><td>28.12816619873047</td><td>3.6541407108306885</td><td>nan</td><td>nan</td><td>False</td><td>31.913475036621094</td><td>68.8891372680664</td><td>0.06862691044807434</td><td>0.024459687992930412</td><td>False</td><td>26.904571533203125</td><td>1.0042725801467896</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.6428110599517822</td><td>0.027927683666348457</td><td>0.03268923610448837</td><td>False</td><td>27.68653106689453</td><td>2.8352057933807373</td><td>0.0625140443444252</td><td>0.06139592453837395</td><td>False</td><td>26.883018493652344</td><td>1.2715059518814087</td><td>0.08905453234910965</td><td>0.03189074248075485</td><td>False</td><td>26.40338897705078</td><td>0.7973886728286743</td><td>0.018565893173217773</td><td>0.0032236212864518166</td><td>False</td><td>28.22118377685547</td><td>0.2654872238636017</td><td>0.009516379795968533</td><td>0.003911242820322514</td><td>False</td><td>28.942276000976562</td><td>0.5998721122741699</td><td>0.029025837779045105</td><td>0.00445264158770442</td><td>False</td><td>27.748374938964844</td><td>0.2451307773590088</td><td>0.022330105304718018</td><td>0.007418951019644737</td><td>False</td><td>28.042388916015625</td><td>0.5016403794288635</td><td>0.015674743801355362</td><td>0.014265471138060093</td><td>False</td><td>28.469154357910156</td><td>1.493967890739441</td><td>False</td><td>False</td><td>False</td><td>False</td><td>False</td><td>0</td><td>False</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td></td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td></td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td></tr>\n",
       "<tr><td>4</td><td>582329</td><td>149.89645559700196</td><td>1.9807287648173821</td><td>nan</td><td>nan</td><td>-0.0003477936261333525</td><td>0.08000727742910385</td><td>25.88913345336914</td><td>0.2162204086780548</td><td>0.1734151989221573</td><td>0.08020050078630447</td><td>25.71501350402832</td><td>0.3039874732494354</td><td>0.19446423649787903</td><td>0.12092693150043488</td><td>nan</td><td>nan</td><td>-0.06501373648643494</td><td>0.09174447506666183</td><td>27.140758514404297</td><td>0.1280243992805481</td><td>0.04940184950828552</td><td>0.009350482374429703</td><td>27.04479217529297</td><td>0.11758483201265335</td><td>0.053356997668743134</td><td>0.008309649303555489</td><td>27.082496643066406</td><td>0.22265492379665375</td><td>0.04707759618759155</td><td>0.021150486543774605</td><td>27.094606399536133</td><td>0.2884660065174103</td><td>0.05027208477258682</td><td>0.02001536451280117</td><td>26.80643653869629</td><td>0.15652333199977875</td><td>0.06768909096717834</td><td>0.01466301642358303</td><td>26.98676872253418</td><td>0.7788417935371399</td><td>0.05909017473459244</td><td>0.05971342697739601</td><td>26.850011825561523</td><td>0.2765355408191681</td><td>0.07879827171564102</td><td>0.0361427366733551</td><td>26.978179931640625</td><td>0.39971256256103516</td><td>0.05890452489256859</td><td>0.030944468453526497</td><td>29.900434494018555</td><td>5.450168609619141</td><td>0.006059904582798481</td><td>0.03259895741939545</td><td>27.124448776245117</td><td>0.5388506650924683</td><td>0.04745576158165932</td><td>0.03409246355295181</td><td>26.277339935302734</td><td>0.2722172141075134</td><td>0.06562226265668869</td><td>0.06541016697883606</td><td>27.540008544921875</td><td>1.01560640335083</td><td>0.03484947234392166</td><td>0.044949136674404144</td><td>26.943347930908203</td><td>0.644854724407196</td><td>0.050271522253751755</td><td>0.06997213512659073</td><td>27.579687118530273</td><td>0.7127448916435242</td><td>0.05755537748336792</td><td>0.04259417578577995</td><td>26.83843421936035</td><td>0.3872024118900299</td><td>0.09838972240686417</td><td>0.06907016038894653</td><td>30.07237434387207</td><td>9.278518676757812</td><td>0.010788902640342712</td><td>0.04415065050125122</td><td>27.830398559570312</td><td>1.0970335006713867</td><td>0.03596822917461395</td><td>0.060237109661102295</td><td>27.11537742614746</td><td>0.5330551862716675</td><td>0.05434141680598259</td><td>0.05189511552453041</td><td>26.016239166259766</td><td>0.24205726385116577</td><td>0.13035255670547485</td><td>0.07267279177904129</td><td>25.818950653076172</td><td>0.4190146028995514</td><td>0.16314806044101715</td><td>0.07547979056835175</td><td>26.751514434814453</td><td>0.3838454484939575</td><td>0.036701709032058716</td><td>0.05502429977059364</td><td>26.629018783569336</td><td>0.054385267198085785</td><td>0.07757662981748581</td><td>0.005468935705721378</td><td>26.674110412597656</td><td>0.06791653484106064</td><td>0.07624639570713043</td><td>0.006270979065448046</td><td>26.772314071655273</td><td>0.07691343873739243</td><td>0.06915678828954697</td><td>0.006954967975616455</td><td>26.79349708557129</td><td>0.131808340549469</td><td>0.06975837796926498</td><td>0.010923690162599087</td><td>26.63821029663086</td><td>0.22396542131900787</td><td>0.07830074429512024</td><td>0.022299248725175858</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-249.7653350830078</td><td>0.16008353233337402</td><td>0.03188005089759827</td><td>False</td><td>25.802284240722656</td><td>0.5021277666091919</td><td>0.18792927265167236</td><td>0.052616968750953674</td><td>False</td><td>25.677902221679688</td><td>0.6751613616943359</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.5321422815322876</td><td>0.050547100603580475</td><td>0.005960253067314625</td><td>False</td><td>27.16564178466797</td><td>0.20550155639648438</td><td>0.05521830543875694</td><td>0.005980122368782759</td><td>False</td><td>27.08202362060547</td><td>0.16908909380435944</td><td>0.05333363637328148</td><td>0.010937276296317577</td><td>False</td><td>27.21796417236328</td><td>0.4877871870994568</td><td>0.05274210497736931</td><td>0.014012891799211502</td><td>False</td><td>27.146682739257812</td><td>0.43227577209472656</td><td>0.06877414882183075</td><td>0.009914709255099297</td><td>False</td><td>26.823707580566406</td><td>0.23519544303417206</td><td>0.058249495923519135</td><td>0.041784681379795074</td><td>False</td><td>26.971214294433594</td><td>1.0971879959106445</td><td>0.06606857478618622</td><td>0.016827575862407684</td><td>False</td><td>26.658706665039062</td><td>0.4979992210865021</td><td>0.05871212109923363</td><td>0.02161480113863945</td><td>False</td><td>26.974632263183594</td><td>0.5703726410865784</td><td>0.003979475703090429</td><td>0.019976137205958366</td><td>False</td><td>29.443832397460938</td><td>5.840663909912109</td><td>0.0513121634721756</td><td>0.02546621672809124</td><td>False</td><td>27.20928192138672</td><td>0.7799984216690063</td><td>0.11196020245552063</td><td>0.028070809319615364</td><td>False</td><td>26.857376098632812</td><td>1.082227110862732</td><td>0.0349942222237587</td><td>0.03273387625813484</td><td>False</td><td>27.544509887695312</td><td>1.4003914594650269</td><td>0.06062621995806694</td><td>0.036007922142744064</td><td>False</td><td>27.146697998046875</td><td>1.5112189054489136</td><td>0.03373842313885689</td><td>0.022148001939058304</td><td>False</td><td>26.999786376953125</td><td>0.8035050630569458</td><td>0.06677685678005219</td><td>0.023814402520656586</td><td>False</td><td>26.417625427246094</td><td>0.7621932029724121</td><td>0.003396641695871949</td><td>0.029027126729488373</td><td>False</td><td>28.81755828857422</td><td>4.443079948425293</td><td>0.026781829074025154</td><td>0.027060499414801598</td><td>False</td><td>27.51020050048828</td><td>1.818315863609314</td><td>0.05174269899725914</td><td>0.025403697043657303</td><td>False</td><td>27.062171936035156</td><td>1.0368592739105225</td><td>0.1423981636762619</td><td>0.031746670603752136</td><td>False</td><td>26.112205505371094</td><td>0.6053082346916199</td><td>0.17077310383319855</td><td>0.06590589880943298</td><td>False</td><td>25.868545532226562</td><td>0.5023114085197449</td><td>0.07234259694814682</td><td>0.02557561919093132</td><td>False</td><td>27.48828887939453</td><td>1.6277680397033691</td><td>0.08098272979259491</td><td>0.004056480713188648</td><td>False</td><td>26.675674438476562</td><td>0.07654136419296265</td><td>0.0776882916688919</td><td>0.004859669599682093</td><td>False</td><td>26.69445037841797</td><td>0.08929771184921265</td><td>0.07096990197896957</td><td>0.005027500446885824</td><td>False</td><td>26.8004150390625</td><td>0.109190434217453</td><td>0.06959864497184753</td><td>0.008449273183941841</td><td>False</td><td>26.79100799560547</td><td>0.17001894116401672</td><td>0.0802999958395958</td><td>0.0165642648935318</td><td>False</td><td>26.66558837890625</td><td>0.3092065155506134</td><td>False</td><td>False</td><td>False</td><td>False</td><td>False</td><td>0</td><td>False</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td></td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td></td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td></tr>\n",
       "<tr><td>5</td><td>586882</td><td>150.15502717324222</td><td>1.9851157898400915</td><td>nan</td><td>nan</td><td>-0.0002843351976480335</td><td>0.04760093614459038</td><td>26.55797004699707</td><td>0.08814636617898941</td><td>0.08832202851772308</td><td>0.019819585606455803</td><td>26.791549682617188</td><td>0.19402272999286652</td><td>0.06683336198329926</td><td>0.032331109046936035</td><td>26.331649780273438</td><td>0.08897554129362106</td><td>0.10724174231290817</td><td>0.023440582677721977</td><td>28.2054500579834</td><td>0.344043493270874</td><td>0.019067905843257904</td><td>0.010077675804495811</td><td>27.882104873657227</td><td>0.15818266570568085</td><td>0.02565695345401764</td><td>0.005516369827091694</td><td>27.821367263793945</td><td>0.29077228903770447</td><td>0.02752111852169037</td><td>0.014959830790758133</td><td>27.499385833740234</td><td>0.2663919925689697</td><td>0.03730271756649017</td><td>0.013573993928730488</td><td>27.50916862487793</td><td>0.19724182784557343</td><td>0.035942573100328445</td><td>0.010337547399103642</td><td>26.339441299438477</td><td>0.2882401943206787</td><td>0.10134827345609665</td><td>0.04290420934557915</td><td>nan</td><td>nan</td><td>-0.005650951527059078</td><td>0.024530578404664993</td><td>27.645118713378906</td><td>0.4756433665752411</td><td>0.030956322327256203</td><td>0.02132183127105236</td><td>30.798372268676758</td><td>8.422109603881836</td><td>0.0011392614105716348</td><td>0.023554464802145958</td><td>28.35247230529785</td><td>1.1481901407241821</td><td>0.01821877248585224</td><td>0.025074027478694916</td><td>25.976219177246094</td><td>0.13940078020095825</td><td>0.1450044959783554</td><td>0.04727284610271454</td><td>27.03001594543457</td><td>0.4375876188278198</td><td>0.0572999007999897</td><td>0.03316342458128929</td><td>28.10186004638672</td><td>1.26847505569458</td><td>0.027499228715896606</td><td>0.05058451369404793</td><td>27.47739601135254</td><td>0.4287927746772766</td><td>0.03606316074728966</td><td>0.030046828091144562</td><td>nan</td><td>nan</td><td>-0.043442998081445694</td><td>0.04948639124631882</td><td>27.184104919433594</td><td>0.4081740379333496</td><td>0.04740104451775551</td><td>0.029691128060221672</td><td>26.892690658569336</td><td>0.29523688554763794</td><td>0.07306637614965439</td><td>0.04110123589634895</td><td>nan</td><td>nan</td><td>-0.0004877912870142609</td><td>0.039247818291187286</td><td>27.05703353881836</td><td>0.41264280676841736</td><td>0.07388965785503387</td><td>0.05078616365790367</td><td>27.80681610107422</td><td>1.715806007385254</td><td>0.024444719776511192</td><td>0.052958641201257706</td><td>nan</td><td>nan</td><td>-0.049937713891267776</td><td>0.04211493209004402</td><td>27.586925506591797</td><td>0.101016104221344</td><td>0.033846113830804825</td><td>0.004426315426826477</td><td>27.55866050720215</td><td>0.11749368906021118</td><td>0.03402178734540939</td><td>0.005052879452705383</td><td>27.253286361694336</td><td>0.09476511925458908</td><td>0.0455339215695858</td><td>0.005831390153616667</td><td>26.83880043029785</td><td>0.11246274411678314</td><td>0.06672920286655426</td><td>0.009499418549239635</td><td>26.94331169128418</td><td>0.23554547131061554</td><td>0.0614045187830925</td><td>0.018901444971561432</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-181.76454162597656</td><td>0.08645934611558914</td><td>0.007019271608442068</td><td>False</td><td>26.534828186035156</td><td>0.2436407208442688</td><td>0.06972362846136093</td><td>0.012459718622267246</td><td>False</td><td>26.83751678466797</td><td>0.5252324938774109</td><td>0.1064976304769516</td><td>0.008727427572011948</td><td>False</td><td>26.32408905029297</td><td>0.2373170107603073</td><td>0.018959185108542442</td><td>0.00600770628079772</td><td>False</td><td>28.199241638183594</td><td>0.573827862739563</td><td>0.025536295026540756</td><td>0.0037204239051789045</td><td>False</td><td>27.876991271972656</td><td>0.23343856632709503</td><td>0.027005532756447792</td><td>0.007232383359223604</td><td>False</td><td>27.80083465576172</td><td>0.5901805758476257</td><td>0.03632833808660507</td><td>0.008913378231227398</td><td>False</td><td>27.47064971923828</td><td>0.39508581161499023</td><td>0.036002494394779205</td><td>0.0065404451452195644</td><td>False</td><td>27.51097869873047</td><td>0.31227171421051025</td><td>0.10573611408472061</td><td>0.02807072177529335</td><td>False</td><td>26.385459899902344</td><td>0.45962944626808167</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-4.713141441345215</td><td>0.03176524117588997</td><td>0.013915836811065674</td><td>False</td><td>27.673126220703125</td><td>0.7478241324424744</td><td>0.0017404082464054227</td><td>0.01350043248385191</td><td>False</td><td>31.258445739746094</td><td>22.447818756103516</td><td>0.01655811257660389</td><td>0.01751057244837284</td><td>False</td><td>28.248703002929688</td><td>1.4942708015441895</td><td>0.14774483442306519</td><td>0.018969381228089333</td><td>False</td><td>25.996551513671875</td><td>0.3539603352546692</td><td>0.055974919348955154</td><td>0.022559743374586105</td><td>False</td><td>27.004615783691406</td><td>0.6283907890319824</td><td>0.0208571907132864</td><td>0.024367637932300568</td><td>False</td><td>27.80170440673828</td><td>1.9971991777420044</td><td>0.037071593105793</td><td>0.014640786685049534</td><td>False</td><td>27.507339477539062</td><td>0.9046053886413574</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.2367738485336304</td><td>0.04856886714696884</td><td>0.018259087577462196</td><td>False</td><td>27.210533142089844</td><td>0.6800848245620728</td><td>0.06352192908525467</td><td>0.017273087054491043</td><td>False</td><td>26.740707397460938</td><td>0.6107473969459534</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-87.3586196899414</td><td>0.05459921807050705</td><td>0.020750872790813446</td><td>False</td><td>26.728538513183594</td><td>0.7462528944015503</td><td>0.027369918301701546</td><td>0.04325311258435249</td><td>False</td><td>27.929534912109375</td><td>2.3522098064422607</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.9156546592712402</td><td>0.033514246344566345</td><td>0.003118141321465373</td><td>False</td><td>27.57623291015625</td><td>0.14199002087116241</td><td>0.03439820185303688</td><td>0.0037224250845611095</td><td>False</td><td>27.57061004638672</td><td>0.16125236451625824</td><td>0.045570649206638336</td><td>0.003977492917329073</td><td>False</td><td>27.254165649414062</td><td>0.13904690742492676</td><td>0.06675435602664948</td><td>0.0069145504385232925</td><td>False</td><td>26.839210510253906</td><td>0.15456295013427734</td><td>0.06062828004360199</td><td>0.013153026811778545</td><td>False</td><td>26.92949676513672</td><td>0.3342096209526062</td><td>False</td><td>False</td><td>False</td><td>False</td><td>False</td><td>0</td><td>False</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td></td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td></td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td></tr>\n",
       "<tr><td>6</td><td>808973</td><td>150.02193322642515</td><td>2.1929025827698063</td><td>27.004928588867188</td><td>0.8599029183387756</td><td>-0.0005954062798991799</td><td>0.08707556128501892</td><td>27.459041595458984</td><td>1.099064588546753</td><td>0.07079973816871643</td><td>0.08197718858718872</td><td>26.680713653564453</td><td>0.9116176962852478</td><td>0.11163880676031113</td><td>0.1273449957370758</td><td>26.574323654174805</td><td>0.5852372646331787</td><td>0.036993615329265594</td><td>0.09366396814584732</td><td>27.019987106323242</td><td>0.13862469792366028</td><td>0.05478251725435257</td><td>0.009660725481808186</td><td>27.213560104370117</td><td>0.14931267499923706</td><td>0.044260937720537186</td><td>0.0077105117961764336</td><td>26.9102725982666</td><td>0.21754147112369537</td><td>0.0642884224653244</td><td>0.0207209512591362</td><td>26.447010040283203</td><td>0.16144172847270966</td><td>0.09936405718326569</td><td>0.017335837706923485</td><td>26.572437286376953</td><td>0.1488896906375885</td><td>0.072935551404953</td><td>0.014778063632547855</td><td>28.31555938720703</td><td>3.1807620525360107</td><td>-0.016881003975868225</td><td>0.06129147857427597</td><td>25.885087966918945</td><td>0.13410286605358124</td><td>0.11567454040050507</td><td>0.036415331065654755</td><td>28.301074981689453</td><td>1.4855780601501465</td><td>0.006296056788414717</td><td>0.02908072993159294</td><td>26.783611297607422</td><td>0.36326488852500916</td><td>0.05570410192012787</td><td>0.032865218818187714</td><td>26.32280731201172</td><td>0.2970968782901764</td><td>0.08861599862575531</td><td>0.033613648265600204</td><td>27.91256332397461</td><td>1.5010251998901367</td><td>0.08914003521203995</td><td>0.06838389486074448</td><td>26.800495147705078</td><td>0.5890502333641052</td><td>0.07803957164287567</td><td>0.044136255979537964</td><td>25.756511688232422</td><td>0.2517938017845154</td><td>0.13106366991996765</td><td>0.0695982351899147</td><td>26.13567543029785</td><td>0.236636221408844</td><td>0.11625039577484131</td><td>0.04568250849843025</td><td>26.148508071899414</td><td>0.24066588282585144</td><td>0.06594658643007278</td><td>0.06911119818687439</td><td>26.634410858154297</td><td>0.41624119877815247</td><td>0.051417265087366104</td><td>0.04013397917151451</td><td>nan</td><td>nan</td><td>-0.04714474454522133</td><td>0.06381360441446304</td><td>26.271787643432617</td><td>0.31622961163520813</td><td>0.00673493929207325</td><td>0.05714704841375351</td><td>25.38873863220215</td><td>0.15138225257396698</td><td>0.1857180893421173</td><td>0.06934773176908493</td><td>26.199569702148438</td><td>0.7364407777786255</td><td>0.12726522982120514</td><td>0.07988959550857544</td><td>nan</td><td>nan</td><td>0.08306480199098587</td><td>0.058764997869729996</td><td>26.971689224243164</td><td>0.075400710105896</td><td>0.05721745640039444</td><td>0.004953335039317608</td><td>27.061790466308594</td><td>0.11022762954235077</td><td>0.05437537282705307</td><td>0.006230555009096861</td><td>26.361902236938477</td><td>0.05935695022344589</td><td>0.09572902321815491</td><td>0.006888085510581732</td><td>26.09457015991211</td><td>0.07863631844520569</td><td>0.12984848022460938</td><td>0.010867500677704811</td><td>26.072614669799805</td><td>0.14712508022785187</td><td>0.11468514055013657</td><td>0.02115604281425476</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.05728336051106453</td><td>0.045368414372205734</td><td>False</td><td>nan</td><td>-158.78416442871094</td><td>0.03770362585783005</td><td>0.03816647082567215</td><td>False</td><td>26.774917602539062</td><td>1.2571460008621216</td><td>0.07721725851297379</td><td>0.06483399868011475</td><td>False</td><td>26.28046417236328</td><td>1.2384856939315796</td><td>0.08516677469015121</td><td>0.04590689018368721</td><td>False</td><td>27.47968292236328</td><td>2.7489705085754395</td><td>0.05649436265230179</td><td>0.007213090546429157</td><td>False</td><td>27.05339813232422</td><td>0.19146616756916046</td><td>0.047268934547901154</td><td>0.006500521209090948</td><td>False</td><td>27.284950256347656</td><td>0.18914152681827545</td><td>0.06250155717134476</td><td>0.012523005716502666</td><td>False</td><td>26.879669189453125</td><td>0.34994617104530334</td><td>0.09576260298490524</td><td>0.014239259995520115</td><td>False</td><td>26.40692901611328</td><td>0.18942609429359436</td><td>0.08531492948532104</td><td>0.01169944740831852</td><td>False</td><td>26.742652893066406</td><td>0.2199898213148117</td><td>0.017130739986896515</td><td>0.050186045467853546</td><td>False</td><td>nan</td><td>-3.942086696624756</td><td>0.16068100929260254</td><td>0.019846241921186447</td><td>False</td><td>26.241905212402344</td><td>0.3417989909648895</td><td>0.01736079715192318</td><td>0.023754222318530083</td><td>False</td><td>29.402328491210938</td><td>5.014884948730469</td><td>0.07023526728153229</td><td>0.023499267175793648</td><td>False</td><td>27.03528594970703</td><td>0.640580415725708</td><td>0.10736855864524841</td><td>0.029379939660429955</td><td>False</td><td>26.531219482421875</td><td>0.4118393361568451</td><td>0.024829884991049767</td><td>0.034327201545238495</td><td>False</td><td>26.524818420410156</td><td>0.832923948764801</td><td>0.06915153563022614</td><td>0.03751714527606964</td><td>False</td><td>26.669212341308594</td><td>0.6140516996383667</td><td>0.18088196218013763</td><td>0.041948456317186356</td><td>False</td><td>26.106300354003906</td><td>0.5765542984008789</td><td>0.1275644153356552</td><td>0.027802668511867523</td><td>False</td><td>26.23651123046875</td><td>0.42665791511535645</td><td>0.12606555223464966</td><td>0.027943875640630722</td><td>False</td><td>26.852020263671875</td><td>1.1378378868103027</td><td>0.08058156818151474</td><td>0.030892739072442055</td><td>False</td><td>27.122230529785156</td><td>0.8474763631820679</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.469617247581482</td><td>0.11253426969051361</td><td>0.03277653455734253</td><td>False</td><td>29.32916259765625</td><td>9.212646484375</td><td>0.25380739569664</td><td>0.03538791090250015</td><td>False</td><td>25.727867126464844</td><td>0.40541738271713257</td><td>0.12027408182621002</td><td>0.08158034831285477</td><td>False</td><td>26.138229370117188</td><td>0.6815610527992249</td><td>nan</td><td>nan</td><td>False</td><td>26.601463317871094</td><td>0.7681145668029785</td><td>0.05906417593359947</td><td>0.004101807251572609</td><td>False</td><td>27.006179809570312</td><td>0.09399255365133286</td><td>0.05436054989695549</td><td>0.0055188680998981</td><td>False</td><td>27.061500549316406</td><td>0.12440814077854156</td><td>0.10357113927602768</td><td>0.005662210285663605</td><td>False</td><td>26.4473876953125</td><td>0.0781230553984642</td><td>0.13248658180236816</td><td>0.009595569223165512</td><td>False</td><td>26.116409301757812</td><td>0.09086928516626358</td><td>0.13519287109375</td><td>0.01831960864365101</td><td>False</td><td>26.251235961914062</td><td>0.20028644800186157</td><td>False</td><td>False</td><td>False</td><td>False</td><td>False</td><td>0</td><td>False</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td></td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td></td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td></tr>\n",
       "<tr><td>7</td><td>632929</td><td>149.87731519791078</td><td>2.0288348964347147</td><td>30.016618728637695</td><td>9.950613021850586</td><td>-0.0005683349445462227</td><td>0.07784061878919601</td><td>26.683692932128906</td><td>0.3290001451969147</td><td>0.07767921686172485</td><td>0.06203996017575264</td><td>nan</td><td>nan</td><td>-0.028241336345672607</td><td>0.09230466187000275</td><td>nan</td><td>nan</td><td>-0.025860074907541275</td><td>0.0680854395031929</td><td>31.32986068725586</td><td>5.260012626647949</td><td>0.0011971875792369246</td><td>0.008572028949856758</td><td>nan</td><td>nan</td><td>-0.0039049778133630753</td><td>0.008767719380557537</td><td>28.90821647644043</td><td>1.2698287963867188</td><td>0.008954175747931004</td><td>0.023735838010907173</td><td>27.483736038208008</td><td>0.3857048749923706</td><td>0.03714386746287346</td><td>0.019719237461686134</td><td>29.48687171936035</td><td>1.7182378768920898</td><td>0.005689649377018213</td><td>0.014408158138394356</td><td>26.684986114501953</td><td>0.5501129627227783</td><td>0.0765594094991684</td><td>0.05888917297124863</td><td>26.786523818969727</td><td>0.23560643196105957</td><td>0.07127516716718674</td><td>0.034498635679483414</td><td>nan</td><td>nan</td><td>-0.02607032284140587</td><td>0.025791658088564873</td><td>30.475467681884766</td><td>7.765430927276611</td><td>0.002307246206328273</td><td>0.02891601249575615</td><td>nan</td><td>nan</td><td>-0.05475085973739624</td><td>0.03344938904047012</td><td>27.055200576782227</td><td>0.5199780464172363</td><td>0.05372903496026993</td><td>0.06454555690288544</td><td>27.072525024414062</td><td>0.637218177318573</td><td>0.05309804156422615</td><td>0.045934442430734634</td><td>29.21168327331543</td><td>4.69661283493042</td><td>0.0057943761348724365</td><td>0.06662651896476746</td><td>28.16115951538086</td><td>1.2556307315826416</td><td>0.018443318083882332</td><td>0.04635201394557953</td><td>27.26406478881836</td><td>0.5964326858520508</td><td>0.05167149752378464</td><td>0.0759248435497284</td><td>29.05693244934082</td><td>3.6469340324401855</td><td>0.007531630340963602</td><td>0.046712495386600494</td><td>nan</td><td>nan</td><td>-0.05940082296729088</td><td>0.0627833753824234</td><td>27.497852325439453</td><td>0.8003494143486023</td><td>0.03313381224870682</td><td>0.05793067067861557</td><td>nan</td><td>nan</td><td>-0.04163007065653801</td><td>0.07740055024623871</td><td>27.644582748413086</td><td>2.370995283126831</td><td>0.031258415430784225</td><td>0.08400415629148483</td><td>nan</td><td>nan</td><td>-0.027062419801950455</td><td>0.05471820384263992</td><td>nan</td><td>nan</td><td>-0.003714438294991851</td><td>0.004767552018165588</td><td>27.510150909423828</td><td>0.13560880720615387</td><td>0.036010563373565674</td><td>0.006049781106412411</td><td>27.285221099853516</td><td>0.11667850613594055</td><td>0.044368356466293335</td><td>0.006906979251652956</td><td>27.472063064575195</td><td>0.24285563826560974</td><td>0.03762229159474373</td><td>0.011334121227264404</td><td>27.100629806518555</td><td>0.3229199945926666</td><td>0.05158602073788643</td><td>0.022168220952153206</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.0035756281577050686</td><td>0.03277010843157768</td><td>False</td><td>nan</td><td>-148.70523071289062</td><td>0.07700567692518234</td><td>0.023334287106990814</td><td>False</td><td>26.674240112304688</td><td>0.867143452167511</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-3.5486459732055664</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.858569622039795</td><td>0.0010667317546904087</td><td>0.0051679424941539764</td><td>False</td><td>31.20459747314453</td><td>7.774021625518799</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.43776798248291</td><td>0.009924613870680332</td><td>0.011607388034462929</td><td>False</td><td>29.019935607910156</td><td>2.878082513809204</td><td>0.03685576468706131</td><td>0.01309291273355484</td><td>False</td><td>27.47528076171875</td><td>0.5764043927192688</td><td>0.005824399646371603</td><td>0.009217435494065285</td><td>False</td><td>29.512290954589844</td><td>2.7494592666625977</td><td>0.0769139975309372</td><td>0.0389702282845974</td><td>False</td><td>26.69000244140625</td><td>0.8351436257362366</td><td>0.07004713267087936</td><td>0.015200335532426834</td><td>False</td><td>26.767654418945312</td><td>0.5255184769630432</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.0741307735443115</td><td>0.0023432194720953703</td><td>0.01675923354923725</td><td>False</td><td>30.492263793945312</td><td>13.607199668884277</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.6633176207542419</td><td>0.05469149723649025</td><td>0.026192713528871536</td><td>False</td><td>27.074478149414062</td><td>1.3043124675750732</td><td>0.053825728595256805</td><td>0.0315903015434742</td><td>False</td><td>27.087303161621094</td><td>0.9392566084861755</td><td>0.007504575420171022</td><td>0.032462846487760544</td><td>False</td><td>29.49248504638672</td><td>12.484315872192383</td><td>0.019748587161302567</td><td>0.022838817909359932</td><td>False</td><td>28.23540496826172</td><td>2.7286877632141113</td><td>0.04512052237987518</td><td>0.024786274880170822</td><td>False</td><td>27.11687469482422</td><td>1.5953543186187744</td><td>0.008654206059873104</td><td>0.029069049283862114</td><td>False</td><td>29.207778930664062</td><td>6.733926773071289</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.1475629806518555</td><td>0.03637966886162758</td><td>0.026817236095666885</td><td>False</td><td>27.599327087402344</td><td>1.8982850313186646</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.018651008605957</td><td>0.031780943274497986</td><td>0.06940218061208725</td><td>False</td><td>27.662582397460938</td><td>2.9178173542022705</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.1952779293060303</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.3935630321502686</td><td>0.03596993535757065</td><td>0.004492656327784061</td><td>False</td><td>27.508926391601562</td><td>0.18240387737751007</td><td>0.04424979165196419</td><td>0.004755298141390085</td><td>False</td><td>27.282318115234375</td><td>0.169020414352417</td><td>0.03725414723157883</td><td>0.008332944475114346</td><td>False</td><td>27.461387634277344</td><td>0.32708969712257385</td><td>0.05245030298829079</td><td>0.015599784441292286</td><td>False</td><td>27.118675231933594</td><td>0.46657678484916687</td><td>False</td><td>False</td><td>False</td><td>False</td><td>False</td><td>0</td><td>False</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td></td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td></td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td></tr>\n",
       "<tr><td>8</td><td>574083</td><td>149.98996546737203</td><td>1.9729100077186552</td><td>nan</td><td>nan</td><td>-0.0006683538667857647</td><td>0.08100710064172745</td><td>26.348608016967773</td><td>0.30364543199539185</td><td>0.09801845997571945</td><td>0.0789579302072525</td><td>nan</td><td>nan</td><td>-0.06084514409303665</td><td>0.12209967523813248</td><td>26.729248046875</td><td>0.5197487473487854</td><td>0.07227466255426407</td><td>0.09056068956851959</td><td>28.623136520385742</td><td>0.5284791588783264</td><td>0.012423669919371605</td><td>0.010550308041274548</td><td>29.264204025268555</td><td>0.7739599943161011</td><td>0.00708435196429491</td><td>0.007568556349724531</td><td>28.464107513427734</td><td>0.6615639328956604</td><td>0.013928801752626896</td><td>0.018858855590224266</td><td>27.56243324279785</td><td>0.35076621174812317</td><td>0.034384436905384064</td><td>0.01689346507191658</td><td>28.33740997314453</td><td>0.5595444440841675</td><td>0.01675979048013687</td><td>0.013706847093999386</td><td>nan</td><td>nan</td><td>-0.003198873018845916</td><td>0.052562154829502106</td><td>nan</td><td>nan</td><td>-0.025443509221076965</td><td>0.03101355955004692</td><td>29.070466995239258</td><td>2.16174578666687</td><td>0.008198920637369156</td><td>0.02611040137708187</td><td>nan</td><td>nan</td><td>-0.00699307955801487</td><td>0.029039965942502022</td><td>nan</td><td>nan</td><td>-0.03126365691423416</td><td>0.030611591413617134</td><td>28.609283447265625</td><td>1.9920251369476318</td><td>0.021435219794511795</td><td>0.05985463038086891</td><td>nan</td><td>nan</td><td>-0.0191483274102211</td><td>0.03954509645700455</td><td>nan</td><td>nan</td><td>-0.022518590092658997</td><td>0.06309112906455994</td><td>29.506336212158203</td><td>3.397024631500244</td><td>0.00966796837747097</td><td>0.03679899126291275</td><td>27.333463668823242</td><td>0.5002507567405701</td><td>0.03617678955197334</td><td>0.06047803908586502</td><td>nan</td><td>nan</td><td>-0.022509504109621048</td><td>0.03673786669969559</td><td>nan</td><td>nan</td><td>-0.06627999991178513</td><td>0.054708126932382584</td><td>nan</td><td>nan</td><td>-0.006519438233226538</td><td>0.047575581818819046</td><td>nan</td><td>nan</td><td>-0.13495950400829315</td><td>0.06372776627540588</td><td>27.464136123657227</td><td>1.5582771301269531</td><td>0.036060284823179245</td><td>0.06602008640766144</td><td>nan</td><td>nan</td><td>-0.021413996815681458</td><td>0.05550355836749077</td><td>29.094440460205078</td><td>0.40609413385391235</td><td>0.00824450422078371</td><td>0.00444395374506712</td><td>28.107769012451172</td><td>0.2127080112695694</td><td>0.020419372245669365</td><td>0.005530068650841713</td><td>27.109907150268555</td><td>0.09497927129268646</td><td>0.05190326273441315</td><td>0.006679250858724117</td><td>26.886157989501953</td><td>0.13534478843212128</td><td>0.0635262280702591</td><td>0.010958235710859299</td><td>27.141313552856445</td><td>0.3164229989051819</td><td>0.05253377929329872</td><td>0.02119472809135914</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-131.595458984375</td><td>0.10484710335731506</td><td>0.02932235784828663</td><td>False</td><td>26.421730041503906</td><td>0.8746054172515869</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.1787774562835693</td><td>0.07384148985147476</td><td>0.03534838557243347</td><td>False</td><td>26.752540588378906</td><td>1.3604356050491333</td><td>0.01290462538599968</td><td>0.00628129206597805</td><td>False</td><td>28.66437530517578</td><td>0.92201828956604</td><td>0.007150207180529833</td><td>0.005096978507936001</td><td>False</td><td>29.274253845214844</td><td>1.1599445343017578</td><td>0.014940218068659306</td><td>0.00910341739654541</td><td>False</td><td>28.54021453857422</td><td>1.4700288772583008</td><td>0.03427887335419655</td><td>0.011074393056333065</td><td>False</td><td>27.559097290039062</td><td>0.5334345102310181</td><td>0.016789419576525688</td><td>0.008652586489915848</td><td>False</td><td>28.339332580566406</td><td>0.8879597783088684</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-17.84023094177246</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.3234237432479858</td><td>0.008546990342438221</td><td>0.017017412930727005</td><td>False</td><td>29.11560821533203</td><td>3.457651138305664</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-4.508706092834473</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.0630910396575928</td><td>0.013070321641862392</td><td>0.02398042008280754</td><td>False</td><td>28.072181701660156</td><td>3.031754732131958</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.242260694503784</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-3.041945457458496</td><td>0.00572091294452548</td><td>0.01789945177733898</td><td>False</td><td>28.936660766601562</td><td>4.132615566253662</td><td>0.04232671484351158</td><td>0.019501948729157448</td><td>False</td><td>27.503929138183594</td><td>1.8150641918182373</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.7720351219177246</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.8961766362190247</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-7.92315673828125</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.5126837491989136</td><td>0.03752715140581131</td><td>0.053859952837228775</td><td>False</td><td>27.507423400878906</td><td>1.9877933263778687</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.8141512870788574</td><td>0.008360342122614384</td><td>0.003126989584416151</td><td>False</td><td>29.109588623046875</td><td>0.5852336287498474</td><td>0.02074398286640644</td><td>0.004063980653882027</td><td>False</td><td>28.124893188476562</td><td>0.2940440773963928</td><td>0.05200400575995445</td><td>0.004549265839159489</td><td>False</td><td>27.112014770507812</td><td>0.139719620347023</td><td>0.06390528380870819</td><td>0.007966251112520695</td><td>False</td><td>26.892616271972656</td><td>0.1872888207435608</td><td>0.05052129924297333</td><td>0.014723744243383408</td><td>False</td><td>27.098907470703125</td><td>0.43803972005844116</td><td>False</td><td>False</td><td>False</td><td>False</td><td>False</td><td>0</td><td>False</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td></td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td></td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td></tr>\n",
       "<tr><td>9</td><td>693199</td><td>150.11851045556242</td><td>2.0849289654772334</td><td>27.816938400268555</td><td>1.4165501594543457</td><td>-0.0008935743826441467</td><td>0.058470726013183594</td><td>nan</td><td>nan</td><td>-0.06581283360719681</td><td>0.024788333103060722</td><td>30.62415313720703</td><td>12.003729820251465</td><td>-0.011701460927724838</td><td>0.040430665016174316</td><td>26.88640785217285</td><td>0.27016934752464294</td><td>0.0507553406059742</td><td>0.02944907732307911</td><td>28.777610778808594</td><td>0.8639163374900818</td><td>-0.007288075052201748</td><td>0.010275724343955517</td><td>nan</td><td>nan</td><td>-0.008706450462341309</td><td>0.01156812347471714</td><td>nan</td><td>nan</td><td>-0.03144654259085655</td><td>0.025661462917923927</td><td>nan</td><td>nan</td><td>-0.007631725165992975</td><td>0.02110261842608452</td><td>nan</td><td>nan</td><td>0.001586182159371674</td><td>0.020362764596939087</td><td>nan</td><td>nan</td><td>-0.07588406652212143</td><td>0.07546291500329971</td><td>nan</td><td>nan</td><td>-0.04180951789021492</td><td>0.04928531497716904</td><td>nan</td><td>nan</td><td>-0.040638621896505356</td><td>0.0291886106133461</td><td>26.590702056884766</td><td>0.38494014739990234</td><td>0.03126843646168709</td><td>0.03485049679875374</td><td>nan</td><td>nan</td><td>-0.06010596081614494</td><td>0.03730783611536026</td><td>nan</td><td>nan</td><td>-0.11409381031990051</td><td>0.06815699487924576</td><td>28.772541046142578</td><td>4.238827705383301</td><td>-0.020533328875899315</td><td>0.04448600485920906</td><td>nan</td><td>nan</td><td>-0.06642643362283707</td><td>0.06949598342180252</td><td>nan</td><td>nan</td><td>0.024126749485731125</td><td>0.04058476909995079</td><td>26.038848876953125</td><td>0.26516059041023254</td><td>0.06034952774643898</td><td>0.07401955872774124</td><td>nan</td><td>nan</td><td>-0.04630967229604721</td><td>0.040655478835105896</td><td>26.92364501953125</td><td>0.6379323601722717</td><td>-0.03286713361740112</td><td>0.0589589886367321</td><td>27.72504425048828</td><td>1.2882412672042847</td><td>0.04751935601234436</td><td>0.051734838634729385</td><td>nan</td><td>nan</td><td>0.036216896027326584</td><td>0.08768044412136078</td><td>nan</td><td>nan</td><td>-0.007890061475336552</td><td>0.07660593837499619</td><td>nan</td><td>nan</td><td>0.030769696459174156</td><td>0.06663824617862701</td><td>27.80816078186035</td><td>0.17780019342899323</td><td>0.01229863055050373</td><td>0.004362432286143303</td><td>25.474531173706055</td><td>0.03374435752630234</td><td>0.11157678067684174</td><td>0.006827362347394228</td><td>25.87135887145996</td><td>0.045305993407964706</td><td>0.08665089309215546</td><td>0.006949055474251509</td><td>26.20890235900879</td><td>0.10345648974180222</td><td>0.06700360029935837</td><td>0.01084106881171465</td><td>26.7263240814209</td><td>0.30478718876838684</td><td>0.06431560963392258</td><td>0.02076292224228382</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.027115941047668457</td><td>0.035377923399209976</td><td>False</td><td>nan</td><td>-71.04476165771484</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.4089413583278656</td><td>0.0020433322060853243</td><td>0.022590763866901398</td><td>False</td><td>nan</td><td>-3.7514145374298096</td><td>0.06389054656028748</td><td>0.015898214653134346</td><td>False</td><td>27.13629913330078</td><td>0.6299619078636169</td><td>0.011193230748176575</td><td>0.008906412869691849</td><td>False</td><td>nan</td><td>-1.5308191776275635</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.4426004886627197</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.8859981298446655</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-3.002187967300415</td><td>nan</td><td>nan</td><td>False</td><td>30.899124145507812</td><td>13.938240051269531</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.0797103643417358</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.2798724174499512</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.779827892780304</td><td>0.08389168232679367</td><td>0.02974320761859417</td><td>False</td><td>27.66223907470703</td><td>1.2101163864135742</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.6739175915718079</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.648593544960022</td><td>0.01124562043696642</td><td>0.043904077261686325</td><td>False</td><td>nan</td><td>-2.352276086807251</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.135907769203186</td><td>nan</td><td>nan</td><td>False</td><td>27.943748474121094</td><td>1.8263691663742065</td><td>0.1394633799791336</td><td>0.03406001627445221</td><td>False</td><td>26.948318481445312</td><td>1.3316709995269775</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.9531729221343994</td><td>0.06173644959926605</td><td>0.03627370670437813</td><td>False</td><td>nan</td><td>-1.9476569890975952</td><td>0.029510879889130592</td><td>0.03501507267355919</td><td>False</td><td>27.20782470703125</td><td>1.1820526123046875</td><td>nan</td><td>nan</td><td>False</td><td>27.502723693847656</td><td>2.628547430038452</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-10.541596412658691</td><td>nan</td><td>nan</td><td>False</td><td>27.67969512939453</td><td>2.3513896465301514</td><td>0.027336040511727333</td><td>0.004476550966501236</td><td>False</td><td>28.67536163330078</td><td>0.385120153427124</td><td>0.23452399671077728</td><td>0.007288935594260693</td><td>False</td><td>26.28106689453125</td><td>0.06643599271774292</td><td>0.1627257615327835</td><td>0.006790278945118189</td><td>False</td><td>26.555572509765625</td><td>0.08707170933485031</td><td>0.11924464255571365</td><td>0.01136245857924223</td><td>False</td><td>26.834754943847656</td><td>0.17567026615142822</td><td>0.07404063642024994</td><td>0.020784640684723854</td><td>False</td><td>26.87921142578125</td><td>0.3505067527294159</td><td>False</td><td>False</td><td>False</td><td>False</td><td>False</td><td>0</td><td>False</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td></td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td></td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>0</td><td>-1</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td></tr>\n",
       "</table><style>table.dataTable {clear: both; width: auto !important; margin: 0 !important;}\n",
       ".dataTables_info, .dataTables_length, .dataTables_filter, .dataTables_paginate{\n",
       "display: inline-block; margin-right: 1em; }\n",
       ".paginate_button { margin-right: 5px; }\n",
       "</style>\n",
       "<script>\n",
       "\n",
       "var astropy_sort_num = function(a, b) {\n",
       "    var a_num = parseFloat(a);\n",
       "    var b_num = parseFloat(b);\n",
       "\n",
       "    if (isNaN(a_num) && isNaN(b_num))\n",
       "        return ((a < b) ? -1 : ((a > b) ? 1 : 0));\n",
       "    else if (!isNaN(a_num) && !isNaN(b_num))\n",
       "        return ((a_num < b_num) ? -1 : ((a_num > b_num) ? 1 : 0));\n",
       "    else\n",
       "        return isNaN(a_num) ? -1 : 1;\n",
       "}\n",
       "\n",
       "require.config({paths: {\n",
       "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
       "}});\n",
       "require([\"datatables\"], function(){\n",
       "    console.log(\"$('#table5521834784-654945').dataTable()\");\n",
       "    \n",
       "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
       "    \"optionalnum-asc\": astropy_sort_num,\n",
       "    \"optionalnum-desc\": function (a,b) { return -astropy_sort_num(a, b); }\n",
       "});\n",
       "\n",
       "    $('#table5521834784-654945').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 50,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
       "        pagingType: \"full_numbers\",\n",
       "        columnDefs: [{targets: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 143, 144, 145, 146, 148, 149, 150, 151, 153, 154, 155, 156, 158, 159, 160, 161, 163, 164, 165, 166, 168, 169, 170, 171, 173, 174, 175, 176, 178, 179, 180, 181, 183, 184, 185, 186, 188, 189, 190, 191, 193, 194, 195, 196, 198, 199, 200, 201, 203, 204, 205, 206, 208, 209, 210, 211, 213, 214, 215, 216, 218, 219, 220, 221, 223, 224, 225, 226, 228, 229, 230, 231, 233, 234, 235, 236, 238, 239, 240, 241, 243, 244, 245, 246, 248, 249, 250, 251, 253, 254, 255, 256, 258, 259, 260, 261, 263, 264, 265, 266, 268, 269, 270, 271, 273, 274, 275, 276, 278, 279, 280, 281, 283, 284, 285, 286, 288, 289, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 318, 319, 320, 321, 323, 324, 326, 327, 329, 330, 333, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 359, 360, 362, 363, 365, 366, 368, 369, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 399, 400, 402, 403, 405, 406, 407, 408, 409, 410, 411, 413, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 435, 436, 438, 439, 441, 442, 444, 445, 446, 447, 448, 449, 450, 451, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 475, 476, 477, 478, 480, 481, 482, 483, 484, 485, 487, 488, 489, 490, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 530, 531, 532, 533, 535, 536, 537, 538, 540, 541, 542, 543, 545, 546, 547, 548, 550, 551, 552, 553, 555, 556, 557, 558, 560, 561, 562, 563, 565, 566, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 595, 596, 597, 598, 600, 601, 602, 603, 605, 606, 607, 608, 610, 611, 612, 613, 616], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master_catalogue[:10].show_in_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## III - Merging flags and stellarity\n",
    "\n",
    "Each pristine catalogue contains a flag indicating if the source was associated to a another nearby source that was removed during the cleaning process.  We merge these flags in a single one."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "flag_cleaned_columns = [column for column in master_catalogue.colnames\n",
    "                        if 'flag_cleaned' in column]\n",
    "\n",
    "flag_column = np.zeros(len(master_catalogue), dtype=bool)\n",
    "for column in flag_cleaned_columns:\n",
    "    flag_column |= master_catalogue[column]\n",
    "    \n",
    "master_catalogue.add_column(Column(data=flag_column, name=\"flag_cleaned\"))\n",
    "master_catalogue.remove_columns(flag_cleaned_columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Wirds was created with a merge so contains a flag to be merged with the merg flag produced here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# master_catalogue['flag_merged'] |= master_catalogue['wirds_flag_merged']\n",
    "# master_catalogue.remove_columns('wirds_flag_merged')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Each pristine catalogue contains a flag indicating the probability of a source being a Gaia object (0: not a Gaia object, 1: possibly, 2: probably, 3: definitely).  We merge these flags taking the highest value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "flag_gaia_columns = [column for column in master_catalogue.colnames\n",
    "                     if 'flag_gaia' in column]\n",
    "\n",
    "master_catalogue.add_column(Column(\n",
    "    data=np.max([master_catalogue[column] for column in flag_gaia_columns], axis=0),\n",
    "    name=\"flag_gaia\"\n",
    "))\n",
    "master_catalogue.remove_columns(flag_gaia_columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Each prisitine catalogue may contain one or several stellarity columns indicating the probability (0 to 1) of each source being a star.  We merge these columns taking the highest value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "candels_stellarity, cfhtls_stellarity, decals_stellarity, kids_stellarity, las_stellarity\n"
     ]
    }
   ],
   "source": [
    "stellarity_columns = [column for column in master_catalogue.colnames\n",
    "                      if 'stellarity' in column]\n",
    "\n",
    "print(\", \".join(stellarity_columns))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# We create an masked array with all the stellarities and get the maximum value, as well as its\n",
    "# origin.  Some sources may not have an associated stellarity.\n",
    "stellarity_array = np.array([master_catalogue[column] for column in stellarity_columns])\n",
    "stellarity_array = np.ma.masked_array(stellarity_array, np.isnan(stellarity_array))\n",
    "\n",
    "max_stellarity = np.max(stellarity_array, axis=0)\n",
    "max_stellarity.fill_value = np.nan\n",
    "\n",
    "no_stellarity_mask = max_stellarity.mask\n",
    "\n",
    "master_catalogue.add_column(Column(data=max_stellarity.filled(), name=\"stellarity\"))\n",
    "\n",
    "stellarity_origin = np.full(len(master_catalogue), \"NO_INFORMATION\", dtype=\"S20\")\n",
    "stellarity_origin[~no_stellarity_mask] = np.array(stellarity_columns)[np.argmax(stellarity_array, axis=0)[~no_stellarity_mask]]\n",
    "\n",
    "master_catalogue.add_column(Column(data=stellarity_origin, name=\"stellarity_origin\"))\n",
    "\n",
    "master_catalogue.remove_columns(stellarity_columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## IV - Adding E(B-V) column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "master_catalogue.add_column(\n",
    "    ebv(master_catalogue['ra'], master_catalogue['dec'])\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## V a - Adding HELP unique identifiers and field columns\n",
    "\n",
    "First we make a help_id column using the old values where we have them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "master_catalogue.add_column(Column(gen_help_id(master_catalogue['ra'], master_catalogue['dec']),\n",
    "                                   name=\"help_id\"))\n",
    "master_catalogue.add_column(Column(np.full(len(master_catalogue), \"COSMOS\", dtype='<U18'),\n",
    "                                   name=\"field\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK!\n"
     ]
    }
   ],
   "source": [
    "# Check that the HELP Ids are unique\n",
    "if len(master_catalogue) != len(np.unique(master_catalogue['help_id'])):\n",
    "    print(\"The HELP IDs are not unique!!!\")\n",
    "else:\n",
    "    print(\"OK!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## V b - Adding spec-z"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "specz =  Table.read(\"../../dmu23/dmu23_COSMOS/data/COSMOS-specz-v2.5-public_helpcoverage_helpid_20160512.fits\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nb_merge_dist_plot(\n",
    "    SkyCoord(master_catalogue['ra'], master_catalogue['dec']),\n",
    "    SkyCoord(specz['ra'] * u.deg, specz['dec'] * u.deg)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "master_catalogue = specz_merge(master_catalogue, specz, radius=1. * u.arcsec)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## VI - Choosing between multiple values for the same filter\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## VII.b Megacam\n",
    "\n",
    "### COSMOS vs CFHT-WIRDS vs CFHTLS\n",
    "\n",
    "We take COSMOS over CFHTLS over CFHT-WIRDS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "megacam_origin = Table()\n",
    "megacam_origin.add_column(master_catalogue['help_id'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "megacam_stats = Table()\n",
    "megacam_stats.add_column(Column(data=['u','g','r','i','z'], name=\"Band\"))\n",
    "for col in [\"COSMOS2020\", \"CFHTLS\",  \"CFHT-WIRDS\"]:\n",
    "    megacam_stats.add_column(Column(data=np.full(5, 0), name=\"{}\".format(col)))\n",
    "    megacam_stats.add_column(Column(data=np.full(5, 0), name=\"use {}\".format(col)))\n",
    "    megacam_stats.add_column(Column(data=np.full(5, 0), name=\"{} ap\".format(col)))\n",
    "    megacam_stats.add_column(Column(data=np.full(5, 0), name=\"use {} ap\".format(col)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "megacam_bands = ['u','g','r','i','z'] \n",
    "for band in megacam_bands:\n",
    "\n",
    "    # megacam total flux \n",
    "    has_cfhtls = ~np.isnan(master_catalogue['f_megacam_' + band])\n",
    "    has_wirds  = ~np.isnan(master_catalogue['f_wirds_' + band])\n",
    "    if band == 'u':\n",
    "        has_cosmos  = ~np.isnan(master_catalogue['f_cosmos-megacam_' + band])\n",
    "    elif band != 'u':\n",
    "        has_cosmos = np.full(len(master_catalogue), False, dtype=bool)\n",
    "        \n",
    "    \n",
    "    use_cosmos = has_cosmos\n",
    "    use_cfhtls = has_cfhtls & ~has_cosmos\n",
    "    use_wirds = has_wirds & ~has_cfhtls & ~has_cosmos\n",
    " \n",
    "    master_catalogue['f_megacam_' + band][use_wirds] = master_catalogue['f_wirds_' + band][use_wirds]\n",
    "    master_catalogue['ferr_megacam_' + band][use_wirds] = master_catalogue['ferr_wirds_' + band][use_wirds]\n",
    "    master_catalogue['m_megacam_' + band][use_wirds] = master_catalogue['m_wirds_' + band][use_wirds]\n",
    "    master_catalogue['merr_megacam_' + band][use_wirds] = master_catalogue['merr_wirds_' + band][use_wirds]\n",
    "    master_catalogue['flag_megacam_' + band][use_wirds] = master_catalogue['flag_wirds_' + band][use_wirds]\n",
    "\n",
    "\n",
    "    master_catalogue.remove_columns(['f_wirds_' + band,\n",
    "                               'ferr_wirds_' + band,\n",
    "                               'm_wirds_' + band, \n",
    "                               'merr_wirds_' + band,\n",
    "                               'flag_wirds_' + band])\n",
    " \n",
    "    if band == 'u':\n",
    "        master_catalogue['f_megacam_' + band][use_cosmos] = master_catalogue['f_cosmos-megacam_' + band][use_cosmos]\n",
    "        master_catalogue['ferr_megacam_' + band][use_cosmos] = master_catalogue['ferr_cosmos-megacam_' + band][use_cosmos]\n",
    "        master_catalogue['m_megacam_' + band][use_cosmos] = master_catalogue['m_cosmos-megacam_' + band][use_cosmos]\n",
    "        master_catalogue['merr_megacam_' + band][use_cosmos] = master_catalogue['merr_cosmos-megacam_' + band][use_cosmos]\n",
    "        master_catalogue['flag_megacam_' + band][use_cosmos] = master_catalogue['flag_cosmos-megacam_' + band][use_cosmos]\n",
    "        \n",
    "        master_catalogue.remove_columns(['f_cosmos-megacam_' + band,\n",
    "                               'ferr_cosmos-megacam_' + band,\n",
    "                               'm_cosmos-megacam_' + band, \n",
    "                               'merr_cosmos-megacam_' + band,\n",
    "                               'flag_cosmos-megacam_' + band])\n",
    "        \n",
    "    origin = np.full(len(master_catalogue), '     ', dtype='<U5')\n",
    "    origin[use_cfhtls] = \"CFHTLS\"\n",
    "    origin[use_wirds] = \"CFHT-WIRDS\"\n",
    "    origin[use_cosmos] = \"COSMOS2015\"\n",
    " \n",
    "    \n",
    "    megacam_origin.add_column(Column(data=origin, name= 'f_megacam_' + band ))\n",
    "    \n",
    "  \n",
    "    # Megacam aperture flux \n",
    "    has_ap_cfhtls = ~np.isnan(master_catalogue['f_ap_megacam_' + band])\n",
    "    has_ap_wirds  = ~np.isnan(master_catalogue['f_ap_wirds_' + band])\n",
    "    if band == 'u':\n",
    "        has_ap_cosmos  = ~np.isnan(master_catalogue['f_ap_cosmos-megacam_' + band])\n",
    "    elif band != 'u':\n",
    "        has_ap_cosmos = np.full(len(master_catalogue), False, dtype=bool)\n",
    "    \n",
    "    use_ap_cosmos =  has_ap_cosmos\n",
    "    use_ap_cfhtls = has_ap_cfhtls & ~has_ap_cosmos\n",
    "    use_ap_wirds = has_ap_wirds & ~has_ap_cfhtls & ~has_ap_cosmos\n",
    "  \n",
    "\n",
    "    master_catalogue['f_ap_megacam_' + band][use_ap_wirds] = master_catalogue['f_ap_wirds_' + band][use_ap_wirds]\n",
    "    master_catalogue['ferr_ap_megacam_' + band][use_ap_wirds] = master_catalogue['ferr_ap_wirds_' + band][use_ap_wirds]\n",
    "    master_catalogue['m_ap_megacam_' + band][use_ap_wirds] = master_catalogue['m_ap_wirds_' + band][use_ap_wirds]\n",
    "    master_catalogue['merr_ap_megacam_' + band][use_ap_wirds] = master_catalogue['merr_ap_wirds_' + band][use_ap_wirds]\n",
    "\n",
    "    master_catalogue.remove_columns(['f_ap_wirds_' + band,\n",
    "                               'ferr_ap_wirds_' + band,\n",
    "                               'm_ap_wirds_' + band, \n",
    "                               'merr_ap_wirds_' + band])\n",
    "    \n",
    "    if band == 'u':\n",
    "        master_catalogue['f_ap_megacam_' + band][use_ap_cosmos] = master_catalogue['f_ap_cosmos-megacam_' + band][use_ap_cosmos]\n",
    "        master_catalogue['ferr_ap_megacam_' + band][use_ap_cosmos] = master_catalogue['ferr_ap_cosmos-megacam_' + band][use_ap_cosmos]\n",
    "        master_catalogue['m_ap_megacam_' + band][use_ap_cosmos] = master_catalogue['m_ap_cosmos-megacam_' + band][use_ap_cosmos]\n",
    "        master_catalogue['merr_ap_megacam_' + band][use_ap_cosmos] = master_catalogue['merr_ap_cosmos-megacam_' + band][use_ap_cosmos]\n",
    "        \n",
    "        \n",
    "        master_catalogue.remove_columns(['f_ap_cosmos-megacam_' + band,\n",
    "                               'ferr_ap_cosmos-megacam_' + band,\n",
    "                               'm_ap_cosmos-megacam_' + band, \n",
    "                               'merr_ap_cosmos-megacam_' + band])\n",
    "\n",
    "    origin_ap = np.full(len(master_catalogue), '     ', dtype='<U5')\n",
    "    origin_ap[use_ap_cfhtls] = \"CFHTLS\"\n",
    "    origin_ap[use_ap_wirds] = \"CFHT-WIRDS\"\n",
    "    origin_ap[use_ap_cosmos] = \"COSMOS2020\"\n",
    "    \n",
    "    megacam_origin.add_column(Column(data=origin_ap, name= 'f_ap_megacam_' + band ))\n",
    "\n",
    "   \n",
    "    megacam_stats['CFHTLS'][megacam_stats['Band'] == band] = np.sum(has_cfhtls)\n",
    "    megacam_stats['CFHT-WIRDS'][megacam_stats['Band'] == band] = np.sum(has_wirds)\n",
    "    megacam_stats['COSMOS2020'][megacam_stats['Band'] == band] = np.sum(has_cosmos)\n",
    "\n",
    "    megacam_stats['use CFHTLS'][megacam_stats['Band'] == band] = np.sum(use_cfhtls)\n",
    "    megacam_stats['use CFHT-WIRDS'][megacam_stats['Band'] == band] = np.sum(use_wirds)\n",
    "    megacam_stats['use COSMOS2020'][megacam_stats['Band'] == band] = np.sum(use_cosmos)\n",
    "\n",
    "    megacam_stats['CFHTLS ap'][megacam_stats['Band'] == band] = np.sum(has_ap_cfhtls)\n",
    "    megacam_stats['CFHT-WIRDS ap'][megacam_stats['Band'] == band] = np.sum(has_ap_wirds)\n",
    "    megacam_stats['COSMOS2020 ap'][megacam_stats['Band'] == band] = np.sum(has_ap_cosmos)\n",
    "\n",
    "    megacam_stats['use CFHTLS ap'][megacam_stats['Band'] == band] = np.sum(use_ap_cfhtls)\n",
    "    megacam_stats['use CFHT-WIRDS ap'][megacam_stats['Band'] == band] = np.sum(use_ap_wirds)\n",
    "    megacam_stats['use COSMOS2020 ap'][megacam_stats['Band'] == band] = np.sum(use_ap_cosmos)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=5</i>\n",
       "<table id=\"table5123931944-727116\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>idx</th><th>Band</th><th>COSMOS2020</th><th>use COSMOS2020</th><th>COSMOS2020 ap</th><th>use COSMOS2020 ap</th><th>CFHTLS</th><th>use CFHTLS</th><th>CFHTLS ap</th><th>use CFHTLS ap</th><th>CFHT-WIRDS</th><th>use CFHT-WIRDS</th><th>CFHT-WIRDS ap</th><th>use CFHT-WIRDS ap</th></tr></thead>\n",
       "<tr><td>0</td><td>u</td><td>37692</td><td>37692</td><td>41783</td><td>41783</td><td>455496</td><td>427335</td><td>459328</td><td>430224</td><td>156347</td><td>28764</td><td>157331</td><td>28761</td></tr>\n",
       "<tr><td>1</td><td>g</td><td>0</td><td>0</td><td>0</td><td>0</td><td>516573</td><td>516573</td><td>518549</td><td>518549</td><td>164107</td><td>31004</td><td>163978</td><td>30623</td></tr>\n",
       "<tr><td>2</td><td>r</td><td>0</td><td>0</td><td>0</td><td>0</td><td>526336</td><td>526336</td><td>529160</td><td>529160</td><td>165217</td><td>31157</td><td>165010</td><td>30769</td></tr>\n",
       "<tr><td>3</td><td>i</td><td>0</td><td>0</td><td>0</td><td>0</td><td>520668</td><td>520668</td><td>523948</td><td>523948</td><td>165648</td><td>31372</td><td>165316</td><td>30930</td></tr>\n",
       "<tr><td>4</td><td>z</td><td>0</td><td>0</td><td>0</td><td>0</td><td>474766</td><td>474766</td><td>480581</td><td>480581</td><td>164234</td><td>30641</td><td>164359</td><td>30466</td></tr>\n",
       "</table><style>table.dataTable {clear: both; width: auto !important; margin: 0 !important;}\n",
       ".dataTables_info, .dataTables_length, .dataTables_filter, .dataTables_paginate{\n",
       "display: inline-block; margin-right: 1em; }\n",
       ".paginate_button { margin-right: 5px; }\n",
       "</style>\n",
       "<script>\n",
       "\n",
       "var astropy_sort_num = function(a, b) {\n",
       "    var a_num = parseFloat(a);\n",
       "    var b_num = parseFloat(b);\n",
       "\n",
       "    if (isNaN(a_num) && isNaN(b_num))\n",
       "        return ((a < b) ? -1 : ((a > b) ? 1 : 0));\n",
       "    else if (!isNaN(a_num) && !isNaN(b_num))\n",
       "        return ((a_num < b_num) ? -1 : ((a_num > b_num) ? 1 : 0));\n",
       "    else\n",
       "        return isNaN(a_num) ? -1 : 1;\n",
       "}\n",
       "\n",
       "require.config({paths: {\n",
       "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
       "}});\n",
       "require([\"datatables\"], function(){\n",
       "    console.log(\"$('#table5123931944-727116').dataTable()\");\n",
       "    \n",
       "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
       "    \"optionalnum-asc\": astropy_sort_num,\n",
       "    \"optionalnum-desc\": function (a,b) { return -astropy_sort_num(a, b); }\n",
       "});\n",
       "\n",
       "    $('#table5123931944-727116').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 50,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
       "        pagingType: \"full_numbers\",\n",
       "        columnDefs: [{targets: [0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "megacam_stats.show_in_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "megacam_origin.write(\"{}/cosmos_megacam_fluxes_origins{}.fits\".format(OUT_DIR, SUFFIX), overwrite=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Final renaming\n",
    "\n",
    "We rename some columns in line with HELP filter naming standards"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "renaming = OrderedDict({\n",
    "    '_wirds_j':'_wircam_j',\n",
    "    #'_wirds_h': '_wircam_h', #These two now merged with COSMOS\n",
    "    #'_wirds_k': '_wircam_ks',\n",
    "    '_kids_': '_omegacam_',\n",
    "    '_cosmos-suprime_': '_suprime_',\n",
    "    '_cosmos-vista_':'_vista_',\n",
    "    '_cosmos-irac_':'_irac_',\n",
    "    '_candels_f140w':'_wfc3_f140w',\n",
    "    '_candels_f160w':'_wfc3_f160w',\n",
    "    '_candels_f125w':'_wfc3_f125w',\n",
    "    '_candels_f606w': '_acs_f606w',\n",
    "    '_candels_f814w':'_acs_f814w',\n",
    "})\n",
    "\n",
    "\n",
    "for col in master_catalogue.colnames:\n",
    "    for rename_col in list(renaming):\n",
    "        if rename_col in col:\n",
    "            master_catalogue.rename_column(col, col.replace(rename_col, renaming[rename_col]))      "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## VII.a Wavelength domain coverage\n",
    "\n",
    "We add a binary `flag_optnir_obs` indicating that a source was observed in a given wavelength domain:\n",
    "\n",
    "- 1 for observation in optical;\n",
    "- 2 for observation in near-infrared;\n",
    "- 4 for observation in mid-infrared (IRAC).\n",
    "\n",
    "It's an integer binary flag, so a source observed both in optical and near-infrared by not in mid-infrared would have this flag at 1 + 2 = 3.\n",
    "\n",
    "*Note 1: The observation flag is based on the creation of multi-order coverage maps from the catalogues, this may not be accurate, especially on the edges of the coverage.*\n",
    "\n",
    "*Note 2: Being on the observation coverage does not mean having fluxes in that wavelength domain. For sources observed in one domain but having no flux in it, one must take into consideration de different depths in the catalogue we are using.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "candels_moc = MOC(filename=\"../../dmu0/dmu0_CANDELS-3D-HST/data/CANDELS-3D-HST_COSMOS_MOC.fits\")\n",
    "cfhtls_moc = MOC(filename=\"../../dmu0/dmu0_CFHTLS/data/CFHTLS-DEEP_COSMOS_MOC.fits\")\n",
    "decals_moc = MOC(filename=\"../../dmu0/dmu0_DECaLS/data/DECaLS_COSMOS_MOC.fits\")\n",
    "kids_moc = MOC(filename=\"../../dmu0/dmu0_KIDS/data/KIDS-DR3_COSMOS_MOC.fits\")\n",
    "ps1_moc = MOC(filename=\"../../dmu0/dmu0_PanSTARRS1-3SS/data/PanSTARRS1-3SS_COSMOS_v2_MOC.fits\")\n",
    "las_moc = MOC(filename=\"../../dmu0/dmu0_UKIDSS-LAS/data/UKIDSS-LAS_COSMOS_MOC.fits\")\n",
    "wirds_moc = MOC(filename=\"../../dmu0/dmu0_CFHT-WIRDS/data/COSMOS_Ks-priors_MOC.fits\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "was_observed_optical = inMoc(\n",
    "    master_catalogue['ra'], master_catalogue['dec'],\n",
    "    candels_moc + \n",
    "    cfhtls_moc + \n",
    "    decals_moc + \n",
    "    kids_moc +\n",
    "    ps1_moc) \n",
    "\n",
    "was_observed_nir = inMoc(\n",
    "    master_catalogue['ra'], master_catalogue['dec'],\n",
    "    las_moc + wirds_moc\n",
    ")\n",
    "\n",
    "was_observed_mir = np.zeros(len(master_catalogue), dtype=bool)\n",
    "\n",
    "#was_observed_mir = inMoc(\n",
    "#    master_catalogue['ra'], master_catalogue['dec'],   \n",
    "#)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "master_catalogue.add_column(\n",
    "    Column(\n",
    "        1 * was_observed_optical + 2 * was_observed_nir + 4 * was_observed_mir,\n",
    "        name=\"flag_optnir_obs\")\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## VII.b Wavelength domain detection\n",
    "\n",
    "We add a binary `flag_optnir_det` indicating that a source was detected in a given wavelength domain:\n",
    "\n",
    "- 1 for detection in optical;\n",
    "- 2 for detection in near-infrared;\n",
    "- 4 for detection in mid-infrared (IRAC).\n",
    "\n",
    "It's an integer binary flag, so a source detected both in optical and near-infrared by not in mid-infrared would have this flag at 1 + 2 = 3.\n",
    "\n",
    "*Note 1: We use the total flux columns to know if the source has flux, in some catalogues, we may have aperture flux and no total flux.*\n",
    "\n",
    "To get rid of artefacts (chip edges, star flares, etc.) we consider that a source is detected in one wavelength domain when it has a flux value in **at least two bands**. That means that good sources will be excluded from this flag when they are on the coverage of only one band."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "nb_optical_flux = (\n",
    "    1 * ~np.isnan(master_catalogue['f_megacam_u']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_megacam_g']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_megacam_r']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_megacam_i']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_megacam_z']) +\n",
    "    \n",
    "    1 * ~np.isnan(master_catalogue['f_suprime_g']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_suprime_r']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_suprime_i']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_suprime_z']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_suprime_y']) +\n",
    "    #1 * ~np.isnan(master_catalogue['f_suprime_n921']) +\n",
    "    \n",
    "    1 * ~np.isnan(master_catalogue['f_gpc1_g']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_gpc1_r']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_gpc1_i']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_gpc1_z']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_gpc1_y']) +\n",
    "    \n",
    "    1 * ~np.isnan(master_catalogue['f_decam_g']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_decam_r']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_decam_z']) +\n",
    "    \n",
    "    1 * ~np.isnan(master_catalogue['f_omegacam_u']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_omegacam_g']) +\n",
    "    #1 * ~np.isnan(master_catalogue['f_omegacam_r']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_omegacam_i']) \n",
    ")\n",
    "\n",
    "nb_nir_flux = (\n",
    "    \n",
    "    1 * ~np.isnan(master_catalogue['f_vista_j']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_vista_h']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_vista_ks']) +\n",
    "    \n",
    "    1 * ~np.isnan(master_catalogue['f_wircam_j']) +\n",
    "    #1 * ~np.isnan(master_catalogue['f_wircam_h']) +\n",
    "    #1 * ~np.isnan(master_catalogue['f_wircam_ks']) +\n",
    "    \n",
    "    1 * ~np.isnan(master_catalogue['f_ukidss_y']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_ukidss_j']) +\n",
    "    #1 * ~np.isnan(master_catalogue['f_ukidss_h']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_ukidss_k'])\n",
    ")\n",
    "\n",
    "nb_mir_flux = (\n",
    "    1 * ~np.isnan(master_catalogue['f_irac_i1']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_irac_i2']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_irac_i3']) +\n",
    "    1 * ~np.isnan(master_catalogue['f_irac_i4'])\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "has_optical_flux = nb_optical_flux >= 2\n",
    "has_nir_flux = nb_nir_flux >= 2\n",
    "has_mir_flux = nb_mir_flux >= 2\n",
    "\n",
    "master_catalogue.add_column(\n",
    "    Column(\n",
    "        1 * has_optical_flux + 2 * has_nir_flux + 4 * has_mir_flux,\n",
    "        name=\"flag_optnir_det\")\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## VIII - Cross-identification table\n",
    "\n",
    "We are producing a table associating to each HELP identifier, the identifiers of the sources in the pristine catalogue. This can be used to easily get additional information from them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "73 master list rows had multiple associations.\n"
     ]
    }
   ],
   "source": [
    "\n",
    "#\n",
    "# Addind SDSS ids\n",
    "#\n",
    "sdss = Table.read(\"../../dmu0/dmu0_SDSS/data/SDSS-DR13_COSMOS.fits\")['objID', 'ra', 'dec']\n",
    "sdss_coords = SkyCoord(sdss['ra'] * u.deg, sdss['dec'] * u.deg)\n",
    "idx_ml, d2d, _ = sdss_coords.match_to_catalog_sky(SkyCoord(master_catalogue['ra'], master_catalogue['dec']))\n",
    "idx_sdss = np.arange(len(sdss))\n",
    "\n",
    "# Limit the cross-match to 1 arcsec\n",
    "mask = d2d <= 1. * u.arcsec\n",
    "idx_ml = idx_ml[mask]\n",
    "idx_sdss = idx_sdss[mask]\n",
    "d2d = d2d[mask]\n",
    "nb_orig_matches = len(idx_ml)\n",
    "\n",
    "# In case of multiple associations of one master list object to an SDSS object, we keep only the\n",
    "# association to the nearest one.\n",
    "sort_idx = np.argsort(d2d)\n",
    "idx_ml = idx_ml[sort_idx]\n",
    "idx_sdss = idx_sdss[sort_idx]\n",
    "_, unique_idx = np.unique(idx_ml, return_index=True)\n",
    "idx_ml = idx_ml[unique_idx]\n",
    "idx_sdss = idx_sdss[unique_idx]\n",
    "print(\"{} master list rows had multiple associations.\".format(nb_orig_matches - len(idx_ml)))\n",
    "\n",
    "# Adding the ObjID to the master list\n",
    "master_catalogue.add_column(Column(data=np.full(len(master_catalogue), -1, dtype='>i8'), name=\"sdss_id\"))\n",
    "master_catalogue['sdss_id'][idx_ml] = sdss['objID'][idx_sdss]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['cosmos_id', 'candels_id', 'cfhtls_id', 'decals_id', 'kids_id', 'las_id', 'wirds_id', 'ps1_id', 'help_id', 'specz_id', 'sdss_id']\n"
     ]
    }
   ],
   "source": [
    "id_names = []\n",
    "for col in master_catalogue.colnames:\n",
    "    if '_id' in col:\n",
    "        id_names += [col]\n",
    "    if '_intid' in col:\n",
    "        id_names += [col]\n",
    "        \n",
    "print(id_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "master_catalogue[id_names].write(\n",
    "    \"{}/dr2_master_list_cross_ident_cosmos{}.fits\".format(OUT_DIR, SUFFIX), overwrite=True)\n",
    "id_names.remove('help_id')\n",
    "\n",
    "master_catalogue.remove_columns(id_names)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## IX - Adding HEALPix index\n",
    "\n",
    "We are adding a column with a HEALPix index at order 13 associated with each source."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "master_catalogue.add_column(Column(\n",
    "    data=coords_to_hpidx(master_catalogue['ra'], master_catalogue['dec'], order=13),\n",
    "    name=\"hp_idx\"\n",
    "))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## IX - Saving the catalogue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns = [\"help_id\", \"field\", \"ra\", \"dec\", \"hp_idx\"]\n",
    "\n",
    "bands = [column[5:] for column in master_catalogue.colnames if 'f_ap' in column]\n",
    "for band in bands:\n",
    "    columns += [\"f_ap_{}\".format(band), \"ferr_ap_{}\".format(band),\n",
    "                \"m_ap_{}\".format(band), \"merr_ap_{}\".format(band),\n",
    "                \"f_{}\".format(band), \"ferr_{}\".format(band),\n",
    "                \"m_{}\".format(band), \"merr_{}\".format(band),\n",
    "                \"flag_{}\".format(band)]    \n",
    "    \n",
    "# columns += ['f_wfc3_f125w', 'ferr_wfc3_f125w', 'm_wfc3_f125w', 'merr_wfc3_f125w', 'flag_wfc3_f125w',\n",
    "#            'f_acs_f606w', 'ferr_acs_f606w', 'm_acs_f606w', 'merr_acs_f606w', 'flag_acs_f606w',\n",
    "#            'f_acs_f814w', 'ferr_acs_f814w', 'm_acs_f814w', 'merr_acs_f814w', 'flag_acs_f814w'\n",
    "#           ]\n",
    "\n",
    "for tot_band in ['wfc3_f125w', 'acs_f606w', 'acs_f814w', 'irac_i1', 'irac_i2', 'irac_i3', 'irac_i4']:\n",
    "    columns += ['f_' + tot_band,'ferr_' + tot_band,'m_' + tot_band,'merr_' + tot_band,'flag_' + tot_band,]\n",
    "    \n",
    "columns += [\"stellarity\", \"stellarity_origin\", \"flag_cleaned\", \n",
    "            \"flag_merged\", \"flag_gaia\", \"flag_optnir_obs\", \"flag_optnir_det\", \"ebv\",'zspec_association_flag', 'zspec_qual', 'zspec']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Missing columns: set()\n"
     ]
    }
   ],
   "source": [
    "# We check for columns in the master catalogue that we will not save to disk.\n",
    "print(\"Missing columns: {}\".format(set(master_catalogue.colnames) - set(columns)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=5</i>\n",
       "<table id=\"table5560232368\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>ra</th><th>dec</th><th>m_vista_ks</th><th>merr_vista_ks</th><th>f_ap_vista_ks</th><th>ferr_ap_vista_ks</th><th>m_vista_y</th><th>merr_vista_y</th><th>f_ap_vista_y</th><th>ferr_ap_vista_y</th><th>m_vista_h</th><th>merr_vista_h</th><th>f_ap_vista_h</th><th>ferr_ap_vista_h</th><th>m_vista_j</th><th>merr_vista_j</th><th>f_ap_vista_j</th><th>ferr_ap_vista_j</th><th>m_suprime_b</th><th>merr_suprime_b</th><th>f_ap_suprime_b</th><th>ferr_ap_suprime_b</th><th>m_suprime_v</th><th>merr_suprime_v</th><th>f_ap_suprime_v</th><th>ferr_ap_suprime_v</th><th>m_suprime_ip</th><th>merr_suprime_ip</th><th>f_ap_suprime_ip</th><th>ferr_ap_suprime_ip</th><th>m_suprime_rc</th><th>merr_suprime_rc</th><th>f_ap_suprime_rc</th><th>ferr_ap_suprime_rc</th><th>m_suprime_zp</th><th>merr_suprime_zp</th><th>f_ap_suprime_zp</th><th>ferr_ap_suprime_zp</th><th>m_suprime_zpp</th><th>merr_suprime_zpp</th><th>f_ap_suprime_zpp</th><th>ferr_ap_suprime_zpp</th><th>m_suprime_ia484</th><th>merr_suprime_ia484</th><th>f_ap_suprime_ia484</th><th>ferr_ap_suprime_ia484</th><th>m_suprime_ia527</th><th>merr_suprime_ia527</th><th>f_ap_suprime_ia527</th><th>ferr_ap_suprime_ia527</th><th>m_suprime_ia624</th><th>merr_suprime_ia624</th><th>f_ap_suprime_ia624</th><th>ferr_ap_suprime_ia624</th><th>m_suprime_ia679</th><th>merr_suprime_ia679</th><th>f_ap_suprime_ia679</th><th>ferr_ap_suprime_ia679</th><th>m_suprime_ia738</th><th>merr_suprime_ia738</th><th>f_ap_suprime_ia738</th><th>ferr_ap_suprime_ia738</th><th>m_suprime_ia767</th><th>merr_suprime_ia767</th><th>f_ap_suprime_ia767</th><th>ferr_ap_suprime_ia767</th><th>m_suprime_ib427</th><th>merr_suprime_ib427</th><th>f_ap_suprime_ib427</th><th>ferr_ap_suprime_ib427</th><th>m_suprime_ib464</th><th>merr_suprime_ib464</th><th>f_ap_suprime_ib464</th><th>ferr_ap_suprime_ib464</th><th>m_suprime_ib505</th><th>merr_suprime_ib505</th><th>f_ap_suprime_ib505</th><th>ferr_ap_suprime_ib505</th><th>m_suprime_ib574</th><th>merr_suprime_ib574</th><th>f_ap_suprime_ib574</th><th>ferr_ap_suprime_ib574</th><th>m_suprime_ib709</th><th>merr_suprime_ib709</th><th>f_ap_suprime_ib709</th><th>ferr_ap_suprime_ib709</th><th>m_suprime_ib827</th><th>merr_suprime_ib827</th><th>f_ap_suprime_ib827</th><th>ferr_ap_suprime_ib827</th><th>m_suprime_nb711</th><th>merr_suprime_nb711</th><th>f_ap_suprime_nb711</th><th>ferr_ap_suprime_nb711</th><th>m_suprime_nb816</th><th>merr_suprime_nb816</th><th>f_ap_suprime_nb816</th><th>ferr_ap_suprime_nb816</th><th>m_suprime_g</th><th>merr_suprime_g</th><th>f_ap_suprime_g</th><th>ferr_ap_suprime_g</th><th>m_suprime_r</th><th>merr_suprime_r</th><th>f_ap_suprime_r</th><th>ferr_ap_suprime_r</th><th>m_suprime_i</th><th>merr_suprime_i</th><th>f_ap_suprime_i</th><th>ferr_ap_suprime_i</th><th>m_suprime_z</th><th>merr_suprime_z</th><th>f_ap_suprime_z</th><th>ferr_ap_suprime_z</th><th>m_suprime_y</th><th>merr_suprime_y</th><th>f_ap_suprime_y</th><th>ferr_ap_suprime_y</th><th>f_irac_i1</th><th>ferr_irac_i1</th><th>m_irac_i1</th><th>merr_irac_i1</th><th>f_irac_i2</th><th>ferr_irac_i2</th><th>m_irac_i2</th><th>merr_irac_i2</th><th>f_irac_i3</th><th>ferr_irac_i3</th><th>m_irac_i3</th><th>merr_irac_i3</th><th>f_irac_i4</th><th>ferr_irac_i4</th><th>m_irac_i4</th><th>merr_irac_i4</th><th>f_vista_ks</th><th>ferr_vista_ks</th><th>flag_vista_ks</th><th>m_ap_vista_ks</th><th>merr_ap_vista_ks</th><th>f_vista_y</th><th>ferr_vista_y</th><th>flag_vista_y</th><th>m_ap_vista_y</th><th>merr_ap_vista_y</th><th>f_vista_h</th><th>ferr_vista_h</th><th>flag_vista_h</th><th>m_ap_vista_h</th><th>merr_ap_vista_h</th><th>f_vista_j</th><th>ferr_vista_j</th><th>flag_vista_j</th><th>m_ap_vista_j</th><th>merr_ap_vista_j</th><th>f_suprime_b</th><th>ferr_suprime_b</th><th>flag_suprime_b</th><th>m_ap_suprime_b</th><th>merr_ap_suprime_b</th><th>f_suprime_v</th><th>ferr_suprime_v</th><th>flag_suprime_v</th><th>m_ap_suprime_v</th><th>merr_ap_suprime_v</th><th>f_suprime_ip</th><th>ferr_suprime_ip</th><th>flag_suprime_ip</th><th>m_ap_suprime_ip</th><th>merr_ap_suprime_ip</th><th>f_suprime_rc</th><th>ferr_suprime_rc</th><th>flag_suprime_rc</th><th>m_ap_suprime_rc</th><th>merr_ap_suprime_rc</th><th>f_suprime_zp</th><th>ferr_suprime_zp</th><th>flag_suprime_zp</th><th>m_ap_suprime_zp</th><th>merr_ap_suprime_zp</th><th>f_suprime_zpp</th><th>ferr_suprime_zpp</th><th>flag_suprime_zpp</th><th>m_ap_suprime_zpp</th><th>merr_ap_suprime_zpp</th><th>f_suprime_ia484</th><th>ferr_suprime_ia484</th><th>flag_suprime_ia484</th><th>m_ap_suprime_ia484</th><th>merr_ap_suprime_ia484</th><th>f_suprime_ia527</th><th>ferr_suprime_ia527</th><th>flag_suprime_ia527</th><th>m_ap_suprime_ia527</th><th>merr_ap_suprime_ia527</th><th>f_suprime_ia624</th><th>ferr_suprime_ia624</th><th>flag_suprime_ia624</th><th>m_ap_suprime_ia624</th><th>merr_ap_suprime_ia624</th><th>f_suprime_ia679</th><th>ferr_suprime_ia679</th><th>flag_suprime_ia679</th><th>m_ap_suprime_ia679</th><th>merr_ap_suprime_ia679</th><th>f_suprime_ia738</th><th>ferr_suprime_ia738</th><th>flag_suprime_ia738</th><th>m_ap_suprime_ia738</th><th>merr_ap_suprime_ia738</th><th>f_suprime_ia767</th><th>ferr_suprime_ia767</th><th>flag_suprime_ia767</th><th>m_ap_suprime_ia767</th><th>merr_ap_suprime_ia767</th><th>f_suprime_ib427</th><th>ferr_suprime_ib427</th><th>flag_suprime_ib427</th><th>m_ap_suprime_ib427</th><th>merr_ap_suprime_ib427</th><th>f_suprime_ib464</th><th>ferr_suprime_ib464</th><th>flag_suprime_ib464</th><th>m_ap_suprime_ib464</th><th>merr_ap_suprime_ib464</th><th>f_suprime_ib505</th><th>ferr_suprime_ib505</th><th>flag_suprime_ib505</th><th>m_ap_suprime_ib505</th><th>merr_ap_suprime_ib505</th><th>f_suprime_ib574</th><th>ferr_suprime_ib574</th><th>flag_suprime_ib574</th><th>m_ap_suprime_ib574</th><th>merr_ap_suprime_ib574</th><th>f_suprime_ib709</th><th>ferr_suprime_ib709</th><th>flag_suprime_ib709</th><th>m_ap_suprime_ib709</th><th>merr_ap_suprime_ib709</th><th>f_suprime_ib827</th><th>ferr_suprime_ib827</th><th>flag_suprime_ib827</th><th>m_ap_suprime_ib827</th><th>merr_ap_suprime_ib827</th><th>f_suprime_nb711</th><th>ferr_suprime_nb711</th><th>flag_suprime_nb711</th><th>m_ap_suprime_nb711</th><th>merr_ap_suprime_nb711</th><th>f_suprime_nb816</th><th>ferr_suprime_nb816</th><th>flag_suprime_nb816</th><th>m_ap_suprime_nb816</th><th>merr_ap_suprime_nb816</th><th>f_suprime_g</th><th>ferr_suprime_g</th><th>flag_suprime_g</th><th>m_ap_suprime_g</th><th>merr_ap_suprime_g</th><th>f_suprime_r</th><th>ferr_suprime_r</th><th>flag_suprime_r</th><th>m_ap_suprime_r</th><th>merr_ap_suprime_r</th><th>f_suprime_i</th><th>ferr_suprime_i</th><th>flag_suprime_i</th><th>m_ap_suprime_i</th><th>merr_ap_suprime_i</th><th>f_suprime_z</th><th>ferr_suprime_z</th><th>flag_suprime_z</th><th>m_ap_suprime_z</th><th>merr_ap_suprime_z</th><th>f_suprime_y</th><th>ferr_suprime_y</th><th>flag_suprime_y</th><th>m_ap_suprime_y</th><th>merr_ap_suprime_y</th><th>flag_irac_i1</th><th>flag_irac_i2</th><th>flag_irac_i3</th><th>flag_irac_i4</th><th>flag_merged</th><th>f_ap_wfc3_f140w</th><th>ferr_ap_wfc3_f140w</th><th>f_wfc3_f140w</th><th>ferr_wfc3_f140w</th><th>f_ap_wfc3_f160w</th><th>ferr_ap_wfc3_f160w</th><th>f_wfc3_f160w</th><th>ferr_wfc3_f160w</th><th>f_acs_f606w</th><th>ferr_acs_f606w</th><th>f_acs_f814w</th><th>ferr_acs_f814w</th><th>f_wfc3_f125w</th><th>ferr_wfc3_f125w</th><th>m_ap_wfc3_f140w</th><th>merr_ap_wfc3_f140w</th><th>m_wfc3_f140w</th><th>merr_wfc3_f140w</th><th>flag_wfc3_f140w</th><th>m_ap_wfc3_f160w</th><th>merr_ap_wfc3_f160w</th><th>m_wfc3_f160w</th><th>merr_wfc3_f160w</th><th>flag_wfc3_f160w</th><th>m_acs_f606w</th><th>merr_acs_f606w</th><th>flag_acs_f606w</th><th>m_acs_f814w</th><th>merr_acs_f814w</th><th>flag_acs_f814w</th><th>m_wfc3_f125w</th><th>merr_wfc3_f125w</th><th>flag_wfc3_f125w</th><th>m_megacam_u</th><th>merr_megacam_u</th><th>m_megacam_g</th><th>merr_megacam_g</th><th>m_megacam_r</th><th>merr_megacam_r</th><th>m_megacam_i</th><th>merr_megacam_i</th><th>m_megacam_z</th><th>merr_megacam_z</th><th>m_ap_megacam_u</th><th>merr_ap_megacam_u</th><th>m_ap_megacam_g</th><th>merr_ap_megacam_g</th><th>m_ap_megacam_r</th><th>merr_ap_megacam_r</th><th>m_ap_megacam_i</th><th>merr_ap_megacam_i</th><th>m_ap_megacam_z</th><th>merr_ap_megacam_z</th><th>f_megacam_u</th><th>ferr_megacam_u</th><th>flag_megacam_u</th><th>f_megacam_g</th><th>ferr_megacam_g</th><th>flag_megacam_g</th><th>f_megacam_r</th><th>ferr_megacam_r</th><th>flag_megacam_r</th><th>f_megacam_i</th><th>ferr_megacam_i</th><th>flag_megacam_i</th><th>f_megacam_z</th><th>ferr_megacam_z</th><th>flag_megacam_z</th><th>f_ap_megacam_u</th><th>ferr_ap_megacam_u</th><th>f_ap_megacam_g</th><th>ferr_ap_megacam_g</th><th>f_ap_megacam_r</th><th>ferr_ap_megacam_r</th><th>f_ap_megacam_i</th><th>ferr_ap_megacam_i</th><th>f_ap_megacam_z</th><th>ferr_ap_megacam_z</th><th>f_decam_g</th><th>f_decam_r</th><th>f_decam_z</th><th>ferr_decam_g</th><th>ferr_decam_r</th><th>ferr_decam_z</th><th>f_ap_decam_g</th><th>f_ap_decam_r</th><th>f_ap_decam_z</th><th>ferr_ap_decam_g</th><th>ferr_ap_decam_r</th><th>ferr_ap_decam_z</th><th>m_decam_g</th><th>merr_decam_g</th><th>flag_decam_g</th><th>m_decam_r</th><th>merr_decam_r</th><th>flag_decam_r</th><th>m_decam_z</th><th>merr_decam_z</th><th>flag_decam_z</th><th>m_ap_decam_g</th><th>merr_ap_decam_g</th><th>m_ap_decam_r</th><th>merr_ap_decam_r</th><th>m_ap_decam_z</th><th>merr_ap_decam_z</th><th>m_omegacam_u</th><th>merr_omegacam_u</th><th>m_omegacam_g</th><th>merr_omegacam_g</th><th>m_omegacam_r</th><th>merr_omegacam_r</th><th>m_omegacam_i</th><th>merr_omegacam_i</th><th>f_ap_omegacam_u</th><th>ferr_ap_omegacam_u</th><th>f_ap_omegacam_g</th><th>ferr_ap_omegacam_g</th><th>f_ap_omegacam_r</th><th>ferr_ap_omegacam_r</th><th>f_ap_omegacam_i</th><th>ferr_ap_omegacam_i</th><th>f_omegacam_u</th><th>ferr_omegacam_u</th><th>flag_omegacam_u</th><th>f_omegacam_g</th><th>ferr_omegacam_g</th><th>flag_omegacam_g</th><th>f_omegacam_r</th><th>ferr_omegacam_r</th><th>flag_omegacam_r</th><th>f_omegacam_i</th><th>ferr_omegacam_i</th><th>flag_omegacam_i</th><th>m_ap_omegacam_u</th><th>merr_ap_omegacam_u</th><th>m_ap_omegacam_g</th><th>merr_ap_omegacam_g</th><th>m_ap_omegacam_r</th><th>merr_ap_omegacam_r</th><th>m_ap_omegacam_i</th><th>merr_ap_omegacam_i</th><th>m_ukidss_y</th><th>merr_ukidss_y</th><th>m_ap_ukidss_y</th><th>merr_ap_ukidss_y</th><th>m_ukidss_j</th><th>merr_ukidss_j</th><th>m_ap_ukidss_j</th><th>merr_ap_ukidss_j</th><th>m_ap_ukidss_h</th><th>merr_ap_ukidss_h</th><th>m_ukidss_h</th><th>merr_ukidss_h</th><th>m_ap_ukidss_k</th><th>merr_ap_ukidss_k</th><th>m_ukidss_k</th><th>merr_ukidss_k</th><th>f_ukidss_y</th><th>ferr_ukidss_y</th><th>flag_ukidss_y</th><th>f_ap_ukidss_y</th><th>ferr_ap_ukidss_y</th><th>f_ukidss_j</th><th>ferr_ukidss_j</th><th>flag_ukidss_j</th><th>f_ap_ukidss_j</th><th>ferr_ap_ukidss_j</th><th>f_ap_ukidss_h</th><th>ferr_ap_ukidss_h</th><th>f_ukidss_h</th><th>ferr_ukidss_h</th><th>flag_ukidss_h</th><th>f_ap_ukidss_k</th><th>ferr_ap_ukidss_k</th><th>f_ukidss_k</th><th>ferr_ukidss_k</th><th>flag_ukidss_k</th><th>m_wircam_j</th><th>merr_wircam_j</th><th>m_ap_wircam_j</th><th>merr_ap_wircam_j</th><th>m_wirds_h</th><th>merr_wirds_h</th><th>m_ap_wirds_h</th><th>merr_ap_wirds_h</th><th>m_wirds_k</th><th>merr_wirds_k</th><th>m_ap_wirds_k</th><th>merr_ap_wirds_k</th><th>f_wircam_j</th><th>ferr_wircam_j</th><th>flag_wircam_j</th><th>f_ap_wircam_j</th><th>ferr_ap_wircam_j</th><th>f_wirds_h</th><th>ferr_wirds_h</th><th>flag_wirds_h</th><th>f_ap_wirds_h</th><th>ferr_ap_wirds_h</th><th>f_wirds_k</th><th>ferr_wirds_k</th><th>flag_wirds_k</th><th>f_ap_wirds_k</th><th>ferr_ap_wirds_k</th><th>m_ap_gpc1_g</th><th>merr_ap_gpc1_g</th><th>m_gpc1_g</th><th>merr_gpc1_g</th><th>m_ap_gpc1_r</th><th>merr_ap_gpc1_r</th><th>m_gpc1_r</th><th>merr_gpc1_r</th><th>m_ap_gpc1_i</th><th>merr_ap_gpc1_i</th><th>m_gpc1_i</th><th>merr_gpc1_i</th><th>m_ap_gpc1_z</th><th>merr_ap_gpc1_z</th><th>m_gpc1_z</th><th>merr_gpc1_z</th><th>m_ap_gpc1_y</th><th>merr_ap_gpc1_y</th><th>m_gpc1_y</th><th>merr_gpc1_y</th><th>f_ap_gpc1_g</th><th>ferr_ap_gpc1_g</th><th>f_gpc1_g</th><th>ferr_gpc1_g</th><th>flag_gpc1_g</th><th>f_ap_gpc1_r</th><th>ferr_ap_gpc1_r</th><th>f_gpc1_r</th><th>ferr_gpc1_r</th><th>flag_gpc1_r</th><th>f_ap_gpc1_i</th><th>ferr_ap_gpc1_i</th><th>f_gpc1_i</th><th>ferr_gpc1_i</th><th>flag_gpc1_i</th><th>f_ap_gpc1_z</th><th>ferr_ap_gpc1_z</th><th>f_gpc1_z</th><th>ferr_gpc1_z</th><th>flag_gpc1_z</th><th>f_ap_gpc1_y</th><th>ferr_ap_gpc1_y</th><th>f_gpc1_y</th><th>ferr_gpc1_y</th><th>flag_gpc1_y</th><th>flag_cleaned</th><th>flag_gaia</th><th>stellarity</th><th>stellarity_origin</th><th>ebv</th><th>help_id</th><th>field</th><th>zspec</th><th>zspec_qual</th><th>zspec_association_flag</th><th>flag_optnir_obs</th><th>flag_optnir_det</th><th>hp_idx</th></tr></thead>\n",
       "<thead><tr><th>deg</th><th>deg</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
       "<thead><tr><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><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><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>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>bool</th><th>bool</th><th>bool</th><th>bool</th><th>bool</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>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>bool</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>bool</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>bool</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>bool</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>bool</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>bool</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>bool</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>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</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>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</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>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>bool</th><th>int64</th><th>float64</th><th>bytes20</th><th>float64</th><th>bytes27</th><th>str18</th><th>float64</th><th>int64</th><th>bool</th><th>int64</th><th>int64</th><th>int64</th></tr></thead>\n",
       "<tr><td>150.01111381735552</td><td>2.192442575241505</td><td>nan</td><td>nan</td><td>-7.143781112972647e-05</td><td>0.08761459589004517</td><td>nan</td><td>nan</td><td>-0.07127027213573456</td><td>0.08438189327716827</td><td>nan</td><td>nan</td><td>-0.11139580607414246</td><td>0.12990745902061462</td><td>27.46224594116211</td><td>1.1039042472839355</td><td>0.038209687918424606</td><td>0.09615727514028549</td><td>30.890501022338867</td><td>3.585667133331299</td><td>0.0016562319360673428</td><td>0.007698666304349899</td><td>nan</td><td>nan</td><td>-0.01976420357823372</td><td>0.02070019394159317</td><td>28.249513626098633</td><td>0.7162254452705383</td><td>0.018439367413520813</td><td>0.01799066923558712</td><td>29.986238479614258</td><td>2.807568311691284</td><td>0.003699777415022254</td><td>0.014778378419578075</td><td>26.66342544555664</td><td>0.5644126534461975</td><td>0.07795049995183945</td><td>0.06130094826221466</td><td>27.29412841796875</td><td>0.4044199585914612</td><td>0.051023390144109726</td><td>0.03690068796277046</td><td>nan</td><td>nan</td><td>-0.009666341356933117</td><td>0.029409224167466164</td><td>nan</td><td>nan</td><td>-0.016005707904696465</td><td>0.03265386074781418</td><td>nan</td><td>nan</td><td>-0.004477129317820072</td><td>0.033755116164684296</td><td>30.77935791015625</td><td>17.64715576171875</td><td>-0.003378424560651183</td><td>0.07055199891328812</td><td>28.28899383544922</td><td>1.8861123323440552</td><td>0.014674542471766472</td><td>0.044117070734500885</td><td>nan</td><td>nan</td><td>-0.01742132008075714</td><td>0.07212226837873459</td><td>nan</td><td>nan</td><td>-0.07815203070640564</td><td>0.04253890737891197</td><td>nan</td><td>nan</td><td>-0.09575548022985458</td><td>0.06838228553533554</td><td>nan</td><td>nan</td><td>-0.05809100717306137</td><td>0.04010551795363426</td><td>nan</td><td>nan</td><td>-0.058432113379240036</td><td>0.05729106441140175</td><td>nan</td><td>nan</td><td>-0.050253842025995255</td><td>0.05198172479867935</td><td>nan</td><td>nan</td><td>-0.0048199910670518875</td><td>0.06900870054960251</td><td>nan</td><td>nan</td><td>-0.040639933198690414</td><td>0.08104649186134338</td><td>nan</td><td>nan</td><td>-0.14550593495368958</td><td>0.058394964784383774</td><td>29.198944091796875</td><td>0.42687657475471497</td><td>0.007772349752485752</td><td>0.004176230635493994</td><td>29.141324996948242</td><td>0.5594386458396912</td><td>0.00826561264693737</td><td>0.005526460241526365</td><td>27.670536041259766</td><td>0.1534588485956192</td><td>0.03130528703331947</td><td>0.006339766085147858</td><td>27.27435302734375</td><td>0.18274720013141632</td><td>0.045279379934072495</td><td>0.010182861238718033</td><td>26.954992294311523</td><td>0.27317044138908386</td><td>0.05998900905251503</td><td>0.02133263647556305</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1331.5963134765625</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.2854795455932617</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.2661628723144531</td><td>0.03759251534938812</td><td>0.038221560418605804</td><td>False</td><td>27.44457244873047</td><td>2.7323288917541504</td><td>0.0015988188097253442</td><td>0.005280133802443743</td><td>False</td><td>30.852203369140625</td><td>5.046829700469971</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.1371543407440186</td><td>0.018205150961875916</td><td>0.01200935523957014</td><td>False</td><td>28.235633850097656</td><td>1.0593161582946777</td><td>0.003677088301628828</td><td>0.009508457966148853</td><td>False</td><td>29.97956085205078</td><td>4.336860656738281</td><td>0.07845660299062729</td><td>0.040785133838653564</td><td>False</td><td>26.670455932617188</td><td>0.8538322448730469</td><td>0.04388825222849846</td><td>0.016347695142030716</td><td>False</td><td>27.130577087402344</td><td>0.7852165102958679</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-3.3032824993133545</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.215052366256714</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-8.185859680175781</td><td>0.0017711553955450654</td><td>0.028787706047296524</td><td>False</td><td>nan</td><td>-22.673542022705078</td><td>0.01755506359040737</td><td>0.03049619309604168</td><td>False</td><td>28.48358917236328</td><td>3.2641220092773438</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-4.494823455810547</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.5909767746925354</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.7753615975379944</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.7495826482772827</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.064534068107605</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.1230671405792236</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-15.544684410095215</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.1652376651763916</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.43573153018951416</td><td>0.0075931609608232975</td><td>0.0029853868763893843</td><td>False</td><td>29.173622131347656</td><td>0.5833865404129028</td><td>0.008007003925740719</td><td>0.004125704988837242</td><td>False</td><td>29.10681915283203</td><td>0.7259326577186584</td><td>0.031030267477035522</td><td>0.004385843873023987</td><td>False</td><td>27.66095733642578</td><td>0.21987701952457428</td><td>0.04469495639204979</td><td>0.007522894535213709</td><td>False</td><td>27.26024627685547</td><td>0.24417075514793396</td><td>0.05997948348522186</td><td>0.015090794302523136</td><td>False</td><td>26.954818725585938</td><td>0.38609766960144043</td><td>False</td><td>False</td><td>False</td><td>False</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>30.506141662597656</td><td>2.835378408432007</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>30.31981658935547</td><td>3.939972400665283</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.0022779437713325024</td><td>0.005948804784566164</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>0.0027044278103858232</td><td>0.009813959710299969</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td>nan</td><td>NO_INFORMATION</td><td>0.01675545689680493</td><td>HELP_J100002.667+021132.793</td><td>COSMOS</td><td>nan</td><td>-99</td><td>False</td><td>3</td><td>1</td><td>446599713</td></tr>\n",
       "<tr><td>149.89527000388884</td><td>2.032169659077728</td><td>nan</td><td>nan</td><td>-0.00019395927665755153</td><td>0.08387299627065659</td><td>26.702678680419922</td><td>0.483477920293808</td><td>0.07634279876947403</td><td>0.0907212495803833</td><td>nan</td><td>nan</td><td>-0.11550061404705048</td><td>0.1303538680076599</td><td>26.713773727416992</td><td>0.5712833404541016</td><td>0.07143852114677429</td><td>0.10096349567174911</td><td>30.507349014282227</td><td>2.6825051307678223</td><td>0.00207364559173584</td><td>0.008347542025148869</td><td>28.258895874023438</td><td>0.6437541842460632</td><td>0.01872871071100235</td><td>0.0221642404794693</td><td>29.0689754486084</td><td>1.5852185487747192</td><td>0.008089044131338596</td><td>0.019053833559155464</td><td>28.25533676147461</td><td>0.5220865607261658</td><td>0.01794377900660038</td><td>0.013781138695776463</td><td>27.880739212036133</td><td>1.5495346784591675</td><td>0.024412136524915695</td><td>0.05585750192403793</td><td>27.900243759155273</td><td>0.6372985243797302</td><td>0.019587431102991104</td><td>0.033873263746500015</td><td>27.425079345703125</td><td>0.46982863545417786</td><td>0.037790827453136444</td><td>0.025824597105383873</td><td>nan</td><td>nan</td><td>-0.03646302595734596</td><td>0.029616914689540863</td><td>28.397769927978516</td><td>1.416757583618164</td><td>0.01355768647044897</td><td>0.029698757454752922</td><td>27.975351333618164</td><td>1.1666958332061768</td><td>0.02814156375825405</td><td>0.06282488256692886</td><td>26.64455223083496</td><td>0.3890354633331299</td><td>0.08024081587791443</td><td>0.04217413440346718</td><td>nan</td><td>nan</td><td>-0.04550497978925705</td><td>0.06094759702682495</td><td>26.19605827331543</td><td>0.19919468462467194</td><td>0.11599920690059662</td><td>0.04549963399767876</td><td>26.757490158081055</td><td>0.35855934023857117</td><td>0.07755786180496216</td><td>0.07370378822088242</td><td>nan</td><td>nan</td><td>-0.0398276261985302</td><td>0.04040583223104477</td><td>26.997886657714844</td><td>0.482620507478714</td><td>0.05787275731563568</td><td>0.06106195226311684</td><td>26.921485900878906</td><td>0.4240541160106659</td><td>0.05784732848405838</td><td>0.05283138528466225</td><td>26.83539581298828</td><td>0.505883514881134</td><td>0.05826892331242561</td><td>0.0764487162232399</td><td>27.50861930847168</td><td>1.9769433736801147</td><td>0.036203332245349884</td><td>0.08039114624261856</td><td>nan</td><td>nan</td><td>-0.02985192835330963</td><td>0.053058184683322906</td><td>28.09859275817871</td><td>0.1733924299478531</td><td>0.02046932838857174</td><td>0.0047391196712851524</td><td>28.003780364990234</td><td>0.1954907923936844</td><td>0.022923482581973076</td><td>0.005598369985818863</td><td>27.829713821411133</td><td>0.1813306361436844</td><td>0.026932377368211746</td><td>0.006576915737241507</td><td>28.138015747070312</td><td>0.413509726524353</td><td>0.019762752577662468</td><td>0.010572525672614574</td><td>27.828920364379883</td><td>0.6169399619102478</td><td>0.0266637671738863</td><td>0.021928369998931885</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-469.5003356933594</td><td>0.07567077875137329</td><td>0.033696167171001434</td><td>False</td><td>26.693077087402344</td><td>1.2902244329452515</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.2253607511520386</td><td>0.07490145415067673</td><td>0.03941100463271141</td><td>False</td><td>26.765174865722656</td><td>1.534462332725525</td><td>0.002275414066389203</td><td>0.005621816962957382</td><td>False</td><td>30.60816192626953</td><td>4.370674133300781</td><td>0.018048519268631935</td><td>0.010701319202780724</td><td>False</td><td>28.218734741210938</td><td>1.2848998308181763</td><td>0.008558728732168674</td><td>0.012496089562773705</td><td>False</td><td>29.13025665283203</td><td>2.5574636459350586</td><td>0.018107770010828972</td><td>0.008707292377948761</td><td>False</td><td>28.265220642089844</td><td>0.8338644504547119</td><td>0.025568446144461632</td><td>0.03649062663316727</td><td>False</td><td>27.930984497070312</td><td>2.4842770099639893</td><td>0.025113215669989586</td><td>0.014740795828402042</td><td>False</td><td>28.170059204101562</td><td>1.8776034116744995</td><td>0.038901668041944504</td><td>0.016833847388625145</td><td>False</td><td>27.45653533935547</td><td>0.7419445514678955</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.8818839192390442</td><td>0.01588151603937149</td><td>0.020723504945635796</td><td>False</td><td>28.569541931152344</td><td>2.378356695175171</td><td>0.02343469113111496</td><td>0.02518213540315628</td><td>False</td><td>27.776634216308594</td><td>2.423861026763916</td><td>0.07983232289552689</td><td>0.028605112805962563</td><td>False</td><td>26.639015197753906</td><td>0.570656955242157</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.4541926383972168</td><td>0.1206636130809784</td><td>0.022137559950351715</td><td>False</td><td>26.238861083984375</td><td>0.4258701205253601</td><td>0.07194551080465317</td><td>0.023759670555591583</td><td>False</td><td>26.675941467285156</td><td>1.0317827463150024</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.1014986038208008</td><td>0.05765608698129654</td><td>0.025628702715039253</td><td>False</td><td>26.993812561035156</td><td>1.145567774772644</td><td>0.06185939535498619</td><td>0.024160318076610565</td><td>False</td><td>26.994293212890625</td><td>0.9915919899940491</td><td>0.06696400791406631</td><td>0.031200936064124107</td><td>False</td><td>26.986404418945312</td><td>1.4244836568832397</td><td>0.036020684987306595</td><td>0.0655876100063324</td><td>False</td><td>27.503128051757812</td><td>2.410926580429077</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.9297643899917603</td><td>0.020920054987072945</td><td>0.003340939525514841</td><td>False</td><td>28.12224578857422</td><td>0.2513728737831116</td><td>0.02282903902232647</td><td>0.004110452253371477</td><td>False</td><td>27.999298095703125</td><td>0.26515835523605347</td><td>0.02679874189198017</td><td>0.004475703462958336</td><td>False</td><td>27.824317932128906</td><td>0.2651379406452179</td><td>0.020174061879515648</td><td>0.007683423813432455</td><td>False</td><td>28.160385131835938</td><td>0.5808387994766235</td><td>0.02681831642985344</td><td>0.015238777734339237</td><td>False</td><td>27.83519744873047</td><td>0.8929129838943481</td><td>False</td><td>False</td><td>False</td><td>False</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>28.998620986938477</td><td>0.6130252480506897</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>28.94952392578125</td><td>0.9842702150344849</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.009131691418588161</td><td>0.0051559098064899445</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>0.009554101154208183</td><td>0.008661236613988876</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td>nan</td><td>NO_INFORMATION</td><td>0.016851083816317718</td><td>HELP_J095934.865+020155.811</td><td>COSMOS</td><td>nan</td><td>-99</td><td>False</td><td>3</td><td>1</td><td>446596281</td></tr>\n",
       "<tr><td>149.94639760786296</td><td>2.0850229664134954</td><td>nan</td><td>nan</td><td>-0.00020265052444301546</td><td>0.08110155910253525</td><td>nan</td><td>nan</td><td>-0.042259056121110916</td><td>0.08198080211877823</td><td>nan</td><td>nan</td><td>-0.09431750327348709</td><td>0.11662588268518448</td><td>26.28765106201172</td><td>0.34328436851501465</td><td>0.10971668362617493</td><td>0.08878953754901886</td><td>28.24109649658203</td><td>0.2901470363140106</td><td>0.018141893669962883</td><td>0.007195715792477131</td><td>27.9847412109375</td><td>0.43011388182640076</td><td>0.024442939087748528</td><td>0.018847240135073662</td><td>26.582990646362305</td><td>0.15866291522979736</td><td>0.08398737013339996</td><td>0.018617771565914154</td><td>26.880693435668945</td><td>0.16429567337036133</td><td>0.06403210014104843</td><td>0.01519892830401659</td><td>26.467557907104492</td><td>0.42678067088127136</td><td>0.0896851047873497</td><td>0.05586421489715576</td><td>28.947036743164062</td><td>1.6561305522918701</td><td>0.006037413142621517</td><td>0.03318022936582565</td><td>26.78464126586914</td><td>0.3026154041290283</td><td>0.06896522641181946</td><td>0.02966099977493286</td><td>nan</td><td>nan</td><td>-0.002368312329053879</td><td>0.033935703337192535</td><td>27.536035537719727</td><td>0.7541347146034241</td><td>0.03319007530808449</td><td>0.034534163773059845</td><td>26.76556968688965</td><td>0.3902173936367035</td><td>0.06745205819606781</td><td>0.06330753862857819</td><td>31.46420669555664</td><td>31.736263275146484</td><td>0.00026704720221459866</td><td>0.04012002795934677</td><td>30.934616088867188</td><td>21.959352493286133</td><td>0.0007931957370601594</td><td>0.06378444284200668</td><td>28.84283447265625</td><td>1.962883710861206</td><td>0.018040731549263</td><td>0.03871522471308708</td><td>26.56549835205078</td><td>0.2755134403705597</td><td>0.09436947107315063</td><td>0.06681179255247116</td><td>28.29936408996582</td><td>1.3396939039230347</td><td>0.01679317094385624</td><td>0.03451550379395485</td><td>27.21335792541504</td><td>0.6227930784225464</td><td>0.04361340031027794</td><td>0.06380973011255264</td><td>26.548641204833984</td><td>0.2747805714607239</td><td>0.08169436454772949</td><td>0.04768110811710358</td><td>26.552366256713867</td><td>0.3462561070919037</td><td>0.087849922478199</td><td>0.06712005287408829</td><td>28.660037994384766</td><td>5.349228382110596</td><td>0.013567266054451466</td><td>0.07443264871835709</td><td>27.410268783569336</td><td>0.6435453295707703</td><td>0.0370185524225235</td><td>0.053212642669677734</td><td>28.002946853637695</td><td>0.15900525450706482</td><td>0.0223227571696043</td><td>0.004697836935520172</td><td>27.475189208984375</td><td>0.1241111159324646</td><td>0.03705143928527832</td><td>0.0057213520631194115</td><td>26.934730529785156</td><td>0.08437356352806091</td><td>0.06104639917612076</td><td>0.00690304534509778</td><td>26.382482528686523</td><td>0.08812680840492249</td><td>0.1008562296628952</td><td>0.01122411247342825</td><td>26.572967529296875</td><td>0.1931566596031189</td><td>0.08462630957365036</td><td>0.021581564098596573</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-434.5160217285156</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.1062827110290527</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.3425391912460327</td><td>0.11090203374624252</td><td>0.03506462648510933</td><td>False</td><td>26.29932403564453</td><td>0.8786449432373047</td><td>0.018346838653087616</td><td>0.004902923014014959</td><td>False</td><td>28.2532958984375</td><td>0.4306412935256958</td><td>0.02323288656771183</td><td>0.009203696623444557</td><td>False</td><td>27.92961883544922</td><td>0.8371796011924744</td><td>0.08448966592550278</td><td>0.01234680786728859</td><td>False</td><td>26.58946990966797</td><td>0.24067892134189606</td><td>0.06422773003578186</td><td>0.00971906166523695</td><td>False</td><td>26.884002685546875</td><td>0.2577148973941803</td><td>0.09396728873252869</td><td>0.03693661466240883</td><td>False</td><td>26.51819610595703</td><td>0.6762973666191101</td><td>0.00957601796835661</td><td>0.014606804586946964</td><td>False</td><td>29.4478759765625</td><td>5.966955184936523</td><td>0.07016866654157639</td><td>0.019557347521185875</td><td>False</td><td>26.803428649902344</td><td>0.46696025133132935</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-15.557584762573242</td><td>0.03512251749634743</td><td>0.0243955310434103</td><td>False</td><td>27.59748077392578</td><td>1.1297049522399902</td><td>0.07141216099262238</td><td>0.025665780529379845</td><td>False</td><td>26.8275146484375</td><td>1.0190242528915405</td><td>0.0009425785974599421</td><td>0.027551740407943726</td><td>False</td><td>32.833526611328125</td><td>163.11636352539062</td><td>0.0015351591864600778</td><td>0.031049072742462158</td><td>False</td><td>31.65155029296875</td><td>87.3089370727539</td><td>0.010540622286498547</td><td>0.019056208431720734</td><td>False</td><td>28.259368896484375</td><td>2.3299784660339355</td><td>0.0858619436621666</td><td>0.021788090467453003</td><td>False</td><td>26.462928771972656</td><td>0.7686806321144104</td><td>0.01738819107413292</td><td>0.021455351263284683</td><td>False</td><td>28.337173461914062</td><td>2.2315456867218018</td><td>0.04727775976061821</td><td>0.027119165286421776</td><td>False</td><td>27.300949096679688</td><td>1.588514804840088</td><td>0.08720535784959793</td><td>0.022070128470659256</td><td>False</td><td>26.61951446533203</td><td>0.6336924433708191</td><td>0.08690675348043442</td><td>0.02771575003862381</td><td>False</td><td>26.5406494140625</td><td>0.829535961151123</td><td>0.012473388575017452</td><td>0.061454158276319504</td><td>False</td><td>28.568771362304688</td><td>5.956558704376221</td><td>0.03943596035242081</td><td>0.023374764248728752</td><td>False</td><td>27.47895050048828</td><td>1.5607008934020996</td><td>0.022846564650535583</td><td>0.003345862263813615</td><td>False</td><td>28.02812957763672</td><td>0.22849377989768982</td><td>0.037147052586078644</td><td>0.0042463005520403385</td><td>False</td><td>27.477989196777344</td><td>0.16765552759170532</td><td>0.061109334230422974</td><td>0.004748862702399492</td><td>False</td><td>26.93585205078125</td><td>0.12277358770370483</td><td>0.1016264259815216</td><td>0.008248792961239815</td><td>False</td><td>26.3907470703125</td><td>0.12082966417074203</td><td>0.08527325838804245</td><td>0.015170441009104252</td><td>False</td><td>26.58123779296875</td><td>0.276886522769928</td><td>False</td><td>False</td><td>False</td><td>False</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>29.43044090270996</td><td>1.0311198234558105</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>29.47265625</td><td>1.7796101570129395</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.006135128904134035</td><td>0.005826510488986969</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>0.00590119743719697</td><td>0.009672543965280056</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td>nan</td><td>NO_INFORMATION</td><td>0.017012827049016712</td><td>HELP_J095947.135+020506.083</td><td>COSMOS</td><td>nan</td><td>-99</td><td>False</td><td>3</td><td>1</td><td>446596351</td></tr>\n",
       "<tr><td>150.16308167070508</td><td>2.12045061974924</td><td>31.21757698059082</td><td>23.256677627563477</td><td>-0.00023533633793704212</td><td>0.06064453348517418</td><td>26.743955612182617</td><td>0.13676214218139648</td><td>0.07346689701080322</td><td>0.02586330659687519</td><td>26.86260223388672</td><td>0.26962515711784363</td><td>0.06689852476119995</td><td>0.042007725685834885</td><td>27.543190002441406</td><td>0.3561824858188629</td><td>0.03478781878948212</td><td>0.030688663944602013</td><td>28.42806625366211</td><td>0.3817487061023712</td><td>0.015400724485516548</td><td>0.008037821389734745</td><td>29.178539276123047</td><td>1.4329144954681396</td><td>0.0073609985411167145</td><td>0.02108178101480007</td><td>27.41952133178711</td><td>0.3648669123649597</td><td>0.03868308290839195</td><td>0.019980067387223244</td><td>28.07333755493164</td><td>0.4826606512069702</td><td>0.021472400054335594</td><td>0.015018142759799957</td><td>nan</td><td>nan</td><td>-0.07492247223854065</td><td>0.06191673502326012</td><td>nan</td><td>nan</td><td>-0.07301140576601028</td><td>0.03776438906788826</td><td>26.77779197692871</td><td>0.34122416377067566</td><td>0.06972229480743408</td><td>0.03396551311016083</td><td>27.361221313476562</td><td>0.5518125891685486</td><td>0.04205494374036789</td><td>0.036515939980745316</td><td>26.625202178955078</td><td>0.35605907440185547</td><td>0.08126847445964813</td><td>0.03807372972369194</td><td>27.481477737426758</td><td>0.9407538175582886</td><td>0.04339492321014404</td><td>0.07961063086986542</td><td>nan</td><td>nan</td><td>-0.030473915860056877</td><td>0.045932210981845856</td><td>26.820446014404297</td><td>0.5397464632987976</td><td>0.05889482423663139</td><td>0.06992612779140472</td><td>27.477628707885742</td><td>0.6431403160095215</td><td>0.036663759499788284</td><td>0.04498744010925293</td><td>28.801538467407227</td><td>2.196971893310547</td><td>0.020358014851808548</td><td>0.06851669400930405</td><td>nan</td><td>nan</td><td>0.0006231726729311049</td><td>0.03953983634710312</td><td>26.80876350402832</td><td>0.3869730830192566</td><td>0.06283078342676163</td><td>0.05811654403805733</td><td>nan</td><td>nan</td><td>-0.0234389565885067</td><td>0.057053208351135254</td><td>27.784912109375</td><td>1.2708497047424316</td><td>0.03057662770152092</td><td>0.07984539866447449</td><td>26.91005516052246</td><td>1.0663167238235474</td><td>0.06409043818712234</td><td>0.07505632936954498</td><td>26.525859832763672</td><td>0.38880595564842224</td><td>0.09968823939561844</td><td>0.07321324944496155</td><td>28.22821044921875</td><td>0.18851785361766815</td><td>0.018686436116695404</td><td>0.0045692590065300465</td><td>28.953819274902344</td><td>0.44623881578445435</td><td>0.009618081152439117</td><td>0.005314015783369541</td><td>27.743038177490234</td><td>0.16655485332012177</td><td>0.028883444145321846</td><td>0.006521124392747879</td><td>28.027772903442383</td><td>0.3607248365879059</td><td>0.02203148417174816</td><td>0.010179160162806511</td><td>28.411998748779297</td><td>0.9881207346916199</td><td>0.014871041290462017</td><td>0.020462483167648315</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.0011829582508653402</td><td>0.025339193642139435</td><td>False</td><td>nan</td><td>-279.7866516113281</td><td>0.07284800708293915</td><td>0.009176123887300491</td><td>False</td><td>26.734771728515625</td><td>0.38222283124923706</td><td>0.0653069019317627</td><td>0.016217920929193497</td><td>False</td><td>26.836463928222656</td><td>0.681768536567688</td><td>0.034891821444034576</td><td>0.011446477845311165</td><td>False</td><td>27.546432495117188</td><td>0.9578006267547607</td><td>0.015444476157426834</td><td>0.005430332850664854</td><td>False</td><td>28.43114471435547</td><td>0.566658616065979</td><td>0.007737205363810062</td><td>0.0102112777531147</td><td>False</td><td>29.23265838623047</td><td>3.1095309257507324</td><td>0.03910130262374878</td><td>0.013140182010829449</td><td>False</td><td>27.431198120117188</td><td>0.5607898831367493</td><td>0.02141236513853073</td><td>0.009518800303339958</td><td>False</td><td>28.070297241210938</td><td>0.7593813538551331</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.8972639441490173</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.5615857243537903</td><td>0.07061275839805603</td><td>0.022192111238837242</td><td>False</td><td>26.79157257080078</td><td>0.5289210081100464</td><td>0.041258305311203</td><td>0.020969046279788017</td><td>False</td><td>27.34046173095703</td><td>0.9427351951599121</td><td>0.08126784861087799</td><td>0.026651185005903244</td><td>False</td><td>26.625198364257812</td><td>0.5086600184440613</td><td>0.03693248704075813</td><td>0.03200075402855873</td><td>False</td><td>27.30640411376953</td><td>1.9918490648269653</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.6364901065826416</td><td>0.06789244711399078</td><td>0.033751022070646286</td><td>False</td><td>26.974807739257812</td><td>1.289100170135498</td><td>0.037063658237457275</td><td>0.021954810246825218</td><td>False</td><td>27.489410400390625</td><td>1.3322280645370483</td><td>0.010949249379336834</td><td>0.022155653685331345</td><td>False</td><td>28.12816619873047</td><td>3.6541407108306885</td><td>nan</td><td>nan</td><td>False</td><td>31.913475036621094</td><td>68.8891372680664</td><td>0.06862691044807434</td><td>0.024459687992930412</td><td>False</td><td>26.904571533203125</td><td>1.0042725801467896</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.6428110599517822</td><td>0.027927683666348457</td><td>0.03268923610448837</td><td>False</td><td>27.68653106689453</td><td>2.8352057933807373</td><td>0.0625140443444252</td><td>0.06139592453837395</td><td>False</td><td>26.883018493652344</td><td>1.2715059518814087</td><td>0.08905453234910965</td><td>0.03189074248075485</td><td>False</td><td>26.40338897705078</td><td>0.7973886728286743</td><td>0.018565893173217773</td><td>0.0032236212864518166</td><td>False</td><td>28.22118377685547</td><td>0.2654872238636017</td><td>0.009516379795968533</td><td>0.003911242820322514</td><td>False</td><td>28.942276000976562</td><td>0.5998721122741699</td><td>0.029025837779045105</td><td>0.00445264158770442</td><td>False</td><td>27.748374938964844</td><td>0.2451307773590088</td><td>0.022330105304718018</td><td>0.007418951019644737</td><td>False</td><td>28.042388916015625</td><td>0.5016403794288635</td><td>0.015674743801355362</td><td>0.014265471138060093</td><td>False</td><td>28.469154357910156</td><td>1.493967890739441</td><td>False</td><td>False</td><td>False</td><td>False</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>28.29942512512207</td><td>0.4257071912288666</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>28.295486450195312</td><td>0.7103129625320435</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.01738719828426838</td><td>0.006817360874265432</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>0.017450381070375443</td><td>0.011416430585086346</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td>nan</td><td>NO_INFORMATION</td><td>0.014714813487297519</td><td>HELP_J100039.140+020713.622</td><td>COSMOS</td><td>nan</td><td>-99</td><td>False</td><td>3</td><td>3</td><td>446577343</td></tr>\n",
       "<tr><td>149.89645559700196</td><td>1.9807287648173821</td><td>nan</td><td>nan</td><td>-0.0003477936261333525</td><td>0.08000727742910385</td><td>25.88913345336914</td><td>0.2162204086780548</td><td>0.1734151989221573</td><td>0.08020050078630447</td><td>25.71501350402832</td><td>0.3039874732494354</td><td>0.19446423649787903</td><td>0.12092693150043488</td><td>nan</td><td>nan</td><td>-0.06501373648643494</td><td>0.09174447506666183</td><td>27.04479217529297</td><td>0.11758483201265335</td><td>0.053356997668743134</td><td>0.008309649303555489</td><td>27.082496643066406</td><td>0.22265492379665375</td><td>0.04707759618759155</td><td>0.021150486543774605</td><td>27.094606399536133</td><td>0.2884660065174103</td><td>0.05027208477258682</td><td>0.02001536451280117</td><td>26.80643653869629</td><td>0.15652333199977875</td><td>0.06768909096717834</td><td>0.01466301642358303</td><td>26.98676872253418</td><td>0.7788417935371399</td><td>0.05909017473459244</td><td>0.05971342697739601</td><td>26.850011825561523</td><td>0.2765355408191681</td><td>0.07879827171564102</td><td>0.0361427366733551</td><td>26.978179931640625</td><td>0.39971256256103516</td><td>0.05890452489256859</td><td>0.030944468453526497</td><td>29.900434494018555</td><td>5.450168609619141</td><td>0.006059904582798481</td><td>0.03259895741939545</td><td>27.124448776245117</td><td>0.5388506650924683</td><td>0.04745576158165932</td><td>0.03409246355295181</td><td>26.277339935302734</td><td>0.2722172141075134</td><td>0.06562226265668869</td><td>0.06541016697883606</td><td>27.540008544921875</td><td>1.01560640335083</td><td>0.03484947234392166</td><td>0.044949136674404144</td><td>26.943347930908203</td><td>0.644854724407196</td><td>0.050271522253751755</td><td>0.06997213512659073</td><td>27.579687118530273</td><td>0.7127448916435242</td><td>0.05755537748336792</td><td>0.04259417578577995</td><td>26.83843421936035</td><td>0.3872024118900299</td><td>0.09838972240686417</td><td>0.06907016038894653</td><td>30.07237434387207</td><td>9.278518676757812</td><td>0.010788902640342712</td><td>0.04415065050125122</td><td>27.830398559570312</td><td>1.0970335006713867</td><td>0.03596822917461395</td><td>0.060237109661102295</td><td>27.11537742614746</td><td>0.5330551862716675</td><td>0.05434141680598259</td><td>0.05189511552453041</td><td>26.016239166259766</td><td>0.24205726385116577</td><td>0.13035255670547485</td><td>0.07267279177904129</td><td>25.818950653076172</td><td>0.4190146028995514</td><td>0.16314806044101715</td><td>0.07547979056835175</td><td>26.751514434814453</td><td>0.3838454484939575</td><td>0.036701709032058716</td><td>0.05502429977059364</td><td>26.629018783569336</td><td>0.054385267198085785</td><td>0.07757662981748581</td><td>0.005468935705721378</td><td>26.674110412597656</td><td>0.06791653484106064</td><td>0.07624639570713043</td><td>0.006270979065448046</td><td>26.772314071655273</td><td>0.07691343873739243</td><td>0.06915678828954697</td><td>0.006954967975616455</td><td>26.79349708557129</td><td>0.131808340549469</td><td>0.06975837796926498</td><td>0.010923690162599087</td><td>26.63821029663086</td><td>0.22396542131900787</td><td>0.07830074429512024</td><td>0.022299248725175858</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-249.7653350830078</td><td>0.16008353233337402</td><td>0.03188005089759827</td><td>False</td><td>25.802284240722656</td><td>0.5021277666091919</td><td>0.18792927265167236</td><td>0.052616968750953674</td><td>False</td><td>25.677902221679688</td><td>0.6751613616943359</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.5321422815322876</td><td>0.05521830543875694</td><td>0.005980122368782759</td><td>False</td><td>27.08202362060547</td><td>0.16908909380435944</td><td>0.05333363637328148</td><td>0.010937276296317577</td><td>False</td><td>27.21796417236328</td><td>0.4877871870994568</td><td>0.05274210497736931</td><td>0.014012891799211502</td><td>False</td><td>27.146682739257812</td><td>0.43227577209472656</td><td>0.06877414882183075</td><td>0.009914709255099297</td><td>False</td><td>26.823707580566406</td><td>0.23519544303417206</td><td>0.058249495923519135</td><td>0.041784681379795074</td><td>False</td><td>26.971214294433594</td><td>1.0971879959106445</td><td>0.06606857478618622</td><td>0.016827575862407684</td><td>False</td><td>26.658706665039062</td><td>0.4979992210865021</td><td>0.05871212109923363</td><td>0.02161480113863945</td><td>False</td><td>26.974632263183594</td><td>0.5703726410865784</td><td>0.003979475703090429</td><td>0.019976137205958366</td><td>False</td><td>29.443832397460938</td><td>5.840663909912109</td><td>0.0513121634721756</td><td>0.02546621672809124</td><td>False</td><td>27.20928192138672</td><td>0.7799984216690063</td><td>0.11196020245552063</td><td>0.028070809319615364</td><td>False</td><td>26.857376098632812</td><td>1.082227110862732</td><td>0.0349942222237587</td><td>0.03273387625813484</td><td>False</td><td>27.544509887695312</td><td>1.4003914594650269</td><td>0.06062621995806694</td><td>0.036007922142744064</td><td>False</td><td>27.146697998046875</td><td>1.5112189054489136</td><td>0.03373842313885689</td><td>0.022148001939058304</td><td>False</td><td>26.999786376953125</td><td>0.8035050630569458</td><td>0.06677685678005219</td><td>0.023814402520656586</td><td>False</td><td>26.417625427246094</td><td>0.7621932029724121</td><td>0.003396641695871949</td><td>0.029027126729488373</td><td>False</td><td>28.81755828857422</td><td>4.443079948425293</td><td>0.026781829074025154</td><td>0.027060499414801598</td><td>False</td><td>27.51020050048828</td><td>1.818315863609314</td><td>0.05174269899725914</td><td>0.025403697043657303</td><td>False</td><td>27.062171936035156</td><td>1.0368592739105225</td><td>0.1423981636762619</td><td>0.031746670603752136</td><td>False</td><td>26.112205505371094</td><td>0.6053082346916199</td><td>0.17077310383319855</td><td>0.06590589880943298</td><td>False</td><td>25.868545532226562</td><td>0.5023114085197449</td><td>0.07234259694814682</td><td>0.02557561919093132</td><td>False</td><td>27.48828887939453</td><td>1.6277680397033691</td><td>0.08098272979259491</td><td>0.004056480713188648</td><td>False</td><td>26.675674438476562</td><td>0.07654136419296265</td><td>0.0776882916688919</td><td>0.004859669599682093</td><td>False</td><td>26.69445037841797</td><td>0.08929771184921265</td><td>0.07096990197896957</td><td>0.005027500446885824</td><td>False</td><td>26.8004150390625</td><td>0.109190434217453</td><td>0.06959864497184753</td><td>0.008449273183941841</td><td>False</td><td>26.79100799560547</td><td>0.17001894116401672</td><td>0.0802999958395958</td><td>0.0165642648935318</td><td>False</td><td>26.66558837890625</td><td>0.3092065155506134</td><td>False</td><td>False</td><td>False</td><td>False</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>27.140758514404297</td><td>0.1280243992805481</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>27.16564178466797</td><td>0.20550155639648438</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.050547100603580475</td><td>0.005960253067314625</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>0.04940184950828552</td><td>0.009350482374429703</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>False</td><td>0</td><td>nan</td><td>NO_INFORMATION</td><td>0.016574807920398938</td><td>HELP_J095935.149+015850.624</td><td>COSMOS</td><td>nan</td><td>-99</td><td>False</td><td>3</td><td>1</td><td>446596224</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Table length=5>\n",
       "        ra                dec         ... flag_optnir_det   hp_idx \n",
       "       deg                deg         ...                          \n",
       "     float64            float64       ...      int64        int64  \n",
       "------------------ ------------------ ... --------------- ---------\n",
       "150.01111381735552  2.192442575241505 ...               1 446599713\n",
       "149.89527000388884  2.032169659077728 ...               1 446596281\n",
       "149.94639760786296 2.0850229664134954 ...               1 446596351\n",
       "150.16308167070508   2.12045061974924 ...               3 446577343\n",
       "149.89645559700196 1.9807287648173821 ...               1 446596224"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master_catalogue[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-51-f5352cf9f8a0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmaster_catalogue\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"{}/dr2_master_catalogue_cosmos{}.fits\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mOUT_DIR\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mSUFFIX\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moverwrite\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/miniconda3/envs/herschelhelp_internal/lib/python3.6/site-packages/astropy/table/table.py\u001b[0m in \u001b[0;36mwrite\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   2561\u001b[0m         \u001b[0mpassed\u001b[0m \u001b[0mthrough\u001b[0m \u001b[0mto\u001b[0m \u001b[0mthe\u001b[0m \u001b[0munderlying\u001b[0m \u001b[0mdata\u001b[0m \u001b[0mreader\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m`\u001b[0m\u001b[0;34m~\u001b[0m\u001b[0mastropy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mio\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mascii\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[0;31m`\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2562\u001b[0m         \"\"\"\n\u001b[0;32m-> 2563\u001b[0;31m         \u001b[0mio_registry\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2564\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2565\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy_data\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/envs/herschelhelp_internal/lib/python3.6/site-packages/astropy/io/registry.py\u001b[0m in \u001b[0;36mwrite\u001b[0;34m(data, format, *args, **kwargs)\u001b[0m\n\u001b[1;32m    558\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    559\u001b[0m     \u001b[0mwriter\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_writer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__class__\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 560\u001b[0;31m     \u001b[0mwriter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    561\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    562\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/envs/herschelhelp_internal/lib/python3.6/site-packages/astropy/io/fits/connect.py\u001b[0m in \u001b[0;36mwrite_table_fits\u001b[0;34m(input, output, overwrite)\u001b[0m\n\u001b[1;32m    381\u001b[0m     \u001b[0minput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_encode_mixins\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    382\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 383\u001b[0;31m     \u001b[0mtable_hdu\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtable_to_hdu\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcharacter_as_bytes\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    384\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    385\u001b[0m     \u001b[0;31m# Check if output file already exists\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/envs/herschelhelp_internal/lib/python3.6/site-packages/astropy/io/fits/convenience.py\u001b[0m in \u001b[0;36mtable_to_hdu\u001b[0;34m(table, character_as_bytes)\u001b[0m\n\u001b[1;32m    496\u001b[0m             \u001b[0mcol\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnull\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfill_value\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtable\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcol\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    497\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 498\u001b[0;31m         \u001b[0mtable_hdu\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mBinTableHDU\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_columns\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtable\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfilled\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheader\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mhdr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcharacter_as_bytes\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcharacter_as_bytes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    499\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    500\u001b[0m     \u001b[0;31m# Set units for output HDU\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/envs/herschelhelp_internal/lib/python3.6/site-packages/astropy/io/fits/hdu/table.py\u001b[0m in \u001b[0;36mfrom_columns\u001b[0;34m(cls, columns, header, nrows, fill, character_as_bytes, **kwargs)\u001b[0m\n\u001b[1;32m    126\u001b[0m         \u001b[0mcoldefs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_columns_type\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    127\u001b[0m         data = FITS_rec.from_columns(coldefs, nrows=nrows, fill=fill,\n\u001b[0;32m--> 128\u001b[0;31m                                      character_as_bytes=character_as_bytes)\n\u001b[0m\u001b[1;32m    129\u001b[0m         \u001b[0mhdu\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheader\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mheader\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcharacter_as_bytes\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcharacter_as_bytes\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    130\u001b[0m         \u001b[0mcoldefs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_add_listener\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhdu\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/envs/herschelhelp_internal/lib/python3.6/site-packages/astropy/io/fits/fitsrec.py\u001b[0m in \u001b[0;36mfrom_columns\u001b[0;34m(cls, columns, nrows, fill, character_as_bytes)\u001b[0m\n\u001b[1;32m    464\u001b[0m                     \u001b[0moutarr\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minarr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    465\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 466\u001b[0;31m                 \u001b[0moutarr\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minarr\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    467\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    468\u001b[0m         \u001b[0;31m# Now replace the original column array references with the new\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "master_catalogue[columns].write(\"{}/dr2_master_catalogue_cosmos{}.fits\".format(OUT_DIR, SUFFIX), overwrite = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (herschelhelp_internal)",
   "language": "python",
   "name": "helpint"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}