{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# EGS Selection Functions\n",
    "## Depth maps and selection functions\n",
    "\n",
    "The simplest selection function available is the field MOC which specifies the area for which there is Herschel data. Each pristine catalogue also has a MOC defining the area for which that data is available.\n",
    "\n",
    "The next stage is to provide mean flux standard deviations which act as a proxy for the catalogue's 5$\\sigma$ depth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This notebook was run with herschelhelp_internal version: \n",
      "708e28f (Tue May 8 18:05:21 2018 +0100)\n",
      "This notebook was executed on: \n",
      "2018-06-06 14:49:49.804019\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": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "#%config InlineBackend.figure_format = 'svg'\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rc('figure', figsize=(10, 6))\n",
    "\n",
    "import os\n",
    "import time\n",
    "\n",
    "from astropy import units as u\n",
    "from astropy.coordinates import SkyCoord\n",
    "from astropy.table import Column, Table, join\n",
    "import numpy as np\n",
    "from pymoc import MOC\n",
    "import healpy as hp\n",
    "#import pandas as pd #Astropy has group_by function so apandas isn't required.\n",
    "import seaborn as sns\n",
    "\n",
    "import warnings\n",
    "#We ignore warnings - this is a little dangerous but a huge number of warnings are generated by empty cells later\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "from herschelhelp_internal.utils import inMoc, coords_to_hpidx, flux_to_mag\n",
    "from herschelhelp_internal.masterlist import find_last_ml_suffix, nb_ccplots\n",
    "\n",
    "from astropy.io.votable import parse_single_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "FIELD = 'EGS'\n",
    "#FILTERS_DIR = \"/Users/rs548/GitHub/herschelhelp_python/database_builder/filters/\"\n",
    "FILTERS_DIR = \"/opt/herschelhelp_python/database_builder/filters/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Depth maps produced using: master_catalogue_egs_20180501.fits\n"
     ]
    }
   ],
   "source": [
    "TMP_DIR = os.environ.get('TMP_DIR', \"./data_tmp\")\n",
    "OUT_DIR = os.environ.get('OUT_DIR', \"./data\")\n",
    "SUFFIX = find_last_ml_suffix()\n",
    "#SUFFIX = \"20171016\"\n",
    "\n",
    "master_catalogue_filename = \"master_catalogue_{}_{}.fits\".format(FIELD.lower(), SUFFIX)\n",
    "master_catalogue = Table.read(\"{}/{}\".format(OUT_DIR, master_catalogue_filename))\n",
    "\n",
    "print(\"Depth maps produced using: {}\".format(master_catalogue_filename))\n",
    "\n",
    "ORDER = 10\n",
    "#TODO write code to decide on appropriate order\n",
    "\n",
    "field_moc = MOC(filename=\"../../dmu2/dmu2_field_coverages/{}_MOC.fits\".format(FIELD))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## I - Group masterlist objects by healpix cell and calculate depths\n",
    "We add a column to the masterlist catalogue for the target order healpix cell <i>per object</i>."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Add a column to the catalogue with the order=ORDER hp_idx\n",
    "master_catalogue.add_column(Column(data=coords_to_hpidx(master_catalogue['ra'],\n",
    "                                                       master_catalogue['dec'],\n",
    "                                                       ORDER), \n",
    "                                   name=\"hp_idx_O_{}\".format(str(ORDER))\n",
    "                                  )\n",
    "                           )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Convert catalogue to pandas and group by the order=ORDER pixel\n",
    "\n",
    "group = master_catalogue.group_by([\"hp_idx_O_{}\".format(str(ORDER))])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Downgrade the groups from order=ORDER to order=13 and then fill out the appropriate cells\n",
    "#hp.pixelfunc.ud_grade([2599293, 2599294], nside_out=hp.order2nside(13))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## II Create a table of all Order=13 healpix cells in the field and populate it\n",
    "We create a table with every order=13 healpix cell in the field MOC. We then calculate the healpix cell at lower order that the order=13 cell is in. We then fill in the depth at every order=13 cell as calculated for the lower order cell that that the order=13 cell is inside."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "depths = Table()\n",
    "depths['hp_idx_O_13'] = list(field_moc.flattened(13))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
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       ".paginate_button { margin-right: 5px; }\n",
       "</style>\n",
       "<script>\n",
       "\n",
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       "    var b_num = parseFloat(b);\n",
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       "        return isNaN(a_num) ? -1 : 1;\n",
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       "\n",
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       "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
       "}});\n",
       "require([\"datatables\"], function(){\n",
       "    console.log(\"$('#table140577630121320-317918').dataTable()\");\n",
       "    \n",
       "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
       "    \"optionalnum-asc\": astropy_sort_num,\n",
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     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "depths[:10].show_in_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "depths.add_column(Column(data=hp.pixelfunc.ang2pix(2**ORDER,\n",
    "                     hp.pixelfunc.pix2ang(2**13, depths['hp_idx_O_13'], nest=True)[0],\n",
    "                     hp.pixelfunc.pix2ang(2**13, depths['hp_idx_O_13'], nest=True)[1],\n",
    "                     nest = True),\n",
    "                     name=\"hp_idx_O_{}\".format(str(ORDER))\n",
    "                        )\n",
    "                 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "<tr><td>0</td><td>187171466</td><td>2924554</td></tr>\n",
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       "<script>\n",
       "\n",
       "var astropy_sort_num = function(a, b) {\n",
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       "    var b_num = parseFloat(b);\n",
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   "source": [
    "depths[:10].show_in_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "<table id=\"table140577626214296-967629\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>idx</th><th>hp_idx_O_13</th><th>hp_idx_O_10</th><th>ferr_ap_suprime_g_mean</th><th>f_ap_suprime_g_p90</th><th>ferr_suprime_g_mean</th><th>f_suprime_g_p90</th><th>ferr_ap_suprime_r_mean</th><th>f_ap_suprime_r_p90</th><th>ferr_suprime_r_mean</th><th>f_suprime_r_p90</th><th>ferr_ap_suprime_i_mean</th><th>f_ap_suprime_i_p90</th><th>ferr_suprime_i_mean</th><th>f_suprime_i_p90</th><th>ferr_ap_suprime_z_mean</th><th>f_ap_suprime_z_p90</th><th>ferr_suprime_z_mean</th><th>f_suprime_z_p90</th><th>ferr_ap_suprime_y_mean</th><th>f_ap_suprime_y_p90</th><th>ferr_suprime_y_mean</th><th>f_suprime_y_p90</th><th>ferr_ap_gpc1_g_mean</th><th>f_ap_gpc1_g_p90</th><th>ferr_gpc1_g_mean</th><th>f_gpc1_g_p90</th><th>ferr_ap_gpc1_r_mean</th><th>f_ap_gpc1_r_p90</th><th>ferr_gpc1_r_mean</th><th>f_gpc1_r_p90</th><th>ferr_ap_gpc1_i_mean</th><th>f_ap_gpc1_i_p90</th><th>ferr_gpc1_i_mean</th><th>f_gpc1_i_p90</th><th>ferr_ap_gpc1_z_mean</th><th>f_ap_gpc1_z_p90</th><th>ferr_gpc1_z_mean</th><th>f_gpc1_z_p90</th><th>ferr_ap_gpc1_y_mean</th><th>f_ap_gpc1_y_p90</th><th>ferr_gpc1_y_mean</th><th>f_gpc1_y_p90</th><th>ferr_ap_acs_f606w_mean</th><th>f_ap_acs_f606w_p90</th><th>ferr_acs_f606w_mean</th><th>f_acs_f606w_p90</th><th>ferr_ap_acs_f814w_mean</th><th>f_ap_acs_f814w_p90</th><th>ferr_acs_f814w_mean</th><th>f_acs_f814w_p90</th><th>ferr_ap_wfc3_f125w_mean</th><th>f_ap_wfc3_f125w_p90</th><th>ferr_wfc3_f125w_mean</th><th>f_wfc3_f125w_p90</th><th>ferr_ap_wfc3_f140w_mean</th><th>f_ap_wfc3_f140w_p90</th><th>ferr_wfc3_f140w_mean</th><th>f_wfc3_f140w_p90</th><th>ferr_ap_wfc3_f160w_mean</th><th>f_ap_wfc3_f160w_p90</th><th>ferr_wfc3_f160w_mean</th><th>f_wfc3_f160w_p90</th><th>ferr_ap_newfirm_j1_mean</th><th>f_ap_newfirm_j1_p90</th><th>ferr_newfirm_j1_mean</th><th>f_newfirm_j1_p90</th><th>ferr_ap_newfirm_j2_mean</th><th>f_ap_newfirm_j2_p90</th><th>ferr_newfirm_j2_mean</th><th>f_newfirm_j2_p90</th><th>ferr_ap_newfirm_j3_mean</th><th>f_ap_newfirm_j3_p90</th><th>ferr_newfirm_j3_mean</th><th>f_newfirm_j3_p90</th><th>ferr_ap_newfirm_h1_mean</th><th>f_ap_newfirm_h1_p90</th><th>ferr_newfirm_h1_mean</th><th>f_newfirm_h1_p90</th><th>ferr_ap_newfirm_h2_mean</th><th>f_ap_newfirm_h2_p90</th><th>ferr_newfirm_h2_mean</th><th>f_newfirm_h2_p90</th><th>ferr_ap_newfirm_k_mean</th><th>f_ap_newfirm_k_p90</th><th>ferr_newfirm_k_mean</th><th>f_newfirm_k_p90</th><th>ferr_ap_90prime_g_mean</th><th>f_ap_90prime_g_p90</th><th>ferr_90prime_g_mean</th><th>f_90prime_g_p90</th><th>ferr_ap_90prime_r_mean</th><th>f_ap_90prime_r_p90</th><th>ferr_90prime_r_mean</th><th>f_90prime_r_p90</th><th>ferr_ap_mosaic_z_mean</th><th>f_ap_mosaic_z_p90</th><th>ferr_mosaic_z_mean</th><th>f_mosaic_z_p90</th><th>ferr_ap_ukidss_j_mean</th><th>f_ap_ukidss_j_p90</th><th>ferr_ukidss_j_mean</th><th>f_ukidss_j_p90</th><th>ferr_ap_megacam_u_mean</th><th>f_ap_megacam_u_p90</th><th>ferr_megacam_u_mean</th><th>f_megacam_u_p90</th><th>ferr_ap_megacam_g_mean</th><th>f_ap_megacam_g_p90</th><th>ferr_megacam_g_mean</th><th>f_megacam_g_p90</th><th>ferr_ap_megacam_r_mean</th><th>f_ap_megacam_r_p90</th><th>ferr_megacam_r_mean</th><th>f_megacam_r_p90</th><th>ferr_ap_megacam_i_mean</th><th>f_ap_megacam_i_p90</th><th>ferr_megacam_i_mean</th><th>f_megacam_i_p90</th><th>ferr_ap_megacam_z_mean</th><th>f_ap_megacam_z_p90</th><th>ferr_megacam_z_mean</th><th>f_megacam_z_p90</th><th>ferr_ap_wircam_j_mean</th><th>f_ap_wircam_j_p90</th><th>ferr_wircam_j_mean</th><th>f_wircam_j_p90</th><th>ferr_ap_wircam_h_mean</th><th>f_ap_wircam_h_p90</th><th>ferr_wircam_h_mean</th><th>f_wircam_h_p90</th><th>ferr_ap_wircam_ks_mean</th><th>f_ap_wircam_ks_p90</th><th>ferr_wircam_ks_mean</th><th>f_wircam_ks_p90</th><th>ferr_ap_wircs_j_mean</th><th>f_ap_wircs_j_p90</th><th>ferr_wircs_j_mean</th><th>f_wircs_j_p90</th><th>ferr_ap_wircs_k_mean</th><th>f_ap_wircs_k_p90</th><th>ferr_wircs_k_mean</th><th>f_wircs_k_p90</th><th>ferr_nicmos_f160w_mean</th><th>f_nicmos_f160w_p90</th><th>ferr_omega2000_j_mean</th><th>f_omega2000_j_p90</th><th>ferr_mmt_u_mean</th><th>f_mmt_u_p90</th><th>ferr_irac_i4_mean</th><th>f_irac_i4_p90</th><th>ferr_mmt_z_mean</th><th>f_mmt_z_p90</th><th>ferr_suprime_rc_mean</th><th>f_suprime_rc_p90</th><th>ferr_irac_i3_mean</th><th>f_irac_i3_p90</th><th>ferr_omega2000_ks_mean</th><th>f_omega2000_ks_p90</th><th>ferr_nicmos_f110w_mean</th><th>f_nicmos_f110w_p90</th><th>ferr_cfht12k_r_mean</th><th>f_cfht12k_r_p90</th><th>ferr_cfht12k_b_mean</th><th>f_cfht12k_b_p90</th><th>ferr_mmt_g_mean</th><th>f_mmt_g_p90</th><th>ferr_irac_i1_mean</th><th>f_irac_i1_p90</th><th>ferr_cfht12k_i_mean</th><th>f_cfht12k_i_p90</th><th>ferr_moircs_ks_mean</th><th>f_moircs_ks_p90</th><th>ferr_irac_i2_mean</th><th>f_irac_i2_p90</th><th>ferr_mmt_i_mean</th><th>f_mmt_i_p90</th></tr></thead>\n",
       "<thead><tr><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></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>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th></th><th></th><th>uJy</th><th>uJy</th><th></th><th></th><th>uJy</th><th>uJy</th><th></th><th></th><th>uJy</th><th>uJy</th><th></th><th></th><th>uJy</th><th>uJy</th><th></th><th></th><th>uJy</th><th>uJy</th><th></th><th></th><th>uJy</th><th>uJy</th><th></th><th></th><th>uJy</th><th>uJy</th><th></th><th></th><th>uJy</th><th>uJy</th><th></th><th></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></tr></thead>\n",
       "<tr><td>0</td><td>175984511</td><td>2749757</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.9647431359633882</td><td>36.605659371473365</td><td>1.4738199507406224</td><td>40.77699996552558</td><td>1.338154204747396</td><td>52.06349551992441</td><td>1.3739907507607614</td><td>35.102845472830374</td><td>1.82826879865746</td><td>29.117352780853164</td><td>2.0070707440826885</td><td>28.5559491528809</td><td>2.624638103615918</td><td>38.41650735837228</td><td>3.312699473967038</td><td>38.28468185688956</td><td>5.945160919335756</td><td>58.281002871315465</td><td>9.590373447600097</td><td>58.1955903792363</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.21994181</td><td>10.485204648971555</td><td>0.37797666</td><td>10.33752803802491</td><td>0.42138323</td><td>19.090269851684567</td><td>2.035314</td><td>20.962038040161143</td><td>1.3774742</td><td>33.9314682006836</td><td>2.4885044</td><td>47.350815582275416</td><td>7.398659</td><td>2306.1923736572285</td><td>12.484736</td><td>2241.8608444213887</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td></tr>\n",
       "<tr><td>1</td><td>175984506</td><td>2749757</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.9647431359633882</td><td>36.605659371473365</td><td>1.4738199507406224</td><td>40.77699996552558</td><td>1.338154204747396</td><td>52.06349551992441</td><td>1.3739907507607614</td><td>35.102845472830374</td><td>1.82826879865746</td><td>29.117352780853164</td><td>2.0070707440826885</td><td>28.5559491528809</td><td>2.624638103615918</td><td>38.41650735837228</td><td>3.312699473967038</td><td>38.28468185688956</td><td>5.945160919335756</td><td>58.281002871315465</td><td>9.590373447600097</td><td>58.1955903792363</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.21994181</td><td>10.485204648971555</td><td>0.37797666</td><td>10.33752803802491</td><td>0.42138323</td><td>19.090269851684567</td><td>2.035314</td><td>20.962038040161143</td><td>1.3774742</td><td>33.9314682006836</td><td>2.4885044</td><td>47.350815582275416</td><td>7.398659</td><td>2306.1923736572285</td><td>12.484736</td><td>2241.8608444213887</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td></tr>\n",
       "<tr><td>2</td><td>175984510</td><td>2749757</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.9647431359633882</td><td>36.605659371473365</td><td>1.4738199507406224</td><td>40.77699996552558</td><td>1.338154204747396</td><td>52.06349551992441</td><td>1.3739907507607614</td><td>35.102845472830374</td><td>1.82826879865746</td><td>29.117352780853164</td><td>2.0070707440826885</td><td>28.5559491528809</td><td>2.624638103615918</td><td>38.41650735837228</td><td>3.312699473967038</td><td>38.28468185688956</td><td>5.945160919335756</td><td>58.281002871315465</td><td>9.590373447600097</td><td>58.1955903792363</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.21994181</td><td>10.485204648971555</td><td>0.37797666</td><td>10.33752803802491</td><td>0.42138323</td><td>19.090269851684567</td><td>2.035314</td><td>20.962038040161143</td><td>1.3774742</td><td>33.9314682006836</td><td>2.4885044</td><td>47.350815582275416</td><td>7.398659</td><td>2306.1923736572285</td><td>12.484736</td><td>2241.8608444213887</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td></tr>\n",
       "<tr><td>3</td><td>175984509</td><td>2749757</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.9647431359633882</td><td>36.605659371473365</td><td>1.4738199507406224</td><td>40.77699996552558</td><td>1.338154204747396</td><td>52.06349551992441</td><td>1.3739907507607614</td><td>35.102845472830374</td><td>1.82826879865746</td><td>29.117352780853164</td><td>2.0070707440826885</td><td>28.5559491528809</td><td>2.624638103615918</td><td>38.41650735837228</td><td>3.312699473967038</td><td>38.28468185688956</td><td>5.945160919335756</td><td>58.281002871315465</td><td>9.590373447600097</td><td>58.1955903792363</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.21994181</td><td>10.485204648971555</td><td>0.37797666</td><td>10.33752803802491</td><td>0.42138323</td><td>19.090269851684567</td><td>2.035314</td><td>20.962038040161143</td><td>1.3774742</td><td>33.9314682006836</td><td>2.4885044</td><td>47.350815582275416</td><td>7.398659</td><td>2306.1923736572285</td><td>12.484736</td><td>2241.8608444213887</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td></tr>\n",
       "<tr><td>4</td><td>175984508</td><td>2749757</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.9647431359633882</td><td>36.605659371473365</td><td>1.4738199507406224</td><td>40.77699996552558</td><td>1.338154204747396</td><td>52.06349551992441</td><td>1.3739907507607614</td><td>35.102845472830374</td><td>1.82826879865746</td><td>29.117352780853164</td><td>2.0070707440826885</td><td>28.5559491528809</td><td>2.624638103615918</td><td>38.41650735837228</td><td>3.312699473967038</td><td>38.28468185688956</td><td>5.945160919335756</td><td>58.281002871315465</td><td>9.590373447600097</td><td>58.1955903792363</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.21994181</td><td>10.485204648971555</td><td>0.37797666</td><td>10.33752803802491</td><td>0.42138323</td><td>19.090269851684567</td><td>2.035314</td><td>20.962038040161143</td><td>1.3774742</td><td>33.9314682006836</td><td>2.4885044</td><td>47.350815582275416</td><td>7.398659</td><td>2306.1923736572285</td><td>12.484736</td><td>2241.8608444213887</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td></tr>\n",
       "<tr><td>5</td><td>175984507</td><td>2749757</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.9647431359633882</td><td>36.605659371473365</td><td>1.4738199507406224</td><td>40.77699996552558</td><td>1.338154204747396</td><td>52.06349551992441</td><td>1.3739907507607614</td><td>35.102845472830374</td><td>1.82826879865746</td><td>29.117352780853164</td><td>2.0070707440826885</td><td>28.5559491528809</td><td>2.624638103615918</td><td>38.41650735837228</td><td>3.312699473967038</td><td>38.28468185688956</td><td>5.945160919335756</td><td>58.281002871315465</td><td>9.590373447600097</td><td>58.1955903792363</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.21994181</td><td>10.485204648971555</td><td>0.37797666</td><td>10.33752803802491</td><td>0.42138323</td><td>19.090269851684567</td><td>2.035314</td><td>20.962038040161143</td><td>1.3774742</td><td>33.9314682006836</td><td>2.4885044</td><td>47.350815582275416</td><td>7.398659</td><td>2306.1923736572285</td><td>12.484736</td><td>2241.8608444213887</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td></tr>\n",
       "<tr><td>6</td><td>175984502</td><td>2749757</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.9647431359633882</td><td>36.605659371473365</td><td>1.4738199507406224</td><td>40.77699996552558</td><td>1.338154204747396</td><td>52.06349551992441</td><td>1.3739907507607614</td><td>35.102845472830374</td><td>1.82826879865746</td><td>29.117352780853164</td><td>2.0070707440826885</td><td>28.5559491528809</td><td>2.624638103615918</td><td>38.41650735837228</td><td>3.312699473967038</td><td>38.28468185688956</td><td>5.945160919335756</td><td>58.281002871315465</td><td>9.590373447600097</td><td>58.1955903792363</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.21994181</td><td>10.485204648971555</td><td>0.37797666</td><td>10.33752803802491</td><td>0.42138323</td><td>19.090269851684567</td><td>2.035314</td><td>20.962038040161143</td><td>1.3774742</td><td>33.9314682006836</td><td>2.4885044</td><td>47.350815582275416</td><td>7.398659</td><td>2306.1923736572285</td><td>12.484736</td><td>2241.8608444213887</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td></tr>\n",
       "<tr><td>7</td><td>175984501</td><td>2749757</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.9647431359633882</td><td>36.605659371473365</td><td>1.4738199507406224</td><td>40.77699996552558</td><td>1.338154204747396</td><td>52.06349551992441</td><td>1.3739907507607614</td><td>35.102845472830374</td><td>1.82826879865746</td><td>29.117352780853164</td><td>2.0070707440826885</td><td>28.5559491528809</td><td>2.624638103615918</td><td>38.41650735837228</td><td>3.312699473967038</td><td>38.28468185688956</td><td>5.945160919335756</td><td>58.281002871315465</td><td>9.590373447600097</td><td>58.1955903792363</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.21994181</td><td>10.485204648971555</td><td>0.37797666</td><td>10.33752803802491</td><td>0.42138323</td><td>19.090269851684567</td><td>2.035314</td><td>20.962038040161143</td><td>1.3774742</td><td>33.9314682006836</td><td>2.4885044</td><td>47.350815582275416</td><td>7.398659</td><td>2306.1923736572285</td><td>12.484736</td><td>2241.8608444213887</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td></tr>\n",
       "<tr><td>8</td><td>175984499</td><td>2749757</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.9647431359633882</td><td>36.605659371473365</td><td>1.4738199507406224</td><td>40.77699996552558</td><td>1.338154204747396</td><td>52.06349551992441</td><td>1.3739907507607614</td><td>35.102845472830374</td><td>1.82826879865746</td><td>29.117352780853164</td><td>2.0070707440826885</td><td>28.5559491528809</td><td>2.624638103615918</td><td>38.41650735837228</td><td>3.312699473967038</td><td>38.28468185688956</td><td>5.945160919335756</td><td>58.281002871315465</td><td>9.590373447600097</td><td>58.1955903792363</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.21994181</td><td>10.485204648971555</td><td>0.37797666</td><td>10.33752803802491</td><td>0.42138323</td><td>19.090269851684567</td><td>2.035314</td><td>20.962038040161143</td><td>1.3774742</td><td>33.9314682006836</td><td>2.4885044</td><td>47.350815582275416</td><td>7.398659</td><td>2306.1923736572285</td><td>12.484736</td><td>2241.8608444213887</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td></tr>\n",
       "<tr><td>9</td><td>175984505</td><td>2749757</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.9647431359633882</td><td>36.605659371473365</td><td>1.4738199507406224</td><td>40.77699996552558</td><td>1.338154204747396</td><td>52.06349551992441</td><td>1.3739907507607614</td><td>35.102845472830374</td><td>1.82826879865746</td><td>29.117352780853164</td><td>2.0070707440826885</td><td>28.5559491528809</td><td>2.624638103615918</td><td>38.41650735837228</td><td>3.312699473967038</td><td>38.28468185688956</td><td>5.945160919335756</td><td>58.281002871315465</td><td>9.590373447600097</td><td>58.1955903792363</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.21994181</td><td>10.485204648971555</td><td>0.37797666</td><td>10.33752803802491</td><td>0.42138323</td><td>19.090269851684567</td><td>2.035314</td><td>20.962038040161143</td><td>1.3774742</td><td>33.9314682006836</td><td>2.4885044</td><td>47.350815582275416</td><td>7.398659</td><td>2306.1923736572285</td><td>12.484736</td><td>2241.8608444213887</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</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(\"$('#table140577626214296-967629').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",
       "    $('#table140577626214296-967629').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, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for col in master_catalogue.colnames:\n",
    "    if col.startswith(\"f_\"):\n",
    "        errcol = \"ferr{}\".format(col[1:])\n",
    "        depths = join(depths, \n",
    "                      group[\"hp_idx_O_{}\".format(str(ORDER)), errcol].groups.aggregate(np.nanmean),\n",
    "                     join_type='left')\n",
    "        depths[errcol].name = errcol + \"_mean\"\n",
    "        depths = join(depths, \n",
    "                      group[\"hp_idx_O_{}\".format(str(ORDER)), col].groups.aggregate(lambda x: np.nanpercentile(x, 90.)),\n",
    "                     join_type='left')\n",
    "        depths[col].name = col + \"_p90\"\n",
    "\n",
    "depths[:10].show_in_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## III - Save the depth map table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "depths.write(\"{}/depths_{}_{}.fits\".format(OUT_DIR, FIELD.lower(), SUFFIX))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## IV - Overview plots\n",
    "\n",
    "### IV.a - Filters\n",
    "First we simply plot all the filters available on this field to give an overview of coverage."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'90prime_g',\n",
       " '90prime_r',\n",
       " 'acs_f606w',\n",
       " 'acs_f814w',\n",
       " 'cfht12k_b',\n",
       " 'cfht12k_i',\n",
       " 'cfht12k_r',\n",
       " 'gpc1_g',\n",
       " 'gpc1_i',\n",
       " 'gpc1_r',\n",
       " 'gpc1_y',\n",
       " 'gpc1_z',\n",
       " 'irac_i1',\n",
       " 'irac_i2',\n",
       " 'irac_i3',\n",
       " 'irac_i4',\n",
       " 'megacam_g',\n",
       " 'megacam_i',\n",
       " 'megacam_r',\n",
       " 'megacam_u',\n",
       " 'megacam_z',\n",
       " 'mmt_g',\n",
       " 'mmt_i',\n",
       " 'mmt_u',\n",
       " 'mmt_z',\n",
       " 'moircs_ks',\n",
       " 'mosaic_z',\n",
       " 'newfirm_h1',\n",
       " 'newfirm_h2',\n",
       " 'newfirm_j1',\n",
       " 'newfirm_j2',\n",
       " 'newfirm_j3',\n",
       " 'newfirm_k',\n",
       " 'nicmos_f110w',\n",
       " 'nicmos_f160w',\n",
       " 'omega2000_j',\n",
       " 'omega2000_ks',\n",
       " 'suprime_g',\n",
       " 'suprime_i',\n",
       " 'suprime_r',\n",
       " 'suprime_rc',\n",
       " 'suprime_y',\n",
       " 'suprime_z',\n",
       " 'ukidss_j',\n",
       " 'wfc3_f125w',\n",
       " 'wfc3_f140w',\n",
       " 'wfc3_f160w',\n",
       " 'wircam_h',\n",
       " 'wircam_j',\n",
       " 'wircam_ks',\n",
       " 'wircs_j',\n",
       " 'wircs_k'}"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tot_bands = [column[2:] for column in master_catalogue.colnames \n",
    "             if (column.startswith('f_') & ~column.startswith('f_ap_'))]\n",
    "ap_bands = [column[5:] for column in master_catalogue.colnames \n",
    "            if column.startswith('f_ap_') ]\n",
    "bands = set(tot_bands) | set(ap_bands)\n",
    "bands"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Passbands on EGS')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for b in bands:\n",
    "    plt.plot(Table(data = parse_single_table(FILTERS_DIR + b + '.xml').array.data)['Wavelength']\n",
    "            ,Table(data = parse_single_table(FILTERS_DIR + b + '.xml').array.data)['Transmission']\n",
    "            , label=b)\n",
    "plt.xlabel('Wavelength ($\\AA$)')\n",
    "plt.ylabel('Transmission')\n",
    "plt.xscale('log')\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
    "plt.title('Passbands on {}'.format(FIELD))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### IV.a - Depth overview\n",
    "Then we plot the mean depths available across the area a given band is available"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "suprime_g: mean flux error: 0.019375529140233994, 3sigma in AB mag (Aperture): 26.989062933700673\n",
      "suprime_r: mean flux error: inf, 3sigma in AB mag (Aperture): -inf\n",
      "suprime_i: mean flux error: 0.03772468492388725, 3sigma in AB mag (Aperture): 26.265632810099568\n",
      "suprime_z: mean flux error: 0.09303078055381775, 3sigma in AB mag (Aperture): 25.28563020114499\n",
      "suprime_y: mean flux error: 0.2268095463514328, 3sigma in AB mag (Aperture): 24.318043538348654\n",
      "gpc1_g: mean flux error: 385.0546080277341, 3sigma in AB mag (Aperture): 16.243391050576697\n",
      "gpc1_r: mean flux error: 70.26057445642947, 3sigma in AB mag (Aperture): 18.090417622453025\n",
      "gpc1_i: mean flux error: 8.255579140436186, 3sigma in AB mag (Aperture): 20.4153280006171\n",
      "gpc1_z: mean flux error: 18.50239630361413, 3sigma in AB mag (Aperture): 19.5391269159715\n",
      "gpc1_y: mean flux error: 45.967758277785876, 3sigma in AB mag (Aperture): 18.55106355092787\n",
      "acs_f606w: mean flux error: 0.04573498269163535, 3sigma in AB mag (Aperture): 26.05657556554403\n",
      "acs_f814w: mean flux error: 0.08567304007494089, 3sigma in AB mag (Aperture): 25.375086418332693\n",
      "wfc3_f125w: mean flux error: 0.11511747838942188, 3sigma in AB mag (Aperture): 25.054343693314188\n",
      "wfc3_f140w: mean flux error: 0.056422697138618326, 3sigma in AB mag (Aperture): 25.828562256648674\n",
      "wfc3_f160w: mean flux error: 0.07076677996853135, 3sigma in AB mag (Aperture): 25.58262327625473\n",
      "newfirm_j1: mean flux error: nan, 3sigma in AB mag (Aperture): nan\n",
      "newfirm_j2: mean flux error: nan, 3sigma in AB mag (Aperture): nan\n",
      "newfirm_j3: mean flux error: nan, 3sigma in AB mag (Aperture): nan\n",
      "newfirm_h1: mean flux error: nan, 3sigma in AB mag (Aperture): nan\n",
      "newfirm_h2: mean flux error: nan, 3sigma in AB mag (Aperture): nan\n",
      "newfirm_k: mean flux error: nan, 3sigma in AB mag (Aperture): nan\n",
      "90prime_g: mean flux error: 0.10886576026678085, 3sigma in AB mag (Aperture): 25.11496858863648\n",
      "90prime_r: mean flux error: 0.29261514544487, 3sigma in AB mag (Aperture): 24.041454860736273\n",
      "mosaic_z: mean flux error: 1.4083763360977173, 3sigma in AB mag (Aperture): 22.335400064871827\n",
      "ukidss_j: mean flux error: 6.556758880615234, 3sigma in AB mag (Aperture): 20.665473830351353\n",
      "megacam_u: mean flux error: 0.05411689921944996, 3sigma in AB mag (Aperture): 25.87386460192632\n",
      "megacam_g: mean flux error: 0.030917038441619915, 3sigma in AB mag (Aperture): 26.481702148311406\n",
      "megacam_r: mean flux error: 0.05508580863947114, 3sigma in AB mag (Aperture): 25.854597540454073\n",
      "megacam_i: mean flux error: 0.08481895398709512, 3sigma in AB mag (Aperture): 25.38596458243517\n",
      "megacam_z: mean flux error: 0.1700147393669768, 3sigma in AB mag (Aperture): 24.63098042816309\n",
      "wircam_j: mean flux error: 0.14134602284648362, 3sigma in AB mag (Aperture): 24.831487880838544\n",
      "wircam_h: mean flux error: 0.15621462427260513, 3sigma in AB mag (Aperture): 24.722892641722886\n",
      "wircam_ks: mean flux error: 0.18613083094640154, 3sigma in AB mag (Aperture): 24.532651072758547\n",
      "wircs_j: mean flux error: 0.8129140441304107, 3sigma in AB mag (Aperture): 22.93208529667381\n",
      "wircs_k: mean flux error: 1.616166722943082, 3sigma in AB mag (Aperture): 22.185981462328222\n",
      "suprime_g: mean flux error: 0.0305919349193573, 3sigma in AB mag (Total): 26.49317949648087\n",
      "suprime_r: mean flux error: inf, 3sigma in AB mag (Total): -inf\n",
      "suprime_i: mean flux error: inf, 3sigma in AB mag (Total): -inf\n",
      "suprime_z: mean flux error: inf, 3sigma in AB mag (Total): -inf\n",
      "suprime_y: mean flux error: 0.34690940380096436, 3sigma in AB mag (Total): 23.85665668174564\n",
      "gpc1_g: mean flux error: 163.68540026551338, 3sigma in AB mag (Total): 17.172172001367493\n",
      "gpc1_r: mean flux error: 71.42557464309743, 3sigma in AB mag (Total): 18.07256250541085\n",
      "gpc1_i: mean flux error: 5.302472784678861, 3sigma in AB mag (Total): 20.896000742833827\n",
      "gpc1_z: mean flux error: 17.074567605487328, 3sigma in AB mag (Total): 19.6263225770356\n",
      "gpc1_y: mean flux error: 44.44112435141717, 3sigma in AB mag (Total): 18.587734268275888\n",
      "acs_f606w: mean flux error: -0.003801187491360624, 3sigma in AB mag (Total): nan\n",
      "acs_f814w: mean flux error: -0.0032003030302804594, 3sigma in AB mag (Total): nan\n",
      "wfc3_f125w: mean flux error: 0.08452447744871103, 3sigma in AB mag (Total): 25.389740626876154\n",
      "wfc3_f140w: mean flux error: 0.04970858877871873, 3sigma in AB mag (Total): 25.96611827884535\n",
      "wfc3_f160w: mean flux error: 0.06608457307581464, 3sigma in AB mag (Total): 25.656946641491167\n",
      "newfirm_j1: mean flux error: 20672984.10823371, 3sigma in AB mag (Total): 4.418688936243349\n",
      "newfirm_j2: mean flux error: 619.0175909819058, 3sigma in AB mag (Total): 15.727939386216697\n",
      "newfirm_j3: mean flux error: 542.0554880889088, 3sigma in AB mag (Total): 15.872087498619798\n",
      "newfirm_h1: mean flux error: 13183366.247884728, 3sigma in AB mag (Total): 4.907131069684375\n",
      "newfirm_h2: mean flux error: 516.382674240655, 3sigma in AB mag (Total): 15.924767707409636\n",
      "newfirm_k: mean flux error: 480.36450044260914, 3sigma in AB mag (Total): 16.003269600717694\n",
      "90prime_g: mean flux error: inf, 3sigma in AB mag (Total): -inf\n",
      "90prime_r: mean flux error: inf, 3sigma in AB mag (Total): -inf\n",
      "mosaic_z: mean flux error: inf, 3sigma in AB mag (Total): -inf\n",
      "ukidss_j: mean flux error: 12.750082015991211, 3sigma in AB mag (Total): 19.943414417162607\n",
      "megacam_u: mean flux error: 0.0712575167445799, 3sigma in AB mag (Total): 25.575120154358892\n",
      "megacam_g: mean flux error: 0.04469344850595754, 3sigma in AB mag (Total): 26.081587198896806\n",
      "megacam_r: mean flux error: 0.07879723935262516, 3sigma in AB mag (Total): 25.46591935738696\n",
      "megacam_i: mean flux error: 0.11769594842682417, 3sigma in AB mag (Total): 25.030293080904464\n",
      "megacam_z: mean flux error: 0.23093746470394308, 3sigma in AB mag (Total): 24.29846087895546\n",
      "wircam_j: mean flux error: 0.22998000957951764, 3sigma in AB mag (Total): 24.30297164388093\n",
      "wircam_h: mean flux error: 0.25222617507345546, 3sigma in AB mag (Total): 24.202721478186128\n",
      "wircam_ks: mean flux error: 0.2961568305164641, 3sigma in AB mag (Total): 24.028392479213615\n",
      "wircs_j: mean flux error: 3.1906943143922235, 3sigma in AB mag (Total): 21.44748386707925\n",
      "wircs_k: mean flux error: 2.785600675150898, 3sigma in AB mag (Total): 21.594899715615888\n",
      "nicmos_f160w: mean flux error: 0.019907068872343756, 3sigma in AB mag (Total): 26.95967856575397\n",
      "omega2000_j: mean flux error: -2.082777573581747, 3sigma in AB mag (Total): nan\n",
      "mmt_u: mean flux error: 0.12413515594889839, 3sigma in AB mag (Total): 24.97245987777793\n",
      "irac_i4: mean flux error: 1.442685143110741, 3sigma in AB mag (Total): 22.309267964659576\n",
      "mmt_z: mean flux error: 0.42238354225426744, 3sigma in AB mag (Total): 23.642929393170796\n",
      "suprime_rc: mean flux error: 0.05942396667088162, 3sigma in AB mag (Total): 25.772292767008288\n",
      "irac_i3: mean flux error: 1.4370553467392526, 3sigma in AB mag (Total): 22.313513126023643\n",
      "omega2000_ks: mean flux error: -0.307867495860336, 3sigma in AB mag (Total): nan\n",
      "nicmos_f110w: mean flux error: 0.05968099777978974, 3sigma in AB mag (Total): 25.767606674951743\n",
      "cfht12k_r: mean flux error: 0.05830061221608726, 3sigma in AB mag (Total): 25.793014074902253\n",
      "cfht12k_b: mean flux error: 0.056505097068885846, 3sigma in AB mag (Total): 25.8269777998891\n",
      "mmt_g: mean flux error: 0.11584410855891057, 3sigma in AB mag (Total): 25.04751198336742\n",
      "irac_i1: mean flux error: 0.5675425041195329, 3sigma in AB mag (Total): 23.32220088306071\n",
      "cfht12k_i: mean flux error: 0.14635251430735757, 3sigma in AB mag (Total): 24.793696393382028\n",
      "moircs_ks: mean flux error: 0.5230879305224959, 3sigma in AB mag (Total): 23.41076011459446\n",
      "irac_i2: mean flux error: 0.4592791551864558, 3sigma in AB mag (Total): 23.55200502568983\n",
      "mmt_i: mean flux error: 0.3006706793838812, 3sigma in AB mag (Total): 24.01196916593465\n"
     ]
    }
   ],
   "source": [
    "average_depths = []\n",
    "for b in ap_bands:\n",
    "    \n",
    "    mean_err = np.nanmean(depths['ferr_ap_{}_mean'.format(b)])\n",
    "    print(\"{}: mean flux error: {}, 3sigma in AB mag (Aperture): {}\".format(b, mean_err, flux_to_mag(3.0*mean_err*1.e-6)[0]))\n",
    "    average_depths += [('ap_' + b, flux_to_mag(1.0*mean_err*1.e-6)[0], \n",
    "                        flux_to_mag(3.0*mean_err*1.e-6)[0], \n",
    "                        flux_to_mag(5.0*mean_err*1.e-6)[0])]\n",
    "    \n",
    "for b in tot_bands:\n",
    "    \n",
    "    mean_err = np.nanmean(depths['ferr_{}_mean'.format(b)])\n",
    "    print(\"{}: mean flux error: {}, 3sigma in AB mag (Total): {}\".format(b, mean_err, flux_to_mag(3.0*mean_err*1.e-6)[0]))\n",
    "    average_depths += [(b, flux_to_mag(1.0*mean_err*1.e-6)[0], \n",
    "                        flux_to_mag(3.0*mean_err*1.e-6)[0], \n",
    "                        flux_to_mag(5.0*mean_err*1.e-6)[0])]\n",
    "    \n",
    "average_depths = np.array(average_depths,  dtype=[('band', \"<U16\"), ('1s', float), ('3s', float), ('5s', float)])\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def FWHM(X,Y):\n",
    "    \n",
    "    half_max = max(Y) / 2.\n",
    "    #find when function crosses line half_max (when sign of diff flips)\n",
    "    #take the 'derivative' of signum(half_max - Y[])\n",
    "    d = half_max - Y\n",
    "    #plot(X,d) #if you are interested\n",
    "    #find the left and right most indexes\n",
    "    low_end = X[np.where(d < 0)[0][0]]\n",
    "    high_end = X[np.where(d < 0)[0][-1]]\n",
    "    return low_end, high_end, (high_end - low_end)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = []\n",
    "\n",
    "for b in ap_bands:\n",
    "    data += [['ap_' + b, Table(data = parse_single_table(FILTERS_DIR + b +'.xml').array.data)]]\n",
    "    \n",
    "for b in tot_bands:\n",
    "    data += [[b, Table(data = parse_single_table(FILTERS_DIR + b +'.xml').array.data)]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ap_suprime_g (4090.0, 5460.0, 1370.0)\n",
      "ap_suprime_r (5440.0, 6960.0, 1520.0)\n",
      "ap_suprime_i (6980.0, 8420.0, 1440.0)\n",
      "ap_suprime_z (8540.0, 9280.0, 740.0)\n",
      "ap_suprime_y (9360.0, 10120.0, 760.0)\n",
      "ap_gpc1_g (4260.0, 5500.0, 1240.0)\n",
      "ap_gpc1_r (5500.0, 6900.0, 1400.0)\n",
      "ap_gpc1_i (6910.0, 8190.0, 1280.0)\n",
      "ap_gpc1_z (8190.0, 9210.0, 1020.0)\n",
      "ap_gpc1_y (9200.0, 9820.0, 620.0)\n",
      "ap_acs_f606w (4835.4, 7088.47, 2253.0703)\n",
      "ap_acs_f814w (7069.67, 9138.11, 2068.4404)\n",
      "ap_wfc3_f125w (10993.5, 13997.47, 3003.9697)\n",
      "ap_wfc3_f140w (12005.91, 15946.44, 3940.5303)\n",
      "ap_wfc3_f160w (13996.34, 16869.92, 2873.58)\n",
      "ap_newfirm_j1 (11600.0, 13387.0, 1787.0)\n",
      "ap_newfirm_j2 (11600.0, 13387.0, 1787.0)\n",
      "ap_newfirm_j3 (11600.0, 13387.0, 1787.0)\n",
      "ap_newfirm_h1 (14795.0, 17860.0, 3065.0)\n",
      "ap_newfirm_h2 (14795.0, 17860.0, 3065.0)\n",
      "ap_newfirm_k (19845.0, 23060.0, 3215.0)\n",
      "ap_90prime_g (4180.0, 5470.0, 1290.0)\n",
      "ap_90prime_r (5680.0, 7150.0, 1470.0)\n",
      "ap_mosaic_z (8552.0, 10018.0, 1466.0)\n",
      "ap_ukidss_j (11695.0, 13280.0, 1585.0)\n",
      "ap_megacam_u (3500.0, 4100.0, 600.0)\n",
      "ap_megacam_g (4180.0, 5580.0, 1400.0)\n",
      "ap_megacam_r (5680.0, 6880.0, 1200.0)\n",
      "ap_megacam_i (6831.7305, 8388.556, 1556.8252)\n",
      "ap_megacam_z (8280.0, 9160.0, 880.0)\n",
      "ap_wircam_j (11748.0, 13334.0, 1586.0)\n",
      "ap_wircam_h (14855.0, 17760.0, 2905.0)\n",
      "ap_wircam_ks (19870.0, 23135.0, 3265.0)\n",
      "ap_wircs_j (11976.79, 12146.47, 169.67969)\n",
      "ap_wircs_k (19870.11, 23046.93, 3176.8203)\n",
      "suprime_g (4090.0, 5460.0, 1370.0)\n",
      "suprime_r (5440.0, 6960.0, 1520.0)\n",
      "suprime_i (6980.0, 8420.0, 1440.0)\n",
      "suprime_z (8540.0, 9280.0, 740.0)\n",
      "suprime_y (9360.0, 10120.0, 760.0)\n",
      "gpc1_g (4260.0, 5500.0, 1240.0)\n",
      "gpc1_r (5500.0, 6900.0, 1400.0)\n",
      "gpc1_i (6910.0, 8190.0, 1280.0)\n",
      "gpc1_z (8190.0, 9210.0, 1020.0)\n",
      "gpc1_y (9200.0, 9820.0, 620.0)\n",
      "acs_f606w (4835.4, 7088.47, 2253.0703)\n",
      "acs_f814w (7069.67, 9138.11, 2068.4404)\n",
      "wfc3_f125w (10993.5, 13997.47, 3003.9697)\n",
      "wfc3_f140w (12005.91, 15946.44, 3940.5303)\n",
      "wfc3_f160w (13996.34, 16869.92, 2873.58)\n",
      "newfirm_j1 (11600.0, 13387.0, 1787.0)\n",
      "newfirm_j2 (11600.0, 13387.0, 1787.0)\n",
      "newfirm_j3 (11600.0, 13387.0, 1787.0)\n",
      "newfirm_h1 (14795.0, 17860.0, 3065.0)\n",
      "newfirm_h2 (14795.0, 17860.0, 3065.0)\n",
      "newfirm_k (19845.0, 23060.0, 3215.0)\n",
      "90prime_g (4180.0, 5470.0, 1290.0)\n",
      "90prime_r (5680.0, 7150.0, 1470.0)\n",
      "mosaic_z (8552.0, 10018.0, 1466.0)\n",
      "ukidss_j (11695.0, 13280.0, 1585.0)\n",
      "megacam_u (3500.0, 4100.0, 600.0)\n",
      "megacam_g (4180.0, 5580.0, 1400.0)\n",
      "megacam_r (5680.0, 6880.0, 1200.0)\n",
      "megacam_i (6831.7305, 8388.556, 1556.8252)\n",
      "megacam_z (8280.0, 9160.0, 880.0)\n",
      "wircam_j (11748.0, 13334.0, 1586.0)\n",
      "wircam_h (14855.0, 17760.0, 2905.0)\n",
      "wircam_ks (19870.0, 23135.0, 3265.0)\n",
      "wircs_j (11976.79, 12146.47, 169.67969)\n",
      "wircs_k (19870.11, 23046.93, 3176.8203)\n",
      "nicmos_f160w (13983.17, 17968.71, 3985.541)\n",
      "omega2000_j (10854.4, 13313.6, 2459.1992)\n",
      "mmt_u (3455.0, 3815.0, 360.0)\n",
      "irac_i4 (64415.2, 92596.8, 28181.598)\n",
      "mmt_z (8410.0, 9485.0, 1075.0)\n",
      "suprime_rc (5919.9, 7079.5, 1159.6001)\n",
      "irac_i3 (50246.3, 64096.7, 13850.398)\n",
      "omega2000_ks (19991.0, 23026.0, 3035.0)\n",
      "nicmos_f110w (8695.906, 13957.38, 5261.4736)\n",
      "cfht12k_r (5960.0, 7200.0, 1240.0)\n",
      "cfht12k_b (3820.0, 4800.0, 980.0)\n",
      "mmt_g (4115.0, 5485.0, 1370.0)\n",
      "irac_i1 (31754.0, 39164.8, 7410.801)\n",
      "cfht12k_i (7160.0, 9300.0, 2140.0)\n",
      "moircs_ks (19915.0, 23010.0, 3095.0)\n",
      "irac_i2 (39980.1, 50052.3, 10072.199)\n",
      "mmt_i (7085.0, 8655.0, 1570.0)\n"
     ]
    }
   ],
   "source": [
    "wav_range = []\n",
    "for dat in data:\n",
    "    print(dat[0], FWHM(np.array(dat[1]['Wavelength']), np.array(dat[1]['Transmission'])))\n",
    "    wav_range += [[dat[0], FWHM(np.array(dat[1]['Wavelength']), np.array(dat[1]['Transmission']))]]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Depths on EGS')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for dat in data:\n",
    "    wav_deets = FWHM(np.array(dat[1]['Wavelength']), np.array(dat[1]['Transmission']))\n",
    "    depth = average_depths['5s'][average_depths['band'] == dat[0]]\n",
    "    #print(depth)\n",
    "    plt.plot([wav_deets[0],wav_deets[1]], [depth,depth], label=dat[0])\n",
    "    \n",
    "plt.xlabel('Wavelength ($\\AA$)')\n",
    "plt.ylabel('Depth')\n",
    "plt.xscale('log')\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
    "plt.title('Depths on {}'.format(FIELD))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### IV.c - Depth vs coverage comparison\n",
    "\n",
    "How best to do this? Colour/intensity plot over area? Percentage coverage vs mean depth?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Depths (5 $\\\\sigma$) vs coverage on EGS')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for dat in data:\n",
    "    wav_deets = FWHM(np.array(dat[1]['Wavelength']), np.array(dat[1]['Transmission']))\n",
    "    depth = average_depths['5s'][average_depths['band'] == dat[0]]\n",
    "    #print(depth)\n",
    "    coverage = np.sum(~np.isnan(depths['ferr_{}_mean'.format(dat[0])]))/len(depths)\n",
    "    plt.plot(coverage, depth, 'x', label=dat[0])\n",
    "    \n",
    "plt.xlabel('Coverage')\n",
    "plt.ylabel('Depth')\n",
    "#plt.xscale('log')\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
    "plt.title('Depths (5 $\\sigma$) vs coverage on {}'.format(FIELD))"
   ]
  }
 ],
 "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": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}