{
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   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# Herschel-Stripe-82 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": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This notebook was run with herschelhelp_internal version: \n",
      "017bb1e (Mon Jun 18 14:58:59 2018 +0100)\n",
      "This notebook was executed on: \n",
      "2018-06-25 14:50:11.358985\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,
    "deletable": true,
    "editable": 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,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "FIELD = 'Herschel-Stripe-82'\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": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Depth maps produced using: ml_for_depths_herschel-stripe-82_20180307.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 = \"ml_for_depths_herschel-stripe-82_{}.fits\".format( 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": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Remove sources whose signal to noise ratio is less than five as these will have been selected using forced \n",
    "# photometry and so the errors will not refelct the RMS of the map \n",
    "for n,col in enumerate(master_catalogue.colnames):\n",
    "    if col.startswith(\"f_\"):\n",
    "        err_col = \"ferr{}\".format(col[1:])\n",
    "        errs = master_catalogue[err_col]\n",
    "        fluxes = master_catalogue[col]\n",
    "        mask = fluxes/errs < 5.0\n",
    "        master_catalogue[col][mask] = np.nan\n",
    "        master_catalogue[err_col][mask] = np.nan"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "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": 6,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": 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": 7,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": 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": 8,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": 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": {
    "deletable": true,
    "editable": true
   },
   "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": 9,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "depths = Table()\n",
    "depths['hp_idx_O_13'] = list(field_moc.flattened(13))"
   ]
  },
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   "execution_count": 10,
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       "<table id=\"table140304636805192-574478\" 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_suprime_n921_mean</th><th>f_ap_suprime_n921_p90</th><th>ferr_suprime_n921_mean</th><th>f_suprime_n921_p90</th><th>ferr_ap_suprime_n816_mean</th><th>f_ap_suprime_n816_p90</th><th>ferr_suprime_n816_mean</th><th>f_suprime_n816_p90</th><th>ferr_ap_vista_y_mean</th><th>f_ap_vista_y_p90</th><th>ferr_vista_y_mean</th><th>f_vista_y_p90</th><th>ferr_ap_vista_h_mean</th><th>f_ap_vista_h_p90</th><th>ferr_vista_h_mean</th><th>f_vista_h_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_vista_j_mean</th><th>f_ap_vista_j_p90</th><th>ferr_vista_j_mean</th><th>f_vista_j_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_vista_ks_mean</th><th>f_ap_vista_ks_p90</th><th>ferr_vista_ks_mean</th><th>f_vista_ks_p90</th><th>ferr_ukidss_y_mean</th><th>f_ukidss_y_p90</th><th>ferr_ap_ukidss_y_mean</th><th>f_ap_ukidss_y_p90</th><th>ferr_ukidss_j_mean</th><th>f_ukidss_j_p90</th><th>ferr_ap_ukidss_j_mean</th><th>f_ap_ukidss_j_p90</th><th>ferr_ap_ukidss_h_mean</th><th>f_ap_ukidss_h_p90</th><th>ferr_ukidss_h_mean</th><th>f_ukidss_h_p90</th><th>ferr_ap_ukidss_k_mean</th><th>f_ap_ukidss_k_p90</th><th>ferr_ukidss_k_mean</th><th>f_ukidss_k_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_irac_i1_mean</th><th>f_ap_irac_i1_p90</th><th>ferr_irac_i1_mean</th><th>f_irac_i1_p90</th><th>ferr_ap_irac_i2_mean</th><th>f_ap_irac_i2_p90</th><th>ferr_irac_i2_mean</th><th>f_irac_i2_p90</th><th>ferr_ap_decam_i_mean</th><th>f_ap_decam_i_p90</th><th>ferr_decam_i_mean</th><th>f_decam_i_p90</th><th>ferr_ap_decam_y_mean</th><th>f_ap_decam_y_p90</th><th>ferr_decam_y_mean</th><th>f_decam_y_p90</th><th>ferr_ap_decam_g_mean</th><th>f_ap_decam_g_p90</th><th>ferr_decam_g_mean</th><th>f_decam_g_p90</th><th>ferr_ap_decam_r_mean</th><th>f_ap_decam_r_p90</th><th>ferr_decam_r_mean</th><th>f_decam_r_p90</th><th>ferr_ap_decam_z_mean</th><th>f_ap_decam_z_p90</th><th>ferr_decam_z_mean</th><th>f_decam_z_p90</th><th>ferr_megacam_g_mean</th><th>f_megacam_g_p90</th><th>ferr_megacam_r_mean</th><th>f_megacam_r_p90</th><th>ferr_megacam_i_mean</th><th>f_megacam_i_p90</th><th>ferr_megacam_z_mean</th><th>f_megacam_z_p90</th><th>ferr_megacam_y_mean</th><th>f_megacam_y_p90</th><th>ferr_sdss_u_mean</th><th>f_sdss_u_p90</th><th>ferr_sdss_g_mean</th><th>f_sdss_g_p90</th><th>ferr_sdss_r_mean</th><th>f_sdss_r_p90</th><th>ferr_sdss_i_mean</th><th>f_sdss_i_p90</th><th>ferr_sdss_z_mean</th><th>f_sdss_z_p90</th><th>ferr_ap_sdss_u_mean</th><th>f_ap_sdss_u_p90</th><th>ferr_ap_sdss_g_mean</th><th>f_ap_sdss_g_p90</th><th>ferr_ap_sdss_r_mean</th><th>f_ap_sdss_r_p90</th><th>ferr_ap_sdss_i_mean</th><th>f_ap_sdss_i_p90</th><th>ferr_ap_sdss_z_mean</th><th>f_ap_sdss_z_p90</th></tr></thead>\n",
       "<tr><td>0</td><td>283010926</td><td>4422045</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.6663945163855857</td><td>8.562372086859712</td><td>0.6980252584378036</td><td>8.166195614575006</td><td>0.54884360007069</td><td>17.649615659888585</td><td>0.6899060993495374</td><td>17.546317639488713</td><td>0.8827311377207262</td><td>33.03907493909644</td><td>0.8871972250203473</td><td>29.16519112722181</td><td>1.8656364290878744</td><td>40.02308230594046</td><td>1.8354863031939124</td><td>36.930620373406086</td><td>4.332169976068439</td><td>66.16562344711417</td><td>4.748989122537494</td><td>63.3108166784456</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.287777422508373</td><td>11.057299090383063</td><td>0.5814616016516414</td><td>14.497351554021874</td><td>2.348137629332077</td><td>44.63492890415645</td><td>4.301787402886749</td><td>76.17839928863256</td><td>0.15947791023820646</td><td>4.526811759858735</td><td>0.24114446887380153</td><td>4.664934175511461</td><td>0.18865068033419552</td><td>10.745291299726365</td><td>0.36203104660801155</td><td>12.745302089889968</td><td>0.48431180485670944</td><td>22.309875589064944</td><td>0.9886748545950814</td><td>26.212934747843523</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>283010937</td><td>4422045</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.6663945163855857</td><td>8.562372086859712</td><td>0.6980252584378036</td><td>8.166195614575006</td><td>0.54884360007069</td><td>17.649615659888585</td><td>0.6899060993495374</td><td>17.546317639488713</td><td>0.8827311377207262</td><td>33.03907493909644</td><td>0.8871972250203473</td><td>29.16519112722181</td><td>1.8656364290878744</td><td>40.02308230594046</td><td>1.8354863031939124</td><td>36.930620373406086</td><td>4.332169976068439</td><td>66.16562344711417</td><td>4.748989122537494</td><td>63.3108166784456</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.287777422508373</td><td>11.057299090383063</td><td>0.5814616016516414</td><td>14.497351554021874</td><td>2.348137629332077</td><td>44.63492890415645</td><td>4.301787402886749</td><td>76.17839928863256</td><td>0.15947791023820646</td><td>4.526811759858735</td><td>0.24114446887380153</td><td>4.664934175511461</td><td>0.18865068033419552</td><td>10.745291299726365</td><td>0.36203104660801155</td><td>12.745302089889968</td><td>0.48431180485670944</td><td>22.309875589064944</td><td>0.9886748545950814</td><td>26.212934747843523</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>283010939</td><td>4422045</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.6663945163855857</td><td>8.562372086859712</td><td>0.6980252584378036</td><td>8.166195614575006</td><td>0.54884360007069</td><td>17.649615659888585</td><td>0.6899060993495374</td><td>17.546317639488713</td><td>0.8827311377207262</td><td>33.03907493909644</td><td>0.8871972250203473</td><td>29.16519112722181</td><td>1.8656364290878744</td><td>40.02308230594046</td><td>1.8354863031939124</td><td>36.930620373406086</td><td>4.332169976068439</td><td>66.16562344711417</td><td>4.748989122537494</td><td>63.3108166784456</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.287777422508373</td><td>11.057299090383063</td><td>0.5814616016516414</td><td>14.497351554021874</td><td>2.348137629332077</td><td>44.63492890415645</td><td>4.301787402886749</td><td>76.17839928863256</td><td>0.15947791023820646</td><td>4.526811759858735</td><td>0.24114446887380153</td><td>4.664934175511461</td><td>0.18865068033419552</td><td>10.745291299726365</td><td>0.36203104660801155</td><td>12.745302089889968</td><td>0.48431180485670944</td><td>22.309875589064944</td><td>0.9886748545950814</td><td>26.212934747843523</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>283010938</td><td>4422045</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.6663945163855857</td><td>8.562372086859712</td><td>0.6980252584378036</td><td>8.166195614575006</td><td>0.54884360007069</td><td>17.649615659888585</td><td>0.6899060993495374</td><td>17.546317639488713</td><td>0.8827311377207262</td><td>33.03907493909644</td><td>0.8871972250203473</td><td>29.16519112722181</td><td>1.8656364290878744</td><td>40.02308230594046</td><td>1.8354863031939124</td><td>36.930620373406086</td><td>4.332169976068439</td><td>66.16562344711417</td><td>4.748989122537494</td><td>63.3108166784456</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.287777422508373</td><td>11.057299090383063</td><td>0.5814616016516414</td><td>14.497351554021874</td><td>2.348137629332077</td><td>44.63492890415645</td><td>4.301787402886749</td><td>76.17839928863256</td><td>0.15947791023820646</td><td>4.526811759858735</td><td>0.24114446887380153</td><td>4.664934175511461</td><td>0.18865068033419552</td><td>10.745291299726365</td><td>0.36203104660801155</td><td>12.745302089889968</td><td>0.48431180485670944</td><td>22.309875589064944</td><td>0.9886748545950814</td><td>26.212934747843523</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>283010943</td><td>4422045</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.6663945163855857</td><td>8.562372086859712</td><td>0.6980252584378036</td><td>8.166195614575006</td><td>0.54884360007069</td><td>17.649615659888585</td><td>0.6899060993495374</td><td>17.546317639488713</td><td>0.8827311377207262</td><td>33.03907493909644</td><td>0.8871972250203473</td><td>29.16519112722181</td><td>1.8656364290878744</td><td>40.02308230594046</td><td>1.8354863031939124</td><td>36.930620373406086</td><td>4.332169976068439</td><td>66.16562344711417</td><td>4.748989122537494</td><td>63.3108166784456</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.287777422508373</td><td>11.057299090383063</td><td>0.5814616016516414</td><td>14.497351554021874</td><td>2.348137629332077</td><td>44.63492890415645</td><td>4.301787402886749</td><td>76.17839928863256</td><td>0.15947791023820646</td><td>4.526811759858735</td><td>0.24114446887380153</td><td>4.664934175511461</td><td>0.18865068033419552</td><td>10.745291299726365</td><td>0.36203104660801155</td><td>12.745302089889968</td><td>0.48431180485670944</td><td>22.309875589064944</td><td>0.9886748545950814</td><td>26.212934747843523</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>283010942</td><td>4422045</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.6663945163855857</td><td>8.562372086859712</td><td>0.6980252584378036</td><td>8.166195614575006</td><td>0.54884360007069</td><td>17.649615659888585</td><td>0.6899060993495374</td><td>17.546317639488713</td><td>0.8827311377207262</td><td>33.03907493909644</td><td>0.8871972250203473</td><td>29.16519112722181</td><td>1.8656364290878744</td><td>40.02308230594046</td><td>1.8354863031939124</td><td>36.930620373406086</td><td>4.332169976068439</td><td>66.16562344711417</td><td>4.748989122537494</td><td>63.3108166784456</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.287777422508373</td><td>11.057299090383063</td><td>0.5814616016516414</td><td>14.497351554021874</td><td>2.348137629332077</td><td>44.63492890415645</td><td>4.301787402886749</td><td>76.17839928863256</td><td>0.15947791023820646</td><td>4.526811759858735</td><td>0.24114446887380153</td><td>4.664934175511461</td><td>0.18865068033419552</td><td>10.745291299726365</td><td>0.36203104660801155</td><td>12.745302089889968</td><td>0.48431180485670944</td><td>22.309875589064944</td><td>0.9886748545950814</td><td>26.212934747843523</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>283010927</td><td>4422045</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.6663945163855857</td><td>8.562372086859712</td><td>0.6980252584378036</td><td>8.166195614575006</td><td>0.54884360007069</td><td>17.649615659888585</td><td>0.6899060993495374</td><td>17.546317639488713</td><td>0.8827311377207262</td><td>33.03907493909644</td><td>0.8871972250203473</td><td>29.16519112722181</td><td>1.8656364290878744</td><td>40.02308230594046</td><td>1.8354863031939124</td><td>36.930620373406086</td><td>4.332169976068439</td><td>66.16562344711417</td><td>4.748989122537494</td><td>63.3108166784456</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.287777422508373</td><td>11.057299090383063</td><td>0.5814616016516414</td><td>14.497351554021874</td><td>2.348137629332077</td><td>44.63492890415645</td><td>4.301787402886749</td><td>76.17839928863256</td><td>0.15947791023820646</td><td>4.526811759858735</td><td>0.24114446887380153</td><td>4.664934175511461</td><td>0.18865068033419552</td><td>10.745291299726365</td><td>0.36203104660801155</td><td>12.745302089889968</td><td>0.48431180485670944</td><td>22.309875589064944</td><td>0.9886748545950814</td><td>26.212934747843523</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>283011007</td><td>4422046</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.8111062193140567</td><td>34.809105471496515</td><td>0.793446841194127</td><td>32.51852645796803</td><td>0.6645622723001714</td><td>62.66849621834788</td><td>0.6927907101439662</td><td>58.20856305942263</td><td>0.8560707813589927</td><td>85.6105494030429</td><td>0.8552746269650269</td><td>78.23137485545693</td><td>1.7362814370107387</td><td>147.2803926947176</td><td>1.6826964997925955</td><td>138.25730231285675</td><td>4.8582869211769655</td><td>310.1813011833186</td><td>4.646224994234869</td><td>255.11321969192846</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.30294873842265163</td><td>24.417983014068007</td><td>0.5840196746388545</td><td>33.917534282980064</td><td>2.4829417748137974</td><td>187.94481811249437</td><td>4.27544842177677</td><td>555.3792413666222</td><td>0.16964775021855485</td><td>13.583911170692968</td><td>0.22387179665019308</td><td>15.292729291704674</td><td>0.20156775753348702</td><td>13.39240268894288</td><td>0.3448906802171824</td><td>19.647412299722284</td><td>0.49719389621215093</td><td>35.81180302656718</td><td>0.9237330712604782</td><td>46.51452426864914</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>283011004</td><td>4422046</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.8111062193140567</td><td>34.809105471496515</td><td>0.793446841194127</td><td>32.51852645796803</td><td>0.6645622723001714</td><td>62.66849621834788</td><td>0.6927907101439662</td><td>58.20856305942263</td><td>0.8560707813589927</td><td>85.6105494030429</td><td>0.8552746269650269</td><td>78.23137485545693</td><td>1.7362814370107387</td><td>147.2803926947176</td><td>1.6826964997925955</td><td>138.25730231285675</td><td>4.8582869211769655</td><td>310.1813011833186</td><td>4.646224994234869</td><td>255.11321969192846</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.30294873842265163</td><td>24.417983014068007</td><td>0.5840196746388545</td><td>33.917534282980064</td><td>2.4829417748137974</td><td>187.94481811249437</td><td>4.27544842177677</td><td>555.3792413666222</td><td>0.16964775021855485</td><td>13.583911170692968</td><td>0.22387179665019308</td><td>15.292729291704674</td><td>0.20156775753348702</td><td>13.39240268894288</td><td>0.3448906802171824</td><td>19.647412299722284</td><td>0.49719389621215093</td><td>35.81180302656718</td><td>0.9237330712604782</td><td>46.51452426864914</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>283010972</td><td>4422046</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.8111062193140567</td><td>34.809105471496515</td><td>0.793446841194127</td><td>32.51852645796803</td><td>0.6645622723001714</td><td>62.66849621834788</td><td>0.6927907101439662</td><td>58.20856305942263</td><td>0.8560707813589927</td><td>85.6105494030429</td><td>0.8552746269650269</td><td>78.23137485545693</td><td>1.7362814370107387</td><td>147.2803926947176</td><td>1.6826964997925955</td><td>138.25730231285675</td><td>4.8582869211769655</td><td>310.1813011833186</td><td>4.646224994234869</td><td>255.11321969192846</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.30294873842265163</td><td>24.417983014068007</td><td>0.5840196746388545</td><td>33.917534282980064</td><td>2.4829417748137974</td><td>187.94481811249437</td><td>4.27544842177677</td><td>555.3792413666222</td><td>0.16964775021855485</td><td>13.583911170692968</td><td>0.22387179665019308</td><td>15.292729291704674</td><td>0.20156775753348702</td><td>13.39240268894288</td><td>0.3448906802171824</td><td>19.647412299722284</td><td>0.49719389621215093</td><td>35.81180302656718</td><td>0.9237330712604782</td><td>46.51452426864914</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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(\"$('#table140304636805192-574478').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",
       "    $('#table140304636805192-574478').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], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 13,
     "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": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## III - Save the depth map table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "depths.write(\"{}/depths_{}_{}.fits\".format(OUT_DIR, FIELD.lower(), SUFFIX), overwrite=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "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": 15,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'decam_g',\n",
       " 'decam_i',\n",
       " 'decam_r',\n",
       " 'decam_y',\n",
       " 'decam_z',\n",
       " 'gpc1_g',\n",
       " 'gpc1_i',\n",
       " 'gpc1_r',\n",
       " 'gpc1_y',\n",
       " 'gpc1_z',\n",
       " 'irac_i1',\n",
       " 'irac_i2',\n",
       " 'megacam_g',\n",
       " 'megacam_i',\n",
       " 'megacam_r',\n",
       " 'megacam_y',\n",
       " 'megacam_z',\n",
       " 'sdss_g',\n",
       " 'sdss_i',\n",
       " 'sdss_r',\n",
       " 'sdss_u',\n",
       " 'sdss_z',\n",
       " 'suprime_g',\n",
       " 'suprime_i',\n",
       " 'suprime_n816',\n",
       " 'suprime_n921',\n",
       " 'suprime_r',\n",
       " 'suprime_y',\n",
       " 'suprime_z',\n",
       " 'ukidss_h',\n",
       " 'ukidss_j',\n",
       " 'ukidss_k',\n",
       " 'ukidss_y',\n",
       " 'vista_h',\n",
       " 'vista_j',\n",
       " 'vista_ks',\n",
       " 'vista_y',\n",
       " 'wircam_j',\n",
       " 'wircam_ks'}"
      ]
     },
     "execution_count": 15,
     "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": 16,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Passbands on Herschel-Stripe-82')"
      ]
     },
     "execution_count": 16,
     "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": {
    "deletable": true,
    "editable": true
   },
   "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": 17,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "suprime_g: mean flux error: 0.021314684683352843, 3sigma in AB mag (Aperture): 26.885499582353667\n",
      "suprime_r: mean flux error: 0.027464429573223877, 3sigma in AB mag (Aperture): 26.610270404941552\n",
      "suprime_i: mean flux error: 0.03667077502747913, 3sigma in AB mag (Aperture): 26.29639664129902\n",
      "suprime_z: mean flux error: 0.07990818328447057, 3sigma in AB mag (Aperture): 25.450718720507062\n",
      "suprime_y: mean flux error: 0.13955967082449253, 3sigma in AB mag (Aperture): 24.84529702215338\n",
      "suprime_n921: mean flux error: 0.09560570370645947, 3sigma in AB mag (Aperture): 25.255987357030712\n",
      "suprime_n816: mean flux error: 0.09816046756103075, 3sigma in AB mag (Aperture): 25.227355317278274\n",
      "vista_y: mean flux error: 9.55196450972724, 3sigma in AB mag (Aperture): 20.256965112777145\n",
      "vista_h: mean flux error: 5.446963724700304, 3sigma in AB mag (Aperture): 20.866810655702302\n",
      "wircam_j: mean flux error: nan, 3sigma in AB mag (Aperture): nan\n",
      "vista_j: mean flux error: 3.7489995024530045, 3sigma in AB mag (Aperture): 21.27240840624001\n",
      "wircam_ks: mean flux error: nan, 3sigma in AB mag (Aperture): nan\n",
      "vista_ks: mean flux error: 6.669477658627165, 3sigma in AB mag (Aperture): 20.646967307966783\n",
      "ukidss_y: mean flux error: 3.73959038812259, 3sigma in AB mag (Aperture): 21.275136776095586\n",
      "ukidss_j: mean flux error: 4.789693942445707, 3sigma in AB mag (Aperture): 21.006427455109936\n",
      "ukidss_h: mean flux error: 6.316835814294276, 3sigma in AB mag (Aperture): 20.705947890797383\n",
      "ukidss_k: mean flux error: 6.406192479170942, 3sigma in AB mag (Aperture): 20.690696905079584\n",
      "gpc1_g: mean flux error: 184.17398125999412, 3sigma in AB mag (Aperture): 17.044126172508435\n",
      "gpc1_r: mean flux error: 84.75963021305238, 3sigma in AB mag (Aperture): 17.88672422991322\n",
      "gpc1_i: mean flux error: 36.1541112834288, 3sigma in AB mag (Aperture): 18.811802637050967\n",
      "gpc1_z: mean flux error: 108.39429779399642, 3sigma in AB mag (Aperture): 17.619680772587422\n",
      "gpc1_y: mean flux error: 15356.511210331124, 3sigma in AB mag (Aperture): 12.241465460388014\n",
      "irac_i1: mean flux error: 1.7915446788133353, 3sigma in AB mag (Aperture): 22.074127754747444\n",
      "irac_i2: mean flux error: 1.7348667936610718, 3sigma in AB mag (Aperture): 22.10903152705341\n",
      "decam_i: mean flux error: 0.2506068729725268, 3sigma in AB mag (Aperture): 24.209714419489366\n",
      "decam_y: mean flux error: 1.66333859846932, 3sigma in AB mag (Aperture): 22.154745199144095\n",
      "decam_g: mean flux error: 0.13142728287223224, 3sigma in AB mag (Aperture): 24.91048303973553\n",
      "decam_r: mean flux error: 0.1527407406293305, 3sigma in AB mag (Aperture): 24.747309632861565\n",
      "decam_z: mean flux error: 0.4083602807558256, 3sigma in AB mag (Aperture): 23.679588128876738\n",
      "sdss_u: mean flux error: 0.2992085955280064, 3sigma in AB mag (Aperture): 24.017261699237487\n",
      "sdss_g: mean flux error: 0.1321219034165833, 3sigma in AB mag (Aperture): 24.90475980886152\n",
      "sdss_r: mean flux error: 0.19895240858031651, 3sigma in AB mag (Aperture): 24.46032386015191\n",
      "sdss_i: mean flux error: 0.3282862263583297, 3sigma in AB mag (Aperture): 23.91656520878427\n",
      "sdss_z: mean flux error: 1.0784499920467874, 3sigma in AB mag (Aperture): 22.625196834253636\n",
      "suprime_g: mean flux error: 0.03227878702609637, 3sigma in AB mag (Total): 26.43490384715961\n",
      "suprime_r: mean flux error: 0.0447037203630299, 3sigma in AB mag (Total): 26.081337693743485\n",
      "suprime_i: mean flux error: 0.061668889226163134, 3sigma in AB mag (Total): 25.7320315481304\n",
      "suprime_z: mean flux error: 0.12941135259691905, 3sigma in AB mag (Total): 24.927265922099956\n",
      "suprime_y: mean flux error: 0.24685750598921066, 3sigma in AB mag (Total): 24.226081020739592\n",
      "suprime_n921: mean flux error: 0.170055812567048, 3sigma in AB mag (Total): 24.63071816105218\n",
      "suprime_n816: mean flux error: 0.18020184400342512, 3sigma in AB mag (Total): 24.567798786210126\n",
      "vista_y: mean flux error: 10.097115740991253, 3sigma in AB mag (Total): 20.19670352692767\n",
      "vista_h: mean flux error: 14.535053694417414, 3sigma in AB mag (Total): 19.801155262073685\n",
      "wircam_j: mean flux error: nan, 3sigma in AB mag (Total): nan\n",
      "vista_j: mean flux error: 9.335250763955372, 3sigma in AB mag (Total): 20.281881891998175\n",
      "wircam_ks: mean flux error: nan, 3sigma in AB mag (Total): nan\n",
      "vista_ks: mean flux error: 18.374126331837253, 3sigma in AB mag (Total): 19.546680118066398\n",
      "ukidss_y: mean flux error: 6.781086976304754, 3sigma in AB mag (Total): 20.6289485761829\n",
      "ukidss_j: mean flux error: 6.80626100773032, 3sigma in AB mag (Total): 20.62492536449431\n",
      "ukidss_h: mean flux error: 12.801032103709774, 3sigma in AB mag (Total): 19.939084396332042\n",
      "ukidss_k: mean flux error: 12.982511612241437, 3sigma in AB mag (Total): 19.92380006389309\n",
      "gpc1_g: mean flux error: 453.8056942597262, 3sigma in AB mag (Total): 16.065022010650374\n",
      "gpc1_r: mean flux error: 145.5154354558102, 3sigma in AB mag (Total): 17.299924205020865\n",
      "gpc1_i: mean flux error: 8.004243582960475, 3sigma in AB mag (Total): 20.448896121959216\n",
      "gpc1_z: mean flux error: 86.73539023695804, 3sigma in AB mag (Total): 17.861706021224073\n",
      "gpc1_y: mean flux error: 15727.926300974344, 3sigma in AB mag (Total): 12.215518199588004\n",
      "irac_i1: mean flux error: 3.2397633093743194, 3sigma in AB mag (Total): 21.430913656501836\n",
      "irac_i2: mean flux error: 3.1217326134339585, 3sigma in AB mag (Total): 21.471207609244594\n",
      "decam_i: mean flux error: 0.463362938420983, 3sigma in AB mag (Total): 23.542393627518784\n",
      "decam_y: mean flux error: 3.0700988833263048, 3sigma in AB mag (Total): 21.48931595399373\n",
      "decam_g: mean flux error: 0.2873178527271416, 3sigma in AB mag (Total): 24.061290333027806\n",
      "decam_r: mean flux error: 0.31649661734193274, 3sigma in AB mag (Total): 23.95627418140574\n",
      "decam_z: mean flux error: 1.3232408187157243, 3sigma in AB mag (Total): 22.40309963987894\n",
      "megacam_g: mean flux error: 0.044394865556938855, 3sigma in AB mag (Total): 26.08886500037095\n",
      "megacam_r: mean flux error: 0.05267222562619084, 3sigma in AB mag (Total): 25.903242689352318\n",
      "megacam_i: mean flux error: 0.07886832265439188, 3sigma in AB mag (Total): 25.464940351971585\n",
      "megacam_z: mean flux error: 0.21184091892407883, 3sigma in AB mag (Total): 24.39217223408233\n",
      "megacam_y: mean flux error: 0.07167101709862315, 3sigma in AB mag (Total): 25.56883794400462\n",
      "sdss_u: mean flux error: 0.7811828331287377, 3sigma in AB mag (Total): 22.975315135978313\n",
      "sdss_g: mean flux error: 0.36187434522348777, 3sigma in AB mag (Total): 23.810802375054585\n",
      "sdss_r: mean flux error: 0.5731398397533163, 3sigma in AB mag (Total): 23.31154536838843\n",
      "sdss_i: mean flux error: 0.9148208526782547, 3sigma in AB mag (Total): 22.80385672451218\n",
      "sdss_z: mean flux error: 2.7529710457776115, 3sigma in AB mag (Total): 21.60769275382861\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": 18,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": 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": 19,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": 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": 20,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "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_suprime_n921 (9146.5, 9279.0, 132.5)\n",
      "ap_suprime_n816 (8117.9, 8220.3, 102.3999)\n",
      "ap_vista_y (9740.0, 10660.0, 920.0)\n",
      "ap_vista_h (15000.0, 17900.0, 2900.0)\n",
      "ap_wircam_j (11748.0, 13334.0, 1586.0)\n",
      "ap_vista_j (11670.0, 13380.0, 1710.0)\n",
      "ap_wircam_ks (19870.0, 23135.0, 3265.0)\n",
      "ap_vista_ks (19930.0, 23010.0, 3080.0)\n",
      "ap_ukidss_y (9790.0, 10820.0, 1030.0)\n",
      "ap_ukidss_j (11695.0, 13280.0, 1585.0)\n",
      "ap_ukidss_h (14925.0, 17840.0, 2915.0)\n",
      "ap_ukidss_k (20290.0, 23820.0, 3530.0)\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_irac_i1 (31754.0, 39164.8, 7410.801)\n",
      "ap_irac_i2 (39980.1, 50052.3, 10072.199)\n",
      "ap_decam_i (7090.0, 8560.0, 1470.0)\n",
      "ap_decam_y (9510.0, 10170.0, 660.0)\n",
      "ap_decam_g (4180.0, 5470.0, 1290.0)\n",
      "ap_decam_r (5680.0, 7150.0, 1470.0)\n",
      "ap_decam_z (8490.0, 9960.0, 1470.0)\n",
      "ap_sdss_u (3280.0, 3855.0, 575.0)\n",
      "ap_sdss_g (4080.0, 5330.0, 1250.0)\n",
      "ap_sdss_r (5605.0, 6730.0, 1125.0)\n",
      "ap_sdss_i (6930.0, 8130.0, 1200.0)\n",
      "ap_sdss_z (8305.0, 9255.0, 950.0)\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",
      "suprime_n921 (9146.5, 9279.0, 132.5)\n",
      "suprime_n816 (8117.9, 8220.3, 102.3999)\n",
      "vista_y (9740.0, 10660.0, 920.0)\n",
      "vista_h (15000.0, 17900.0, 2900.0)\n",
      "wircam_j (11748.0, 13334.0, 1586.0)\n",
      "vista_j (11670.0, 13380.0, 1710.0)\n",
      "wircam_ks (19870.0, 23135.0, 3265.0)\n",
      "vista_ks (19930.0, 23010.0, 3080.0)\n",
      "ukidss_y (9790.0, 10820.0, 1030.0)\n",
      "ukidss_j (11695.0, 13280.0, 1585.0)\n",
      "ukidss_h (14925.0, 17840.0, 2915.0)\n",
      "ukidss_k (20290.0, 23820.0, 3530.0)\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",
      "irac_i1 (31754.0, 39164.8, 7410.801)\n",
      "irac_i2 (39980.1, 50052.3, 10072.199)\n",
      "decam_i (7090.0, 8560.0, 1470.0)\n",
      "decam_y (9510.0, 10170.0, 660.0)\n",
      "decam_g (4180.0, 5470.0, 1290.0)\n",
      "decam_r (5680.0, 7150.0, 1470.0)\n",
      "decam_z (8490.0, 9960.0, 1470.0)\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",
      "megacam_y (7040.0, 8360.0, 1320.0)\n",
      "sdss_u (3280.0, 3855.0, 575.0)\n",
      "sdss_g (4080.0, 5330.0, 1250.0)\n",
      "sdss_r (5605.0, 6730.0, 1125.0)\n",
      "sdss_i (6930.0, 8130.0, 1200.0)\n",
      "sdss_z (8305.0, 9255.0, 950.0)\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": 21,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Depths on Herschel-Stripe-82')"
      ]
     },
     "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",
    "    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": {
    "deletable": true,
    "editable": true
   },
   "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": 22,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Depths (5 $\\\\sigma$) vs coverage on Herschel-Stripe-82')"
      ]
     },
     "execution_count": 22,
     "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))"
   ]
  }
 ],
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