{
 "cells": [
  {
   "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",
      "2019-02-06 18:18:46.177728\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_20190205.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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    "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",
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       "<table id=\"table139912446283560-112331\" 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>1.8656364290878742</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>0.5814616016516413</td><td>14.497351554021874</td><td>2.3481376293320775</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>0.1886506803341955</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>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>1.8656364290878742</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>0.5814616016516413</td><td>14.497351554021874</td><td>2.3481376293320775</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>0.1886506803341955</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>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>1.8656364290878742</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>0.5814616016516413</td><td>14.497351554021874</td><td>2.3481376293320775</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>0.1886506803341955</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>1.8656364290878742</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>0.5814616016516413</td><td>14.497351554021874</td><td>2.3481376293320775</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>0.1886506803341955</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>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>1.8656364290878742</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>0.5814616016516413</td><td>14.497351554021874</td><td>2.3481376293320775</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>0.1886506803341955</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>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>1.8656364290878742</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>0.5814616016516413</td><td>14.497351554021874</td><td>2.3481376293320775</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>0.1886506803341955</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>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>1.8656364290878742</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>0.5814616016516413</td><td>14.497351554021874</td><td>2.3481376293320775</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>0.1886506803341955</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>283011005</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>0.7934468411941269</td><td>32.51852645796803</td><td>0.6645622723001712</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>1.6826964997925957</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>0.3029487384226517</td><td>24.417983014068007</td><td>0.5840196746388543</td><td>33.917534282980064</td><td>2.482941774813798</td><td>187.94481811249437</td><td>4.27544842177677</td><td>555.3792413666222</td><td>0.17900217758385814</td><td>13.583911170692968</td><td>0.22387179665019308</td><td>15.292729291704674</td><td>0.20156775753348702</td><td>13.39240268894288</td><td>0.34489068021718233</td><td>19.647412299722284</td><td>0.5363267799670298</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>283011000</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>0.7934468411941269</td><td>32.51852645796803</td><td>0.6645622723001712</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>1.6826964997925957</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>0.3029487384226517</td><td>24.417983014068007</td><td>0.5840196746388543</td><td>33.917534282980064</td><td>2.482941774813798</td><td>187.94481811249437</td><td>4.27544842177677</td><td>555.3792413666222</td><td>0.17900217758385814</td><td>13.583911170692968</td><td>0.22387179665019308</td><td>15.292729291704674</td><td>0.20156775753348702</td><td>13.39240268894288</td><td>0.34489068021718233</td><td>19.647412299722284</td><td>0.5363267799670298</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>283010969</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>0.7934468411941269</td><td>32.51852645796803</td><td>0.6645622723001712</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>1.6826964997925957</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>0.3029487384226517</td><td>24.417983014068007</td><td>0.5840196746388543</td><td>33.917534282980064</td><td>2.482941774813798</td><td>187.94481811249437</td><td>4.27544842177677</td><td>555.3792413666222</td><td>0.17900217758385814</td><td>13.583911170692968</td><td>0.22387179665019308</td><td>15.292729291704674</td><td>0.20156775753348702</td><td>13.39240268894288</td><td>0.34489068021718233</td><td>19.647412299722284</td><td>0.5363267799670298</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(\"$('#table139912446283560-112331').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",
       "    $('#table139912446283560-112331').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, 1.0, '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": {
      "needs_background": "light"
     },
     "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: 15356.511210331126, 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: 0.15196110923100642, 3sigma in AB mag (Aperture): 24.752865725698875\n",
      "decam_r: mean flux error: 0.17702578670746486, 3sigma in AB mag (Aperture): 24.587105530501724\n",
      "decam_z: mean flux error: 0.5487334531025341, 3sigma in AB mag (Aperture): 23.35879326964082\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: 8.004243582960473, 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: 0.2873178409170387, 3sigma in AB mag (Total): 24.061290377656626\n",
      "decam_r: mean flux error: 0.3164966859643082, 3sigma in AB mag (Total): 23.956273945997886\n",
      "decam_z: mean flux error: 1.3232407611019303, 3sigma in AB mag (Total): 22.403099687151787\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, 1.0, '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": {
      "needs_background": "light"
     },
     "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, 1.0, '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": {
      "needs_background": "light"
     },
     "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"
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