{
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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) [with local modifications]\n",
      "This notebook was executed on: \n",
      "2021-05-14 18:11:30.686360\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: master_catalogue_herschel-stripe-82_20210513.for_depths.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 = \"20210513\"\n",
    "\n",
    "master_catalogue_filename = \"master_catalogue_herschel-stripe-82_{}.for_depths.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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    "                     hp.pixelfunc.pix2ang(2**13, depths['hp_idx_O_13'], nest=True)[0],\n",
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       "<table id=\"table139756587497736-465704\" 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>0.6899060993495375</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>1.8354863031939121</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>0.6899060993495375</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>1.8354863031939121</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>0.6899060993495375</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>1.8354863031939121</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>0.6899060993495375</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>1.8354863031939121</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>0.6899060993495375</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>1.8354863031939121</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>0.6899060993495375</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>1.8354863031939121</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>0.6899060993495375</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>1.8354863031939121</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>0.6645622723001714</td><td>62.66849621834788</td><td>0.6927907101439661</td><td>58.20856305942263</td><td>0.8560707813589927</td><td>85.6105494030429</td><td>0.855274626965027</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>0.3029487384226517</td><td>24.417983014068007</td><td>0.5840196746388543</td><td>33.917534282980064</td><td>2.4829417748137974</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>0.20156775753348707</td><td>13.39240268894288</td><td>0.3448906802171824</td><td>19.647412299722284</td><td>0.5363267799670299</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>0.6645622723001714</td><td>62.66849621834788</td><td>0.6927907101439661</td><td>58.20856305942263</td><td>0.8560707813589927</td><td>85.6105494030429</td><td>0.855274626965027</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>0.3029487384226517</td><td>24.417983014068007</td><td>0.5840196746388543</td><td>33.917534282980064</td><td>2.4829417748137974</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>0.20156775753348707</td><td>13.39240268894288</td><td>0.3448906802171824</td><td>19.647412299722284</td><td>0.5363267799670299</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>0.6645622723001714</td><td>62.66849621834788</td><td>0.6927907101439661</td><td>58.20856305942263</td><td>0.8560707813589927</td><td>85.6105494030429</td><td>0.855274626965027</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>0.3029487384226517</td><td>24.417983014068007</td><td>0.5840196746388543</td><td>33.917534282980064</td><td>2.4829417748137974</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>0.20156775753348707</td><td>13.39240268894288</td><td>0.3448906802171824</td><td>19.647412299722284</td><td>0.5363267799670299</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(\"$('#table139756587497736-465704').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",
       "    $('#table139756587497736-465704').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: 6.579256556580009, 3sigma in AB mag (Aperture): 20.661754808351468\n",
      "vista_j: mean flux error: 3.376756173634971, 3sigma in AB mag (Aperture): 21.385947606835792\n",
      "wircam_ks: mean flux error: 6.320873335748259, 3sigma in AB mag (Aperture): 20.705254144277795\n",
      "vista_ks: mean flux error: 5.839456228085204, 3sigma in AB mag (Aperture): 20.79126584479365\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: 15356.511210331128, 3sigma in AB mag (Aperture): 12.241465460388014\n",
      "irac_i1: mean flux error: 1.7915446788133358, 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: 0.17702578670746488, 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: 11.042567228949004, 3sigma in AB mag (Total): 20.099521733215674\n",
      "vista_j: mean flux error: 8.163207504910748, 3sigma in AB mag (Total): 20.427544772695803\n",
      "wircam_ks: mean flux error: 9.520861315485952, 3sigma in AB mag (Total): 20.260506265442878\n",
      "vista_ks: mean flux error: 15.416387691950566, 3sigma in AB mag (Total): 19.73724030460037\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: 0.28731784091703877, 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": {
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    }
   ],
   "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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