SDSS Quasars.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SDSS Quasar catalog example"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's explore a catalog of 100,000 quasars (supermassive black holes in the centers of galaxies) from the Sloan Digital Sky Survey (SDSS).  [Catalog documentation](http://das.sdss.org/va/qso_properties_dr7/dr7.htm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "import pandas\n",
    "from astropy.io import ascii, fits\n",
    "from astropy.table import Table\n",
    "from astropy.utils.data import download_file\n",
    "import seaborn as sns\n",
    "%pylab inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading http://das.sdss.org/va/qso_properties_dr7/data/catalogs/dr7_bh_June_2010.fits.gz [Done]\n"
     ]
    }
   ],
   "source": [
    "SDSS_QSO_file = \"http://das.sdss.org/va/qso_properties_dr7/data/catalogs/dr7_bh_June_2010.fits.gz\"\n",
    "tab = Table.read(SDSS_QSO_file) #using Astropy Tables as an intermediary in reading"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SDSS_NAME</th>\n",
       "      <th>RA</th>\n",
       "      <th>DEC</th>\n",
       "      <th>REDSHIFT</th>\n",
       "      <th>PLATE</th>\n",
       "      <th>FIBER</th>\n",
       "      <th>MJD</th>\n",
       "      <th>TARGET_FLAG_TARGET</th>\n",
       "      <th>NSPECOBS</th>\n",
       "      <th>UNIFORM_TARGET</th>\n",
       "      <th>MI_Z2</th>\n",
       "      <th>LOGLBOL</th>\n",
       "      <th>LOGLBOL_ERR</th>\n",
       "      <th>BAL_FLAG</th>\n",
       "      <th>FIRST_FR_TYPE</th>\n",
       "      <th>FINT_REST6CM_MJY_OBS</th>\n",
       "      <th>LOGFNU2500A_ERGS_OBS</th>\n",
       "      <th>R_6CM_2500A</th>\n",
       "      <th>LOGL5100</th>\n",
       "      <th>LOGL5100_ERR</th>\n",
       "      <th>LOGL3000</th>\n",
       "      <th>LOGL3000_ERR</th>\n",
       "      <th>LOGL1350</th>\n",
       "      <th>LOGL1350_ERR</th>\n",
       "      <th>LOGL_BROAD_HA</th>\n",
       "      <th>LOGL_BROAD_HA_ERR</th>\n",
       "      <th>FWHM_BROAD_HA</th>\n",
       "      <th>FWHM_BROAD_HA_ERR</th>\n",
       "      <th>EW_BROAD_HA</th>\n",
       "      <th>EW_BROAD_HA_ERR</th>\n",
       "      <th>LOGL_NARROW_HA</th>\n",
       "      <th>LOGL_NARROW_HA_ERR</th>\n",
       "      <th>FWHM_NARROW_HA</th>\n",
       "      <th>FWHM_NARROW_HA_ERR</th>\n",
       "      <th>EW_NARROW_HA</th>\n",
       "      <th>EW_NARROW_HA_ERR</th>\n",
       "      <th>LOGL_NII_6585</th>\n",
       "      <th>LOGL_NII_6585_ERR</th>\n",
       "      <th>EW_NII_6585</th>\n",
       "      <th>EW_NII_6585_ERR</th>\n",
       "      <th>LOGL_SII_6718</th>\n",
       "      <th>LOGL_SII_6718_ERR</th>\n",
       "      <th>EW_SII_6718</th>\n",
       "      <th>EW_SII_6718_ERR</th>\n",
       "      <th>LOGL_SII_6732</th>\n",
       "      <th>LOGL_SII_6732_ERR</th>\n",
       "      <th>EW_SII_6732</th>\n",
       "      <th>EW_SII_6732_ERR</th>\n",
       "      <th>EW_FE_HA</th>\n",
       "      <th>EW_FE_HA_ERR</th>\n",
       "      <th>ALPHA_HA</th>\n",
       "      <th>ALPHA_HA_ERR</th>\n",
       "      <th>LINE_NPIX_HA</th>\n",
       "      <th>LINE_MED_SN_HA</th>\n",
       "      <th>LINE_REDCHI2_HA</th>\n",
       "      <th>LOGL_BROAD_HB</th>\n",
       "      <th>LOGL_BROAD_HB_ERR</th>\n",
       "      <th>FWHM_BROAD_HB</th>\n",
       "      <th>FWHM_BROAD_HB_ERR</th>\n",
       "      <th>EW_BROAD_HB</th>\n",
       "      <th>EW_BROAD_HB_ERR</th>\n",
       "      <th>LOGL_NARROW_HB</th>\n",
       "      <th>LOGL_NARROW_HB_ERR</th>\n",
       "      <th>FWHM_NARROW_HB</th>\n",
       "      <th>FWHM_NARROW_HB_ERR</th>\n",
       "      <th>EW_NARROW_HB</th>\n",
       "      <th>EW_NARROW_HB_ERR</th>\n",
       "      <th>FWHM_BROAD_HB_1GAUSS</th>\n",
       "      <th>LOGL_OIII_4959</th>\n",
       "      <th>LOGL_OIII_4959_ERR</th>\n",
       "      <th>EW_OIII_4959</th>\n",
       "      <th>EW_OIII_4959_ERR</th>\n",
       "      <th>LOGL_OIII_5007</th>\n",
       "      <th>LOGL_OIII_5007_ERR</th>\n",
       "      <th>EW_OIII_5007</th>\n",
       "      <th>EW_OIII_5007_ERR</th>\n",
       "      <th>EW_FE_HB_4434_4684</th>\n",
       "      <th>EW_FE_HB_4434_4684_ERR</th>\n",
       "      <th>ALPHA_HB</th>\n",
       "      <th>ALPHA_HB_ERR</th>\n",
       "      <th>LINE_NPIX_HB</th>\n",
       "      <th>LINE_MED_SN_HB</th>\n",
       "      <th>LINE_REDCHI2_HB</th>\n",
       "      <th>LOGL_MGII</th>\n",
       "      <th>LOGL_MGII_ERR</th>\n",
       "      <th>FWHM_MGII</th>\n",
       "      <th>FWHM_MGII_ERR</th>\n",
       "      <th>EW_MGII</th>\n",
       "      <th>EW_MGII_ERR</th>\n",
       "      <th>LOGL_BROAD_MGII</th>\n",
       "      <th>LOGL_BROAD_MGII_ERR</th>\n",
       "      <th>FWHM_BROAD_MGII</th>\n",
       "      <th>FWHM_BROAD_MGII_ERR</th>\n",
       "      <th>EW_BROAD_MGII</th>\n",
       "      <th>EW_BROAD_MGII_ERR</th>\n",
       "      <th>FWHM_BROAD_MGII_1GAUSS</th>\n",
       "      <th>EW_FE_MGII</th>\n",
       "      <th>EW_FE_MGII_ERR</th>\n",
       "      <th>ALPHA_MGII</th>\n",
       "      <th>ALPHA_MGII_ERR</th>\n",
       "      <th>LINE_NPIX_MGII</th>\n",
       "      <th>LINE_MED_SN_MGII</th>\n",
       "      <th>LINE_REDCHI2_MGII</th>\n",
       "      <th>LOGL_CIV</th>\n",
       "      <th>LOGL_CIV_ERR</th>\n",
       "      <th>FWHM_CIV</th>\n",
       "      <th>FWHM_CIV_ERR</th>\n",
       "      <th>EW_CIV</th>\n",
       "      <th>EW_CIV_ERR</th>\n",
       "      <th>ALPHA_CIV</th>\n",
       "      <th>ALPHA_CIV_ERR</th>\n",
       "      <th>LINE_NPIX_CIV</th>\n",
       "      <th>LINE_MED_SN_CIV</th>\n",
       "      <th>LINE_REDCHI2_CIV</th>\n",
       "      <th>VOFF_BROAD_HA</th>\n",
       "      <th>VOFF_BROAD_HA_ERR</th>\n",
       "      <th>VOFF_NARROW_HA</th>\n",
       "      <th>VOFF_NARROW_HA_ERR</th>\n",
       "      <th>VOFF_BROAD_HB</th>\n",
       "      <th>VOFF_BROAD_HB_ERR</th>\n",
       "      <th>VOFF_NARROW_HB</th>\n",
       "      <th>VOFF_NARROW_HB_ERR</th>\n",
       "      <th>VOFF_BROAD_MGII</th>\n",
       "      <th>VOFF_BROAD_MGII_ERR</th>\n",
       "      <th>VOFF_CIV_PEAK</th>\n",
       "      <th>VOFF_CIV_PEAK_ERR</th>\n",
       "      <th>LOGBH_HB_MD04</th>\n",
       "      <th>LOGBH_HB_MD04_ERR</th>\n",
       "      <th>LOGBH_HB_VP06</th>\n",
       "      <th>LOGBH_HB_VP06_ERR</th>\n",
       "      <th>LOGBH_MGII_MD04</th>\n",
       "      <th>LOGBH_MGII_MD04_ERR</th>\n",
       "      <th>LOGBH_MGII_VO09</th>\n",
       "      <th>LOGBH_MGII_VO09_ERR</th>\n",
       "      <th>LOGBH_MGII_S10</th>\n",
       "      <th>LOGBH_MGII_S10_ERR</th>\n",
       "      <th>LOGBH_CIV_VP06</th>\n",
       "      <th>LOGBH_CIV_VP06_ERR</th>\n",
       "      <th>LOGBH</th>\n",
       "      <th>LOGBH_ERR</th>\n",
       "      <th>LOGEDD_RATIO</th>\n",
       "      <th>SPECIAL_INTEREST_FLAG</th>\n",
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       "      <td>-49.628040</td>\n",
       "      <td>428.381651</td>\n",
       "      <td>284.352792</td>\n",
       "      <td>80.284566</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>9.224574</td>\n",
       "      <td>0.068609</td>\n",
       "      <td>9.089737</td>\n",
       "      <td>0.200092</td>\n",
       "      <td>9.169480</td>\n",
       "      <td>0.172326</td>\n",
       "      <td>8.500652</td>\n",
       "      <td>0.067393</td>\n",
       "      <td>9.169480</td>\n",
       "      <td>0.172326</td>\n",
       "      <td>-0.893524</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            SDSS_NAME        RA       DEC  REDSHIFT  PLATE  FIBER    MJD  \\\n",
       "0  000006.53+003055.2  0.027228  0.515341    1.8246    685    467  52203   \n",
       "1  000008.13+001634.6  0.033900  0.276301    1.8373    685    470  52203   \n",
       "\n",
       "   TARGET_FLAG_TARGET  NSPECOBS  UNIFORM_TARGET      MI_Z2    LOGLBOL  \\\n",
       "0            34603008         1               0 -25.386491  46.035774   \n",
       "1             1048576         1               0 -26.104771  46.376326   \n",
       "\n",
       "   LOGLBOL_ERR  BAL_FLAG  FIRST_FR_TYPE  FINT_REST6CM_MJY_OBS  \\\n",
       "0     0.036962         0              0                   0.0   \n",
       "1     0.012669         0              0                   0.0   \n",
       "\n",
       "   LOGFNU2500A_ERGS_OBS  R_6CM_2500A  LOGL5100  LOGL5100_ERR   LOGL3000  \\\n",
       "0            -27.601836         -1.0       0.0          -1.0  45.323967   \n",
       "1            -27.349089         -1.0       0.0          -1.0  45.664519   \n",
       "\n",
       "   LOGL3000_ERR   LOGL1350  LOGL1350_ERR  LOGL_BROAD_HA  LOGL_BROAD_HA_ERR  \\\n",
       "0      0.036962  45.601562      0.029627            0.0               -1.0   \n",
       "1      0.012669  45.661184      0.024625            0.0               -1.0   \n",
       "\n",
       "   FWHM_BROAD_HA  FWHM_BROAD_HA_ERR  EW_BROAD_HA  EW_BROAD_HA_ERR  \\\n",
       "0            0.0               -1.0          0.0             -1.0   \n",
       "1            0.0               -1.0          0.0             -1.0   \n",
       "\n",
       "   LOGL_NARROW_HA  LOGL_NARROW_HA_ERR  FWHM_NARROW_HA  FWHM_NARROW_HA_ERR  \\\n",
       "0             0.0                -1.0             0.0                -1.0   \n",
       "1             0.0                -1.0             0.0                -1.0   \n",
       "\n",
       "   EW_NARROW_HA  EW_NARROW_HA_ERR  LOGL_NII_6585  LOGL_NII_6585_ERR  \\\n",
       "0           0.0              -1.0            0.0               -1.0   \n",
       "1           0.0              -1.0            0.0               -1.0   \n",
       "\n",
       "   EW_NII_6585  EW_NII_6585_ERR  LOGL_SII_6718  LOGL_SII_6718_ERR  \\\n",
       "0          0.0             -1.0            0.0               -1.0   \n",
       "1          0.0             -1.0            0.0               -1.0   \n",
       "\n",
       "   EW_SII_6718  EW_SII_6718_ERR  LOGL_SII_6732  LOGL_SII_6732_ERR  \\\n",
       "0          0.0             -1.0            0.0               -1.0   \n",
       "1          0.0             -1.0            0.0               -1.0   \n",
       "\n",
       "   EW_SII_6732  EW_SII_6732_ERR  EW_FE_HA  EW_FE_HA_ERR  ALPHA_HA  \\\n",
       "0          0.0             -1.0       0.0          -1.0    -999.0   \n",
       "1          0.0             -1.0       0.0          -1.0    -999.0   \n",
       "\n",
       "   ALPHA_HA_ERR  LINE_NPIX_HA  LINE_MED_SN_HA  LINE_REDCHI2_HA  LOGL_BROAD_HB  \\\n",
       "0          -1.0             0             0.0             -1.0            0.0   \n",
       "1          -1.0             0             0.0             -1.0            0.0   \n",
       "\n",
       "   LOGL_BROAD_HB_ERR  FWHM_BROAD_HB  FWHM_BROAD_HB_ERR  EW_BROAD_HB  \\\n",
       "0               -1.0            0.0               -1.0          0.0   \n",
       "1               -1.0            0.0               -1.0          0.0   \n",
       "\n",
       "   EW_BROAD_HB_ERR  LOGL_NARROW_HB  LOGL_NARROW_HB_ERR  FWHM_NARROW_HB  \\\n",
       "0             -1.0             0.0                -1.0             0.0   \n",
       "1             -1.0             0.0                -1.0             0.0   \n",
       "\n",
       "   FWHM_NARROW_HB_ERR  EW_NARROW_HB  EW_NARROW_HB_ERR  FWHM_BROAD_HB_1GAUSS  \\\n",
       "0                -1.0           0.0              -1.0                   0.0   \n",
       "1                -1.0           0.0              -1.0                   0.0   \n",
       "\n",
       "   LOGL_OIII_4959  LOGL_OIII_4959_ERR  EW_OIII_4959  EW_OIII_4959_ERR  \\\n",
       "0             0.0                -1.0           0.0              -1.0   \n",
       "1             0.0                -1.0           0.0              -1.0   \n",
       "\n",
       "   LOGL_OIII_5007  LOGL_OIII_5007_ERR  EW_OIII_5007  EW_OIII_5007_ERR  \\\n",
       "0             0.0                -1.0           0.0              -1.0   \n",
       "1             0.0                -1.0           0.0              -1.0   \n",
       "\n",
       "   EW_FE_HB_4434_4684  EW_FE_HB_4434_4684_ERR  ALPHA_HB  ALPHA_HB_ERR  \\\n",
       "0                 0.0                    -1.0    -999.0          -1.0   \n",
       "1                 0.0                    -1.0    -999.0          -1.0   \n",
       "\n",
       "   LINE_NPIX_HB  LINE_MED_SN_HB  LINE_REDCHI2_HB  LOGL_MGII  LOGL_MGII_ERR  \\\n",
       "0             0             0.0             -1.0  43.623726       0.065857   \n",
       "1             0             0.0             -1.0  43.850527       0.064163   \n",
       "\n",
       "     FWHM_MGII  FWHM_MGII_ERR    EW_MGII  EW_MGII_ERR  LOGL_BROAD_MGII  \\\n",
       "0  3954.809260    2410.850570  52.711408     7.691093        43.586836   \n",
       "1  4997.339878    1150.632174  43.603290     7.182757        43.844508   \n",
       "\n",
       "   LOGL_BROAD_MGII_ERR  FWHM_BROAD_MGII  FWHM_BROAD_MGII_ERR  EW_BROAD_MGII  \\\n",
       "0             0.059084      7273.248958          1605.919261      48.418843   \n",
       "1             0.070650      4997.339878           990.432504      43.003237   \n",
       "\n",
       "   EW_BROAD_MGII_ERR  FWHM_BROAD_MGII_1GAUSS  EW_FE_MGII  EW_FE_MGII_ERR  \\\n",
       "0           7.175982             7672.022480  175.053589       49.486535   \n",
       "1           7.518504             6977.679851   86.297289       17.621219   \n",
       "\n",
       "   ALPHA_MGII  ALPHA_MGII_ERR  LINE_NPIX_MGII  LINE_MED_SN_MGII  \\\n",
       "0   -1.822980        0.223362             310          3.551944   \n",
       "1   -0.782886        0.076702             311          6.019619   \n",
       "\n",
       "   LINE_REDCHI2_MGII   LOGL_CIV  LOGL_CIV_ERR     FWHM_CIV  FWHM_CIV_ERR  \\\n",
       "0           1.139660  44.139111      0.069328  7587.324219   1178.496826   \n",
       "1           1.152218  44.229293      0.051452  3020.732910    229.937866   \n",
       "\n",
       "      EW_CIV  EW_CIV_ERR  ALPHA_CIV  ALPHA_CIV_ERR  LINE_NPIX_CIV  \\\n",
       "0  57.704432   11.289974  -1.551489       0.521253            280   \n",
       "1  61.306315    7.474729  -1.450084       0.418789            269   \n",
       "\n",
       "   LINE_MED_SN_CIV  LINE_REDCHI2_CIV  VOFF_BROAD_HA  VOFF_BROAD_HA_ERR  \\\n",
       "0         5.022898          0.858506       300000.0               -1.0   \n",
       "1         5.305103          1.121318       300000.0               -1.0   \n",
       "\n",
       "   VOFF_NARROW_HA  VOFF_NARROW_HA_ERR  VOFF_BROAD_HB  VOFF_BROAD_HB_ERR  \\\n",
       "0        300000.0                -1.0       300000.0               -1.0   \n",
       "1        300000.0                -1.0       300000.0               -1.0   \n",
       "\n",
       "   VOFF_NARROW_HB  VOFF_NARROW_HB_ERR  VOFF_BROAD_MGII  VOFF_BROAD_MGII_ERR  \\\n",
       "0        300000.0                -1.0      -244.412281           695.623302   \n",
       "1        300000.0                -1.0       -49.628040           428.381651   \n",
       "\n",
       "   VOFF_CIV_PEAK  VOFF_CIV_PEAK_ERR  LOGBH_HB_MD04  LOGBH_HB_MD04_ERR  \\\n",
       "0     936.428829         240.337932            0.0               -1.0   \n",
       "1     284.352792          80.284566            0.0               -1.0   \n",
       "\n",
       "   LOGBH_HB_VP06  LOGBH_HB_VP06_ERR  LOGBH_MGII_MD04  LOGBH_MGII_MD04_ERR  \\\n",
       "0            0.0               -1.0         9.095829             0.107268   \n",
       "1            0.0               -1.0         9.224574             0.068609   \n",
       "\n",
       "   LOGBH_MGII_VO09  LOGBH_MGII_VO09_ERR  LOGBH_MGII_S10  LOGBH_MGII_S10_ERR  \\\n",
       "0         8.716234             0.529814        9.284316            0.193147   \n",
       "1         9.089737             0.200092        9.169480            0.172326   \n",
       "\n",
       "   LOGBH_CIV_VP06  LOGBH_CIV_VP06_ERR     LOGBH  LOGBH_ERR  LOGEDD_RATIO  \\\n",
       "0        9.269005            0.135824  9.284316   0.193147     -1.348913   \n",
       "1        8.500652            0.067393  9.169480   0.172326     -0.893524   \n",
       "\n",
       "   SPECIAL_INTEREST_FLAG  \n",
       "0                      0  \n",
       "1                      0  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pandas.set_option('display.max_columns', 500)  # print all columns in .head()\n",
    "df = tab.to_pandas() # \n",
    "df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RA</th>\n",
       "      <th>DEC</th>\n",
       "      <th>REDSHIFT</th>\n",
       "      <th>PLATE</th>\n",
       "      <th>FIBER</th>\n",
       "      <th>MJD</th>\n",
       "      <th>TARGET_FLAG_TARGET</th>\n",
       "      <th>NSPECOBS</th>\n",
       "      <th>UNIFORM_TARGET</th>\n",
       "      <th>MI_Z2</th>\n",
       "      <th>LOGLBOL</th>\n",
       "      <th>LOGLBOL_ERR</th>\n",
       "      <th>BAL_FLAG</th>\n",
       "      <th>FIRST_FR_TYPE</th>\n",
       "      <th>FINT_REST6CM_MJY_OBS</th>\n",
       "      <th>LOGFNU2500A_ERGS_OBS</th>\n",
       "      <th>R_6CM_2500A</th>\n",
       "      <th>LOGL5100</th>\n",
       "      <th>LOGL5100_ERR</th>\n",
       "      <th>LOGL3000</th>\n",
       "      <th>LOGL3000_ERR</th>\n",
       "      <th>LOGL1350</th>\n",
       "      <th>LOGL1350_ERR</th>\n",
       "      <th>LOGL_BROAD_HA</th>\n",
       "      <th>LOGL_BROAD_HA_ERR</th>\n",
       "      <th>FWHM_BROAD_HA</th>\n",
       "      <th>FWHM_BROAD_HA_ERR</th>\n",
       "      <th>EW_BROAD_HA</th>\n",
       "      <th>EW_BROAD_HA_ERR</th>\n",
       "      <th>LOGL_NARROW_HA</th>\n",
       "      <th>LOGL_NARROW_HA_ERR</th>\n",
       "      <th>FWHM_NARROW_HA</th>\n",
       "      <th>FWHM_NARROW_HA_ERR</th>\n",
       "      <th>EW_NARROW_HA</th>\n",
       "      <th>EW_NARROW_HA_ERR</th>\n",
       "      <th>LOGL_NII_6585</th>\n",
       "      <th>LOGL_NII_6585_ERR</th>\n",
       "      <th>EW_NII_6585</th>\n",
       "      <th>EW_NII_6585_ERR</th>\n",
       "      <th>LOGL_SII_6718</th>\n",
       "      <th>LOGL_SII_6718_ERR</th>\n",
       "      <th>EW_SII_6718</th>\n",
       "      <th>EW_SII_6718_ERR</th>\n",
       "      <th>LOGL_SII_6732</th>\n",
       "      <th>LOGL_SII_6732_ERR</th>\n",
       "      <th>EW_SII_6732</th>\n",
       "      <th>EW_SII_6732_ERR</th>\n",
       "      <th>EW_FE_HA</th>\n",
       "      <th>EW_FE_HA_ERR</th>\n",
       "      <th>ALPHA_HA</th>\n",
       "      <th>ALPHA_HA_ERR</th>\n",
       "      <th>LINE_NPIX_HA</th>\n",
       "      <th>LINE_MED_SN_HA</th>\n",
       "      <th>LINE_REDCHI2_HA</th>\n",
       "      <th>LOGL_BROAD_HB</th>\n",
       "      <th>LOGL_BROAD_HB_ERR</th>\n",
       "      <th>FWHM_BROAD_HB</th>\n",
       "      <th>FWHM_BROAD_HB_ERR</th>\n",
       "      <th>EW_BROAD_HB</th>\n",
       "      <th>EW_BROAD_HB_ERR</th>\n",
       "      <th>LOGL_NARROW_HB</th>\n",
       "      <th>LOGL_NARROW_HB_ERR</th>\n",
       "      <th>FWHM_NARROW_HB</th>\n",
       "      <th>FWHM_NARROW_HB_ERR</th>\n",
       "      <th>EW_NARROW_HB</th>\n",
       "      <th>EW_NARROW_HB_ERR</th>\n",
       "      <th>FWHM_BROAD_HB_1GAUSS</th>\n",
       "      <th>LOGL_OIII_4959</th>\n",
       "      <th>LOGL_OIII_4959_ERR</th>\n",
       "      <th>EW_OIII_4959</th>\n",
       "      <th>EW_OIII_4959_ERR</th>\n",
       "      <th>LOGL_OIII_5007</th>\n",
       "      <th>LOGL_OIII_5007_ERR</th>\n",
       "      <th>EW_OIII_5007</th>\n",
       "      <th>EW_OIII_5007_ERR</th>\n",
       "      <th>EW_FE_HB_4434_4684</th>\n",
       "      <th>EW_FE_HB_4434_4684_ERR</th>\n",
       "      <th>ALPHA_HB</th>\n",
       "      <th>ALPHA_HB_ERR</th>\n",
       "      <th>LINE_NPIX_HB</th>\n",
       "      <th>LINE_MED_SN_HB</th>\n",
       "      <th>LINE_REDCHI2_HB</th>\n",
       "      <th>LOGL_MGII</th>\n",
       "      <th>LOGL_MGII_ERR</th>\n",
       "      <th>FWHM_MGII</th>\n",
       "      <th>FWHM_MGII_ERR</th>\n",
       "      <th>EW_MGII</th>\n",
       "      <th>EW_MGII_ERR</th>\n",
       "      <th>LOGL_BROAD_MGII</th>\n",
       "      <th>LOGL_BROAD_MGII_ERR</th>\n",
       "      <th>FWHM_BROAD_MGII</th>\n",
       "      <th>FWHM_BROAD_MGII_ERR</th>\n",
       "      <th>EW_BROAD_MGII</th>\n",
       "      <th>EW_BROAD_MGII_ERR</th>\n",
       "      <th>FWHM_BROAD_MGII_1GAUSS</th>\n",
       "      <th>EW_FE_MGII</th>\n",
       "      <th>EW_FE_MGII_ERR</th>\n",
       "      <th>ALPHA_MGII</th>\n",
       "      <th>ALPHA_MGII_ERR</th>\n",
       "      <th>LINE_NPIX_MGII</th>\n",
       "      <th>LINE_MED_SN_MGII</th>\n",
       "      <th>LINE_REDCHI2_MGII</th>\n",
       "      <th>LOGL_CIV</th>\n",
       "      <th>LOGL_CIV_ERR</th>\n",
       "      <th>FWHM_CIV</th>\n",
       "      <th>FWHM_CIV_ERR</th>\n",
       "      <th>EW_CIV</th>\n",
       "      <th>EW_CIV_ERR</th>\n",
       "      <th>ALPHA_CIV</th>\n",
       "      <th>ALPHA_CIV_ERR</th>\n",
       "      <th>LINE_NPIX_CIV</th>\n",
       "      <th>LINE_MED_SN_CIV</th>\n",
       "      <th>LINE_REDCHI2_CIV</th>\n",
       "      <th>VOFF_BROAD_HA</th>\n",
       "      <th>VOFF_BROAD_HA_ERR</th>\n",
       "      <th>VOFF_NARROW_HA</th>\n",
       "      <th>VOFF_NARROW_HA_ERR</th>\n",
       "      <th>VOFF_BROAD_HB</th>\n",
       "      <th>VOFF_BROAD_HB_ERR</th>\n",
       "      <th>VOFF_NARROW_HB</th>\n",
       "      <th>VOFF_NARROW_HB_ERR</th>\n",
       "      <th>VOFF_BROAD_MGII</th>\n",
       "      <th>VOFF_BROAD_MGII_ERR</th>\n",
       "      <th>VOFF_CIV_PEAK</th>\n",
       "      <th>VOFF_CIV_PEAK_ERR</th>\n",
       "      <th>LOGBH_HB_MD04</th>\n",
       "      <th>LOGBH_HB_MD04_ERR</th>\n",
       "      <th>LOGBH_HB_VP06</th>\n",
       "      <th>LOGBH_HB_VP06_ERR</th>\n",
       "      <th>LOGBH_MGII_MD04</th>\n",
       "      <th>LOGBH_MGII_MD04_ERR</th>\n",
       "      <th>LOGBH_MGII_VO09</th>\n",
       "      <th>LOGBH_MGII_VO09_ERR</th>\n",
       "      <th>LOGBH_MGII_S10</th>\n",
       "      <th>LOGBH_MGII_S10_ERR</th>\n",
       "      <th>LOGBH_CIV_VP06</th>\n",
       "      <th>LOGBH_CIV_VP06_ERR</th>\n",
       "      <th>LOGBH</th>\n",
       "      <th>LOGBH_ERR</th>\n",
       "      <th>LOGEDD_RATIO</th>\n",
       "      <th>SPECIAL_INTEREST_FLAG</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SDSS_NAME</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>000006.53+003055.2</th>\n",
       "      <td>0.027228</td>\n",
       "      <td>0.515341</td>\n",
       "      <td>1.8246</td>\n",
       "      <td>685</td>\n",
       "      <td>467</td>\n",
       "      <td>52203</td>\n",
       "      <td>34603008</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>-25.386491</td>\n",
       "      <td>46.035774</td>\n",
       "      <td>0.036962</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-27.601836</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>45.323967</td>\n",
       "      <td>0.036962</td>\n",
       "      <td>45.601562</td>\n",
       "      <td>0.029627</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>43.623726</td>\n",
       "      <td>0.065857</td>\n",
       "      <td>3954.809260</td>\n",
       "      <td>2410.850570</td>\n",
       "      <td>52.711408</td>\n",
       "      <td>7.691093</td>\n",
       "      <td>43.586836</td>\n",
       "      <td>0.059084</td>\n",
       "      <td>7273.248958</td>\n",
       "      <td>1605.919261</td>\n",
       "      <td>48.418843</td>\n",
       "      <td>7.175982</td>\n",
       "      <td>7672.022480</td>\n",
       "      <td>175.053589</td>\n",
       "      <td>49.486535</td>\n",
       "      <td>-1.822980</td>\n",
       "      <td>0.223362</td>\n",
       "      <td>310</td>\n",
       "      <td>3.551944</td>\n",
       "      <td>1.139660</td>\n",
       "      <td>44.139111</td>\n",
       "      <td>0.069328</td>\n",
       "      <td>7587.324219</td>\n",
       "      <td>1178.496826</td>\n",
       "      <td>57.704432</td>\n",
       "      <td>11.289974</td>\n",
       "      <td>-1.551489</td>\n",
       "      <td>0.521253</td>\n",
       "      <td>280</td>\n",
       "      <td>5.022898</td>\n",
       "      <td>0.858506</td>\n",
       "      <td>300000.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>300000.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>300000.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>300000.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-244.412281</td>\n",
       "      <td>695.623302</td>\n",
       "      <td>936.428829</td>\n",
       "      <td>240.337932</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>9.095829</td>\n",
       "      <td>0.107268</td>\n",
       "      <td>8.716234</td>\n",
       "      <td>0.529814</td>\n",
       "      <td>9.284316</td>\n",
       "      <td>0.193147</td>\n",
       "      <td>9.269005</td>\n",
       "      <td>0.135824</td>\n",
       "      <td>9.284316</td>\n",
       "      <td>0.193147</td>\n",
       "      <td>-1.348913</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000008.13+001634.6</th>\n",
       "      <td>0.033900</td>\n",
       "      <td>0.276301</td>\n",
       "      <td>1.8373</td>\n",
       "      <td>685</td>\n",
       "      <td>470</td>\n",
       "      <td>52203</td>\n",
       "      <td>1048576</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>-26.104771</td>\n",
       "      <td>46.376326</td>\n",
       "      <td>0.012669</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-27.349089</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>45.664519</td>\n",
       "      <td>0.012669</td>\n",
       "      <td>45.661184</td>\n",
       "      <td>0.024625</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>43.850527</td>\n",
       "      <td>0.064163</td>\n",
       "      <td>4997.339878</td>\n",
       "      <td>1150.632174</td>\n",
       "      <td>43.603290</td>\n",
       "      <td>7.182757</td>\n",
       "      <td>43.844508</td>\n",
       "      <td>0.070650</td>\n",
       "      <td>4997.339878</td>\n",
       "      <td>990.432504</td>\n",
       "      <td>43.003237</td>\n",
       "      <td>7.518504</td>\n",
       "      <td>6977.679851</td>\n",
       "      <td>86.297289</td>\n",
       "      <td>17.621219</td>\n",
       "      <td>-0.782886</td>\n",
       "      <td>0.076702</td>\n",
       "      <td>311</td>\n",
       "      <td>6.019619</td>\n",
       "      <td>1.152218</td>\n",
       "      <td>44.229293</td>\n",
       "      <td>0.051452</td>\n",
       "      <td>3020.732910</td>\n",
       "      <td>229.937866</td>\n",
       "      <td>61.306315</td>\n",
       "      <td>7.474729</td>\n",
       "      <td>-1.450084</td>\n",
       "      <td>0.418789</td>\n",
       "      <td>269</td>\n",
       "      <td>5.305103</td>\n",
       "      <td>1.121318</td>\n",
       "      <td>300000.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>300000.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>300000.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>300000.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-49.628040</td>\n",
       "      <td>428.381651</td>\n",
       "      <td>284.352792</td>\n",
       "      <td>80.284566</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>9.224574</td>\n",
       "      <td>0.068609</td>\n",
       "      <td>9.089737</td>\n",
       "      <td>0.200092</td>\n",
       "      <td>9.169480</td>\n",
       "      <td>0.172326</td>\n",
       "      <td>8.500652</td>\n",
       "      <td>0.067393</td>\n",
       "      <td>9.169480</td>\n",
       "      <td>0.172326</td>\n",
       "      <td>-0.893524</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          RA       DEC  REDSHIFT  PLATE  FIBER    MJD  \\\n",
       "SDSS_NAME                                                               \n",
       "000006.53+003055.2  0.027228  0.515341    1.8246    685    467  52203   \n",
       "000008.13+001634.6  0.033900  0.276301    1.8373    685    470  52203   \n",
       "\n",
       "                    TARGET_FLAG_TARGET  NSPECOBS  UNIFORM_TARGET      MI_Z2  \\\n",
       "SDSS_NAME                                                                     \n",
       "000006.53+003055.2            34603008         1               0 -25.386491   \n",
       "000008.13+001634.6             1048576         1               0 -26.104771   \n",
       "\n",
       "                      LOGLBOL  LOGLBOL_ERR  BAL_FLAG  FIRST_FR_TYPE  \\\n",
       "SDSS_NAME                                                             \n",
       "000006.53+003055.2  46.035774     0.036962         0              0   \n",
       "000008.13+001634.6  46.376326     0.012669         0              0   \n",
       "\n",
       "                    FINT_REST6CM_MJY_OBS  LOGFNU2500A_ERGS_OBS  R_6CM_2500A  \\\n",
       "SDSS_NAME                                                                     \n",
       "000006.53+003055.2                   0.0            -27.601836         -1.0   \n",
       "000008.13+001634.6                   0.0            -27.349089         -1.0   \n",
       "\n",
       "                    LOGL5100  LOGL5100_ERR   LOGL3000  LOGL3000_ERR  \\\n",
       "SDSS_NAME                                                             \n",
       "000006.53+003055.2       0.0          -1.0  45.323967      0.036962   \n",
       "000008.13+001634.6       0.0          -1.0  45.664519      0.012669   \n",
       "\n",
       "                     LOGL1350  LOGL1350_ERR  LOGL_BROAD_HA  LOGL_BROAD_HA_ERR  \\\n",
       "SDSS_NAME                                                                       \n",
       "000006.53+003055.2  45.601562      0.029627            0.0               -1.0   \n",
       "000008.13+001634.6  45.661184      0.024625            0.0               -1.0   \n",
       "\n",
       "                    FWHM_BROAD_HA  FWHM_BROAD_HA_ERR  EW_BROAD_HA  \\\n",
       "SDSS_NAME                                                           \n",
       "000006.53+003055.2            0.0               -1.0          0.0   \n",
       "000008.13+001634.6            0.0               -1.0          0.0   \n",
       "\n",
       "                    EW_BROAD_HA_ERR  LOGL_NARROW_HA  LOGL_NARROW_HA_ERR  \\\n",
       "SDSS_NAME                                                                 \n",
       "000006.53+003055.2             -1.0             0.0                -1.0   \n",
       "000008.13+001634.6             -1.0             0.0                -1.0   \n",
       "\n",
       "                    FWHM_NARROW_HA  FWHM_NARROW_HA_ERR  EW_NARROW_HA  \\\n",
       "SDSS_NAME                                                              \n",
       "000006.53+003055.2             0.0                -1.0           0.0   \n",
       "000008.13+001634.6             0.0                -1.0           0.0   \n",
       "\n",
       "                    EW_NARROW_HA_ERR  LOGL_NII_6585  LOGL_NII_6585_ERR  \\\n",
       "SDSS_NAME                                                                \n",
       "000006.53+003055.2              -1.0            0.0               -1.0   \n",
       "000008.13+001634.6              -1.0            0.0               -1.0   \n",
       "\n",
       "                    EW_NII_6585  EW_NII_6585_ERR  LOGL_SII_6718  \\\n",
       "SDSS_NAME                                                         \n",
       "000006.53+003055.2          0.0             -1.0            0.0   \n",
       "000008.13+001634.6          0.0             -1.0            0.0   \n",
       "\n",
       "                    LOGL_SII_6718_ERR  EW_SII_6718  EW_SII_6718_ERR  \\\n",
       "SDSS_NAME                                                             \n",
       "000006.53+003055.2               -1.0          0.0             -1.0   \n",
       "000008.13+001634.6               -1.0          0.0             -1.0   \n",
       "\n",
       "                    LOGL_SII_6732  LOGL_SII_6732_ERR  EW_SII_6732  \\\n",
       "SDSS_NAME                                                           \n",
       "000006.53+003055.2            0.0               -1.0          0.0   \n",
       "000008.13+001634.6            0.0               -1.0          0.0   \n",
       "\n",
       "                    EW_SII_6732_ERR  EW_FE_HA  EW_FE_HA_ERR  ALPHA_HA  \\\n",
       "SDSS_NAME                                                               \n",
       "000006.53+003055.2             -1.0       0.0          -1.0    -999.0   \n",
       "000008.13+001634.6             -1.0       0.0          -1.0    -999.0   \n",
       "\n",
       "                    ALPHA_HA_ERR  LINE_NPIX_HA  LINE_MED_SN_HA  \\\n",
       "SDSS_NAME                                                        \n",
       "000006.53+003055.2          -1.0             0             0.0   \n",
       "000008.13+001634.6          -1.0             0             0.0   \n",
       "\n",
       "                    LINE_REDCHI2_HA  LOGL_BROAD_HB  LOGL_BROAD_HB_ERR  \\\n",
       "SDSS_NAME                                                               \n",
       "000006.53+003055.2             -1.0            0.0               -1.0   \n",
       "000008.13+001634.6             -1.0            0.0               -1.0   \n",
       "\n",
       "                    FWHM_BROAD_HB  FWHM_BROAD_HB_ERR  EW_BROAD_HB  \\\n",
       "SDSS_NAME                                                           \n",
       "000006.53+003055.2            0.0               -1.0          0.0   \n",
       "000008.13+001634.6            0.0               -1.0          0.0   \n",
       "\n",
       "                    EW_BROAD_HB_ERR  LOGL_NARROW_HB  LOGL_NARROW_HB_ERR  \\\n",
       "SDSS_NAME                                                                 \n",
       "000006.53+003055.2             -1.0             0.0                -1.0   \n",
       "000008.13+001634.6             -1.0             0.0                -1.0   \n",
       "\n",
       "                    FWHM_NARROW_HB  FWHM_NARROW_HB_ERR  EW_NARROW_HB  \\\n",
       "SDSS_NAME                                                              \n",
       "000006.53+003055.2             0.0                -1.0           0.0   \n",
       "000008.13+001634.6             0.0                -1.0           0.0   \n",
       "\n",
       "                    EW_NARROW_HB_ERR  FWHM_BROAD_HB_1GAUSS  LOGL_OIII_4959  \\\n",
       "SDSS_NAME                                                                    \n",
       "000006.53+003055.2              -1.0                   0.0             0.0   \n",
       "000008.13+001634.6              -1.0                   0.0             0.0   \n",
       "\n",
       "                    LOGL_OIII_4959_ERR  EW_OIII_4959  EW_OIII_4959_ERR  \\\n",
       "SDSS_NAME                                                                \n",
       "000006.53+003055.2                -1.0           0.0              -1.0   \n",
       "000008.13+001634.6                -1.0           0.0              -1.0   \n",
       "\n",
       "                    LOGL_OIII_5007  LOGL_OIII_5007_ERR  EW_OIII_5007  \\\n",
       "SDSS_NAME                                                              \n",
       "000006.53+003055.2             0.0                -1.0           0.0   \n",
       "000008.13+001634.6             0.0                -1.0           0.0   \n",
       "\n",
       "                    EW_OIII_5007_ERR  EW_FE_HB_4434_4684  \\\n",
       "SDSS_NAME                                                  \n",
       "000006.53+003055.2              -1.0                 0.0   \n",
       "000008.13+001634.6              -1.0                 0.0   \n",
       "\n",
       "                    EW_FE_HB_4434_4684_ERR  ALPHA_HB  ALPHA_HB_ERR  \\\n",
       "SDSS_NAME                                                            \n",
       "000006.53+003055.2                    -1.0    -999.0          -1.0   \n",
       "000008.13+001634.6                    -1.0    -999.0          -1.0   \n",
       "\n",
       "                    LINE_NPIX_HB  LINE_MED_SN_HB  LINE_REDCHI2_HB  LOGL_MGII  \\\n",
       "SDSS_NAME                                                                      \n",
       "000006.53+003055.2             0             0.0             -1.0  43.623726   \n",
       "000008.13+001634.6             0             0.0             -1.0  43.850527   \n",
       "\n",
       "                    LOGL_MGII_ERR    FWHM_MGII  FWHM_MGII_ERR    EW_MGII  \\\n",
       "SDSS_NAME                                                                  \n",
       "000006.53+003055.2       0.065857  3954.809260    2410.850570  52.711408   \n",
       "000008.13+001634.6       0.064163  4997.339878    1150.632174  43.603290   \n",
       "\n",
       "                    EW_MGII_ERR  LOGL_BROAD_MGII  LOGL_BROAD_MGII_ERR  \\\n",
       "SDSS_NAME                                                               \n",
       "000006.53+003055.2     7.691093        43.586836             0.059084   \n",
       "000008.13+001634.6     7.182757        43.844508             0.070650   \n",
       "\n",
       "                    FWHM_BROAD_MGII  FWHM_BROAD_MGII_ERR  EW_BROAD_MGII  \\\n",
       "SDSS_NAME                                                                 \n",
       "000006.53+003055.2      7273.248958          1605.919261      48.418843   \n",
       "000008.13+001634.6      4997.339878           990.432504      43.003237   \n",
       "\n",
       "                    EW_BROAD_MGII_ERR  FWHM_BROAD_MGII_1GAUSS  EW_FE_MGII  \\\n",
       "SDSS_NAME                                                                   \n",
       "000006.53+003055.2           7.175982             7672.022480  175.053589   \n",
       "000008.13+001634.6           7.518504             6977.679851   86.297289   \n",
       "\n",
       "                    EW_FE_MGII_ERR  ALPHA_MGII  ALPHA_MGII_ERR  \\\n",
       "SDSS_NAME                                                        \n",
       "000006.53+003055.2       49.486535   -1.822980        0.223362   \n",
       "000008.13+001634.6       17.621219   -0.782886        0.076702   \n",
       "\n",
       "                    LINE_NPIX_MGII  LINE_MED_SN_MGII  LINE_REDCHI2_MGII  \\\n",
       "SDSS_NAME                                                                 \n",
       "000006.53+003055.2             310          3.551944           1.139660   \n",
       "000008.13+001634.6             311          6.019619           1.152218   \n",
       "\n",
       "                     LOGL_CIV  LOGL_CIV_ERR     FWHM_CIV  FWHM_CIV_ERR  \\\n",
       "SDSS_NAME                                                                \n",
       "000006.53+003055.2  44.139111      0.069328  7587.324219   1178.496826   \n",
       "000008.13+001634.6  44.229293      0.051452  3020.732910    229.937866   \n",
       "\n",
       "                       EW_CIV  EW_CIV_ERR  ALPHA_CIV  ALPHA_CIV_ERR  \\\n",
       "SDSS_NAME                                                             \n",
       "000006.53+003055.2  57.704432   11.289974  -1.551489       0.521253   \n",
       "000008.13+001634.6  61.306315    7.474729  -1.450084       0.418789   \n",
       "\n",
       "                    LINE_NPIX_CIV  LINE_MED_SN_CIV  LINE_REDCHI2_CIV  \\\n",
       "SDSS_NAME                                                              \n",
       "000006.53+003055.2            280         5.022898          0.858506   \n",
       "000008.13+001634.6            269         5.305103          1.121318   \n",
       "\n",
       "                    VOFF_BROAD_HA  VOFF_BROAD_HA_ERR  VOFF_NARROW_HA  \\\n",
       "SDSS_NAME                                                              \n",
       "000006.53+003055.2       300000.0               -1.0        300000.0   \n",
       "000008.13+001634.6       300000.0               -1.0        300000.0   \n",
       "\n",
       "                    VOFF_NARROW_HA_ERR  VOFF_BROAD_HB  VOFF_BROAD_HB_ERR  \\\n",
       "SDSS_NAME                                                                  \n",
       "000006.53+003055.2                -1.0       300000.0               -1.0   \n",
       "000008.13+001634.6                -1.0       300000.0               -1.0   \n",
       "\n",
       "                    VOFF_NARROW_HB  VOFF_NARROW_HB_ERR  VOFF_BROAD_MGII  \\\n",
       "SDSS_NAME                                                                 \n",
       "000006.53+003055.2        300000.0                -1.0      -244.412281   \n",
       "000008.13+001634.6        300000.0                -1.0       -49.628040   \n",
       "\n",
       "                    VOFF_BROAD_MGII_ERR  VOFF_CIV_PEAK  VOFF_CIV_PEAK_ERR  \\\n",
       "SDSS_NAME                                                                   \n",
       "000006.53+003055.2           695.623302     936.428829         240.337932   \n",
       "000008.13+001634.6           428.381651     284.352792          80.284566   \n",
       "\n",
       "                    LOGBH_HB_MD04  LOGBH_HB_MD04_ERR  LOGBH_HB_VP06  \\\n",
       "SDSS_NAME                                                             \n",
       "000006.53+003055.2            0.0               -1.0            0.0   \n",
       "000008.13+001634.6            0.0               -1.0            0.0   \n",
       "\n",
       "                    LOGBH_HB_VP06_ERR  LOGBH_MGII_MD04  LOGBH_MGII_MD04_ERR  \\\n",
       "SDSS_NAME                                                                     \n",
       "000006.53+003055.2               -1.0         9.095829             0.107268   \n",
       "000008.13+001634.6               -1.0         9.224574             0.068609   \n",
       "\n",
       "                    LOGBH_MGII_VO09  LOGBH_MGII_VO09_ERR  LOGBH_MGII_S10  \\\n",
       "SDSS_NAME                                                                  \n",
       "000006.53+003055.2         8.716234             0.529814        9.284316   \n",
       "000008.13+001634.6         9.089737             0.200092        9.169480   \n",
       "\n",
       "                    LOGBH_MGII_S10_ERR  LOGBH_CIV_VP06  LOGBH_CIV_VP06_ERR  \\\n",
       "SDSS_NAME                                                                    \n",
       "000006.53+003055.2            0.193147        9.269005            0.135824   \n",
       "000008.13+001634.6            0.172326        8.500652            0.067393   \n",
       "\n",
       "                       LOGBH  LOGBH_ERR  LOGEDD_RATIO  SPECIAL_INTEREST_FLAG  \n",
       "SDSS_NAME                                                                     \n",
       "000006.53+003055.2  9.284316   0.193147     -1.348913                      0  \n",
       "000008.13+001634.6  9.169480   0.172326     -0.893524                      0  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Replace default index w scientifically-meaningful one\n",
    "df.set_index('SDSS_NAME', inplace=True)  \n",
    "df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(105783, 141)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape  # This is a big table: 1E5 QSOs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 0.   0.5  1.   1.5  2.   2.5  3.   3.5  4.   4.5  5. ]\n",
      "REDSHIFT\n",
      "(0, 0.5]   -1.062316\n",
      "(0.5, 1]   -0.903666\n",
      "(1, 1.5]   -0.798323\n",
      "(1.5, 2]   -0.714199\n",
      "(2, 2.5]   -0.607189\n",
      "(2.5, 3]   -0.531942\n",
      "(3, 3.5]   -0.523691\n",
      "(3.5, 4]   -0.515452\n",
      "(4, 4.5]   -0.557537\n",
      "(4.5, 5]   -0.889539\n",
      "Name: LOGEDD_RATIO, dtype: float64\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RA</th>\n",
       "      <th>DEC</th>\n",
       "      <th>REDSHIFT</th>\n",
       "      <th>PLATE</th>\n",
       "      <th>FIBER</th>\n",
       "      <th>MJD</th>\n",
       "      <th>TARGET_FLAG_TARGET</th>\n",
       "      <th>NSPECOBS</th>\n",
       "      <th>UNIFORM_TARGET</th>\n",
       "      <th>MI_Z2</th>\n",
       "      <th>LOGLBOL</th>\n",
       "      <th>LOGLBOL_ERR</th>\n",
       "      <th>BAL_FLAG</th>\n",
       "      <th>FIRST_FR_TYPE</th>\n",
       "      <th>FINT_REST6CM_MJY_OBS</th>\n",
       "      <th>LOGFNU2500A_ERGS_OBS</th>\n",
       "      <th>R_6CM_2500A</th>\n",
       "      <th>LOGL5100</th>\n",
       "      <th>LOGL5100_ERR</th>\n",
       "      <th>LOGL3000</th>\n",
       "      <th>LOGL3000_ERR</th>\n",
       "      <th>LOGL1350</th>\n",
       "      <th>LOGL1350_ERR</th>\n",
       "      <th>LOGL_BROAD_HA</th>\n",
       "      <th>LOGL_BROAD_HA_ERR</th>\n",
       "      <th>FWHM_BROAD_HA</th>\n",
       "      <th>FWHM_BROAD_HA_ERR</th>\n",
       "      <th>EW_BROAD_HA</th>\n",
       "      <th>EW_BROAD_HA_ERR</th>\n",
       "      <th>LOGL_NARROW_HA</th>\n",
       "      <th>LOGL_NARROW_HA_ERR</th>\n",
       "      <th>FWHM_NARROW_HA</th>\n",
       "      <th>FWHM_NARROW_HA_ERR</th>\n",
       "      <th>EW_NARROW_HA</th>\n",
       "      <th>EW_NARROW_HA_ERR</th>\n",
       "      <th>LOGL_NII_6585</th>\n",
       "      <th>LOGL_NII_6585_ERR</th>\n",
       "      <th>EW_NII_6585</th>\n",
       "      <th>EW_NII_6585_ERR</th>\n",
       "      <th>LOGL_SII_6718</th>\n",
       "      <th>LOGL_SII_6718_ERR</th>\n",
       "      <th>EW_SII_6718</th>\n",
       "      <th>EW_SII_6718_ERR</th>\n",
       "      <th>LOGL_SII_6732</th>\n",
       "      <th>LOGL_SII_6732_ERR</th>\n",
       "      <th>EW_SII_6732</th>\n",
       "      <th>EW_SII_6732_ERR</th>\n",
       "      <th>EW_FE_HA</th>\n",
       "      <th>EW_FE_HA_ERR</th>\n",
       "      <th>ALPHA_HA</th>\n",
       "      <th>ALPHA_HA_ERR</th>\n",
       "      <th>LINE_NPIX_HA</th>\n",
       "      <th>LINE_MED_SN_HA</th>\n",
       "      <th>LINE_REDCHI2_HA</th>\n",
       "      <th>LOGL_BROAD_HB</th>\n",
       "      <th>LOGL_BROAD_HB_ERR</th>\n",
       "      <th>FWHM_BROAD_HB</th>\n",
       "      <th>FWHM_BROAD_HB_ERR</th>\n",
       "      <th>EW_BROAD_HB</th>\n",
       "      <th>EW_BROAD_HB_ERR</th>\n",
       "      <th>LOGL_NARROW_HB</th>\n",
       "      <th>LOGL_NARROW_HB_ERR</th>\n",
       "      <th>FWHM_NARROW_HB</th>\n",
       "      <th>FWHM_NARROW_HB_ERR</th>\n",
       "      <th>EW_NARROW_HB</th>\n",
       "      <th>EW_NARROW_HB_ERR</th>\n",
       "      <th>FWHM_BROAD_HB_1GAUSS</th>\n",
       "      <th>LOGL_OIII_4959</th>\n",
       "      <th>LOGL_OIII_4959_ERR</th>\n",
       "      <th>EW_OIII_4959</th>\n",
       "      <th>EW_OIII_4959_ERR</th>\n",
       "      <th>LOGL_OIII_5007</th>\n",
       "      <th>LOGL_OIII_5007_ERR</th>\n",
       "      <th>EW_OIII_5007</th>\n",
       "      <th>EW_OIII_5007_ERR</th>\n",
       "      <th>EW_FE_HB_4434_4684</th>\n",
       "      <th>EW_FE_HB_4434_4684_ERR</th>\n",
       "      <th>ALPHA_HB</th>\n",
       "      <th>ALPHA_HB_ERR</th>\n",
       "      <th>LINE_NPIX_HB</th>\n",
       "      <th>LINE_MED_SN_HB</th>\n",
       "      <th>LINE_REDCHI2_HB</th>\n",
       "      <th>LOGL_MGII</th>\n",
       "      <th>LOGL_MGII_ERR</th>\n",
       "      <th>FWHM_MGII</th>\n",
       "      <th>FWHM_MGII_ERR</th>\n",
       "      <th>EW_MGII</th>\n",
       "      <th>EW_MGII_ERR</th>\n",
       "      <th>LOGL_BROAD_MGII</th>\n",
       "      <th>LOGL_BROAD_MGII_ERR</th>\n",
       "      <th>FWHM_BROAD_MGII</th>\n",
       "      <th>FWHM_BROAD_MGII_ERR</th>\n",
       "      <th>EW_BROAD_MGII</th>\n",
       "      <th>EW_BROAD_MGII_ERR</th>\n",
       "      <th>FWHM_BROAD_MGII_1GAUSS</th>\n",
       "      <th>EW_FE_MGII</th>\n",
       "      <th>EW_FE_MGII_ERR</th>\n",
       "      <th>ALPHA_MGII</th>\n",
       "      <th>ALPHA_MGII_ERR</th>\n",
       "      <th>LINE_NPIX_MGII</th>\n",
       "      <th>LINE_MED_SN_MGII</th>\n",
       "      <th>LINE_REDCHI2_MGII</th>\n",
       "      <th>LOGL_CIV</th>\n",
       "      <th>LOGL_CIV_ERR</th>\n",
       "      <th>FWHM_CIV</th>\n",
       "      <th>FWHM_CIV_ERR</th>\n",
       "      <th>EW_CIV</th>\n",
       "      <th>EW_CIV_ERR</th>\n",
       "      <th>ALPHA_CIV</th>\n",
       "      <th>ALPHA_CIV_ERR</th>\n",
       "      <th>LINE_NPIX_CIV</th>\n",
       "      <th>LINE_MED_SN_CIV</th>\n",
       "      <th>LINE_REDCHI2_CIV</th>\n",
       "      <th>VOFF_BROAD_HA</th>\n",
       "      <th>VOFF_BROAD_HA_ERR</th>\n",
       "      <th>VOFF_NARROW_HA</th>\n",
       "      <th>VOFF_NARROW_HA_ERR</th>\n",
       "      <th>VOFF_BROAD_HB</th>\n",
       "      <th>VOFF_BROAD_HB_ERR</th>\n",
       "      <th>VOFF_NARROW_HB</th>\n",
       "      <th>VOFF_NARROW_HB_ERR</th>\n",
       "      <th>VOFF_BROAD_MGII</th>\n",
       "      <th>VOFF_BROAD_MGII_ERR</th>\n",
       "      <th>VOFF_CIV_PEAK</th>\n",
       "      <th>VOFF_CIV_PEAK_ERR</th>\n",
       "      <th>LOGBH_HB_MD04</th>\n",
       "      <th>LOGBH_HB_MD04_ERR</th>\n",
       "      <th>LOGBH_HB_VP06</th>\n",
       "      <th>LOGBH_HB_VP06_ERR</th>\n",
       "      <th>LOGBH_MGII_MD04</th>\n",
       "      <th>LOGBH_MGII_MD04_ERR</th>\n",
       "      <th>LOGBH_MGII_VO09</th>\n",
       "      <th>LOGBH_MGII_VO09_ERR</th>\n",
       "      <th>LOGBH_MGII_S10</th>\n",
       "      <th>LOGBH_MGII_S10_ERR</th>\n",
       "      <th>LOGBH_CIV_VP06</th>\n",
       "      <th>LOGBH_CIV_VP06_ERR</th>\n",
       "      <th>LOGBH</th>\n",
       "      <th>LOGBH_ERR</th>\n",
       "      <th>LOGEDD_RATIO</th>\n",
       "      <th>SPECIAL_INTEREST_FLAG</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>REDSHIFT</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>(0, 0.5]</th>\n",
       "      <td>181.304123</td>\n",
       "      <td>24.626175</td>\n",
       "      <td>0.37110</td>\n",
       "      <td>1320.5</td>\n",
       "      <td>328.0</td>\n",
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       "      <td>-1.000000</td>\n",
       "      <td>42.506169</td>\n",
       "      <td>0.008163</td>\n",
       "      <td>1777.050677</td>\n",
       "      <td>71.264739</td>\n",
       "      <td>117.724866</td>\n",
       "      <td>5.710961</td>\n",
       "      <td>40.821359</td>\n",
       "      <td>0.042109</td>\n",
       "      <td>162.368796</td>\n",
       "      <td>25.208834</td>\n",
       "      <td>2.130545</td>\n",
       "      <td>1.23743</td>\n",
       "      <td>40.610052</td>\n",
       "      <td>0.042678</td>\n",
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       "      <td>-1.946476</td>\n",
       "      <td>0.055083</td>\n",
       "      <td>201.0</td>\n",
       "      <td>7.742428</td>\n",
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       "      <td>42.459496</td>\n",
       "      <td>0.039525</td>\n",
       "      <td>4051.529734</td>\n",
       "      <td>428.028842</td>\n",
       "      <td>61.665965</td>\n",
       "      <td>5.785022</td>\n",
       "      <td>41.009428</td>\n",
       "      <td>0.131766</td>\n",
       "      <td>388.501516</td>\n",
       "      <td>48.007209</td>\n",
       "      <td>2.062723</td>\n",
       "      <td>0.641719</td>\n",
       "      <td>4869.837123</td>\n",
       "      <td>41.408812</td>\n",
       "      <td>0.057437</td>\n",
       "      <td>5.093746</td>\n",
       "      <td>0.724113</td>\n",
       "      <td>41.906221</td>\n",
       "      <td>0.021362</td>\n",
       "      <td>15.982377</td>\n",
       "      <td>0.902080</td>\n",
       "      <td>31.452390</td>\n",
       "      <td>4.888612</td>\n",
       "      <td>-1.279041</td>\n",
       "      <td>0.056261</td>\n",
       "      <td>179.0</td>\n",
       "      <td>16.728991</td>\n",
       "      <td>1.148824</td>\n",
       "      <td>42.397324</td>\n",
       "      <td>0.021802</td>\n",
       "      <td>1880.116756</td>\n",
       "      <td>204.171097</td>\n",
       "      <td>23.563974</td>\n",
       "      <td>2.021036</td>\n",
       "      <td>42.323307</td>\n",
       "      <td>0.028462</td>\n",
       "      <td>2227.230681</td>\n",
       "      <td>331.539995</td>\n",
       "      <td>20.774835</td>\n",
       "      <td>2.518126</td>\n",
       "      <td>3617.033551</td>\n",
       "      <td>41.579752</td>\n",
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       "      <td>-2.296510</td>\n",
       "      <td>0.124925</td>\n",
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       "      <td>375.723251</td>\n",
       "      <td>22.488406</td>\n",
       "      <td>81.238396</td>\n",
       "      <td>11.707148</td>\n",
       "      <td>7.496288</td>\n",
       "      <td>179.942952</td>\n",
       "      <td>-28.879486</td>\n",
       "      <td>18.470683</td>\n",
       "      <td>835.480484</td>\n",
       "      <td>133.701920</td>\n",
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       "      <td>8.301901</td>\n",
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       "      <td>7.909046</td>\n",
       "      <td>0.026677</td>\n",
       "      <td>7.627271</td>\n",
       "      <td>0.052273</td>\n",
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       "      <td>8.343777</td>\n",
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       "      <td>-1.062316</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(0.5, 1]</th>\n",
       "      <td>179.196121</td>\n",
       "      <td>23.720739</td>\n",
       "      <td>0.76050</td>\n",
       "      <td>1315.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>52912.0</td>\n",
       "      <td>1048578.0</td>\n",
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       "      <td>1.0</td>\n",
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       "      <td>45.823571</td>\n",
       "      <td>0.007672</td>\n",
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       "      <td>-1.0</td>\n",
       "      <td>44.680848</td>\n",
       "      <td>0.015179</td>\n",
       "      <td>45.102732</td>\n",
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       "      <td>-1.000000</td>\n",
       "      <td>42.823209</td>\n",
       "      <td>0.061338</td>\n",
       "      <td>3382.316891</td>\n",
       "      <td>590.684672</td>\n",
       "      <td>58.454488</td>\n",
       "      <td>11.328853</td>\n",
       "      <td>41.227703</td>\n",
       "      <td>0.172110</td>\n",
       "      <td>341.949068</td>\n",
       "      <td>84.126310</td>\n",
       "      <td>1.351392</td>\n",
       "      <td>1.088329</td>\n",
       "      <td>4356.297511</td>\n",
       "      <td>41.471083</td>\n",
       "      <td>0.079901</td>\n",
       "      <td>2.631130</td>\n",
       "      <td>1.114506</td>\n",
       "      <td>41.959180</td>\n",
       "      <td>0.031206</td>\n",
       "      <td>8.336475</td>\n",
       "      <td>1.501404</td>\n",
       "      <td>34.657573</td>\n",
       "      <td>9.875300</td>\n",
       "      <td>-1.829926</td>\n",
       "      <td>0.125681</td>\n",
       "      <td>179.0</td>\n",
       "      <td>5.828065</td>\n",
       "      <td>1.220373</td>\n",
       "      <td>43.213661</td>\n",
       "      <td>0.023256</td>\n",
       "      <td>3572.564830</td>\n",
       "      <td>355.871947</td>\n",
       "      <td>34.706376</td>\n",
       "      <td>1.953871</td>\n",
       "      <td>43.191828</td>\n",
       "      <td>0.032027</td>\n",
       "      <td>4033.166383</td>\n",
       "      <td>490.429571</td>\n",
       "      <td>33.095929</td>\n",
       "      <td>2.492016</td>\n",
       "      <td>5112.169692</td>\n",
       "      <td>72.866057</td>\n",
       "      <td>12.293261</td>\n",
       "      <td>-1.412620</td>\n",
       "      <td>0.054001</td>\n",
       "      <td>310.0</td>\n",
       "      <td>11.147113</td>\n",
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       "      <td>-1.000000</td>\n",
       "      <td>-999.000000</td>\n",
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       "      <td>300000.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>127.386293</td>\n",
       "      <td>232.514264</td>\n",
       "      <td>13.220298</td>\n",
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       "      <td>240.964631</td>\n",
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       "      <td>8.431090</td>\n",
       "      <td>0.042219</td>\n",
       "      <td>8.364889</td>\n",
       "      <td>0.116502</td>\n",
       "      <td>8.624974</td>\n",
       "      <td>0.038499</td>\n",
       "      <td>8.524151</td>\n",
       "      <td>0.081970</td>\n",
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       "      <td>8.651073</td>\n",
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       "      <td>-0.903666</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(1, 1.5]</th>\n",
       "      <td>177.846054</td>\n",
       "      <td>22.804453</td>\n",
       "      <td>1.25430</td>\n",
       "      <td>1321.0</td>\n",
       "      <td>323.0</td>\n",
       "      <td>52933.0</td>\n",
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       "      <td>-25.743147</td>\n",
       "      <td>46.282915</td>\n",
       "      <td>0.005253</td>\n",
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       "      <td>-1.000000</td>\n",
       "      <td>45.571108</td>\n",
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       "      <td>43.656705</td>\n",
       "      <td>0.022206</td>\n",
       "      <td>3946.582498</td>\n",
       "      <td>386.958558</td>\n",
       "      <td>33.264936</td>\n",
       "      <td>1.804320</td>\n",
       "      <td>43.639734</td>\n",
       "      <td>0.029250</td>\n",
       "      <td>4312.094470</td>\n",
       "      <td>495.923902</td>\n",
       "      <td>31.943563</td>\n",
       "      <td>2.222731</td>\n",
       "      <td>5173.053674</td>\n",
       "      <td>84.131085</td>\n",
       "      <td>10.509641</td>\n",
       "      <td>-1.300814</td>\n",
       "      <td>0.038642</td>\n",
       "      <td>310.0</td>\n",
       "      <td>12.314713</td>\n",
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       "      <td>-1.000000</td>\n",
       "      <td>-999.000000</td>\n",
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       "      <td>300000.000000</td>\n",
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       "      <td>-164.933654</td>\n",
       "      <td>241.460187</td>\n",
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       "      <td>8.925241</td>\n",
       "      <td>0.035160</td>\n",
       "      <td>8.844463</td>\n",
       "      <td>0.082607</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>(1.5, 2]</th>\n",
       "      <td>176.774261</td>\n",
       "      <td>24.587552</td>\n",
       "      <td>1.73730</td>\n",
       "      <td>1301.0</td>\n",
       "      <td>321.0</td>\n",
       "      <td>52849.0</td>\n",
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       "      <td>45.800040</td>\n",
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       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-999.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>43.886525</td>\n",
       "      <td>0.033285</td>\n",
       "      <td>3870.920231</td>\n",
       "      <td>558.829973</td>\n",
       "      <td>33.238943</td>\n",
       "      <td>2.849443</td>\n",
       "      <td>43.865731</td>\n",
       "      <td>0.040392</td>\n",
       "      <td>4372.236600</td>\n",
       "      <td>695.303911</td>\n",
       "      <td>31.662924</td>\n",
       "      <td>3.173564</td>\n",
       "      <td>5620.331945</td>\n",
       "      <td>94.645748</td>\n",
       "      <td>15.391772</td>\n",
       "      <td>-1.346322</td>\n",
       "      <td>0.062200</td>\n",
       "      <td>310.0</td>\n",
       "      <td>9.018209</td>\n",
       "      <td>1.137520</td>\n",
       "      <td>44.332766</td>\n",
       "      <td>0.050116</td>\n",
       "      <td>4960.638672</td>\n",
       "      <td>677.827026</td>\n",
       "      <td>39.705041</td>\n",
       "      <td>5.603153</td>\n",
       "      <td>-1.254794</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>280.0</td>\n",
       "      <td>7.457922</td>\n",
       "      <td>1.042913</td>\n",
       "      <td>300000.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>300000.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>300000.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>300000.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-205.889649</td>\n",
       "      <td>325.385841</td>\n",
       "      <td>391.347922</td>\n",
       "      <td>213.767334</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>9.137108</td>\n",
       "      <td>0.050506</td>\n",
       "      <td>8.944458</td>\n",
       "      <td>0.117988</td>\n",
       "      <td>9.138361</td>\n",
       "      <td>0.132380</td>\n",
       "      <td>9.076634</td>\n",
       "      <td>0.115400</td>\n",
       "      <td>9.132272</td>\n",
       "      <td>0.122696</td>\n",
       "      <td>-0.714199</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(2, 2.5]</th>\n",
       "      <td>177.103104</td>\n",
       "      <td>23.801092</td>\n",
       "      <td>2.17315</td>\n",
       "      <td>1327.0</td>\n",
       "      <td>318.0</td>\n",
       "      <td>52937.0</td>\n",
       "      <td>1048578.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-27.006727</td>\n",
       "      <td>46.743207</td>\n",
       "      <td>0.014359</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-27.050213</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>45.701081</td>\n",
       "      <td>0.018134</td>\n",
       "      <td>46.162253</td>\n",
       "      <td>0.014357</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-999.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-999.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>43.919025</td>\n",
       "      <td>0.049704</td>\n",
       "      <td>2436.331695</td>\n",
       "      <td>554.995400</td>\n",
       "      <td>28.914521</td>\n",
       "      <td>4.893228</td>\n",
       "      <td>43.879934</td>\n",
       "      <td>0.056518</td>\n",
       "      <td>3388.116349</td>\n",
       "      <td>796.734137</td>\n",
       "      <td>26.805562</td>\n",
       "      <td>4.987807</td>\n",
       "      <td>4882.412280</td>\n",
       "      <td>81.775507</td>\n",
       "      <td>20.271370</td>\n",
       "      <td>-1.978585</td>\n",
       "      <td>0.116431</td>\n",
       "      <td>306.0</td>\n",
       "      <td>4.403185</td>\n",
       "      <td>1.091397</td>\n",
       "      <td>44.530509</td>\n",
       "      <td>0.039934</td>\n",
       "      <td>5281.254150</td>\n",
       "      <td>585.940430</td>\n",
       "      <td>37.410870</td>\n",
       "      <td>4.008891</td>\n",
       "      <td>-1.183041</td>\n",
       "      <td>0.256749</td>\n",
       "      <td>280.0</td>\n",
       "      <td>9.913068</td>\n",
       "      <td>1.046365</td>\n",
       "      <td>300000.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>300000.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>300000.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>300000.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>668.714014</td>\n",
       "      <td>348.215538</td>\n",
       "      <td>583.842846</td>\n",
       "      <td>187.263743</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>9.054340</td>\n",
       "      <td>0.062088</td>\n",
       "      <td>8.556641</td>\n",
       "      <td>0.121054</td>\n",
       "      <td>8.977084</td>\n",
       "      <td>0.141504</td>\n",
       "      <td>9.242415</td>\n",
       "      <td>0.094824</td>\n",
       "      <td>9.248900</td>\n",
       "      <td>0.096134</td>\n",
       "      <td>-0.607189</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  RA        DEC  REDSHIFT   PLATE  FIBER      MJD  \\\n",
       "REDSHIFT                                                            \n",
       "(0, 0.5]  181.304123  24.626175   0.37110  1320.5  328.0  52823.0   \n",
       "(0.5, 1]  179.196121  23.720739   0.76050  1315.0  322.0  52912.0   \n",
       "(1, 1.5]  177.846054  22.804453   1.25430  1321.0  323.0  52933.0   \n",
       "(1.5, 2]  176.774261  24.587552   1.73730  1301.0  321.0  52849.0   \n",
       "(2, 2.5]  177.103104  23.801092   2.17315  1327.0  318.0  52937.0   \n",
       "\n",
       "          TARGET_FLAG_TARGET  NSPECOBS  UNIFORM_TARGET      MI_Z2    LOGLBOL  \\\n",
       "REDSHIFT                                                                       \n",
       "(0, 0.5]                68.0       1.0             1.0 -23.216665  45.331273   \n",
       "(0.5, 1]           1048578.0       1.0             1.0 -24.631356  45.823571   \n",
       "(1, 1.5]           1048578.0       1.0             1.0 -25.743147  46.282915   \n",
       "(1.5, 2]           1048579.0       1.0             1.0 -26.371579  46.508827   \n",
       "(2, 2.5]           1048578.0       1.0             0.0 -27.006727  46.743207   \n",
       "\n",
       "          LOGLBOL_ERR  BAL_FLAG  FIRST_FR_TYPE  FINT_REST6CM_MJY_OBS  \\\n",
       "REDSHIFT                                                               \n",
       "(0, 0.5]     0.006075       0.0            0.0                   0.0   \n",
       "(0.5, 1]     0.007672       0.0            0.0                   0.0   \n",
       "(1, 1.5]     0.005253       0.0            0.0                   0.0   \n",
       "(1.5, 2]     0.010082       0.0            0.0                   0.0   \n",
       "(2, 2.5]     0.014359       0.0            0.0                   0.0   \n",
       "\n",
       "          LOGFNU2500A_ERGS_OBS  R_6CM_2500A   LOGL5100  LOGL5100_ERR  \\\n",
       "REDSHIFT                                                               \n",
       "(0, 0.5]            -27.122736         -1.0  44.364634      0.006065   \n",
       "(0.5, 1]            -27.100015         -1.0  44.680848      0.015179   \n",
       "(1, 1.5]            -27.095406         -1.0   0.000000     -1.000000   \n",
       "(1.5, 2]            -27.117994         -1.0   0.000000     -1.000000   \n",
       "(2, 2.5]            -27.050213         -1.0   0.000000     -1.000000   \n",
       "\n",
       "           LOGL3000  LOGL3000_ERR   LOGL1350  LOGL1350_ERR  LOGL_BROAD_HA  \\\n",
       "REDSHIFT                                                                    \n",
       "(0, 0.5]  44.236682      0.004982   0.000000     -1.000000      42.506169   \n",
       "(0.5, 1]  45.102732      0.005649   0.000000     -1.000000       0.000000   \n",
       "(1, 1.5]  45.571108      0.005253   0.000000     -1.000000       0.000000   \n",
       "(1.5, 2]  45.800040      0.009854  45.937295      0.024174       0.000000   \n",
       "(2, 2.5]  45.701081      0.018134  46.162253      0.014357       0.000000   \n",
       "\n",
       "          LOGL_BROAD_HA_ERR  FWHM_BROAD_HA  FWHM_BROAD_HA_ERR  EW_BROAD_HA  \\\n",
       "REDSHIFT                                                                     \n",
       "(0, 0.5]           0.008163    1777.050677          71.264739   117.724866   \n",
       "(0.5, 1]          -1.000000       0.000000          -1.000000     0.000000   \n",
       "(1, 1.5]          -1.000000       0.000000          -1.000000     0.000000   \n",
       "(1.5, 2]          -1.000000       0.000000          -1.000000     0.000000   \n",
       "(2, 2.5]          -1.000000       0.000000          -1.000000     0.000000   \n",
       "\n",
       "          EW_BROAD_HA_ERR  LOGL_NARROW_HA  LOGL_NARROW_HA_ERR  FWHM_NARROW_HA  \\\n",
       "REDSHIFT                                                                        \n",
       "(0, 0.5]         5.710961       40.821359            0.042109      162.368796   \n",
       "(0.5, 1]        -1.000000        0.000000           -1.000000        0.000000   \n",
       "(1, 1.5]        -1.000000        0.000000           -1.000000        0.000000   \n",
       "(1.5, 2]        -1.000000        0.000000           -1.000000        0.000000   \n",
       "(2, 2.5]        -1.000000        0.000000           -1.000000        0.000000   \n",
       "\n",
       "          FWHM_NARROW_HA_ERR  EW_NARROW_HA  EW_NARROW_HA_ERR  LOGL_NII_6585  \\\n",
       "REDSHIFT                                                                      \n",
       "(0, 0.5]           25.208834      2.130545           1.23743      40.610052   \n",
       "(0.5, 1]           -1.000000      0.000000          -1.00000       0.000000   \n",
       "(1, 1.5]           -1.000000      0.000000          -1.00000       0.000000   \n",
       "(1.5, 2]           -1.000000      0.000000          -1.00000       0.000000   \n",
       "(2, 2.5]           -1.000000      0.000000          -1.00000       0.000000   \n",
       "\n",
       "          LOGL_NII_6585_ERR  EW_NII_6585  EW_NII_6585_ERR  LOGL_SII_6718  \\\n",
       "REDSHIFT                                                                   \n",
       "(0, 0.5]           0.042678     1.247192         0.737351            0.0   \n",
       "(0.5, 1]          -1.000000     0.000000        -1.000000            0.0   \n",
       "(1, 1.5]          -1.000000     0.000000        -1.000000            0.0   \n",
       "(1.5, 2]          -1.000000     0.000000        -1.000000            0.0   \n",
       "(2, 2.5]          -1.000000     0.000000        -1.000000            0.0   \n",
       "\n",
       "          LOGL_SII_6718_ERR  EW_SII_6718  EW_SII_6718_ERR  LOGL_SII_6732  \\\n",
       "REDSHIFT                                                                   \n",
       "(0, 0.5]               -1.0          0.0             -1.0            0.0   \n",
       "(0.5, 1]               -1.0          0.0             -1.0            0.0   \n",
       "(1, 1.5]               -1.0          0.0             -1.0            0.0   \n",
       "(1.5, 2]               -1.0          0.0             -1.0            0.0   \n",
       "(2, 2.5]               -1.0          0.0             -1.0            0.0   \n",
       "\n",
       "          LOGL_SII_6732_ERR  EW_SII_6732  EW_SII_6732_ERR  EW_FE_HA  \\\n",
       "REDSHIFT                                                              \n",
       "(0, 0.5]               -1.0          0.0             -1.0       0.0   \n",
       "(0.5, 1]               -1.0          0.0             -1.0       0.0   \n",
       "(1, 1.5]               -1.0          0.0             -1.0       0.0   \n",
       "(1.5, 2]               -1.0          0.0             -1.0       0.0   \n",
       "(2, 2.5]               -1.0          0.0             -1.0       0.0   \n",
       "\n",
       "          EW_FE_HA_ERR    ALPHA_HA  ALPHA_HA_ERR  LINE_NPIX_HA  \\\n",
       "REDSHIFT                                                         \n",
       "(0, 0.5]          -1.0   -1.946476      0.055083         201.0   \n",
       "(0.5, 1]          -1.0 -999.000000     -1.000000           0.0   \n",
       "(1, 1.5]          -1.0 -999.000000     -1.000000           0.0   \n",
       "(1.5, 2]          -1.0 -999.000000     -1.000000           0.0   \n",
       "(2, 2.5]          -1.0 -999.000000     -1.000000           0.0   \n",
       "\n",
       "          LINE_MED_SN_HA  LINE_REDCHI2_HA  LOGL_BROAD_HB  LOGL_BROAD_HB_ERR  \\\n",
       "REDSHIFT                                                                      \n",
       "(0, 0.5]        7.742428         1.074397      42.459496           0.039525   \n",
       "(0.5, 1]        0.000000        -1.000000      42.823209           0.061338   \n",
       "(1, 1.5]        0.000000        -1.000000       0.000000          -1.000000   \n",
       "(1.5, 2]        0.000000        -1.000000       0.000000          -1.000000   \n",
       "(2, 2.5]        0.000000        -1.000000       0.000000          -1.000000   \n",
       "\n",
       "          FWHM_BROAD_HB  FWHM_BROAD_HB_ERR  EW_BROAD_HB  EW_BROAD_HB_ERR  \\\n",
       "REDSHIFT                                                                   \n",
       "(0, 0.5]    4051.529734         428.028842    61.665965         5.785022   \n",
       "(0.5, 1]    3382.316891         590.684672    58.454488        11.328853   \n",
       "(1, 1.5]       0.000000          -1.000000     0.000000        -1.000000   \n",
       "(1.5, 2]       0.000000          -1.000000     0.000000        -1.000000   \n",
       "(2, 2.5]       0.000000          -1.000000     0.000000        -1.000000   \n",
       "\n",
       "          LOGL_NARROW_HB  LOGL_NARROW_HB_ERR  FWHM_NARROW_HB  \\\n",
       "REDSHIFT                                                       \n",
       "(0, 0.5]       41.009428            0.131766      388.501516   \n",
       "(0.5, 1]       41.227703            0.172110      341.949068   \n",
       "(1, 1.5]        0.000000           -1.000000        0.000000   \n",
       "(1.5, 2]        0.000000           -1.000000        0.000000   \n",
       "(2, 2.5]        0.000000           -1.000000        0.000000   \n",
       "\n",
       "          FWHM_NARROW_HB_ERR  EW_NARROW_HB  EW_NARROW_HB_ERR  \\\n",
       "REDSHIFT                                                       \n",
       "(0, 0.5]           48.007209      2.062723          0.641719   \n",
       "(0.5, 1]           84.126310      1.351392          1.088329   \n",
       "(1, 1.5]           -1.000000      0.000000         -1.000000   \n",
       "(1.5, 2]           -1.000000      0.000000         -1.000000   \n",
       "(2, 2.5]           -1.000000      0.000000         -1.000000   \n",
       "\n",
       "          FWHM_BROAD_HB_1GAUSS  LOGL_OIII_4959  LOGL_OIII_4959_ERR  \\\n",
       "REDSHIFT                                                             \n",
       "(0, 0.5]           4869.837123       41.408812            0.057437   \n",
       "(0.5, 1]           4356.297511       41.471083            0.079901   \n",
       "(1, 1.5]              0.000000        0.000000           -1.000000   \n",
       "(1.5, 2]              0.000000        0.000000           -1.000000   \n",
       "(2, 2.5]              0.000000        0.000000           -1.000000   \n",
       "\n",
       "          EW_OIII_4959  EW_OIII_4959_ERR  LOGL_OIII_5007  LOGL_OIII_5007_ERR  \\\n",
       "REDSHIFT                                                                       \n",
       "(0, 0.5]      5.093746          0.724113       41.906221            0.021362   \n",
       "(0.5, 1]      2.631130          1.114506       41.959180            0.031206   \n",
       "(1, 1.5]      0.000000         -1.000000        0.000000           -1.000000   \n",
       "(1.5, 2]      0.000000         -1.000000        0.000000           -1.000000   \n",
       "(2, 2.5]      0.000000         -1.000000        0.000000           -1.000000   \n",
       "\n",
       "          EW_OIII_5007  EW_OIII_5007_ERR  EW_FE_HB_4434_4684  \\\n",
       "REDSHIFT                                                       \n",
       "(0, 0.5]     15.982377          0.902080           31.452390   \n",
       "(0.5, 1]      8.336475          1.501404           34.657573   \n",
       "(1, 1.5]      0.000000         -1.000000            0.000000   \n",
       "(1.5, 2]      0.000000         -1.000000            0.000000   \n",
       "(2, 2.5]      0.000000         -1.000000            0.000000   \n",
       "\n",
       "          EW_FE_HB_4434_4684_ERR    ALPHA_HB  ALPHA_HB_ERR  LINE_NPIX_HB  \\\n",
       "REDSHIFT                                                                   \n",
       "(0, 0.5]                4.888612   -1.279041      0.056261         179.0   \n",
       "(0.5, 1]                9.875300   -1.829926      0.125681         179.0   \n",
       "(1, 1.5]               -1.000000 -999.000000     -1.000000           0.0   \n",
       "(1.5, 2]               -1.000000 -999.000000     -1.000000           0.0   \n",
       "(2, 2.5]               -1.000000 -999.000000     -1.000000           0.0   \n",
       "\n",
       "          LINE_MED_SN_HB  LINE_REDCHI2_HB  LOGL_MGII  LOGL_MGII_ERR  \\\n",
       "REDSHIFT                                                              \n",
       "(0, 0.5]       16.728991         1.148824  42.397324       0.021802   \n",
       "(0.5, 1]        5.828065         1.220373  43.213661       0.023256   \n",
       "(1, 1.5]        0.000000        -1.000000  43.656705       0.022206   \n",
       "(1.5, 2]        0.000000        -1.000000  43.886525       0.033285   \n",
       "(2, 2.5]        0.000000        -1.000000  43.919025       0.049704   \n",
       "\n",
       "            FWHM_MGII  FWHM_MGII_ERR    EW_MGII  EW_MGII_ERR  LOGL_BROAD_MGII  \\\n",
       "REDSHIFT                                                                        \n",
       "(0, 0.5]  1880.116756     204.171097  23.563974     2.021036        42.323307   \n",
       "(0.5, 1]  3572.564830     355.871947  34.706376     1.953871        43.191828   \n",
       "(1, 1.5]  3946.582498     386.958558  33.264936     1.804320        43.639734   \n",
       "(1.5, 2]  3870.920231     558.829973  33.238943     2.849443        43.865731   \n",
       "(2, 2.5]  2436.331695     554.995400  28.914521     4.893228        43.879934   \n",
       "\n",
       "          LOGL_BROAD_MGII_ERR  FWHM_BROAD_MGII  FWHM_BROAD_MGII_ERR  \\\n",
       "REDSHIFT                                                              \n",
       "(0, 0.5]             0.028462      2227.230681           331.539995   \n",
       "(0.5, 1]             0.032027      4033.166383           490.429571   \n",
       "(1, 1.5]             0.029250      4312.094470           495.923902   \n",
       "(1.5, 2]             0.040392      4372.236600           695.303911   \n",
       "(2, 2.5]             0.056518      3388.116349           796.734137   \n",
       "\n",
       "          EW_BROAD_MGII  EW_BROAD_MGII_ERR  FWHM_BROAD_MGII_1GAUSS  \\\n",
       "REDSHIFT                                                             \n",
       "(0, 0.5]      20.774835           2.518126             3617.033551   \n",
       "(0.5, 1]      33.095929           2.492016             5112.169692   \n",
       "(1, 1.5]      31.943563           2.222731             5173.053674   \n",
       "(1.5, 2]      31.662924           3.173564             5620.331945   \n",
       "(2, 2.5]      26.805562           4.987807             4882.412280   \n",
       "\n",
       "          EW_FE_MGII  EW_FE_MGII_ERR  ALPHA_MGII  ALPHA_MGII_ERR  \\\n",
       "REDSHIFT                                                           \n",
       "(0, 0.5]   41.579752       11.793337   -2.296510        0.124925   \n",
       "(0.5, 1]   72.866057       12.293261   -1.412620        0.054001   \n",
       "(1, 1.5]   84.131085       10.509641   -1.300814        0.038642   \n",
       "(1.5, 2]   94.645748       15.391772   -1.346322        0.062200   \n",
       "(2, 2.5]   81.775507       20.271370   -1.978585        0.116431   \n",
       "\n",
       "          LINE_NPIX_MGII  LINE_MED_SN_MGII  LINE_REDCHI2_MGII   LOGL_CIV  \\\n",
       "REDSHIFT                                                                   \n",
       "(0, 0.5]           186.0          5.267724           0.848083   0.000000   \n",
       "(0.5, 1]           310.0         11.147113           0.951145   0.000000   \n",
       "(1, 1.5]           310.0         12.314713           0.980915   0.000000   \n",
       "(1.5, 2]           310.0          9.018209           1.137520  44.332766   \n",
       "(2, 2.5]           306.0          4.403185           1.091397  44.530509   \n",
       "\n",
       "          LOGL_CIV_ERR     FWHM_CIV  FWHM_CIV_ERR     EW_CIV  EW_CIV_ERR  \\\n",
       "REDSHIFT                                                                   \n",
       "(0, 0.5]     -1.000000     0.000000     -1.000000   0.000000   -1.000000   \n",
       "(0.5, 1]     -1.000000     0.000000     -1.000000   0.000000   -1.000000   \n",
       "(1, 1.5]     -1.000000     0.000000     -1.000000   0.000000   -1.000000   \n",
       "(1.5, 2]      0.050116  4960.638672    677.827026  39.705041    5.603153   \n",
       "(2, 2.5]      0.039934  5281.254150    585.940430  37.410870    4.008891   \n",
       "\n",
       "           ALPHA_CIV  ALPHA_CIV_ERR  LINE_NPIX_CIV  LINE_MED_SN_CIV  \\\n",
       "REDSHIFT                                                              \n",
       "(0, 0.5] -999.000000      -1.000000            0.0         0.000000   \n",
       "(0.5, 1] -999.000000      -1.000000            0.0         0.000000   \n",
       "(1, 1.5] -999.000000      -1.000000            0.0         0.000000   \n",
       "(1.5, 2]   -1.254794       0.300000          280.0         7.457922   \n",
       "(2, 2.5]   -1.183041       0.256749          280.0         9.913068   \n",
       "\n",
       "          LINE_REDCHI2_CIV  VOFF_BROAD_HA  VOFF_BROAD_HA_ERR  VOFF_NARROW_HA  \\\n",
       "REDSHIFT                                                                       \n",
       "(0, 0.5]         -1.000000     375.723251          22.488406       81.238396   \n",
       "(0.5, 1]         -1.000000  300000.000000          -1.000000   300000.000000   \n",
       "(1, 1.5]         -1.000000  300000.000000          -1.000000   300000.000000   \n",
       "(1.5, 2]          1.042913  300000.000000          -1.000000   300000.000000   \n",
       "(2, 2.5]          1.046365  300000.000000          -1.000000   300000.000000   \n",
       "\n",
       "          VOFF_NARROW_HA_ERR  VOFF_BROAD_HB  VOFF_BROAD_HB_ERR  \\\n",
       "REDSHIFT                                                         \n",
       "(0, 0.5]           11.707148       7.496288         179.942952   \n",
       "(0.5, 1]           -1.000000     127.386293         232.514264   \n",
       "(1, 1.5]           -1.000000  300000.000000          -1.000000   \n",
       "(1.5, 2]           -1.000000  300000.000000          -1.000000   \n",
       "(2, 2.5]           -1.000000  300000.000000          -1.000000   \n",
       "\n",
       "          VOFF_NARROW_HB  VOFF_NARROW_HB_ERR  VOFF_BROAD_MGII  \\\n",
       "REDSHIFT                                                        \n",
       "(0, 0.5]      -28.879486           18.470683       835.480484   \n",
       "(0.5, 1]       13.220298           47.609939       -53.711515   \n",
       "(1, 1.5]   300000.000000           -1.000000      -164.933654   \n",
       "(1.5, 2]   300000.000000           -1.000000      -205.889649   \n",
       "(2, 2.5]   300000.000000           -1.000000       668.714014   \n",
       "\n",
       "          VOFF_BROAD_MGII_ERR  VOFF_CIV_PEAK  VOFF_CIV_PEAK_ERR  \\\n",
       "REDSHIFT                                                          \n",
       "(0, 0.5]           133.701920  300000.000000          -1.000000   \n",
       "(0.5, 1]           240.964631  300000.000000          -1.000000   \n",
       "(1, 1.5]           241.460187  300000.000000          -1.000000   \n",
       "(1.5, 2]           325.385841     391.347922         213.767334   \n",
       "(2, 2.5]           348.215538     583.842846         187.263743   \n",
       "\n",
       "          LOGBH_HB_MD04  LOGBH_HB_MD04_ERR  LOGBH_HB_VP06  LOGBH_HB_VP06_ERR  \\\n",
       "REDSHIFT                                                                       \n",
       "(0, 0.5]       8.301901           0.025343       8.340033           0.087876   \n",
       "(0.5, 1]       8.431090           0.042219       8.364889           0.116502   \n",
       "(1, 1.5]       0.000000          -1.000000       0.000000          -1.000000   \n",
       "(1.5, 2]       0.000000          -1.000000       0.000000          -1.000000   \n",
       "(2, 2.5]       0.000000          -1.000000       0.000000          -1.000000   \n",
       "\n",
       "          LOGBH_MGII_MD04  LOGBH_MGII_MD04_ERR  LOGBH_MGII_VO09  \\\n",
       "REDSHIFT                                                          \n",
       "(0, 0.5]         7.909046             0.026677         7.627271   \n",
       "(0.5, 1]         8.624974             0.038499         8.524151   \n",
       "(1, 1.5]         8.925241             0.035160         8.844463   \n",
       "(1.5, 2]         9.137108             0.050506         8.944458   \n",
       "(2, 2.5]         9.054340             0.062088         8.556641   \n",
       "\n",
       "          LOGBH_MGII_VO09_ERR  LOGBH_MGII_S10  LOGBH_MGII_S10_ERR  \\\n",
       "REDSHIFT                                                            \n",
       "(0, 0.5]             0.052273        7.762026            0.070480   \n",
       "(0.5, 1]             0.081970        8.631783            0.103504   \n",
       "(1, 1.5]             0.082607        8.987418            0.097924   \n",
       "(1.5, 2]             0.117988        9.138361            0.132380   \n",
       "(2, 2.5]             0.121054        8.977084            0.141504   \n",
       "\n",
       "          LOGBH_CIV_VP06  LOGBH_CIV_VP06_ERR     LOGBH  LOGBH_ERR  \\\n",
       "REDSHIFT                                                            \n",
       "(0, 0.5]        0.000000           -1.000000  8.343777   0.088450   \n",
       "(0.5, 1]        0.000000           -1.000000  8.651073   0.109671   \n",
       "(1, 1.5]        0.000000           -1.000000  8.987418   0.097924   \n",
       "(1.5, 2]        9.076634            0.115400  9.132272   0.122696   \n",
       "(2, 2.5]        9.242415            0.094824  9.248900   0.096134   \n",
       "\n",
       "          LOGEDD_RATIO  SPECIAL_INTEREST_FLAG  \n",
       "REDSHIFT                                       \n",
       "(0, 0.5]     -1.062316                    0.0  \n",
       "(0.5, 1]     -0.903666                    0.0  \n",
       "(1, 1.5]     -0.798323                    0.0  \n",
       "(1.5, 2]     -0.714199                    0.0  \n",
       "(2, 2.5]     -0.607189                    0.0  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's bin by redshift and calculate median quantities\n",
    "zbins = np.arange(0.0, 5.5, 0.5)\n",
    "print zbins\n",
    "df_medians = df.groupby(pandas.cut(df['REDSHIFT'], zbins)).median()\n",
    "print df_medians['LOGEDD_RATIO']\n",
    "df_medians.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x121554510>"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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5JY0W5CTSE01va/Shhdtt+3PQpvB9TCZ1xHhYY/iWhkp/YTWNTADp6VR8n0um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\ntVPpJWcYwIS8dOcqA4JzboyANgpZJo1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KpPwZg/r169n7ELd/fyxPMfeOlZmz33O1PaRf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RrjNRkRYsyZTjk+Hp7Wjct4rY0LQWQ1ldo0YYW8a3fDmyFJ7I5U7c4fSSes61j4OD5jweRj4Hmt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\nF6O8x8A7i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      "text/plain": [
       "<matplotlib.figure.Figure at 0x121cce390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# More luminous quasars have weaker lines (\"Baldwin effect\")\n",
    "#g = sns.jointplot(x='LOGL1350', y='EW_CIV', data=df, kind='scatter', xlim=(44,48), ylim=(10,1000))\n",
    "g = sns.JointGrid(df['LOGL1350'], df['EW_CIV'], size=6)\n",
    "g.ax_marg_x.hist(df['LOGL1350'], bins=np.arange(44, 48, 0.5))\n",
    "g.ax_marg_y.hist(df['EW_CIV'], bins=np.arange(0, 300, 50), orientation=\"horizontal\")\n",
    "g.plot_joint(plt.hexbin, gridsize=80, extent=[44, 48, 0, 300], cmap=\"Blues\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LOGL1350\n",
      "(44, 44.5]    2025.611145\n",
      "(44.5, 45]    3990.984375\n",
      "(45, 45.5]    4380.489990\n",
      "(45.5, 46]    4673.169189\n",
      "(46, 46.5]    5201.053223\n",
      "(46.5, 47]    5878.919189\n",
      "(47, 47.5]    6516.774170\n",
      "Name: FWHM_CIV, dtype: float64\n"
     ]
    },
    {
     "data": {
      "image/png": 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Ffk9/AJ09tZqlCyYzY8pY2lsHDzuGeiPxObNYjGBVielQqRBOYydJ4i2OBaaJ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1203e1490>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# More luminous quasars have broader lines\n",
    "# Let's bin by redshift and calculate median quantities\n",
    "Lbins = np.arange(44.0, 48, 0.5)\n",
    "df_medians = df.groupby(pandas.cut(df['LOGL1350'], Lbins)).median()\n",
    "print df_medians['FWHM_CIV']\n",
    "df_medians.head()\n",
    "g = sns.jointplot(x='LOGL1350', y='FWHM_CIV', data=df, kind='scatter', xlim=(44,48), ylim=(1000,4E4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x136f61090>"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Yqou563Au3H1lXNc6bOJ51bhjPIbSXoWb6G/CzOOBROEUsEu6iWdfGXX5t417Dpzbxh3+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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11ba60750>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hexbin(df['LOGL1350'], df['FWHM_CIV'], gridsize=80, extent=[44, 48, 0, 3E4], cmap='Blues')\n",
    "plt.scatter(df_medians['LOGL1350'], df_medians['FWHM_CIV'], color='red')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SDSS_NAME\n",
       "092524.56+421729.6    1.218033\n",
       "091044.90+261253.6    0.928180\n",
       "112813.80+594213.4    0.899957\n",
       "134722.83+465428.5    0.880831\n",
       "103633.54+282821.0    0.852807\n",
       "083920.53+352459.3    0.829610\n",
       "094035.92+231750.8    0.823982\n",
       "154109.57+184127.5    0.817728\n",
       "124847.30+492008.2    0.814331\n",
       "111523.24+082918.4    0.769279\n",
       "002618.67+140946.6    0.762618\n",
       "092436.70+664803.3    0.757261\n",
       "163750.36+322313.8    0.756304\n",
       "150631.75+113149.6    0.751186\n",
       "121146.93+122419.0    0.747063\n",
       "142623.36-002113.9    0.741206\n",
       "113729.42+375224.2    0.739771\n",
       "030449.85-000813.4    0.737017\n",
       "142046.88+100206.3    0.735395\n",
       "101152.70+245350.6    0.730380\n",
       "Name: LOGEDD_RATIO, dtype: float64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['LOGEDD_RATIO'].nlargest(20) # Super-Eddington accretion? (Logeddratio >0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Exercise:**  Explore this dataset.  What trends can you find? Which are physically real, and which are selection effects (that only the most luminous quasars are detectable at higher redshift?)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}