clean_hdr.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from astropy.io import fits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "hdul = fits.open('./test.original.fits')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "60409"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cards = hdul[1].header.cards\n",
    "len(cards)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "cleaned_cards = [a for a in cards if a.keyword != 'COMMENT']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "XTENSION= 'BINTABLE'           /Binary table written by MWRFITS v1.10           \n",
       "BITPIX  =                    8 /Required value                                  \n",
       "NAXIS   =                    2 /Required value                                  \n",
       "NAXIS1  =                   24 /Number of bytes per row                         \n",
       "NAXIS2  =                 2283 /Number of rows                                  \n",
       "PCOUNT  =                    0 /Normally 0 (no varying arrays)                  \n",
       "GCOUNT  =                    1 /Required value                                  \n",
       "TFIELDS =                    3 /Number of columns in table                      \n",
       "STARTIME=        57225.0025663 /                                                \n",
       "ENDTIME =        57296.2277080 /                                                \n",
       "TIME    = 'Time BJD-2400000.0' /                                                \n",
       "FLUX    = 'Normalised systematics corrected Flux' /                             \n",
       "FLUXERR = 'Error of the normalised systematics corrected Flux' /                \n",
       "TTYPE1  = 'TIME    '           /                                                \n",
       "TTYPE2  = 'FLUX    '           /                                                \n",
       "TTYPE3  = 'FLUXERROR'          /                                                \n",
       "TFORM1  = 'D       '           /                                                \n",
       "TFORM2  = 'D       '           /                                                \n",
       "TFORM3  = 'D       '           /                                                "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fits.Header(cards=cleaned_cards)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time elapsed:  2.167024850845337\n"
     ]
    }
   ],
   "source": [
    "start = time.time()\n",
    "hdul_to_clean = fits.open('./test.original.fits')\n",
    "cards = hdul_to_clean[1].header.cards\n",
    "cleaned_cards = [a for a in cards if a.keyword != 'COMMENT']\n",
    "hdul_to_clean[1].header = fits.Header(cards=cleaned_cards)\n",
    "hdul_to_clean.writeto('./test.output.fits', overwrite=True)\n",
    "print('time elapsed: ', time.time() - start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}