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author | Aaron LI <aaronly.me@outlook.com> | 2016-10-11 12:29:51 +0800 |
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committer | Aaron LI <aaronly.me@outlook.com> | 2016-10-11 12:29:51 +0800 |
commit | 344807f49ac8be76517178af877a6a6f6d58a4aa (patch) | |
tree | 6badb9fbc3ae73d49d1b6ebd49e02037532b2d0b /fg21sim/utils/healpix.py | |
parent | a8ed62510538b02dd415e484cf9019d9a2549839 (diff) | |
download | fg21sim-344807f49ac8be76517178af877a6a6f6d58a4aa.tar.bz2 |
utils: Update documentations, also fix styles
Diffstat (limited to 'fg21sim/utils/healpix.py')
-rw-r--r-- | fg21sim/utils/healpix.py | 72 |
1 files changed, 40 insertions, 32 deletions
diff --git a/fg21sim/utils/healpix.py b/fg21sim/utils/healpix.py index 23562f7..ea3c45b 100644 --- a/fg21sim/utils/healpix.py +++ b/fg21sim/utils/healpix.py @@ -12,7 +12,8 @@ # http://www.atnf.csiro.au/people/mcalabre/WCS/ """ -HEALPix utilities: +HEALPix utilities +----------------- healpix2hpx: reorganize the HEALPix data (1D array as FITS table) into 2D FITS image @@ -43,20 +44,24 @@ def healpix2hpx(data, header=None, append_history=None, append_comment=None): Parameters ---------- - data : str or BinTableHDU or 1D array - (1) filename of the HEALPix file; - (2) BinTableHDU containing the HEALPix data and header - (3) 1D array containing the HEALPix data - header : astropy.io.fits header - header of the HEALPix FITS file; - append_history : string list - append the provided history to the output FITS header - append_comment : string list - append the provided comment to the output FITS header + data : str, `~astropy.io.fits.BinTableHDU`, or 1D `~numpy.ndarray` + The input HEALPix map to be converted to the HPX image. + (1) filename of the HEALPix file; + (2) BinTableHDU containing the HEALPix data and header + (3) 1D array containing the HEALPix data + header : `~astropy.io.fits.Header`, optional + Header of the HEALPix FITS file + append_history : list[str] + Append the provided history to the output FITS header + append_comment : list[str] + Append the provided comment to the output FITS header Returns ------- - (hpx_data, hpx_header) : (2D numpy array, astropy.io.fits header) + hpx_data : 2D `~numpy.ndarray` + The reorganized HPX image + hpx_header : `~astropy.io.fits.Header` + FITS header for the HPX image """ if isinstance(data, str) or isinstance(data, fits.BinTableHDU): hp_data, hp_header = read_fits_healpix(data) @@ -91,20 +96,24 @@ def hpx2healpix(data, header=None, append_history=None, append_comment=None): Parameters ---------- - data : str or PrimaryHDU or 2D array - (1) filename of the HPX file; - (2) PrimaryHDU containing the HPX image and header - (3) 2D array containing the HPX image - header : astropy.io.fits header - header of the HPX FITS file; - append_history : string list - append the provided history to the output FITS header - append_comment : string list - append the provided comment to the output FITS header + data : str, `~astropy.io.fits.PrimaryHDU`, or 2D `~numpy.ndarray` + The input HPX image to be converted to the HEALPix data. + (1) filename of the HPX file; + (2) PrimaryHDU containing the HPX image and header + (3) 2D array containing the HPX image + header : `~astropy.io.fits.Header`, optional + Header of the HPX FITS image + append_history : list[str] + Append the provided history to the output FITS header + append_comment : list[str] + Append the provided comment to the output FITS header Returns ------- - (hp_data, hp_header) : (1D numpy array, astropy.io.fits header) + hp_data : 1D `~numpy.ndarray` + HEALPix data reorganized from the input HPX image + hp_header : `~astropy.io.fits.Header` + FITS header for the HEALPix data """ if isinstance(data, str): hpx_hdu = fits.open(data)[0] @@ -148,14 +157,15 @@ def _calc_hpx_indices(nside): Parameters ---------- nside : int - Nside of the input/output HEALPix data + Nside of the input/output HEALPix data Returns ------- - indices : 2D numpy array (int) - same size as the input/output HPX FITS image, with elements tracking - the indices of the HPX pixel in the HEALPix 1D array, and elements - with value "-1" indicating a null/empty HPX pixel. + indices : 2D integer `~numpy.ndarray` + 2D integer array of same size as the input/output HPX FITS image, + with elements tracking the indices of the HPX pixels in the + HEALPix 1D array, while elements with value "-1" indicating + null/empty HPX pixels. NOTE ---- @@ -269,8 +279,7 @@ def _calc_hpx_row_idx(nside, facet, jmap): def _make_hpx_header(header, append_history=None, append_comment=None): - """Make the FITS header for the HPX image. - """ + """Make the FITS header for the HPX image.""" header = header.copy(strip=True) nside = header["NSIDE"] # set pixel transformation parameters @@ -325,8 +334,7 @@ def _make_hpx_header(header, append_history=None, append_comment=None): def _make_healpix_header(header, nside, append_history=None, append_comment=None): - """Make the FITS header for the HEALPix data. - """ + """Make the FITS header for the HEALPix data.""" header = header.copy(strip=True) # set HEALPix parameters header["PIXTYPE"] = ("HEALPIX", "HEALPix pixelization") |