Package: ysfitsutilpy
ysfitsutilpyConvenience utilities made by ysBach especially for dealing FITS files in astronomical sciences.Please always refer toGitHub repofor the most recent updates.Why "ys"fitsutilpy? The name "fitsutilpy" is too general, and I believe a better package should take that name, so I decided not to occupy the name. I see many useless packages that preoccupy meaningful names...Install by$ pip install ysfitsutilpyor$ cd <where you want to download this package>
$ git clone https://github.com/ysBach/ysfitsutilpy
$ cd ysfitsutilpy
$ git pull && pip install -e .From the second time,just run the last line.This package is made to be used forPreprocessing (= bias, dark, and flat) of imaging data (not tested for spectroscopy yet)Simple analysis of FITS files by making summary csv file, getting statistics (misc.give_stats), etc.Educational purpose...Although I tried to make some functions as general as possible, this package as a whole isnotdesigned for very general use, e.g., MEF (multi-extension FITS) and radio data, for instance. MEF is somewhat treatable in current version, but not satisfactorily yet.You may import usingimport ysfitsutilpy as yfu.An example usage to make a summary file of FITS files:importysfitsutilpyasyfusummary=yfu.make_summary("observation_2018-01-01/R*.fits",keywords=["DATE-OBS","FILTER","OBJECT"],# header keywords; actually it is case-insensitivefname_option='name',# 'file' column will contain only the name of the file (not full path)sort_by="DATE-OBS",# 'file' column will be sorted based on "DATE-OBS" value in the headeroutput="summary_2018-01-01.csv",)summary# shows results of the summary CSV file.A simple example to combine multiple images:importysfitsutilpyasyfucomb=yfu.imcombine("observation_2018-01-01/R*M101*.fits",combine="med",# med, median | avg, mean, average | sumreject="sc",# sc, sigc, sigclip, ... | ccd, ccdc, ccdclipsigma=[2,2],# default is [3., 3.]offset="wcs",# combine by integer shift based on WCS information in headersoutput="combined.fits",output_err="comb_err.fits",# errormap of survived pixelsoutput_mask="comb_mask.fits",# N+1-dimensional mask of the rejected pixel positionsoutput_nrej="comb_nrej.fits",# number of pixels rejected in the output file.output_low="comb_low.fits",# the lower limit used in pixel value rejectionoutput_upp="comb_upp.fits",# the upper limit used in pixel value rejectionoutput_rejcode="comb_rejcode.fits",# represents what rejection has happened (see docstring)full=True,verbose=True)A quick dark combine:importysfitsutilpyasyfu# Say dark frames have header OBJECT = "calib" && "IMAGE-TYP" = "DARK"comb=yfu.group_combine("observation_2018-01-01/*DARK*.fits",type_key=["OBJECT","IMAGE-TYP"],type_val=["calib","DARK"],group_key=["FILTER","EXPTIME"],fmt="dark_{:s}_{:.1f}sec.fits",# output file name formatoutdir="cal-dark"# output directory (will automatically be made if not exist))BSD 3-Clause LicenseCopyright (c) 2020, Yoonsoo P. Bach
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