- sherpa.astro.ui.save_grouping(id, filename=None, bkg_id=None, ascii=True, clobber=False)
Save the grouping scheme to a file.
The output is a two-column file, containing the channel and grouping columns from the data set.
id (int or str, optional) – The identifier for the data set to use. If not given then the default identifier is used, as returned by
filename (str) – The name of the file to write the array to. The format is determined by the
bkg_id (int or str, optional) – Set if the grouping array should be taken from the background associated with the data set.
ascii (bool, optional) – If
Falsethen the data is written as a FITS format binary table. The default is
True. The exact format of the output file depends on the I/O library in use (Crates or AstroPy).
clobber (bool, optional) – If
None, then this flag controls whether an existing file can be overwritten (
True) or if it raises an exception (
False, the default setting).
sherpa.utils.err.IOErr – If
filenamealready exists and
Return the gouping array for a PHA data set.
Load the quality array from a file and add to a PHA data set.
Apply a set of grouping flags to a PHA data set.
The function does not follow the normal Python standards for parameter use, since it is designed for easy interactive use. When called with a single un-named argument, it is taken to be the
filenameparameter. If given two un-named arguments, then they are interpreted as the
filenameparameters, respectively. The remaining parameters are expected to be given as named arguments.
The column names are ‘CHANNEL’ and ‘GROUPS’.
Save the channel and grouping columns from the default data set to the file ‘group.dat’ as an ASCII file:
Over-write the ‘grp.fits’ file, if it exists, and write out the grouping data from the ‘jet’ data set, as a FITS format file:
>>> save_grouping('jet', 'grp.fits', ascii=False, clobber=True)