save_grouping
- sherpa.astro.ui.save_grouping(id, filename=None, bkg_id: IdType | None = None, ascii=True, clobber=False) None
Save the grouping scheme to a file.
The output is a two-column file, containing the channel and grouping columns from the data set.
- Parameters:
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
get_default_id
.filename (str) – The name of the file to write the array to. The format is determined by the
ascii
argument.bkg_id (int, str, or None, optional) – Set if the grouping array should be taken from the background associated with the data set.
ascii (bool, optional) – If
False
then the data is written as a FITS format binary table. The default isTrue
. The exact format of the output file depends on the I/O library in use (Crates or AstroPy).clobber (bool, optional) – If
outfile
is notNone
, then this flag controls whether an existing file can be overwritten (True
) or if it raises an exception (False
, the default setting).
- Raises:
sherpa.utils.err.IOErr – If
filename
already exists andclobber
isFalse
.
See also
get_grouping
Return the grouping array for a PHA data set.
load_quality
Load the quality array from a file and add to a PHA data set.
set_grouping
Apply a set of grouping flags to a PHA data set.
Notes
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
filename
parameter. If given two un-named arguments, then they are interpreted as theid
andfilename
parameters, respectively. The remaining parameters are expected to be given as named arguments.The column names are ‘CHANNEL’ and ‘GROUPS’.
Examples
Save the channel and grouping columns from the default data set to the file ‘group.dat’ as an ASCII file:
>>> save_grouping('group.dat')
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)