save_error
- sherpa.astro.ui.save_error(id, filename=None, bkg_id: IdType | None = None, ascii=True, clobber=False) None
Save the errors to a file.
The total errors for a data set are the quadrature combination of the statistical and systematic errors. The systematic errors can be 0. If the statistical errors have not been set explicitly, then the values calculated by the statistic - such as
chi2gehrelsorchi2datavar- will be used.- 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
asciiargument.bkg_id (int, str, or None, optional) – Set if the background should be written out rather than the source.
ascii (bool, optional) – If
Falsethen 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
outfileis 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
filenamealready exists andclobberisFalse.
See also
get_errorReturn the errors on the dependent axis of a data set.
load_staterrorLoad the statistical errors from a file.
load_syserrorLoad the systematic errors from a file.
save_dataSave the data to a file.
save_staterrorSave the statistical errors to a file.
save_syserrorSave the systematic errors to a file.
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
filenameparameter. If given two un-named arguments, then they are interpreted as theidandfilenameparameters, respectively. The remaining parameters are expected to be given as named arguments.The output file contains the columns
XandERR.Examples
Write out the errors from the default data set to the file ‘errs.dat’.
>>> save_error('errs.dat')
Over-write the file it it already exists, and take the data from the data set “jet”:
>>> save_error('jet', 'err.out', clobber=True)
Write the data out in FITS format:
>>> save_error('err.fits', ascii=False)