set_filter¶

sherpa.ui.set_filter(id, val=None, ignore=False)¶

Set the filter array of a data set.

Parameters:	id (int or str, optional) – The data set to use. If not given then the default identifier is used, as returned by get_default_id. val (array) – The array of filter values (`0` or `1`). The size should match the array returned by get_dep. ignore (bool, optional) – If `False` (the default) then include bins with a non-zero filter value, otherwise exclude these bins.

See also

get_dep(): Return the dependent axis of a data set.
get_filter(): Return the filter expression for a data set.
ignore(): Exclude data from the fit.
load_filter(): Load the filter array from a file and add to a data set.
notice(): Include data in the fit.
save_filter(): Save the filter array 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 val parameter. If given two un-named arguments, then they are interpreted as the id and val parameters, respectively.

Examples

Ignore those bins with a value less 20.

>>> d = get_dep()
>>> f = d >= 20
>>> set_filter(f)