ignore_id

sherpa.ui.ignore_id(ids, lo=None, hi=None, **kwargs)

Exclude data from the fit for a data set.

Select one or more ranges of data to exclude by filtering on the independent axis value. The filter is applied to the given data set, or sets.

Parameters:

• ids (int or str, or array of int or str) – The data set, or sets, to use.
• lo (number or str, optional) – The lower bound of the filter (when a number) or a string expression listing ranges in the form a:b, with multiple ranges allowed, where the ranges are separated by a ,. The term :b means exclude everything up to, and including b, and a: means exclude everything that is higher than, or equal to, a.
• hi (number, optional) – The upper bound of the filter when lo is not a string.
• bkg_id (int or str, optional) – The filter will be applied to the associated background component of the data set if bkg_id is set. Only PHA data sets support this option; if not given, then the filter is applied to all background components as well as the source data.

See also

ignore()

Exclude data from the fit.

sherpa.astro.ui.ignore2d()

Exclude a spatial region from an image.

notice_id()

Include data from the fit for a data set.

show_filter()

Show any filters applied to a data set.

Notes

The order of ignore and notice calls is important.

The units used depend on the analysis setting of the data set, if appropriate.

To filter a 2D data set by a shape use ignore2d.

Examples

Ignore all data points with an X value (the independent axis) between 12 and 18 for data set 1:

>>> ignore_id(1, 12, 18)

Ignore the range up to 0.5 and 7 and above, for data sets 1, 2, and 3:

>>> ignore_id([1,2,3], None, 0.5)
>>> ignore_id([1,2,3], 7, None)

Apply the same filter as the previous example, but to data sets “core” and “jet”:

>>> ignore_id(["core","jet"], ":0.5,7:")