notice

sherpa.astro.ui.notice(lo=None, hi=None, **kwargs) → None

Include data in the fit.

Select one or more ranges of data to include by filtering on the independent axis value. The filter is applied to all data sets.

Changed in version 4.15.0: The change in the filter is now reported for each dataset.

Changed in version 4.14.0: Integrated data sets - so Data1DInt and DataPHA when using energy or wavelengths - now ensure that the hi argument is exclusive and better handling of the lo argument when it matches a bin edge. This can result in the same filter selecting a smaller number of bins than in earlier versions of Sherpa.

Parameters:

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 include everything up to b (an exclusive limit for integrated datasets), and a: means include 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

notice_id: Include data for a data set.
sherpa.astro.ui.notice2d: Include a spatial region in an image.
ignore: Exclude data from the fit.
show_filter: Show any filters applied to a data set.

Notes

The order of ignore and notice calls is important, and the results are a union, rather than intersection, of the combination.

If notice is called on an un-filtered data set, then the ranges outside the noticed range are excluded: it can be thought of as if ignore had been used to remove all data points. If notice is called after a filter has been applied then the filter is applied to the existing data.

For binned data sets, the bin is included if the noticed range falls anywhere within the bin, but excluding the hi value (except for PHA data sets when using channel units).

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

To filter a 2D data set by a shape use notice2d.

The report of the change in the filter expression can be controlled with the SherpaVerbosity context manager, as shown in the examples below.

Examples

Since the notice call is applied to an un-filtered data set, the filter chooses only those points that lie within the range 12 <= X <= 18.

>>> load_arrays(1, [10, 15, 20, 30], [5, 10, 7, 13])
>>> notice(12, 28)
dataset 1: 10:30 -> 15:20 x
>>> get_dep(filter=True)
array([10,  7])

As no limits are given, the whole data set is included:

>>> notice()
dataset 1: 15:20 -> 10:30 x
>>> get_dep(filter=True)
array([ 5, 10,  7, 13])

The ignore call excludes the first two points, but the notice call adds back in the second point:

>>> ignore(hi=17)
dataset 1: 10:30 -> 20:30 x
>>> notice(12, 16)
dataset 1: 20:30 -> 15:30 x
>>> get_dep(filter=True)
array([10,  7, 13])

Only include data points in the range 8<=X<=12 and 18<=X=22:

>>> ignore()
dataset 1: 15:30 x -> no data
>>> notice("8:12, 18:22")
dataset 1: no data -> 10 x
dataset 1: 10 -> 10,20 x
>>> get_dep(filter=True)
array([5, 7])

The messages from notice and ignore use the standard Sherpa logging infrastructure, and so can be ignored by using SherpaVerbosity:

>>> from sherpa.utils.logging import SherpaVerbosity
>>> with SherpaVerbosity("WARN"):
...     notice()
...