Filter¶
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class
sherpa.data.
Filter
[source] [edit on github]¶ Bases:
object
A class for representing filters of N-Dimentional datasets.
Attributes Summary
mask
Mask array for dependent variable Methods Summary
apply
(array)Apply this filter to an array notice
(mins, maxes, axislist[, ignore])Attributes Documentation
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mask
¶ Mask array for dependent variable
Returns: mask Return type: bool or numpy.ndarray
Methods Documentation
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apply
(array)[source] [edit on github]¶ Apply this filter to an array
Parameters: array (array_like) – Array to be filtered Returns: array_like Return type: filtered array
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notice
(mins, maxes, axislist, ignore=False)[source] [edit on github]¶
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