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