getdata(a, subok=True)
Return the data of a
(if any) as an ndarray if a
is a MaskedArray
, else return a
as a ndarray or subclass (depending on :None:None:`subok`
) if not.
Input MaskedArray
, alternatively a ndarray or a subclass thereof.
Whether to force the output to be a :None:None:`pure`
ndarray (False) or to return a subclass of ndarray if appropriate (True, default).
Return the data of a masked array as an ndarray.
getmask
Return the mask of a masked array, or nomask.
getmaskarray
Return the mask of a masked array, or full array of False.
>>> import numpy.ma as maThis example is valid syntax, but we were not able to check execution
... a = ma.masked_equal([[1,2],[3,4]], 2)
... a masked_array( data=[[1, --], [3, 4]], mask=[[False, True], [False, False]], fill_value=2)
>>> ma.getdata(a) array([[1, 2], [3, 4]])
Equivalently use the MaskedArray
:None:None:`data`
attribute.
>>> a.data array([[1, 2], [3, 4]])See :
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.ma.core.getmaskarray
dask.array.ma.getdata
numpy.ma.core.getmask
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