getmaskarray(arr)
Return the mask of :None:None:`arr` as an ndarray if :None:None:`arr` is a MaskedArray
and the mask is not :None:None:`nomask`, else return a full boolean array of False of the same shape as :None:None:`arr`.
Input MaskedArray
for which the mask is required.
Return the mask of a masked array, or full boolean array of False.
getdata
Return the data of a masked array as an ndarray.
getmask
Return the mask of a masked array, or nomask.
>>> 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.getmaskarray(a) array([[False, True], [False, False]])
Result when mask == nomask
>>> b = ma.masked_array([[1,2],[3,4]])This example is valid syntax, but we were not able to check execution
... b masked_array( data=[[1, 2], [3, 4]], mask=False, fill_value=999999)
>>> ma.getmaskarray(b) array([[False, False], [False, False]])See :
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.ma.core.getdata
numpy.ma.core.getmask
dask.array.ma.getmaskarray
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