numpy.ma.MaskedArray.sum
method
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ma.MaskedArray.sum(axis=None, dtype=None, out=None, keepdims=<no value>)
[source] -
Return the sum of the array elements over the given axis.
Masked elements are set to 0 internally.
Refer to
numpy.sum
for full documentation.See also
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numpy.ndarray.sum
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corresponding function for ndarrays
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numpy.sum
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equivalent function
Examples
>>> x = np.ma.array([[1,2,3],[4,5,6],[7,8,9]], mask=[0] + [1,0]*4) >>> x masked_array( data=[[1, --, 3], [--, 5, --], [7, --, 9]], mask=[[False, True, False], [ True, False, True], [False, True, False]], fill_value=999999) >>> x.sum() 25 >>> x.sum(axis=1) masked_array(data=[4, 5, 16], mask=[False, False, False], fill_value=999999) >>> x.sum(axis=0) masked_array(data=[8, 5, 12], mask=[False, False, False], fill_value=999999) >>> print(type(x.sum(axis=0, dtype=np.int64)[0])) <class 'numpy.int64'>
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Licensed under the 3-clause BSD License.
https://numpy.org/doc/1.21/reference/generated/numpy.ma.MaskedArray.sum.html