numpy.ma.sum#
- ma.sum(self, axis=None, dtype=None, out=None, keepdims=<no value>) = <numpy.ma.core._frommethod object>#
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
numpy.ndarray.sum
corresponding function for ndarrays
numpy.sum
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'>