numpy.ma.masked_array.sum — NumPy v1.13 Manual (original) (raw)
masked_array. sum(axis=None, dtype=None, out=None, keepdims=<class numpy._globals._NoValue>)[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
ndarray.sum
corresponding function for ndarrays
equivalent function
Examples
x = np.ma.array([[1,2,3],[4,5,6],[7,8,9]], mask=[0] + [1,0]*4) print(x) [[1 -- 3] [-- 5 --] [7 -- 9]] print(x.sum()) 25 print(x.sum(axis=1)) [4 5 16] print(x.sum(axis=0)) [8 5 12] print(type(x.sum(axis=0, dtype=np.int64)[0])) <type 'numpy.int64'>