ma.sum(self, axis=None, dtype=None, out=None, keepdims=<novalue>)
Return the sum of the array elements over the given axis.
Masked elements are set to 0 internally.
Refer to
for full documentation.
Examples
>>> importnumpyasnp>>> x=np.ma.array([[1,2,3],[4,5,6],[7,8,9]],mask=[0]+[1,0]*4)>>> xmasked_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'>