numpy.ma.sum  
numpy.ma.sum(self, axis=None, dtype=None, out=None, keepdims=<class numpy._globals._NoValue at 0x40b6a26c>) = <numpy.ma.core._frommethod instance at 0x52d13c4c>  
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 
numpy.sum
 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'>
 


    
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