numpy.ma.masked_array.cumsum#
method
- ma.masked_array.cumsum(axis=None, dtype=None, out=None)[source]#
Return the cumulative sum of the array elements over the given axis.
Masked values are set to 0 internally during the computation. However, their position is saved, and the result will be masked at the same locations.
Refer to
numpy.cumsum
for full documentation.See also
numpy.ndarray.cumsum
corresponding function for ndarrays
numpy.cumsum
equivalent function
Notes
The mask is lost if out is not a valid
ma.MaskedArray
!Arithmetic is modular when using integer types, and no error is raised on overflow.
Examples
>>> marr = np.ma.array(np.arange(10), mask=[0,0,0,1,1,1,0,0,0,0]) >>> marr.cumsum() masked_array(data=[0, 1, 3, --, --, --, 9, 16, 24, 33], mask=[False, False, False, True, True, True, False, False, False, False], fill_value=999999)