numpy.ma.cumsum#

ma.cumsum(self,axis=None,dtype=None,out=None)=<numpy.ma.core._frommethodobject>#

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 atthe same locations.

Refer tonumpy.cumsum for full documentation.

See also

numpy.ndarray.cumsum

corresponding function for ndarrays

numpy.cumsum

equivalent function

Notes

The mask is lost ifout is not a validma.MaskedArray !

Arithmetic is modular when using integer types, and no error israised on overflow.

Examples

Try it in your browser!

>>>importnumpyasnp>>>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)

Go BackOpen In Tab