numpy.ma.MaskedArray.cumsum

method

MaskedArray.cumsum(axis=None, dtype=None, out=None)[源代码]

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.

参见

ndarray.cumsum
corresponding function for ndarrays
numpy.cumsum
equivalent function

Notes

The mask is lost if out is not a valid 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])
>>> print(marr.cumsum())
[0 1 3 -- -- -- 9 16 24 33]