numpy.nancumsum(a, axis=None, dtype=None, out=None)
[source]
Return the cumulative sum of array elements over a given axis treating Not a Numbers (NaNs) as zero. The cumulative sum does not change when NaNs are encountered and leading NaNs are replaced by zeros.
Zeros are returned for slices that are all-NaN or empty.
New in version 1.12.0.
Parameters: |
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Returns: |
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See also
numpy.cumsum
isnan
>>> np.nancumsum(1) array([1]) >>> np.nancumsum([1]) array([1]) >>> np.nancumsum([1, np.nan]) array([1., 1.]) >>> a = np.array([[1, 2], [3, np.nan]]) >>> np.nancumsum(a) array([1., 3., 6., 6.]) >>> np.nancumsum(a, axis=0) array([[1., 2.], [4., 2.]]) >>> np.nancumsum(a, axis=1) array([[1., 3.], [3., 3.]])
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https://docs.scipy.org/doc/numpy-1.17.0/reference/generated/numpy.nancumsum.html