pandas 1.4.2

ParametersReturns
cumsum(self, axis: 'int' = 0, *args, **kwargs) -> 'SparseArray'

When performing the cumulative summation, any non-NA/null values will be skipped. The resulting SparseArray will preserve the locations of NaN values, but the fill value will be :None:None:`np.nan` regardless.

Parameters

axis : int or None

Axis over which to perform the cumulative summation. If None, perform cumulative summation over flattened array.

Returns

cumsum : SparseArray

Cumulative sum of non-NA/null values.

Examples

See :

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File: /pandas/core/arrays/sparse/array.py#1470
type: <class 'function'>
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