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masked_accumulations.py is for accumulation algorithms using a mask-based approach
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for missing values.
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é )Ú annotations)Ú TYPE_CHECKINGÚCallableN)ÚnptT©Úskipnac óB |j j dk( r*t j |j j « }n¡|j j dv r*t j
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Accumulations for 1D masked array.
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We will modify values in place to replace NAs with the appropriate fill value.
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Parameters
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----------
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func : np.cumsum, np.cumprod, np.maximum.accumulate, np.minimum.accumulate
|
values : np.ndarray
|
Numpy array with the values (can be of any dtype that support the
|
operation).
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mask : np.ndarray
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Boolean numpy array (True values indicate missing values).
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skipna : bool, default True
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Whether to skip NA.
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