pandas.core.window.Expanding.apply¶

Expanding.apply(func, raw=None, args=(), kwargs={})[source]¶

expanding function apply

Parameters:

func : function

Must produce a single value from an ndarray input if raw=True or a Series if raw=False

raw : bool, default None

False : passes each row or column as a Series to the function.

True or None : the passed function will receive ndarray objects instead. If you are just applying a NumPy reduction function this will achieve much better performance.

The raw parameter is required and will show a FutureWarning if not passed. In the future raw will default to False.

New in version 0.23.0.

*args and **kwargs are passed to the function

Returns:

same type as input

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pandas.core.window.Expanding.apply¶