pandas.core.window.Expanding.apply

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

The expanding function’s apply function.

Parameters:

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, *kwargs Arguments and keyword arguments to be passed into func.
Returns:	Series or DataFrame Return type is determined by the caller.

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, **kwargs

Arguments and keyword arguments to be passed into func.

Returns:

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