pandas.core.window.Rolling.apply

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

The rolling function’s apply function.

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.

See also

Series.rolling

Series rolling.

DataFrame.rolling

DataFrame rolling.