pandas.core.window.Rolling.apply — pandas 0.24.0rc1 documentation (original) (raw)

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=Trueor 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.

Parameters:

func : function Must produce a single value from an ndarray input if raw=Trueor 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.