pandas.core.window.Rolling.apply¶
-
Rolling.
apply
(func, raw=None, args=(), kwargs={})[source]¶ rolling function apply
Parameters: func : function
Must produce a single value from an ndarray input if
raw=True
or a Series ifraw=False
raw : bool, default None
False
: passes each row or column as a Series to the function.True
orNone
: 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