Table Of Contents

Search

Enter search terms or a module, class or function name.

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

same type as input

Scroll To Top