pandas 1.4.2

ParametersReturns
_apply(self, func: 'Callable[[np.ndarray, int, int], np.ndarray]', name: 'str | None' = None, numba_cache_key: 'tuple[Callable, str] | None' = None, numba_args: 'tuple[Any, ...]' = (), **kwargs)

Designed to be used with passed-in Cython array-based functions.

Parameters

func : callable function to apply
name : str,
use_numba_cache : tuple

unused

numba_args : tuple

unused

**kwargs :

additional arguments for scipy windows if necessary

Returns

y : type of input

Rolling with weights statistical measure using supplied function.

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


File: /pandas/core/window/rolling.py#1094
type: <class 'function'>
Commit: