pandas 1.4.2

ParametersReturns
generate_numba_agg_func(kwargs: 'dict[str, Any]', func: 'Callable[..., Scalar]', engine_kwargs: 'dict[str, bool] | None') -> 'Callable[[np.ndarray, np.ndarray, np.ndarray, np.ndarray, int, Any], np.ndarray]'
  1. jit the user's function

  2. Return a groupby agg function with the jitted function inline

Configurations specified in engine_kwargs apply to both the user's function _AND_ the groupby evaluation loop.

Parameters

kwargs : dict

**kwargs to be passed into the function

func : function

function to be applied to each window and will be JITed

engine_kwargs : dict

dictionary of arguments to be passed into numba.jit

Returns

Numba function

Generate a numba jitted agg function specified by values from engine_kwargs.

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/groupby/numba_.py#59
type: <class 'function'>
Commit: