pandas 1.4.2

ParametersReturns
generate_numba_ewm_table_func(engine_kwargs: 'dict[str, bool] | None', com: 'float', adjust: 'bool', ignore_na: 'bool', deltas: 'np.ndarray', normalize: 'bool')

Parameters

engine_kwargs : dict

dictionary of arguments to be passed into numba.jit

com : float
adjust : bool
ignore_na : bool
deltas : numpy.ndarray
normalize: bool :

Returns

Numba function

Generate a numba jitted ewm mean or sum function applied table wise 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/window/numba_.py#275
type: <class 'function'>
Commit: