pandas 1.4.2

ParametersReturns
generate_shared_aggregator(func: 'Callable[..., Scalar]', engine_kwargs: 'dict[str, bool] | None', cache_key_str: 'str')

Parameters

func : function

aggregation function to be applied to each column

engine_kwargs : dict

dictionary of arguments to be passed into numba.jit

cache_key_str: str :

string to access the compiled function of the form <caller_type>_<aggregation_type> e.g. rolling_mean, groupby_mean

Returns

Numba function

Generate a Numba function that loops over the columns 2D object and applies a 1D numba kernel over each column.

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/_numba/executor.py#19
type: <class 'function'>
Commit: