get_indexer_indexer(target: 'Index', level: 'str | int | list[str] | list[int]', ascending: 'Sequence[bool | int] | bool | int', kind: 'str', na_position: 'str', sort_remaining: 'bool', key: 'IndexKeyFunc') -> 'np.ndarray | None'

Parameters

target : Index

level : int or level name or list of ints or list of level names

ascending : bool or list of bools, default True

kind : {'quicksort', 'mergesort', 'heapsort', 'stable'}, default 'quicksort'

na_position : {'first', 'last'}, default 'last'

sort_remaining : bool, default True

key : callable, optional

Returns

Optional[ndarray]

The indexer for the new index.

Helper method that return the indexer according to input parameters for the sort_index method of DataFrame and Series.

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

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File: /pandas/core/sorting.py#47
type: <class 'function'>
Commit: