pandas 1.4.2

Returns
_reverse_indexer(self) -> 'dict[Hashable, npt.NDArray[np.intp]]'

This is an internal function

Returns

Dict[Hashable, np.ndarray[np.intp]]

dict of categories -> indexers

Compute the inverse of a categorical, returning a dict of categories -> indexers.

Examples

This example is valid syntax, but we were not able to check execution
>>> c = pd.Categorical(list('aabca'))
... c ['a', 'a', 'b', 'c', 'a'] Categories (3, object): ['a', 'b', 'c']
This example is valid syntax, but we were not able to check execution
>>> c.categories
Index(['a', 'b', 'c'], dtype='object')
This example is valid syntax, but we were not able to check execution
>>> c.codes
array([0, 0, 1, 2, 0], dtype=int8)
This example is valid syntax, but we were not able to check execution
>>> c._reverse_indexer()
{'a': array([0, 1, 4]), 'b': array([2]), 'c': array([3])}
See :

Local connectivity graph

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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/arrays/categorical.py#2130
type: <class 'function'>
Commit: