pandas 1.4.2

ParametersReturns
recode_for_groupby(c: 'Categorical', sort: 'bool', observed: 'bool') -> 'tuple[Categorical, Categorical | None]'

If observed=True, we return a new Categorical with the observed categories only.

If sort=False, return a copy of self, coded with categories as returned by .unique(), followed by any categories not appearing in the data. If sort=True, return self.

This method is needed solely to ensure the categorical index of the GroupBy result has categories in the order of appearance in the data (GH-8868).

Parameters

c : Categorical
sort : bool

The value of the sort parameter groupby was called with.

observed : bool

Account only for the observed values

Returns

Categorical

If sort=False, the new categories are set to the order of appearance in codes (unless ordered=True, in which case the original order is preserved), followed by any unrepresented categories in the original order.

Categorical or None

If we are observed, return the original categorical, otherwise None

Code the categories to ensure we can groupby for categoricals.

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/categorical.py#14
type: <class 'function'>
Commit: