Document

set_categories(self, new_categories, ordered=None, rename=False, inplace=<no_default>)

:None:None:`new_categories` can include new categories (which will result in unused categories) or remove old categories (which results in values set to NaN). If :None:None:`rename==True`, the categories will simple be renamed (less or more items than in old categories will result in values set to NaN or in unused categories respectively).

This method can be used to perform more than one action of adding, removing, and reordering simultaneously and is therefore faster than performing the individual steps via the more specialised methods.

On the other hand this methods does not do checks (e.g., whether the old categories are included in the new categories on a reorder), which can result in surprising changes, for example when using special string dtypes, which does not considers a S1 string equal to a single char python string.

Parameters

new_categories : Index-like: The categories in new order.
ordered : bool, default False: Whether or not the categorical is treated as a ordered categorical. If not given, do not change the ordered information.
rename : bool, default False: Whether or not the new_categories should be considered as a rename of the old categories or as reordered categories.
inplace : bool, default False: Whether or not to reorder the categories in-place or return a copy of this categorical with reordered categories.

deprecated

Raises

ValueError: If new_categories does not validate as categories

Returns

Categorical with reordered categories or None if inplace.

Set the categories to the specified new_categories.

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

pandas.core.arrays.categorical.Categorical.remove_categories pandas.core.arrays.categorical.Categorical.add_categories pandas.core.arrays.categorical.Categorical.rename_categories pandas.core.arrays.categorical.Categorical.remove_unused_categories pandas.core.arrays.categorical.Categorical.reorder_categories

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