pandas.CategoricalIndex.rename_categories#

CategoricalIndex.rename_categories(new_categories)[source]#

Rename categories.

Parameters:
new_categorieslist-like, dict-like or callable

New categories which will replace old categories.

  • list-like: all items must be unique and the number of items in the new categories must match the existing number of categories.

  • dict-like: specifies a mapping from old categories to new. Categories not contained in the mapping are passed through and extra categories in the mapping are ignored.

  • callable : a callable that is called on all items in the old categories and whose return values comprise the new categories.

Returns:
Categorical

Categorical with renamed categories.

Raises:
ValueError

If new categories are list-like and do not have the same number of items than the current categories or do not validate as categories

See also

reorder_categories

Reorder categories.

add_categories

Add new categories.

remove_categories

Remove the specified categories.

remove_unused_categories

Remove categories which are not used.

set_categories

Set the categories to the specified ones.

Examples

>>> c = pd.Categorical(["a", "a", "b"])
>>> c.rename_categories([0, 1])
[0, 0, 1]
Categories (2, int64): [0, 1]

For dict-like new_categories, extra keys are ignored and categories not in the dictionary are passed through

>>> c.rename_categories({"a": "A", "c": "C"})
['A', 'A', 'b']
Categories (2, object): ['A', 'b']

You may also provide a callable to create the new categories

>>> c.rename_categories(lambda x: x.upper())
['A', 'A', 'B']
Categories (2, object): ['A', 'B']