pandas.Series.cat.rename_categories#

Series.cat.rename_categories(*args,**kwargs)[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 inthe new categories must match the existing number of categories.

• dict-like: specifies a mapping fromold categories to new. Categories not contained in the mappingare passed through and extra categories in the mapping areignored.

• callable : a callable that is called on all items in the oldcategories 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 ofitems 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-likenew_categories, extra keys are ignored andcategories 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(lambdax:x.upper())['A', 'A', 'B']Categories (2, object): ['A', 'B']