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 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.
- inplacebool, default False
Whether or not to rename the categories inplace or return a copy of this categorical with renamed categories.
- Returns
- catCategorical or None
Categorical with removed categories or None if
inplace=True
.
- 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']