pandas.Series.cat.categories — pandas 2.2.3 documentation (original) (raw)
Series.cat.categories[source]#
The categories of this categorical.
Setting assigns new values to each category (effectively a rename of each individual category).
The assigned value has to be a list-like object. All items must be unique and the number of items in the new categories must be the same as the number of items in the old categories.
Raises:
ValueError
If the new categories do not validate as categories or if the number of new categories is unequal the number of old categories
Examples
For pandas.Series:
ser = pd.Series(['a', 'b', 'c', 'a'], dtype='category') ser.cat.categories Index(['a', 'b', 'c'], dtype='object')
raw_cat = pd.Categorical(['a', 'b', 'c', 'a'], categories=['b', 'c', 'd']) ser = pd.Series(raw_cat) ser.cat.categories Index(['b', 'c', 'd'], dtype='object')
For pandas.Categorical:
cat = pd.Categorical(['a', 'b'], ordered=True) cat.categories Index(['a', 'b'], dtype='object')
ci = pd.CategoricalIndex(['a', 'c', 'b', 'a', 'c', 'b']) ci.categories Index(['a', 'b', 'c'], dtype='object')
ci = pd.CategoricalIndex(['a', 'c'], categories=['c', 'b', 'a']) ci.categories Index(['c', 'b', 'a'], dtype='object')