Remove categories which are not used.
Categorical with unused categories dropped.
See also
rename_categoriesRename categories.
reorder_categoriesReorder categories.
add_categoriesAdd new categories.
remove_categoriesRemove the specified categories.
set_categoriesSet the categories to the specified ones.
Examples
>>> c = pd.Categorical(['a', 'c', 'b', 'c', 'd'])
>>> c
['a', 'c', 'b', 'c', 'd']
Categories (4, object): ['a', 'b', 'c', 'd']
>>> c[2] = 'a'
>>> c[4] = 'c'
>>> c
['a', 'c', 'a', 'c', 'c']
Categories (4, object): ['a', 'b', 'c', 'd']
>>> c.remove_unused_categories()
['a', 'c', 'a', 'c', 'c']
Categories (2, object): ['a', 'c']
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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/2.3.0/reference/api/pandas.CategoricalIndex.remove_unused_categories.html