pandas.Series.cat.remove_categories#

Series.cat.remove_categories(removals)[source]#

Remove the specified categories.

The removals argument must be a subset of the current categories. Any values that were part of the removed categories will be set to NaN.

Parameters:
removalscategory or list of categories

The categories which should be removed.

Returns:
Categorical

Categorical with removed categories.

Raises:
ValueError

If the removals are not contained in the categories

See also

rename_categories

Rename categories.

reorder_categories

Reorder categories.

add_categories

Add new categories.

remove_unused_categories

Remove categories which are not used.

set_categories

Set 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.remove_categories(["d", "a"])
[NaN, 'c', 'b', 'c', NaN]
Categories (2, object): ['b', 'c']