pandas.CategoricalIndex.remove_categories

CategoricalIndex.remove_categories(*args, **kwargs)

Remove the specified categories.

removals must be included in the old categories. Values which were in the removed categories will be set to NaN

Parameters

removalscategory or list of categories

The categories which should be removed.

inplacebool, default False

Whether or not to remove the categories inplace or return a copy of this categorical with removed categories.

Deprecated since version 1.3.0.

Returns

catCategorical or None

Categorical with removed categories or None if inplace=True.

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']

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pandas.CategoricalIndex.add_categories

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