pyspark.pandas.Series.cat.remove_categories¶

cat.remove_categories(removals: Union[pandas.core.indexes.base.Index, Any, List]) → Optional[ps.Series]¶

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.

Returns

Series 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

>>> s = ps.Series(list("abbccc"), dtype="category")
>>> s  
0    a
1    b
2    b
3    c
4    c
5    c
dtype: category
Categories (3, object): ['a', 'b', 'c']

>>> s.cat.remove_categories('b')  
0      a
1    NaN
2    NaN
3      c
4      c
5      c
dtype: category
Categories (2, object): ['a', 'c']

pyspark.pandas.Series.cat.add_categories

pyspark.pandas.Series.cat.remove_unused_categories