pyspark.pandas.Series.cat.remove_unused_categories¶

cat.remove_unused_categories(inplace: bool = False) → Optional[ps.Series]¶

Remove categories which are not used.

Parameters

inplacebool, default False: Whether or not to drop unused categories inplace or return a copy of this categorical with unused categories dropped.

Returns

catSeries or None: Categorical with unused categories dropped or None if inplace=True.

See also

rename_categories: Rename categories.
reorder_categories: Reorder categories.
add_categories: Add new categories.
remove_categories: Remove the specified categories.
set_categories: Set the categories to the specified ones.

Examples

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

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

pyspark.pandas.Series.cat.remove_categories

pyspark.pandas.Series.cat.set_categories