pyspark.pandas.Series.cat.remove_unused_categories¶
-
cat.
remove_unused_categories
() → Optional[ps.Series]¶ Remove categories which are not used.
- 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']