pyspark.pandas.CategoricalIndex.remove_unused_categories¶

CategoricalIndex.remove_unused_categories(inplace: bool = False) → Optional[pyspark.pandas.indexes.category.CategoricalIndex]¶

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

catCategoricalIndex 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

>>> idx = ps.CategoricalIndex(list("abbccc"), categories=['a', 'b', 'c', 'd'])
>>> idx  
CategoricalIndex(['a', 'b', 'b', 'c', 'c', 'c'],
                 categories=['a', 'b', 'c', 'd'], ordered=False, dtype='category')

>>> idx.remove_unused_categories()  
CategoricalIndex(['a', 'b', 'b', 'c', 'c', 'c'],
                 categories=['a', 'b', 'c'], ordered=False, dtype='category')

pyspark.pandas.CategoricalIndex.remove_categories

pyspark.pandas.CategoricalIndex.set_categories