pyspark.pandas.CategoricalIndex.reorder_categories¶

CategoricalIndex.reorder_categories(new_categories: Union[pandas.core.indexes.base.Index, Any, List], ordered: Optional[bool] = None, inplace: bool = False) → Optional[pyspark.pandas.indexes.category.CategoricalIndex]¶

Reorder categories as specified in new_categories.

new_categories need to include all old categories and no new category items.

Parameters

new_categoriesIndex-like: The categories in new order.
orderedbool, optional: Whether or not the categorical is treated as a ordered categorical. If not given, do not change the ordered information.
inplacebool, default False: Whether or not to reorder the categories inplace or return a copy of this categorical with reordered categories.

Returns

catCategoricalIndex or None: Categorical with removed categories or None if inplace=True.

Raises

ValueError: If the new categories do not contain all old category items or any new ones

See also

rename_categories: Rename categories.
add_categories: Add new categories.
remove_categories: Remove the specified categories.
remove_unused_categories: Remove categories which are not used.
set_categories: Set the categories to the specified ones.

Examples

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

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

pyspark.pandas.CategoricalIndex.rename_categories

pyspark.pandas.CategoricalIndex.add_categories