pyspark.pandas.CategoricalIndex.add_categories#

CategoricalIndex.add_categories(new_categories)[source]#

Add new categories.

new_categories will be included at the last/highest place in the categories and will be unused directly after this call.

Parameters

new_categoriescategory or list-like of category: The new categories to be included.

Returns

CategoricalIndex: Categorical with new categories added

Raises

ValueError: If the new categories include old categories or do not validate as categories

See also

rename_categories: Rename categories.
reorder_categories: Reorder 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.add_categories('x')  
CategoricalIndex(['a', 'b', 'b', 'c', 'c', 'c'],
                 categories=['a', 'b', 'c', 'x'], ordered=False, dtype='category')