pyspark.pandas.Series.cat.add_categories¶

cat.add_categories(new_categories: Union[pandas.core.indexes.base.Index, Any, List], inplace: bool = False) → Optional[ps.Series]¶

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.
inplacebool, default False: Whether or not to add the categories inplace or return a copy of this categorical with added categories.

Returns

Series or None: Categorical with new categories added or None if inplace=True.

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

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

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

pyspark.pandas.Series.cat.reorder_categories

pyspark.pandas.Series.cat.remove_categories