pyspark.pandas.Series.cat.as_ordered

cat.as_ordered()

Set the Categorical to be ordered.

Returns

Series

Ordered Categorical

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.as_ordered()  
0    a
1    b
2    b
3    c
4    c
5    c
dtype: category
Categories (3, object): ['a' < 'b' < 'c']