pyspark.pandas.CategoricalIndex.as_unordered#

CategoricalIndex.as_unordered()[source]#

Set the Categorical to be unordered.

Returns
CategoricalIndex

Unordered Categorical

Examples

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