pyspark.pandas.CategoricalIndex.as_unordered¶
-
CategoricalIndex.as_unordered(inplace: bool = False) → Optional[pyspark.pandas.indexes.category.CategoricalIndex]¶ Set the Categorical to be unordered.
- Parameters
- inplacebool, default False
Whether or not to set the ordered attribute in-place or return a copy of this categorical with ordered set to False.
- Returns
- CategoricalIndex or None
Unordered Categorical or None if
inplace=True.
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')