CategoricalIndex.strides return the strides of the underlying data

CategoricalIndex.get_indexer_for(target, **kwargs)

CategoricalIndex.intersection(other)

CategoricalIndex.as_unordered(*args, **kwargs)

CategoricalIndex.to_series(**kwargs)

CategoricalIndex.set_names(names, level=None, inplace=False)

CategoricalIndex.get_value(series, key)

CategoricalIndex.drop(labels, errors='raise')

CategoricalIndex.as_ordered(*args, **kwargs)

CategoricalIndex.isin(values, level=None)