CategoricalIndex.flags

CategoricalIndex.putmask(mask, value)

CategoricalIndex.set_value(arr, key, value)

CategoricalIndex.ndim return the number of dimensions of the underlying data, by definition 1

CategoricalIndex.asof_locs(where, mask)

CategoricalIndex.get_loc(key, method=None)

CategoricalIndex.argmax(axis=None)

CategoricalIndex.add_categories(*args, **kwargs)

CategoricalIndex.is_type_compatible(kind)

CategoricalIndex.astype(dtype, copy=True)