class pandas.CategoricalIndex
CategoricalIndex.get_loc(key, method=None)
CategoricalIndex.as_ordered(*args, **kwargs)
CategoricalIndex.drop(labels, errors='raise')
CategoricalIndex.isin(values, level=None)
CategoricalIndex.intersection(other)
CategoricalIndex.astype(dtype, copy=True)
CategoricalIndex.asof_locs(where, mask)
CategoricalIndex.ndim return the number of dimensions of the underlying data, by definition 1
CategoricalIndex.memory_usage(deep=False)
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