Categorical.__array__(dtype=None)

Series.str.cat(others=None, sep=None, na_rep=None)

Series.nbytes return the number of bytes in the underlying data

Series.str.rindex(sub, start=0, end=None)

Series.to_sparse(kind='block', fill_value=None)

classmethod Categorical.from_codes(codes, categories, ordered=False, name=None)

Series.asobject return object Series which contains boxed values this is an internal non-public method

Series.rmod(other, level=None, fill_value=None, axis=0)

Series.argmax(axis=None, skipna=True, *args, **kwargs)

Series.values Return Series as ndarray or ndarray-like depending on the dtype