How to use the pandarallel._pandarallel._DataFrame function in pandarallel

def closure(df, func, *args, **kwargs):
            axis = kwargs.get("axis", 0)
            if axis == 'index':
                axis = 0
            elif axis == 'columns':
                axis = 1

            opposite_axis = 1 - axis
            chunks = _chunk(df.shape[opposite_axis], nb_workers)

            object_id = plasma_client.put(df)

            with _ProcessPoolExecutor(max_workers=nb_workers) as executor:
                futures = [
                    executor.submit(_DataFrame.worker_apply,
                                    plasma_store_name, object_id,
                                    chunk, func, progress_bar,
                                    *args, **kwargs)
                    for index, chunk in enumerate(chunks)
                ]

            result = _pd.concat([
                                plasma_client.get(future.result())
                                for future in futures
                            ], copy=False)

            return result
        return closure

def closure(df, func):
            chunks = _chunk(df.shape[0], nb_workers)
            object_id = plasma_client.put(df)

            with _ProcessPoolExecutor(max_workers=nb_workers) as executor:
                futures = [
                    executor.submit(_DataFrame.worker_applymap,
                                    plasma_store_name, object_id,
                                    chunk, func, progress_bar)
                    for index, chunk in enumerate(chunks)
                ]

            result = _pd.concat([
                                plasma_client.get(future.result())
                                for future in futures
                            ], copy=False)

            return result
        return closure