code: def deploy_ray_axis_func(axis, func, num_splits, kwargs, *partitions):
      
      table = concat_arrow_table_partitions(axis, partitions)
      try:
          result = func(table, **kwargs)
      except Exception:
          result = pyarrow.Table.from_pandas(func(table.to_pandas(), **kwargs))
      return split_arrow_table_result(
          axis, result, len(partitions), num_splits, table.schema.metadata
      )
docs: Deploy a function along a full axis in Ray.
  
      Args:
          axis: The axis to perform the function along.
          func: The function to perform.
          num_splits: The number of splits to return
              (see `split_result_of_axis_func_pandas`)
          kwargs: A dictionary of keyword arguments.
          partitions: All partitions that make up the full axis (row or column)
  
      Returns:
          A list of Pandas DataFrames.