code: def deploy_axis_func(
          cls, axis, func, num_splits, kwargs, maintain_partitioning, *partitions
      ):
          
          # Pop these off first because they aren't expected by the function.
          manual_partition = kwargs.pop("manual_partition", False)
          lengths = kwargs.pop("_lengths", None)
  
          dataframe = pandas.concat(partitions, axis=axis, copy=False)
          result = func(dataframe, **kwargs)
          if isinstance(result, pandas.Series):
              if num_splits == 1:
                  return result
              return [result] + [pandas.Series([]) for _ in range(num_splits - 1)]
  
          if manual_partition:
              # The split function is expecting a list
              lengths = list(lengths)
          # We set lengths to None so we don't use the old lengths for the resulting partition
          # layout. This is done if the number of splits is changing or we are told not to
          # keep the old partitioning.
          elif num_splits != len(partitions) or not maintain_partitioning:
              lengths = None
          else:
              if axis == 0:
                  lengths = [len(part) for part in partitions]
                  if sum(lengths) != len(result):
                      lengths = None
              else:
                  lengths = [len(part.columns) for part in partitions]
                  if sum(lengths) != len(result.columns):
                      lengths = None
          return split_result_of_axis_func_pandas(axis, num_splits, result, lengths)
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.
                  maintain_partitioning: If True, keep the old partitioning if possible.
                      If False, create a new partition layout.
                  partitions: All partitions that make up the full axis (row or column)
  
              Returns:
                  A list of Pandas DataFrames.