code: def deploy_func_between_two_axis_partitions(
          cls, axis, func, num_splits, len_of_left, kwargs, *partitions
      ):
          
          lt_frame = pandas.concat(list(partitions[:len_of_left]), axis=axis, copy=False)
          rt_frame = pandas.concat(list(partitions[len_of_left:]), axis=axis, copy=False)
  
          result = func(lt_frame, rt_frame, **kwargs)
          return split_result_of_axis_func_pandas(axis, num_splits, result)
docs: Deploy a function along a full axis between two data sets 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`).
              len_of_left: The number of values in `partitions` that belong to the
                  left data set.
              kwargs: A dictionary of keyword arguments.
              partitions: All partitions that make up the full axis (row or column)
                  for both data sets.
  
          Returns:
              A list of Pandas DataFrames.