code: def get_df_row(dimensions, naming='label', i=0, record=None):
      
  
      check_input(naming)
      if i == 0 or record is None:
          record = []
      for dimension in dimensions[i][naming]:
          record.append(dimension)
          if len(record) == len(dimensions):
              yield record
  
          if i + 1 < len(dimensions):
              for row in get_df_row(dimensions, naming, i + 1, record):
                  yield row
          if len(record) == i + 1:
              record.pop()
docs: Generate row dimension values for a pandas dataframe.
  
      Args:
        dimensions (list): list of pandas dataframes with dimension labels \
                           generated by get_dim_label or get_dim_index methods.
        naming (string, optional): dimension naming. Possible values: 'label' \
                                   or 'id'.
        i (int): dimension list iteration index. Default is 0, it's used in the \
                           recursive calls to the method.
        record (list): list of values representing a pandas dataframe row, \
                       except for the value column. Default is empty, it's used \
                       in the recursive calls to the method.
  
      Yields:
        list: list with pandas dataframe column values except for value column