code: def pubdev_6393():
      locations = [
          ["location"],
          [
              "�Ｘ県 Ａ市 "
          ],  # First observation contains replacement character for unknown char
          ["Ｘ県 Ｂ市"],
      ]
  
      frame = H2OFrame(locations, header=True, column_types=["enum"])
      assert frame.ncols == 1
      assert frame.nrows == len(locations) - 1
  
      frame_categories = frame["location"].categories()
      print(frame_categories)
  
      frame_converted = frame["location"].ascharacter().asfactor()
      assert frame_converted.ncols == 1
      assert frame_converted.nrows == len(locations) - 1
  
      frame_converted_categories = frame_converted.categories()
      print(frame_converted_categories)
  
      # Check for the representation of categoricals to be exactly the same
      # No explicit check for any specific behavior, the behavior of Categorical and asFactor should be the same
      for i in range(0, len(frame_converted_categories)):
          assert frame_categories[i] == frame_converted_categories[i]
  
label_desc: Use image node_id 1 for calling a global function with example usage: pubdev_6393() without return types