code: def pubdev_6360():
      source = [
          [1, "Peter", "blah"],
          [2, "Carl", ""],
          [3, "Maria", "whatever"],
          [4, "Cindy", None],
      ]
      expected = [
          [1, "Peter", 1],
          [2, "Carl", 0],
          [3, "Maria", 1],
          [4, "Cindy", 0],
      ]
      columns = ["ID", "Name", "testcolumn"]
      sourcePandasFrame = pd.DataFrame(source, columns=columns)
      expectedPandasFrame = pd.DataFrame(expected, columns=columns)
  
      h2oFrame = H2OFrame(sourcePandasFrame)
      h2oFrame[h2oFrame["testcolumn"] != "", "testcolumn"] = "1"
      try:
          h2oFrame[h2oFrame["testcolumn"] == "", "testcolumn"] = "0"
          assert (
              False
          ), "H2O Frame operation should fail on an enum column"
      except Exception as e:
          assert (
              "Cannot assign value 1 into a vector of type Enum."
              == e.args[0].msg
          ), "H2O Frame operation failed on an unexpected error"
  
      h2oFrame = H2OFrame(sourcePandasFrame)
      h2oFrame["testcolumn"] = h2oFrame["testcolumn"].ascharacter()
      h2oFrame[h2oFrame["testcolumn"] != "", "testcolumn"] = "1"
      h2oFrame[h2oFrame["testcolumn"] == "", "testcolumn"] = "0"
      h2oFrame["testcolumn"] = h2oFrame["testcolumn"].asfactor()
  
      assert_frame_equal(
          h2oFrame.as_data_frame(use_pandas=True), expectedPandasFrame
      )
  
imports: import sys
  import pandas
  from pandas.util.testing import assert_frame_equal
  from h2o.frame import H2OFrame
  from tests import pyunit_utils
label_desc: Use image node_id 1 for calling a global function with example usage: pubdev_6360() without return types