code: def h2o_H2OFrame_get_frame_data():
      """
      Python API test: h2o.frame.H2OFrame.get_frame_data()
      """
      h2o_iris = h2o.import_file(
          path=pyunit_utils.locate("smalldata/iris/iris_wheader.csv")
      )
      temp = h2o_iris.get_frame_data()
      assert_is_type(temp, str)  # check return type
      # randomly check last column and make sure they are included in the string generated from get_frame_data()
      assert (
          h2o_iris[random.randrange(0, h2o_iris.nrow), "class"] in temp
      ), ("h2o.H2OFrame.get_frame_data()" " command is not working.")
  
imports: import sys
  from tests import pyunit_utils
  import h2o
  from h2o.utils.typechecks import assert_is_type
  import random
label_desc: Use image node_id 1 for calling a global function with example usage: h2o_H2OFrame_get_frame_data() without return types