code: def h2o_H2OFrame_as_data_frame():
      """
      Python API test: h2o.frame.H2OFrame.as_data_frame(use_pandas=True, header=True)
  
      Copied from pyunit_as_data_frame.py
      """
      smallbike = h2o.import_file(
          pyunit_utils.locate("smalldata/jira/citibike_head.csv")
      )
      smallbike_noheader = smallbike.as_data_frame(
          use_pandas=True, header=False
      )
      assert_is_type(smallbike_noheader, DataFrame)
      assert len(smallbike_noheader) == smallbike.nrow
  
      head_small_bike = smallbike.head(rows=5, cols=2)
      tail_small_bike = smallbike.tail(rows=5, cols=2)
      assert len(head_small_bike[0]) == len(tail_small_bike[0]) == 5, (
          "h2o.H2OFrame.as_data_frame() command is " "not working."
      )
      assert (
          len(head_small_bike) == len(tail_small_bike) == 5
      ), "h2o.H2OFrame.as_data_frame() command is not working."
  
      ##use_pandas = True
      small_bike_pandas = smallbike.as_data_frame(
          use_pandas=True, header=True
      )
      assert_is_type(small_bike_pandas, DataFrame)
      assert small_bike_pandas.shape == (smallbike.nrow, smallbike.ncol)
  
imports: import sys
  import h2o
  from tests import pyunit_utils
  from h2o.utils.typechecks import assert_is_type
  from pandas import DataFrame
label_desc: Use image node_id 1 for calling a global function with example usage: h2o_H2OFrame_as_data_frame() without return types