code: def test_explanation_some_dataframe_pareto_front():
      import pandas as pd
  
      df = pd.DataFrame(
          {
              "A": [1, 2, 3, 4, 5],
              "b": [4, 1, 3, 5, 2],
              "c": [5, 4, 3, 2, 1],
          }
      )
      h2o_df = h2o.H2OFrame(df)
  
      assert isinstance(
          h2o.explanation.pareto_front(df, "A", "c").figure(),
          matplotlib.pyplot.Figure,
      )
      matplotlib.pyplot.close()
  
      assert isinstance(
          h2o.explanation.pareto_front(h2o_df, "A", "c").figure(),
          matplotlib.pyplot.Figure,
      )
      matplotlib.pyplot.close()
  
imports: import os
  import sys
  import pandas
  from h2o.grid import H2OGridSearch
  import matplotlib
  import h2o
  import pandas
  import matplotlib.pyplot
  from tests import pyunit_utils, test_plot_result_saving
  from h2o.automl import H2OAutoML
  from h2o.estimators import *
  from h2o.explanation._explain import H2OExplanation
label_desc: Use image node_id 16 for calling a global function with example usage: test_explanation_some_dataframe_pareto_front() without return types