code: def test_xgboost_unicode(self):
      assert H2OXGBoostEstimator.available()
  
      unic_df = pd.DataFrame(
          {"\xA5": [2, 3, 1], "y": [0, 0, 1], "x": [0.3, 0.1, 0.9]}
      )
      h2o_unic = h2o.H2OFrame(unic_df, destination_frame="unic_df")
  
      xg1 = H2OXGBoostEstimator(model_id="xg1", ntrees=3)
      xg1.train(x=["\xA5", "x"], y="y", training_frame=h2o_unic)
  
imports: import pandas
  from h2o.estimators.xgboost import *
  from tests import pyunit_utils
  import unittest
  import sys
label_desc: Use image node_id 1 for calling the TestXGBoostUnicode obj's underlying member method code with example usage: obj.test_xgboost_unicode() without return types