code: def test_formats_empty_skew_results(self):
      skew_results = []
      df = display_util.get_skew_result_dataframe(skew_results)
      expected = pd.DataFrame(
          [],
          columns=[
              "feature_name",
              "base_count",
              "test_count",
              "match_count",
              "base_only",
              "test_only",
              "mismatch_count",
              "diff_count",
          ],
      )
      self.assertTrue(df.equals(expected))
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import Any, Dict
  from absl.testing import absltest
  from absl.testing import parameterized
  from google.protobuf import text_format
  import pandas
  from tensorflow_data_validation import constants
  from tensorflow_data_validation import types
  from tensorflow_data_validation.skew.protos import feature_skew_results_pb2
  from tensorflow_data_validation.utils import display_util
  from tensorflow_data_validation.utils import test_util
  from tensorflow_metadata.proto.v0 import anomalies_pb2
  from tensorflow_metadata.proto.v0 import schema_pb2
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 2 for calling the FeatureSkewTest obj's underlying member method code with example usage: obj.test_formats_empty_skew_results() without return types