code: def setUp(self):
      df, y = load_driftbif(100, 10, classification=True, seed=42)
  
      df["my_id"] = df["id"].astype("str")
      del df["id"]
  
      self.df = df
  
file_path: tsfresh/tests/integrations/test_feature_extraction.py
imports: from unittest import TestCase
  import dask.dataframe
  import pandas
  from tsfresh import extract_features, extract_relevant_features
  from tsfresh.examples.driftbif_simulation import load_driftbif
  from tsfresh.feature_extraction import MinimalFCParameters
label_desc: Use image node_id 1 for calling the FeatureExtractionTestCase obj's underlying member method code with example usage: obj.setUp() without return types