code: def test_pandas_numpy_equality(self):
      kmodes = KModes(n_clusters=4, init="Cao", random_state=42)
      result_np = kmodes.fit_predict(SOYBEAN)
      result_pd = kmodes.fit_predict(pd.DataFrame(SOYBEAN))
      np.testing.assert_array_equal(result_np, result_pd)
  
imports: import pickle
  import unittest
  import numpy
  import pandas
  from kmodes.kmodes import KModes
  from kmodes.util.dissim import ng_dissim, jaccard_dissim_binary, jaccard_dissim_label
label_desc: Use image node_id 30 for calling the TestKModes obj's underlying member method code with example usage: obj.test_pandas_numpy_equality() without return types