code: def test_pandas_numpy_equality(self):
      kproto = kprototypes.KPrototypes(
          n_clusters=4, init="Cao", random_state=42
      )
      result_np = kproto.fit_predict(STOCKS, categorical=[1, 2])
      result_pd = kproto.fit_predict(
          pd.DataFrame(STOCKS), categorical=[1, 2]
      )
      np.testing.assert_array_equal(result_np, result_pd)
  
imports: import pickle
  import unittest
  import numpy
  import pandas
  from kmodes import kprototypes
  from kmodes.tests.test_kmodes import assert_cluster_splits_equal
  from kmodes.util.dissim import ng_dissim
label_desc: Use image node_id 29 for calling the TestKProtoTypes obj's underlying member method code with example usage: obj.test_pandas_numpy_equality() without return types