Stop using deprecated pandas array_equiv method.

See discussion in
pandas-dev/pandas#14555.

Author: dukebody

tests/test_categorical_imputer.py

@@ -29,7 +29,7 @@ def test_unit(input_type, none_value):
 
     Xt = CategoricalImputer().fit_transform(X)
 
-    assert pd.core.common.array_equivalent(np.asarray(X), np.asarray(Xc))
+    assert np.array_equal(np.asarray(X), np.asarray(Xc))
     assert isinstance(Xt, np.ndarray)
     assert (Xt == ['a', 'b', 'b', 'b']).all()
 
@@ -151,7 +151,7 @@ def test_custom_replacement(replacement_value, input_type):
         replacement=replacement_value
     ).fit_transform(X)
 
-    assert pd.core.common.array_equivalent(np.asarray(X), np.asarray(Xc))
+    assert np.array_equal(np.asarray(X), np.asarray(Xc))
     assert isinstance(Xt, np.ndarray)
     assert (Xt == ['a', replacement_value, 'b', 'b']).all()