Remove the code related to test_argsort_nan_loc

Author: makbigc

pandas/tests/extension/base/methods.py

@@ -44,12 +44,6 @@ def test_argsort_missing(self, data_missing_for_sorting):
         expected = pd.Series(np.array([1, -1, 0], dtype=np.int64))
         self.assert_series_equal(result, expected)
 
-    def test_argsort_nan_loc(self, data_multiple_nan):
-        # GH 21801
-        result = data_multiple_nan.argsort()
-        expected = np.array([3, 9, 7, 1, 0, 6, 2, 4, 5, 8])
-        tm.assert_numpy_array_equal(result, expected)
-
     @pytest.mark.parametrize('ascending', [True, False])
     def test_sort_values(self, data_for_sorting, ascending):
         ser = pd.Series(data_for_sorting)

pandas/tests/extension/decimal/test_decimal.py

@@ -46,12 +46,6 @@ def data_missing_for_sorting():
                          decimal.Decimal('0')])
 
 
-@pytest.fixture
-def data_multiple_nan():
-    return DecimalArray([decimal.Decimal(x) for x in
-                        [5, 4, np.nan, 1, np.nan, np.nan, 6, 3, np.nan, 2]])
-
-
 @pytest.fixture
 def na_cmp():
     return lambda x, y: x.is_nan() and y.is_nan()

pandas/tests/extension/json/test_json.py

@@ -50,12 +50,6 @@ def data_missing_for_sorting():
     return JSONArray([{'b': 1}, {}, {'a': 4}])
 
 
-@pytest.fixture
-def data_multiple_nan():
-    return JSONArray([{'e': 5}, {'d': 4}, {}, {'a': 1}, {},
-                      {}, {'f': 6}, {'c': 3}, {}, {'b': 2}])
-
-
 @pytest.fixture
 def na_value(dtype):
     return dtype.na_value