CLN: use fixture for ordered

Author: topper-123

pandas/tests/series/test_analytics.py

@@ -1408,14 +1408,13 @@ def test_value_counts_with_nan(self):
          pytest.param("datetime64[D]",
                       marks=pytest.mark.xfail(reason="GH#7996"))]
     )
-    @pytest.mark.parametrize("is_ordered", [True, False])
-    def test_drop_duplicates_categorical_non_bool(self, dtype, is_ordered):
+    def test_drop_duplicates_categorical_non_bool(self, dtype, ordered):
         cat_array = np.array([1, 2, 3, 4, 5], dtype=np.dtype(dtype))
 
         # Test case 1
         input1 = np.array([1, 2, 3, 3], dtype=np.dtype(dtype))
         tc1 = Series(Categorical(input1, categories=cat_array,
-                                 ordered=is_ordered))
+                                 ordered=ordered))
 
         expected = Series([False, False, False, True])
         tm.assert_series_equal(tc1.duplicated(), expected)
@@ -1442,7 +1441,7 @@ def test_drop_duplicates_categorical_non_bool(self, dtype, is_ordered):
         # Test case 2
         input2 = np.array([1, 2, 3, 5, 3, 2, 4], dtype=np.dtype(dtype))
         tc2 = Series(Categorical(
-            input2, categories=cat_array, ordered=is_ordered)
+            input2, categories=cat_array, ordered=ordered)
         )
 
         expected = Series([False, False, False, False, True, True, False])
@@ -1467,10 +1466,9 @@ def test_drop_duplicates_categorical_non_bool(self, dtype, is_ordered):
         sc.drop_duplicates(keep=False, inplace=True)
         tm.assert_series_equal(sc, tc2[~expected])
 
-    @pytest.mark.parametrize("is_ordered", [True, False])
-    def test_drop_duplicates_categorical_bool(self, is_ordered):
+    def test_drop_duplicates_categorical_bool(self, ordered):
         tc = Series(Categorical([True, False, True, False],
-                                categories=[True, False], ordered=is_ordered))
+                                categories=[True, False], ordered=ordered))
 
         expected = Series([False, False, True, True])
         tm.assert_series_equal(tc.duplicated(), expected)