fixing test cases where the position of NaN has changed

Author: realead

pandas/tests/arrays/string_/test_string.py

@@ -497,7 +497,7 @@ def test_value_counts_na(dtype, request):
 
     arr = pd.array(["a", "b", "a", pd.NA], dtype=dtype)
     result = arr.value_counts(dropna=False)
-    expected = pd.Series([2, 1, 1], index=["a", pd.NA, "b"], dtype="Int64")
+    expected = pd.Series([2, 1, 1], index=["a", "b", pd.NA], dtype="Int64")
     tm.assert_series_equal(result, expected)
 
     result = arr.value_counts(dropna=True)

pandas/tests/series/methods/test_value_counts.py

@@ -185,7 +185,7 @@ def test_value_counts_categorical_with_nan(self):
             (
                 Series([False, True, True, pd.NA]),
                 False,
-                Series([2, 1, 1], index=[True, pd.NA, False]),
+                Series([2, 1, 1], index=[True, False, pd.NA]),
             ),
             (
                 Series([False, True, True, pd.NA]),
@@ -195,7 +195,7 @@ def test_value_counts_categorical_with_nan(self):
             (
                 Series(range(3), index=[True, False, np.nan]).index,
                 False,
-                Series([1, 1, 1], index=[np.nan, True, False]),
+                Series([1, 1, 1], index=[True, False, np.nan]),
             ),
         ],
     )