Add tz_convert test

Author: MarcoGorelli

pandas/core/indexes/accessors.py

@@ -322,7 +322,7 @@ def __new__(cls, data):
         orig = data if is_categorical_dtype(data) else None
         if orig is not None:
             data = Series(
-                orig.values.__array__(),
+                np.asarray(orig.values),
                 name=orig.name,
                 copy=False,
                 dtype=orig.values.categories.dtype,

pandas/tests/indexes/test_category.py

@@ -1135,7 +1135,18 @@ def test_dt_tz_localize(self, tz_aware_fixture):
         expected = datetimes.dt.tz_localize(tz)
         tm.assert_series_equal(result, expected)
 
-    @pytest.mark.parametrize("accessor", [("year"), ("month"), ("day")])
+    def test_dt_tz_convert(self, tz_aware_fixture):
+        # GH 27952
+        tz = tz_aware_fixture
+        datetimes = pd.Series(
+            ["2019-01-01", "2019-01-01", "2019-01-02"], dtype="datetime64[ns, MET]"
+        )
+        categorical = datetimes.astype("category")
+        result = categorical.dt.tz_convert(tz)
+        expected = datetimes.dt.tz_convert(tz)
+        tm.assert_series_equal(result, expected)
+
+    @pytest.mark.parametrize("accessor", ["year", "month", "day"])
     def test_dt_other_accessors(self, accessor):
         # GH 27952
         datetimes = pd.Series(