Backport PR #56922 on branch 2.2.x (REGR: DatetimeTZDtype __from_arrow__ interprets UTC values as wall time) (#56962)

Backport PR #56922: REGR: DatetimeTZDtype __from_arrow__ interprets UTC values as wall time

Co-authored-by: Thomas Li <[email protected]>

Author: meeseeksmachine

pandas/core/dtypes/dtypes.py

@@ -919,7 +919,7 @@ def __from_arrow__(self, array: pa.Array | pa.ChunkedArray) -> DatetimeArray:
         else:
             np_arr = array.to_numpy()
 
-        return DatetimeArray._from_sequence(np_arr, dtype=self, copy=False)
+        return DatetimeArray._simple_new(np_arr, dtype=self)
 
     def __setstate__(self, state) -> None:
         # for pickle compat. __get_state__ is defined in the

pandas/tests/arrays/datetimes/test_constructors.py

@@ -223,7 +223,7 @@ def test_2d(self, order):
         ("s", "ns", "US/Central", "Asia/Kolkata", COARSE_TO_FINE_SAFE),
     ],
 )
-def test_from_arrowtest_from_arrow_with_different_units_and_timezones_with_(
+def test_from_arrow_with_different_units_and_timezones_with(
     pa_unit, pd_unit, pa_tz, pd_tz, data
 ):
     pa = pytest.importorskip("pyarrow")
@@ -233,9 +233,8 @@ def test_from_arrowtest_from_arrow_with_different_units_and_timezones_with_(
     dtype = DatetimeTZDtype(unit=pd_unit, tz=pd_tz)
 
     result = dtype.__from_arrow__(arr)
-    expected = DatetimeArray._from_sequence(
-        np.array(data, dtype=f"datetime64[{pa_unit}]").astype(f"datetime64[{pd_unit}]"),
-        dtype=dtype,
+    expected = DatetimeArray._from_sequence(data, dtype=f"M8[{pa_unit}, UTC]").astype(
+        dtype, copy=False
     )
     tm.assert_extension_array_equal(result, expected)