BUG: fix DataFrame(data=[None, 1], dtype='timedelta64[ns]') raising ValueError

doc/source/whatsnew/v3.0.0.rst

@@ -758,6 +758,7 @@ Styler
 
 Other
 ^^^^^
+- Bug in :class:`DataFrame` raising ``ValueError`` when ``dtype`` is ``timedelta64`` and ``data`` is a list containing ``None`` (:issue:`60064`)
 - Bug in :class:`DataFrame` when passing a ``dict`` with a NA scalar and ``columns`` that would always return ``np.nan`` (:issue:`57205`)
 - Bug in :func:`eval` on :class:`ExtensionArray` on including division ``/`` failed with a ``TypeError``. (:issue:`58748`)
 - Bug in :func:`eval` where the names of the :class:`Series` were not preserved when using ``engine="numexpr"``. (:issue:`10239`)

pandas/core/arrays/timedeltas.py

@@ -1111,7 +1111,7 @@ def sequence_to_td64ns(
         else:
             mask = np.isnan(data)
 
-        data = cast_from_unit_vectorized(data, unit or "ns")
+        data = cast_from_unit_vectorized(data.ravel(), unit or "ns").reshape(data.shape)
         data[mask] = iNaT
         data = data.view("m8[ns]")
         copy = False

pandas/tests/frame/test_constructors.py

@@ -2772,6 +2772,14 @@ def test_construction_datetime_resolution_inference(self, cons):
         res_dtype2 = tm.get_dtype(obj2)
         assert res_dtype2 == "M8[us, US/Pacific]", res_dtype2
 
+    def test_construction_nan_value_timedelta64_dtype(self):
+        # GH#60064
+        result = DataFrame([None, 1], dtype="timedelta64[ns]")
+        expected = DataFrame(
+            ["NaT", "0 days 00:00:00.000000001"], dtype="timedelta64[ns]"
+        )
+        tm.assert_frame_equal(result, expected)
+
 
 class TestDataFrameConstructorIndexInference:
     def test_frame_from_dict_of_series_overlapping_monthly_period_indexes(self):