jorisvandenbossche commented on PR #35656:
URL: https://github.com/apache/arrow/pull/35656#issuecomment-1583106826
For the tz aware update, that also influences the (currently untested)
to_numpy behaviour, which you can test with the following change:
```diff
--- a/python/pyarrow/tests/test_array.py
+++ b/python/pyarrow/tests/test_array.py
@@ -211,9 +211,10 @@ def test_to_numpy_writable():
arr.to_numpy(zero_copy_only=True, writable=True)
[email protected]('tz', [None, "UTC"])
@pytest.mark.parametrize('unit', ['s', 'ms', 'us', 'ns'])
-def test_to_numpy_datetime64(unit):
- arr = pa.array([1, 2, 3], pa.timestamp(unit))
+def test_to_numpy_datetime64(unit, tz):
+ arr = pa.array([1, 2, 3], pa.timestamp(unit, tz=tz))
expected = np.array([1, 2, 3], dtype="datetime64[{}]".format(unit))
np_arr = arr.to_numpy()
np.testing.assert_array_equal(np_arr, expected)
```
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