Wainberg commented on issue #40122:
URL: https://github.com/apache/arrow/issues/40122#issuecomment-1958763554
Makes sense! You're right that the datetime.datetimes are all the same
between base Python, pandas, Arrow and base R, they're just displayed
differently. I definitely prefer base Python and pandas's display to Arrow's
though, maybe version 16 could switch? ;)
```python
>>> pa.array([datetime.datetime(2000, 1, 1, 0, 0,
tzinfo=datetime.timezone(datetime.timedelta(hours=1)))])
<pyarrow.lib.TimestampArray object at 0x7fa7b9084280>
[
1999-12-31 23:00:00.000000
]
>>> pa.array([datetime.datetime(2000, 1, 1, 0, 0,
tzinfo=datetime.timezone(datetime.timedelta(hours=1)))]).to_pandas()
0 2000-01-01 00:00:00+01:00
dtype: datetime64[us, pytz.FixedOffset(60)]
```
For the times, I would definitely raise an error on datetime.time objects
with a non-default timezone, it seems quite dangerous to truncate the timezone
silently.
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