MarcoGorelli commented on issue #15047:
URL: https://github.com/apache/arrow/issues/15047#issuecomment-1592523553
Does it really fall back to pytz?
I don't have pytz installed:
```console
$ python -c 'import pytz'
Traceback (most recent call last):
File "<string>", line 1, in <module>
ModuleNotFoundError: No module named 'pytz'
```
but trying to convert `2038-04-01 09:00` from 'America/Boise' to UTC, and
I'm getting the same (wrong) result with pyarrow as I would with pandas:
```python
import pyarrow as pa
import pyarrow.compute as pc
from datetime import datetime, timezone
from zoneinfo import ZoneInfo
string = '2038-04-01 03:00:00.000000'
dt = datetime.fromisoformat(string)
dt = dt.replace(tzinfo=ZoneInfo('America/Boise'))
tz = ZoneInfo('UTC')
converted_dt = dt.astimezone(tz)
print(converted_dt)
ts = pc.assume_timezone(pa.array([datetime(2038, 4, 1, 3)]),
timezone='America/Boise')
print(ts)
```
This outputs
```python
2038-04-01 09:00:00+00:00
[
2038-04-01 10:00:00.000000
]
```
whereas I was expecting
```python
2038-04-01 09:00:00+00:00
[
2038-04-01 09:00:00.000000
]
```
Is there a way to "force" zoneinfo usage?
I think this is what's causing issues when converting polars to pandas:
https://github.com/pola-rs/polars/issues/9315
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