WillAyd opened a new issue, #41268:
URL: https://github.com/apache/arrow/issues/41268
### Describe the bug, including details regarding any error messages,
version, and platform.
```python
>>> pa.array(["2024-01-01 05:00:00"]).cast(pa.timestamp("s"))
<pyarrow.lib.TimestampArray object at 0x7c6c794463e0>
[
2024-01-01 05:00:00
]
>>> pa.array([datetime.datetime(2024, 1, 1, 5, 0,
0)]).cast(pa.timestamp("s"))
<pyarrow.lib.TimestampArray object at 0x7c6c79444b80>
[
2024-01-01 05:00:00
]
>>> pa.array([datetime.datetime(2024, 1, 1, 5, 0,
0)]).cast(pa.timestamp("s", "UTC"))
<pyarrow.lib.TimestampArray object at 0x7c6c7956d720>
[
2024-01-01 05:00:00Z
]
>>> pa.array(["2024-01-01 05:00:00"]).cast(pa.timestamp("s", "UTC"))
ArrowInvalid: Failed to parse string: '2024-01-01 05:00:00' as a scalar of
type timestamp[s, tz=UTC]: expected a zone offset. If these timestamps are in
local time, cast to timestamp without timezone, then call assume_timezone.
```
I'm having a hard time figuring out the best way to construct timezone aware
arrays from strings instead of Python datetime objects. Based off the pattern
set by the first 3 examples above it seems like a bug that the fourth does not
work?
### Component(s)
Python
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