pitrou commented on issue #47400:
URL: https://github.com/apache/arrow/issues/47400#issuecomment-3233661564
I think we can follow Pandas' lead where days and larger units are
considered logical while hours and smaller units are considered physical:
```python
>>> begin
Timestamp('2025-03-08 09:30:00-0500', tz='America/New_York')
# Logical calendar addition
>>> begin + pd.DateOffset(days=2)
Timestamp('2025-03-10 09:30:00-0400', tz='America/New_York')
>>> begin + pd.DateOffset(months=1)
Timestamp('2025-04-08 09:30:00-0400', tz='America/New_York')
# Physical duration addition
>>> begin + pd.DateOffset(hours=48)
Timestamp('2025-03-10 10:30:00-0400', tz='America/New_York')
>>> begin + pd.DateOffset(seconds=48*3600)
Timestamp('2025-03-10 10:30:00-0400', tz='America/New_York')
```
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