ianmcook commented on issue #39315:
URL: https://github.com/apache/arrow/issues/39315#issuecomment-2108677475
I think this would be a very nice usability improvement.
The way PyArrow currently prints timezone-aware timestamp values can be very
confusing. For example, you might try to create a Table like this:
```py
from datetime import datetime
import pyarrow as pa
import pandas as pd
t = pa.table(
{'ts': [datetime(1969, 1, 1, 1, 1, 1)]},
schema=pa.schema([("ts", pa.timestamp("us", tz="America/New_York"))])
)
```
When you print it, it looks like the time represents the 01:01:01 EST:
```
t
## pyarrow.Table
## ts: timestamp[us, tz=America/New_York]
## ----
## ts: [[1969-01-01 01:01:01.000000Z]]
```
But upon closer inspection, it is actually representing the time 01:01:01
UTC which converts to 20:01:01 EST:
```
t["ts"][0]
## <pyarrow.TimestampScalar: '1968-12-31T20:01:01.000000-0500'>
```
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