jorisvandenbossche commented on issue #41266:
URL: https://github.com/apache/arrow/issues/41266#issuecomment-2063171837
> But it doesn't seem like you can do anything with this object really. Just
trying to print it will yield:
I think it is actually _only_ the conversion to a datetime.date object that
doesn't work, and as a side-effect also the printing of a scalar which relies
on that (or conversion to pandas). Most other functionality should work
normally (pretty printing of the array, all generic array operations, casting,
datetime related kernels, etc)
```
>>> old_date = pa.scalar(-1_000_000, type=pa.date32())
>>> arr = pa.array([old_date])
>>> arr
<pyarrow.lib.Date32Array object at 0x7f06641d11e0>
[
-0768-02-04
]
>>> arr.cast(pa.timestamp("s"))
<pyarrow.lib.TimestampArray object at 0x7f0664a2f880>
[
-0768-02-04 00:00:00
]
>>> import pyarrow.compute as pc
>>> pc.year(arr)
<pyarrow.lib.Int64Array object at 0x7f065c2d3580>
[
-768
]
```
But yes, given that we can pretty-print such values, we shouldn't rely on
the to-python-object conversion for the repr of the scalar.
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