paleolimbot commented on PR #431:
URL: https://github.com/apache/arrow-nanoarrow/pull/431#issuecomment-2067530671
> Users might want to influence how for example a map or interval type is
converted to python)
Right now that's a little awkward, but possible:
```python
import nanoarrow as na
import pyarrow as pa
from nanoarrow import iterator
import decimal
decimals = pa.array([decimal.Decimal("1.234")], pa.decimal128(10, 3))
class CustomIterator(iterator.PyIterator):
def _decimal_iter(self, offset, length):
for item in super()._decimal_iter(offset, length):
yield None if item is None else float(item)
list(CustomIterator.get_iterator(decimals))
#> [1.234]
```
> I personally would punt on this problem of custom conversion for now
Agreed! I think I've scoped it now to the basic usage of `if
schema.extension and schema.extension.name == ...`.
> (we don't even support this in pyarrow at the moment)
I'm not sure exactly where it is used, but you can add a custom `Scalar`
subclass that overrides `as_py()`?
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