psavalle opened a new issue, #3839:
URL: https://github.com/apache/iceberg-python/issues/3839
### Feature Request / Improvement
For time partitioning, we can express time range expressions and they lead
to partition pruning when planning an Arrow scan:
```py
scan = table.scan(
row_filter=And(
GreaterThanOrEqual("event_ts", start),
LessThan("event_ts", end),
)
)
arrow_table = scan.to_arrow()
```
It would be useful to be able to filter by other hidden partitioning
transforms, such as buckets -- e.g. filtering on `bucket[16](user_id) in {0, 1,
2, 3}`, and getting partition pruning whenever possible based on the underlying
table partitioning specs.
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