# Polars 1.34.0-beta.1 — Python Polars 1.34.0-beta.1

- Product: Polars (https://whatsnew.fyi/product/polars)
- Vendor: Polars
- Date: 2025-09-23
- Version: 1.34.0-beta.1
- Original notes: https://github.com/pola-rs/polars/releases/tag/py-1.34.0-beta.1
- Permalink: https://whatsnew.fyi/product/polars/releases/1.34.0-beta.1
- Labels: Pre-release

What's New is an index, not a publisher: every entry below links to the vendor's own release notes, which are the authoritative source. Entries are labelled where they are hand-curated sample data, pre-releases, or drawn from a secondary source such as a developer blog.

Reuse: the summaries, labels and curation here are © What's New. Quote freely with attribution and a link back; wholesale republication of the corpus is not permitted — terms: https://whatsnew.fyi/terms. The vendors' own release notes remain their publishers'.

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- **added** — Add LazyFrame.sink_batches and LazyFrame.collect_batches
- **added** — Add support to display lazy query plan in marimo notebooks without needing to install matplotlib or mermaid
- **added** — Add unstable hidden_file_prefix parameter to scan_parquet
- **added** — Add support for unsigned 128-bit integers
- **added** — Add unstable pl.Config.set_default_credential_provider
- **added** — Add opt-in unstable functionality to load interval types as Struct
- **added** — Support reading parquet metadata from cloud storage
- **added** — Support unique / n_unique / arg_unique for array columns
- **changed** — Use fixed-scale Decimals
- **changed** — Roundtrip BinaryOffset type through Parquet
- **changed** — Deterministic import order for Python Polars package variants
- **changed** — Skip files in scan_iceberg with filter based on metadata statistics
- **changed** — Push row_index predicate for all scan types
- **changed** — Perform integer in-filtering for Parquet inequality predicates
- **changed** — Stop caching Parquet metadata after 8 files
- **changed** — Native streaming .mode() expression
- **fixed** — Add support for float inputs for duration types
- **fixed** — Roundtrip empty string through hive partitioning
- **fixed** — Fix potential OOB writes in unaligned IPC read
- **fixed** — Fix regression error when scanning AWS presigned URL

##### 🏆 Highlights

- Add `LazyFrame.{sink,collect}_batches` (#23980)
- Deterministic import order for Python Polars package variants (#24531)

##### 🚀 Performance improvements

- Skip files in `scan_iceberg` with filter based on metadata statistics (#24547)
- Push row\_index predicate for all scan types (#24537)
- Perform integer in-filtering for Parquet inequality predicates (#24525)
- Stop caching Parquet metadata after 8 files (#24513)
- Native streaming `.mode()` expression (#24459)

##### ✨ Enhancements

- Add `LazyFrame.{sink,collect}_batches` (#23980)
- Deterministic import order for Python Polars package variants (#24531)
- Add support to display lazy query plan in marimo notebooks without needing to install matplotlib or mermaid (#24540)
- Add unstable `hidden_file_prefix` parameter to `scan_parquet` (#24507)
- Use fixed-scale Decimals (#24542)
- Add support for unsigned 128-bit integers (#24346)
- Add unstable `pl.Config.set_default_credential_provider` (#24434)
- Roundtrip `BinaryOffset` type through Parquet (#24344)
- Add opt-in unstable functionality to load interval types as `Struct` (#24320)
- Support reading parquet metadata from cloud storage (#24443)
- Add user guide section on AWS role assumption (#24421)
- Support `unique` / `n_unique` / `arg_unique` for `array` columns (#24406)

##### 🐞 Bug fixes

- Add support for float inputs for duration types (#24529)
- Roundtrip empty string through hive partitioning (#24546)
- Fix potential OOB writes in unaligned IPC read (#24550)
- Fix regression error when scanning AWS presigned URL (#24530)
- Make `PlPath::join` for cloud paths replace on absolute paths (#24514)
- Correct dtype for cum\_agg in streaming engine (#24510)
- Restore support for np.datetime64() in pl.lit() (#24527)
- Ignore Iceberg list element ID if missing (#24479)
- Fix panic on streaming full join with coalesce (#23409)
- Fix `AggState` on `all_literal` in `BinaryExpr` (#24461)
- Show IR sort options in `explain` (#24465)
- Benchmark CI import (#24463)
- Fix schema on `ApplyExpr` with single row `literal` in agg context (#24422)
- Fix planner schema for dividing `pl.Float32` by int (#24432)
- Fix panic scanning from AWS legacy global endpoint URL (#24450)
- Fix `iterable_to_pydf(..., infer_schema_length=None)` to scan all data (#23405)
- Do not propagate struct of nulls with null (#24420)
- Be stricter with invalid NDJSON input when `ignore_errors=False` (#24404)
- Implement `approx_n_unique` for temporal dtypes and Null (#24417)

##### 📖 Documentation

- Rename `avg_birthday` -> `avg_age` in examples aggregation (#23726)
- Update Polars Cloud user guide (#24366)
- Fix typo in `set_expr_depth_warning` docstring (#24427)

##### 🛠️ Other improvements

- More release scripting (#24582)
- Again a minor fix for the setup script (#24580)
- Minor fix in release script (#24579)
- Correct release python beta version check (#24578)
- Python dependency failure (#24576)
- Always install yq (#24570)
- Deterministic import order for Python Polars package variants (#24531)
- Check Arrow FFI pointers with an assert (#24564)
- Add a couple of missing type definitions in python (#24561)
- Fix quickstart example in Polars Cloud user guide (#24554)
- Add implementations for loading min/max statistics for Iceberg (#24496)
- Update versions (#24508)
- Add additional unit tests for `pl.concat` (#24487)
- Refactor parametric tests for `as_struct` on aggstates (#24493)
- Use `PlanCallback` in `name.map_*` (#24484)
- Pin `xlsvwriter` to `3.2.5` or before (#24485)
- Add dataclass to hold resolved iceberg scan data (#24418)
- Fix iceberg test failure in CI (#24456)
- Move CompressionUtils to polars-utils (#24430)
- Update github template to dispatch to cloud client (#24416)

Thank you to all our contributors for making this release possible!
@Gusabary, @Kevin-Patyk, @Matt711, @alonsosilvaallende, @borchero, @c-peters, @camriddell, @coastalwhite, @dongchao-1, @dsprenkels, @itamarst, @jan-krueger, @joshuamarkovic, @juans

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