polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- `partition_chunk_size_bytes` no longer has effect when writing partitioned Parquet
- add `get_value` in `KeyedPartitionContext`
- `is_in` incorrectly filters when column is `Datetime(ns)` and values are a list of python datetime objects
- `pl.concat(how="align_full")` errors if frame with subset of key columns exists and the number of full-key columns > 2
- Type hints for `from_arrow` / `from_pandas` returning union type `DataFrame | Series` is inconvenient
- Rolling count or improve rolling sum
- Support named placeholders in `pl.format()`
- `pl.from_dicts` does not raise an error for data not adhering to a schema when strict is True
- Add `header_column` parameter to `df.transpose()`
- Have convert_dtypes() function for dataframes
- Docs
- Rust not yet supported