polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- TypeError: len() of unsized object when calling pl.from_dicts() with numpy 0-dim array
- Inconsistent handling of string arguments: literals as `pl.lit` vs. column names as `pl.col`
- fix: Respect named CSV "null_values" with `new_columns` and `with_column_names`
- `list.gather` annotation does not include `str` as column name for `indeces`, although it works at runtime.
- Parquet writer: dictionary-encodes high-cardinality columns where plain is much smaller; no way to opt out per column
- fix(io): clear scratch buffer in scientific decimal_comma float CSV serializer (#29641)
- Performance regression in 2.0.0
- wrap_numerical=True saturates floats at the dtype maximum
- write_database writes in wrong columns when dataframe columns have different creation order
- `diff(n, null_behavior="drop")` panics when the input is shorter than `n`
- Docs
- Rust not yet supported