polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- `read_csv` fails schema inference when `schema_overrides` is a tuple or dict instead of a list
- feat: Add `concat` method to `arr` namespace
- Group_by on a literal and agg len returns a surprising result for a dataframe without columns
- fix: Accept general `Sequence` and `Mapping` for `schema_overrides` parameter in `read_csv`
- fix(python): Fix `read_excel` and `read_ods`'s `sheet_name` type hint not using `typing.Sequence`
- Lazy operations wtih numpy float produce nulls
- fix(python): Fix `tuple[type]` being used instead of `tuple[type, ...]` in type hints
- (rust) fails compiling with lazy feature str::from_utf8(bytes)
- fix: Upsample to return group values in group_by
- `read_parquet` and `scan_parquet` with multiple files and `missing_columns="insert"` fails depending on file order
- Docs
- Rust not yet supported