polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- Mean of all-null groups is NaN when group_by is partitioned
- converting pandas to Polars drops column if its name, when converted to string, matches another column's name
- pl.format should be clear it will return null when one of the arguments is null
- Polars assumes microseconds instead of reading numpy timedelta units
- `pl.Datetime` `time_zone` parameter has no type or value check
- `read_database` does not respect data type when all values are null (but `read_database_uri` does)
- partition_by on LazyFrame
- group_by_dynamic with offset computes wrong window starts when a DST time change happens just before the 1st window
- `selectors` should support slicing columns
- It is not possible to concatenate arrays of different data types.
- Docs
- Rust not yet supported