polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Triage Issues!
When you volunteer to triage issues, you'll receive an email each day with a link to an open issue that needs help in this project. You'll also receive instructions on how to triage issues.
Triage Docs!
Receive a documented method or class from your favorite GitHub repos in your inbox every day. If you're really pro, receive undocumented methods or classes and supercharge your commit history.
Rust not yet supported14 Subscribers
Add a CodeTriage badge to polars
Help out
- Issues
- Use parquet statistics when collecting column statistics from scanned parquet
- Excessive Memory Consumption During Rolling Operations on Large DataFrames
- `dt.total_nanoseconds` and `dt.total_microseconds` may overflow silently
- exception thrown if converting chunked arrow Table with struct and dictionary columns to polar Dataframe
- Align decimals (Int128) during IPC writes to enable zero-copy reads
- 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
- Docs
- Rust not yet supported