polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- fix(python): Apply thousands_separator to count/null_count in describe() for non-numeric columns
- Parquet predicate pushdown not working for Float columns
- `.dt.strftime("%A") brings inconsistency between CPU and GPU engine
- A `ValueError` (`CUDF failure at: invalid format specifier: #`) will occur when using `.str.strptime()` with the `invalid` column and the GPU engine
- A `ValueError` (`CUDF failure at: Format parameter must not be empty`) will occur when using `.dt.strftime("")` and the GPU engine
- Refactor parallelism in IO sources to avoid using distributor / linearize
- `min_by` / `max_by` return null when `by=` is nested type
- Invitation to provide feedback on New Parquet Encoding: Adaptive Lossless Floating Point Compression
- `replace_strict()` replaces `{"x": [None]}` while the mapping is completely different
- Version of pyo3-polars on crates.io differs from version in polars repository
- Docs
- Rust not yet supported