polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- `concat_arr` should cast its expressions to their supertype like `concat_list`
- read_delta does not support absolute file:// paths in delta lake table log entries
- is_in raises TypeError when comparing column with a list of enums since 1.28.0
- Rolling map with a lambda function fails quietly during debug in Vs Code.
- `ValueError` when calling `from_arrow` on iterable with empty `pyarrow.Table`
- Describe : add shortest, longest, avg/max/min length,field type etc..
- Inconsistent behaviour of `strict` for mixed data types dataframe creation
- Inconsistent `bitand` behavior between Series and expression contexts with UInt64/Int128
- Add support for initializing series from typed pandas arrays
- Adding timedelta to `datetime[ns]` casts away nanoseconds
- Docs
- Rust not yet supported