pandas
https://github.com/pydata/pandas
Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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- Issues
- Writing data to mysql database using df.to_sql method gives exception
- BUG: Errors using pyarrow datetime types on windows
- BUG: Pandas Series with Xarray slow print time.
- ENH: Function‑scoped bad‑line callback for read_csv that provides line_number (immediate per‑row handling without global side‑effects)
- BUG: pd.api.types.is_signed_integer_dtype(np.floating) throws TypeError
- BUG: ArrowEA.astype to categorical returning all-NaT
- BUG: resampling with origin=end_date includes extra elements in the bucket
- BUG: writing categorical of intervals (pd.cut() output) to Parquet is not supported
- CI: Enable GitHub Actions CI for ppc64le (Power architecture) support
- ENH: Add support for the standard library `compression.zstd` in Python 3.14
- Docs
- Python not yet supported