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
- BUG: `.convert_dtypes(dtype_backend="pyarrow")` strips timezone from tz-aware pyarrow timestamp Series
- BUG/API: sum of a string column with all-NaN or empty
- ERR: consistent error messages for unsupported setitem values
- TST: test_on_offset_implementations failing on WASM on CI
- BUG: Incorrect logical operation between pandas dataframe and series
- PERF: index.unique much slower than get_level_values.drop_duplicates
- PERF: `dropna` with `SparseArray` experiments a much worse time complexity
- ENH: "stripna" for dropping leading or trailing NaNs
- ENH: Add `area_limit` to `fillna
- BUG/API: preserve dtype in Index `append()`
- Docs
- Python not yet supported