pandas
https://github.com/pandas-dev/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: Supress `read_json` Spurious `to_datetime` FutureWarning
- BUG: assignment fails with copy_on_write = True
- API: how to check for "logical" equality of dtypes?
- API: return value of `.values` for Series with the future string dtype (numpy array vs extension array)
- [backport 2.3.x] BUG (string dtype): replace with non-string to fall back to object dtype (#60285)
- TST: Add test for x-axis labels in subplot with `secondary_y=True`
- TST (string dtype): resolve xfails for frame fillna and replace tests + fix bug in replace for string
- BUG (string dtype): let fillna with invalid value upcast to object dtype
- BUG: single column DataFrame df.apply(f, raw=True, engine='numba') failed when f is a non-reduction function
- ENH: Unique key detection function
- Docs
- Python not yet supported