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
- ENH: faster fill-between interpolation
- REF: Improve Situation around `rule_code` for DateOffsets
- BUG: using at indexer reassign existing field error
- BUG: Using NamedTuples with `.iloc` fails
- TYP/DOC: importing from api.py/__init__.py
- BUG: The parameter “as_index=False” is not valid when the source DataFrame is empty
- BUG: Parsing ISO 8601 duration time components with value above 99 throws an error
- BUG: inconsistent behaviour of the method `.idxmin` between `timedelta` datatype & `int` datatypes
- BUG: pd.cut creates NaNs instead of expected bins for Timestamps. Behaviour is DIFFERENT for list and Series, with IntervalIndex and DatetimeIndex
- Unclear error statement printed when `python ./scripts/validate_docstrings.py --errors=PR02` is run
- Docs
- Python not yet supported