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: 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
- BUG: Weird Behavior of astype(bool) for np.nan
- ENH: Add rolling.prod()
- BUG: `Series.replace` converts `np.nan` into `pd.NaT` implicitly
- ENH: allow `convert_css` in `Styler.to_latex` to parse css classes set with `set_td_classes` and `set_table_styles`
- DEPR: parse dates with `pyarrow` when `engine='pyarrow'` is specified
- ENH: improve `Period` parsing
- Docs
- Python not yet supported