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
- CI: add minimal requirements file
- API/PERF: Don't reorder categoricals when grouping by an unordered categorical and `sort=False`
- ENH: Improved `CategoricalDtype` subtype handling.
- 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
- API: Specify the behaviour for operating on empty objects
- BUG: `pd.Grouper` creates empty groups (and in doing so is inconsistent with `groupby`) with `pd.DatetimeIndex`
- Pandas string dtype needs from NumPy - prototyping & plan of attack
- API: Consistent handling of duplicate input columns
- BUG: Grouper: Origin param has no effect
- Docs
- Python not yet supported