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
- PERF: Optimize CSV categorical parsing when categories are known
- BUG: Fix groupby pct_change with freq, clean up GH#23918 xfail
- BUG: Index repr attributes now wrap to respect display.width
- BUG: Categorical repr values line now respects display.width
- PERF: restore kh_get before kh_put in hashtable operations
- CLN: move empty-array handling from bottleneck_switch into individual nanops functions (GH#18976)
- PERF: Use DataFrame-level reductions in DataFrame.agg with list of funcs
- DOC: clarify object-dtype ndarray inference in Index and Series
- BUG: Fix DataFrame.eval to return scalar for string literal with `in/not in` operators
- BUG: fix FloatingArray.astype(str) crash with distinguish_nan_and_na=True
- Docs
- Python not yet supported