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: Optimize Series.apply User-Defined Functions (UDFs) via JIT Compilation Engine Option
- PERF: Skip full array allocation in RangeIndex.isin for small query inputs
- BUG: merge key dtype differs between symmetric how='left'/how='right' calls
- PERF: High overhead in DataFrame.apply(raw=True) due to np.apply_along_axis
- BUG: Fix resampling with CustomBusinessDay/BusinessDay and closed='right'
- DEPR: read_feather
- BUG: pivot_table with margins=True and dict aggfunc containing a list of functions
- ENH: Enable LSan in CI
- BUG: Fix NaN validity mask synchronization in FloatingArray and to_numeric (#63732)
- BUG: to_html with render_links=True and escape=True does not escape the href attribute
- Docs
- Python not yet supported