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: `read_{csv,excel}(<...>, header=[0,1], index_col=[0,1])` take different `.columns.names`
- DOC: `read_{csv,excel}` skip rows (columns) above (before) header (index columns)
- API: `read_excel`: `.index.names` vs `.columns.names`
- BUG: OverflowError on DataFrame.dtypes.to_json
- pandas.pydata.org serves no /.well-known/security.txt (RFC 9116)
- 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'
- Docs
- Python not yet supported