pandas
https://github.com/pandas-dev/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: merge_asof error says "tolerance must be positive" but accepts tolerance=0
- BUG: Fix KeyError in pivot_table with margins=True and dict aggfunc
- BUG: Float64 vs float64 incorrect result when using empty slice
- PERF: Skip full array allocation in RangeIndex.isin for small query inputs
- BUG: merge key dtype differs between symmetric how='left'/how='right' calls
- BUG: precise_xstrtod no longer loses digits for leading-zero numbers
- PERF: High overhead in DataFrame.apply(raw=True) due to np.apply_along_axis
- BUG: Fix resampling with CustomBusinessDay/BusinessDay and closed='right'
- PERF: High overhead in DataFrame.apply(raw=True) due to np.apply_along_axis
- PERF: default read_csv parallel workers to available physical cores
- Docs
- Python not yet supported