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: High overhead in DataFrame.apply(raw=True) due to np.apply_along_axis
- PERF: Vectorize string column validity mask and offsets calculations in Interchange Protocol
- BUG: Fix resampling with CustomBusinessDay/BusinessDay and closed='right'
- BUG: CustomBusinessMonthBegin and CustomBusinessMonthEnd type signatures are missing the calendar and weekmask keyword arguments
- PERF: Pure Python loops when calculating validity masks and offset arrays in Interchange Protocol
- PERF: High overhead in DataFrame.apply(raw=True) due to np.apply_along_axis
- BUG: unstack CoW-aliasing untracked for tz-aware/period columns (GH#65748)
- BUG: date_range/bdate_range with periods drops entries for sparse CustomBusinessDay (GH#65604)
- BUG: DataFrame.loc setitem-with-expansion writes dict keys instead of aligned values (GH#42099)
- BUG: pivot_table margins corrupts distinct parameterized EA dtype values (GH#55484)
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- Python not yet supported