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
- refactor: convert internal Cython utility functions to cpdef
- PERF: Skip full array allocation in RangeIndex.isin for small query inputs
- feat: optimize RangeIndex.isin performance
- BUG: fix loc setitem with all-False boolean column indexer corrupting…
- DOC: Document `AbstractHolidayCalendar`, `Holiday`, and `JsonReader` in API reference
- PERF: Fast-path DataFrame.dropna for homogeneous single-block DataFrames
- perf: implement homogeneous single-block fast-path for DataFrame.dropna
- DEPR: Treat tuple keys consistently in Resampler.__getitem__
- DEPR: Deprecate CachedAccessor
- ENH: Native IEEE 754 infinity handling in Cython rolling aggregations
- Docs
- Python not yet supported