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: use Arrow native path in duration component calculation for Arrow-backed array
- Double-Double test implementation
- DOC: Link User Guide IO from API reference
- Link merging user guide from DataFrame API docs
- TST: add regression test for linear interpolation on Int64 dtype (GH#41565)
- DOC: Clarify how skiprows interacts with header in read_csv
- Timestamp round/ceil/floor allow timedelta argument + allow timedelta strings in `to_offset`
- BUG: Fix regression in is_list_like for custom sequences).
- ENH: rechunk after concat for arrow-backed array
- DOC: Update DataFrame.stack() docstring for 3.0 deprecations
- Docs
- Python not yet supported