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
- ENH: Vectorization (e.g. SIMD) in pandas' Hashtable Operations for Performance Improvement
- BLD: Add Android support
- ENH: display.timedelta_format similar to display.float_format
- PERF: use Arrow native path in duration component calculation for Arrow-backed array
- DOC: Clarify how skiprows interacts with header in read_csv
- BUG: Fix regression in is_list_like for custom sequences).
- ENH: rechunk after concat for arrow-backed array
- BUG: string regex operation with unicode escape sequence failing
- BUG: prevent float64 upcast for mixed int64/uint64 in isin function
- ENH: Utility to return "feasible" dtype for `infer_dtype` output.
- Docs
- Python not yet supported