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
- BUG: `Series.to_json()` wraps `np.uint64` values ≥ `2**63` when stored in `object` dtype
- feat(NaN): add limit_behavior option to interpolate to skip large gaps
- BUG: Misleading error when using precompiled regular expressions with flags other than ignore case and unicode
- ENH: Enable LSan in CI
- BUG: Fix misleading ValueError in str.match with precompiled regex fl…
- BUG: interpolate leaving NAs unfilled for pyarrow dtypes
- PERF: merge_asof with by
- BUG: select_dtypes support non-nanosecond dt64/td64 units (GH#40234)
- PERF: faster to_datetime parsing of timezone-aware strings
- PERF: single-pass composite-key factorization for multi-key merges
- Docs
- Python not yet supported