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
- TST: also convert str index to object in pyarrow->pandas conversion for infer_string=0 CI
- DOC: improve Series.map examples
- BUG: Categorical.map with defaultdict replaces NA with NaN
- BUG: wrong results with numexpr multiplication
- PERF: skip to_datetime cache=True overhead for input shapes where it cannot help
- PERF: Replace dateutil-based parser fallback with a regex-based parser in tslibs.parsing
- PERF: cache BlockManager.get_dtypes() result
- BUG: Timedelta.total_seconds drops sub-microsecond nanosecond component
- PERF: skip redundant Index.equals calls in pd.concat
- PERF: speed up to_offset string parsing
- Docs
- Python not yet supported