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: fix NaN identity check in Categorical.map
- DOC: Clarify NA normalization behavior for StringDtype
- Fix PeriodIndex.is_full for duplicate periods
- BUG: Preserve StringDtype in where with list-like other
- BUG: segfault in test when using pandas with freezegun
- DEPR: unit->input_unit in to_datetime, to_timedelta
- BUG: Avoid precision loss for large integral Decimal values in read_sql with coerce_float=True
- ENH: Officially support Timedelta arguments in Timestamp.round/floor/ceil (GH#63687)
- RLS: 3.0.x releases
- BUG: Preserve ExtensionDtype in DataFrame arithmetic with missing columns
- Docs
- Python not yet supported