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: preserve mixed date and Timestamp MultiIndex levels
- BUG: assert_categorical_equal with check_category_order=False mishandles NaN (#62008)
- BUG: Fix NaN validity mask synchronization in FloatingArray and to_numeric (#63732)
- BUG: date_range crashes python process
- BUG: Fix HTML escaping for URLs in DataFrame.to_html (#66080)
- BUG: read_csv(engine="pyarrow") column-name dedup and unnamed-header handling
- BUG: read_csv(engine="pyarrow") ignores names passed with an integer header
- BUG: read_csv(engine="pyarrow") tuple names do not produce MultiIndex columns
- BUG: read_csv(engine="pyarrow") with a scalar dtype and index_col
- TST: assert pyarrow-engine read_csv behavior for by-design divergences
- Docs
- Python not yet supported