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: test_on_offset_implementations failing on WASM on CI
- BUG: Creation of UInt64 column with 18446744073709551615 throws RuntimeWarning
- BUG: Incorrect logical operation between pandas dataframe and series
- PERF: index.unique much slower than get_level_values.drop_duplicates
- BUG: rowspan in read_html failed
- BUG: `pprint_thing(..., quote_strings=True)` fails for strings with embedded single-quotes
- PERF: `dropna` with `SparseArray` experiments a much worse time complexity
- String dtype (2.3.x): avoid downcasting object to string in fillna/where/interpolate
- [backport 2.3.x] TST (string dtype): un-xfail string tests specific to object dtype (#59433)
- DOC: Document attributes of Timedelta #59698
- Docs
- Python not yet supported