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
- NumPy/object fallbacks in Arrow-backed arrays
- DOC: correct crosstab Notes on Categorical handling with dropna
- DOC: Notes of `pd.crosstab` contradicts Examples on Categorical handling
- DOC: fix docstring parameter names that do not match the signature
- BUG: Inconsistent date time handling with serialized data
- BUG preserve original values for Python parser converters
- BUG preserve non-string columns in JSON table roundtrip
- BUG: cumsum/cumprod raises ArrowInvalid: overflow on integer ArrowDtypes instead of upcasting
- BUG: memory_usage(deep=True) under-reports by ~4x for arrow-backed string Index once the engine is built
- TST: cover surviving mutants from GH#58517 in tz_localize, reset_index, and reindex
- Docs
- Python not yet supported