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: Cleanup tests from numeric_only / nuisance deprecation
- REGR: Index.astype(<numpy string dtype>) started failing
- PERF: Indexes with arrow arrays covert the arrays to numpy object arrays, and that's very slow
- BUG: `DataFrame.dtypes` doesn't include backend for `string` columns
- BUG: `string[pyarrow]` dtype doesn't roundtrip through `pyarrow`
- ENH: KeyError from missing column should list available columns
- BUG: AttributeError: CompileError object has no attribute orig
- DEPR,VIS: remove custom matplotlib code
- ENH: add Categorical.to_array CategoricalAccessor.to_array and CategoricalIndex.to_array
- TST: automatically skip SQL tests if no database is set up
- Docs
- Python not yet supported