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: can't round-trip non-nano Timestamp
- BUG: aggregations.pyx importing signbit() and sqrt()
- ENH: Include `df.attrs` in `to_json` output
- BUG: Removed too much from the MSVC workaround
- Pandas `groupby(...).apply(f)` amplifies TypeError exceptions.
- df.to_sql() Tables cannot be truncated or dropped using .execute() function
- PERF: Serialized `string[pyarrow]` data larger than `object`
- API: parsing Timestamp("2014Q2")
- BUG: Various pandas.api.types.is_*_dtype functions fail with ExtensionDtype as an argument
- DOC: Extra float values appear after resampling in column used by groupby
- Docs
- Python not yet supported