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
- Update compute_dict_like to get all columns
- PDEP-13: The pandas Logical Type System
- TST / string dtype: add env variable to enable future_string and add test build
- CI: fix CI failure for PDEP with status: Draft
- BUG: `read_html` does not properly structure some html table elements (possible `rowspan` or `colspan` issues)
- BUG: `groupby.agg` with `as_index=False` and duplicate columns in `by` fails with `pd.NamedAgg`.
- BUG: Assigning datetime to pa.date32() type array should raise
- BUG: `pd.concat` does not maintain `timestamp[s][pyarrow]` index type. (`MultiIndex`)
- BUG: np.bool_(False) & pd.NA gives pd.NA
- BUG: Adding two series with pd.Series.add can change the dtype in unexpected ways.
- Docs
- Python not yet supported