pandas
https://github.com/pandas-dev/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
- ENH: Respect observed=False in groupby for non-categoricals
- REGR: groupby.transform with a UDF performance
- BUG: `read_csv()` silently ignores out-of-range integers
- ENH: Export (a subset of?) pandas._typing for type checking
- ENH: Series.reset_index() should support "names" argument just like DataFrame.reset_index() does
- ENH: Support for list of formats in pd.to_datetime()
- PERF: `.iloc[:, :len(columns)+1]` in case of multiple numeric blocks works much slower since pandas 2.1.0
- ENH: `rsuffix` parameter of `pandas.DataFrame.join` should also accept list
- BUG: `df1.merge(df2, on='ds', how='outer')` not convert column `ds` to the highest resolution datetime type of the two dfs
- BUILD: pandas build failing on Gitpod due to Meson
- Docs
- Python not yet supported