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
- TST: mutation testing results (possible tests to add)
- DISC: Supporting numpy StringDType in Pandas
- BUG: DataFrame.convert_dtype(convert_integer=True) with int64_t limits throws Warning
- BUG: `read_html` does not properly structure some html table elements (possible `rowspan` or `colspan` issues)
- DOC: Incorrect Source Link
- BUG: `np.where` called with `ps.Series` returns `np.array` instead of `pd.Series`
- BUG: incorrect assumption of full-name month format when "May" is initial month
- BUG: Series.str.split broken with pyarrow strings and regex argument
- ENH: GroupBy.transform should accept similar arguments to GroupBy.agg
- BUG: .loc with DateTimeIndex allows day first string for stop in slice, but not start
- Docs
- Python not yet supported