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
- DOC: Example missing in pandas.DataFrame.to_html
- BUG: COO matrices are copied and converted
- QST/DOC: (How) should downstream libraries use native/nullable dtypes?
- BUG: DataFrame.set_axis() and rename_axis() fail if allows_duplicate_labels=False
- BUG: resampling with origin='end_day' raises ValueError: Values falls before first bin
- BUG: Even though ``dropna=True``, ``Series.value_counts()`` with arguments ``normalize=True`` and ``bins=Union[int,IntervalIndex]``, it still counts ``pd.NA`` values.
- ENH: Add `dt.components` for datetime64 arrays. Make `dt` more consistent between `datetime` and `timedelta`.
- CI: Flaky ResourceWarning('unclosed file <_io.BufferedRandom ...
- BUG: groupby.rolling.cov/corr(other) with len(group) != len(other) introduces extra NaN group results
- BUG: `groupby(...).agg()` with numpy transformations do not raise "Must produce aggregated value"
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- Python not yet supported