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: 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"
- Decrypting file in read_csv
- ENH: Add a parameter in rolling() to control the min_periods behaviour for timeindex DataFrame with NaNs
- API: Breaking Changes in 3.0 (without deprecations)
- BUG: _repr_*_ methods should not iterate over Sequence when dtype=object
- BUG: Confusing error message when clipping datetimes
- Docs
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