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
Triage Issues!
When you volunteer to triage issues, you'll receive an email each day with a link to an open issue that needs help in this project. You'll also receive instructions on how to triage issues.
Triage Docs!
Receive a documented method or class from your favorite GitHub repos in your inbox every day. If you're really pro, receive undocumented methods or classes and supercharge your commit history.
Python not yet supported962 Subscribers
Add a CodeTriage badge to pandas
Help out
- Issues
- QST/DOC: (How) should downstream libraries use native/nullable dtypes?
- 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`.
- 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"
- ENH: Add a parameter in rolling() to control the min_periods behaviour for timeindex DataFrame with NaNs
- BUG: _repr_*_ methods should not iterate over Sequence when dtype=object
- BUG: Confusing error message when clipping datetimes
- TST: add option for checking attrs in testing
- Docs
- Python not yet supported