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
- Add tests asserting that EAs shouldn't be coerced to ndarray
- Error when max with a datetime.date Series
- Automatically keep categorical type on merge
- DatetimeIndex.take() fails if index has more than max int rows
- Feature-Request: Allow lambda function with different columns in transform
- API: capabilities of df.set_index
- DataFrame.rolling.size not implemented and errors in aggregation
- DataFrame.fillna() fails with categorical columns present when trying to fill missing values in numeric columns with NaNs
- Shifting GroupBy Object with ``freq`` inserts unwanted index level
- Clarify behavior pd.Period and pd.PeriodIndex when using timestamp information
- Docs
- Python not yet supported