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
- Index.droplevel when names are tuples
- Repeated level indexes/names make reset_index() and others misbehave
- RecursionError when using pd.eval with numexpr on all None object series
- BUG: to_records() fails for empty MultiIndex
- Release automation
- Correlation inconsistencies between Series and DataFrame
- DataFrame groupby.aggregate.to_dict() to JSON-compatible nested dict or list
- BUG: Series(DTI/TDI) loses the frequency information from original DTI/TDI
- pd.eval() produces incorrect value for 'exp()'
- str.cat should return categorical data for categorical caller
- Docs
- Python not yet supported