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
- DateParseError on bar plot
- DataFrame.interpolate() is not equivalent to scipy.interpolate.interp1d
- DOC/VIS: plotting on current figure/axis with Series/DataFrame.plot()
- `to_sql` dies on columns with closed parens
- ENH: HTML formatting for Series in Jupyter notebook
- get start and end of regex match in dataframe
- Formatting dates & timestamps
- API/ENH: idxmax groupby API
- ENH: support Categorical hist plotting
- DOC/API: document how to use metadata
- Docs
- Python not yet supported