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
- 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
- Allow broadcasting vertically a 1-dim input to pd.DataFrame(), - and document
- Surprising and inconsistent results when adding two `Series` which both contain duplicate labels.
- ENH: read_excel respect Excel text type for numbers
- Timestamp.to_period() is off-by-one for weekly frequencies
- Docs
- Python not yet supported