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
- from_records should order dict columns similar to constructor and from_dict like pandas < 0.23
- Reading SAS time variables
- BUG: df.sum() of string columns depends on whether or not they can be coerced to numbers
- Feature: Qcut when passed labels and duplicates='drop' should drop corresponding labels
- BUG: dataframe.eval() throws error when using @function if numexpr package is installed
- API: Standardize usage of underscores in multi-word kwargs
- Dtype inconsistency when appending to empty dataframe
- API/DOC: clean up DataFrame.groupby.apply
- BUG: Weird console formatting defaults
- ENH: unify signature for df.update and Series.update
- Docs
- Python not yet supported