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
- API: make CachedAccessor public in addition to register_dataframe_accessor
- BUG: ewma with time gives strange results with adjust = False vs. True, difference is too large to make sense
- BUG: Categorical dtype in MultiIndex levels is lost during set operations (difference, union, intersection,...)
- BUG: read_csv accepts bad lines when option usecols is used
- ENH: melt into categorical column
- DOC: Methods of conditional selection
- BUG: numpy.datetime64 unit counts ignored
- REF: Avoid special-casing in core.apply
- BUG: Never end up with numpy string dtypes
- ENH: Improve assertion message for `assert_frame_equal`
- Docs
- Python not yet supported