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
- BUG: Wrong Custom Formatters applied when displaying trancated frames
- ENH: use EA.argmin/argmax in EA._reduce / Series.argmin/argmax
- ENH: Please provide `register_groupBy_accessor`
- BUG: pd.date_range with DST-crossing has incorrect freq attribute
- DOC: Rethink recommending eval/query in "Enhancing performance" section of user guide
- DOC: Data Editing Samples/Guide
- BUG/FEATURE: to_sql data types not reflecting types accurately
- BUG: date_range returns wrong output in some cases
- BUG: Rolling count aggregation produces unexpected results
- BUG: values-dependent reindex behavior in Groupby.apply
- Docs
- Python not yet supported