pandas
https://github.com/pandas-dev/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
- ENH: IntervalIndex as groups in groupby
- ENH: Add argument "multiprocessing" to DataFrame.apply() method (any axis)
- ERR: DataFrame.fillna with non-unique mapping
- QST: Does pandas merge guarantee that row order is preserved from both tables, even if duplicate keys exist?
- ENH: Pluggable SQL performance
- REF: NumericIndex.union determine casting dtype using concat logic
- ENH: date_format or date_unit in to_dict
- API Consistency: validations on no-ops
- ENH: pandas.Timestamp.round infer correct timezone around DST
- ENH: date_format and datetime_format for writing to ODS
- Docs
- Python not yet supported