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
- read_sas fails due to unclear problems in SAS dataset
- qcut doesn't always properly distribute across bins
- Non-inclusive partial string indexing on DatetimeIndex
- No way with to_json to write only date out of datetime
- API: merge will cast keys to min dtype, rather than upcast for mixed (integer) dtypes
- ENH: new interpolate kwarg to skip gaps
- PERF: Implement date_range for business day in terms of daily
- ENH: add expanding window time support
- Suggestion: changing default `float_format` in `DataFrame.to_csv()`
- DOC: add section on Interval
- Docs
- Python not yet supported