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
- ENH: parallelize DataFrame.corr
- ENH: Implement skiptrailingspace parameter for the read_table function
- BUG: sort_values with ascending=None and key!=None raises exception
- BUG: `DataFrame.apply` labelling index and columns asymmetrically if axis=0/1.
- BUG: `DataFrame.apply` forces consistent dtypes with `result_type="broadcast"`
- REGR: Behavior change with empty apply in pandas 1.3.0rc1
- BUG: numpy.char funcs error with string array citing non-string array.
- BUG: df.to_excel() with openpyxl engine doesn't use write-optimized mode, resulting in higher memory consumption
- API: Make 'D' & offsets.Day always operate as calendar day instead of 24 Hour
- BUG: pd.Grouper cannot be reused in some cases
- Docs
- Python not yet supported