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: Up-Resample data with PeriodIndex has unexpected behavior
- BUG: groupby.apply result doesn't have consistent shape for single vs multiple group cases
- BUG: Dataframe.groupby.apply misplaces Index within object
- BUG: interpolate method with 'index' and 'slinear' methods give inconsistent results when there are duplicates in x-axis
- ENH: col descriptions that'd save in df schemas, helping users avoid creating separate documentation?
- BUG: GroupBy.transform() unexpectedly coerces columns to object dtype when there is another object dtype column
- BUG: DataFrameGroupBy.transform unnecessarily coerces dtype
- BUG: applying value_counts to a column of a grouped dataframe results in inconsistent output types
- TYP: Improve typing on pandas.core.algorithms.duplicated()
- BUG: Pandas loc can result in ambiguous result not caught by an exception
- Docs
- Python not yet supported