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: groupby/apply reuses the index which causes weird behavior
- ENH: Arithmetic operations on intervals
- API/DEPR: SparseArray constructor usability
- BUG: negating pd.Na and `None`
- BUG: pandas.read_sql missing table schema input
- ENH: rolling rank followups
- BUG: `pd.to_numeric` has an inconsistent behavior for `datetime` objects
- BUG: Dataframe.pivot with multiple `values` columns does not preserve dtype of numeric columns
- BUG: dtype changes when row passed to a function via DataFrame.apply()
- BUG: groupby(Grouper) with all-NaT grouping keys
- Docs
- Python not yet supported