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: NaT.timestamp() should return nan and implement Series.dt.timestamp()
- BUG: Partially incorrect results when using a custom indexer for a rolling window for max and min
- BUG: MultiIndex with IntervalIndex level fails when indexing into interval with inf
- BUG: hash_pandas_object ignores column name values
- BUG: `loc` with `MultiIndex` as index is returning incorrect `Index`
- BUG/DOC: Styler `apply`/`format` do not accept callable `subset`
- ENH: `.pipe()` on `DataFrameGroupBy`
- ENH: Add duplicate="ignore" to pd.cut
- BUG: Different types of group keys when grouping over one or multiple columns
- BUG: Pandas's ujson module incorrectly returns None when it reads NaN.
- Docs
- Python not yet supported