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: read_csv with pyarrow engine fails with skiprows option
- DOC: xlsx and ods support unclear in ExcelWriter
- ENH: Improved `CategoricalDtype` subtype handling.
- ENH: df.compare should have tolerances
- ENH: Remove ArrowStringArray and StringDtype("pyarrow")
- BUG: groupby doesn't distinguish between different kinds of null values
- ENH: Support masked ExtensionTypes when using `engine="numba"`
- BUG: Calling sample() on an empty GroupbyDataFrame returns ValueError instead of an empty DF
- ENH: `df.join` should not convert int32 to float but instead `pd.Int32Dtype` when introducing NaN
- DOC: Improve documentation of kwargs for NumPy compatibility
- Docs
- Python not yet supported