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: 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
- BUG: lossed millisecond precision of data by "pandas.io.sql.to_sql"
- DOC: Categorical "Memory Usage" uses nbytes instead of `memory_usage(deep=True)`
- DOC: warning against use of .values should show difference compared to to_numpy()/array
- Docs
- Python not yet supported