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: Implement MultiIndex.insert_level for inserting levels at specified positions
- BUG: for ordered categorical data implements correct computation of kendall/spearman correlations
- BUG: setting item to iterable with .at fails when column doesn't exist or has wrong dtype
- ENH: Consistent NA handling in `unique()`, and `nunique()`
- BUG: DataFrame.min with skipna=True raises TypeError when column contains np.nan and datetime.date
- BUG: Performance issue with fillna() after merging DataFrames
- BUG: Inconsistency when converting week PeriodIndex into DatetimeIndex with astype("datetime64[ns]")
- BUG: DataFrame.dtypes.to_json OverflowError: Maximum recursion level reached
- ENH: merge_asof threshold minimum
- ENH: Enable nsmallest/nlargest on object dtype
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