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: merge_asof with "how” functionality
- ValueError: Usecols do not match columns, columns expected but not found: ['Col3', 'Col1']
- BUG: to_sql does not populate index column with a value when using the mssql+pyodbc engine
- BUG: to_sql does gives incorrect column name for index when callable passed in to method
- ENH: Back pd.BooleanArray with nanoarrow
- BUG: None becomes empty string when writing multiple columns to CSV, but double quotes "" when writing single columns
- BUG: DataFrame.xs multi-index drop_level=False has no effect when level= is left at default
- DataFrameGroupBy.agg with nan results into inf
- BUG: groupby.rank is not supported for large_string[pyarrow] dtype
- BUG: freq after sort values differs between arm Mac and ubuntu
- Docs
- Python not yet supported