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: Modifying values of a dataframe using lower level MultiIndex columns causes silently casting them to float64
- ENH: errors='ignore' should work for record_path for pandas.json_normalize function
- ENH: GroupBy.get_group should accept lists with multiple grouping keys
- BUG: date_format and datetime_format arguments to ExcelWriter are currently ignored by default openpyxl engine
- BUG: DataFrame.drop() fails when `columns=` is given as tuple
- BUG: `DataFrame().to_parquet()` does not write Parquet compliant data for nested arrays
- BUG: Unable to set StringArray for DataFrame with single column and dtype string
- ENH: `DataFrame.astype(dtype: dict)` should work in the presence of superfluous keys.
- ENH: Feature Request for Ungroup Method for Grouped Data Frames
- BUG: to_numeric str to float has missing digit precision
- Docs
- Python not yet supported