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: 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
- ENH: add new method `DataFrame.repeat`
- BUG: to_clipboard() incorrectly claims I have specified a non-single character separator in excel mode.
- BUG: Index.union with both bools and ints, duplicates
- BUG: test_constructor_does_not_cast_to_float fails on aarch64, armv7 and armv6
- Docs
- Python not yet supported