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.to_hdf function incompatible with timestamps of format "datetime64[us, UTC]"
- Added a new parameter to value_counts to keep both counts and normalized values.
- TST (string dtype): resolve xfails for frame methods
- DEPR: deprecate / warn about raising an error in __array__ when copy=False cannot be honore
- BUG (string): contruction of Series / Index fails from dict keys when "str" dtype is specified explicitly
- DOC (string dtype): update user guide page "Working with text data"
- [backport 2.3.x] TST (string dtype): clean-up assorted xfails (#60345)
- API: creating DataFrame with no columns: object vs string dtype columns?
- REF: dtype_backend argument in sql module mixes lib.no_default and numpy
- String dtype: use ObjectEngine for indexing for now correctness over performance
- Docs
- Python not yet supported