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: Add `unit` argument to `to_datetime` and `to_timedelta` to avoid value-dependent parsing
- DOC: Improve text for "Migrating to Copy-on-Write"
- BUG: inconsistency with missing values comparison
- DEP: Drop NumPy 1.26 support
- ENH: Add read/write support for the Vortex columnar format
- BUG: DataFrame.astype leave the dataframe extremely fragmented (one block per column)
- DOC : document pyarrow vs python string trade-offs
- DOC: document BaseMaskedDtype.from_numpy_dtype
- DOC: Add an example for .shift(suffix=)
- BUG: Inconsistent NaN detection based on Series dtype, to_numeric dtype_backend, None vs np.nan, strings in orig list
- Docs
- Python not yet supported