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
- Change default string storage from "python" to "pyarrow" (if installed) for for NA-variant of StringDtype
- BUG: single column DataFrame df.apply(f, raw=True, engine='numba') failed when f is a non-reduction function
- ENH: Unique key detection function
- Ignore sharex unless subplots=True
- ENH: use '=' width in multirow with compatible column types
- BUG?: using `None` as replacement value in `replace()` typically upcasts to object dtype
- BUG: period[h] + column splicing is not work
- REF: Replace maybe_infer_to_datimelike with maybe_convert_objects
- BUG: Challenges with Nested Metadata Extraction Using pandas.json_normalize(
- BUG (string dtype): logical operation with bool and string failing
- Docs
- Python not yet supported