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: inconsistent return types from __getitem__ vs iteration
- BUG: set_index with pyarrow timestamp type does not produce DatetimeIndex
- Use PyWeakref_GetRef and critical section in BlockValuesRefs
- ENH: removed median percentile to be always included in describe GH #60550
- BUG: alpine 3.21 install issue
- ENH: Passing a single value to `.describe(percentiles = [0.25])` returns 25th- and 50th-percentile
- BUG: `transform("cumcount")` returns a Series instead of a Dataframe.
- Missing check if the renamed column is listed under self._convert_dates() before referring to it leads to a KeyError.
- BUG: Fix DataFrame binary arithmatic operation handling of unaligned …
- Fix KeyError by adding check for _convert_dates
- Docs
- Python not yet supported