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: Adding or multiplying a pandas nullable dtype Series with a pyarrow dtype Series raises TypeError
- BUG: ./ci/code_checks.sh fails in local dev environment
- Default string dtype (PDEP-14): naming convention to distinguish the dtype variants
- BUG: groupby.first() with None values fills None value with next row
- BUG: `pd.Arrays.SparseArray` warning inconsistencies when contained in a `pd.DataFrame` (potential false positive)
- BUG: Forcing an int dtype on DataFrame construction raises an odd error
- ADMIN: Upgrade to mailman 3
- BUG fix where inconsistency between inplace=True and inplace=False #57083
- DOC: Enforce Numpy Docstring Validation | pandas.api.types
- Allow StringArray[python] to be backed by numpy StringDType in numpy 2.0
- Docs
- Python not yet supported