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: Only 16 decimal places can be retained while reading values with more than 16 decimal places from CSV files
- BUG: Unexpected behaviour in .loc method when looking for "None" values
- BUG: Adding pyarrow column to missing column changes to NaN in DataFrame addition
- DOC: CoW and chained assignments: add solution
- google colab docs for pandas has been added
- BUG: PyArrow-backed datetime index missing numpy-like attributes
- DEPR: Series.round and Series.clip on non-numeric and non-object dtypes
- BUG: pd.read_json fails with "Value is too big!" on large integers, while json.load + DataFrame works
- BUG: pd.read_sql returns fewer rows than manual cursor execution for the same query and connection
- BUG: pd.to_numeric Segmentation fault (#63650)
- Docs
- Python not yet supported