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
- Decrypting file in read_csv
- ENH: Add a parameter in rolling() to control the min_periods behaviour for timeindex DataFrame with NaNs
- API: Breaking Changes in 3.0 (without deprecations)
- BUG: _repr_*_ methods should not iterate over Sequence when dtype=object
- BUG: Confusing error message when clipping datetimes
- TST: add option for checking attrs in testing
- ENH: allow schema to be a dict in to_parquet
- PERF: strftime is slow
- BUG: `pd.infer_freq` for quarterly with wrong offset?
- BUG: Incorrect factorization for ordinal vs nominal variable
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