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: `pd.concat` on axis "index" has unexpected result concatenating Series and DataFrame with same (column) name
- BUG: `.loc[:, 'a'] = ` is inplace when assigning Series, but not DataFrame
- BUG: DataFrame([empty EA Series]) returns NAs with dtype object
- BUG: `to_numpy` raise `ValueError: cannot convert float NaN to integer`
- BUG: inconsistency in freq of DatetimeIndex when converting PeriodIndex.to_timestamp
- BUG: expanding dataframe row-wise with single-element-list is no-op, but two-element-list copies
- API: dt64 resolution for PeriodIndex.to_timestamp
- BUG: read_csv losing precision when reading Int64[pyarrow] data with N/A values
- DOC: Note multiset-like behaviour of `Index.union` for indexes with duplicates
- BUG: assert_series_equal raising about class difference when check_exact=True
- Docs
- Python not yet supported