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 indices in `GroupByRolling` when selecting or not selecting subset of columns
- BUG: provide better error message for pd.Timedelta - pd.Series[Timestamp]
- ENH: Option to configure line wrapping for columns
- ENH: In pandas.testing.assert_frame_equal, support per-column configuration
- BUG: import has error
- BUG: subtracting datetime series from datetime dataframe, or datetime dataframe from datetime series, raises TypeError or UFuncTypeError
- BUG: OverflowError: value too large to convert to int when manipulating very large dataframes
- BUG: read_json silently ignores the dtype when engine=pyarrow
- BUG: Incorrect float32/float64 comparison result
- ENH: support the Arrow PyCapsule Interface on pandas.Series (export)
- Docs
- Python not yet supported