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: subtracting datetime series from datetime dataframe, or datetime dataframe from datetime series, raises TypeError or UFuncTypeError
- BUG: Incorrect float32/float64 comparison result
- ENH: support the Arrow PyCapsule Interface on pandas.Series (export)
- BUG: Resampling to `"B"` frequency with `closed="right"` and `label="right"` adds empty bins
- ENH: Add Float128 support for groupby.
- BUG: Large XML files on Windows trigger false Encoding error
- BUG: `isna` on pyarrow backed Series is returning Series with `bool` dtype instead of `bool[pyarrow]`
- BUG: Series.gt (and other comparison methods) can fail with dtype=object
- ENH: support for non-nanosecond precision in pd.Timedelta
- ENH: read_xml handling of bad lines
- Docs
- Python not yet supported