pandas
https://github.com/pandas-dev/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
- ENH: Add `dt.components` for datetime64 arrays. Make `dt` more consistent between `datetime` and `timedelta`.
- BUG: groupby.rolling.cov/corr(other) with len(group) != len(other) introduces extra NaN group results
- BUG: `groupby(...).agg()` with numpy transformations do not raise "Must produce aggregated value"
- BUG: Confusing error message when clipping datetimes
- ENH: allow schema to be a dict in to_parquet
- PERF: strftime is slow
- BUG: dtypes cast when reading JSON
- ENH: pandas.DataFrame.attrs
- BUG: groupby(..., dropna=False).filter() never includes rows with NaNs in the index
- BUG: Inconsistency between behavior of cumsum when applied directly, and when applied within groupby.
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- Python not yet supported