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
- ENH: Optionally pass dtypes as a dict into json_normalize
- BUG: Adding `label` argument to `plot()` removes error bars
- EA interface - requirements for "hashable, value+order-preserving ndarray"
- BUG: concat_{categorical, compat} leads to erroneous result on non-ns datetime-EA
- to_pickle does not save accessor's properties
- API/DEPR: DataFrame/Series.replace is too complex.
- BUG: pd.NA acts differently when inside/outside a series/dataframe with object dtype
- Support pydata/sparse arrays in DataFrame
- API: require scalar result from the scalar .at indexer
- merge() outer with left_on column and right_index=True produces unexpected results
- Docs
- Python not yet supported