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: result_type=expand seems to behave exactly like result_type=None
- BUG: panda._testing.assert_interval_array_equal no longer checks "exact" parameter
- BUG: Incorrect result for Timestamp.ceil during clock change
- DOC: Document that result_type has an effect with axis=0, not axis=1
- BUG: joblib.hash(series_with_sorted_datetime_index) sometimes returns different values after save/load
- DOC/CLN: `how` is completely inconsistent
- BUG: `quantile` sometimes using interpolation at endpoint with datetime data
- API: Timestamp/Timedelta resolution in __repr__
- BUG?: 2D int64 block can't be cast to Int64
- ENH: Allow hierarchical sorting on MultiIndex, with multiple functions assigned to key
- Docs
- Python not yet supported