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: any and all are much slower than min and max for GroupBy.transform
- BUG: .apply with collections
- BUG: Timestamp.to_period() fails for freq="MS"
- ENH: Add support for `date_unit` to be specified per column in `to_json`
- BUG: GroupBy dictionary aggregation raises ValueError when 'as_index=False'
- BUG: merge by MultiIndex containing tuples doesn't work correctly
- TST/COMPAT: test memory usage failed on macOS after change pytest-xdist -dist to `no`
- ENH: improve partial key indexing performance
- ENH: rolling for periodic data
- BUG: DatetimeIndex.to_period().to_timestamp() forgets freq value
- Docs
- Python not yet supported