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
- BUG: Timespan.timestamp() surprisinly different from datetime.datetime.timestamp() for naive timestamps
- BUG: mapping tuples of different lengths unsupported with IndexError: tuple index out of range
- BUG: groupby sort issue when using rolling
- BUG: assign with apply over axis=1 sometimes fails when the DataFrame has zero rows
- ENH: _testing.assert_almost_equal on datetimes actually checks exact equality
- BUG: In master, math with periodindex + index of offset produces wrong result
- BUG: loc raising error for MultiIndex with bool indexer _and first level of object dtype_
- TST: Cleanup tests from numeric_only / nuisance deprecation
- REGR: Index.astype(<numpy string dtype>) started failing
- PERF: Indexes with arrow arrays covert the arrays to numpy object arrays, and that's very slow
- Docs
- Python not yet supported