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: Can't I replace Ellipsis in DataFrame.replace like scalar
- PERF: Plots with some DatetimeIndex frequencies very slow
- BUG/COMPAT: assert_* functions failing with nested arrays and latest numpy
- STYLE: Prohibit parsing exeption messages in `try/except` code flows
- BUG: Rank on Rolling window not correct when using FixedForwardWindowIndexer
- 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
- Docs
- Python not yet supported