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: Data type is float64 when Dataframe is initialized with array of shape (0, 0)
- Evaluate using WeakSet for reference tracking
- DOC: Provide a public place for users to link to our documentation
- DEPR: check_datetimelike_compat in tm.assert_foo functions
- BUG: hash_array does not produce deterministic integers
- ENH: Allow rank to return int64 for numpy types when no missing values are present
- BUG(?) `Index.__getitem__` with 0D numpy array raises AssertionError
- BUG: to_json and then read_json goes wrong for categories created by the cut operation
- PERF/STY: avoid ravel
- DEPR: pd.Categorical
- Docs
- Python not yet supported