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: pd.array(floatdata, dtype=np.inty) should use astype_nansafe
- ENH: ASV Coverage
- ENH: Allow dropna to accept floats [0, 1] as thresh values
- BUG: Unsorted and Monotonic Indexes respond differently on non-existant key(s) slicing
- ENH: `json_normalize` flatten lists as well
- BUG: `__array_ufunc__` with for functions with side-effects depends on `_data`
- ENH: DataFrame.interpolate limit to support all-or-none filling
- BUG: `Styler.to_excel` does not export styles and formats correctly
- BUG: false negatives for multiindex joins validation
- BUG: Unexpected behavior when assigning multi-dimensional array to DataFrame column
- Docs
- Python not yet supported