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: .fillna({}) doesn't work
- BUG: DatetimeIndex.intersection with non-anchored freq
- rollback and rollforward both of them gives same response for month end business day
- BUG: Inconsistent behaviour for DataFrame.value_counts and Series.value_counts on categoricals
- BUG: `pandas.DataFrame.plot` results in inconsistent/incompatible `xticks` depending on the date span of the data
- BUG: Series.plot.hist segfault for timedelta64
- BUG: `pd.testing.assert_frame_equal` does not propagate precision to interval dtype
- BUG: bug in DataFrame.groupby(Grouper) triggers a ValueError exception in cython generate_bins_dt64() code
- ENH: Deprecate DataFrame.iterrows
- BUG: `DataFrame.equals` returns `True` when compared elements differ in being `np.array`s
- Docs
- Python not yet supported