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: DataFrameGroupBy.__getitem__ should warn on tuple of length 1
- BUG: Shift on a group column when column name is a tuple-of-tuples results in NumPy VisibleDeprecationWarning
- BUG: Return DataFrame could not preserve index dtype when using `.combine_first` with categorical index
- BUG: `tz_localize` drops `freq` from `DatetimIndex`
- ENH: Allow as_index=False on SeriesGroupBy
- ENH: Uniformised the boolean results in Pandas
- to_json/read_json can't handle interval index
- PERF: Vectorized string operations are slower than for-loops
- BUG: interpolate with limit keyword partially fills gaps larger than limit
- BUG: DataFrameGroupBy.apply with as_index False column name
- Docs
- Python not yet supported