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: `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
- BUG:ValueError: Invalid frequency with date
- Support resample('D').agg(new_col_name=('col_name', func) )
- BUG: Series.get() does not return default value in case one of slice(n,m) is not found
- Docs
- Python not yet supported