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.cut() sometimes puts `NaNs` into bins.
- BUG: GroupBy.__iter__ doesn't work for dict initialization
- BUG: com.maybe_make_list does not resolve correctly for np.array
- BUG: Precision loss when casting 19-digit integer to float
- BUG: to_clipboard raises an error with null values in data frame
- ENH: Aggregate pass args and kwargs to function list
- DOC: Add Inner Fill Option
- 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
- Docs
- Python not yet supported