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
- ENH: Implement `skiptrailingspace` parameter for `read_csv`
- BUG: pd.crosstab(dropna=True, values=) drops rows and columns where any aggregation result is null.
- BUG: crosstab(aggfunc='skew') raises IndexError: single positional indexer is out-of-bounds
- BUG: Add fillna at the beginning of _where not to fill NA. #60729
- BUG: datetime64 column type fails parquet round trip
- BUG: `.map` & `.apply` would convert element type for extension array.
- BUG: The `.to_sql()` of `dtype` argument does not strictly ensure the column name and datatype
- BUG: Series.mask incorrectly replaces positions of pd.NA in the cond argument
- BUG: quoting=csv.QUOTE_NONNUMERIC adds extra decimal places
- ENH: add `__rshift__`, `__lshift__`, `__irshift__` and `__ilshift__`
- Docs
- Python not yet supported