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: read_parquet from public parquet file with AWS credentials in environment gives OSError
- BUG: SeriesGroupBy nlargest with as_index=False raises ValueError: Length of values (2) does not match length of index (5)
- DEPR: pd.merge vs DataFrame.merge
- BUG: make SeriesGroupBy nlargest and nsmallest behave like other filtrations
- DOC: `.to_string` `float_format` behavior inconsistent with documentation and different for extension types
- DOC: Unclear description for `header` in `read_csv` docstring
- BUG: Unnecessary NonExistentTimeError when resampling weekly
- DOC: No meaningful link to source for delegated methods.
- BUG: Inconsistent returns of Series.kurt() and Series.rolling().kurt() and scipy.stats.kurtosis(s, bias=False)
- BUG: Timedelta with non-ns unit does not add correctly to stdlib datetime.datetime
- Docs
- Python not yet supported