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
- About the internationalization of documentation
- ENH: Allow to_json for DataFrame combine orient='values' with lines=True
- BUG: Pyarrow backend fails to export index with timezone `ArrowInvalid` exception
- BUG: Incorrect stack traceback when try except finally is used in jupyter notebooks.
- BUG: `.idxmax` returns legacy strings for pyarrow dataframes
- BUG: calendar day date_range AmbiguousTimeError with unambiguous DST boundaries
- BUG: DataFrame([empty EA Series]) returns NAs with dtype object
- BUG: `to_numpy` raise `ValueError: cannot convert float NaN to integer`
- BUG: inconsistency in freq of DatetimeIndex when converting PeriodIndex.to_timestamp
- BUG: expanding dataframe row-wise with single-element-list is no-op, but two-element-list copies
- Docs
- Python not yet supported