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: Lost precision of NUMBER in read_sql_table().
- Should IntegerArray provide data / mask through an API?
- Infer dtype when using `df.explode()`ENH:
- BUG: `read_excel` function auto-fills `NaN` values in index-columns with recent not-NaN values in the column
- BUG: stacked histogram on datetimes
- ENH: Make DataFrame.insert more flexible
- ENH: remove restrictions to numexpr to allow `where` etc.
- BUG: setting raw=True in the Dataframe.apply function causes a ValueError
- BUG: DataFrame with index having tzlocal() timezone could not be saved to parquet
- ENH: to_dict(orient="index", into=T) returns T[K, dict], expecting T[K, T]
- Docs
- Python not yet supported