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: DataFrame.convert_dtype(convert_integer=True) with int64_t limits throws Warning
- ENH: Introduce type-safe constructors for `Timestamp` and `Timedelta`.
- BUG: concatenating time series with non ns unit leads to dataframe with missing data
- ENH: Support μs Greek small letter mu
- ENH: The parameter `date_format` in `read_csv`
- PDEP-13: The pandas Logical Type System
- BUG: `read_html` does not properly structure some html table elements (possible `rowspan` or `colspan` issues)
- BUG: Index[timestamp[pyarrow]].union with itself return object type
- BUG: np.bool_(False) & pd.NA gives pd.NA
- BUG: Adding two series with pd.Series.add can change the dtype in unexpected ways.
- Docs
- Python not yet supported