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: use TimeSeries_DateFormatter in bar plot
- BUG: df.to_sql() lose datetime precision when uploading data to SQL Server temp table
- BUG: Inconsistency between `Series[float].__rfloordiv__([timedelta])` and `rfloordiv` and further
- BUG: ExcelFile.parse sets sheet.max_row and sheet.max_column to None
- BUG: DataFrame.loc[] returns object type instead of float
- IO/Stata: clarify unsupported-version error message (text-only change)
- ENH: Add TOON (Token Object Oriented Notation) I/O Support
- BUG: `.loc[:, [*labels]]` inconsistently reorders `MultiIndex`ed `Series` and `DataFrame`s
- BUG: `.dt.seconds` Discrepancy Between NumPy and PyArrow Timedelta Dtypes
- BUG: `DataFrame.apply(axis='columns')` loses pyarrow-backed dtypes / does not preserve dtype_backend
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- Python not yet supported