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: to_numeric fails to convert a Pyarrow Decimal series containing NA values
- BUG: fix `DataFrame.__setitem__` with 2D object arrays
- BUG: Inconsistency between `Series[bool].__truediv__(list[bool])` and `Series[bool].truediv(list[bool])`
- ENH: Persian date
- BUG: read_excel with pyarrow backend does not infer correct data type with mixed values inside column
- BUG: missing value after comparison
- BUG: ExponentialMovingWindow.agg/aggregate fails when passing a callable
- PERF: Arrow dtypes are much slower than Numpy for DataFrame.apply
- BUG: Implicit upcast to float64 for large series (more than 1000000 rows)
- ENH: error messages for missing optional dependencies should point out the options
- Docs
- Python not yet supported