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: inconsistent returned types for `pd.to_datetime(..., errors='coerce')`
- BUG: support decimal keyword for Float64Dtype in read_csv
- BUG: Pyarrow scalars inferred as object dtype with arrow backend enabled whwn assigning a new column
- DOC: Remove internally used/private parameters from method signatures
- ENH: Provide a public version of _get_axis
- BUG: Overflow behavior differs between numpy types and arrow dtypes
- BUG: fixed-length string arrays are not recognised as bytes on instantiation
- BUG: ```mean()``` would convert the type of column from decimal to float
- cut: documentation wrongly claims that labels=False (always) returns an ndarray of ints
- BUG (2.0rc0): groupby apply with a UDF changes dtype unexpectedly from double[pyarrow] to float64
- Docs
- Python not yet supported