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
- REF: dtype_backend argument in sql module mixes lib.no_default and numpy
- BUG: spearman correlation doesn't work on non-numeric data
- API: how to check for "logical" equality of dtypes?
- BUG: single column DataFrame df.apply(f, raw=True, engine='numba') failed when f is a non-reduction function
- Ignore sharex unless subplots=True
- BUG?: using `None` as replacement value in `replace()` typically upcasts to object dtype
- BUG: Challenges with Nested Metadata Extraction Using pandas.json_normalize(
- ERR: consistent error messages for unsupported setitem values
- ENH: "stripna" for dropping leading or trailing NaNs
- BUG/API: preserve dtype in Index `append()`
- Docs
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