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: convert_dtype with dtype_backend="numpy_nullable" return an object with pyarrow storage
- BUG: inconsitant parsing of dates with us to ns resolution
- BUG: convert_dtypes does not correctly set the storage in the dtype repr
- BUG: For `infer_dtype` `skipna` is ignored for Period / Interval
- BUG: `read_excel` with `usecols` still mangles column names when duplicates exist elsewhere in spreadsheet
- API: Period subtraction
- DEPR: Period "freq" -> "unit"
- BUG: DataFrame.unstack(0, sort=False) creates fake column names
- QST: Understanding list-like functions in transform and apply command in pandas
- API/BUG: support for operations with custom objects / object dtype
- Docs
- Python not yet supported