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: The order of items in `pd.concat` matters for the resulting `.index.freq`.
- 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: Inconsistent number conversion with leading zeros in to_numeric()
- API: implement Period(|Dtype|Array|Index).unit, remove ._freqstr
- Docs
- Python not yet supported