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
- API: `astype` method fails to raise errors for `category` data type
- BUG: Raise TypeError when subracting DateTimeArray and other date types
- BUG: Arrow Binary View Types Don't Print When containing missing values
- BUG: Disabling pandas option display.html.use_mathjax has no effect
- BUG: drop_duplicates() inconsistent output when using/not using subset and having different types of NaNs
- DOC: Should `DataFrame.drop()` accept a `set` for the `columns` , `index` and `labels` argument?
- BUG: When using to_excel() columns with Date Format are converting in Excel to 'General Format.
- BUG: select_dtypes does not work with timestamp[ns][pyarrow]
- BUG (string dtype): looking up missing value in the Index fails
- DOC: defaults in method signature vs description
- Docs
- Python not yet supported