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
- ENH: Enable assert_almost_equal to test numpy-like zero-dimensional arrays
- BUG/API: setting behavior inserting negative numbers in np.uint/nullable UInt Series
- CI: add minimal requirements file
- ENH: add errors='coerce' to DataFrame.astype
- API/PERF: Don't reorder categoricals when grouping by an unordered categorical and `sort=False`
- ENH: Improved `CategoricalDtype` subtype handling.
- BUG: groupby doesn't distinguish between different kinds of null values
- BUG: 1.5.0rc0 extract_links modifies type first item in tuple
- Unclear error statement printed when `python ./scripts/validate_docstrings.py --errors=PR02` is run
- ENH: allow `convert_css` in `Styler.to_latex` to parse css classes set with `set_td_classes` and `set_table_styles`
- Docs
- Python not yet supported