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
- Int64 numbers from Pandas DataFrame.to_markdown() incorrectly displayed
- Information for new contributors
- ENH: allow pct change to generate ghost dates to avoid missing values
- 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
- Docs
- Python not yet supported