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: Different behavior for different index types
- BUG: Series read_json tries to convert all column values to dates even when using keep_default_dates=True, if one column has an na value
- PERF: Memory leak when returning subset of DataFrame and deleting the rest
- API: Consolidate groupby as_index and group_keys
- 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
- Docs
- Python not yet supported