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
- PERF: Brainstorming read_csv perf improvements
- BUG: `rank` gives incorrect outputs on Windows with PyArrow backend
- indexing with a `Categorical` of `Interval`s is inefficient
- BUG: `assert_series_equal` broken with `check_category_order=False` for arrays with null values
- ENH: String functions for df.aggregate()
- ENH: More compact printing of a DataFrame with MultiIndex columns
- BUG: `pd.api.types.is_string_dtype()` returns inconsistent results for Categorical series vs dtype
- API: indexing dates-with-datetime64
- BUG: _get_common_dtype with date32[pyarrow] and null[pyarrow]
- BUG: fix boxplot column misorder
- Docs
- Python not yet supported