pandas
https://github.com/pandas-dev/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: `read_{csv,excel}(<...>, header=[0,1], index_col=[0,1])` take different `.columns.names`
- DOC: `read_{csv,excel}` skip rows (columns) above (before) header (index columns)
- BUG: fix read_excel crash when index_col consumes all columns with list-valued header
- ENH: Support `tz_convert` on naive timestamps when naive tz specified
- BUG: ArrowDtype timestamp comparison with datetime.date scalar loses null propagation
- BUG: read_csv(dtype="category") ignores dtype_backend for the c and python engines
- API: `read_excel`: `.index.names` vs `.columns.names`
- BUG: setitem with nullable NA Series and non-default index raised (GH#62473)
- BUG: handle NA in MultiIndex labels in assert_frame_equal
- BUG: read_sql with dtype_backend="pyarrow" returns date/time as string (#56551)
- Docs
- Python not yet supported