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
- fix: Fix for the csv.read of nan values
- DOC: Clarify limit keyword behavior in interpolate
- ENH: Ability to specify locale in Datetime and strftime for format
- BUG: Cannot build `pandas` with MSVC
- PERF: avoid pearson correlation L3 cache regression
- 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
- BUG: `str.split()`/`rsplit()` with no separator on `ArrowDtype` keeps empty whitespace tokens
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- Python not yet supported