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
- ENH: "stripna" for dropping leading or trailing NaNs
- BUG/API: preserve dtype in Index `append()`
- BUG: Series.combine_first loss of precision
- BUG: many dataframe operations broken when a column contains numpy structured array
- ENH: Relative timedelta isn't plotted like datetime
- PERF: DataFrame fragmentation when calling DataFrame.assign() with large kwargs
- BUG: ArrowDtype Series: Broadcasting Error with Single-Value Arrays in Arithmetic Operations
- BUG: `str.split("")` gives extra leading and trailing elements
- BUG: Failures with ArrowDtype(pa.string_view())
- BUG: Creation of UInt64 column with `18446744073709551615` throws RuntimeWarning
- Docs
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