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
- DEPR: deprecate silent alignment on arithmetic operations between Series with non-aligned MultiIndexes
- REGR: registered accessors are no longer cached per DataFrame
- BUG: Passing string[pyarrow] to the dtype parameter of e.g. csv_read() does produce a string type Series
- BUG: Inconsistent behavior surrounding pd.fillna
- ENH: When read_csv reports an error, include the column name and row number
- BUG: doing df.to_parquet and then reading it with pd.read_parquet causes KeyError
- BUG: `rank` gives incorrect outputs on Windows with PyArrow backend
- 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
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