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
- Unify error messages when opening inexistent excel/csv file
- Maybe buggy nullable integer floor division by 0
- pd.read_sql timestamptz converted to object dtype
- DOC: when accessed from inside a column-wise `df.apply(..., axis=1)`, row.index refers to df.columns, and row.name refers to df.index value
- df.hist(sharex=True) does not perform as expected
- pandas.read_sql_table switches double quotation wrapping keys and values to single quotation in JSON columns
- DEPR: Deprecate `.str` accessor on object-dtype.
- Resampling on index and column after groupby give different results
- API: return "correct" missing value scalar from Categorical?
- pandas.read_sql() fails when the select is not the sole part of the query
- Docs
- Python not yet supported