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
- BUG: `DataFrame.to_string()` - customer formatter ***not*** called for all values in column
- ENH: Bring `assert_equals` into the public API
- DOC: to_parquet state that path can start with s3://
- BUG: quantile works for all-nan Series but not all-nan Pint ExtensionArray
- DOC: pandas.Series.str.is(digit|alpha|lower|upper|...) source links point to wrapper function
- QST: Why to_json defaults to force_ascii=True
- BUG: A series/dataframe with np.nan values stored in a tuple does not pickle/unpickle as expected
- BUG: Unexpected side effects within `agg` function
- BUG: pandas.Series.unique() does not return correct unique values on \u string
- BUG: Inconsistent `chunk.name` attribute between Groupby.apply, transform and aggregate
- Docs
- Python not yet supported