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: 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
- BUG: scatter_matrix not working with subplots
- BUG: concat doesn't preserve attrs (as alternative for append deprecated in 1.4)
- BUG: infer_date fails to infer semi-month frequencies
- BUG: Covariance does not handle ddof argument if data is missing.
- BUG: df created with `columns` takes exceedingly long time for `sum()`
- BUG: `df.to_hdf` fails when `DatetimeIndex` has `freq=pd.DateOffset(years=1)`
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