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
- String dtype: overview of breaking behaviour changes
- BUG: Error message in read_csv misleading when using decimal=","
- PERF: Difference in using zipped pickle files
- BUG: reset_index() looses the frequency of a DatetimeIndex
- BUG: CoW does not seem to work on an index with duplicated labels
- BUG: Series.mul silently returns wrong values with `UInt8` dtype when overflowing the max value range
- BUG: Wrong timestamp resolution when parsing timestamp string with comma separated milliseconds
- BUG: Pandas squashes 1-dimensional Numpy array with shape (1,) down to a 0-dimensional array
- BUG: read_sql tries to convert blob/varbinary to string with pyarrow backend
- ENH: Consistent API between `pd.get_dummies()` and `Series.str.get_dummies()`
- Docs
- Python not yet supported