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:ValueError: Invalid frequency with date
- Support resample('D').agg(new_col_name=('col_name', func) )
- BUG: Series.get() does not return default value in case one of slice(n,m) is not found
- BUG: to_json for DataFrame containing Path objects crash with infinite recursion
- BUG: pivot broken on the latest version 1.1.0
- QST: Howto write a custom DateOffset
- BUG: GroupBy.mean() is extremely slow with sparse arrays
- ENH: Improve `OverflowError` message when `pandas.read_stata` fails to convert dates
- BUG:read_csv misleading handling of csv files containing rows with different number of delimiters
- BUG: The exception is arisen when `apply` takes functions with equal names
- Docs
- Python not yet supported