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
- Series of dtype float128 does not print correctly
- ENH: Add DatetimeIndexResampler.nlargest
- DOC: Anchored Offset Starting Quarter and Year defaults to JAN not DEC
- Use Turbodbc/Arrow for read_sql_table
- DOC: Order of groups in groupby and head method
- PERF: Optimize _categorical_convert CSV parser when categories are known ahead of time
- dropna(subset=...) does not accept incomplete key
- DataFrame.plot() with mplstyle file option axes.grid.axis: y behaves like axes.grid.axis: both
- Simultaneously melt multiple columns
- Period does not round down for frequencies less that 1 hour
- Docs
- Python not yet supported