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 iteration and to_dict methods *sometimes* return underlying storage type vs. Python object
- KeyErrors are inconsistent and too verbose
- value_counts unexpected behaviour - bins and dropna
- display.precision not honored for float values in an object index
- Fix Validation Script to Not Error Out if Bullet Points Don't End with Period
- df.to_hdf5() in table append mode very slow with data_columns=True, append=True, index=False
- RecursionError with self referencing column in str(df) on DataFrame
- MultiIndex level dropped when multiplying two series with a single entry
- Should DatetimeIndex indexing with strings ever raise KeyError?
- Series.replace throws TypeError only on large dataset
- Docs
- Python not yet supported