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
- DataFrame.groupby().sum() treating Nan as 0.0
- Timestamp.to_period() is off-by-one for weekly frequencies
- Surprising type conversion when iterating
- Y-Axis is always shared when using subplots together with twiny
- pd.merge: MultiIndex column label mistakenly classified as "not unique"
- Fixture for np.* Functions Used in Transform
- Use select_column if possible when read_hdf
- get_dummies(dummy_na=True) treats int like float when creating dummy names
- Dates being wrongly plotted at start of month
- API: groupby-apply with on a DataFrame returning a Series can have misleading inference
- Docs
- Python not yet supported