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
- read_csv s3 file parameter memory_map default is True?
- DataFrame.set_index() may not preserve dtype
- Use an enum for infer_dtype return values?
- DEPR: Tick comparison with str
- DataFrame.replace changes dtype of columns not containing any value to be replaced.
- Put some marker in the DOCs for functions need in previous installed modules or drivers
- DataFrame.loc multiple columns replace
- ENH/PERF: allow mask to be optional in our masked ExtensionArrays
- Remove all preprocessing from PlotAccessor.__call__
- Pivot Table Margins aren't correctly showing NaN values despite dummy variables
- Docs
- Python not yet supported