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: for ordered categorical data implements correct computation of kendall/spearman correlations
- Implemented NumbaExecutionEngine
- PDEP-18: Nullable Object Dtype
- BUG: Dataframe arithmatic operators don't work with Series using fill_value
- Moving to PyArrow dtypes by default
- ENH: Implement translations infrastructure
- ENH: The row and column indexing mechanism of your dataframe is inefficient, leading to errors and unnecessary time consumption
- BUG: setting item to iterable with .at fails when column doesn't exist or has wrong dtype
- ENH: Add ignore_empty and ignore_all_na arguments to pd.concat
- ENH: Consistent NA handling in `unique()`, and `nunique()`
- Docs
- Python not yet supported