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: Accessing a row with loc recasts dtype and can cause values to change depending on other columns
- PDEP-16: Consistent missing value handling
- BUG: `Index.difference` is returning too many values
- BUG: index `to_period` - `to_timestamp` round trip with `freq` argument fails specifically with `period-start` frequencies
- Potential performance regression with "CLN: enforce deprecation of frequencies deprecated for offsets"
- DOC: Searching DataFrame.eval( blocks me from the documentation
- ENH: add "right" argument to "qcut", like "cut" has
- BUG: inconsistency in the behaviour of `DatetimeIndex.is_year_start` on the frequency "BYS"
- QST:
- BUG: read_excel multiindex head with holes
- Docs
- Python not yet supported