wip/py-pandera 0.4.5 NetBSD

pandas data structures contain information that pandera explicitly validates at runtime. This is useful in production-critical or reproducible research settings. With pandera, you can:

Check the types and properties of columns in a DataFrame or values in a Series. Perform more complex statistical validation like hypothesis testing. Seamlessly integrate with existing data analysis/processing pipelines via function decorators.

pandera provides a flexible and expressive API for performing data validation on tidy (long-form) and wide data to make data processing pipelines more readable and robust