Pandera — Data Validation for DataFrames

Overview

Pandera validates DataFrames against schemas you declare as classes (DataFrameModel) or objects (DataFrameSchema). Each column gets a type, constraints (ge, isin, str_matches, unique, nullable) and optional custom checks; whole-frame rules go in @pa.dataframe_check. It works with pandas (pandera.pandas), Polars (pandera.polars), PySpark, Dask, Modin and Ibis. The pandas API lives in pandera.pandas, and the base pandera package no longer installs pandas for you.

Instructions

Schema Definition

Define column types, constraints, and checks: