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How to use agg_failure_cases method in pandera

Best Python code snippet using pandera_python

errors.py

Source:errors.py

...125        msg += "\nError Counts"126        msg += "\n------------\n"127        for k, v in error_counts.items():128            msg += f"- {k}: {v}\n"129        def agg_failure_cases(df):130            # NOTE: this is a hack to add modin support131            if type(df).__module__.startswith("modin.pandas"):132                return (133                    df.groupby(["schema_context", "column", "check"])134                    .agg({"failure_case": "unique"})135                    .failure_case136                )137            return df.groupby(138                ["schema_context", "column", "check"]139            ).failure_case.unique()140        agg_schema_errors = (141            schema_errors.fillna({"column": "<NA>"})142            .pipe(agg_failure_cases)143            .rename("failure_cases")...

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