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How to use _coerce_row method in pandera

Best Python code snippet using pandera_python

pandas_engine.py

Source:pandas_engine.py

...821    def coerce(self, data_container: pd.DataFrame) -> pd.DataFrame:822        """Coerce pandas dataframe with pydantic record model."""823        # pylint: disable=import-outside-toplevel824        from pandera import error_formatters825        def _coerce_row(row):826            """827            Coerce each row using pydantic model, keeping track of failure828            cases.829            """830            try:831                # pylint: disable=not-callable832                row = pd.Series(self.type(**row).dict())833                row["failure_cases"] = np.nan834            except ValidationError as exc:835                row["failure_cases"] = {836                    k: row[k] for k in (x["loc"][0] for x in exc.errors())837                }838            return row839        coerced_df = data_container.apply(_coerce_row, axis="columns")...

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