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How to use _parse_schema_errors method in pandera

Best Python code snippet using pandera_python

errors.py

Source:errors.py

...108        self,109        schema_errors: List[Dict[str, Any]],110        data: Union[pd.Series, pd.DataFrame],111    ):112        error_counts, failure_cases = self._parse_schema_errors(schema_errors)113        super().__init__(self._message(error_counts, failure_cases))114        self.schema_errors = schema_errors115        self.error_counts = error_counts116        self.failure_cases = failure_cases117        self.data = data118    @staticmethod119    def _message(error_counts, schema_errors):120        """Format error message."""121        msg = (122            f"A total of {sum(error_counts.values())} "123            "schema errors were found.\n"124        )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")144            .to_frame()145            .assign(n_failure_cases=lambda df: df.failure_cases.map(len))146        )147        index_labels = [148            agg_schema_errors.index.names.index(name)149            for name in ["schema_context", "column"]150        ]151        agg_schema_errors = agg_schema_errors.sort_index(152            level=index_labels,153            ascending=[False, True],154        )155        msg += "\nSchema Error Summary"156        msg += "\n--------------------\n"157        with pd.option_context("display.max_colwidth", 100):158            msg += agg_schema_errors.to_string()159        msg += SCHEMA_ERRORS_SUFFIX160        return msg161    @staticmethod162    def _parse_schema_errors(schema_errors: List[Dict[str, Any]]):163        """Parse schema error dicts to produce data for error message."""164        error_counts = defaultdict(int)  # type: ignore165        check_failure_cases = []166        column_order = [167            "schema_context",168            "column",169            "check",170            "check_number",171            "failure_case",172            "index",173        ]174        for schema_error_dict in schema_errors:175            reason_code = schema_error_dict["reason_code"]176            err = schema_error_dict["error"]...

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