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How to use _try_coercion method in pandera

Best Python code snippet using pandera_python

schemas.py

Source:schemas.py

...323        :param obj: dataframe to coerce.324        :returns: dataframe with coerced dtypes325        """326        error_handler = SchemaErrorHandler(lazy=True)327        def _try_coercion(coerce_fn, obj):328            try:329                return coerce_fn(obj)330            except errors.SchemaError as exc:331                error_handler.collect_error("dtype_coercion_error", exc)332                return obj333        for colname, col_schema in self.columns.items():334            if col_schema.regex:335                try:336                    matched_columns = col_schema.get_regex_columns(obj.columns)337                except errors.SchemaError:338                    matched_columns = pd.Index([])339                for matched_colname in matched_columns:340                    if col_schema.coerce or self.coerce:341                        obj[matched_colname] = _try_coercion(342                            col_schema.coerce_dtype, obj[matched_colname]343                        )344            elif (345                (col_schema.coerce or self.coerce)346                and self.dtype is None347                and colname in obj348            ):349                obj[colname] = _try_coercion(350                    col_schema.coerce_dtype, obj[colname]351                )352        if self.dtype is not None:353            obj = _try_coercion(self._coerce_dtype, obj)354        if self.index is not None and (self.index.coerce or self.coerce):355            index_schema = copy.deepcopy(self.index)356            if self.coerce:357                # coercing at the dataframe-level should apply index coercion358                # for both single- and multi-indexes.359                index_schema._coerce = True360            coerced_index = _try_coercion(index_schema.coerce_dtype, obj.index)361            if coerced_index is not None:362                obj.index = coerced_index363        if error_handler.collected_errors:364            raise errors.SchemaErrors(error_handler.collected_errors, obj)365        return obj366    def validate(367        self,368        check_obj: pd.DataFrame,369        head: Optional[int] = None,370        tail: Optional[int] = None,371        sample: Optional[int] = None,372        random_state: Optional[int] = None,373        lazy: bool = False,374        inplace: bool = False,...

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