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How to use _deserialize_check_stats method in pandera

Best Python code snippet using pandera_python

io.py

Source:io.py

...118        "coerce": dataframe_schema.coerce,119        "strict": dataframe_schema.strict,120        "unique": dataframe_schema.unique,121    }122def _deserialize_check_stats(check, serialized_check_stats, dtype=None):123    def handle_stat_dtype(stat):124        try:125            if pandas_engine.Engine.dtype(dtypes.DateTime).check(dtype):126                return pd.to_datetime(stat, format=DATETIME_FORMAT)127            elif pandas_engine.Engine.dtype(dtypes.Timedelta).check(dtype):128                # serialize to int in nanoseconds129                return pd.to_timedelta(stat, unit="ns")130        except (TypeError, ValueError):131            return stat132        return stat133    if isinstance(serialized_check_stats, dict):134        # handle case where serialized check stats are in the form of a135        # dictionary mapping Check arg names to values.136        check_stats = {}137        for arg, stat in serialized_check_stats.items():138            check_stats[arg] = handle_stat_dtype(stat)139        return check(**check_stats)140    # otherwise assume unary check function signature141    return check(handle_stat_dtype(serialized_check_stats))142def _deserialize_component_stats(serialized_component_stats):143    dtype = serialized_component_stats.get("dtype")144    if dtype:145        dtype = pandas_engine.Engine.dtype(dtype)146    checks = serialized_component_stats.get("checks")147    if checks is not None:148        checks = [149            _deserialize_check_stats(150                getattr(Check, check_name), check_stats, dtype151            )152            for check_name, check_stats in checks.items()153        ]154    return {155        "dtype": dtype,156        "checks": checks,157        **{158            key: serialized_component_stats.get(key)159            for key in [160                "name",161                "nullable",162                "unique",163                # deserialize allow_duplicates property for backwards164                # compatibility. Remove this for 0.8.0 release165                "allow_duplicates",166                "coerce",167                "required",168                "regex",169            ]170            if key in serialized_component_stats171        },172    }173def _deserialize_schema(serialized_schema):174    # pylint: disable=import-outside-toplevel175    from pandera import Index, MultiIndex176    # GH#475177    serialized_schema = serialized_schema if serialized_schema else {}178    if not isinstance(serialized_schema, Mapping):179        raise pandera.errors.SchemaDefinitionError(180            "Schema representation must be a mapping."181        )182    columns = serialized_schema.get("columns")183    index = serialized_schema.get("index")184    checks = serialized_schema.get("checks")185    if columns is not None:186        columns = {187            col_name: Column(**_deserialize_component_stats(column_stats))188            for col_name, column_stats in columns.items()189        }190    if index is not None:191        index = [192            _deserialize_component_stats(index_component)193            for index_component in index194        ]195    if checks is not None:196        # handles unregistered checks by raising AttributeErrors from getattr197        checks = [198            _deserialize_check_stats(getattr(Check, check_name), check_stats)199            for check_name, check_stats in checks.items()200        ]201    if index is None:202        pass203    elif len(index) == 1:204        index = Index(**index[0])205    else:206        index = MultiIndex(207            indexes=[Index(**index_properties) for index_properties in index]208        )209    return DataFrameSchema(210        columns=columns,211        checks=checks,212        index=index,...

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