How to use _serialize_check_stats method in pandera

Best Python code snippet using pandera_python

io.py

Source:io.py

...25    ) from exc26DATETIME_FORMAT = "%Y-%m-%d %H:%M:%S"27def _get_qualified_name(cls: type) -> str:28    return f"{cls.__module__}.{cls.__qualname__}"29def _serialize_check_stats(check_stats, dtype=None):30    """Serialize check statistics into json/yaml-compatible format."""31    def handle_stat_dtype(stat):32        if pandas_engine.Engine.dtype(dtypes.DateTime).check(33            dtype34        ) and hasattr(stat, "strftime"):35            # try serializing stat as a string if it's datetime-like,36            # otherwise return original value37            return stat.strftime(DATETIME_FORMAT)38        elif pandas_engine.Engine.dtype(dtypes.Timedelta).check(39            dtype40        ) and hasattr(stat, "delta"):41            # try serializing stat into an int in nanoseconds if it's42            # timedelta-like, otherwise return original value43            return stat.delta44        return stat45    # for unary checks, return a single value instead of a dictionary46    if len(check_stats) == 1:47        return handle_stat_dtype(list(check_stats.values())[0])48    # otherwise return a dictionary of keyword args needed to create the Check49    serialized_check_stats = {}50    for arg, stat in check_stats.items():51        serialized_check_stats[arg] = handle_stat_dtype(stat)52    return serialized_check_stats53def _serialize_dataframe_stats(dataframe_checks):54    """55    Serialize global dataframe check statistics into json/yaml-compatible56    format.57    """58    serialized_checks = {}59    for check_name, check_stats in dataframe_checks.items():60        # The case that `check_name` is not registered is handled in61        # `parse_checks` so we know that `check_name` exists.62        # infer dtype of statistics and serialize them63        serialized_checks[check_name] = _serialize_check_stats(check_stats)64    return serialized_checks65def _serialize_component_stats(component_stats):66    """67    Serialize column or index statistics into json/yaml-compatible format.68    """69    serialized_checks = None70    if component_stats["checks"] is not None:71        serialized_checks = {}72        for check_name, check_stats in component_stats["checks"].items():73            serialized_checks[check_name] = _serialize_check_stats(74                check_stats, component_stats["dtype"]75            )76    dtype = component_stats.get("dtype")77    if dtype:78        dtype = str(dtype)79    return {80        "dtype": dtype,81        "nullable": component_stats["nullable"],82        "checks": serialized_checks,83        **{84            key: component_stats.get(key)85            for key in [86                "name",87                "unique",...

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