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How to use _get_to_datetime_fn method in pandera

Best Python code snippet using pandera_python

pandas_engine.py

Source:pandas_engine.py

...560    to_datetime_kwargs: Dict[str, Any] = dataclasses.field(561        default_factory=dict, compare=False, repr=False562    )563    @staticmethod564    def _get_to_datetime_fn(obj: Any) -> Callable:565        # NOTE: this is a hack to support pyspark.pandas. This needs to be566        # thoroughly tested, right now pyspark.pandas returns NA when a567        # dtype value can't be coerced into the target dtype.568        to_datetime_fn = pd.to_datetime569        if type(obj).__module__.startswith(570            "pyspark.pandas"571        ):  # pragma: no cover572            # pylint: disable=import-outside-toplevel573            import pyspark.pandas as ps574            to_datetime_fn = ps.to_datetime575        if type(obj).__module__.startswith("modin.pandas"):576            # pylint: disable=import-outside-toplevel577            import modin.pandas as mpd578            to_datetime_fn = mpd.to_datetime579        return to_datetime_fn580@Engine.register_dtype(581    equivalents=[582        "time",583        "datetime",584        "datetime64",585        datetime.datetime,586        np.datetime64,587        dtypes.Timestamp,588        dtypes.Timestamp(),589        pd.Timestamp,590    ]591)592@immutable(init=True)593class DateTime(_BaseDateTime, dtypes.Timestamp):594    """Semantic representation of a potentially timezone-aware datetime.595    Uses ``np.dtype("datetime64[ns]")`` for non-timezone aware datetimes and596    :class:`pandas.DatetimeTZDtype` for timezone-aware datetimes.597    """598    type: Optional[_PandasDatetime] = dataclasses.field(599        default=None, init=False600    )601    unit: str = "ns"602    """The precision of the datetime data. Currently limited to "ns"."""603    tz: Optional[datetime.tzinfo] = None604    """The timezone."""605    to_datetime_kwargs: Dict[str, Any] = dataclasses.field(606        default_factory=dict, compare=False, repr=False607    )608    "Any additional kwargs passed to :func:`pandas.to_datetime` for coercion."609    tz_localize_kwargs: Dict[str, Any] = dataclasses.field(610        default_factory=dict, compare=False, repr=False611    )612    "Keyword arguments passed to :func:`pandas.Series.dt.tz_localize` for coercion."613    _default_tz_localize_kwargs = {614        "ambiguous": "infer",615    }616    def __post_init__(self):617        if self.tz is None:618            type_ = np.dtype("datetime64[ns]")619        else:620            type_ = pd.DatetimeTZDtype(self.unit, self.tz)621            # DatetimeTZDtype converted tz to tzinfo for us622            object.__setattr__(self, "tz", type_.tz)623        object.__setattr__(self, "type", type_)624    def _coerce(625        self, data_container: PandasObject, pandas_dtype: Any626    ) -> PandasObject:627        to_datetime_fn = self._get_to_datetime_fn(data_container)628        _tz_localize_kwargs = {629            **self._default_tz_localize_kwargs,630            **self.tz_localize_kwargs,631        }632        def _to_datetime(col: PandasObject) -> PandasObject:633            col = to_datetime_fn(col, **self.to_datetime_kwargs)634            if (635                hasattr(pandas_dtype, "tz")636                and pandas_dtype.tz is not None637                and col.dt.tz is None638            ):639                # localize datetime column so that it's timezone-aware640                col = col.dt.tz_localize(641                    pandas_dtype.tz,642                    **_tz_localize_kwargs,643                )644            return col.astype(pandas_dtype)645        if isinstance(data_container, pd.DataFrame):646            # pd.to_datetime transforms a df input into a series.647            # We actually want to coerce every columns.648            return data_container.transform(_to_datetime)649        return _to_datetime(data_container)650    @classmethod651    def from_parametrized_dtype(cls, pd_dtype: pd.DatetimeTZDtype):652        """Convert a :class:`pandas.DatetimeTZDtype` to653        a Pandera :class:`pandera.engines.pandas_engine.DateTime`."""654        return cls(unit=pd_dtype.unit, tz=pd_dtype.tz)  # type: ignore655    def coerce(self, data_container: PandasObject) -> PandasObject:656        return self._coerce(data_container, pandas_dtype=self.type)657    def coerce_value(self, value: Any) -> Any:658        """Coerce an value to specified datatime type."""659        return self._get_to_datetime_fn(value)(660            value, **self.to_datetime_kwargs661        )662    def __str__(self) -> str:663        if self.type == np.dtype("datetime64[ns]"):664            return "datetime64[ns]"665        return str(self.type)666@Engine.register_dtype(667    equivalents=[668        "date",669        datetime.date,670        dtypes.Date,671        dtypes.Date(),672    ]673)674@immutable(init=True)675class Date(_BaseDateTime, dtypes.Date):676    """Semantic representation of a date data type."""677    type = np.dtype("object")678    to_datetime_kwargs: Dict[str, Any] = dataclasses.field(679        default_factory=dict, compare=False, repr=False680    )681    "Any additional kwargs passed to :func:`pandas.to_datetime` for coercion."682    # define __init__ to please mypy683    def __init__(  # pylint:disable=super-init-not-called684        self,685        to_datetime_kwargs: Optional[Dict[str, Any]] = None,686    ) -> None:687        object.__setattr__(688            self, "to_datetime_kwargs", to_datetime_kwargs or {}689        )690    def _coerce(691        self, data_container: PandasObject, pandas_dtype: Any692    ) -> PandasObject:693        to_datetime_fn = self._get_to_datetime_fn(data_container)694        def _to_datetime(col: PandasObject) -> PandasObject:695            col = to_datetime_fn(col, **self.to_datetime_kwargs)696            return col.astype(pandas_dtype).dt.date697        if isinstance(data_container, pd.DataFrame):698            # pd.to_datetime transforms a df input into a series.699            # We actually want to coerce every columns.700            return data_container.transform(_to_datetime)701        return _to_datetime(data_container)702    def coerce(self, data_container: PandasObject) -> PandasObject:703        return self._coerce(data_container, pandas_dtype="datetime64[ns]")704    def coerce_value(self, value: Any) -> Any:705        coerced = self._get_to_datetime_fn(value)(706            value, **self.to_datetime_kwargs707        )708        return coerced.date() if coerced is not None else pd.NaT709    def check(  # type: ignore710        self,711        pandera_dtype: DataType,712        data_container: Optional[pd.Series] = None,713    ) -> Union[bool, Iterable[bool]]:714        if not DataType.check(self, pandera_dtype, data_container):715            if data_container is None:716                return False717            else:718                return np.full_like(data_container, False)719        if data_container is None:...

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