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How to use _test_annotated_dtype method in pandera

Best Python code snippet using pandera_python

test_typing.py

Source:test_typing.py

...122class SchemaFieldCategoricalDtype(pa.SchemaModel):123    col: Series[pd.CategoricalDtype] = pa.Field(124        dtype_kwargs={"categories": ["b", "a"], "ordered": True}125    )126def _test_annotated_dtype(127    model: Type[pa.SchemaModel],128    dtype: Type,129    dtype_kwargs: Optional[Dict[str, Any]] = None,130):131    dtype_kwargs = dtype_kwargs or {}132    schema = model.to_schema()133    actual = schema.columns["col"].dtype134    expected = pa.Column(dtype(**dtype_kwargs), name="col").dtype135    assert actual == expected136def _test_default_annotated_dtype(137    model: Type[pa.SchemaModel], dtype: Type, has_mandatory_args: bool138):139    if has_mandatory_args:140        err_msg = "cannot be instantiated"141        with pytest.raises(TypeError, match=err_msg):142            model.to_schema()143    else:144        _test_annotated_dtype(model, dtype)145class SchemaFieldDatetimeTZDtype(pa.SchemaModel):146    col: Series[pd.DatetimeTZDtype] = pa.Field(147        dtype_kwargs={"unit": "ns", "tz": "EST"}148    )149class SchemaFieldIntervalDtype(pa.SchemaModel):150    col: Series[pd.IntervalDtype] = pa.Field(dtype_kwargs={"subtype": "int32"})151class SchemaFieldPeriodDtype(pa.SchemaModel):152    col: Series[pd.PeriodDtype] = pa.Field(dtype_kwargs={"freq": "D"})153class SchemaFieldSparseDtype(pa.SchemaModel):154    col: Series[pd.SparseDtype] = pa.Field(155        dtype_kwargs={"dtype": np.int32, "fill_value": 0}156    )157@pytest.mark.parametrize(158    "model, dtype, dtype_kwargs",159    [160        (161            SchemaFieldCategoricalDtype,162            pd.CategoricalDtype,163            {"categories": ["b", "a"], "ordered": True},164        ),165        (166            SchemaFieldDatetimeTZDtype,167            pd.DatetimeTZDtype,168            {"unit": "ns", "tz": "EST"},169        ),170        (SchemaFieldIntervalDtype, pd.IntervalDtype, {"subtype": "int32"}),171        (SchemaFieldPeriodDtype, pd.PeriodDtype, {"freq": "D"}),172        (173            SchemaFieldSparseDtype,174            pd.SparseDtype,175            {"dtype": np.int32, "fill_value": 0},176        ),177    ],178)179def test_parametrized_pandas_extension_dtype_field(180    model: Type[pa.SchemaModel], dtype: Type, dtype_kwargs: Dict[str, Any]181):182    """Test type annotations for parametrized pandas extension dtypes."""183    _test_annotated_dtype(model, dtype, dtype_kwargs)184class SchemaDefaultCategoricalDtype(pa.SchemaModel):185    col: Series[pd.CategoricalDtype]186class SchemaDefaultDatetimeTZDtype(pa.SchemaModel):187    col: Series[pd.DatetimeTZDtype]188class SchemaDefaultIntervalDtype(pa.SchemaModel):189    col: Series[pd.IntervalDtype]190class SchemaDefaultPeriodDtype(pa.SchemaModel):191    col: Series[pd.PeriodDtype]192class SchemaDefaultSparseDtype(pa.SchemaModel):193    col: Series[pd.SparseDtype]194@pytest.mark.parametrize(195    "model, dtype, has_mandatory_args",196    [197        (SchemaDefaultCategoricalDtype, pd.CategoricalDtype, False),198        # DatetimeTZDtype: tz is implictly required199        (SchemaDefaultDatetimeTZDtype, pd.DatetimeTZDtype, True),200        (SchemaDefaultIntervalDtype, pd.IntervalDtype, False),201        # PeriodDtype: freq is implicitely required -> str(pd.PeriodDtype())202        # raises AttributeError203        (SchemaDefaultPeriodDtype, pd.PeriodDtype, True),204        (SchemaDefaultSparseDtype, pd.SparseDtype, False),205    ],206)207def test_legacy_default_pandas_extension_dtype(208    model, dtype: pd.core.dtypes.base.ExtensionDtype, has_mandatory_args: bool209):210    """Test type annotations for default pandas extension dtypes."""211    _test_default_annotated_dtype(model, dtype, has_mandatory_args)212class SchemaAnnotatedCategoricalDtype(pa.SchemaModel):213    col: Series[Annotated[pd.CategoricalDtype, ["b", "a"], True]]214class SchemaAnnotatedDatetimeTZDtype(pa.SchemaModel):215    col: Series[Annotated[pd.DatetimeTZDtype, "ns", "est"]]216if pa.PANDAS_1_3_0_PLUS:217    class SchemaAnnotatedIntervalDtype(pa.SchemaModel):218        col: Series[Annotated[pd.IntervalDtype, "int32", "both"]]219else:220    class SchemaAnnotatedIntervalDtype(pa.SchemaModel):  # type: ignore221        col: Series[Annotated[pd.IntervalDtype, "int32"]]222    class SchemaAnnotatedPeriodDtype(pa.SchemaModel):223        col: Series[Annotated[pd.PeriodDtype, "D"]]224    class SchemaAnnotatedSparseDtype(pa.SchemaModel):225        col: Series[Annotated[pd.SparseDtype, np.int32, 0]]226    @pytest.mark.parametrize(227        "model, dtype, dtype_kwargs",228        [229            (230                SchemaAnnotatedCategoricalDtype,231                pd.CategoricalDtype,232                {"categories": ["b", "a"], "ordered": True},233            ),234            (235                SchemaAnnotatedDatetimeTZDtype,236                pd.DatetimeTZDtype,237                {"unit": "ns", "tz": "EST"},238            ),239            (240                SchemaAnnotatedIntervalDtype,241                pd.IntervalDtype,242                (243                    {"subtype": "int32", "closed": "both"}244                    if pa.PANDAS_1_3_0_PLUS245                    else {"subtype": "int32"}246                ),247            ),248            (SchemaAnnotatedPeriodDtype, pd.PeriodDtype, {"freq": "D"}),249            (250                SchemaAnnotatedSparseDtype,251                pd.SparseDtype,252                {"dtype": np.int32, "fill_value": 0},253            ),254        ],255    )256    def test_annotated_dtype(257        model: Type[pa.SchemaModel], dtype: Type, dtype_kwargs: Dict[str, Any]258    ):259        """Test type annotations for parametrized pandas extension dtypes."""260        _test_annotated_dtype(model, dtype, dtype_kwargs)261    class SchemaInvalidAnnotatedDtype(pa.SchemaModel):262        col: Series[Annotated[pd.DatetimeTZDtype, "utc"]]263    def test_invalid_annotated_dtype():264        """265        Test incorrect number of parameters for parametrized pandas extension266        dtypes.267        """268        err_msg = re.escape(269            "Annotation 'DatetimeTZDtype' requires all "270            r"positional arguments ['unit', 'tz']."271        )272        with pytest.raises(TypeError, match=err_msg):273            SchemaInvalidAnnotatedDtype.to_schema()274    class SchemaRedundantField(pa.SchemaModel):...

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