KaneAI - World’s First E2E Software Testing Agent.Book a Demo Join TestMu Conference

How to use function_check_types method in pandera

Best Python code snippet using pandera_python

test_schemas_on_koalas.py

Source:test_schemas_on_koalas.py

...459    @pa.check_io(df=in_schema, out=out_schema)460    def function_check_io_invalid(df: ks.DataFrame) -> ks.DataFrame:461        return df462    @pa.check_types463    def function_check_types(464        df: pa.typing.koalas.DataFrame[InSchema],465    ) -> pa.typing.koalas.DataFrame[OutSchema]:466        df["b"] = df["a"] + 1467        return df468    @pa.check_types469    def function_check_types_invalid(470        df: pa.typing.koalas.DataFrame[InSchema],471    ) -> pa.typing.koalas.DataFrame[OutSchema]:472        return df473    valid_df = ks.DataFrame({"a": [1, 2, 3]})474    invalid_df = ks.DataFrame({"b": [1, 2, 3]})475    function_check_input_output(valid_df)476    function_check_io(valid_df)477    function_check_types(valid_df)478    for fn in (479        function_check_input_output,480        function_check_input_output_invalid,481        function_check_io,482        function_check_io_invalid,483        function_check_types,484        function_check_types_invalid,485    ):486        with pytest.raises(pa.errors.SchemaError):487            fn(invalid_df)488    for fn in (489        function_check_input_output_invalid,490        function_check_io_invalid,491        function_check_types_invalid,...

test_schemas_on_modin.py

Source:test_schemas_on_modin.py

...375    @pa.check_io(df=in_schema, out=out_schema)376    def function_check_io_invalid(df: mpd.DataFrame) -> mpd.DataFrame:377        return df378    @pa.check_types379    def function_check_types(380        df: pa.typing.modin.DataFrame[InSchema],381    ) -> pa.typing.modin.DataFrame[OutSchema]:382        df["b"] = df["a"] + 1383        return df384    @pa.check_types385    def function_check_types_invalid(386        df: pa.typing.modin.DataFrame[InSchema],387    ) -> pa.typing.modin.DataFrame[OutSchema]:388        return df389    valid_df = mpd.DataFrame({"a": [1, 2, 3]})390    invalid_df = mpd.DataFrame({"b": [1, 2, 3]})391    function_check_input_output(valid_df)392    function_check_io(valid_df)393    function_check_types(valid_df)394    for fn in (395        function_check_input_output,396        function_check_input_output_invalid,397        function_check_io,398        function_check_io_invalid,399        function_check_types,400        function_check_types_invalid,401    ):402        with pytest.raises(pa.errors.SchemaError):403            fn(invalid_df)404    for fn in (405        function_check_input_output_invalid,406        function_check_io_invalid,407        function_check_types_invalid,...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.