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How to use _assert_expectation method in pandera

Best Python code snippet using pandera_python

test_decorators.py

Source:test_decorators.py

...203        @check_input(in_schema, "df")204        @check_output(out_schema)205        def transform_secord_arg_with_dict_getter(self, x, df):206            return _transform_helper(df)207    def _assert_expectation(result_df):208        assert isinstance(result_df, pd.DataFrame)209        assert "column2" in result_df.columns210    transformer = TransformerClass()211    # call method with a dataframe passed as a positional argument212    _assert_expectation(transformer.transform_first_arg(dataframe))213    # call method with a dataframe passed as a first keyword argument214    _assert_expectation(transformer.transform_first_arg(df=dataframe))215    # call method with a dataframe passed as a second keyword argument216    _assert_expectation(217        transformer.transform_first_arg_with_two_func_args(218            x="foo", df=dataframe219        )220    )221    _assert_expectation(222        transformer.transform_first_arg_with_list_getter(dataframe)223    )224    _assert_expectation(225        transformer.transform_secord_arg_with_list_getter(None, dataframe)226    )227    _assert_expectation(228        transformer.transform_secord_arg_with_dict_getter(None, dataframe)229    )230def test_check_io() -> None:231    # pylint: disable=too-many-locals232    """Test that check_io correctly validates/invalidates data."""233    schema = DataFrameSchema({"col": Column(Int, Check.gt(0))})234    @check_io(df1=schema, df2=schema, out=schema)235    def simple_func(df1, df2):236        return df1.assign(col=df1["col"] + df2["col"])237    @check_io(df1=schema, df2=schema)238    def simple_func_no_out(df1, df2):239        return df1.assign(col=df1["col"] + df2["col"])240    @check_io(out=(1, schema))241    def output_with_obj_getter(df):...

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