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How to use transform_first_arg_with_two_func_args method in pandera

Best Python code snippet using pandera_python

test_decorators.py

Source:test_decorators.py

...189        def transform_first_arg(self, df):190            return _transform_helper(df)191        @check_input(in_schema)192        @check_output(out_schema)193        def transform_first_arg_with_two_func_args(self, df, x):194            return _transform_helper(df)195        @check_input(in_schema, 0)196        @check_output(out_schema)197        def transform_first_arg_with_list_getter(self, df):198            return _transform_helper(df)199        @check_input(in_schema, 1)200        @check_output(out_schema)201        def transform_secord_arg_with_list_getter(self, x, df):202            return _transform_helper(df)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-locals...

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