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 Github

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...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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