How to perform an anti-join, or left outer join, (get all the rows in a dataset which are not in another based on multiple keys) in pandas
问题 I have two datasets: df1 = pd.DataFrame(data = {'label1': ['A', 'A', 'B', 'C'], 'label2': ['a', 'b', 'c', 'd'], 'value': [1,2,3,4]}) df2 = pd.DataFrame(data = {'label1': ['A', 'A', 'D', 'E'], 'label'2': ['a', 'd', 'c','e'], 'value2': [10,12,23,14]}) I would like to perform an anti-join so that the resulting data frame contains the rows of df1 where the key [['label1', 'label2']] is not found in df2. The resulting df should be: label1 label2 value A b 2 B c 3 C d 4 In R using dplyr, the code