我想是这里
Automatic exclusion of 'nuisance'columns所描述的。
样品：
df = pd.Dataframe({'C': {0: -0.91985400000000006, 1: -0.042379, 2: 1.2476419999999999, 3: -0.00992, 4: 0.290213, 5: 0.49576700000000001, 6: 0.36294899999999997, 7: 1.548106}, 'A': {0: 'foo', 1: 'bar', 2: 'foo', 3: 'bar', 4: 'foo', 5: 'bar', 6: 'foo', 7: 'foo'}, 'B': {0: 'one', 1: 'one', 2: 'two', 3: 'three', 4: 'two', 5: 'two', 6: 'one', 7: 'three'}, 'D': {0: -1.131345, 1: -0.089328999999999992, 2: 0.33786300000000002, 3: -0.94586700000000001, 4: -0.93213199999999996, 5: 1.9560299999999999, 6: 0.017587000000000002, 7: -0.016691999999999999}})print (df) A B C D0 foo one -0.919854 -1.1313451 bar one -0.042379 -0.0893292 foo two 1.247642 0.3378633 bar three -0.009920 -0.9458674 foo two 0.290213 -0.9321325 bar two 0.495767 1.9560306 foo one 0.362949 0.0175877 foo three 1.548106 -0.016692print( df.groupby('A').mean()) C DAbar 0.147823 0.306945foo 0.505811 -0.344944我想你可以检查一下
Dataframe.dtypes。
