pandas 使用apply同时处理两列数据

df = pd.DataFrame ({'a' : np.random.randn(6),
             'b' : ['foo', 'bar'] * 3,
             'c' : np.random.randn(6)})
 
def my_test(a, b):
    return a + b
 
df['Value'] = df.apply(lambda row: my_test(row['a'], row['c']), axis=1)
print(df)

          a    b         c     Value
0 -0.465880  foo  0.479530  0.013650
1 -1.370566  bar  0.120043 -1.250522
2  1.642282  foo  0.644907  2.287189
3  0.910278  bar  1.280750  2.191028
4  1.287553  foo  0.878205  2.165758
5  0.224456  bar  0.903380  1.127835