pandas 使用apply同时处理两列数据

import numpy as np

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)


#输出结果形如：
#           a    b         c     Value
# 0 -0.276507  foo -3.122166 -3.398672
# 1 -0.589019  bar -1.150915 -1.739934
# 2 -0.485433  foo  1.296634  0.811200
# 3  0.469688  bar -0.554992 -0.085304
# 4  1.297845  foo  1.672957  2.970802
# 5 -0.702724  bar -1.609585 -2.312309
 

多的不说，看了代码就懂了