random.seed()设置可复用的随机结果

例子:

 #Simple python programme to understand random.seed() importance

import random

random.seed(10)
print(random.randint(1,100))
#和seed 10 结果一样
random.seed(10)
print(random.randint(1,100))

random.seed(11)
print(random.randint(1,100))

#没有对应seed的时候
random.seed(10)
print(random.randint(1,100))
#和seed 11 结果一样
random.seed(11)
print(random.randint(1,100))

74
74
58
74
58

例子2:

import random
import numpy as np

np.random.seed(10)
print(np.random.random())
#和seed 10 结果一样
np.random.seed(10)
print(np.random.random())

np.random.seed(11)
print(np.random.random())

#没有对应seed的时候

print(np.random.random())
#和seed 11 结果一样
np.random.seed(11)
print(np.random.random())

0.771320643266746
0.771320643266746
0.1802696888767692
0.019475241487624584
0.1802696888767692

参考:

https://stackoverflow.com/questions/22639587/random-seed-what-does-it-do

猜你喜欢

转载自blog.csdn.net/nockinonheavensdoor/article/details/80506364