如何在使用random.choice时修复种子



这是我在这里发布的问题的后续

import random
l = [11.1, 22.2, 33.3, 11.1, 33.3, 33.3, 22.2, 55.5]
l_new = random.choices(l, k=30)
print(l_new)

CCD_ 1使用来自CCD_。我想通过固定random.choice的种子来每次创建相同的输出。

建议会很有帮助。

获得的输出:运行1:

[33.3, 33.3, 33.3, 33.3, 55.5, 11.1, 11.1, 55.5, 22.2, 11.1, 33.3, 11.1, 55.5, 22.2, 33.3, 22.2, 22.2, 33.3, 55.5, 11.1, 11.1, 55.5, 11.1, 33.3, 11.1, 33.3, 33.3, 22.2, 33.3, 11.1]

运行2:

[22.2, 11.1, 33.3, 55.5, 33.3, 22.2, 33.3, 11.1, 22.2, 11.1, 11.1, 33.3, 33.3, 22.2, 33.3, 22.2, 11.1, 11.1, 55.5, 55.5, 33.3, 11.1, 55.5, 22.2, 33.3, 33.3, 55.5, 22.2, 22.2, 33.3]

预期:

运行1:

[22.2, 11.1, 33.3, 55.5, 33.3, 22.2, 33.3, 11.1, 22.2, 11.1, 11.1, 33.3, 33.3, 22.2, 33.3, 22.2, 11.1, 11.1, 55.5, 55.5, 33.3, 11.1, 55.5, 22.2, 33.3, 33.3, 55.5, 22.2, 22.2, 33.3]

运行2:

[22.2, 11.1, 33.3, 55.5, 33.3, 22.2, 33.3, 11.1, 22.2, 11.1, 11.1, 33.3, 33.3, 22.2, 33.3, 22.2, 11.1, 11.1, 55.5, 55.5, 33.3, 11.1, 55.5, 22.2, 33.3, 33.3, 55.5, 22.2, 22.2, 33.3]

您可以使用random.seed()

import random
l = [11.1, 22.2, 33.3, 11.1, 33.3, 33.3, 22.2, 55.5]
random.seed(1)
l_new = random.choices(l, k=30)
print(l_new)

输出运行1:

[55.5, 55.5, 11.1, 11.1, 22.2, 33.3, 33.3, 33.3, 33.3, 33.3, 33.3, 22.2, 11.1, 11.1, 33.3, 55.5, 55.5, 33.3, 11.1, 33.3, 11.1, 11.1, 11.1, 33.3, 11.1, 55.5, 33.3, 33.3, 22.2, 11.1]

输出运行2:

[55.5, 55.5, 11.1, 11.1, 22.2, 33.3, 33.3, 33.3, 33.3, 33.3, 33.3, 22.2, 11.1, 11.1, 33.3, 55.5, 55.5, 33.3, 11.1, 33.3, 11.1, 11.1, 11.1, 33.3, 11.1, 55.5, 33.3, 33.3, 22.2, 11.1]

此代码每次运行都会生成相同的结果。


如果您使用numpy,则存在numpy.random.seeed()

import numpy
l = [11.1, 22.2, 33.3, 11.1, 33.3, 33.3, 22.2, 55.5]
numpy.random.seed(1)
l_new = list(numpy.random.choice(l, size=30))
print(l_new)

输出运行1:

[33.3, 11.1, 33.3, 11.1, 55.5, 22.2, 11.1, 33.3, 55.5, 11.1, 11.1, 22.2, 33.3, 55.5, 33.3, 33.3, 22.2, 22.2, 33.3, 33.3, 22.2, 33.3, 33.3, 33.3, 11.1, 33.3, 33.3, 33.3, 33.3, 22.2]

输出运行2:

[33.3, 11.1, 33.3, 11.1, 55.5, 22.2, 11.1, 33.3, 55.5, 11.1, 11.1, 22.2, 33.3, 55.5, 33.3, 33.3, 22.2, 22.2, 33.3, 33.3, 22.2, 33.3, 33.3, 33.3, 11.1, 33.3, 33.3, 33.3, 33.3, 22.2]

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