在python中获取随机布尔值? [英] Get a random boolean in python?
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问题描述
我正在寻找最好的方法(快速而优雅)来获取python中的随机布尔值(翻转硬币).
I am looking for the best way (fast and elegant) to get a random boolean in python (flip a coin).
目前我正在使用random.randint(0, 1)
或random.getrandbits(1)
.
还有我不知道的更好的选择吗?
Are there better choices that I am not aware of?
推荐答案
Adam的回答相当快,但是我发现random.getrandbits(1)
要快得多.如果您真的想要布尔值而不是long值,那么
Adam's answer is quite fast, but I found that random.getrandbits(1)
to be quite a lot faster. If you really want a boolean instead of a long then
bool(random.getrandbits(1))
的速度仍然是random.choice([True, False])
两个解决方案都需要import random
如果速度不是最高优先级,那么random.choice
绝对读起来更好
If utmost speed isn't to priority then random.choice
definitely reads better
$ python -m timeit -s "import random" "random.choice([True, False])"
1000000 loops, best of 3: 0.904 usec per loop
$ python -m timeit -s "import random" "random.choice((True, False))"
1000000 loops, best of 3: 0.846 usec per loop
$ python -m timeit -s "import random" "random.getrandbits(1)"
1000000 loops, best of 3: 0.286 usec per loop
$ python -m timeit -s "import random" "bool(random.getrandbits(1))"
1000000 loops, best of 3: 0.441 usec per loop
$ python -m timeit -s "import random" "not random.getrandbits(1)"
1000000 loops, best of 3: 0.308 usec per loop
$ python -m timeit -s "from random import getrandbits" "not getrandbits(1)"
1000000 loops, best of 3: 0.262 usec per loop # not takes about 20us of this
在看到@Pavel的答案后添加了这个
Added this one after seeing @Pavel's answer
$ python -m timeit -s "from random import random" "random() < 0.5"
10000000 loops, best of 3: 0.115 usec per loop
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