Π值的運(yùn)算（蒙特·卡羅方法）

蒙特·卡羅方法（Monte?Carlo?method），也稱(chēng)統(tǒng)計(jì)模擬方法

#CalPI.py

from random import random

from time import perf_counter

drafts = 10000000

hits = 0.0

start = perf_counter()

for i in range(1,drafts+1):

????x,y = random(),random()

????l = pow(x**2 + y**2, 0.5)

????if l < 1.0:

????????hits = hits + 1

PI = 4 * hits / drafts

print("the PI is {}".format(PI))

print("the time is {}s".format(perf_counter()-start))