给出 x∈[0,1),y∈[0,1) 的均匀分布随机点,模拟 t 次,落在以 (0,0) 为圆心,半径 r=1 的圆以内的次数为 c
当模拟次数足够大时,可以看成面积比 4π≈tc⇒π≈4c/t
2. 模拟代码
# -*- coding:utf-8 -*-# @Python Version: 3.7# @Time: 2020/5/2 9:02# @Author: Michael Ming# @Website: https://michael.blog.csdn.net/# @File: monte_carlo_cal_pi.py# @Reference: import random
import matplotlib.pyplot as plt
simulations =[100,1000,10000]
plt.figure()
plt.rcParams['font.sans-serif']='SimHei'# 消除中文乱码
plotid =1
color =['r','b']for i inrange(len(simulations)):
f = plt.subplot(1,3, plotid)
plotid +=1
count =0
t = simulations[i]
time = simulations[i]while time >0:
time -=1
x = random.random()# [0,1)
y = random.random()# [0,1)
val = x **2+ y **2
pos =1if(val <1):
pos =0
count +=1
f.scatter(x, y, c=color[pos])
pi =4* count / t
f.set_title("模拟次数{},pi的值{:.4f}".format(t, pi))
plt.suptitle("蒙特卡罗法近似求解圆周率pi")
plt.show()