import matplotlib.pyplot as plt
from random_walk import RandomWalk
# 只要程序处于活动状态，就不断模拟随机漫步
while True:
# 创建一个RandomWalk实例
rw = RandomWalk(50_000)
rw.fill_walk()
# 将所有的点都绘制出来
plt.style.use('classic')
fig, ax = plt.subplots(figsize=(15, 9)) # 调整尺寸
point_numbers = range(rw.num_points)
ax.scatter(rw.x_values, rw.y_values, c=point_numbers,
cmap=plt.cm.Blues, edgecolor='none', s=1) # edgecolor删除点周围轮廓
# 突出起点和终点
ax.scatter(0, 0, c='green', edgecolors='none', s=100)
ax.scatter(rw.x_values[-1], rw.y_values[-1], c='red', edgecolors='none',
s=100)
# 隐藏坐标轴
ax.get_xaxis().set_visible(False)
ax.get_yaxis().set_visible(False)
plt.show()
keep_running = input("Make another walk?(y/n):")
if keep_running == 'n':
break
from random import choice
class RandomWalk():
def __init__(self, num_points=5000):
# 初始化随机漫步的属性
self.num_points = num_points
# 所有随机漫步都始于(0,0)
self.x_values = [0]
self.y_values = [0]
def fill_walk(self):
# 计算随机漫步包含的所有点
# 不断漫步，直到列表到达指定的长度
while len(self.x_values) < self.num_points:
# 决定前进方向以及沿这个方向前进的距离
x_direction = choice([1, -1]) # 右1 左-1
x_distance = choice([0, 1, 2, 3, 4])
x_step = x_direction * x_distance
y_direction = choice([1, -1])
y_distance = choice([0, 1, 2, 3, 4])
y_step = y_direction * y_distance
# 拒绝原地踏步
if x_step == 0 and y_step == 0:
continue
# 计算下一个点的x值和y值
x = self.x_values[-1] + x_step # 最后一个值相加
y = self.y_values[-1] + y_step
self.x_values.append(x) # 附加到末尾
self.y_values.append(y)
