from random import choice
class Randomwalk():
#一个生成随机漫步数据的类
def __init__(self,num_points=5000):
"""初始化随机漫步的属性"""
self.num_points = num_points
#所有的随机数据都起始于（0,0)
self.x_values = [0]
self.y_values = [0]
def fill_walk(self):
"""计算随机漫步的所有点"""
while len(self.x_values) < self.num_points:
#设置前进的方向和距离
x_direction = choice([1,-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
next_x = self.x_values[-1] + x_step
next_y = self.y_values[-1] + y_step
self.x_values.append(next_x)
self.y_values.append(next_y)
from matplotlib import pyplot as plt
from randomwalk import Randomwalk
#创建一个实例，并将其所包含的点都绘制出来#
while True:
rw = Randomwalk(10000)
"""增加随机漫步的点数，改成为10000个"""
rw.fill_walk()
#调整图标的尺寸以适应屏幕
plt.figure(figsize=(10,6))
#给绘制点上色
points_numbers = list(range(rw.num_points))
plt.scatter(rw.x_values,rw.y_values,c=points_numbers,cmap=plt.cm.Blues,edgecolor='none',s=1)
#着重突出起点和终点
plt.scatter(0,0,c='red',edgecolor='none',s=100)
plt.scatter(rw.x_values[-1],rw.y_values[-1],c='green',edgecolor='none',s=100)
#隐藏坐标轴，突出随机漫步的路径，使用axes函数
plt.axes().get_xaxis().set_visible(False)
plt.axes().get_yaxis().set_visible(False)
plt.show()
#模拟多次随机漫步，使用input加if循环
keep_running = input('Make another walk?(y/n)')
if keep_running == 'n':
break
