数据分析随机漫步

from random import choice
import matplotlib.pyplot as plt

class Randonmwalk():
“”“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的点"""
    """不断漫步直到到达指定长度"""
    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])
        x_distance = choice([0, 1, 2, 3, 4])
        x_step = x_direction * x_distance
        y_direction = choice([1, -11])
        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和y的值
        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)

while True:
rw = Randonmwalk(5000)
rw.fill_walk()
# 设置尺寸来适合屏幕
plt.figure(figsize=(10, 6))
point_numbers = list(range(rw.num_points))
plt.scatter(rw.x_values, rw.y_values, c=point_numbers, cmap=plt.cm.Blues, edgecolor=‘none’, s=15)
# 突出起点和终点
plt.scatter(0, 0, c=‘green’, edgecolors=‘none’, s=100)
plt.scatter(rw.x_values[-1], rw.y_values[-1], c=‘red’, edgecolors=‘none’, s=100)
# 隐藏坐标
plt.axes().get_xaxis().set_visible(False)
plt.axes().get_yaxis().set_visible(False)

plt.show()
keep_running = input("Make the another walk? (y/n): ")
if keep_running == 'n':
    break