在matplotlib中关闭绘图轴的方法

import matplotlib.pyplot as plt

from random_walk import RandomWalk

# Keep making random walks, as long as the program is active

while True:

rw = RandomWalk()

rw.fill_walk()

point_numbers = list(range(rw.num_points))

plt.scatter(rw.x_values, rw.y_values, c=point_numbers, cmap=plt.cm.Blues, edgecolors='none', s=10)

# Emphasize the first and last points.

plt.scatter(0, 0, c='green', edgecolors='none', s=50)

plt.scatter(rw.x_values[-1], rw.y_values[-1], c='red', s=50)

# Remove the axes.

plt.axes().get_xaxis().set_visible(False)

plt.axes().get_yaxis().set_visible(False)

plt.show()

keep_running = input("Make another walk? (y/n): ")

if keep_running == 'n':

break

import matplotlib.pyplot as plt

from random_walk import RandomWalk

# 解决不能显示中文

plt.rcParams['font.sans-serif'] = ['SimHei']

plt.rcParams['axes.unicode_minus'] = False

while True:

# 创建一个RandomWalk实例，并绘制

rw=RandomWalk()

rw.fill_walk()

points_numbers=list(range(rw.num_points))

# 设置图表标题，并给坐标轴加上标签

plt.title("随机漫步图", fontsize=24)

plt.scatter(rw.x_values,rw.y_values,c=points_numbers,cmap=plt.cm.Blues,edgecolors='none',s=15)

# 隐藏坐标轴

plt.gca().get_xaxis().set_visible(False)

plt.gca().get_yaxis().set_visible(False)

#plt.show()

plt.savefig('sjmb.png',bbox_inches='tight')

keep_running=input("是否要再模拟一次随机漫步？（y/n）:")

if keep_running=='n':

break