Matplotlib，具有共享色带的多个散点子图

import matplotlib.pyplot as plt
import numpy as np

# 创建数据
x = np.random.rand(100)
y1 = np.random.rand(100)
y2 = np.random.rand(100)
y3 = np.random.rand(100)

# 创建子图
fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(12, 4))

# 绘制散点图
sc1 = ax1.scatter(x, y1, c=y1, cmap='viridis')
sc2 = ax2.scatter(x, y2, c=y2, cmap='viridis')
sc3 = ax3.scatter(x, y3, c=y3, cmap='viridis')

# 共享色带
fig.colorbar(sc1, ax=[ax1, ax2, ax3])

# 设置标题和标签
ax1.set_title('Scatter Plot 1')
ax1.set_xlabel('X')
ax1.set_ylabel('Y1')

ax2.set_title('Scatter Plot 2')
ax2.set_xlabel('X')
ax2.set_ylabel('Y2')

ax3.set_title('Scatter Plot 3')
ax3.set_xlabel('X')
ax3.set_ylabel('Y3')

# 显示图形
plt.show()