在python中为多个子图创建一个通用的颜色条

import matplotlib.pyplot as plt
import numpy as np

fig, axs = plt.subplots(2, 2)  # 创建2x2的子图布局
x = np.linspace(0, 2 * np.pi, 100)
y1 = np.sin(x)
y2 = np.cos(x)
y3 = np.tan(x)
y4 = np.exp(x)

axs[0, 0].plot(x, y1)
axs[0, 0].set_title('Sin')
axs[0, 1].plot(x, y2)
axs[0, 1].set_title('Cos')
axs[1, 0].plot(x, y3)
axs[1, 0].set_title('Tan')
axs[1, 1].plot(x, y4)
axs[1, 1].set_title('Exp')

fig.colorbar(axs[0, 0].plot(x, y1), ax=axs, orientation='vertical')

plt.show()

import matplotlib.pyplot as plt
import numpy as np

fig, axs = plt.subplots(2, 2)
x = np.linspace(0, 2 * np.pi, 100)
y1 = np.sin(x)
y2 = np.cos(x)
y3 = np.tan(x)
y4 = np.exp(x)

axs[0, 0].plot(x, y1)
axs[0, 0].set_title('Sin')
axs[0, 1].plot(x, y2)
axs[0, 1].set_title('Cos')
axs[1, 0].plot(x, y3)
axs[1, 0].set_title('Tan')
axs[1, 1].plot(x, y4)
axs[1, 1].set_title('Exp')

fig.colorbar(axs[0, 0].plot(x, y1), ax=axs, orientation='vertical')

plt.show()