假设你想在最后合并这些子情节。下面是代码

import numpy as np
import matplotlib.pyplot as plt

#e.x function to plot
x = np.linspace(0, 10)
y = np.exp(x)

#almost your code
figure, axes = plt.subplots(1,1)
res_1, = axes.plot(x,y) #saving the results in a tuple
plt.show()
plt.close(figure)
figure, axes = plt.subplots(1,1)
res_2, = axes.plot(x,-y) #same before
plt.show()

#restructure to merge
figure_2, (axe_1,axe_2) = plt.subplots(1,2)  #defining rows and columns
axe_1.plot(res_1.get_data()[0], res_1.get_data()[1]) #using the already generated data 
axe_2.plot(res_2.get_data()[0], res_2.get_data()[1])
#if you want show them in one

plt.show()

不太明白您的意思：
但不通过使用matplotlib.pyplot.subplots再次绘制它们。
但是你可以在jupyter笔记本上显示两个相邻的图形，方法是：

fig, ax = plt.subplots(nrows=1, ncols=2)

ax[0] = ...  # Code for first figure
ax[1] = ...  # Code for second figure

plt.show()

或在彼此之上：

fig, ax = plt.subplots(nrows=2, ncols=1)

ax[0] = ...  # Top figure
ax[1] = ...  # Bottom figure

plt.show()