在matplotlib中切断多个图中的重叠图

如何解决在matplotlib中切断多个图中的重叠图

我做了这个代码，效果很好。

import matplotlib.pyplot as plt
import numpy as np
import pylab
from matplotlib.figure import Figure

epsilon = np.linspace (0.001,1,50)

plt.figure(figsize = (18,7),dpi = 80)

fig = Figure()

nu_1 = np.linspace ( 0.3,0.3,50)
N = np.linspace (0,60,50)
N = ((2*(8.8 *10**(-9) - ((8.8 *10**(-9))+(3.513))/(8.8 *10**(-9))))/epsilon*(4*(3.513)+1)**(1/2))* np.arctanh(nu_1)

nu_2 = np.linspace ( 0.2,0.2,50)
M = np.linspace (0,50)
M = ((2*((1.007 *10**(-6)) - ((1.007 *10**(-6))+(3.855))/(1.007 *10**(-6))))/epsilon*(4*(3.855)+1)**(1/2))* np.arctanh(nu_2)

nu_3 = np.linspace ( 0.4,0.4,50)
L = np.linspace (0,50)
L = ((2*((6.72 *10**(-7)) - ((6.72 *10**(-7))+(2.68))/(6.72 *10**(-7))))/epsilon*(4*(2.68)+1)**(1/2))* np.arctanh(nu_3)

plt.subplot(1,3,1)

plt.plot(N,epsilon,color = 'firebrick',linewidth = (1),label = r'$  \xi = 1.6 \times 10^{-3}  $')
plt.legend (loc='upper left',fontsize = 15)
plt.xlabel('Number of E-folds',fontsize = 19)
plt.ylabel('$\epsilon_2$',fontsize = 19)
plt.xticks([0,10,20,30,40,50,60],fontsize = 13)
plt.yticks([0.00001,0.0001,0.001,0.01,0.1,1],fontsize = 13)

plt.subplot(1,2)

plt.plot(M,color = 'darkgreen',label = r'$  \xi = 1.4 \times 10^{-5}  $')
plt.legend(loc='upper left',fontsize = 15)

plt.xlabel('Number of E-folds',fontsize = 19)


plt.xticks([0,fontsize = 13)


plt.subplot(1,3)

plt.plot (L,color = 'navy',label = r'$ \xi = 2.1 \times 10^{-5}  $')
plt.xlabel('Number of E-folds',fontsize = 19)
plt.legend(loc='upper left',fontsize = 15)

plt.xticks([0,fontsize = 13)

plt.tight_layout(6) 

plt.show()

the first result in subplot 但是当我想在一个图中绘制所有这些图形时，其中 2 个被剪掉了，只有一个是完整的。在这方面我应该怎么做？ 问题与重叠有关吗？我想看到所有这些数字的重叠。

import matplotlib.pyplot as plt
import numpy as np
import pylab
from matplotlib.figure import Figure

epsilon = np.linspace (0.001,50)

plt.figure(figsize = (7,5),50)
L = ((2*((6.72 *10**(-7)) - ((6.72 *10**(-7))+(2.68))/(6.72 *10**(-7))))/epsilon*(4*(2.68)+1)**(1/2))* np.arctanh(nu_3)

plt.xticks([0.00001,fontsize = 10)
plt.yticks([0.00001,fontsize = 10)
plt.plot(N,label = r'$  \xi = 1.6 \times 10^{-3}  $')
plt.plot(M,label = r'$  \xi = 1.4 \times 10^{-5}  $')
plt.plot (L,label = r'$ \xi = 2.1 \times 10^{-5}  $')
plt.legend(loc='upper left',fontsize = 14)

plt.xlabel('Number of E-folds',fontsize = 15)
plt.ylabel('$\epsilon_2$',fontsize = 15)
plt.show()

the red circle is the place where plots are cut

我该怎么办？我想看到重叠。