matplotlib，佔用兩個地塊空間的子圖

Question

我基本上具有與此example中相同的設置。隨着產量低於

import numpy as np 
import matplotlib.pyplot as plt 

box = dict(facecolor='yellow', pad=5, alpha=0.2) 

fig = plt.figure() 
fig.subplots_adjust(left=0.2, wspace=0.6) 


ax1 = fig.add_subplot(221) 
ax1.plot(2000*np.random.rand(10)) 
ax1.set_title('ylabels not aligned') 
ax1.set_ylabel('misaligned 1', bbox=box) 
ax1.set_ylim(0, 2000) 
ax3 = fig.add_subplot(223) 
ax3.set_ylabel('misaligned 2',bbox=box) 
ax3.plot(np.random.rand(10)) 


labelx = -0.3 # axes coords 

ax2 = fig.add_subplot(222) 
ax2.set_title('ylabels aligned') 
ax2.plot(2000*np.random.rand(10)) 
ax2.set_ylabel('aligned 1', bbox=box) 
ax2.yaxis.set_label_coords(labelx, 0.5) 
ax2.set_ylim(0, 2000) 

ax4 = fig.add_subplot(224) 
ax4.plot(np.random.rand(10)) 
ax4.set_ylabel('aligned 2', bbox=box) 
ax4.yaxis.set_label_coords(labelx, 0.5) 


plt.show() 

的.source代碼和圖片我要擴展這個並添加第五子，將採取兩個地塊的寬度，我不知道怎麼樣，當我試着添加一個我遇到麻煩的圖。

Answer 1

你可以使用subplot2grid：

import numpy as np 
import matplotlib.pyplot as plt 

box = dict(facecolor='yellow', pad=5, alpha=0.2) 

fig = plt.figure() 
fig.subplots_adjust(left=0.2, wspace=0.6) 


# ax1 = fig.add_subplot(221) 
ax1 = plt.subplot2grid((3,2), (0,0)) 
ax1.plot(2000*np.random.rand(10)) 
ax1.set_title('ylabels not aligned') 
ax1.set_ylabel('misaligned 1', bbox=box) 
ax1.set_ylim(0, 2000) 

# ax3 = fig.add_subplot(223) 
ax3 = plt.subplot2grid((3,2), (1,0)) 
ax3.set_ylabel('misaligned 2',bbox=box) 
ax3.plot(np.random.rand(10)) 


labelx = -0.3 # axes coords 

# ax2 = fig.add_subplot(222) 
ax2 = plt.subplot2grid((3,2), (0,1)) 
ax2.set_title('ylabels aligned') 
ax2.plot(2000*np.random.rand(10)) 
ax2.set_ylabel('aligned 1', bbox=box) 
ax2.yaxis.set_label_coords(labelx, 0.5) 
ax2.set_ylim(0, 2000) 

# ax4 = fig.add_subplot(224) 
ax4 = plt.subplot2grid((3,2), (1,1)) 
ax4.plot(np.random.rand(10)) 
ax4.set_ylabel('aligned 2', bbox=box) 
ax4.yaxis.set_label_coords(labelx, 0.5) 

ax5 = plt.subplot2grid((3,2), (2,0), colspan=2) 
ax5.plot(np.random.rand(10)) 
ax5.set_ylabel('misaligned 3', bbox=box) 

plt.show()