matplotlib에서 크기가 다른 두 그림을 결합하는 방법은 무엇입니까?

@gboffi의 답변 덕분에 내 문제를 해결할 수있었습니다.

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
import mahotas 
import random

f = plt.figure(figsize=(13,4))
ax_curves = f.add_axes((0.10,1.5, 0.33, 0.85))

for cell in range(1,11):

    ax_curves.set_ylim(0,100)
    ax_curves.set_xlim(0,30)
    ax_curves.set_xticks(np.arange(0,21,5))


    ax_curves.plot(np.arange(0,21), random.sample(range(40, 61), 21), label = 'Cell ' + str(cell))
    ax_curves.legend(loc='right',frameon=False)
    ax_curves.spines['right'].set_visible(False)
    ax_curves.spines['top'].set_visible(False)
    ax_curves.set_title('Curves')


for column in np.linspace(0.5, 0.9, 5):    


    cell = 1

    tab10 = matplotlib.cm.get_cmap('tab10')


    for row in np.linspace(2.8, 0.10, 10): 
    # LL corner, width, height in figure coordinates, 0 ≤ x,y,h,w ≤ 1
        ax_images = f.add_axes((column, row, 0.09, 0.27))

        ax_images.axes.get_xaxis().set_visible(False)

        ax_images.tick_params(
                    axis='y',          
                    which='both',     
                    left=False,     
                    right=False,
                    labelleft=False) 

        if column == 0.5:
            ax_images.set_ylabel('Cell ' + str(cell), rotation = 0, color=tab10.colors[cell-1])
            ax_images.yaxis.set_label_coords(-0.4,0.5)

        else :
            pass



        if column == 0.5:
            plt.figtext(column+0.01 , 3.1, '0 hour',fontsize = 20)
#             img = mahotas.imread('path/to/image_t0.tif')
        if column == 0.6:
            plt.figtext(column, 3.1, '5 hours',fontsize = 20)
#             img = mahotas.imread('path/to/image_t5.tif')
        if column == 0.7:
            plt.figtext(column , 3.1, '10 hours', fontsize = 20)
#             img = mahotas.imread('path/to/image_t10.tif')
        if column == 0.8:
            plt.figtext(column, 3.1, '15 hours',fontsize = 20)
#             img = mahotas.imread('path/to/image_t15.tif')
        if column == 0.9:
            plt.figtext(column , 3.1, '20 hours', fontsize = 20)
#             img = mahotas.imread('path/to/image_t20.tif')


#         ax[row, column].imshow(img)

        cell = cell + 1
plt.figtext(0.5,3.33,'Cell sizes through time', fontsize = 20, horizontalalignment='center')

당신의 도움을 주셔서 대단히 감사합니다 !!!