Вы должны использовать fig = plt.figure(), после чего добавить два подзаголовка ax = fig.add_subplot (2,2,1) и ax2 = fig.add_subplot (2,2,2). После этого вы можете делать все с помощью ax и ax2.
модифицированный пример из справки:
import numpy as np
import matplotlib.pyplot as plt
N = 5
menMeans = (20, 35, 30, 35, 27)
menStd = (2, 3, 4, 1, 2)
ind = np.arange(N) # the x locations for the groups
width = 0.35 # the width of the bars
fig = plt.figure()
ax = fig.add_subplot(2,2,1)
rects1 = ax.bar(ind, menMeans, width, color='r', yerr=menStd)
womenMeans = (25, 32, 34, 20, 25)
womenStd = (3, 5, 2, 3, 3)
rects2 = ax.bar(ind+width, womenMeans, width, color='y', yerr=womenStd)
# add some text for labels, title and axes ticks
ax.set_ylabel('Scores')
ax.set_title('Scores by group and gender')
ax.set_xticks(ind+width)
ax.set_xticklabels(('G1', 'G2', 'G3', 'G4', 'G5'))
ax.legend((rects1[0], rects2[0]), ('Men', 'Women'))
def autolabel(rects):
# attach some text labels
for rect in rects:
height = rect.get_height()
ax.text(rect.get_x()+rect.get_width()/2., 1.05*height, '%d'%int(height),
ha='center', va='bottom')
autolabel(rects1)
autolabel(rects2)
ax2 = fig.add_subplot(2,2,2)
rects3 = ax2.bar(ind, menMeans, width, color='r', yerr=menStd)
womenMeans = (20, 32, 34, 20, 25)
womenStd = (3, 7, 2, 3, 3)
rects4 = ax2.bar(ind+width, womenMeans, width, color='y', yerr=womenStd)
ax2.set_ylabel('Scores_2')
ax2.set_title('Scores by group and gender_2')
ax2.set_xticks(ind+width)
ax2.set_xticklabels(('G1_2', 'G2_2', 'G3_2', 'G4_2', 'G5_2'))
ax2.legend((rects1[0], rects2[0]), ('Men_2', 'Women_2'))
def autolabel(rects):
# attach some text labels
for rect in rects:
height = rect.get_height()
ax2.text(rect.get_x()+rect.get_width()/2., 1.05*height, '%d'%int(height),
ha='center', va='bottom')
autolabel(rects3)
autolabel(rects4)
plt.show()