Python 实现绘制子图及子图刻度的变换等问题

accuracy_alexnet_clef = [78.05, 78.43, 78.65, 78.61, 78.69]
accuracy_resnet_clef  = [84.56, 84.84, 85.07, 85.01, 85.13]
accuracy_alexnet_office10 = [87.30, 87.57, 87.78, 87.72, 87.50]
accuracy_resnet_office10  = [96.31, 96.35, 96.62, 96.43, 96.15]
orders = [\'2\', \'3\', \'5\', \'10\', \'20\']
names = [\'alexnet\', \'resnet\']
# 创建两幅子图
f, ax = plt.subplots(2,1,figsize=(6, 8))
# 第一根柱子偏移坐标
x = [i for i in range(len(orders))]
# 第二根柱子偏移坐标
x1 = [i + 0.35 for i in range(len(orders))]
# 两幅子图之间的间距
plt.subplots_adjust(wspace =0, hspace =0.4)
# 选择第一幅图
figure_1 = ax[0]
# 设置x轴偏移和标签
figure_1.set_xticks([i+0.15 for i in x])
figure_1.set_xticklabels(orders)
# 设置y轴的范围
figure_1.set_ylim(bottom=77,top=86)
# 绘制柱状图，x表示x轴内容，accuracy_alexnet_clef表示y轴的内容，alpha表示透明度，width表示柱子宽度
# label表示图列
figure_1.bar(x, accuracy_alexnet_clef, alpha=0.7, width = 0.35, facecolor = \'#4c72b0\', label=\'Alexnet\')
figure_1.bar(x1, accuracy_resnet_clef, alpha=0.7, width = 0.35, facecolor = \'#dd8452\', label=\'Resnet\')
figure_1.set_ylabel(\'Accuracy%\') # 设置y轴的标签
figure_1.set_xlabel(\'Order\') # 设置x轴的名称
figure_1.set_title(\'Alexnet\') # 设置图一标题名称
figure_1.legend() # 显示图一的图例
# 选择第二幅图
figure_2 = ax[1]
figure_1.set_xticks([i+0.15 for i in x])
figure_1.set_xticklabels(orders)
figure_2.set_ylim(bottom=77,top=100)
figure_2.bar(x, accuracy_alexnet_office10,alpha=0.7,width = 0.35,facecolor = \'#c44e52\', label=\'Alexnet\')
figure_2.bar(x1, accuracy_resnet_office10,alpha=0.7,width = 0.35,facecolor = \'#5f9e6e\', label=\'Alexnet\')
# figure_2.bar(orders, accuracy_resnet_clef,alpha=0.7,width = 0.35,facecolor = \'#dd8452\')
figure_2.set_ylabel(\'Accuracy%\')
figure_2.set_xlabel(\'Order\')
figure_2.set_title(\'Resnet\')
figure_2.legend()
f.suptitle(\'ImageCLEF_DA\') # 设置总标题
plt.show()

plt.subplot(211)
plt.figure(1)
plt.hist(x, 10)
plt.title(\"Histogram of sample points\")
plt.subplot(212)
plt.plot(x,X.pdf(x))
plt.title(\"Probability Density Function(PDF)\")
plt.tight_layout()
plt.show()