1. 绘制样式如图所示
  2. matplotlib绘制折线图,带折线图的值_边距

  3. 绘制代码如下
AlexNet_acc = [75.43, 75.38, 75.55, 75.37, 75.26, 75.11, 74.30]
ResNet_acc = [82.48, 82.58, 82.76, 82.65, 82.67, 82.55, 82.40]
names = [0.01, 0.03, 0.05, 0.07, 0.1, 0.5, 1]
x = range(len(names))
plt.plot(x, ResNet_acc, marker='o', mec='#64B5CD',ms=10, mfc='#64B5CD', c = '#64B5CD', label='ResNet')

plt.plot(x, AlexNet_acc, marker='^', mec='#C75557',ms=12, mfc='#C75557', ls='--', c = '#C75557', label='AlexNet')

plt.legend() # 让图例生效
plt.xticks(x, names) # 让x轴的刻度以names标签显示

# 绘制图的数值
for i in range(len(AlexNet_acc)):
plt.text(x[i], AlexNet_acc[i] + 0.5, '%s' %round(AlexNet_acc[i],3), ha='center', fontsize=10)
for i in range(len(ResNet_acc)):
plt.text(x[i], ResNet_acc[i] - 1, '%s' %round(ResNet_acc[i],3), ha='center', fontsize=10, va='bottom')

# 调整图与y的边距
plt.margins(0.05)
plt.subplots_adjust(bottom=0.15)
plt.xlabel(u"Hyperparameter C") #X轴标签
plt.ylabel("Accuracy%") #Y轴标签
plt.yticks(np.arange(74, 84, step=1))
# plt.title("Stability Analysis on Hyperparameter C") #标题
# plt.grid(linestyle='--') # 展示网格
plt.grid(False) # 展示网格
ax=plt.gca()##获取坐标轴信息,gca=get current axic
print(ax)
ax.spines['right'].set_color('none')##设置右边框颜色为无
ax.spines['top'].set_color('none')

ax.xaxis.set_ticks_position('bottom')##位置有bottom(left),top(right),both,default,none
ax.yaxis.set_ticks_position('left')##定义坐标轴是哪个轴,默认为bottom(left)
ax.spines['bottom'].set_position(('data',74 ))##移动x轴,到y=0
ax.spines['left'].set_position(('data',-0.5))##还有outward(向外移动),axes(比例移动,后接小数)

plt.show()