python使用matplotlib绘制双Y轴座标图（有标题，XY轴标签）

先上效果图：

代码：
先导包：

import matplotlib.pylab as plt # 导入绘图包
import matplotlib.pyplot as mp
import numpy as np

再开始绘图：

x_lambda=range(11) #x轴
# 左侧y轴：y1_recall
y1_recall=[0.746535121682016,0.7478350797262016,0.7495115054452305,0.7496154512070707,0.7498688766858469,0.7495455257754897  ,0.7495684090706842,0.7495684090706842,0.7495684090706842,0.7495684090706842,0.7495684090706842]
# 右侧y轴：y2_preceise
y2_preceise=[0.47455049019122314,0.4756946549509488,0.4762285985054871,0.4762667373308113,0.4764955702827563,	    	      0.47645743145743213,0.4764955702827563,0.4764955702827563,0.4764955702827563,0.4764955702827563, 0.4764955702827563]
    	
mp.gcf().set_facecolor(np.ones(3) * 240/255)#设置背景色
fig, ax1 = plt.subplots() # 使用subplots()创建窗口
# 绘制折线图像1, 标签，线宽
ax1.plot(x_lambda, y1_recall, c='orangered', label='recall', linewidth = 1) 
mp.legend(loc=2)
ax2 = ax1.twinx() # 创建第二个座标轴
ax2.plot(x_lambda, y2_preceise, c='blue', label='preceise', linewidth = 1) #同上, 'o-'
mp.legend(loc=4)
plt.grid(True)  # 样式风格：网格型
ax1.set_title("Double Y axis",size=22)  # 大标题
ax1.set_xlabel('lambda',size=18)  
ax1.set_ylabel('recall',size=18)
ax2.set_ylabel('preceise',size=18)
# mp.gcf().autofmt_xdate() # 自动适应刻度线密度，包括x轴，y轴
plt.show()