python可视化-子图画法

代码

import matplotlib.pyplot as plt  
import numpy as np  

plt.figure(figsize=(30,30), dpi=300)  
plt.rcParams['font.family']='Dejavu serif' 
fig, axs = plt.subplots(2, 2)  # 使用axs来获取所有子图的数组    
axs[0, 0].set_xlim(0,10)
axs[0, 0].set_ylim(-1,1)
axs[0, 1].set_xlim(0,10)
axs[0, 1].set_ylim(-1,1)
axs[1, 0].set_xlim(-2,2)
axs[1, 0].set_ylim(0,4)
axs[1, 1].set_xlim(0,6)
axs[1, 1].set_ylim(1,7)
axs[0, 0].set_xticks(np.arange(0,10.1,5))  
axs[0, 0].set_yticks(np.arange(-1,1.1,0.5))  
axs[0, 1].set_xticks(np.arange(0,10.1,5))  
axs[0, 1].set_yticks(np.arange(-1,1.1,0.5))  
axs[1, 0].set_xticks(np.arange(-2,2.1,1))  
axs[1, 0].set_yticks(np.arange(0,4.1,2))  
axs[1, 1].set_xticks(np.arange(0,6.1,1))  
axs[1, 1].set_yticks(np.arange(1,7.1,3))  
#axs[0, 0].set_yticklabels([])  # 隐藏y轴的刻度标签  
# 绘制sin(x)    
xx = np.arange(0, 10, 0.1)  
yy = np.sin(xx)  
axs[0, 0].plot(xx, yy, ls='-', lw=2, c='r', label='y=sinx')  
axs[0, 0].set_title('Fig1.y=sinx', fontsize=10)