数据可视化-Matplotlib使用子图绘制数据

import pandas as pd
from matplotlib import pyplot as plt
from matplotlib import font_manager

plt.style.use('seaborn')

data = pd.read_csv('data.csv')
ages = data['Age']
dev_salaries = data['All_Devs']
py_salaries = data['Python']
js_salaries = data['JavaScript']
#创建子图
fig, (ax1,ax2) = plt.subplots(nrows=2,ncols=1)
ax1.plot(ages, dev_salaries, color='#444444',
         linestyle='--', label='All Devs')
ax2.plot(ages, py_salaries, label='Python')
ax2.plot(ages, js_salaries, label='JavaScript')
zh_font = font_manager.\
FontProperties(fname='C:\\Windows\\Fonts\\msyh.ttf')

ax1.legend()
ax1.set_title('年龄的平均薪水图',fontproperties=zh_font)
ax1.set_ylabel('平均薪水',fontproperties=zh_font)

ax2.legend()
ax2.set_xlabel('年龄',fontproperties=zh_font)
ax2.set_ylabel('平均薪水',fontproperties=zh_font)

plt.tight_layout()

plt.show()
#保存图表为图片
fig.savefig('fig.png')