import pandas as pdfrom matplotlib import pyplot as pltfrom matplotlib import rcParams#設(shè)置圖表字體，防止中文亂碼rcParams['font.family'] = 'Microsoft YaHei'rcParams['font.sans-serif'] = 'Microsoft YaHei'
data = pd.read_csv('data.csv')ages = data['Age']dev_salaries = data['All_Devs']py_salaries = data['Python']js_salaries = data['JavaScript']
plt.plot(ages,dev_salaries,color='#444444',    linestyle='--',label='所有開發(fā)人員薪水'  )plt.plot(ages,py_salaries,label='Python開發(fā)薪水')#使用fill_between()方法進(jìn)行填充區(qū)域#where 當(dāng)python開發(fā)薪水大于所有開發(fā)薪水時(shí)候#interpolate 定義填充區(qū)域?yàn)門ure#color:區(qū)域顏色#alpha :設(shè)置透明度plt.fill_between(ages,py_salaries, dev_salaries,  where=(py_salaries>dev_salaries),  interpolate=True,color='yellow',alpha=0.25,  label='高于指定薪水薪水')#使用fill_between()方法進(jìn)行填充區(qū)域#where 當(dāng)python開發(fā)薪水小于等于所有開發(fā)薪水時(shí)候#interpolate 定義填充區(qū)域?yàn)門ure#color:區(qū)域顏色#alpha :設(shè)置透明度plt.fill_between(ages,py_salaries,dev_salaries,  where=(py_salaries<=dev_salaries),  interpolate=True,color='red',alpha=0.25,  label='低于指定薪水')plt.legend()plt.title('按年齡計(jì)算中等工資')plt.xlabel('年齡')plt.ylabel('中等工資')plt.tight_layout()plt.show()