import requests
import time
import execjs
import matplotlib.pyplot as plt
def getUrl(fscode):
head = 'http://fund.eastmoney.com/pingzhongdata/'
tail = '.js?v='+ time.strftime("%Y%m%d%H%M%S",time.localtime())
return head+fscode+tail
#获取净值
def getWorth(fscode):
#用requests获取到对应的文件
content = requests.get(getUrl(fscode))
#使用execjs获取到相应的数据
jsContent = execjs.compile(content.text)
name = jsContent.eval('fS_name')
code = jsContent.eval('fS_code')
#单位净值走势
netWorthTrend = jsContent.eval('Data_netWorthTrend')
#累计净值走势
ACWorthTrend = jsContent.eval('Data_ACWorthTrend')
netWorth = []
ACWorth = []
#提取出里面的净值
for dayWorth in netWorthTrend[::-1]:
netWorth.append(dayWorth['y'])
for dayACWorth in ACWorthTrend[::-1]:
ACWorth.append(dayACWorth[1])
print(name,code)
return netWorth, ACWorth
netWorth, ACWorth = getWorth('003511')
print(netWorth)
plt.figure(figsize=(10,5))
plt.plot(netWorth[:60][::-1])
plt.show()
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