import requestsimport timeimport execjsimport matplotlib.pyplot as pltdef 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))   #应用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 = []   #提取出外面的净值 for dayWorth in netWorthTrend[::-1]:        netWorth.append(dayWorth['y'])    for dayACWorth in ACWorthTrend[::-1]:        ACWorth.append(dayACWorth[1])    print(name,code)    return netWorth, ACWorthnetWorth, ACWorth = getWorth('003511')print(netWorth)plt.figure(figsize=(10,5))plt.plot(netWorth[:60][::-1])plt.show()