content: # 国债指数：id=0000121;http://pdfm2.eastmoney.com/EM_UBG_PDTI_Fast/api/js?id=0000121&TYPE=k&js=(x)&rtntype=5&isCR=false&fsData1518154947301=fsData1518154947301
  # 沪市企业: id=0000131;http://pdfm2.eastmoney.com/EM_UBG_PDTI_Fast/api/js?id=0000131&TYPE=k&js=(x)&rtntype=5&isCR=false&fsData1518156740923=fsData1518156740923
  # 深圳企业：id=3994812;http://pdfm2.eastmoney.com/EM_UBG_PDTI_Fast/api/js?id=3994812&TYPE=k&js=(x)&rtntype=5&isCR=false&fsData1518156947700=fsData1518156947700
  
  import urllib.request
  import pandas as pd
  import json
  
  class Bond(object):
  	"""docstring for Bond"""
  	def __init__(self):
  		self.index = {
  			'国债指数':'0000121',
  			'沪市企业债':'0000131',
  			'深圳企业债':'3994812'
  		}
  
  	def bond_index(self,id):
  		url = r'http://pdfm2.eastmoney.com/EM_UBG_PDTI_Fast/api/js?id={}&TYPE=k&js=(x)&rtntype=5&isCR=false&fsData1518154947301=fsData1518154947301'.format(id)
  		raw = json.loads(urllib.request.urlopen(url).read())
  		head = ['日期','开盘','收盘','最高','最低','成交量','成交金额','振幅']
  		return pd.DataFrame(list(map(lambda x:x.split(','),raw['data'])),columns=head)