text: import numpy as np
  import pandas as pd
  
  #cjxx1 = pd.read_csv('bks_cjxx_out1-1.csv',usecols = ['xh','xn','xqm','ksrq','kch','kxh','kccj','xf','kcsxdm','xdfsdm'])
  #cjxx2 = pd.read_csv('bks_cjxx_out1-2.csv',usecols = ['xh','xn','xqm','ksrq','kch','kxh','kccj','xf','kcsxdm','xdfsdm'])
  #cjxx = cjxx1.append(cjxx2).reset_index(drop=True)
  chifan = pd.read_csv('../Data/吃饭花费.csv',engine='python')
  result = pd.DataFrame(columns = ['xh','chifan'])
  for index in chifan.index:
      if(chifan.at[index,'time'] == 0):
          result = result.append(pd.DataFrame(
              {'xh': [chifan.at[index, 'xh']], 'chifan': 0}),
              ignore_index=True)
      else:
          result = result.append(pd.DataFrame(
              {'xh': [chifan.at[index,'xh']], 'chifan':[chifan.at[index,'sum']/chifan.at[index,'time']]}), ignore_index=True)
  result.to_csv('../Data/吃饭花费1.csv',index=None,encoding='utf-8')
  '''pksjxx = pd.read_csv('bks_pksjxx_out.csv',usecols = ['xn','xqm','jxdd','xdrs','zxs','kch','kxh','skxq','skjc','cxjc','zcsm'])
  xjjbsjxx = pd.read_csv('bks_xjjbsjxx_out1.csv',usecols = ['xh','yxsh','zym','sznj','xqh'])
  xsjbsjxx = pd.read_csv('bks_xsjbsjxx_out.csv',usecols = ['xh','xb'])
  set_cjxx = set(cjxx['xh'])
  set_xjjbsjxx = set(xjjbsjxx['xh'])
  set_xsjbsjxx = set(xsjbsjxx['xh'])
  
  set_xh = set_cjxx.intersection(set_xsjbsjxx)
  set_xh = set_xh.intersection(set_xjjbsjxx)
  lesson= {}
  print(111111)
  for name in set_xh:
      lesson[name] = [0]*2
  
  re = pd.merge(cjxx,pksjxx,'inner',on = ['xn','xqm','kch'])
  data = re[['xh','skjc']]'''
  #print(cjxx.shape)