Symbol,Price,Date,Time,Change,Volume
"AA",39.48,"6/11/2007","9:36am",-0.18,181800
"AIG",71.38,"6/11/2007","9:36am",-0.15,195500
"AXP",62.58,"6/11/2007","9:36am",-0.46,935000
"BA",98.31,"6/11/2007","9:36am",+0.12,104800
"C",53.08,"6/11/2007","9:36am",-0.25,360900
"CAT",78.29,"6/11/2007","9:36am",-0.23,225400

import csv
#@param: wb:覆盖原来的文件内容
#@param: ab+:追加文件内容
 
with open('input.csv','wb') as f: 
 f_csv = csv.writer(f)
 f_csv.writerow(headers)  #读入项目标签名
#  f_csv.writerows(rows)
 id = 1 
 for row in rows:
  row = list(row)   #转换成list，因为原始是tupple
  row.insert(0,id)   #根据特定的题目要求！
  f_csv.writerow(row)
  id += 1

import csv
with open('stocks.csv') as f:
 f_csv = csv.reader(f)
 headers = next(f_csv)
 for row in f_csv:
  # Process row
  ...

mport csv
with open('stocks.csv') as f:
 f_csv = csv.DictReader(f)
 for row in f_csv:
  # process row
  ...

rows = [('AA', 39.48, '6/11/2007', '9:36am', -0.18, 181800),
   ('AIG', 71.38, '6/11/2007', '9:36am', -0.15, 195500),
   ('AXP', 62.58, '6/11/2007', '9:36am', -0.46, 935000),
  ]
 
with open('stocks.csv','w') as f:
 f_csv = csv.writer(f)
 f_csv.writerow(headers)
 f_csv.writerows(rows)

headers = ['Symbol', 'Price', 'Date', 'Time', 'Change', 'Volume']
rows = [{'Symbol':'AA', 'Price':39.48, 'Date':'6/11/2007',
  'Time':'9:36am', 'Change':-0.18, 'Volume':181800},
  {'Symbol':'AIG', 'Price': 71.38, 'Date':'6/11/2007',
  'Time':'9:36am', 'Change':-0.15, 'Volume': 195500},
  {'Symbol':'AXP', 'Price': 62.58, 'Date':'6/11/2007',
  'Time':'9:36am', 'Change':-0.46, 'Volume': 935000},
  ]
 
with open('stocks.csv','w') as f:
 f_csv = csv.DictWriter(f, headers)
 f_csv.writeheader()
 f_csv.writerows(rows)