将元组数据写入txt文件中

利用urllib库获取雅虎财经数据，得到元组数据

import urllib2
import re
dStr = urllib2.urlopen('https://hk.finance.yahoo.com/q/cp?s=%5EDJI').read()

m = re.findall('<tr><td class="yfnc_tabledata1"><b><a href=".*?">(.*?)a>b>td><td class="yfnc_tabledata1">(.*?)td>.*?<b>(.*?)b>.*?tr>', dStr)

考虑将数据写入到txt文件当中，使用如下代码：

with open('D:\pythoncode\data\yahoofinanicaldata.txt', 'w') as graphd: 
 for row in m:
  print >>graphd, ', '.join(map(str, row))
graphd.close()

能得到
AAPL, 蘋果公司, 111.570
AXP, American Express Company, 72.130
BA, The Boeing Company, 149.770
CAT, Caterpillar Inc., 94.900
CSCO, 思科系統公司, 29.930
CVX, Chevron Corporation, 110.500
DD, E. I. du Pont de Nemours and Company, 70.890
DIS, The Walt Disney Company, 98.970
GE, General Electric Company, 31.250
GS, The Goldman Sachs Group, Inc., 210.350
HD, The Home Depot, Inc., 130.640
IBM, International Business Machines Corporation, 164.520
INTC, 英特爾公司, 35.510
JNJ, Johnson & Johnson, 113.130
JPM, JPMorgan Chase & Co., 78.320
KO, The Coca-Cola Company, 41.750
MCD, McDonald’s Corporation, 121.820
MMM, 3M Company, 172.500
MRK, Merck & Co., Inc., 61.800
MSFT, 微軟公司, 60.610
NKE, NIKE, Inc., 51.010
PFE, Pfizer Inc., 31.540
PG, The Procter & Gamble Company, 83.070
TRV, The Travelers Companies, Inc., 113.810
UNH, UnitedHealth Group Incorporated, 152.110
UTX, United Technologies Corporation, 108.450
V, Visa Inc., 79.080
VZ, Verizon Communications Inc., 51.120
WMT, Wal-Mart Stores Inc., 71.190
XOM, Exxon Mobil Corporation, 86.470