#!/usr/local/bin/python3#coding=utf-8#source http://www.cnblogs.com/txw1958/import os, io, sys, re, time, json, base64import webbrowser, urllib.requestperiod_All_List = [                    "min",      #分时线                    "daily",    #日K线                    "weekly",   #周K线                    "monthly"   #月K线                  ]period_min = period_All_List[0]period_daily = period_All_List[1]ChinaStockIndexList = [    "000001", # sh000001 上证指数    "399001", # sz399001 深证成指    "000300", # sh000300 沪深300    "399005", # sz399005 中小板指    "399006", # sz399006 创业板指    "000003",  # sh000003 B股指数]ChinaStockIndividualList = [    "000063", #  中兴通讯    "600036", #  招商银行]WorldStockIndexList = [    {
    'code':"000001", 'yahoo':"000001.SS",'name':{
   'chinese':"中国上证指数", 'english':"CHINA SHANGHAI COMPOSITE INDEX"}},    {
    'code':"399001", 'yahoo':"399001.SZ",'name':{
   'chinese':"中国深证成指", 'english':"SZSE COMPONENT INDEX"}},    {
    'code':"DJI", 'yahoo':"^DJI",'name':{
   'chinese':"美国道琼斯工业平均指数", 'english':"Dow Jones Industrial Average"}},    {
    'code':"IXIC", 'yahoo':"^IXIC",'name':{
   'chinese':"美国纳斯达克综合指数", 'english':"NASDAQ Composite"},},    {
    'code':"GSPC", 'yahoo':"^GSPC",'name':{
   'chinese':"美国标准普尔500指数", 'english':"S&P 500"}},    {
    'code':"N225", 'yahoo':"^N225",'name':{
   'chinese':"日本日经225指数", 'english':"NIKKEI 225"}},    {
    'code':"TWII", 'yahoo':"^TWII",'name':{
   'chinese':"台湾台北加权指数", 'english':"TSEC weighted index"}},    {
    'code':"HSI", 'yahoo':"^HSI",'name':{
   'chinese':"香港恒生指数", 'english':"HANG SENG INDEX"}},    {
    'code':"FCHI", 'yahoo':"^FCHI",'name':{
   'chinese':"法国CAC40指数", 'english':"CAC 40"}},    {
    'code':"FTSE", 'yahoo':"^FTSE",'name':{
   'chinese':"英国富时100指数", 'english':"FTSE 100"}},    {
    'code':"GDAXI", 'yahoo':"^GDAXI",'name':{
   'chinese':"德国法兰克福DAX指数", 'english':"DAX"}    }]WorldStockIndexList_SP500 =  WorldStockIndexList[7]#国内股票数据：指数def getChinaStockIndexInfo(stockCode, period):    try:        exchange = "sz" if (int(stockCode) // 100000 == 3) else "sh"        #http://hq.sinajs.cn/list=s_sh000001        dataUrl = "http://hq.sinajs.cn/list=s_" + exchange + stockCode        stdout = urllib.request.urlopen(dataUrl)        stdoutInfo = stdout.read().decode('gb2312')        tempData = re.search('''(")(.+)(")''', stdoutInfo).group(2)        stockInfo = tempData.split(",")        #stockCode = stockCode,        stockName   = stockInfo[0]        stockEnd    = stockInfo[1]  #当前价，15点后为收盘价        stockZD     = stockInfo[2]  #涨跌        stockLastEnd= str(float(stockEnd) - float(stockZD)) #开盘价        stockFD     = stockInfo[3]  #幅度        stockZS     = stockInfo[4]  #总手        stockZS_W   = str(int(stockZS) / 100)        stockJE     = stockInfo[5]  #金额        stockJE_Y   = str(int(stockJE) / 10000)        content = "#" + stockName + "#" + "(" + str(stockCode) + ")" + " 收盘：" \          + stockEnd + "，涨跌：" + stockZD + "，幅度：" + stockFD + "%" \          + "，总手：" + stockZS_W + "万" + "，金额：" + stockJE_Y + "亿" + "  "        imgPath = "http://image.sinajs.cn/newchart/" + period + "/n/" + exchange + str(stockCode) + ".gif"        twitter = {
   'message': content, 'image': imgPath}    except Exception as e:        print(">>>>>> Exception: " + str(e))    else:        return twitter    finally:        None#国内股票数据：个股def getChinaStockIndividualInfo(stockCode, period):    try:        exchange = "sh" if (int(stockCode) // 100000 == 6) else "sz"        dataUrl = "http://hq.sinajs.cn/list=" + exchange + stockCode        stdout = urllib.request.urlopen(dataUrl)        stdoutInfo = stdout.read().decode('gb2312')        tempData = re.search('''(")(.+)(")''', stdoutInfo).group(2)        stockInfo = tempData.split(",")        #stockCode = stockCode,        stockName   = stockInfo[0]  #名称        stockStart  = stockInfo[1]  #开盘        stockLastEnd= stockInfo[2]  #昨收盘        stockCur    = stockInfo[3]  #当前        stockMax    = stockInfo[4]  #最高        stockMin    = stockInfo[5]  #最低        stockUp     = round(float(stockCur) - float(stockLastEnd), 2)        stockRange  = round(float(stockUp) / float(stockLastEnd), 4) * 100        stockVolume = round(float(stockInfo[8]) / (100 * 10000), 2)        stockMoney  = round(float(stockInfo[9]) / (100000000), 2)        stockTime   = stockInfo[31]        content = "#" + stockName + "#(" + stockCode + ")" + " 开盘:" + stockStart \        + ",最新:" + stockCur + ",最高:" + stockMax + ",最低:" + stockMin \        + ",涨跌:" + str(stockUp) + ",幅度:" + str(stockRange) + "%" \        + ",总手:" + str(stockVolume) + "万" + ",金额:" + str(stockMoney) \        + "亿" + ",更新时间:" + stockTime + "  "        imgUrl = "http://image.sinajs.cn/newchart/" + period + "/n/" + exchange + str(stockCode) + ".gif"        twitter = {
   'message': content, 'image': imgUrl}    except Exception as e:        print(">>>>>> Exception: " + str(e))    else:        return twitter    finally:        None#全球股票指数def getWorldStockIndexInfo(stockDict):    try:        #http://download.finance.yahoo.com/d/quotes.csv?s=^IXIC&f=sl1c1p2l        yahooCode = stockDict['yahoo']        dataUrl = "http://download.finance.yahoo.com/d/quotes.csv?s=" + yahooCode + "&f=sl1c1p2l"        stdout = urllib.request.urlopen(dataUrl)        stdoutInfo = stdout.read().decode('gb2312')        tempData = stdoutInfo.replace('"', '')        stockInfo = tempData.split(",")        stockNameCn = stockDict['name']['chinese']        stockNameEn = stockDict['name']['english']        stockCode   = stockDict['code']        stockEnd    = stockInfo[1]  #当前价，5点后为收盘价        stockZD     = stockInfo[2]  #涨跌        stockLastEnd= str(float(stockEnd) - float(stockZD)) #开盘价        stockFD     = stockInfo[3]  #幅度        percent     = float(stockFD.replace("%", ""))        matchResult = re.search("([\w?\s?:]*)(\-)", stockInfo[4])  #日期和最新值        stockDate   = matchResult.group(1)        content = "#" + stockNameCn + "# " + stockNameEn + "(" + stockCode + ")" \          + " 当前：" + stockEnd + ", 涨跌：" + stockZD + ", 幅度：" + stockFD \          + ", 最后交易时间：" + stockDate        twitter = content    except Exception as err:        print(">>>>>> Exception: " + yahooCode + " " + str(err))    else:        return twitter    finally:        Nonedef test_china_index_data():    for stockCode in ChinaStockIndexList:        twitter = getChinaStockIndexInfo(stockCode, period_daily)        print(twitter['message'] + twitter['image'])def test_china_individual_data():    for stockCode in ChinaStockIndividualList:        twitter = getChinaStockIndividualInfo(stockCode, period_min)        print(twitter['message'] + twitter['image'])def test_global_index_data():    for stockDict in WorldStockIndexList:        print(getWorldStockIndexInfo(stockDict))def main():    "main function"    print(base64.b64decode(b'Q29weXJpZ2h0IChjKSAyMDEyIERvdWN1YmUgSW5jLiBBbGwgcmlnaHRzIHJlc2VydmVkLg==').decode())    test_china_index_data()    test_china_individual_data()    test_global_index_data()if __name__ == '__main__':    main()

 

 

 

原文出处： http://www.cnblogs.com/txw1958/  

*** Python 3.2.2 (default, Sep  4 2011, 09:51:08) [MSC v.1500 32 bit (Intel)] on win32. ***>>> #上证指数#(000001) 收盘：2128.765，涨跌：2.761，幅度：0.13%，总手：5207.69万，金额：466.8022亿  http://image.sinajs.cn/newchart/daily/n/sh000001.gif#深证成指#(399001) 收盘：9087.130，涨跌：5.232，幅度：0.06%，总手：626366.6万，金额：475.5102亿  http://image.sinajs.cn/newchart/daily/n/sz399001.gif#沪深300#(000300) 收盘：2349.108，涨跌：1.620，幅度：0.07%，总手：3109.05万，金额：330.4818亿  http://image.sinajs.cn/newchart/daily/n/sh000300.gif#中小板指#(399005) 收盘：4289.397，涨跌：-28.691，幅度：-0.66%，总手：40025.33万，金额：52.3716亿  http://image.sinajs.cn/newchart/daily/n/sz399005.gif#创业板指#(399006) 收盘：703.581，涨跌：-3.144，幅度：-0.44%，总手：18349.6万，金额：30.0858亿  http://image.sinajs.cn/newchart/daily/n/sz399006.gif#Ｂ股指数#(000003) 收盘：217.495，涨跌：-0.164，幅度：-0.08%，总手：23.23万，金额：1.2213亿  http://image.sinajs.cn/newchart/daily/n/sh000003.gif#中兴通讯#(000063) 开盘:11.35,最新:11.48,最高:11.58,最低:11.30,涨跌:0.14,幅度:1.23%,总手:11.01万,金额:1.26亿,更新时间:15:05:51  http://image.sinajs.cn/newchart/min/n/sz000063.gif#招商银行#(600036) 开盘:9.62,最新:9.75,最高:9.86,最低:9.62,涨跌:0.16,幅度:1.67%,总手:53.18万,金额:5.18亿,更新时间:15:02:09  http://image.sinajs.cn/newchart/min/n/sh600036.gif#中国上证指数# CHINA SHANGHAI COMPOSITE INDEX(000001) 当前：2128.765, 涨跌：+2.761, 幅度：+0.13%, 最后交易时间：3:01am #中国深证成指# SZSE COMPONENT INDEX(399001) 当前：9087.13, 涨跌：+5.231, 幅度：+0.06%, 最后交易时间：3:00am >>>>>> Exception: ^DJI list index out of rangeNone#美国纳斯达克综合指数# NASDAQ Composite(IXIC) 当前：2930.03, 涨跌：+36.78, 幅度：+1.27%, 最后交易时间：12:03pm #美国标准普尔500指数# S&P 500(GSPC) 当前：1374.55, 涨跌：+14.53, 幅度：+1.07%, 最后交易时间：12:03pm #日本日经225指数# NIKKEI 225(N225) 当前：8566.64, 涨跌：+123.54, 幅度：+1.46%, 最后交易时间：2:28am #台湾台北加权指数# TSEC weighted index(TWII) 当前：7124.49, 涨跌：+153.80, 幅度：+2.21%, 最后交易时间：1:33am #香港恒生指数# HANG SENG INDEX(HSI) 当前：19274.961, 涨跌：+382.172, 幅度：+2.02%, 最后交易时间：4:01am #法国CAC40指数# CAC 40(FCHI) 当前：3280.19, 涨跌：+73.07, 幅度：+2.28%, 最后交易时间：11:59am #英国富时100指数# FTSE 100(FTSE) 当前：5627.21, 涨跌：+54.05, 幅度：+0.97%, 最后交易时间：11:35am #德国法兰克福DAX指数# DAX(GDAXI) 当前：6689.40, 涨跌：+106.44, 幅度：+1.62%, 最后交易时间：11:45am >>>

 

 

 

#Sina 数据

#

#

 

#var hq_str_sh601006="大秦铁路, 27.55, 27.25, 26.91, 27.55, 26.20, 26.91, 26.92,

#                     22114263, 589824680, 4695, 26.91, 57590, 26.90, 14700, 26.89,

#                     14300,6.88, 15100, 26.87, 3100, 26.92, 8900, 26.93, 14230,

#                     26.94, 25150, 26.95, 15220, 26.96, 2008-01-11, 15:05:32";

 

   0：”大秦铁路”，股票名字；

   1：”27.55″，今日开盘价；

   2：”27.25″，昨日收盘价；

   3：”26.91″，当前价格；//时间结束后也就是收盘价了

   4：”27.55″，今日最高价；

   5：”26.20″，今日最低价；

   6：”26.91″，竞买价，即“买一”报价；

   7：”26.92″，竞卖价，即“卖一”报价；

   8：”22114263″，成交的股票数，由于股票交易以一百股为基本单位，所以在使用时，通常把该值除以一百；

   9：”589824680″，成交金额，单位为“元”，为了一目了然，通常以“万元”为成交金额的单位，所以通常把该值除以一万；

   10：”4695″，“买一”申请4695股，即47手；

   11：”26.91″，“买一”报价；

   12：”57590″，“买二”

   13：”26.90″，“买二”

   14：”14700″，“买三”

   15：”26.89″，“买三”

   16：”14300″，“买四”

   17：”26.88″，“买四”

   18：”15100″，“买五”

   19：”26.87″，“买五”

   20：”3100″，“卖一”申报3100股，即31手；

   21：”26.92″，“卖一”报价 (22, 23), (24, 25), (26,27), (28, 29)分别为“卖二”至“卖四的情况”

   30：”2008-01-11″，日期；

   31：”15:05:32″，时间；

'''

 

'''

上证综合指数（000001），

  上证综合指数

  深圳成指

var hq_str_s_sh000001=”上证指数,3094.668,-128.073,-3.97,436653,5458126″;

数据含义分别为： 指数名称，当前点数，当前价格，涨跌率，成交量（手），成交额（万元）；

    ##['上证指数',  000000

    ##'2377.512', 收盘

    ##'-5.973',   涨跌：

    ##'-0.25',    幅度：

    ##'585346',   总手: /100 万

    ##'5317351']  金额：/1000 亿

 

K线图

 

   日K线

     分时线

 日K线

 周K线

 月K线

 

# 和讯网的图片数据

#

#

'''

Yahoo财经频道获取股票数据的API

=<股票名称>&f=<数据列选项>

参数s — 表示股票名称，多个股票之间使用英文加号分隔，如“XOM+BBDb.TO+JNJ+MSFT”，罗列了四个公司的股票：XOM, BBDb.TO, JNJ, MSFT。 f — 表示返回数据列，如“snd1l1yr”。

示例

返回：

"XOM","Exxon Mobil Corpo","10/7/2010",63.85,2.69,12.33

"BBD-B.TO","BOMBARDIER INC., ","10/7/2010",5.27,1.90,N/A

"JNJ","Johnson & Johnson","10/7/2010",63.22,3.26,13.06

"MSFT","Microsoft Corpora","10/7/2010",24.53,2.12,11.68

上述是获取当前最新的数据，若需要获得历史数据，请使用下面API。

参数s — 股票名称 a — 起始时间，月 b — 起始时间，日 c — 起始时间，年 d — 结束时间，月 e — 结束时间，日 f — 结束时间，年 g — 时间周期。Example: g=w, 表示周期是‘周’。d->‘日’(day), w->‘周’(week)，m->‘月’(mouth)，v->‘dividends only’

一定注意月份参数，其值比真实数据-1。如需要9月数据，则写为08。

示例 查询浦发银行2010.09.25 – 2010.10.8之间日线数据

返回：

Date,Open,High,Low,Close,Volume,Adj Close

2010-09-30,12.37,12.99,12.32,12.95,76420500,12.95

2010-09-29,12.20,12.69,12.12,12.48,79916400,12.48

2010-09-28,12.92,12.92,12.57,12.58,63988100,12.58

2010-09-27,13.00,13.02,12.89,12.94,43203600,12.94

深沪股票代码

yahoo的api是国际性的，是支持国内沪深股市的，但代码稍微变动一下，如浦发银行的代号是：600000.SS。规则是：上海市场末尾加.ss，深圳市场末尾加.sz。

—— EOF ——

参考

Python API Class

附录

雅虎股票API f参数对照表

a Ask a2 Average Daily Volume a5 Ask Size

b Bid b2 Ask (Real-time) b3 Bid (Real-time)

b4 Book Value b6 Bid Size c Change & Percent Change

c1 Change c3 Commission c6 Change (Real-time)

c8 After Hours Change (Real-time) d Dividend/Share d1 Last Trade Date

d2 Trade Date e Earnings/Share e1 Error Indication (returned for symbol changed / invalid)

e7 EPS Estimate Current Year e8 EPS Estimate Next Year e9 EPS Estimate Next Quarter

f6 Float Shares g Day’s Low h Day’s High

j 52-week Low k 52-week High g1 Holdings Gain Percent

g3 Annualized Gain g4 Holdings Gain g5 Holdings Gain Percent (Real-time)

g6 Holdings Gain (Real-time) i More Info i5 Order Book (Real-time)

j1 Market Capitalization j3 Market Cap (Real-time) j4 EBITDA

j5 Change From 52-week Low j6 Percent Change From 52-week Low k1 Last Trade (Real-time) With Time

k2 Change Percent (Real-time) k3 Last Trade Size k4 Change From 52-week High

k5 Percebt Change From 52-week High l Last Trade (With Time) l1 Last Trade (Price Only)

l2 High Limit l3 Low Limit m Day’s Range

m2 Day’s Range (Real-time) m3 50-day Moving Average m4 200-day Moving Average

m5 Change From 200-day Moving Average m6 Percent Change From 200-day Moving Average m7 Change From 50-day Moving Average

m8 Percent Change From 50-day Moving Average n Name n4 Notes

o Open p Previous Close p1 Price Paid

p2 Change in Percent p5 Price/Sales p6 Price/Book

q Ex-Dividend Date r P/E Ratio r1 Dividend Pay Date

r2 P/E Ratio (Real-time) r5 PEG Ratio r6 Price/EPS Estimate Current Year

r7 Price/EPS Estimate Next Year s Symbol s1 Shares Owned

s7 Short Ratio t1 Last Trade Time t6 Trade Links

t7 Ticker Trend t8 1 yr Target Price v Volume

v1 Holdings Value v7 Holdings Value (Real-time) w 52-week Range

w1 Day’s Value Change w4 Day’s Value Change (Real-time) x Stock Exchange

y Dividend Yield