def __init__(self, date=time.strftime("%Y-%m-%d")):

self.date = date

def base_function(self, id):

if id == None:

print "Input stock id please "

return

stockInfo = ts.get_hist_data(id)

# print type(stockInfo)

# print stockInfo.head()

# print stockInfo.dtypes

df = ts.get_stock_basics()

data = df.ix[id]['timeToMarket']

print data

all_data = ts.get_today_all()

print all_data.ix[id]['name']

def realtime(self, id):

# all_stock=ts.get_today_all()

# print all_stock

df = ts.get_realtime_quotes(id)

# print df[['time','name','price','bid','ask','volume']]

# print df.head()

# price_change = ts.get_today_ticks(id)

# print price_change[['time','change','type','volume']]

big_share = ts.get_sina_dd(id, date=self.date)

print big_share[['time', 'code', 'price', 'preprice', 'volume', 'type']]

print big_share.sort(columns='volume')

def looper(self, id):

while (1):

self.realtime(id)

time.sleep(30)

def getNews(self):

token = '60517739976b768e07823056c6f9cb0fee33ed55a1709b3eaa14a76c6a1b7a56'

ts.set_token(token)

print ts.get_token()

mkt = ts.Market()

df = mkt.TickRTSnapshot(securityID='000001.XSHE')

print df

def longhuban(self, date):

print ts.top_list(date)

print ts.cap_tops()

def get_stock_chengfeng(self):

df = ts.get_sz50s()

# print df

terminal_stock = ts.get_terminated()

print terminal_stock

def fund(self):

fd = ts.Fund()

df = fd.FundDiv(ticker='184688', adjustedType='D', beginDate='20000101',

field='secShortName,effectDate,publishDate,dividendAfTax,dividendBfTax')

print df

dd = ts.fund_holdings(2015, 4)

print dd[['name', 'nums', 'clast', 'amount']]

def date_store(self):

df = ts.get_hist_data("300333")

# df.to_csv("300333.cvs")

df.to_excel("300333.xlsx")

def profit_test(self):

df = ts.profit_data(top=60)

print df.sort_value(by='shares', ascending=False)

def longhubang(self):

df = ts.broker_tops(days=5)

df_save = df.sort_values(by='count', ascending=False)

df_save.to_excel("longhubang-10day.xlsx")

'''

Keep on this

'''

def daily_longhu(self):

# date=self.date

date = '2016-04-05'

df = ts.top_list(date)

now = time.strftime("%Y-%m-%d")

# print now

token = '60517739976b768e07823056c6f9cb0fee33ed55a1709b3eaa14a76c6a1b7a56'

sb = StockBox()

# sb.looper(id)

id = '300333'

# sb.realtime(id)

sb.base_function("300333")

# pandas_test=Pandas_test()

# pandas_test.test_function()

# sb.longhuban('2016-04-05')

# sb.getNews()

# sb.fund()

#sb.get_stock_chengfeng()

#sb.date_store()

#sb.profit_test()

#sb.daily_longhu()

# 获取历史数据 近3年的数据

history = ts.get_hist_data(id)

print u"历史3年的数据"

print history.head(10)

history_all = ts.get_h_data(id, '20015101', '20160101')

print u'所有的历史数据'

print history_all

# print type(stockInfo)

# print stockInfo.head()

# print stockInfo.dtypes

#df = ts.get_stock_basics()

#data = df.ix[id]['timeToMarket']

#print data

# all_stock=ts.get_today_all()

# print all_stock

df = ts.get_realtime_quotes(id)

# print df[['time','name','price','bid','ask','volume']]

# print df.head()

price_change = ts.get_today_ticks(id)

print price_change[['time', 'change', 'type', 'volume']]

big_share = ts.get_sina_dd(id, date='2016-04-01')

token = '60517739976b768e07823056c6f9cb0fee33ed55a1709b3eaa14a76c6a1b7a56'

ts.set_token(token)

print ts.get_token()

mkt = ts.Market()

df = mkt.TickRTSnapshot(securityID='000001.XSHE')

df = ts.get_sz50s()

# print df

terminal_stock = ts.get_terminated()

fd = ts.Fund()

df = fd.FundDiv(ticker='184688', adjustedType='D', beginDate='20000101',

field='secShortName,effectDate,publishDate,dividendAfTax,dividendBfTax')

print df

dd = ts.fund_holdings(2015, 4)

# 获取历史数据 近3年的数据

history = ts.get_hist_data(id)

print u"历史3年的数据"

print history.head(10)

history_all = ts.get_h_data(id, '20015101', '20160101')

print u'所有的历史数据'

print history_all

# print type(stockInfo)

# print stockInfo.head()

# print stockInfo.dtypes

# df = ts.get_stock_basics()

#data = df.ix[id]['timeToMarket']

#print data

# all_stock=ts.get_today_all()

# print all_stock

df = ts.get_realtime_quotes(id)

# print df[['time','name','price','bid','ask','volume']]

# print df.head()

price_change = ts.get_today_ticks(id)

print price_change[['time', 'change', 'type', 'volume']]

big_share = ts.get_sina_dd(id, date='2016-04-01')

token = '60517739976b768e07823056c6f9cb0fee33ed55a1709b3eaa14a76c6a1b7a56'

ts.set_token(token)

print ts.get_token()

mkt = ts.Market()

df = mkt.TickRTSnapshot(securityID='000001.XSHE')

df = ts.get_sz50s()

# print df

terminal_stock = ts.get_terminated()

fd = ts.Fund()

df = fd.FundDiv(ticker='184688', adjustedType='D', beginDate='20000101',

field='secShortName,effectDate,publishDate,dividendAfTax,dividendBfTax')

print df

dd = ts.fund_holdings(2015, 4)