Beispiel #1
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# -*- coding:utf-8 -*-

import tushare.stock.cons as ct
import tushare.stock.trading as td
import tushare.stock.fundamental as fd

if __name__ == '__main__':
    df = td.get_hist_data('cyb')
    print df  #.ix['2015-01-26 10:30:00']
#     print td.get_realtime_quotes(['600848','sh','sz','000981','zxb','cyb'])
#     df = fd.get_stock_basics()
#     df.to_csv('c:\\allstocks.csv')

#     print get_report_data(2013,4)
#     print get_profit_data(1999,2)
#     print get_operation_data(1999,2)
#     print get_growth_data(2014,3)
#     print get_debtpaying_data(2014,2)
#     print get_cashflow_data(2014,2)
#     print get_stock_basics()
Beispiel #2
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 def test_histData(self):
     self.set_data()
     td.get_hist_data(self.code, start=self.start, end=self.end)
Beispiel #3
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 def test_get_hist_data(self):
     self.set_data()
     print(fd.get_hist_data(self.code, self.start))
Beispiel #4
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import matplotlib.pyplot as plt
import tushare.stock.trading as td

sz = td.get_hist_data(code='sh', start='2015-04-01', end='2015-05-22')
sz = sz[['close']]
close.plot()
plt.show()
Beispiel #5
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 def test_histData(self):
     self.set_data()
     td.get_hist_data(self.code, start=self.start, end=self.end)
Beispiel #6
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 def test_get_hist_data(self):
     self.set_data()
     print(fd.get_hist_data(self.code, self.start))
Beispiel #7
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import tushare.stock.trading as fd


# get your own free bQuandl API key from https://www.quandl.com/


# choose run_example = 0 for everything
# run_example = 1 - create a plain and Keen.io based template for a chart webpage

run_example = 0


if run_example == 1 or run_example == 0:

   
    df1 = fd.get_hist_data("300431",'2017-01-12')
    df1['code'] ="300431"
    df1['300431'] = df1['close']
    df2 = fd.get_hist_data("000786",'2016-03-12')
    df2['000786'] = df2['close']
     
    framses =[df1.filter(items=['300431']),df2.filter(items=['000786'])]
    #dfcontact = pd.concat(framses)
    dfcontact = df1.filter(items=['300431']).append(df2.filter(items=['000786']))
    

    chart_plotly1 = Chart(df=dfcontact, chart_type='line', engine='plotly',
                         style=Style(title="股价对比图", source="Quandl/Fred", scale_factor=-2, width=500, height=300, silent_display=True))


    text = "A demo of chartpy canvas!!"