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from __future__ import (absolute_import, division, print_function,\n unicode_literals)\n\nimport datetime # For datetime objects\nimport os.path # To manage paths\nimport sys # To find out the script name (in argv[0])\n\n# Import the backtrader platform\nimport backtrader as bt\n\ndef get_dataframe():\n # Get a pandas dataframe\n datapath = '.\/600000.SH_stockinfo.csv'\n tmpdatapath = '.\/600000.SH_stockinfo_tmp.csv'\n print('-----------------------read csv---------------------------')\n dataframe = pd.read_csv(datapath,\n skiprows=0,\n header=0,\n parse_dates=True,\n index_col=0)\n dataframe.trade_date = pd.to_datetime(dataframe.trade_date, format=\"%Y%m%d\")\n dataframe['openinterest'] = '0'\n feedsdf = dataframe[['trade_date', 'open', 'high', 'low', 'close', 'vol', 'openinterest']]\n feedsdf.columns =['datetime', 'open', 'high', 'low', 'close', 'volume', 'openinterest']\n feedsdf.set_index(keys='datetime', inplace =True)\n feedsdf.iloc[::-1].to_csv(tmpdatapath)\n feedsdf = pd.read_csv(tmpdatapath, skiprows=0, header=0, parse_dates=True, index_col=0)\n if os.path.isfile(tmpdatapath):\n os.remove(tmpdatapath)\n print(tmpdatapath+\" removed!\")\n return feedsdf\n\nif __name__ == '__main__':\n # Create a cerebro entity\n cerebro = bt.Cerebro()\n\n # Datas are in a subfolder of the samples. Need to find where the script is\n # because it could have been called from anywhere\n\n # Get a pandas dataframe\n #(\u83b7\u53d6dataframe\u683c\u5f0f\u80a1\u7968\u6570\u636e\uff0c\u8fd9\u91cc\u505a\u4e86\u5bf9csv\u683c\u5f0f\u7684\u89e3\u6790\uff0c\u6570\u636e\u8f6c\u6362\u4e3aCerebro\u9700\u8981\u7684\u6570\u636e\u683c\u5f0f)\n feedsdf = get_dataframe()\n \n # Pass it to the backtrader datafeed and add it to the cerebro(\u52a0\u5165\u6570\u636e)\n data = bt.feeds.PandasData(dataname=feedsdf)\n\n # Add the Data Feed to Cerebro\n cerebro.adddata(data)\n\n # Set our desired cash start\n cerebro.broker.setcash(100000.0)\n\n # Print out the starting conditions\n print('Starting Portfolio Value: %.2f' % cerebro.broker.getvalue())\n\n # Run over everything\n cerebro.run()\n\n # Print out the final result\n print('Final Portfolio Value: %.2f' % cerebro.broker.getvalue())<\/code><\/pre>\n\n\n\n\u6267\u884c\u540e\uff0c\u8f93\u51fa\u5982\u4e0b\uff1a<\/pre>\n\n\n\nStarting Portfolio Value: 1000000.00\nFinal Portfolio Value: 1000000.00<\/code><\/pre>\n\n\n\n\u6837\u4f8b\u4ee3\u7801\u53d8\u957f\uff0c\u8f93\u51fa\u7ed3\u679c\u6ca1\u6709\u53d8\u5316\u3002\u4e2d\u95f4\u589e\u52a0\u4e86\u4ee5\u4e0b\u7684\u5185\u5bb9\uff1a<\/p>\n\n\n\n
\u5982\u4f55\u8bfb\u53d6\u672c\u5730\u7684\u6570\u636e\u96c6<\/p>\n\n\n\n
\u5982\u4f55\u8f6c\u6362\u6570\u636e\u4e3acerebro\u9700\u8981\u7684\u683c\u5f0f<\/p>\n\n\n\n
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