268 lines
94 KiB
Plaintext
268 lines
94 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"%matplotlib inline\n",
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"\n",
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"from vnpy.trader.app.ctaStrategy.ctaBacktesting import BacktestingEngine, OptimizationSetting, MINUTE_DB_NAME\n",
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"from vnpy.trader.app.ctaStrategy.strategy.strategyAtrRsi import AtrRsiStrategy\n",
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"#from vnpy.trader.app.ctaStrategy.strategy.strategyMultiTimeframe import MultiTimeframeStrategy\n",
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"from vnpy.trader.app.ctaStrategy.strategy.strategyMultiSignal import MultiSignalStrategy"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"# 创建回测引擎对象\n",
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"engine = BacktestingEngine()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"# 设置回测使用的数据\n",
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"engine.setBacktestingMode(engine.BAR_MODE) # 设置引擎的回测模式为K线\n",
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"engine.setDatabase(MINUTE_DB_NAME, 'IF0000') # 设置使用的历史数据库\n",
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"engine.setStartDate('20130101') # 设置回测用的数据起始日期"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"# 配置回测引擎参数\n",
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"engine.setSlippage(0.2) # 设置滑点为股指1跳\n",
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"engine.setRate(0.3/10000) # 设置手续费万0.3\n",
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"engine.setSize(300) # 设置股指合约大小 \n",
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"engine.setPriceTick(0.2) # 设置股指最小价格变动 \n",
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"engine.setCapital(1000000) # 设置回测本金"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"# 在引擎中创建策略对象\n",
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"d = {'atrLength': 11} # 策略参数配置\n",
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"engine.initStrategy(AtrRsiStrategy, d) # 创建策略对象\n",
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"#ngine.initStrategy(MultiTimeframeStrategy, d) \n",
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"#engine.initStrategy(MultiSignalStrategy, {}) "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"2018-01-09 09:54:42.212000\t开始载入数据\n",
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"2018-01-09 09:54:42.331000\t载入完成,数据量:285480\n",
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"2018-01-09 09:54:42.331000\t开始回测\n",
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"2018-01-09 09:54:42.402000\t策略初始化完成\n",
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"2018-01-09 09:54:42.402000\t策略启动完成\n",
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"2018-01-09 09:54:42.402000\t开始回放数据\n",
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"2018-01-09 09:55:10.816000\t数据回放结束\n"
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]
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}
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],
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"source": [
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"# 运行回测\n",
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"engine.runBacktesting() # 运行回测"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"2018-01-09 09:55:10.822000\t计算按日统计结果\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"C:\\Github\\vnpy\\vnpy\\vnpy\\trader\\app\\ctaStrategy\\ctaBacktesting.py:971: RuntimeWarning: invalid value encountered in log\n",
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" df['return'] = (np.log(df['balance']) - np.log(df['balance'].shift(1))).fillna(0)\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"2018-01-09 09:55:11.113000\t------------------------------\n",
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"2018-01-09 09:55:11.113000\t首个交易日:\t2013-01-11\n",
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"2018-01-09 09:55:11.114000\t最后交易日:\t2017-07-14\n",
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"2018-01-09 09:55:11.114000\t总交易日:\t1095\n",
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"2018-01-09 09:55:11.114000\t盈利交易日\t399\n",
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"2018-01-09 09:55:11.114000\t亏损交易日:\t696\n",
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"2018-01-09 09:55:11.114000\t起始资金:\t1000000\n",
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"2018-01-09 09:55:11.114000\t结束资金:\t-1,583,699.42\n",
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"2018-01-09 09:55:11.114000\t总收益率:\t-258.37\n",
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"2018-01-09 09:55:11.114000\t年华收益率:\t-56.63\n",
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"2018-01-09 09:55:11.114000\t总盈亏:\t-2,583,699.42\n",
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"2018-01-09 09:55:11.114000\t最大回撤: \t-2,666,357.75\n",
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"2018-01-09 09:55:11.114000\t百分比最大回撤: \t-246.28\n",
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"2018-01-09 09:55:11.114000\t总手续费:\t1,772,319.42\n",
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"2018-01-09 09:55:11.114000\t总滑点:\t3,900,600.0\n",
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"2018-01-09 09:55:11.114000\t总成交金额:\t59,077,313,940.0\n",
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"2018-01-09 09:55:11.114000\t总成交笔数:\t50,395.0\n",
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"2018-01-09 09:55:11.114000\t日均盈亏:\t-2,359.54\n",
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"2018-01-09 09:55:11.114000\t日均手续费:\t1,618.56\n",
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"2018-01-09 09:55:11.114000\t日均滑点:\t3,562.19\n",
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"2018-01-09 09:55:11.114000\t日均成交金额:\t53,951,884.88\n",
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"2018-01-09 09:55:11.114000\t日均成交笔数:\t46.02\n",
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"2018-01-09 09:55:11.114000\t日均收益率:\t-0.97%\n",
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"2018-01-09 09:55:11.114000\t收益标准差:\t24.5%\n",
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"2018-01-09 09:55:11.114000\tSharpe Ratio:\t-0.61\n"
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]
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},
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{
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"data": {
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evejxgw9CRgbUqgXp6ZIUPv540fN798Lp0/L1xImwZYtMnffrB6NHy3uhlFJKKcdUaslh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5Ga+i1MpvO4cOEAAKBXrxkAjkY2MAoIk0MiIiLqEpPJhCNHDuKvfz2KU6dO4ZtvvsGiRVMADEJS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\nAAzCIQAAAAzCIQAAAIz/B/UsfCA7ANAwAAAAAElFTkSuQmCC\n",
|
||
"text/plain": [
|
||
"<matplotlib.figure.Figure at 0xf4353b0>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# 显示逐日回测结果\n",
|
||
"engine.showDailyResult()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"# 显示逐笔回测结果\n",
|
||
"engine.showBacktestingResult()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"# 显示前10条成交记录\n",
|
||
"for i in range(10):\n",
|
||
" d = engine.tradeDict[str(i+1)].__dict__\n",
|
||
" print 'TradeID: %s, Time: %s, Direction: %s, Price: %s, Volume: %s' %(d['tradeID'], d['dt'], d['direction'], d['price'], d['volume'])"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"# 优化配置\n",
|
||
"setting = OptimizationSetting() # 新建一个优化任务设置对象\n",
|
||
"setting.setOptimizeTarget('totalNetPnl') # 设置优化排序的目标是策略净盈利\n",
|
||
"setting.addParameter('atrLength', 12, 16, 2) # 增加第一个优化参数atrLength,起始12,结束20,步进2\n",
|
||
"setting.addParameter('atrMa', 20, 30, 5) # 增加第二个优化参数atrMa,起始20,结束30,步进5\n",
|
||
"setting.addParameter('rsiLength', 5) # 增加一个固定数值的参数\n",
|
||
"\n",
|
||
"# 执行多进程优化\n",
|
||
"import time\n",
|
||
"start = time.time()\n",
|
||
"resultList = engine.runParallelOptimization(AtrRsiStrategy, setting)\n",
|
||
"print u'耗时:%s' %(time.time()-start)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"# 显示优化的所有统计数据\n",
|
||
"for result in resultList:\n",
|
||
" print '-' * 30\n",
|
||
" print u'参数:%s,目标:%s' %(result[0], result[1])\n",
|
||
" print u'统计数据:'\n",
|
||
" for k, v in result[2].items():\n",
|
||
" print u'%s:%s' %(k, v)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {
|
||
"collapsed": true
|
||
},
|
||
"outputs": [],
|
||
"source": []
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 2",
|
||
"language": "python",
|
||
"name": "python2"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 2
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython2",
|
||
"version": "2.7.13"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 0
|
||
}
|