{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 6.66 s\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "%time from hikyuu.interactive.interactive import *\n",
    "#use_draw_engine('echarts') #use_draw_engine('matplotlib')  #默认为'matplotlib'绘图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1 简单示例\n",
    "========\n",
    "\n",
    "查询并绘制上证指数最后100个交易日的K线数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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QcAFkXmllKe0ioBlZG2u3XA6d0gqF8LOTR11gMgugIQRcAJlXXltOuwhoRicH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\nS1FwAQBYioILAMBSvgBBS4dGwZ7FuwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c1883b6860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "s = sm['sh000001']\n",
    "k = s.getKData(Query(-100))  \n",
    "k.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2 查看与遍历K线数据\n",
    "==========\n",
    "\n",
    "K线数据可以象list一样遍历和查看具体值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "KData{\n",
      "  size : 100\n",
      "  stock: Stock(SH, 000001, 上证指数, 指数, 1, 1990-12-19 0:0:0, +infinity),\n",
      "  query: KQuery(-100, 9223372036854775807, INDEX, DAY, NO_RECOVER)\n",
      " }\n"
     ]
    }
   ],
   "source": [
    "s = sm['sh000001']\n",
    "k = s.getKData(Query(-100))  \n",
    "print(k)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<KRecord(Datetime(201712250000), 3296.2100, 3312.3000, 3270.4400, 3280.4600, 17729359.0000, 146893635.0000)>,\n",
       " <KRecord(Datetime(201712260000), 3277.8400, 3307.3000, 3274.3300, 3306.1200, 17467926.1000, 142434501.0000)>,\n",
       " <KRecord(Datetime(201712270000), 3302.4600, 3307.0800, 3270.3500, 3275.7800, 19826466.8000, 162674890.0000)>,\n",
       " <KRecord(Datetime(201712280000), 3272.2900, 3304.1000, 3263.7300, 3296.3800, 20801986.5000, 175371670.0000)>,\n",
       " <KRecord(Datetime(201712290000), 3295.2500, 3308.2200, 3292.7700, 3307.1700, 17035675.2000, 141586836.0000)>]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看最后5个交易日的K线值\n",
    "k[-5:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3447.84\n"
     ]
    }
   ],
   "source": [
    "#遍历查询最大收盘价\n",
    "max_close = 0\n",
    "for v in k:\n",
    "    if v.closePrice > max_close:\n",
    "        max_close = v.closePrice\n",
    "print(max_close)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "K线数据（KData）其实是有KRecord组成的数组，KRecord的属性如下："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "日期 -  2017-8-7 0:0:0\n",
      "开盘价 -  3257.67\n",
      "最高价 -  3280.1\n",
      "最低价 -  3243.7200000000003\n",
      "收盘价 -  3279.46\n",
      "成交金额 -  23187437.900000002\n",
      "成交量 -  231173379.0\n"
     ]
    }
   ],
   "source": [
    "print(\"日期 - \", k[0].datetime)\n",
    "print(\"开盘价 - \", k[0].openPrice)\n",
    "print(\"最高价 - \", k[0].highPrice)\n",
    "print(\"最低价 - \", k[0].lowPrice)\n",
    "print(\"收盘价 - \", k[0].closePrice)\n",
    "print(\"成交金额 - \", k[0].transAmount)\n",
    "print(\"成交量 - \", k[0].transCount)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3 Query详解\n",
    "========\n",
    "\n",
    "获取Stock的K线数据，需要指定查询条件，可按索引和日期两种方式查询。\n",
    "\n",
    "构建按索引方式查询条件：Query(start=0, end=None , kType=Query.DAY, recoverType=Query.NO_RECOVER)\n",
    "\n",
    "构建按日期方式查询条件：QueryByDate(start=None, end=None, kType=Query.DAY, recoverType=Query.NO_RECOVER)\n",
    "\n",
    "其中，索引遵循Python的惯用方式，即以0位起始，以[start, end)的方式查询，支持负数表示倒叙; 按日期查询同样遵循[start, end)惯例。\n",
    "\n",
    "kType: 为K线数据类型（日线、分钟线、周线等）:\n",
    "\n",
    "    - Query.DAY      日线\n",
    "    - Query.WEEK     周线\n",
    "    - Query.MONTH    月线\n",
    "    - Query.QUARTER  季线\n",
    "    - Query.HALFYEAR 半年线\n",
    "    - Query.YEAR     年线\n",
    "    - Query.MIN      1分钟线\n",
    "    - Query.MIN5     5分钟线\n",
    "    - Query.MIN15    15分钟线\n",
    "    - Query.MIN30    30分钟线\n",
    "    - Query.MIN60    60分钟线\n",
    "    \n",
    "recoverType：为复权类型（不复权、前向复权、后向复权、等比前向复权、等比后向复权），仅支持日线复权：\n",
    "\n",
    "    - Query.NO_RECOVER     不复权\n",
    "    - Query.FORWARD        前向复权\n",
    "    - Query.BACKWARD       后向复权\n",
    "    - Query.EQUAL_FORWARD  等比前向复权\n",
    "    - Query.EQUAL_BACKWARD 等比后向复权"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3.1 按索引方式查询K线数据\n",
    "-------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#查询股票前100个交易日的K线数据\n",
    "k = s.getKData(Query(0, 100))\n",
    "\n",
    "#查询股票最后100个交易日K线数据\n",
    "k = s.getKData(Query(-100))\n",
    "\n",
    "#查询股票第199个交易日到第209个交易日的K线数据\n",
    "k = s.getKData(Query(200, 210))\n",
    "\n",
    "#查询股票倒数第100个交易日至倒数第10个交易日的K线数据\n",
    "k = s.getKData(Query(-100, -10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "3.2 按日期方式查询K线数据\n",
    "--------------------------\n",
    "\n",
    "按日期查询同样遵循 [start, end) 惯例。\n",
    "\n",
    "日期类型为Hikyuu库中定义的 Datetime，其记录的是“年月日时分”。可使用Python的datetime类型、日期字符串或数字表示法进行构建:\n",
    "\n",
    "- Datetime(datetime.date(2017,1,1))  - 从Python的datetime构建\n",
    "- Datetime('2017-1-1 9:35') - 通过日期字符串构建\n",
    "- Datetime(201701010935) - 通过数字进行构建，数字格式须如“yyyymmddhhmm”（4位年份2位月份2位小时数2位分钟数）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ViQAXAKLS0yO9612SmfSiF4XemU2bQvDw7ndLL3xh6B3LZsOH74EHhoCpkq99bfLD5Zpr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\nXEmSJLWKAVeSJEmtYsCVJElSq/wP9js+ju89VDMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c1aff86828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#查询2017年1月1日至今的日线数据\n",
    "k = s.getKData(QueryByDate(Datetime(201701010000)))\n",
    "\n",
    "#查询2017年1月1日至3月31日日线数据\n",
    "k = s.getKData(QueryByDate(Datetime(201701010000), Datetime(201704010000)))\n",
    "\n",
    "#查询2017年1月5日1分钟线数据\n",
    "k = s.getKData(QueryByDate(Datetime(201701050000), Datetime(201701060000), kType=Query.MIN))\n",
    "k.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3.3 查询复权日线\n",
    "----------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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8X18e82W9tvS1xGfo8tmX6/F3H1eLa9GIqSN04ogTdfb+Z6f9TB6x2xH64d9/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\nBC+A+RUcoZmZAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c1b02743c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "s = sm['sz000603']\n",
    "\n",
    "#查询股票最后100个交易日K线数据，不复权\n",
    "k = s.getKData(Query(-100))\n",
    "k.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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8X18e82W9tvS1xGfo8tmX6/F3H1eLa9GIqSN04ogTdfb+Z6f9TB6x2xH64d9/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\nBC+A+RUcoZmZAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c1b02c2240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#查询股票最后100个交易日K线数据，后向复权\n",
    "k = s.getKData(Query(-100, recoverType=Query.BACKWARD))\n",
    "k.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}