data download.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting finance-datareader\n",
      "  Downloading finance_datareader-0.9.31-py3-none-any.whl (17 kB)\n",
      "Requirement already satisfied, skipping upgrade: lxml in c:\\users\\tlagu\\anaconda3\\lib\\site-packages (from finance-datareader) (4.6.1)\n",
      "Collecting requests-file\n",
      "  Downloading requests_file-1.5.1-py2.py3-none-any.whl (3.7 kB)\n",
      "Note: you may need to restart the kernel to use updated packages.Requirement already satisfied, skipping upgrade: pandas>=0.19.2 in c:\\users\\tlagu\\anaconda3\\lib\\site-packages (from finance-datareader) (1.1.3)\n",
      "Requirement already satisfied, skipping upgrade: requests>=2.3.0 in c:\\users\\tlagu\\anaconda3\\lib\\site-packages (from finance-datareader) (2.24.0)\n",
      "Requirement already satisfied, skipping upgrade: tqdm in c:\\users\\tlagu\\anaconda3\\lib\\site-packages (from finance-datareader) (4.50.2)\n",
      "Requirement already satisfied, skipping upgrade: six in c:\\users\\tlagu\\anaconda3\\lib\\site-packages (from requests-file->finance-datareader) (1.15.0)\n",
      "Requirement already satisfied, skipping upgrade: pytz>=2017.2 in c:\\users\\tlagu\\anaconda3\\lib\\site-packages (from pandas>=0.19.2->finance-datareader) (2020.1)\n",
      "Requirement already satisfied, skipping upgrade: numpy>=1.15.4 in c:\\users\\tlagu\\anaconda3\\lib\\site-packages (from pandas>=0.19.2->finance-datareader) (1.19.2)\n",
      "\n",
      "Requirement already satisfied, skipping upgrade: python-dateutil>=2.7.3 in c:\\users\\tlagu\\anaconda3\\lib\\site-packages (from pandas>=0.19.2->finance-datareader) (2.8.1)\n",
      "Requirement already satisfied, skipping upgrade: certifi>=2017.4.17 in c:\\users\\tlagu\\anaconda3\\lib\\site-packages (from requests>=2.3.0->finance-datareader) (2020.6.20)\n",
      "Requirement already satisfied, skipping upgrade: idna<3,>=2.5 in c:\\users\\tlagu\\anaconda3\\lib\\site-packages (from requests>=2.3.0->finance-datareader) (2.10)\n",
      "Requirement already satisfied, skipping upgrade: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in c:\\users\\tlagu\\anaconda3\\lib\\site-packages (from requests>=2.3.0->finance-datareader) (1.25.11)\n",
      "Requirement already satisfied, skipping upgrade: chardet<4,>=3.0.2 in c:\\users\\tlagu\\anaconda3\\lib\\site-packages (from requests>=2.3.0->finance-datareader) (3.0.4)\n",
      "Installing collected packages: requests-file, finance-datareader\n",
      "Successfully installed finance-datareader-0.9.31 requests-file-1.5.1\n"
     ]
    }
   ],
   "source": [
    "pip install -U finance-datareader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.9.31'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import FinanceDataReader as fdr\n",
    "fdr.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Symbol</th>\n",
       "      <th>Market</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sector</th>\n",
       "      <th>Industry</th>\n",
       "      <th>ListingDate</th>\n",
       "      <th>SettleMonth</th>\n",
       "      <th>Representative</th>\n",
       "      <th>HomePage</th>\n",
       "      <th>Region</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>060310</td>\n",
       "      <td>KOSDAQ</td>\n",
       "      <td>3S</td>\n",
       "      <td>특수 목적용 기계 제조업</td>\n",
       "      <td>반도체 웨이퍼 캐리어</td>\n",
       "      <td>2002-04-23</td>\n",
       "      <td>03월</td>\n",
       "      <td>박종익, 김세완 (각자 대표이사)</td>\n",
       "      <td>http://www.3sref.com</td>\n",
       "      <td>서울특별시</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>095570</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td>AJ네트웍스</td>\n",
       "      <td>산업용 기계 및 장비 임대업</td>\n",
       "      <td>렌탈(파렛트, OA장비, 건설장비)</td>\n",
       "      <td>2015-08-21</td>\n",
       "      <td>12월</td>\n",
       "      <td>이현우</td>\n",
       "      <td>http://www.ajnet.co.kr</td>\n",
       "      <td>서울특별시</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>006840</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td>AK홀딩스</td>\n",
       "      <td>기타 금융업</td>\n",
       "      <td>지주사업</td>\n",
       "      <td>1999-08-11</td>\n",
       "      <td>12월</td>\n",
       "      <td>채형석, 이석주(각자 대표이사)</td>\n",
       "      <td>http://www.aekyunggroup.co.kr</td>\n",
       "      <td>서울특별시</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>054620</td>\n",
       "      <td>KOSDAQ</td>\n",
       "      <td>APS홀딩스</td>\n",
       "      <td>기타 금융업</td>\n",
       "      <td>인터넷 트래픽 솔루션</td>\n",
       "      <td>2001-12-04</td>\n",
       "      <td>12월</td>\n",
       "      <td>정기로</td>\n",
       "      <td>http://www.apsholdings.co.kr</td>\n",
       "      <td>경기도</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>265520</td>\n",
       "      <td>KOSDAQ</td>\n",
       "      <td>AP시스템</td>\n",
       "      <td>특수 목적용 기계 제조업</td>\n",
       "      <td>디스플레이 제조 장비</td>\n",
       "      <td>2017-04-07</td>\n",
       "      <td>12월</td>\n",
       "      <td>김영주</td>\n",
       "      <td>http://www.apsystems.co.kr</td>\n",
       "      <td>경기도</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Symbol  Market    Name           Sector             Industry ListingDate  \\\n",
       "0  060310  KOSDAQ      3S    특수 목적용 기계 제조업          반도체 웨이퍼 캐리어  2002-04-23   \n",
       "1  095570   KOSPI  AJ네트웍스  산업용 기계 및 장비 임대업  렌탈(파렛트, OA장비, 건설장비)  2015-08-21   \n",
       "2  006840   KOSPI   AK홀딩스           기타 금융업                 지주사업  1999-08-11   \n",
       "3  054620  KOSDAQ  APS홀딩스           기타 금융업          인터넷 트래픽 솔루션  2001-12-04   \n",
       "4  265520  KOSDAQ   AP시스템    특수 목적용 기계 제조업          디스플레이 제조 장비  2017-04-07   \n",
       "\n",
       "  SettleMonth      Representative                       HomePage Region  \n",
       "0         03월  박종익, 김세완 (각자 대표이사)           http://www.3sref.com  서울특별시  \n",
       "1         12월                 이현우         http://www.ajnet.co.kr  서울특별시  \n",
       "2         12월   채형석, 이석주(각자 대표이사)  http://www.aekyunggroup.co.kr  서울특별시  \n",
       "3         12월                 정기로   http://www.apsholdings.co.kr    경기도  \n",
       "4         12월                 김영주     http://www.apsystems.co.kr    경기도  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_krx = fdr.StockListing('KRX')\n",
    "df_krx.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7297"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_krx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Symbol</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sector</th>\n",
       "      <th>Industry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MMM</td>\n",
       "      <td>3M Company</td>\n",
       "      <td>Industrials</td>\n",
       "      <td>Industrial Conglomerates</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ABT</td>\n",
       "      <td>Abbott Laboratories</td>\n",
       "      <td>Health Care</td>\n",
       "      <td>Health Care Equipment</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ABBV</td>\n",
       "      <td>AbbVie Inc.</td>\n",
       "      <td>Health Care</td>\n",
       "      <td>Pharmaceuticals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ABMD</td>\n",
       "      <td>Abiomed</td>\n",
       "      <td>Health Care</td>\n",
       "      <td>Health Care Equipment</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ACN</td>\n",
       "      <td>Accenture</td>\n",
       "      <td>Information Technology</td>\n",
       "      <td>IT Consulting &amp; Other Services</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Symbol                 Name                  Sector  \\\n",
       "0    MMM           3M Company             Industrials   \n",
       "1    ABT  Abbott Laboratories             Health Care   \n",
       "2   ABBV          AbbVie Inc.             Health Care   \n",
       "3   ABMD              Abiomed             Health Care   \n",
       "4    ACN            Accenture  Information Technology   \n",
       "\n",
       "                         Industry  \n",
       "0        Industrial Conglomerates  \n",
       "1           Health Care Equipment  \n",
       "2                 Pharmaceuticals  \n",
       "3           Health Care Equipment  \n",
       "4  IT Consulting & Other Services  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_spx= fdr.StockListing('S&P500')\n",
    "df_spx.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "505"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_spx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Change</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-02</th>\n",
       "      <td>95900</td>\n",
       "      <td>104000</td>\n",
       "      <td>93300</td>\n",
       "      <td>102500</td>\n",
       "      <td>6824281</td>\n",
       "      <td>0.096257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-03</th>\n",
       "      <td>102600</td>\n",
       "      <td>104900</td>\n",
       "      <td>99500</td>\n",
       "      <td>103000</td>\n",
       "      <td>4760150</td>\n",
       "      <td>0.004878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-04</th>\n",
       "      <td>102600</td>\n",
       "      <td>104000</td>\n",
       "      <td>92200</td>\n",
       "      <td>92200</td>\n",
       "      <td>6538665</td>\n",
       "      <td>-0.104854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-05</th>\n",
       "      <td>85800</td>\n",
       "      <td>101200</td>\n",
       "      <td>85700</td>\n",
       "      <td>100000</td>\n",
       "      <td>8318372</td>\n",
       "      <td>0.084599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-08</th>\n",
       "      <td>98000</td>\n",
       "      <td>98400</td>\n",
       "      <td>92500</td>\n",
       "      <td>93800</td>\n",
       "      <td>6352776</td>\n",
       "      <td>-0.062000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-09</th>\n",
       "      <td>96500</td>\n",
       "      <td>119200</td>\n",
       "      <td>93800</td>\n",
       "      <td>109000</td>\n",
       "      <td>12734902</td>\n",
       "      <td>0.162047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-10</th>\n",
       "      <td>105000</td>\n",
       "      <td>107300</td>\n",
       "      <td>97800</td>\n",
       "      <td>98000</td>\n",
       "      <td>6588397</td>\n",
       "      <td>-0.100917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-11</th>\n",
       "      <td>97600</td>\n",
       "      <td>100600</td>\n",
       "      <td>95200</td>\n",
       "      <td>96700</td>\n",
       "      <td>4115386</td>\n",
       "      <td>-0.013265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-12</th>\n",
       "      <td>99800</td>\n",
       "      <td>103300</td>\n",
       "      <td>97100</td>\n",
       "      <td>98100</td>\n",
       "      <td>6806596</td>\n",
       "      <td>0.014478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-15</th>\n",
       "      <td>101400</td>\n",
       "      <td>107500</td>\n",
       "      <td>99000</td>\n",
       "      <td>103900</td>\n",
       "      <td>7308122</td>\n",
       "      <td>0.059123</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Open    High    Low   Close    Volume    Change\n",
       "Date                                                         \n",
       "2018-01-02   95900  104000  93300  102500   6824281  0.096257\n",
       "2018-01-03  102600  104900  99500  103000   4760150  0.004878\n",
       "2018-01-04  102600  104000  92200   92200   6538665 -0.104854\n",
       "2018-01-05   85800  101200  85700  100000   8318372  0.084599\n",
       "2018-01-08   98000   98400  92500   93800   6352776 -0.062000\n",
       "2018-01-09   96500  119200  93800  109000  12734902  0.162047\n",
       "2018-01-10  105000  107300  97800   98000   6588397 -0.100917\n",
       "2018-01-11   97600  100600  95200   96700   4115386 -0.013265\n",
       "2018-01-12   99800  103300  97100   98100   6806596  0.014478\n",
       "2018-01-15  101400  107500  99000  103900   7308122  0.059123"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_sinragen= fdr.DataReader('215600','2018')\n",
    "df_sinragen.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_celltrion = fdr.DataReader('068270','2017')\n",
    "df_celltrion['Close'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Code</th>\n",
       "      <th>Name</th>\n",
       "      <th>Market</th>\n",
       "      <th>Dept</th>\n",
       "      <th>Close</th>\n",
       "      <th>ChangeCode</th>\n",
       "      <th>Changes</th>\n",
       "      <th>ChagesRatio</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Marcap</th>\n",
       "      <th>Stocks</th>\n",
       "      <th>MarketId</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>005930</td>\n",
       "      <td>삼성전자</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td></td>\n",
       "      <td>81500</td>\n",
       "      <td>1</td>\n",
       "      <td>300</td>\n",
       "      <td>0.37</td>\n",
       "      <td>81400</td>\n",
       "      <td>81600</td>\n",
       "      <td>81000</td>\n",
       "      <td>12845778</td>\n",
       "      <td>1044261903000</td>\n",
       "      <td>486537277825000</td>\n",
       "      <td>5969782550</td>\n",
       "      <td>STK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>000660</td>\n",
       "      <td>SK하이닉스</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td></td>\n",
       "      <td>135000</td>\n",
       "      <td>1</td>\n",
       "      <td>2000</td>\n",
       "      <td>1.50</td>\n",
       "      <td>134000</td>\n",
       "      <td>135000</td>\n",
       "      <td>132000</td>\n",
       "      <td>3835443</td>\n",
       "      <td>513429099500</td>\n",
       "      <td>98280319275000</td>\n",
       "      <td>728002365</td>\n",
       "      <td>STK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>035420</td>\n",
       "      <td>NAVER</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td></td>\n",
       "      <td>383000</td>\n",
       "      <td>1</td>\n",
       "      <td>3000</td>\n",
       "      <td>0.79</td>\n",
       "      <td>380000</td>\n",
       "      <td>383000</td>\n",
       "      <td>377000</td>\n",
       "      <td>691786</td>\n",
       "      <td>263299158000</td>\n",
       "      <td>62912880285000</td>\n",
       "      <td>164263395</td>\n",
       "      <td>STK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>005935</td>\n",
       "      <td>삼성전자우</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td></td>\n",
       "      <td>73800</td>\n",
       "      <td>1</td>\n",
       "      <td>400</td>\n",
       "      <td>0.54</td>\n",
       "      <td>73800</td>\n",
       "      <td>73800</td>\n",
       "      <td>73400</td>\n",
       "      <td>1254208</td>\n",
       "      <td>92312468000</td>\n",
       "      <td>60729038460000</td>\n",
       "      <td>822886700</td>\n",
       "      <td>STK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>051910</td>\n",
       "      <td>LG화학</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td></td>\n",
       "      <td>802000</td>\n",
       "      <td>1</td>\n",
       "      <td>14000</td>\n",
       "      <td>1.78</td>\n",
       "      <td>795000</td>\n",
       "      <td>806000</td>\n",
       "      <td>781000</td>\n",
       "      <td>624049</td>\n",
       "      <td>497057242240</td>\n",
       "      <td>56615059086000</td>\n",
       "      <td>70592343</td>\n",
       "      <td>STK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>207940</td>\n",
       "      <td>삼성바이오로직스</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td></td>\n",
       "      <td>725000</td>\n",
       "      <td>1</td>\n",
       "      <td>7000</td>\n",
       "      <td>0.97</td>\n",
       "      <td>720000</td>\n",
       "      <td>735000</td>\n",
       "      <td>718000</td>\n",
       "      <td>52111</td>\n",
       "      <td>37828612000</td>\n",
       "      <td>47969625000000</td>\n",
       "      <td>66165000</td>\n",
       "      <td>STK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>005380</td>\n",
       "      <td>현대차</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td></td>\n",
       "      <td>215500</td>\n",
       "      <td>2</td>\n",
       "      <td>-2500</td>\n",
       "      <td>-1.15</td>\n",
       "      <td>219500</td>\n",
       "      <td>219500</td>\n",
       "      <td>212000</td>\n",
       "      <td>1480861</td>\n",
       "      <td>317323290500</td>\n",
       "      <td>46045494298500</td>\n",
       "      <td>213668187</td>\n",
       "      <td>STK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>006400</td>\n",
       "      <td>삼성SDI</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td></td>\n",
       "      <td>647000</td>\n",
       "      <td>1</td>\n",
       "      <td>12000</td>\n",
       "      <td>1.89</td>\n",
       "      <td>640000</td>\n",
       "      <td>649000</td>\n",
       "      <td>628000</td>\n",
       "      <td>316869</td>\n",
       "      <td>202414012000</td>\n",
       "      <td>44490650910000</td>\n",
       "      <td>68764530</td>\n",
       "      <td>STK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>035720</td>\n",
       "      <td>카카오</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td></td>\n",
       "      <td>495000</td>\n",
       "      <td>1</td>\n",
       "      <td>10000</td>\n",
       "      <td>2.06</td>\n",
       "      <td>488000</td>\n",
       "      <td>495000</td>\n",
       "      <td>486000</td>\n",
       "      <td>384547</td>\n",
       "      <td>189218651000</td>\n",
       "      <td>43929622440000</td>\n",
       "      <td>88746712</td>\n",
       "      <td>STK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>068270</td>\n",
       "      <td>셀트리온</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td></td>\n",
       "      <td>314000</td>\n",
       "      <td>1</td>\n",
       "      <td>6500</td>\n",
       "      <td>2.11</td>\n",
       "      <td>311500</td>\n",
       "      <td>316500</td>\n",
       "      <td>304000</td>\n",
       "      <td>815381</td>\n",
       "      <td>253723646000</td>\n",
       "      <td>42398707534000</td>\n",
       "      <td>135027731</td>\n",
       "      <td>STK</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Code      Name Market Dept   Close ChangeCode  Changes  ChagesRatio  \\\n",
       "1   005930      삼성전자  KOSPI        81500          1      300         0.37   \n",
       "2   000660    SK하이닉스  KOSPI       135000          1     2000         1.50   \n",
       "3   035420     NAVER  KOSPI       383000          1     3000         0.79   \n",
       "4   005935     삼성전자우  KOSPI        73800          1      400         0.54   \n",
       "5   051910      LG화학  KOSPI       802000          1    14000         1.78   \n",
       "6   207940  삼성바이오로직스  KOSPI       725000          1     7000         0.97   \n",
       "7   005380       현대차  KOSPI       215500          2    -2500        -1.15   \n",
       "8   006400     삼성SDI  KOSPI       647000          1    12000         1.89   \n",
       "9   035720       카카오  KOSPI       495000          1    10000         2.06   \n",
       "10  068270      셀트리온  KOSPI       314000          1     6500         2.11   \n",
       "\n",
       "      Open    High     Low    Volume         Amount           Marcap  \\\n",
       "1    81400   81600   81000  12845778  1044261903000  486537277825000   \n",
       "2   134000  135000  132000   3835443   513429099500   98280319275000   \n",
       "3   380000  383000  377000    691786   263299158000   62912880285000   \n",
       "4    73800   73800   73400   1254208    92312468000   60729038460000   \n",
       "5   795000  806000  781000    624049   497057242240   56615059086000   \n",
       "6   720000  735000  718000     52111    37828612000   47969625000000   \n",
       "7   219500  219500  212000   1480861   317323290500   46045494298500   \n",
       "8   640000  649000  628000    316869   202414012000   44490650910000   \n",
       "9   488000  495000  486000    384547   189218651000   43929622440000   \n",
       "10  311500  316500  304000    815381   253723646000   42398707534000   \n",
       "\n",
       "        Stocks MarketId  \n",
       "1   5969782550      STK  \n",
       "2    728002365      STK  \n",
       "3    164263395      STK  \n",
       "4    822886700      STK  \n",
       "5     70592343      STK  \n",
       "6     66165000      STK  \n",
       "7    213668187      STK  \n",
       "8     68764530      STK  \n",
       "9     88746712      STK  \n",
       "10   135027731      STK  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "krx= fdr.StockListing(\"krx-marcap\")\n",
    "krx.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Cloning into 'marcap'...\n",
      "Updating files:  54% (20/37)\n",
      "Updating files:  56% (21/37)\n",
      "Updating files:  59% (22/37)\n",
      "Updating files:  62% (23/37)\n",
      "Updating files:  64% (24/37)\n",
      "Updating files:  67% (25/37)\n",
      "Updating files:  70% (26/37)\n",
      "Updating files:  72% (27/37)\n",
      "Updating files:  75% (28/37)\n",
      "Updating files:  78% (29/37)\n",
      "Updating files:  81% (30/37)\n",
      "Updating files:  83% (31/37)\n",
      "Updating files:  86% (32/37)\n",
      "Updating files:  89% (33/37)\n",
      "Updating files:  91% (34/37)\n",
      "Updating files:  94% (35/37)\n",
      "Updating files:  97% (36/37)\n",
      "Updating files: 100% (37/37)\n",
      "Updating files: 100% (37/37), done.\n"
     ]
    }
   ],
   "source": [
    "!git clone \"https://github.com/FinanceData/marcap.git\" marcap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['.ipynb_checkpoints',\n",
       " 'marcap-1995.csv.gz',\n",
       " 'marcap-1996.csv.gz',\n",
       " 'marcap-1997.csv.gz',\n",
       " 'marcap-1998.csv.gz',\n",
       " 'marcap-1999.csv.gz',\n",
       " 'marcap-2000.csv.gz',\n",
       " 'marcap-2001.csv.gz',\n",
       " 'marcap-2002.csv.gz',\n",
       " 'marcap-2003.csv.gz',\n",
       " 'marcap-2004.csv.gz',\n",
       " 'marcap-2005.csv.gz',\n",
       " 'marcap-2006.csv.gz',\n",
       " 'marcap-2007.csv.gz',\n",
       " 'marcap-2008.csv.gz',\n",
       " 'marcap-2009.csv.gz',\n",
       " 'marcap-2010.csv.gz',\n",
       " 'marcap-2011.csv.gz',\n",
       " 'marcap-2012.csv.gz',\n",
       " 'marcap-2013.csv.gz',\n",
       " 'marcap-2014.csv.gz',\n",
       " 'marcap-2015.csv.gz',\n",
       " 'marcap-2016.csv.gz',\n",
       " 'marcap-2017.csv.gz',\n",
       " 'marcap-2018.csv.gz',\n",
       " 'marcap-2019.csv.gz',\n",
       " 'marcap-2020.csv.gz',\n",
       " 'marcap-2021.csv.gz']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "os.listdir('marcap/data')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "forders= os.listdir('marcap/data')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C:\\Users\\tlagu\\DATA\\marcap\\data\n"
     ]
    }
   ],
   "source": [
    "cd marcap/data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_all_year= pd.DataFrame()\n",
    "df_all_year=  pd.read_csv('marcap-2021.csv.gz', dtype={'Code':str}, parse_dates=['Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\tlagu\\anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3146: DtypeWarning: Columns (3) have mixed types.Specify dtype option on import or set low_memory=False.\n",
      "  has_raised = await self.run_ast_nodes(code_ast.body, cell_name,\n"
     ]
    }
   ],
   "source": [
    "for files in forders:\n",
    "    df= pd.read_csv(files, dtype={'Code':str}, parse_dates=['Date'])\n",
    "    if df['Code'].isin(df_all_year['Code']):\n",
    "    df_all_years = pd.concat([df_all_years, df])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Code</th>\n",
       "      <th>Name</th>\n",
       "      <th>Market</th>\n",
       "      <th>Dept</th>\n",
       "      <th>Close</th>\n",
       "      <th>ChangeCode</th>\n",
       "      <th>Changes</th>\n",
       "      <th>ChagesRatio</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Marcap</th>\n",
       "      <th>Stocks</th>\n",
       "      <th>MarketId</th>\n",
       "      <th>Rank</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>000010</td>\n",
       "      <td>조흥은행</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9600.0</td>\n",
       "      <td>1</td>\n",
       "      <td>400.0</td>\n",
       "      <td>4.35</td>\n",
       "      <td>9300.0</td>\n",
       "      <td>9700.0</td>\n",
       "      <td>9300.0</td>\n",
       "      <td>849780.0</td>\n",
       "      <td>8.113110e+09</td>\n",
       "      <td>1.574400e+12</td>\n",
       "      <td>164000000</td>\n",
       "      <td>STK</td>\n",
       "      <td>11</td>\n",
       "      <td>1995-05-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>865</th>\n",
       "      <td>000010</td>\n",
       "      <td>조흥은행</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9600.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9570.0</td>\n",
       "      <td>9700.0</td>\n",
       "      <td>9350.0</td>\n",
       "      <td>786120.0</td>\n",
       "      <td>7.534389e+09</td>\n",
       "      <td>1.574400e+12</td>\n",
       "      <td>164000000</td>\n",
       "      <td>STK</td>\n",
       "      <td>11</td>\n",
       "      <td>1995-05-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1722</th>\n",
       "      <td>000010</td>\n",
       "      <td>조흥은행</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9550.0</td>\n",
       "      <td>2</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-0.52</td>\n",
       "      <td>9600.0</td>\n",
       "      <td>9800.0</td>\n",
       "      <td>9500.0</td>\n",
       "      <td>430270.0</td>\n",
       "      <td>4.143151e+09</td>\n",
       "      <td>1.566200e+12</td>\n",
       "      <td>164000000</td>\n",
       "      <td>STK</td>\n",
       "      <td>11</td>\n",
       "      <td>1995-05-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2583</th>\n",
       "      <td>000010</td>\n",
       "      <td>조흥은행</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9290.0</td>\n",
       "      <td>2</td>\n",
       "      <td>-260.0</td>\n",
       "      <td>-2.72</td>\n",
       "      <td>9550.0</td>\n",
       "      <td>9600.0</td>\n",
       "      <td>9250.0</td>\n",
       "      <td>233520.0</td>\n",
       "      <td>2.201572e+09</td>\n",
       "      <td>1.523560e+12</td>\n",
       "      <td>164000000</td>\n",
       "      <td>STK</td>\n",
       "      <td>12</td>\n",
       "      <td>1995-05-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3425</th>\n",
       "      <td>000010</td>\n",
       "      <td>조흥은행</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9130.0</td>\n",
       "      <td>2</td>\n",
       "      <td>-160.0</td>\n",
       "      <td>-1.72</td>\n",
       "      <td>9290.0</td>\n",
       "      <td>9490.0</td>\n",
       "      <td>9100.0</td>\n",
       "      <td>317770.0</td>\n",
       "      <td>2.936619e+09</td>\n",
       "      <td>1.497320e+12</td>\n",
       "      <td>164000000</td>\n",
       "      <td>STK</td>\n",
       "      <td>12</td>\n",
       "      <td>1995-05-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123951</th>\n",
       "      <td>950220</td>\n",
       "      <td>네오이뮨텍(Reg.S)</td>\n",
       "      <td>KOSDAQ</td>\n",
       "      <td>외국기업(소속부없음)</td>\n",
       "      <td>14350.0</td>\n",
       "      <td>2</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-1.37</td>\n",
       "      <td>14700.0</td>\n",
       "      <td>15100.0</td>\n",
       "      <td>14000.0</td>\n",
       "      <td>4280496.0</td>\n",
       "      <td>6.263418e+10</td>\n",
       "      <td>1.411925e+12</td>\n",
       "      <td>98392010</td>\n",
       "      <td>KSQ</td>\n",
       "      <td>195</td>\n",
       "      <td>2021-03-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126391</th>\n",
       "      <td>950220</td>\n",
       "      <td>네오이뮨텍(Reg.S)</td>\n",
       "      <td>KOSDAQ</td>\n",
       "      <td>외국기업(소속부없음)</td>\n",
       "      <td>14650.0</td>\n",
       "      <td>1</td>\n",
       "      <td>300.0</td>\n",
       "      <td>2.09</td>\n",
       "      <td>15350.0</td>\n",
       "      <td>16100.0</td>\n",
       "      <td>14350.0</td>\n",
       "      <td>12288796.0</td>\n",
       "      <td>1.876265e+11</td>\n",
       "      <td>1.441443e+12</td>\n",
       "      <td>98392010</td>\n",
       "      <td>KSQ</td>\n",
       "      <td>192</td>\n",
       "      <td>2021-03-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128835</th>\n",
       "      <td>950220</td>\n",
       "      <td>네오이뮨텍(Reg.S)</td>\n",
       "      <td>KOSDAQ</td>\n",
       "      <td>외국기업(소속부없음)</td>\n",
       "      <td>13950.0</td>\n",
       "      <td>2</td>\n",
       "      <td>-700.0</td>\n",
       "      <td>-4.78</td>\n",
       "      <td>14350.0</td>\n",
       "      <td>14450.0</td>\n",
       "      <td>13850.0</td>\n",
       "      <td>2598250.0</td>\n",
       "      <td>3.661130e+10</td>\n",
       "      <td>1.372569e+12</td>\n",
       "      <td>98392010</td>\n",
       "      <td>KSQ</td>\n",
       "      <td>199</td>\n",
       "      <td>2021-03-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131266</th>\n",
       "      <td>950220</td>\n",
       "      <td>네오이뮨텍(Reg.S)</td>\n",
       "      <td>KOSDAQ</td>\n",
       "      <td>외국기업(소속부없음)</td>\n",
       "      <td>13800.0</td>\n",
       "      <td>2</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-1.08</td>\n",
       "      <td>13950.0</td>\n",
       "      <td>14200.0</td>\n",
       "      <td>13550.0</td>\n",
       "      <td>2137064.0</td>\n",
       "      <td>2.962674e+10</td>\n",
       "      <td>1.357810e+12</td>\n",
       "      <td>98392010</td>\n",
       "      <td>KSQ</td>\n",
       "      <td>202</td>\n",
       "      <td>2021-03-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133700</th>\n",
       "      <td>950220</td>\n",
       "      <td>네오이뮨텍(Reg.S)</td>\n",
       "      <td>KOSDAQ</td>\n",
       "      <td>외국기업(소속부없음)</td>\n",
       "      <td>13000.0</td>\n",
       "      <td>2</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>-5.80</td>\n",
       "      <td>13750.0</td>\n",
       "      <td>13900.0</td>\n",
       "      <td>12900.0</td>\n",
       "      <td>2675349.0</td>\n",
       "      <td>3.544125e+10</td>\n",
       "      <td>1.279096e+12</td>\n",
       "      <td>98392010</td>\n",
       "      <td>KSQ</td>\n",
       "      <td>207</td>\n",
       "      <td>2021-03-26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11211590 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Code          Name  Market         Dept    Close  ChangeCode  \\\n",
       "10      000010          조흥은행   KOSPI          NaN   9600.0           1   \n",
       "865     000010          조흥은행   KOSPI          NaN   9600.0           3   \n",
       "1722    000010          조흥은행   KOSPI          NaN   9550.0           2   \n",
       "2583    000010          조흥은행   KOSPI          NaN   9290.0           2   \n",
       "3425    000010          조흥은행   KOSPI          NaN   9130.0           2   \n",
       "...        ...           ...     ...          ...      ...         ...   \n",
       "123951  950220  네오이뮨텍(Reg.S)  KOSDAQ  외국기업(소속부없음)  14350.0           2   \n",
       "126391  950220  네오이뮨텍(Reg.S)  KOSDAQ  외국기업(소속부없음)  14650.0           1   \n",
       "128835  950220  네오이뮨텍(Reg.S)  KOSDAQ  외국기업(소속부없음)  13950.0           2   \n",
       "131266  950220  네오이뮨텍(Reg.S)  KOSDAQ  외국기업(소속부없음)  13800.0           2   \n",
       "133700  950220  네오이뮨텍(Reg.S)  KOSDAQ  외국기업(소속부없음)  13000.0           2   \n",
       "\n",
       "        Changes  ChagesRatio     Open     High      Low      Volume  \\\n",
       "10        400.0         4.35   9300.0   9700.0   9300.0    849780.0   \n",
       "865         0.0         0.00   9570.0   9700.0   9350.0    786120.0   \n",
       "1722      -50.0        -0.52   9600.0   9800.0   9500.0    430270.0   \n",
       "2583     -260.0        -2.72   9550.0   9600.0   9250.0    233520.0   \n",
       "3425     -160.0        -1.72   9290.0   9490.0   9100.0    317770.0   \n",
       "...         ...          ...      ...      ...      ...         ...   \n",
       "123951   -200.0        -1.37  14700.0  15100.0  14000.0   4280496.0   \n",
       "126391    300.0         2.09  15350.0  16100.0  14350.0  12288796.0   \n",
       "128835   -700.0        -4.78  14350.0  14450.0  13850.0   2598250.0   \n",
       "131266   -150.0        -1.08  13950.0  14200.0  13550.0   2137064.0   \n",
       "133700   -800.0        -5.80  13750.0  13900.0  12900.0   2675349.0   \n",
       "\n",
       "              Amount        Marcap     Stocks MarketId  Rank       Date  \n",
       "10      8.113110e+09  1.574400e+12  164000000      STK    11 1995-05-02  \n",
       "865     7.534389e+09  1.574400e+12  164000000      STK    11 1995-05-03  \n",
       "1722    4.143151e+09  1.566200e+12  164000000      STK    11 1995-05-04  \n",
       "2583    2.201572e+09  1.523560e+12  164000000      STK    12 1995-05-06  \n",
       "3425    2.936619e+09  1.497320e+12  164000000      STK    12 1995-05-08  \n",
       "...              ...           ...        ...      ...   ...        ...  \n",
       "123951  6.263418e+10  1.411925e+12   98392010      KSQ   195 2021-03-22  \n",
       "126391  1.876265e+11  1.441443e+12   98392010      KSQ   192 2021-03-23  \n",
       "128835  3.661130e+10  1.372569e+12   98392010      KSQ   199 2021-03-24  \n",
       "131266  2.962674e+10  1.357810e+12   98392010      KSQ   202 2021-03-25  \n",
       "133700  3.544125e+10  1.279096e+12   98392010      KSQ   207 2021-03-26  \n",
       "\n",
       "[11211590 rows x 18 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all_years= df_all_years.sort_values(by=['Code','Date'])\n",
    "df_all_years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Code</th>\n",
       "      <th>Name</th>\n",
       "      <th>Market</th>\n",
       "      <th>Dept</th>\n",
       "      <th>Close</th>\n",
       "      <th>ChangeCode</th>\n",
       "      <th>Changes</th>\n",
       "      <th>ChagesRatio</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Marcap</th>\n",
       "      <th>Stocks</th>\n",
       "      <th>MarketId</th>\n",
       "      <th>Rank</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000010</td>\n",
       "      <td>조흥은행</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9600.0</td>\n",
       "      <td>1</td>\n",
       "      <td>400.0</td>\n",
       "      <td>4.35</td>\n",
       "      <td>9300.0</td>\n",
       "      <td>9700.0</td>\n",
       "      <td>9300.0</td>\n",
       "      <td>849780.0</td>\n",
       "      <td>8.113110e+09</td>\n",
       "      <td>1.574400e+12</td>\n",
       "      <td>164000000</td>\n",
       "      <td>STK</td>\n",
       "      <td>11</td>\n",
       "      <td>1995-05-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>000010</td>\n",
       "      <td>조흥은행</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9600.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9570.0</td>\n",
       "      <td>9700.0</td>\n",
       "      <td>9350.0</td>\n",
       "      <td>786120.0</td>\n",
       "      <td>7.534389e+09</td>\n",
       "      <td>1.574400e+12</td>\n",
       "      <td>164000000</td>\n",
       "      <td>STK</td>\n",
       "      <td>11</td>\n",
       "      <td>1995-05-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>000010</td>\n",
       "      <td>조흥은행</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9550.0</td>\n",
       "      <td>2</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-0.52</td>\n",
       "      <td>9600.0</td>\n",
       "      <td>9800.0</td>\n",
       "      <td>9500.0</td>\n",
       "      <td>430270.0</td>\n",
       "      <td>4.143151e+09</td>\n",
       "      <td>1.566200e+12</td>\n",
       "      <td>164000000</td>\n",
       "      <td>STK</td>\n",
       "      <td>11</td>\n",
       "      <td>1995-05-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>000010</td>\n",
       "      <td>조흥은행</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9290.0</td>\n",
       "      <td>2</td>\n",
       "      <td>-260.0</td>\n",
       "      <td>-2.72</td>\n",
       "      <td>9550.0</td>\n",
       "      <td>9600.0</td>\n",
       "      <td>9250.0</td>\n",
       "      <td>233520.0</td>\n",
       "      <td>2.201572e+09</td>\n",
       "      <td>1.523560e+12</td>\n",
       "      <td>164000000</td>\n",
       "      <td>STK</td>\n",
       "      <td>12</td>\n",
       "      <td>1995-05-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>000010</td>\n",
       "      <td>조흥은행</td>\n",
       "      <td>KOSPI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9130.0</td>\n",
       "      <td>2</td>\n",
       "      <td>-160.0</td>\n",
       "      <td>-1.72</td>\n",
       "      <td>9290.0</td>\n",
       "      <td>9490.0</td>\n",
       "      <td>9100.0</td>\n",
       "      <td>317770.0</td>\n",
       "      <td>2.936619e+09</td>\n",
       "      <td>1.497320e+12</td>\n",
       "      <td>164000000</td>\n",
       "      <td>STK</td>\n",
       "      <td>12</td>\n",
       "      <td>1995-05-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11211585</th>\n",
       "      <td>950220</td>\n",
       "      <td>네오이뮨텍(Reg.S)</td>\n",
       "      <td>KOSDAQ</td>\n",
       "      <td>외국기업(소속부없음)</td>\n",
       "      <td>14350.0</td>\n",
       "      <td>2</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-1.37</td>\n",
       "      <td>14700.0</td>\n",
       "      <td>15100.0</td>\n",
       "      <td>14000.0</td>\n",
       "      <td>4280496.0</td>\n",
       "      <td>6.263418e+10</td>\n",
       "      <td>1.411925e+12</td>\n",
       "      <td>98392010</td>\n",
       "      <td>KSQ</td>\n",
       "      <td>195</td>\n",
       "      <td>2021-03-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11211586</th>\n",
       "      <td>950220</td>\n",
       "      <td>네오이뮨텍(Reg.S)</td>\n",
       "      <td>KOSDAQ</td>\n",
       "      <td>외국기업(소속부없음)</td>\n",
       "      <td>14650.0</td>\n",
       "      <td>1</td>\n",
       "      <td>300.0</td>\n",
       "      <td>2.09</td>\n",
       "      <td>15350.0</td>\n",
       "      <td>16100.0</td>\n",
       "      <td>14350.0</td>\n",
       "      <td>12288796.0</td>\n",
       "      <td>1.876265e+11</td>\n",
       "      <td>1.441443e+12</td>\n",
       "      <td>98392010</td>\n",
       "      <td>KSQ</td>\n",
       "      <td>192</td>\n",
       "      <td>2021-03-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11211587</th>\n",
       "      <td>950220</td>\n",
       "      <td>네오이뮨텍(Reg.S)</td>\n",
       "      <td>KOSDAQ</td>\n",
       "      <td>외국기업(소속부없음)</td>\n",
       "      <td>13950.0</td>\n",
       "      <td>2</td>\n",
       "      <td>-700.0</td>\n",
       "      <td>-4.78</td>\n",
       "      <td>14350.0</td>\n",
       "      <td>14450.0</td>\n",
       "      <td>13850.0</td>\n",
       "      <td>2598250.0</td>\n",
       "      <td>3.661130e+10</td>\n",
       "      <td>1.372569e+12</td>\n",
       "      <td>98392010</td>\n",
       "      <td>KSQ</td>\n",
       "      <td>199</td>\n",
       "      <td>2021-03-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11211588</th>\n",
       "      <td>950220</td>\n",
       "      <td>네오이뮨텍(Reg.S)</td>\n",
       "      <td>KOSDAQ</td>\n",
       "      <td>외국기업(소속부없음)</td>\n",
       "      <td>13800.0</td>\n",
       "      <td>2</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-1.08</td>\n",
       "      <td>13950.0</td>\n",
       "      <td>14200.0</td>\n",
       "      <td>13550.0</td>\n",
       "      <td>2137064.0</td>\n",
       "      <td>2.962674e+10</td>\n",
       "      <td>1.357810e+12</td>\n",
       "      <td>98392010</td>\n",
       "      <td>KSQ</td>\n",
       "      <td>202</td>\n",
       "      <td>2021-03-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11211589</th>\n",
       "      <td>950220</td>\n",
       "      <td>네오이뮨텍(Reg.S)</td>\n",
       "      <td>KOSDAQ</td>\n",
       "      <td>외국기업(소속부없음)</td>\n",
       "      <td>13000.0</td>\n",
       "      <td>2</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>-5.80</td>\n",
       "      <td>13750.0</td>\n",
       "      <td>13900.0</td>\n",
       "      <td>12900.0</td>\n",
       "      <td>2675349.0</td>\n",
       "      <td>3.544125e+10</td>\n",
       "      <td>1.279096e+12</td>\n",
       "      <td>98392010</td>\n",
       "      <td>KSQ</td>\n",
       "      <td>207</td>\n",
       "      <td>2021-03-26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11211590 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Code          Name  Market         Dept    Close  ChangeCode  \\\n",
       "0         000010          조흥은행   KOSPI          NaN   9600.0           1   \n",
       "1         000010          조흥은행   KOSPI          NaN   9600.0           3   \n",
       "2         000010          조흥은행   KOSPI          NaN   9550.0           2   \n",
       "3         000010          조흥은행   KOSPI          NaN   9290.0           2   \n",
       "4         000010          조흥은행   KOSPI          NaN   9130.0           2   \n",
       "...          ...           ...     ...          ...      ...         ...   \n",
       "11211585  950220  네오이뮨텍(Reg.S)  KOSDAQ  외국기업(소속부없음)  14350.0           2   \n",
       "11211586  950220  네오이뮨텍(Reg.S)  KOSDAQ  외국기업(소속부없음)  14650.0           1   \n",
       "11211587  950220  네오이뮨텍(Reg.S)  KOSDAQ  외국기업(소속부없음)  13950.0           2   \n",
       "11211588  950220  네오이뮨텍(Reg.S)  KOSDAQ  외국기업(소속부없음)  13800.0           2   \n",
       "11211589  950220  네오이뮨텍(Reg.S)  KOSDAQ  외국기업(소속부없음)  13000.0           2   \n",
       "\n",
       "          Changes  ChagesRatio     Open     High      Low      Volume  \\\n",
       "0           400.0         4.35   9300.0   9700.0   9300.0    849780.0   \n",
       "1             0.0         0.00   9570.0   9700.0   9350.0    786120.0   \n",
       "2           -50.0        -0.52   9600.0   9800.0   9500.0    430270.0   \n",
       "3          -260.0        -2.72   9550.0   9600.0   9250.0    233520.0   \n",
       "4          -160.0        -1.72   9290.0   9490.0   9100.0    317770.0   \n",
       "...           ...          ...      ...      ...      ...         ...   \n",
       "11211585   -200.0        -1.37  14700.0  15100.0  14000.0   4280496.0   \n",
       "11211586    300.0         2.09  15350.0  16100.0  14350.0  12288796.0   \n",
       "11211587   -700.0        -4.78  14350.0  14450.0  13850.0   2598250.0   \n",
       "11211588   -150.0        -1.08  13950.0  14200.0  13550.0   2137064.0   \n",
       "11211589   -800.0        -5.80  13750.0  13900.0  12900.0   2675349.0   \n",
       "\n",
       "                Amount        Marcap     Stocks MarketId  Rank       Date  \n",
       "0         8.113110e+09  1.574400e+12  164000000      STK    11 1995-05-02  \n",
       "1         7.534389e+09  1.574400e+12  164000000      STK    11 1995-05-03  \n",
       "2         4.143151e+09  1.566200e+12  164000000      STK    11 1995-05-04  \n",
       "3         2.201572e+09  1.523560e+12  164000000      STK    12 1995-05-06  \n",
       "4         2.936619e+09  1.497320e+12  164000000      STK    12 1995-05-08  \n",
       "...                ...           ...        ...      ...   ...        ...  \n",
       "11211585  6.263418e+10  1.411925e+12   98392010      KSQ   195 2021-03-22  \n",
       "11211586  1.876265e+11  1.441443e+12   98392010      KSQ   192 2021-03-23  \n",
       "11211587  3.661130e+10  1.372569e+12   98392010      KSQ   199 2021-03-24  \n",
       "11211588  2.962674e+10  1.357810e+12   98392010      KSQ   202 2021-03-25  \n",
       "11211589  3.544125e+10  1.279096e+12   98392010      KSQ   207 2021-03-26  \n",
       "\n",
       "[11211590 rows x 18 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all_years= df_all_years.reset_index()\n",
    "df_all_years= df_all_years.drop(['index'], axis=1)\n",
    "df_all_years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C:\\Users\\tlagu\\DATA\\new_data\n"
     ]
    }
   ],
   "source": [
    "cd new_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_all_years.to_csv(\"./df_all_years\", index=False)"
   ]
  }
 ],
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