NaverFinance.ipynb

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      "name": "NaverFinance.ipynb",
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      "name": "python3",
      "display_name": "Python 3"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/tylee33/DLforFinance/blob/master/NaverFinance.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "metadata": {
        "id": "o2KyQrRAOqZR",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "이번 예제에서는 KISLINE(http://media.kisline.com/highlight/mainHighlight.nice?nav=1&paper_stock=005930) 사이트에서 삼성전자(005930)의 재무정보를 가져와 보겠습니다. url 마지막 부분에 \"paper_stock=005930\"에서 숫자 6자리가 주식종목코드입니다. 이 부분을 바꿔주면 원하는 상장회사의 재무정보가 있는 KISLINE 웹페이지를 호출할 수 있습니다."
      ]
    },
    {
      "metadata": {
        "id": "DfHi5mbKOr0T",
        "colab_type": "code",
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      },
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        " \n",
        "#html 객체의 표(table)를 pandas dataframe으로 가져온다 \n",
        "url = 'http://media.kisline.com/highlight/mainHighlight.nice?nav=1&paper_stock=005930'\n",
        "tables = pd.read_html(url)\n",
        " \n",
        "#엑셀로 저장하기\n",
        "df = tables[4]    #개별IFRS 연간 재무제표\n",
        "df.to_excel('output.xlsx')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "KBBN-dV_TaNj",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "네이버 등 포털 사이트에서 제공하는 주식시세(주가정보) 데이터를 가져와서, 그래프로 간략하게 그려보는 예제를 만들어 봅니다. 처음에는 코드 한줄 한줄 전부 이해하는 것보다는 예제 코드를 최대한 타이핑해보면서 실행 결과를 확인해 보면서 흥미를 갖는 것이 중요합니다.\n",
        " \n",
        "지난 포스팅에서 설명드린 pandas.read_html 함수를 사용해서 네이버 주식 시세 테이블을 dataframe으로 가져옵니다. 아래 그림처럼 주식시세가 웹페이지 여러 페이지에 걸쳐 있기 때문에, 페이지를 한장씩 넘어가면서 pandas.read_html 함수를 사용하여 표를 여러 번 나누어서 읽어야 합니다."
      ]
    },
    {
      "metadata": {
        "id": "Nay8UZcjTZjy",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        " import pandas as pd  # 데이터프레임을 다루는 패키지\n",
        " import datetime as dt  # 시간을 다루는 패키지\n",
        " import matplotlib.pyplot as plt  # 그래프 시각화 패키지\n",
        " from matplotlib import style "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "TAArcixVTh7g",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "def read_stock_price_page(stock_code, page_num):\n",
        "    '''\n",
        "    네이버 주식시세 페이지에 접속하여 table을 dataframe으로 가져와서 정리\n",
        "    '''\n",
        "    target_url = ('http://finance.naver.com/item/sise_day.nhn?code='+ stock_code + '&page=' + str(page_num))\n",
        "    data = pd.read_html(target_url)\n",
        "    data = data[0]\n",
        "    data.columns = ['날짜', '당일종가', '전일종가', '시가', '고가', '저가', '거래량']\n",
        "    price_data = data.dropna(axis=0, how='any')\n",
        "    price_data = price_data.drop(price_data.index[0])\n",
        "    price_data = price_data.reset_index(drop=True)\n",
        "    price_data['날짜'] = pd.to_datetime(price_data['날짜'], format='%Y/%m/%d')\n",
        "    return price_data"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "vnlTOSJeTl5w",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "def stock_price_pages_to_df(code, days_limit=30):\n",
        "    '''\n",
        "    오늘부터 days_limit 일수 만큼 이전 날짜 주가를 가져온다. \n",
        "    '''\n",
        "    \n",
        "    df_list_price = []\n",
        "    page = 1\n",
        "    while True:\n",
        "        try:    \n",
        "            data = read_stock_price_page(code, page)\n",
        "            time_limit = dt.datetime.now() - data['날짜'][0]  \n",
        "            if time_limit.days > days_limit: break   \n",
        "            df_list_price.append(data)                     \n",
        "            page = page + 1\n",
        "    \n",
        "        except: break\n",
        "    df_price = pd.concat(df_list_price)\n",
        "    df_price = df_price.reset_index(drop=True)\n",
        "    return df_price"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "488nddmLTpEo",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "# 함수를 실행하여 KH바텍(060720)의 과거 30일 주가정보를 가져온다.    \n",
        " stock_code = '060720'\n",
        " days_limit = 30\n",
        " df = stock_price_pages_to_df(stock_code, days_limit)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "gWlE3Wc5TuZv",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 669
        },
        "outputId": "6d522d27-eaee-4820-f4ae-a0917c9e9eac"
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      "cell_type": "code",
      "source": [
        "df"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>날짜</th>\n",
              "      <th>당일종가</th>\n",
              "      <th>전일종가</th>\n",
              "      <th>시가</th>\n",
              "      <th>고가</th>\n",
              "      <th>저가</th>\n",
              "      <th>거래량</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2019-03-07</td>\n",
              "      <td>9430</td>\n",
              "      <td>30</td>\n",
              "      <td>9330</td>\n",
              "      <td>9600</td>\n",
              "      <td>9320</td>\n",
              "      <td>122448</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2019-03-06</td>\n",
              "      <td>9400</td>\n",
              "      <td>180</td>\n",
              "      <td>9600</td>\n",
              "      <td>9740</td>\n",
              "      <td>9400</td>\n",
              "      <td>142568</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2019-03-05</td>\n",
              "      <td>9580</td>\n",
              "      <td>170</td>\n",
              "      <td>9280</td>\n",
              "      <td>9610</td>\n",
              "      <td>9270</td>\n",
              "      <td>232251</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2019-03-04</td>\n",
              "      <td>9410</td>\n",
              "      <td>290</td>\n",
              "      <td>9070</td>\n",
              "      <td>9520</td>\n",
              "      <td>9070</td>\n",
              "      <td>278830</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2019-02-28</td>\n",
              "      <td>9120</td>\n",
              "      <td>390</td>\n",
              "      <td>9480</td>\n",
              "      <td>9490</td>\n",
              "      <td>9100</td>\n",
              "      <td>341641</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>2019-02-27</td>\n",
              "      <td>9510</td>\n",
              "      <td>310</td>\n",
              "      <td>9780</td>\n",
              "      <td>9790</td>\n",
              "      <td>9460</td>\n",
              "      <td>414758</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>2019-02-26</td>\n",
              "      <td>9820</td>\n",
              "      <td>380</td>\n",
              "      <td>10350</td>\n",
              "      <td>10400</td>\n",
              "      <td>9800</td>\n",
              "      <td>559241</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>2019-02-25</td>\n",
              "      <td>10200</td>\n",
              "      <td>620</td>\n",
              "      <td>9650</td>\n",
              "      <td>10250</td>\n",
              "      <td>9630</td>\n",
              "      <td>762481</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>2019-02-22</td>\n",
              "      <td>9580</td>\n",
              "      <td>120</td>\n",
              "      <td>9620</td>\n",
              "      <td>9760</td>\n",
              "      <td>9420</td>\n",
              "      <td>385082</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>2019-02-21</td>\n",
              "      <td>9460</td>\n",
              "      <td>520</td>\n",
              "      <td>10300</td>\n",
              "      <td>10600</td>\n",
              "      <td>9450</td>\n",
              "      <td>1270555</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>2019-02-20</td>\n",
              "      <td>9980</td>\n",
              "      <td>570</td>\n",
              "      <td>9510</td>\n",
              "      <td>10100</td>\n",
              "      <td>9510</td>\n",
              "      <td>901561</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>2019-02-19</td>\n",
              "      <td>9410</td>\n",
              "      <td>0</td>\n",
              "      <td>9420</td>\n",
              "      <td>9610</td>\n",
              "      <td>9080</td>\n",
              "      <td>381961</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>2019-02-18</td>\n",
              "      <td>9410</td>\n",
              "      <td>320</td>\n",
              "      <td>9840</td>\n",
              "      <td>9950</td>\n",
              "      <td>9350</td>\n",
              "      <td>438546</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>2019-02-15</td>\n",
              "      <td>9730</td>\n",
              "      <td>270</td>\n",
              "      <td>10000</td>\n",
              "      <td>10300</td>\n",
              "      <td>9580</td>\n",
              "      <td>320076</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>2019-02-14</td>\n",
              "      <td>10000</td>\n",
              "      <td>70</td>\n",
              "      <td>9940</td>\n",
              "      <td>10200</td>\n",
              "      <td>9750</td>\n",
              "      <td>268810</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>2019-02-13</td>\n",
              "      <td>9930</td>\n",
              "      <td>220</td>\n",
              "      <td>9890</td>\n",
              "      <td>9940</td>\n",
              "      <td>9660</td>\n",
              "      <td>279142</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>2019-02-12</td>\n",
              "      <td>9710</td>\n",
              "      <td>10</td>\n",
              "      <td>9570</td>\n",
              "      <td>10100</td>\n",
              "      <td>9530</td>\n",
              "      <td>384989</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>2019-02-11</td>\n",
              "      <td>9700</td>\n",
              "      <td>130</td>\n",
              "      <td>9870</td>\n",
              "      <td>9870</td>\n",
              "      <td>9520</td>\n",
              "      <td>166051</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>2019-02-08</td>\n",
              "      <td>9830</td>\n",
              "      <td>370</td>\n",
              "      <td>10100</td>\n",
              "      <td>10150</td>\n",
              "      <td>9750</td>\n",
              "      <td>292372</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>2019-02-07</td>\n",
              "      <td>10200</td>\n",
              "      <td>910</td>\n",
              "      <td>9450</td>\n",
              "      <td>10300</td>\n",
              "      <td>9350</td>\n",
              "      <td>729666</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           날짜   당일종가 전일종가     시가     고가    저가      거래량\n",
              "0  2019-03-07   9430   30   9330   9600  9320   122448\n",
              "1  2019-03-06   9400  180   9600   9740  9400   142568\n",
              "2  2019-03-05   9580  170   9280   9610  9270   232251\n",
              "3  2019-03-04   9410  290   9070   9520  9070   278830\n",
              "4  2019-02-28   9120  390   9480   9490  9100   341641\n",
              "5  2019-02-27   9510  310   9780   9790  9460   414758\n",
              "6  2019-02-26   9820  380  10350  10400  9800   559241\n",
              "7  2019-02-25  10200  620   9650  10250  9630   762481\n",
              "8  2019-02-22   9580  120   9620   9760  9420   385082\n",
              "9  2019-02-21   9460  520  10300  10600  9450  1270555\n",
              "10 2019-02-20   9980  570   9510  10100  9510   901561\n",
              "11 2019-02-19   9410    0   9420   9610  9080   381961\n",
              "12 2019-02-18   9410  320   9840   9950  9350   438546\n",
              "13 2019-02-15   9730  270  10000  10300  9580   320076\n",
              "14 2019-02-14  10000   70   9940  10200  9750   268810\n",
              "15 2019-02-13   9930  220   9890   9940  9660   279142\n",
              "16 2019-02-12   9710   10   9570  10100  9530   384989\n",
              "17 2019-02-11   9700  130   9870   9870  9520   166051\n",
              "18 2019-02-08   9830  370  10100  10150  9750   292372\n",
              "19 2019-02-07  10200  910   9450  10300  9350   729666"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "metadata": {
        "id": "cA2V7b4KTyOx",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 347
        },
        "outputId": "b0b5d7e6-6586-439d-a9c8-d8ddde6abff5"
      },
      "cell_type": "code",
      "source": [
        "# 주식 시세(당일종가) 그래프를 그린다.\n",
        " style.use('ggplot')   #그래프 스타일 지정\n",
        " plt.plot(df.날짜, df.당일종가.astype(int))  \n",
        " plt.show()"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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RZJ9zZCmd+/dw5EB1xM8S70vEnzME5qEDADR0geojtq7MHPB2UrOnEpWd2+c1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\n",
            "text/plain": [
              "<Figure size 576x396 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "metadata": {
        "id": "RnYWRXZoVfCp",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "오늘 판다스(pandas) 모듈로 데이터를 수집하려는 네이버 환율조회(https://search.naver.com/search.naver?where=nexearch&sm=top_hty&fbm=1&ie=utf8&query=%ED%99%98%EC%9C%A8%EC%A1%B0%ED%9A%8C) 화면을 살펴보면, 아래와 같이 웹 페이지 중간에 미국 달러 환율 그래프가 있고 하단에 미국, 일본 등 8개 국가 통화에 대한 원화 환율(매매기준율)이 표(table) 형식으로 정리되어 있습니다.  "
      ]
    },
    {
      "metadata": {
        "id": "G_h5JkcRULf6",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 207
        },
        "outputId": "3fa7aace-cf79-4ea3-d8f8-a355793d2b96"
      },
      "cell_type": "code",
      "source": [
        "url ='https://search.naver.com/search.naver?where=nexearch&sm=top_hty&fbm=1&ie=utf8&query=%ED%99%98%EC%9C%A8%EC%A1%B0%ED%9A%8C'\n",
        "\n",
        "tables = pd.read_html(url)\n",
        "tables"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[    일   월   화   수   목   금   토\n",
              " 0 NaN NaN NaN NaN NaN NaN NaN,           통화명    매매기준율        전일대비     등락률\n",
              " 0      미국 USD  1129.00  전일대비보합0.00   0.00%\n",
              " 1  일본 JPY 100  1010.25  전일대비상승1.09  +0.11%\n",
              " 2    유럽연합 EUR  1277.12  전일대비상승1.01  +0.08%\n",
              " 3      중국 CNY   168.11  전일대비보합0.00   0.00%\n",
              " 4      영국 GBP  1486.55  전일대비상승2.93  +0.20%\n",
              " 5      호주 AUD   795.04  전일대비상승1.58  +0.20%\n",
              " 6     캐나다 CAD   840.03  전일대비하락3.74  -0.44%\n",
              " 7    뉴질랜드 NZD   765.74  전일대비상승0.73  +0.10%]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "metadata": {
        "id": "OMoZeEP9UZVd",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "87842f9f-5754-4d8a-d698-b196bd80eb57"
      },
      "cell_type": "code",
      "source": [
        "len(tables)"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "metadata": {
        "id": "auSCJKvyUclU",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "outputId": "91728426-8d5a-40d2-dafc-a5f286d6a421"
      },
      "cell_type": "code",
      "source": [
        "tables[1]"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>통화명</th>\n",
              "      <th>매매기준율</th>\n",
              "      <th>전일대비</th>\n",
              "      <th>등락률</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>미국 USD</td>\n",
              "      <td>1129.00</td>\n",
              "      <td>전일대비보합0.00</td>\n",
              "      <td>0.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>일본 JPY 100</td>\n",
              "      <td>1010.25</td>\n",
              "      <td>전일대비상승1.09</td>\n",
              "      <td>+0.11%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>유럽연합 EUR</td>\n",
              "      <td>1277.12</td>\n",
              "      <td>전일대비상승1.01</td>\n",
              "      <td>+0.08%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>중국 CNY</td>\n",
              "      <td>168.11</td>\n",
              "      <td>전일대비보합0.00</td>\n",
              "      <td>0.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>영국 GBP</td>\n",
              "      <td>1486.55</td>\n",
              "      <td>전일대비상승2.93</td>\n",
              "      <td>+0.20%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>호주 AUD</td>\n",
              "      <td>795.04</td>\n",
              "      <td>전일대비상승1.58</td>\n",
              "      <td>+0.20%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>캐나다 CAD</td>\n",
              "      <td>840.03</td>\n",
              "      <td>전일대비하락3.74</td>\n",
              "      <td>-0.44%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>뉴질랜드 NZD</td>\n",
              "      <td>765.74</td>\n",
              "      <td>전일대비상승0.73</td>\n",
              "      <td>+0.10%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "          통화명    매매기준율        전일대비     등락률\n",
              "0      미국 USD  1129.00  전일대비보합0.00   0.00%\n",
              "1  일본 JPY 100  1010.25  전일대비상승1.09  +0.11%\n",
              "2    유럽연합 EUR  1277.12  전일대비상승1.01  +0.08%\n",
              "3      중국 CNY   168.11  전일대비보합0.00   0.00%\n",
              "4      영국 GBP  1486.55  전일대비상승2.93  +0.20%\n",
              "5      호주 AUD   795.04  전일대비상승1.58  +0.20%\n",
              "6     캐나다 CAD   840.03  전일대비하락3.74  -0.44%\n",
              "7    뉴질랜드 NZD   765.74  전일대비상승0.73  +0.10%"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "metadata": {
        "id": "cSqp-wWrUhzZ",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "df = tables[1]\n",
        "df.to_csv('exchange_rate.csv')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "tnqz8PTlUpfi",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "outputId": "4ac6cb48-a39f-4686-8463-329c2d4bf7dc"
      },
      "cell_type": "code",
      "source": [
        "exchange_data = pd.read_csv('exchange_rate.csv')\n",
        "exchange_data"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Unnamed: 0</th>\n",
              "      <th>통화명</th>\n",
              "      <th>매매기준율</th>\n",
              "      <th>전일대비</th>\n",
              "      <th>등락률</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>미국 USD</td>\n",
              "      <td>1129.00</td>\n",
              "      <td>전일대비보합0.00</td>\n",
              "      <td>0.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>일본 JPY 100</td>\n",
              "      <td>1010.25</td>\n",
              "      <td>전일대비상승1.09</td>\n",
              "      <td>+0.11%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>유럽연합 EUR</td>\n",
              "      <td>1277.12</td>\n",
              "      <td>전일대비상승1.01</td>\n",
              "      <td>+0.08%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>중국 CNY</td>\n",
              "      <td>168.11</td>\n",
              "      <td>전일대비보합0.00</td>\n",
              "      <td>0.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>영국 GBP</td>\n",
              "      <td>1486.55</td>\n",
              "      <td>전일대비상승2.93</td>\n",
              "      <td>+0.20%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>5</td>\n",
              "      <td>호주 AUD</td>\n",
              "      <td>795.04</td>\n",
              "      <td>전일대비상승1.58</td>\n",
              "      <td>+0.20%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>6</td>\n",
              "      <td>캐나다 CAD</td>\n",
              "      <td>840.03</td>\n",
              "      <td>전일대비하락3.74</td>\n",
              "      <td>-0.44%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>7</td>\n",
              "      <td>뉴질랜드 NZD</td>\n",
              "      <td>765.74</td>\n",
              "      <td>전일대비상승0.73</td>\n",
              "      <td>+0.10%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Unnamed: 0         통화명    매매기준율        전일대비     등락률\n",
              "0           0      미국 USD  1129.00  전일대비보합0.00   0.00%\n",
              "1           1  일본 JPY 100  1010.25  전일대비상승1.09  +0.11%\n",
              "2           2    유럽연합 EUR  1277.12  전일대비상승1.01  +0.08%\n",
              "3           3      중국 CNY   168.11  전일대비보합0.00   0.00%\n",
              "4           4      영국 GBP  1486.55  전일대비상승2.93  +0.20%\n",
              "5           5      호주 AUD   795.04  전일대비상승1.58  +0.20%\n",
              "6           6     캐나다 CAD   840.03  전일대비하락3.74  -0.44%\n",
              "7           7    뉴질랜드 NZD   765.74  전일대비상승0.73  +0.10%"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "metadata": {
        "id": "VoZYrrxKXDGL",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "이 URL을 가지고 현재 사이트의 HTML 문서를 Requests와 BeautifulSoup 라이브러리를 이용해 가져올 것입니다. 다음 코드를 이용해서요\n",
        "\n",
        "출처: https://engkimbs.tistory.com/624 [프로그래밍 자료 저장소]"
      ]
    },
    {
      "metadata": {
        "id": "sf1jDI9MXDXc",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 19247
        },
        "outputId": "78132e9c-5769-49f3-d43b-039f1a241139"
      },
      "cell_type": "code",
      "source": [
        "import requests\n",
        "from bs4 import BeautifulSoup\n",
        "\n",
        "URL = \"https://finance.naver.com/item/main.nhn?code=005930\"\n",
        "\n",
        "samsung_electronic = requests.get(URL)\n",
        "html = samsung_electronic.text\n",
        "\n",
        "soup = BeautifulSoup(html, 'html.parser')\n",
        "\n",
        "finance_html = soup.select('div.section.cop_analysis div.sub_section')[0]\n",
        "print(finance_html)"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<div class=\"sub_section\">\n",
            "<table class=\"tb_type1 tb_num tb_type1_ifrs\" summary=\"기업실적분석에 관한표이며 주요재무정보를 최근 연간 실적, 분기 실적에 따라 정보를 제공합니다.\">\n",
            "<caption>기업실적분석 테이블</caption>\n",
            "<colgroup>\n",
            "<col width=\"86\"/>\n",
            "<col width=\"59\"/>\n",
            "<col width=\"59\"/>\n",
            "<col width=\"59\"/>\n",
            "<col width=\"62\"/>\n",
            "<col width=\"58\"/>\n",
            "<col width=\"58\"/>\n",
            "<col width=\"58\"/>\n",
            "<col width=\"58\"/>\n",
            "<col/>\n",
            "</colgroup>\n",
            "<thead>\n",
            "<tr class=\"t_line\">\n",
            "<th class=\"h_th2 th_cop_anal5 b_line\" rowspan=\"3\"><strong>주요재무정보</strong></th>\n",
            "<th class=\"h_th2 th_cop_anal6\" colspan=\"4\" scope=\"col\"><strong>최근 연간 실적</strong></th>\n",
            "<th class=\"h_th2 th_cop_anal7 last\" colspan=\"6\" scope=\"col\"><strong>최근 분기 실적</strong></th>\n",
            "</tr>\n",
            "<tr>\n",
            "<th class=\"\" scope=\"col\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t2016.12\r\n",
            "\t\t\t\t\t\t\t\t\t</th>\n",
            "<th class=\"\" scope=\"col\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t2017.12\r\n",
            "\t\t\t\t\t\t\t\t\t</th>\n",
            "<th class=\"\" scope=\"col\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t2018.12\r\n",
            "\t\t\t\t\t\t\t\t\t</th>\n",
            "<th class=\"t_line cell_strong\" scope=\"col\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t2019.12<em>(E)</em>\n",
            "</th>\n",
            "<th class=\"\" scope=\"col\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t2017.12\r\n",
            "\t\t\t\t\t\t\t\t\t</th>\n",
            "<th class=\"\" scope=\"col\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t2018.03\r\n",
            "\t\t\t\t\t\t\t\t\t</th>\n",
            "<th class=\"\" scope=\"col\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t2018.06\r\n",
            "\t\t\t\t\t\t\t\t\t</th>\n",
            "<th class=\"\" scope=\"col\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t2018.09\r\n",
            "\t\t\t\t\t\t\t\t\t</th>\n",
            "<th class=\"\" scope=\"col\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t2018.12\r\n",
            "\t\t\t\t\t\t\t\t\t</th>\n",
            "<th class=\"last cell_strong\" scope=\"col\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t2019.03<em>(E)</em>\n",
            "</th>\n",
            "</tr>\n",
            "<tr class=\"b_line\">\n",
            "<th class=\"link_ifrs\" scope=\"col\"><span>\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\tIFRS연결\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</span></th>\n",
            "<th class=\"link_ifrs\" scope=\"col\"><span>\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\tIFRS연결\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</span></th>\n",
            "<th class=\"link_ifrs\" scope=\"col\"><span>\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\tIFRS연결\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</span></th>\n",
            "<th class=\"link_ifrs t_line cell_strong\" scope=\"col\"><span>\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\tIFRS연결\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</span></th>\n",
            "<th class=\"link_ifrs\" scope=\"col\"><span>\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\tIFRS연결\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</span></th>\n",
            "<th class=\"link_ifrs\" scope=\"col\"><span>\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\tIFRS연결\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</span></th>\n",
            "<th class=\"link_ifrs\" scope=\"col\"><span>\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\tIFRS연결\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</span></th>\n",
            "<th class=\"link_ifrs\" scope=\"col\"><span>\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\tIFRS연결\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</span></th>\n",
            "<th class=\"link_ifrs\" scope=\"col\"><span>\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\tIFRS연결\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</span></th>\n",
            "<th class=\"link_ifrs last cell_strong\" scope=\"col\"><span>\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\tIFRS연결\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</span></th>\n",
            "</tr>\n",
            "</thead>\n",
            "<tbody>\n",
            "<tr>\n",
            "<th class=\"h_th2 th_cop_anal8\" scope=\"row\"><strong>매출액</strong></th>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t2,018,667\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t2,395,754\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t2,437,714\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" t_line cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t2,274,360\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t659,784\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t605,637\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t584,827\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t654,600\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t592,650\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" last cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t540,164\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "</tr>\n",
            "<tr>\n",
            "<th class=\"h_th2 th_cop_anal9\" scope=\"row\"><strong>영업이익</strong></th>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t292,407\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t536,450\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t588,867\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" t_line cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t376,046\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t151,470\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t156,422\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t148,690\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t175,749\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t108,006\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" last cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t85,636\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "</tr>\n",
            "<tr class=\"line_end\">\n",
            "<th class=\"h_th2 th_cop_anal10\" scope=\"row\"><strong>당기순이익</strong></th>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t227,261\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t421,867\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t443,449\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" t_line cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t300,359\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t122,551\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t116,885\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t110,434\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t131,507\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t84,622\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" last cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t72,214\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "</tr>\n",
            "<tr>\n",
            "<th class=\"h_th2 th_cop_anal11\" scope=\"row\"><strong>영업이익률</strong></th>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t14.49\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t22.39\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t24.16\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" t_line cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t16.53\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t22.96\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t25.83\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t25.42\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t26.85\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t18.22\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" last cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t15.85\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "</tr>\n",
            "<tr>\n",
            "<th class=\"h_th2 th_cop_anal12\" scope=\"row\"><strong>순이익률</strong></th>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t11.26\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t17.61\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t18.19\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" t_line cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t13.21\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t18.57\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t19.30\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t18.88\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t20.09\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t14.28\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" last cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t13.37\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "</tr>\n",
            "<tr class=\"line_end\">\n",
            "<th class=\"h_th2 th_cop_anal13\" scope=\"row\"><strong>ROE(지배주주)</strong></th>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t12.48\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t21.01\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t19.63\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" t_line cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t11.76\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t21.01\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t22.79\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t21.77\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t21.73\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t19.63\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" null last cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t \r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "</tr>\n",
            "<tr>\n",
            "<th class=\"h_th2 th_cop_anal14\" scope=\"row\"><strong>부채비율</strong></th>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t35.87\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t40.68\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t36.97\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" null t_line cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t \r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t40.68\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t39.96\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t36.70\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t39.28\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t36.97\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" null last cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t \r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "</tr>\n",
            "<tr>\n",
            "<th class=\"h_th2 th_cop_anal15\" scope=\"row\"><strong>당좌비율</strong></th>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t223.46\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t181.61\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t204.12\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" null t_line cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t \r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t181.61\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t188.10\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t197.58\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t198.16\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t204.12\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" null last cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t \r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</td>\n",
            "</tr>\n",
            "<tr class=\"line_end\">\n",
            "<th class=\"h_th2 th_cop_anal16\" scope=\"row\"><strong>유보율</strong></th>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t22,004.14\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t24,536.12\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t27,531.92\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" null t_line cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t \r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t24,536.12\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t25,279.75\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t26,235.70\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t27,412.63\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t27,531.92\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" null last cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t \r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "</tr>\n",
            "<tr>\n",
            "<th class=\"h_th2 th_cop_anal17\" scope=\"row\"><strong>EPS(원)</strong></th>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t2,735\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t5,421\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t6,024\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" t_line cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t4,330\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t1,629\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t1,583\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t1,500\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t1,771\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t1,163\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" last cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t999\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "</tr>\n",
            "<tr class=\"line_end\">\n",
            "<th class=\"h_th2 th_cop_anal18\" scope=\"row\"><strong>BPS(원)</strong></th>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t26,636\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t30,427\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t35,342\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" t_line cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t38,300\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t30,427\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t31,782\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t33,223\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t34,519\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t35,342\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" null last cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t \r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t</td>\n",
            "</tr>\n",
            "<tr>\n",
            "<th class=\"h_th2 th_cop_anal19\" scope=\"row\"><strong>주당배당금(원)</strong></th>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t570\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t850\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t1,416\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\" t_line cell_strong\">\r\n",
            "\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t1,471\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"no_data 2\">\n",
            "</td>\n",
            "<td class=\"no_data 2\">\n",
            "</td>\n",
            "<td class=\"no_data 2\">\n",
            "</td>\n",
            "<td class=\"no_data 2\">\n",
            "</td>\n",
            "<td class=\"no_data 2\">\n",
            "</td>\n",
            "<td class=\"no_data 2 last cell_strong\">\n",
            "</td>\n",
            "</tr>\n",
            "<tr>\n",
            "<th class=\"h_th2 th_cop_anal22\" scope=\"row\"><strong>시가배당률(%)</strong></th>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t1.58\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t1.67\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t3.66\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"no_data 2 t_line cell_strong\">\n",
            "</td>\n",
            "<td class=\"no_data 2\">\n",
            "</td>\n",
            "<td class=\"no_data 2\">\n",
            "</td>\n",
            "<td class=\"no_data 2\">\n",
            "</td>\n",
            "<td class=\"no_data 2\">\n",
            "</td>\n",
            "<td class=\"no_data 2\">\n",
            "</td>\n",
            "<td class=\"no_data 2 last cell_strong\">\n",
            "</td>\n",
            "</tr>\n",
            "<tr>\n",
            "<th class=\"h_th2 th_cop_anal23\" scope=\"row\"><strong>배당성향(%)</strong></th>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t17.81\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t14.09\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"\">\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\t\n",
            "\t\t\t\t21.92\n",
            "\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t\t\r\n",
            "\t\t\t\t\t\t\t\t\t</td>\n",
            "<td class=\"no_data 2 t_line cell_strong\">\n",
            "</td>\n",
            "<td class=\"no_data 2\">\n",
            "</td>\n",
            "<td class=\"no_data 2\">\n",
            "</td>\n",
            "<td class=\"no_data 2\">\n",
            "</td>\n",
            "<td class=\"no_data 2\">\n",
            "</td>\n",
            "<td class=\"no_data 2\">\n",
            "</td>\n",
            "<td class=\"no_data 2 last cell_strong\">\n",
            "</td>\n",
            "</tr>\n",
            "</tbody>\n",
            "</table>\n",
            "</div>\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "4EVMeUejXuCv",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "th_data = [item.get_text().strip() for item in finance_html.select('thead th')]\n",
        "annual_date = th_data[3:7]\n",
        "quarter_date = th_data[7:13]\n",
        "\n",
        "finance_index = [item.get_text().strip() for item in finance_html.select('th.h_th2')][3:]\n",
        "\n",
        "finance_data = [item.get_text().strip() for item in finance_html.select('td')]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "saxCbzVFYNFQ",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "\n",
        "finance_data = np.array(finance_data)\n",
        "finance_data.resize(len(finance_index), 10)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "w-XBHZCvYTah",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 483
        },
        "outputId": "add1a272-146a-46ba-82ed-d832f051328d"
      },
      "cell_type": "code",
      "source": [
        "finance_date = annual_date + quarter_date\n",
        "\n",
        "finance = pd.DataFrame(data=finance_data[0:,0:], index=finance_index, columns=finance_date)\n",
        "finance"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>2016.12</th>\n",
              "      <th>2017.12</th>\n",
              "      <th>2018.12</th>\n",
              "      <th>2019.12(E)</th>\n",
              "      <th>2017.12</th>\n",
              "      <th>2018.03</th>\n",
              "      <th>2018.06</th>\n",
              "      <th>2018.09</th>\n",
              "      <th>2018.12</th>\n",
              "      <th>2019.03(E)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>매출액</th>\n",
              "      <td>2,018,667</td>\n",
              "      <td>2,395,754</td>\n",
              "      <td>2,437,714</td>\n",
              "      <td>2,274,360</td>\n",
              "      <td>659,784</td>\n",
              "      <td>605,637</td>\n",
              "      <td>584,827</td>\n",
              "      <td>654,600</td>\n",
              "      <td>592,650</td>\n",
              "      <td>540,164</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>영업이익</th>\n",
              "      <td>292,407</td>\n",
              "      <td>536,450</td>\n",
              "      <td>588,867</td>\n",
              "      <td>376,046</td>\n",
              "      <td>151,470</td>\n",
              "      <td>156,422</td>\n",
              "      <td>148,690</td>\n",
              "      <td>175,749</td>\n",
              "      <td>108,006</td>\n",
              "      <td>85,636</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>당기순이익</th>\n",
              "      <td>227,261</td>\n",
              "      <td>421,867</td>\n",
              "      <td>443,449</td>\n",
              "      <td>300,359</td>\n",
              "      <td>122,551</td>\n",
              "      <td>116,885</td>\n",
              "      <td>110,434</td>\n",
              "      <td>131,507</td>\n",
              "      <td>84,622</td>\n",
              "      <td>72,214</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>영업이익률</th>\n",
              "      <td>14.49</td>\n",
              "      <td>22.39</td>\n",
              "      <td>24.16</td>\n",
              "      <td>16.53</td>\n",
              "      <td>22.96</td>\n",
              "      <td>25.83</td>\n",
              "      <td>25.42</td>\n",
              "      <td>26.85</td>\n",
              "      <td>18.22</td>\n",
              "      <td>15.85</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>순이익률</th>\n",
              "      <td>11.26</td>\n",
              "      <td>17.61</td>\n",
              "      <td>18.19</td>\n",
              "      <td>13.21</td>\n",
              "      <td>18.57</td>\n",
              "      <td>19.30</td>\n",
              "      <td>18.88</td>\n",
              "      <td>20.09</td>\n",
              "      <td>14.28</td>\n",
              "      <td>13.37</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ROE(지배주주)</th>\n",
              "      <td>12.48</td>\n",
              "      <td>21.01</td>\n",
              "      <td>19.63</td>\n",
              "      <td>11.76</td>\n",
              "      <td>21.01</td>\n",
              "      <td>22.79</td>\n",
              "      <td>21.77</td>\n",
              "      <td>21.73</td>\n",
              "      <td>19.63</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>부채비율</th>\n",
              "      <td>35.87</td>\n",
              "      <td>40.68</td>\n",
              "      <td>36.97</td>\n",
              "      <td></td>\n",
              "      <td>40.68</td>\n",
              "      <td>39.96</td>\n",
              "      <td>36.70</td>\n",
              "      <td>39.28</td>\n",
              "      <td>36.97</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>당좌비율</th>\n",
              "      <td>223.46</td>\n",
              "      <td>181.61</td>\n",
              "      <td>204.12</td>\n",
              "      <td></td>\n",
              "      <td>181.61</td>\n",
              "      <td>188.10</td>\n",
              "      <td>197.58</td>\n",
              "      <td>198.16</td>\n",
              "      <td>204.12</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>유보율</th>\n",
              "      <td>22,004.14</td>\n",
              "      <td>24,536.12</td>\n",
              "      <td>27,531.92</td>\n",
              "      <td></td>\n",
              "      <td>24,536.12</td>\n",
              "      <td>25,279.75</td>\n",
              "      <td>26,235.70</td>\n",
              "      <td>27,412.63</td>\n",
              "      <td>27,531.92</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>EPS(원)</th>\n",
              "      <td>2,735</td>\n",
              "      <td>5,421</td>\n",
              "      <td>6,024</td>\n",
              "      <td>4,330</td>\n",
              "      <td>1,629</td>\n",
              "      <td>1,583</td>\n",
              "      <td>1,500</td>\n",
              "      <td>1,771</td>\n",
              "      <td>1,163</td>\n",
              "      <td>999</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BPS(원)</th>\n",
              "      <td>26,636</td>\n",
              "      <td>30,427</td>\n",
              "      <td>35,342</td>\n",
              "      <td>38,300</td>\n",
              "      <td>30,427</td>\n",
              "      <td>31,782</td>\n",
              "      <td>33,223</td>\n",
              "      <td>34,519</td>\n",
              "      <td>35,342</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>주당배당금(원)</th>\n",
              "      <td>570</td>\n",
              "      <td>850</td>\n",
              "      <td>1,416</td>\n",
              "      <td>1,471</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>시가배당률(%)</th>\n",
              "      <td>1.58</td>\n",
              "      <td>1.67</td>\n",
              "      <td>3.66</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>배당성향(%)</th>\n",
              "      <td>17.81</td>\n",
              "      <td>14.09</td>\n",
              "      <td>21.92</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",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             2016.12    2017.12    2018.12 2019.12(E)    2017.12    2018.03  \\\n",
              "매출액        2,018,667  2,395,754  2,437,714  2,274,360    659,784    605,637   \n",
              "영업이익         292,407    536,450    588,867    376,046    151,470    156,422   \n",
              "당기순이익        227,261    421,867    443,449    300,359    122,551    116,885   \n",
              "영업이익률          14.49      22.39      24.16      16.53      22.96      25.83   \n",
              "순이익률           11.26      17.61      18.19      13.21      18.57      19.30   \n",
              "ROE(지배주주)      12.48      21.01      19.63      11.76      21.01      22.79   \n",
              "부채비율           35.87      40.68      36.97                 40.68      39.96   \n",
              "당좌비율          223.46     181.61     204.12                181.61     188.10   \n",
              "유보율        22,004.14  24,536.12  27,531.92             24,536.12  25,279.75   \n",
              "EPS(원)         2,735      5,421      6,024      4,330      1,629      1,583   \n",
              "BPS(원)        26,636     30,427     35,342     38,300     30,427     31,782   \n",
              "주당배당금(원)         570        850      1,416      1,471                         \n",
              "시가배당률(%)        1.58       1.67       3.66                                    \n",
              "배당성향(%)        17.81      14.09      21.92                                    \n",
              "\n",
              "             2018.06    2018.09    2018.12 2019.03(E)  \n",
              "매출액          584,827    654,600    592,650    540,164  \n",
              "영업이익         148,690    175,749    108,006     85,636  \n",
              "당기순이익        110,434    131,507     84,622     72,214  \n",
              "영업이익률          25.42      26.85      18.22      15.85  \n",
              "순이익률           18.88      20.09      14.28      13.37  \n",
              "ROE(지배주주)      21.77      21.73      19.63             \n",
              "부채비율           36.70      39.28      36.97             \n",
              "당좌비율          197.58     198.16     204.12             \n",
              "유보율        26,235.70  27,412.63  27,531.92             \n",
              "EPS(원)         1,500      1,771      1,163        999  \n",
              "BPS(원)        33,223     34,519     35,342             \n",
              "주당배당금(원)                                               \n",
              "시가배당률(%)                                               \n",
              "배당성향(%)                                                "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "metadata": {
        "id": "G3ur_13uYcCo",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "annual_finance = finance.iloc[:, :4]\n",
        "quarter_finance = finance.iloc[:, 4:]"
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}