03-2.ipynb

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    {
      "cell_type": "markdown",
      "id": "30028106",
      "metadata": {
        "id": "30028106"
      },
      "source": [
        "# 03-2 잘못된 데이터 수정하기"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "884b4159",
      "metadata": {
        "id": "884b4159"
      },
      "source": [
        "<table class=\"tfo-notebook-buttons\" align=\"left\">\n",
        "  <td>\n",
        "    <a target=\"_blank\" href=\"https://nbviewer.jupyter.org/github/rickiepark/hg-da/blob/main/03-2.ipynb\"><img src=\"https://jupyter.org/assets/share.png\" width=\"61\" />주피터 노트북 뷰어로 보기</a>\n",
        "  </td>\n",
        "  <td>\n",
        "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/rickiepark/hg-da/blob/main/03-2.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />구글 코랩(Colab)에서 실행하기</a>\n",
        "  </td>\n",
        "</table>"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "c766c091",
      "metadata": {
        "id": "c766c091"
      },
      "source": [
        "## 데이터프레임 정보 요약 확인하기"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "id": "382bfa69",
      "metadata": {
        "colab": {
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          "height": 109
        },
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        "outputId": "50cf8089-c20a-4e8f-81ad-107de7facd80"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Downloading...\n",
            "From: https://bit.ly/3GisL6J\n",
            "To: /content/ns_book4.csv\n",
            "100%|██████████| 55.5M/55.5M [00:01<00:00, 32.4MB/s]\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'ns_book4.csv'"
            ],
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              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 1
        }
      ],
      "source": [
        "import gdown\n",
        "\n",
        "gdown.download('https://bit.ly/3GisL6J', 'ns_book4.csv', quiet=False)"
      ]
    },
    {
      "cell_type": "code",
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      "id": "814573a0",
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            "text/plain": [
              "   번호                    도서명                저자    출판사  발행년도           ISBN  \\\n",
              "0   1                인공지능과 흙            김동훈 지음    민음사  2021  9788937444319   \n",
              "1   2           가짜 행복 권하는 사회            김태형 지음   갈매나무  2021  9791190123969   \n",
              "2   3  나도 한 문장 잘 쓰면 바랄 게 없겠네            김선영 지음   블랙피쉬  2021  9788968332982   \n",
              "3   4                예루살렘 해변  이도 게펜 지음, 임재희 옮김  문학세계사  2021  9788970759906   \n",
              "4   5  김성곤의 중국한시기행 : 장강·황하 편            김성곤 지음    김영사  2021  9788934990833   \n",
              "\n",
              "  세트 ISBN 부가기호    권 주제분류번호  도서권수  대출건수        등록일자  \n",
              "0     NaN  NaN  NaN    NaN     1   0.0  2021-03-19  \n",
              "1     NaN  NaN  NaN    NaN     1   0.0  2021-03-19  \n",
              "2     NaN  NaN  NaN    NaN     1   0.0  2021-03-19  \n",
              "3     NaN  NaN  NaN    NaN     1   0.0  2021-03-19  \n",
              "4     NaN  NaN  NaN    NaN     1   0.0  2021-03-19  "
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              "      <td>1</td>\n",
              "      <td>인공지능과 흙</td>\n",
              "      <td>김동훈 지음</td>\n",
              "      <td>민음사</td>\n",
              "      <td>2021</td>\n",
              "      <td>9788937444319</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>2021-03-19</td>\n",
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              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>가짜 행복 권하는 사회</td>\n",
              "      <td>김태형 지음</td>\n",
              "      <td>갈매나무</td>\n",
              "      <td>2021</td>\n",
              "      <td>9791190123969</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2021-03-19</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>나도 한 문장 잘 쓰면 바랄 게 없겠네</td>\n",
              "      <td>김선영 지음</td>\n",
              "      <td>블랙피쉬</td>\n",
              "      <td>2021</td>\n",
              "      <td>9788968332982</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2021-03-19</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>예루살렘 해변</td>\n",
              "      <td>이도 게펜 지음, 임재희 옮김</td>\n",
              "      <td>문학세계사</td>\n",
              "      <td>2021</td>\n",
              "      <td>9788970759906</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2021-03-19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>김성곤의 중국한시기행 : 장강·황하 편</td>\n",
              "      <td>김성곤 지음</td>\n",
              "      <td>김영사</td>\n",
              "      <td>2021</td>\n",
              "      <td>9788934990833</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2021-03-19</td>\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
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              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
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              "\n",
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              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "        console.error('Error during call to suggestCharts:', error);\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "ns_book4"
            }
          },
          "metadata": {},
          "execution_count": 2
        }
      ],
      "source": [
        "import pandas as pd\n",
        "\n",
        "ns_book4 = pd.read_csv('ns_book4.csv', low_memory=False)\n",
        "ns_book4.head()"
      ]
    },
    {
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      "execution_count": 3,
      "id": "ba1c21de",
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        },
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        {
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          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 384591 entries, 0 to 384590\n",
            "Data columns (total 13 columns):\n",
            " #   Column   Non-Null Count   Dtype  \n",
            "---  ------   --------------   -----  \n",
            " 0   번호       384591 non-null  int64  \n",
            " 1   도서명      384188 non-null  object \n",
            " 2   저자       384393 non-null  object \n",
            " 3   출판사      379950 non-null  object \n",
            " 4   발행년도     384577 non-null  object \n",
            " 5   ISBN     384591 non-null  object \n",
            " 6   세트 ISBN  56576 non-null   object \n",
            " 7   부가기호     310386 non-null  object \n",
            " 8   권        63378 non-null   object \n",
            " 9   주제분류번호   364727 non-null  object \n",
            " 10  도서권수     384591 non-null  int64  \n",
            " 11  대출건수     384591 non-null  float64\n",
            " 12  등록일자     384591 non-null  object \n",
            "dtypes: float64(1), int64(2), object(10)\n",
            "memory usage: 38.1+ MB\n"
          ]
        }
      ],
      "source": [
        "ns_book4.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "id": "cda357e6",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:32.432485Z",
          "iopub.status.busy": "2021-09-07T02:39:32.430620Z",
          "iopub.status.idle": "2021-09-07T02:39:32.930800Z",
          "shell.execute_reply": "2021-09-07T02:39:32.929866Z"
        },
        "id": "cda357e6",
        "outputId": "c2280909-66ab-4132-9682-d067de0f1533"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 384591 entries, 0 to 384590\n",
            "Data columns (total 13 columns):\n",
            " #   Column   Non-Null Count   Dtype  \n",
            "---  ------   --------------   -----  \n",
            " 0   번호       384591 non-null  int64  \n",
            " 1   도서명      384188 non-null  object \n",
            " 2   저자       384393 non-null  object \n",
            " 3   출판사      379950 non-null  object \n",
            " 4   발행년도     384577 non-null  object \n",
            " 5   ISBN     384591 non-null  object \n",
            " 6   세트 ISBN  56576 non-null   object \n",
            " 7   부가기호     310386 non-null  object \n",
            " 8   권        63378 non-null   object \n",
            " 9   주제분류번호   364727 non-null  object \n",
            " 10  도서권수     384591 non-null  int64  \n",
            " 11  대출건수     384591 non-null  float64\n",
            " 12  등록일자     384591 non-null  object \n",
            "dtypes: float64(1), int64(2), object(10)\n",
            "memory usage: 266.2 MB\n"
          ]
        }
      ],
      "source": [
        "ns_book4.info(memory_usage='deep')"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "c0f7357d",
      "metadata": {
        "id": "c0f7357d"
      },
      "source": [
        "## 누락된 값 처리하기"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "id": "850d480b",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 492
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:32.935498Z",
          "iopub.status.busy": "2021-09-07T02:39:32.935123Z",
          "iopub.status.idle": "2021-09-07T02:39:33.078149Z",
          "shell.execute_reply": "2021-09-07T02:39:33.078717Z"
        },
        "id": "850d480b",
        "outputId": "e6c44469-ec25-4950-f532-5abd332e659d"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "번호              0\n",
              "도서명           403\n",
              "저자            198\n",
              "출판사          4641\n",
              "발행년도           14\n",
              "ISBN            0\n",
              "세트 ISBN    328015\n",
              "부가기호        74205\n",
              "권          321213\n",
              "주제분류번호      19864\n",
              "도서권수            0\n",
              "대출건수            0\n",
              "등록일자            0\n",
              "dtype: int64"
            ],
            "text/html": [
              "<div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "      <th>발행년도</th>\n",
              "      <td>14</td>\n",
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              "      <td>74205</td>\n",
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              "      <th>권</th>\n",
              "      <td>321213</td>\n",
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              "      <th>주제분류번호</th>\n",
              "      <td>19864</td>\n",
              "    </tr>\n",
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              "      <th>도서권수</th>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>대출건수</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
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              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "ns_book4.isna().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "id": "0229852b",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:33.084003Z",
          "iopub.status.busy": "2021-09-07T02:39:33.083622Z",
          "iopub.status.idle": "2021-09-07T02:39:33.092341Z",
          "shell.execute_reply": "2021-09-07T02:39:33.091461Z"
        },
        "id": "0229852b",
        "outputId": "9c2357bb-34c1-41e8-cabc-1a3d9c444b68"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ],
      "source": [
        "ns_book4.loc[0, '도서권수'] = None\n",
        "ns_book4['도서권수'].isna().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "id": "29b2bc28",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:33.109181Z",
          "iopub.status.busy": "2021-09-07T02:39:33.108361Z",
          "iopub.status.idle": "2021-09-07T02:39:33.111218Z",
          "shell.execute_reply": "2021-09-07T02:39:33.111891Z"
        },
        "id": "29b2bc28",
        "outputId": "48027ac8-afbf-4fe0-b734-ccdb1249d6c6"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   번호           도서명      저자   출판사  발행년도           ISBN 세트 ISBN 부가기호    권  \\\n",
              "0   1       인공지능과 흙  김동훈 지음   민음사  2021  9788937444319     NaN  NaN  NaN   \n",
              "1   2  가짜 행복 권하는 사회  김태형 지음  갈매나무  2021  9791190123969     NaN  NaN  NaN   \n",
              "\n",
              "  주제분류번호  도서권수  대출건수        등록일자  \n",
              "0    NaN   NaN   0.0  2021-03-19  \n",
              "1    NaN   1.0   0.0  2021-03-19  "
            ],
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              "\n",
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              "      <td>2021-03-19</td>\n",
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              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
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              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2b099497-dfdf-4c90-bcfe-bbb309fcdcaa')\"\n",
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              "  <style>\n",
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              "      display:flex;\n",
              "      gap: 12px;\n",
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              "\n",
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              "      background-color: #E8F0FE;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "    [theme=dark] .colab-df-convert {\n",
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              "      fill: #D2E3FC;\n",
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              "    [theme=dark] .colab-df-convert:hover {\n",
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              "\n",
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              "        document.querySelector('#df-2b099497-dfdf-4c90-bcfe-bbb309fcdcaa button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-2b099497-dfdf-4c90-bcfe-bbb309fcdcaa');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
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              "      --hover-bg-color: #E2EBFA;\n",
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              "\n",
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              "\n",
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              "    border-radius: 50%;\n",
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              "    height: 32px;\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
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              "    box-shadow: none;\n",
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              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
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              "  @keyframes spin {\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-db41e790-572a-46cb-acaa-d8d7b64f3b64 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
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      "source": [
        "ns_book4.head(2)"
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    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "id": "1534c277",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:33.116445Z",
          "iopub.status.busy": "2021-09-07T02:39:33.115625Z",
          "iopub.status.idle": "2021-09-07T02:39:33.200426Z",
          "shell.execute_reply": "2021-09-07T02:39:33.201117Z"
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        "id": "1534c277",
        "outputId": "cce41d71-6ba0-4ae1-8442-ccee61ea8fe8"
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              "   번호           도서명      저자   출판사  발행년도           ISBN 세트 ISBN 부가기호    권  \\\n",
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              "1   2  가짜 행복 권하는 사회  김태형 지음  갈매나무  2021  9791190123969     NaN  NaN  NaN   \n",
              "\n",
              "  주제분류번호  도서권수  대출건수        등록일자  \n",
              "0    NaN     1     0  2021-03-19  \n",
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              "\n",
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              "        document.querySelector('#df-3ddec178-8f00-4f4b-9651-3516355eb0fd button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-3ddec178-8f00-4f4b-9651-3516355eb0fd');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "\n",
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              "\n",
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              "\n",
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              "      spin 1s steps(1) infinite;\n",
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              "\n",
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              "    0% {\n",
              "      border-color: transparent;\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-f3d1056d-3c69-4081-b0ff-587037056901 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "</div>\n",
              "\n",
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              "  </div>\n"
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              "type": "dataframe",
              "variable_name": "ns_book4"
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          },
          "metadata": {},
          "execution_count": 8
        }
      ],
      "source": [
        "ns_book4.loc[0, '도서권수'] = 1\n",
        "ns_book4 = ns_book4.astype({'도서권수':'int64', '대출건수': 'int64'})\n",
        "ns_book4.head(2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "id": "cea62f77",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:33.204809Z",
          "iopub.status.busy": "2021-09-07T02:39:33.204427Z",
          "iopub.status.idle": "2021-09-07T02:39:33.228037Z",
          "shell.execute_reply": "2021-09-07T02:39:33.227692Z"
        },
        "id": "cea62f77",
        "outputId": "4ff7eef9-1123-40e6-b293-eb7adff2ee77"
      },
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "   번호           도서명      저자   출판사  발행년도           ISBN 세트 ISBN  부가기호    권  \\\n",
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              "1   2  가짜 행복 권하는 사회  김태형 지음  갈매나무  2021  9791190123969     NaN   NaN  NaN   \n",
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              "0    NaN     1     0  2021-03-19  \n",
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              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-810b7c3a-252e-4ca5-bb7e-596195f03374 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-810b7c3a-252e-4ca5-bb7e-596195f03374');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-c1eb9eb8-b416-43b8-b912-7e389a176b8a\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c1eb9eb8-b416-43b8-b912-7e389a176b8a')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-c1eb9eb8-b416-43b8-b912-7e389a176b8a button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "ns_book4"
            }
          },
          "metadata": {},
          "execution_count": 9
        }
      ],
      "source": [
        "ns_book4.loc[0, '부가기호'] = None\n",
        "ns_book4.head(2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "id": "8634236a",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:33.233777Z",
          "iopub.status.busy": "2021-09-07T02:39:33.232841Z",
          "iopub.status.idle": "2021-09-07T02:39:33.266810Z",
          "shell.execute_reply": "2021-09-07T02:39:33.266453Z"
        },
        "id": "8634236a",
        "outputId": "99ab4d39-2b2b-4352-b620-df8387dba6ea"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   번호           도서명      저자   출판사  발행년도           ISBN 세트 ISBN 부가기호    권  \\\n",
              "0   1       인공지능과 흙  김동훈 지음   민음사  2021  9788937444319     NaN  NaN  NaN   \n",
              "1   2  가짜 행복 권하는 사회  김태형 지음  갈매나무  2021  9791190123969     NaN  NaN  NaN   \n",
              "\n",
              "  주제분류번호  도서권수  대출건수        등록일자  \n",
              "0    NaN     1     0  2021-03-19  \n",
              "1    NaN     1     0  2021-03-19  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-93002bfa-e2e6-4d1f-98b7-b227b43fc26c\" class=\"colab-df-container\">\n",
              "    <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>번호</th>\n",
              "      <th>도서명</th>\n",
              "      <th>저자</th>\n",
              "      <th>출판사</th>\n",
              "      <th>발행년도</th>\n",
              "      <th>ISBN</th>\n",
              "      <th>세트 ISBN</th>\n",
              "      <th>부가기호</th>\n",
              "      <th>권</th>\n",
              "      <th>주제분류번호</th>\n",
              "      <th>도서권수</th>\n",
              "      <th>대출건수</th>\n",
              "      <th>등록일자</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>인공지능과 흙</td>\n",
              "      <td>김동훈 지음</td>\n",
              "      <td>민음사</td>\n",
              "      <td>2021</td>\n",
              "      <td>9788937444319</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2021-03-19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>가짜 행복 권하는 사회</td>\n",
              "      <td>김태형 지음</td>\n",
              "      <td>갈매나무</td>\n",
              "      <td>2021</td>\n",
              "      <td>9791190123969</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2021-03-19</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-93002bfa-e2e6-4d1f-98b7-b227b43fc26c')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-93002bfa-e2e6-4d1f-98b7-b227b43fc26c button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-93002bfa-e2e6-4d1f-98b7-b227b43fc26c');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-657821d7-f4be-47b2-b2cc-dddde693a623\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-657821d7-f4be-47b2-b2cc-dddde693a623')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-657821d7-f4be-47b2-b2cc-dddde693a623 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "ns_book4"
            }
          },
          "metadata": {},
          "execution_count": 10
        }
      ],
      "source": [
        "import numpy as np\n",
        "\n",
        "ns_book4.loc[0, '부가기호'] = np.nan\n",
        "ns_book4.head(2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "id": "6b4fd348",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:33.286458Z",
          "iopub.status.busy": "2021-09-07T02:39:33.285615Z",
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              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-a1acaa4b-0a09-4b27-9370-8f3454a57e79 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-a1acaa4b-0a09-4b27-9370-8f3454a57e79');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-8f06a45d-d91b-44ef-bca1-d8a150aea6ab\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-8f06a45d-d91b-44ef-bca1-d8a150aea6ab')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-8f06a45d-d91b-44ef-bca1-d8a150aea6ab button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"ns_book4\",\n  \"rows\": 2,\n  \"fields\": [\n    {\n      \"column\": \"\\ubc88\\ud638\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 2,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          2,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ub3c4\\uc11c\\uba85\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"\\uac00\\uc9dc \\ud589\\ubcf5 \\uad8c\\ud558\\ub294 \\uc0ac\\ud68c\",\n          \"\\uc778\\uacf5\\uc9c0\\ub2a5\\uacfc \\ud759\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\uc800\\uc790\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"\\uae40\\ud0dc\\ud615 \\uc9c0\\uc74c\",\n          \"\\uae40\\ub3d9\\ud6c8 \\uc9c0\\uc74c\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ucd9c\\ud310\\uc0ac\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"\\uac08\\ub9e4\\ub098\\ubb34\",\n          \"\\ubbfc\\uc74c\\uc0ac\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ubc1c\\ud589\\ub144\\ub3c4\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"21\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ISBN\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"9791190123969\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\uc138\\ud2b8 ISBN\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ubd80\\uac00\\uae30\\ud638\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"\\uc5c6\\uc74c\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\uad8c\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"\\uc5c6\\uc74c\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\uc8fc\\uc81c\\ubd84\\ub958\\ubc88\\ud638\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"\\uc5c6\\uc74c\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ub3c4\\uc11c\\uad8c\\uc218\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 1,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ub300\\ucd9c\\uac74\\uc218\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ub4f1\\ub85d\\uc77c\\uc790\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"2021-03-19\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 16
        }
      ],
      "source": [
        "ns_book4.replace([np.nan, '2021'], ['없음', '21']).head(2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "id": "45d0e5b3",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:34.615702Z",
          "iopub.status.busy": "2021-09-07T02:39:34.614658Z",
          "iopub.status.idle": "2021-09-07T02:39:35.120230Z",
          "shell.execute_reply": "2021-09-07T02:39:35.119471Z"
        },
        "id": "45d0e5b3",
        "outputId": "d1945c14-2484-4c36-ef9c-7e73925497b0"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   번호           도서명      저자   출판사 발행년도           ISBN 세트 ISBN 부가기호   권 주제분류번호  \\\n",
              "0   1       인공지능과 흙  김동훈 지음   민음사   21  9788937444319           없음  없음     없음   \n",
              "1   2  가짜 행복 권하는 사회  김태형 지음  갈매나무   21  9791190123969           없음  없음     없음   \n",
              "\n",
              "   도서권수  대출건수        등록일자  \n",
              "0     1     0  2021-03-19  \n",
              "1     1     0  2021-03-19  "
            ],
            "text/html": [
              "\n",
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>번호</th>\n",
              "      <th>도서명</th>\n",
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              "      <th>ISBN</th>\n",
              "      <th>세트 ISBN</th>\n",
              "      <th>부가기호</th>\n",
              "      <th>권</th>\n",
              "      <th>주제분류번호</th>\n",
              "      <th>도서권수</th>\n",
              "      <th>대출건수</th>\n",
              "      <th>등록일자</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
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              "      <td>2021-03-19</td>\n",
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              "    <tr>\n",
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              "      <td>2</td>\n",
              "      <td>가짜 행복 권하는 사회</td>\n",
              "      <td>김태형 지음</td>\n",
              "      <td>갈매나무</td>\n",
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              "      <td>9791190123969</td>\n",
              "      <td></td>\n",
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              "      <td>2021-03-19</td>\n",
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              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-2ea2ba3f-32ee-4100-9ab5-2fe0054eaa4d button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-2ea2ba3f-32ee-4100-9ab5-2fe0054eaa4d');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
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              "\n",
              "\n",
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              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-861caeb5-83f2-498d-ac89-df2e20175f8e button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"ns_book4\",\n  \"rows\": 2,\n  \"fields\": [\n    {\n      \"column\": \"\\ubc88\\ud638\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 2,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          2,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ub3c4\\uc11c\\uba85\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"\\uac00\\uc9dc \\ud589\\ubcf5 \\uad8c\\ud558\\ub294 \\uc0ac\\ud68c\",\n          \"\\uc778\\uacf5\\uc9c0\\ub2a5\\uacfc \\ud759\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\uc800\\uc790\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"\\uae40\\ud0dc\\ud615 \\uc9c0\\uc74c\",\n          \"\\uae40\\ub3d9\\ud6c8 \\uc9c0\\uc74c\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ucd9c\\ud310\\uc0ac\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"\\uac08\\ub9e4\\ub098\\ubb34\",\n          \"\\ubbfc\\uc74c\\uc0ac\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ubc1c\\ud589\\ub144\\ub3c4\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"21\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ISBN\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"9791190123969\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\uc138\\ud2b8 ISBN\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ubd80\\uac00\\uae30\\ud638\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"\\uc5c6\\uc74c\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\uad8c\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"\\uc5c6\\uc74c\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\uc8fc\\uc81c\\ubd84\\ub958\\ubc88\\ud638\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"\\uc5c6\\uc74c\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ub3c4\\uc11c\\uad8c\\uc218\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 1,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ub300\\ucd9c\\uac74\\uc218\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ub4f1\\ub85d\\uc77c\\uc790\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"2021-03-19\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 17
        }
      ],
      "source": [
        "ns_book4.replace({np.nan: '없음', '2021': '21'}).head(2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "id": "4f8e2bd3",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:35.125049Z",
          "iopub.status.busy": "2021-09-07T02:39:35.124664Z",
          "iopub.status.idle": "2021-09-07T02:39:35.170731Z",
          "shell.execute_reply": "2021-09-07T02:39:35.170374Z"
        },
        "id": "4f8e2bd3",
        "outputId": "ac6e289e-7d46-4c29-b945-87ac6a3688ef"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   번호           도서명      저자   출판사  발행년도           ISBN 세트 ISBN 부가기호    권  \\\n",
              "0   1       인공지능과 흙  김동훈 지음   민음사  2021  9788937444319           없음  NaN   \n",
              "1   2  가짜 행복 권하는 사회  김태형 지음  갈매나무  2021  9791190123969           없음  NaN   \n",
              "\n",
              "  주제분류번호  도서권수  대출건수        등록일자  \n",
              "0    NaN     1     0  2021-03-19  \n",
              "1    NaN     1     0  2021-03-19  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-ebd3b9ac-e5d8-48e8-baeb-40d1f58d6a6e\" class=\"colab-df-container\">\n",
              "    <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>번호</th>\n",
              "      <th>도서명</th>\n",
              "      <th>저자</th>\n",
              "      <th>출판사</th>\n",
              "      <th>발행년도</th>\n",
              "      <th>ISBN</th>\n",
              "      <th>세트 ISBN</th>\n",
              "      <th>부가기호</th>\n",
              "      <th>권</th>\n",
              "      <th>주제분류번호</th>\n",
              "      <th>도서권수</th>\n",
              "      <th>대출건수</th>\n",
              "      <th>등록일자</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>인공지능과 흙</td>\n",
              "      <td>김동훈 지음</td>\n",
              "      <td>민음사</td>\n",
              "      <td>2021</td>\n",
              "      <td>9788937444319</td>\n",
              "      <td></td>\n",
              "      <td>없음</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2021-03-19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>가짜 행복 권하는 사회</td>\n",
              "      <td>김태형 지음</td>\n",
              "      <td>갈매나무</td>\n",
              "      <td>2021</td>\n",
              "      <td>9791190123969</td>\n",
              "      <td></td>\n",
              "      <td>없음</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2021-03-19</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ebd3b9ac-e5d8-48e8-baeb-40d1f58d6a6e')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-ebd3b9ac-e5d8-48e8-baeb-40d1f58d6a6e button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-ebd3b9ac-e5d8-48e8-baeb-40d1f58d6a6e');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-2d4fac7b-16a0-46fb-9383-1b2d3bee6c04\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2d4fac7b-16a0-46fb-9383-1b2d3bee6c04')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-2d4fac7b-16a0-46fb-9383-1b2d3bee6c04 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "repr_error": "Out of range float values are not JSON compliant: nan"
            }
          },
          "metadata": {},
          "execution_count": 18
        }
      ],
      "source": [
        "ns_book4.replace({'부가기호': np.nan}, '없음').head(2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "id": "30add58b",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:35.175407Z",
          "iopub.status.busy": "2021-09-07T02:39:35.175028Z",
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              "   번호           도서명      저자   출판사 발행년도           ISBN 세트 ISBN 부가기호    권  \\\n",
              "0   1       인공지능과 흙  김동훈 지음   민음사   21  9788937444319           없음  NaN   \n",
              "1   2  가짜 행복 권하는 사회  김태형 지음  갈매나무   21  9791190123969           없음  NaN   \n",
              "\n",
              "  주제분류번호  도서권수  대출건수        등록일자  \n",
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              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-f3b1e935-3f7d-4ab5-a044-06f917137cd7');\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "\n",
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              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
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              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
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              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-19b6bf00-86b3-4485-8172-3f602081deb4 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
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              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "repr_error": "Out of range float values are not JSON compliant: nan"
            }
          },
          "metadata": {},
          "execution_count": 19
        }
      ],
      "source": [
        "ns_book4.replace({'부가기호': {np.nan: '없음'}, '발행년도': {'2021': '21'}}).head(2)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "b7aac5ad",
      "metadata": {
        "id": "b7aac5ad"
      },
      "source": [
        "## 정규 표현식"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "id": "f6651c66",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 164
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:35.269165Z",
          "iopub.status.busy": "2021-09-07T02:39:35.268783Z",
          "iopub.status.idle": "2021-09-07T02:39:35.338578Z",
          "shell.execute_reply": "2021-09-07T02:39:35.338210Z"
        },
        "id": "f6651c66",
        "outputId": "a14a0be0-d121-4a1a-861c-c10174dd9185"
      },
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "      번호                                        도서명  \\\n",
              "100  101                  No라고 말할 줄 아는 남편과 아내 - 개정판   \n",
              "101  102  D2C 레볼루션 - 스타트업부터 글로벌 기업까지, 마켓 체인저의 필수 전략   \n",
              "\n",
              "                                   저자   출판사  발행년도           ISBN 세트 ISBN 부가기호  \\\n",
              "100  헨리 클라우드, 존 타운센드 (지은이), 김진웅 (옮긴이)  좋은씨앗  2018  9788958743019          NaN   \n",
              "101        로런스 인그래시아 (지은이), 안기순 (옮긴이)    부키    21  9788960518483          NaN   \n",
              "\n",
              "       권 주제분류번호  도서권수  대출건수        등록일자  \n",
              "100  NaN  234.9     1     1  2021-03-15  \n",
              "101  NaN  325.1     1     0  2021-03-15  "
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              "      <td>로런스 인그래시아 (지은이), 안기순 (옮긴이)</td>\n",
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-ec551cac-84e9-4eea-bc26-37fee587091d button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-ec551cac-84e9-4eea-bc26-37fee587091d');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-f4f3328c-b954-4b05-a58f-4f79ffb871a9\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f4f3328c-b954-4b05-a58f-4f79ffb871a9')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-f4f3328c-b954-4b05-a58f-4f79ffb871a9 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "repr_error": "0"
            }
          },
          "metadata": {},
          "execution_count": 20
        }
      ],
      "source": [
        "ns_book4.replace({'발행년도': {'2021': '21'}})[100:102]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "id": "5bf67b76",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 164
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:35.343165Z",
          "iopub.status.busy": "2021-09-07T02:39:35.342792Z",
          "iopub.status.idle": "2021-09-07T02:39:36.968362Z",
          "shell.execute_reply": "2021-09-07T02:39:36.967493Z"
        },
        "id": "5bf67b76",
        "outputId": "9149bcf9-6df8-46b2-e6db-fb8ac5fbd731",
        "scrolled": false
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      번호                                        도서명  \\\n",
              "100  101                  No라고 말할 줄 아는 남편과 아내 - 개정판   \n",
              "101  102  D2C 레볼루션 - 스타트업부터 글로벌 기업까지, 마켓 체인저의 필수 전략   \n",
              "\n",
              "                                   저자   출판사 발행년도           ISBN 세트 ISBN 부가기호  \\\n",
              "100  헨리 클라우드, 존 타운센드 (지은이), 김진웅 (옮긴이)  좋은씨앗   18  9788958743019          NaN   \n",
              "101        로런스 인그래시아 (지은이), 안기순 (옮긴이)    부키   21  9788960518483          NaN   \n",
              "\n",
              "       권 주제분류번호  도서권수  대출건수        등록일자  \n",
              "100  NaN  234.9     1     1  2021-03-15  \n",
              "101  NaN  325.1     1     0  2021-03-15  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-485a3ce3-1cd7-425e-9c7d-f949f873bda7\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
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              "      <th></th>\n",
              "      <th>번호</th>\n",
              "      <th>도서명</th>\n",
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              "      <th>출판사</th>\n",
              "      <th>발행년도</th>\n",
              "      <th>ISBN</th>\n",
              "      <th>세트 ISBN</th>\n",
              "      <th>부가기호</th>\n",
              "      <th>권</th>\n",
              "      <th>주제분류번호</th>\n",
              "      <th>도서권수</th>\n",
              "      <th>대출건수</th>\n",
              "      <th>등록일자</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>100</th>\n",
              "      <td>101</td>\n",
              "      <td>No라고 말할 줄 아는 남편과 아내 - 개정판</td>\n",
              "      <td>헨리 클라우드, 존 타운센드 (지은이), 김진웅 (옮긴이)</td>\n",
              "      <td>좋은씨앗</td>\n",
              "      <td>18</td>\n",
              "      <td>9788958743019</td>\n",
              "      <td></td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>234.9</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2021-03-15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>101</th>\n",
              "      <td>102</td>\n",
              "      <td>D2C 레볼루션 - 스타트업부터 글로벌 기업까지, 마켓 체인저의 필수 전략</td>\n",
              "      <td>로런스 인그래시아 (지은이), 안기순 (옮긴이)</td>\n",
              "      <td>부키</td>\n",
              "      <td>21</td>\n",
              "      <td>9788960518483</td>\n",
              "      <td></td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>325.1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2021-03-15</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-485a3ce3-1cd7-425e-9c7d-f949f873bda7')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-485a3ce3-1cd7-425e-9c7d-f949f873bda7 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-485a3ce3-1cd7-425e-9c7d-f949f873bda7');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-3fd94d6e-7d1a-4e90-9fc2-424b384991b3\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-3fd94d6e-7d1a-4e90-9fc2-424b384991b3')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-3fd94d6e-7d1a-4e90-9fc2-424b384991b3 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
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              "      번호                                        도서명  \\\n",
              "100  101                  No라고 말할 줄 아는 남편과 아내 - 개정판   \n",
              "101  102  D2C 레볼루션 - 스타트업부터 글로벌 기업까지, 마켓 체인저의 필수 전략   \n",
              "\n",
              "                                   저자   출판사 발행년도           ISBN 세트 ISBN 부가기호  \\\n",
              "100  헨리 클라우드, 존 타운센드 (지은이), 김진웅 (옮긴이)  좋은씨앗   18  9788958743019          NaN   \n",
              "101        로런스 인그래시아 (지은이), 안기순 (옮긴이)    부키   21  9788960518483          NaN   \n",
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              "       권 주제분류번호  도서권수  대출건수        등록일자  \n",
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              "      번호                                        도서명                    저자  \\\n",
              "100  101                  No라고 말할 줄 아는 남편과 아내 - 개정판  헨리 클라우드, 존 타운센드, 김진웅   \n",
              "101  102  D2C 레볼루션 - 스타트업부터 글로벌 기업까지, 마켓 체인저의 필수 전략        로런스 인그래시아, 안기순   \n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-d51dad61-c781-4ada-ab5c-e74c2730c748 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-d51dad61-c781-4ada-ab5c-e74c2730c748');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-3845acde-e684-4b91-ab84-b563950884da\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-3845acde-e684-4b91-ab84-b563950884da')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-3845acde-e684-4b91-ab84-b563950884da button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "repr_error": "0"
            }
          },
          "metadata": {},
          "execution_count": 23
        }
      ],
      "source": [
        "ns_book4.replace({'저자': {r'(.*)\\s\\(지은이\\)(.*)\\s\\(옮긴이\\)': r'\\1\\2'},\n",
        "                  '발행년도': {r'\\d{2}(\\d{2})': r'\\1'}}, regex=True)[100:102]"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "c74ef5e6",
      "metadata": {
        "id": "c74ef5e6"
      },
      "source": [
        "## 잘못된 값 바꾸기"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "id": "970a94e5",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:41.484107Z",
          "iopub.status.busy": "2021-09-07T02:39:41.483149Z",
          "iopub.status.idle": "2021-09-07T02:39:41.485302Z",
          "shell.execute_reply": "2021-09-07T02:39:41.486078Z"
        },
        "id": "970a94e5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 317
        },
        "outputId": "73675ec9-ba5d-4663-d1f0-49ae08246cb0"
      },
      "outputs": [
        {
          "output_type": "error",
          "ename": "ValueError",
          "evalue": "invalid literal for int() with base 10: '1988.': Error while type casting for column '발행년도'",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-24-e19a530b7b3b>\u001b[0m in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# 아래 코드는 오류 발생\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mns_book4\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m'발행년도'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'int64'\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36mastype\u001b[0;34m(self, dtype, copy, errors)\u001b[0m\n\u001b[1;32m   6618\u001b[0m                 \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   6619\u001b[0m                     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 6620\u001b[0;31m                         \u001b[0mres_col\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcol\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcdt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   6621\u001b[0m                     \u001b[0;32mexcept\u001b[0m \u001b[0mValueError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mex\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   6622\u001b[0m                         ex.args = (\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36mastype\u001b[0;34m(self, dtype, copy, errors)\u001b[0m\n\u001b[1;32m   6641\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   6642\u001b[0m             \u001b[0;31m# else, only a single dtype is given\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 6643\u001b[0;31m             \u001b[0mnew_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_mgr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   6644\u001b[0m             \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_constructor_from_mgr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnew_data\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxes\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnew_data\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   6645\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mres\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__finalize__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"astype\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/core/internals/managers.py\u001b[0m in \u001b[0;36mastype\u001b[0;34m(self, dtype, copy, errors)\u001b[0m\n\u001b[1;32m    428\u001b[0m             \u001b[0mcopy\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    429\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 430\u001b[0;31m         return self.apply(\n\u001b[0m\u001b[1;32m    431\u001b[0m             \u001b[0;34m\"astype\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    432\u001b[0m             \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/core/internals/managers.py\u001b[0m in \u001b[0;36mapply\u001b[0;34m(self, f, align_keys, **kwargs)\u001b[0m\n\u001b[1;32m    361\u001b[0m                 \u001b[0mapplied\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    362\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 363\u001b[0;31m                 \u001b[0mapplied\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    364\u001b[0m             \u001b[0mresult_blocks\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mextend_blocks\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mapplied\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult_blocks\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    365\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/core/internals/blocks.py\u001b[0m in \u001b[0;36mastype\u001b[0;34m(self, dtype, copy, errors, using_cow, squeeze)\u001b[0m\n\u001b[1;32m    756\u001b[0m             \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m  \u001b[0;31m# type: ignore[call-overload]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    757\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 758\u001b[0;31m         \u001b[0mnew_values\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mastype_array_safe\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    759\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    760\u001b[0m         \u001b[0mnew_values\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmaybe_coerce_values\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnew_values\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/core/dtypes/astype.py\u001b[0m in \u001b[0;36mastype_array_safe\u001b[0;34m(values, dtype, copy, errors)\u001b[0m\n\u001b[1;32m    235\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    236\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 237\u001b[0;31m         \u001b[0mnew_values\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mastype_array\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    238\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mValueError\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    239\u001b[0m         \u001b[0;31m# e.g. _astype_nansafe can fail on object-dtype of strings\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/core/dtypes/astype.py\u001b[0m in \u001b[0;36mastype_array\u001b[0;34m(values, dtype, copy)\u001b[0m\n\u001b[1;32m    180\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    181\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 182\u001b[0;31m         \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_astype_nansafe\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    183\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    184\u001b[0m     \u001b[0;31m# in pandas we don't store numpy str dtypes, so convert to object\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/core/dtypes/astype.py\u001b[0m in \u001b[0;36m_astype_nansafe\u001b[0;34m(arr, dtype, copy, skipna)\u001b[0m\n\u001b[1;32m    131\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mcopy\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0marr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdtype\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mobject\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mdtype\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    132\u001b[0m         \u001b[0;31m# Explicit copy, or required since NumPy can't view from / to object.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 133\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0marr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    134\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    135\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0marr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mValueError\u001b[0m: invalid literal for int() with base 10: '1988.': Error while type casting for column '발행년도'"
          ]
        }
      ],
      "source": [
        "# 아래 코드는 오류 발생\n",
        "ns_book4.astype({'발행년도': 'int64'})"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "id": "6b04c810",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:41.505513Z",
          "iopub.status.busy": "2021-09-07T02:39:41.504665Z",
          "iopub.status.idle": "2021-09-07T02:39:41.662592Z",
          "shell.execute_reply": "2021-09-07T02:39:41.661806Z"
        },
        "id": "6b04c810",
        "outputId": "eb062bb7-2401-438f-a000-0ff26665426e"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "407"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ],
      "source": [
        "ns_book4['발행년도'].str.contains('1988').sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "id": "3fde1e07",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 328
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:41.680596Z",
          "iopub.status.busy": "2021-09-07T02:39:41.679942Z",
          "iopub.status.idle": "2021-09-07T02:39:41.833155Z",
          "shell.execute_reply": "2021-09-07T02:39:41.833854Z"
        },
        "id": "3fde1e07",
        "outputId": "504dbf00-92b4-4b53-90a3-213d344d195e"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1777\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          번호                       도서명  \\\n",
              "19138  19565                      단국강토   \n",
              "19227  19736                    삼성의 역사   \n",
              "26097  26812                  배고픈 애벌레    \n",
              "29817  30586  (The) Sopranos sessions    \n",
              "29940  30709                    다음엔 너야   \n",
              "\n",
              "                                                      저자                 출판사  \\\n",
              "19138                                              홍태수 저             매일경제신문사   \n",
              "19227                                              송부웅 撰                  삼양   \n",
              "26097                                  에릭 칼 글·그림 ;이희재 옮김               더큰컴퍼니   \n",
              "29817  Matt Zoller Seitz,$eAlan Sepinwall,$eLaura Lip...  Harry N Abrams Inc   \n",
              "29940                         에른스트 얀들 글;노르만 융에 그림;박상순 옮김                 비룡소   \n",
              "\n",
              "               발행년도           ISBN        세트 ISBN 부가기호    권  주제분류번호  도서권수  \\\n",
              "19138         1988.  9788974420031                 NaN  NaN   511.1     1   \n",
              "19227  단기4334[2001]  9788985464369                   0  NaN  911.02     1   \n",
              "26097        [2019]  9788959514083                 NaN  NaN     843     1   \n",
              "29817         2019.  9781419734946                 NaN  NaN  326.76     1   \n",
              "29940         2018.  9788949110646  9788949110004    7  NaN     853     1   \n",
              "\n",
              "       대출건수        등록일자  \n",
              "19138     1  2019-12-19  \n",
              "19227     1  2019-12-06  \n",
              "26097     0  2019-08-12  \n",
              "29817     0  2019-06-13  \n",
              "29940     9  2019-06-04  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-c6cd96c2-1e81-4fcf-867d-e36c9f4a87a8\" class=\"colab-df-container\">\n",
              "    <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>번호</th>\n",
              "      <th>도서명</th>\n",
              "      <th>저자</th>\n",
              "      <th>출판사</th>\n",
              "      <th>발행년도</th>\n",
              "      <th>ISBN</th>\n",
              "      <th>세트 ISBN</th>\n",
              "      <th>부가기호</th>\n",
              "      <th>권</th>\n",
              "      <th>주제분류번호</th>\n",
              "      <th>도서권수</th>\n",
              "      <th>대출건수</th>\n",
              "      <th>등록일자</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>19138</th>\n",
              "      <td>19565</td>\n",
              "      <td>단국강토</td>\n",
              "      <td>홍태수 저</td>\n",
              "      <td>매일경제신문사</td>\n",
              "      <td>1988.</td>\n",
              "      <td>9788974420031</td>\n",
              "      <td></td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>511.1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2019-12-19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19227</th>\n",
              "      <td>19736</td>\n",
              "      <td>삼성의 역사</td>\n",
              "      <td>송부웅 撰</td>\n",
              "      <td>삼양</td>\n",
              "      <td>단기4334[2001]</td>\n",
              "      <td>9788985464369</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>911.02</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2019-12-06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26097</th>\n",
              "      <td>26812</td>\n",
              "      <td>배고픈 애벌레</td>\n",
              "      <td>에릭 칼 글·그림 ;이희재 옮김</td>\n",
              "      <td>더큰컴퍼니</td>\n",
              "      <td>[2019]</td>\n",
              "      <td>9788959514083</td>\n",
              "      <td></td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>843</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2019-08-12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29817</th>\n",
              "      <td>30586</td>\n",
              "      <td>(The) Sopranos sessions</td>\n",
              "      <td>Matt Zoller Seitz,$eAlan Sepinwall,$eLaura Lip...</td>\n",
              "      <td>Harry N Abrams Inc</td>\n",
              "      <td>2019.</td>\n",
              "      <td>9781419734946</td>\n",
              "      <td></td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>326.76</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2019-06-13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29940</th>\n",
              "      <td>30709</td>\n",
              "      <td>다음엔 너야</td>\n",
              "      <td>에른스트 얀들 글;노르만 융에 그림;박상순 옮김</td>\n",
              "      <td>비룡소</td>\n",
              "      <td>2018.</td>\n",
              "      <td>9788949110646</td>\n",
              "      <td>9788949110004</td>\n",
              "      <td>7</td>\n",
              "      <td>NaN</td>\n",
              "      <td>853</td>\n",
              "      <td>1</td>\n",
              "      <td>9</td>\n",
              "      <td>2019-06-04</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c6cd96c2-1e81-4fcf-867d-e36c9f4a87a8')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-c6cd96c2-1e81-4fcf-867d-e36c9f4a87a8 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-c6cd96c2-1e81-4fcf-867d-e36c9f4a87a8');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-69f24537-f78b-4ccf-a178-24f445fa560c\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-69f24537-f78b-4ccf-a178-24f445fa560c')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-69f24537-f78b-4ccf-a178-24f445fa560c button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "repr_error": "0"
            }
          },
          "metadata": {},
          "execution_count": 26
        }
      ],
      "source": [
        "invalid_number = ns_book4['발행년도'].str.contains('\\D', na=True)\n",
        "print(invalid_number.sum())\n",
        "ns_book4[invalid_number].head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "id": "ced0818b",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 310
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:41.839594Z",
          "iopub.status.busy": "2021-09-07T02:39:41.838637Z",
          "iopub.status.idle": "2021-09-07T02:39:43.083960Z",
          "shell.execute_reply": "2021-09-07T02:39:43.084684Z"
        },
        "id": "ced0818b",
        "outputId": "d7039cae-8bf0-466a-be3d-930dc50097cf",
        "scrolled": false
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          번호                       도서명  \\\n",
              "19138  19565                      단국강토   \n",
              "19227  19736                    삼성의 역사   \n",
              "26097  26812                  배고픈 애벌레    \n",
              "29817  30586  (The) Sopranos sessions    \n",
              "29940  30709                    다음엔 너야   \n",
              "\n",
              "                                                      저자                 출판사  \\\n",
              "19138                                              홍태수 저             매일경제신문사   \n",
              "19227                                              송부웅 撰                  삼양   \n",
              "26097                                  에릭 칼 글·그림 ;이희재 옮김               더큰컴퍼니   \n",
              "29817  Matt Zoller Seitz,$eAlan Sepinwall,$eLaura Lip...  Harry N Abrams Inc   \n",
              "29940                         에른스트 얀들 글;노르만 융에 그림;박상순 옮김                 비룡소   \n",
              "\n",
              "       발행년도           ISBN        세트 ISBN 부가기호    권  주제분류번호  도서권수  대출건수  \\\n",
              "19138  1988  9788974420031                 NaN  NaN   511.1     1     1   \n",
              "19227  2001  9788985464369                   0  NaN  911.02     1     1   \n",
              "26097  2019  9788959514083                 NaN  NaN     843     1     0   \n",
              "29817  2019  9781419734946                 NaN  NaN  326.76     1     0   \n",
              "29940  2018  9788949110646  9788949110004    7  NaN     853     1     9   \n",
              "\n",
              "             등록일자  \n",
              "19138  2019-12-19  \n",
              "19227  2019-12-06  \n",
              "26097  2019-08-12  \n",
              "29817  2019-06-13  \n",
              "29940  2019-06-04  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-6625edc6-55e8-4e3f-8e0c-69db0bc99f18\" class=\"colab-df-container\">\n",
              "    <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>번호</th>\n",
              "      <th>도서명</th>\n",
              "      <th>저자</th>\n",
              "      <th>출판사</th>\n",
              "      <th>발행년도</th>\n",
              "      <th>ISBN</th>\n",
              "      <th>세트 ISBN</th>\n",
              "      <th>부가기호</th>\n",
              "      <th>권</th>\n",
              "      <th>주제분류번호</th>\n",
              "      <th>도서권수</th>\n",
              "      <th>대출건수</th>\n",
              "      <th>등록일자</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>19138</th>\n",
              "      <td>19565</td>\n",
              "      <td>단국강토</td>\n",
              "      <td>홍태수 저</td>\n",
              "      <td>매일경제신문사</td>\n",
              "      <td>1988</td>\n",
              "      <td>9788974420031</td>\n",
              "      <td></td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>511.1</td>\n",
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              "    <tr>\n",
              "      <th>19227</th>\n",
              "      <td>19736</td>\n",
              "      <td>삼성의 역사</td>\n",
              "      <td>송부웅 撰</td>\n",
              "      <td>삼양</td>\n",
              "      <td>2001</td>\n",
              "      <td>9788985464369</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>911.02</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2019-12-06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26097</th>\n",
              "      <td>26812</td>\n",
              "      <td>배고픈 애벌레</td>\n",
              "      <td>에릭 칼 글·그림 ;이희재 옮김</td>\n",
              "      <td>더큰컴퍼니</td>\n",
              "      <td>2019</td>\n",
              "      <td>9788959514083</td>\n",
              "      <td></td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>843</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2019-08-12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29817</th>\n",
              "      <td>30586</td>\n",
              "      <td>(The) Sopranos sessions</td>\n",
              "      <td>Matt Zoller Seitz,$eAlan Sepinwall,$eLaura Lip...</td>\n",
              "      <td>Harry N Abrams Inc</td>\n",
              "      <td>2019</td>\n",
              "      <td>9781419734946</td>\n",
              "      <td></td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>326.76</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2019-06-13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29940</th>\n",
              "      <td>30709</td>\n",
              "      <td>다음엔 너야</td>\n",
              "      <td>에른스트 얀들 글;노르만 융에 그림;박상순 옮김</td>\n",
              "      <td>비룡소</td>\n",
              "      <td>2018</td>\n",
              "      <td>9788949110646</td>\n",
              "      <td>9788949110004</td>\n",
              "      <td>7</td>\n",
              "      <td>NaN</td>\n",
              "      <td>853</td>\n",
              "      <td>1</td>\n",
              "      <td>9</td>\n",
              "      <td>2019-06-04</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6625edc6-55e8-4e3f-8e0c-69db0bc99f18')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-6625edc6-55e8-4e3f-8e0c-69db0bc99f18 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-6625edc6-55e8-4e3f-8e0c-69db0bc99f18');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-666c9bed-ea74-4b1a-9a0e-e507b4ebcd20\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-666c9bed-ea74-4b1a-9a0e-e507b4ebcd20')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-666c9bed-ea74-4b1a-9a0e-e507b4ebcd20 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "repr_error": "0"
            }
          },
          "metadata": {},
          "execution_count": 27
        }
      ],
      "source": [
        "ns_book5 = ns_book4.replace({'발행년도':r'.*(\\d{4}).*'}, r'\\1', regex=True)\n",
        "ns_book5[invalid_number].head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "id": "bb4e7690",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 311
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:43.107376Z",
          "iopub.status.busy": "2021-09-07T02:39:43.106530Z",
          "iopub.status.idle": "2021-09-07T02:39:43.250038Z",
          "shell.execute_reply": "2021-09-07T02:39:43.250771Z"
        },
        "id": "bb4e7690",
        "outputId": "ca8206cf-de1e-4f69-a5e8-a4c806049b90",
        "scrolled": true
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "67\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            번호                도서명        저자      출판사     발행년도           ISBN  \\\n",
              "30838    31616       본격 한중일 세계사 5  굽시니스트 지음   위즈덤하우스      NaN  9791190065092   \n",
              "39130    40141     정책금융의 현황과 발전과제   정책금융연구회   한국산업은행      NaN  9788992784108   \n",
              "39256    40268  서울지역 유적 발굴조사 총서 3   서울역사박물관  서울역사박물관      NaN  9791186324714   \n",
              "76836    81202            흰머리 큰줄기    한호진 지음    秀文出版社  [발행년불명]  9788973010769   \n",
              "150543  160436          (속) 경제학사     박장환 지음      NaN   [20--]  9788994339207   \n",
              "\n",
              "              세트 ISBN 부가기호    권 주제분류번호  도서권수  대출건수        등록일자  \n",
              "30838                  NaN  NaN    NaN     0     0  2019-05-28  \n",
              "39130                  NaN  NaN  327.1     1     0  2019-01-22  \n",
              "39256   9791186324431  NaN  NaN    NaN     0     0  2019-01-22  \n",
              "76836                    0  NaN  699.1     1     1  2016-11-10  \n",
              "150543                   1  NaN  320.9     1     2  2012-11-19  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-882cda9d-01a6-4d1b-8c8b-f2a40a93393a\" class=\"colab-df-container\">\n",
              "    <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>번호</th>\n",
              "      <th>도서명</th>\n",
              "      <th>저자</th>\n",
              "      <th>출판사</th>\n",
              "      <th>발행년도</th>\n",
              "      <th>ISBN</th>\n",
              "      <th>세트 ISBN</th>\n",
              "      <th>부가기호</th>\n",
              "      <th>권</th>\n",
              "      <th>주제분류번호</th>\n",
              "      <th>도서권수</th>\n",
              "      <th>대출건수</th>\n",
              "      <th>등록일자</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>30838</th>\n",
              "      <td>31616</td>\n",
              "      <td>본격 한중일 세계사 5</td>\n",
              "      <td>굽시니스트 지음</td>\n",
              "      <td>위즈덤하우스</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9791190065092</td>\n",
              "      <td></td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2019-05-28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39130</th>\n",
              "      <td>40141</td>\n",
              "      <td>정책금융의 현황과 발전과제</td>\n",
              "      <td>정책금융연구회</td>\n",
              "      <td>한국산업은행</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9788992784108</td>\n",
              "      <td></td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>327.1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2019-01-22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39256</th>\n",
              "      <td>40268</td>\n",
              "      <td>서울지역 유적 발굴조사 총서 3</td>\n",
              "      <td>서울역사박물관</td>\n",
              "      <td>서울역사박물관</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9791186324714</td>\n",
              "      <td>9791186324431</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2019-01-22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>76836</th>\n",
              "      <td>81202</td>\n",
              "      <td>흰머리 큰줄기</td>\n",
              "      <td>한호진 지음</td>\n",
              "      <td>秀文出版社</td>\n",
              "      <td>[발행년불명]</td>\n",
              "      <td>9788973010769</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>699.1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2016-11-10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>150543</th>\n",
              "      <td>160436</td>\n",
              "      <td>(속) 경제학사</td>\n",
              "      <td>박장환 지음</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[20--]</td>\n",
              "      <td>9788994339207</td>\n",
              "      <td></td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>320.9</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2012-11-19</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-882cda9d-01a6-4d1b-8c8b-f2a40a93393a')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-882cda9d-01a6-4d1b-8c8b-f2a40a93393a button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-882cda9d-01a6-4d1b-8c8b-f2a40a93393a');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-d1d66843-cd1d-48ed-840a-e110a516578a\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-d1d66843-cd1d-48ed-840a-e110a516578a')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-d1d66843-cd1d-48ed-840a-e110a516578a button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "repr_error": "0"
            }
          },
          "metadata": {},
          "execution_count": 28
        }
      ],
      "source": [
        "unkown_year = ns_book5['발행년도'].str.contains('\\D', na=True)\n",
        "print(unkown_year.sum())\n",
        "ns_book5[unkown_year].head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "id": "f306fb99",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:43.256263Z",
          "iopub.status.busy": "2021-09-07T02:39:43.255421Z",
          "iopub.status.idle": "2021-09-07T02:39:43.367588Z",
          "shell.execute_reply": "2021-09-07T02:39:43.368321Z"
        },
        "id": "f306fb99"
      },
      "outputs": [],
      "source": [
        "ns_book5.loc[unkown_year, '발행년도'] = '-1'\n",
        "ns_book5 = ns_book5.astype({'발행년도': 'int64'})"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "id": "5ea544b8",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:43.373112Z",
          "iopub.status.busy": "2021-09-07T02:39:43.372279Z",
          "iopub.status.idle": "2021-09-07T02:39:43.382083Z",
          "shell.execute_reply": "2021-09-07T02:39:43.382924Z"
        },
        "id": "5ea544b8",
        "outputId": "516cf52b-e8f0-473c-9eac-21ad3b04075a"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "131"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ],
      "source": [
        "ns_book5['발행년도'].gt(4000).sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "id": "3d2d793f",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:43.388665Z",
          "iopub.status.busy": "2021-09-07T02:39:43.388012Z",
          "iopub.status.idle": "2021-09-07T02:39:43.393686Z",
          "shell.execute_reply": "2021-09-07T02:39:43.394520Z"
        },
        "id": "3d2d793f"
      },
      "outputs": [],
      "source": [
        "dangun_yy_rows = ns_book5['발행년도'].gt(4000)\n",
        "ns_book5.loc[dangun_yy_rows, '발행년도'] = ns_book5.loc[dangun_yy_rows, '발행년도'] - 2333"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "id": "7873b9da",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 182
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:43.399474Z",
          "iopub.status.busy": "2021-09-07T02:39:43.398671Z",
          "iopub.status.idle": "2021-09-07T02:39:43.413161Z",
          "shell.execute_reply": "2021-09-07T02:39:43.413845Z"
        },
        "id": "7873b9da",
        "outputId": "664adb1c-a8c8-415f-9ebc-7f340c4e0b5a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "13\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            번호                                         도서명               저자  \\\n",
              "222858  234268                                  Modern art  [computer file]   \n",
              "270269  282852  현대 영어학=Linguistic theory in modern english              이재영   \n",
              "\n",
              "            출판사  발행년도           ISBN 세트 ISBN 부가기호    권   주제분류번호  도서권수  대출건수  \\\n",
              "222858  GROLIER  7611  9780717233243          NaN  NaN  609.205     1     1   \n",
              "270269     열림기획  7634  9788986705072            1  NaN    740.1     1     6   \n",
              "\n",
              "              등록일자  \n",
              "222858  2009-05-07  \n",
              "270269  2007-04-14  "
            ],
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              "      <th>222858</th>\n",
              "      <td>234268</td>\n",
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              "      <th>270269</th>\n",
              "      <td>282852</td>\n",
              "      <td>현대 영어학=Linguistic theory in modern english</td>\n",
              "      <td>이재영</td>\n",
              "      <td>열림기획</td>\n",
              "      <td>7634</td>\n",
              "      <td>9788986705072</td>\n",
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              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-83b21f72-919d-457f-a8a5-11126c1e9b88 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-83b21f72-919d-457f-a8a5-11126c1e9b88');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-8ae55f95-9223-4530-a54b-58c4fb35f12e\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-8ae55f95-9223-4530-a54b-58c4fb35f12e')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-8ae55f95-9223-4530-a54b-58c4fb35f12e button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "repr_error": "0"
            }
          },
          "metadata": {},
          "execution_count": 32
        }
      ],
      "source": [
        "dangun_year = ns_book5['발행년도'].gt(4000)\n",
        "print(dangun_year.sum())\n",
        "ns_book5[dangun_year].head(2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "id": "b6f8b2a4",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:43.417223Z",
          "iopub.status.busy": "2021-09-07T02:39:43.416588Z",
          "iopub.status.idle": "2021-09-07T02:39:43.420025Z",
          "shell.execute_reply": "2021-09-07T02:39:43.420836Z"
        },
        "id": "b6f8b2a4"
      },
      "outputs": [],
      "source": [
        "ns_book5.loc[dangun_year, '발행년도'] = -1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "id": "51993967",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:43.425487Z",
          "iopub.status.busy": "2021-09-07T02:39:43.424792Z",
          "iopub.status.idle": "2021-09-07T02:39:43.443321Z",
          "shell.execute_reply": "2021-09-07T02:39:43.444017Z"
        },
        "id": "51993967",
        "outputId": "7a6815d2-c4a3-4dbd-c1f8-bc0f458ec6e6",
        "scrolled": true
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            번호                                           도서명  \\\n",
              "61149    64093         고흐 씨, 시 읽어 줄까요 :내 마음을 알아주는 시와 그림의 만남    \n",
              "70566    74347                                  정신 병리학의 문제들    \n",
              "79550    84164  (최근 7년간) 중요 민법판례 :[2009년 1월~2016년 6월 중요 판례]    \n",
              "147950  157759              (한·중·일) 밥상 문화 :대표음식으로 본 3국 문화비교    \n",
              "194576  205407                                책으로 뒤덮인 집의 비밀    \n",
              "287252  300283                                     (밝혀질)우리歷史   \n",
              "\n",
              "                                   저자      출판사  발행년도           ISBN  \\\n",
              "61149                          이운진 지음      사계절   176  9788958284277   \n",
              "70566        지은이: 지그문트 프로이트 ;옮긴이: 황보석     열린책들   151  9788932905181   \n",
              "79550                          이광섭 편저      법학사   163  9788962898651   \n",
              "147950                         김경은 지음      이가서   132  9788958643012   \n",
              "194576  N.E. 보드 지음 ;피터 퍼거슨 그림 ;김지현 옮김     개암나무  1015  9788992844413   \n",
              "287252                          吳在城 著  黎民族史硏究會  1607  9788986892130   \n",
              "\n",
              "              세트 ISBN 부가기호    권  주제분류번호  도서권수  대출건수        등록일자  \n",
              "61149                    0  NaN   811.7     1     6  2017-10-27  \n",
              "70566   9788932905082    9   10   185.5     1     4  2017-04-26  \n",
              "79550                    9  NaN     365     1    14  2016-09-27  \n",
              "147950                   0  NaN  381.75     1    30  2013-02-19  \n",
              "194576                   7  NaN     843     1    15  2010-08-18  \n",
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              "      <th>등록일자</th>\n",
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              "    <tr>\n",
              "      <th>61149</th>\n",
              "      <td>64093</td>\n",
              "      <td>고흐 씨, 시 읽어 줄까요 :내 마음을 알아주는 시와 그림의 만남</td>\n",
              "      <td>이운진 지음</td>\n",
              "      <td>사계절</td>\n",
              "      <td>176</td>\n",
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              "      <td>지은이: 지그문트 프로이트 ;옮긴이: 황보석</td>\n",
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              "      <td>151</td>\n",
              "      <td>9788932905181</td>\n",
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              "      <td>10</td>\n",
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              "      <td>1</td>\n",
              "      <td>4</td>\n",
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              "      <th>79550</th>\n",
              "      <td>84164</td>\n",
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              "      <td>이광섭 편저</td>\n",
              "      <td>법학사</td>\n",
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              "      <th>147950</th>\n",
              "      <td>157759</td>\n",
              "      <td>(한·중·일) 밥상 문화 :대표음식으로 본 3국 문화비교</td>\n",
              "      <td>김경은 지음</td>\n",
              "      <td>이가서</td>\n",
              "      <td>132</td>\n",
              "      <td>9788958643012</td>\n",
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              "      <th>194576</th>\n",
              "      <td>205407</td>\n",
              "      <td>책으로 뒤덮인 집의 비밀</td>\n",
              "      <td>N.E. 보드 지음 ;피터 퍼거슨 그림 ;김지현 옮김</td>\n",
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              "      <th>287252</th>\n",
              "      <td>300283</td>\n",
              "      <td>(밝혀질)우리歷史</td>\n",
              "      <td>吳在城 著</td>\n",
              "      <td>黎民族史硏究會</td>\n",
              "      <td>1607</td>\n",
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              "\n",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
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              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "    60% {\n",
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              "      border-right-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
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              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-e87ecd8c-7f5c-4a6e-b002-f6c763952d4f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "\n",
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              "type": "dataframe",
              "repr_error": "0"
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          },
          "metadata": {},
          "execution_count": 34
        }
      ],
      "source": [
        "old_books = ns_book5['발행년도'].gt(0) & ns_book5['발행년도'].lt(1900)\n",
        "ns_book5[old_books]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "id": "b47ed853",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:43.448230Z",
          "iopub.status.busy": "2021-09-07T02:39:43.447421Z",
          "iopub.status.idle": "2021-09-07T02:39:43.450117Z",
          "shell.execute_reply": "2021-09-07T02:39:43.450934Z"
        },
        "id": "b47ed853"
      },
      "outputs": [],
      "source": [
        "ns_book5.loc[old_books, '발행년도'] = -1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "id": "0b4bb3bd",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:43.455585Z",
          "iopub.status.busy": "2021-09-07T02:39:43.454951Z",
          "iopub.status.idle": "2021-09-07T02:39:43.460030Z",
          "shell.execute_reply": "2021-09-07T02:39:43.459411Z"
        },
        "id": "0b4bb3bd",
        "outputId": "fde7daae-b604-4238-86ef-212adbcbcd0d"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "86"
            ]
          },
          "metadata": {},
          "execution_count": 36
        }
      ],
      "source": [
        "ns_book5['발행년도'].eq(-1).sum()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "d4d933df",
      "metadata": {
        "id": "d4d933df"
      },
      "source": [
        "## 누락된 정보 채우기"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "id": "6341cc31",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 130
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:43.499156Z",
          "iopub.status.busy": "2021-09-07T02:39:43.498002Z",
          "iopub.status.idle": "2021-09-07T02:39:43.527267Z",
          "shell.execute_reply": "2021-09-07T02:39:43.526533Z"
        },
        "id": "6341cc31",
        "outputId": "9b2a9b69-b147-4ece-c5bc-04cf2149b62e"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "5268\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      번호          도서명          저자  출판사  발행년도           ISBN 세트 ISBN 부가기호    권  \\\n",
              "78    79   아산 정주영 레거시         김화진  NaN  2021  9788952129529          NaN  NaN   \n",
              "265  278  골목의 시간을 그리다  정명섭.김효찬 지음  NaN  2021  9791191266054          NaN  NaN   \n",
              "\n",
              "    주제분류번호  도서권수  대출건수        등록일자  \n",
              "78     325     1     1  2021-03-15  \n",
              "265    NaN     1     0  2021-03-12  "
            ],
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              "      <th>78</th>\n",
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              "      <td>325</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2021-03-15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>265</th>\n",
              "      <td>278</td>\n",
              "      <td>골목의 시간을 그리다</td>\n",
              "      <td>정명섭.김효찬 지음</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2021</td>\n",
              "      <td>9791191266054</td>\n",
              "      <td></td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2021-03-12</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-273cfa19-2570-4aa7-9971-40355783da97')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-273cfa19-2570-4aa7-9971-40355783da97 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-273cfa19-2570-4aa7-9971-40355783da97');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-11c5a05a-eaa4-422e-bc77-e1d7a6537fb6\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-11c5a05a-eaa4-422e-bc77-e1d7a6537fb6')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
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              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-11c5a05a-eaa4-422e-bc77-e1d7a6537fb6 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "repr_error": "0"
            }
          },
          "metadata": {},
          "execution_count": 37
        }
      ],
      "source": [
        "na_rows = ns_book5['도서명'].isna() | ns_book5['저자'].isna() \\\n",
        "          | ns_book5['출판사'].isna() | ns_book5['발행년도'].eq(-1)\n",
        "print(na_rows.sum())\n",
        "ns_book5[na_rows].head(2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "id": "94b98793",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:43.532071Z",
          "iopub.status.busy": "2021-09-07T02:39:43.531263Z",
          "iopub.status.idle": "2021-09-07T02:39:43.553803Z",
          "shell.execute_reply": "2021-09-07T02:39:43.554125Z"
        },
        "id": "94b98793"
      },
      "outputs": [],
      "source": [
        "import requests\n",
        "from bs4 import BeautifulSoup"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "id": "8c8391a0",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:43.557517Z",
          "iopub.status.busy": "2021-09-07T02:39:43.556941Z",
          "iopub.status.idle": "2021-09-07T02:39:43.559507Z",
          "shell.execute_reply": "2021-09-07T02:39:43.558905Z"
        },
        "id": "8c8391a0"
      },
      "outputs": [],
      "source": [
        "def get_book_title(isbn):\n",
        "    # Yes24 도서 검색 페이지 URL\n",
        "    url = 'http://www.yes24.com/Product/Search?domain=BOOK&query={}'\n",
        "    # URL에 ISBN을 넣어 HTML 가져옵니다.\n",
        "    r = requests.get(url.format(isbn))\n",
        "    soup = BeautifulSoup(r.text, 'html.parser')   # HTML 파싱\n",
        "    # 클래스 이름이 'gd_name'인 a 태그의 텍스트를 가져옵니다.\n",
        "    title = soup.find('a', attrs={'class':'gd_name'}) \\\n",
        "            .get_text()\n",
        "    return title"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 40,
      "id": "33001358",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:43.567024Z",
          "iopub.status.busy": "2021-09-07T02:39:43.566398Z",
          "iopub.status.idle": "2021-09-07T02:39:44.233268Z",
          "shell.execute_reply": "2021-09-07T02:39:44.233991Z"
        },
        "id": "33001358",
        "outputId": "f223f727-3d7e-4627-d057-7c790e761fc3"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'골목의 시간을 그리다'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 40
        }
      ],
      "source": [
        "get_book_title(9791191266054)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 41,
      "id": "89ece4b2",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:44.246689Z",
          "iopub.status.busy": "2021-09-07T02:39:44.245996Z",
          "iopub.status.idle": "2021-09-07T02:39:44.248602Z",
          "shell.execute_reply": "2021-09-07T02:39:44.249320Z"
        },
        "id": "89ece4b2"
      },
      "outputs": [],
      "source": [
        "import re\n",
        "\n",
        "def get_book_info(row):\n",
        "    title = row['도서명']\n",
        "    author = row['저자']\n",
        "    pub = row['출판사']\n",
        "    year = row['발행년도']\n",
        "    # Yes24 도서 검색 페이지 URL\n",
        "    url = 'http://www.yes24.com/Product/Search?domain=BOOK&query={}'\n",
        "    # URL에 ISBN을 넣어 HTML 가져옵니다.\n",
        "    r = requests.get(url.format(row['ISBN']))\n",
        "    soup = BeautifulSoup(r.text, 'html.parser')   # HTML 파싱\n",
        "    try:\n",
        "        if pd.isna(title):\n",
        "            # 클래스 이름이 'gd_name'인 a 태그의 텍스트를 가져옵니다.\n",
        "            title = soup.find('a', attrs={'class':'gd_name'}) \\\n",
        "                    .get_text()\n",
        "    except AttributeError:\n",
        "        pass\n",
        "\n",
        "    try:\n",
        "        if pd.isna(author):\n",
        "            # 클래스 이름이 'info_auth'인 span 태그 아래 a 태그의 텍스트를 가져옵니다.\n",
        "            authors = soup.find('span', attrs={'class':'info_auth'}) \\\n",
        "                          .find_all('a')\n",
        "            author_list = [auth.get_text() for auth in authors]\n",
        "            author = ','.join(author_list)\n",
        "    except AttributeError:\n",
        "        pass\n",
        "\n",
        "    try:\n",
        "        if pd.isna(pub):\n",
        "            # 클래스 이름이 'info_auth'인 span 태그 아래 a 태그의 텍스트를 가져옵니다.\n",
        "            pub = soup.find('span', attrs={'class':'info_pub'}) \\\n",
        "                      .find('a') \\\n",
        "                      .get_text()\n",
        "    except AttributeError:\n",
        "        pass\n",
        "\n",
        "    try:\n",
        "        if year == -1:\n",
        "            # 클래스 이름이 'info_date'인 span 태그 아래 텍스트를 가져옵니다.\n",
        "            year_str = soup.find('span', attrs={'class':'info_date'}) \\\n",
        "                           .get_text()\n",
        "            # 정규식으로 찾은 값 중에 첫 번째 것만 사용합니다.\n",
        "            year = re.findall(r'\\d{4}', year_str)[0]\n",
        "    except AttributeError:\n",
        "        pass\n",
        "\n",
        "    return title, author, pub, year"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "id": "652071aa",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 125
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:44.254726Z",
          "iopub.status.busy": "2021-09-07T02:39:44.254347Z",
          "iopub.status.idle": "2021-09-07T02:39:45.443762Z",
          "shell.execute_reply": "2021-09-07T02:39:45.443014Z"
        },
        "id": "652071aa",
        "outputId": "6dcd273c-ccd2-4626-ee0b-17176db40b66"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               0           1           2     3\n",
              "78    아산 정주영 레거시         김화진  서울대학교출판문화원  2021\n",
              "265  골목의 시간을 그리다  정명섭.김효찬 지음      초록비책공방  2021"
            ],
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              "\n",
              "  <div id=\"df-9cde38b9-da80-491b-8e9e-f4e0ccf44b74\" class=\"colab-df-container\">\n",
              "    <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",
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              "      <td>정명섭.김효찬 지음</td>\n",
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              "</div>\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
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              "      height: 32px;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-9cde38b9-da80-491b-8e9e-f4e0ccf44b74 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-9cde38b9-da80-491b-8e9e-f4e0ccf44b74');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-746affb4-d1ea-4d1c-ad52-4d4a062ce067\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-746affb4-d1ea-4d1c-ad52-4d4a062ce067')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-746affb4-d1ea-4d1c-ad52-4d4a062ce067 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_200df819-52eb-4c91-93aa-75adbccf088b\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('updated_sample')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_200df819-52eb-4c91-93aa-75adbccf088b button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('updated_sample');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "updated_sample",
              "summary": "{\n  \"name\": \"updated_sample\",\n  \"rows\": 2,\n  \"fields\": [\n    {\n      \"column\": 0,\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"\\uace8\\ubaa9\\uc758 \\uc2dc\\uac04\\uc744 \\uadf8\\ub9ac\\ub2e4\",\n          \"\\uc544\\uc0b0 \\uc815\\uc8fc\\uc601 \\ub808\\uac70\\uc2dc\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": 1,\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"\\uc815\\uba85\\uc12d.\\uae40\\ud6a8\\ucc2c \\uc9c0\\uc74c\",\n          \"\\uae40\\ud654\\uc9c4\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": 2,\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"\\ucd08\\ub85d\\ube44\\ucc45\\uacf5\\ubc29\",\n          \"\\uc11c\\uc6b8\\ub300\\ud559\\uad50\\ucd9c\\ud310\\ubb38\\ud654\\uc6d0\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": 3,\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 2021,\n        \"max\": 2021,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          2021\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 42
        }
      ],
      "source": [
        "updated_sample = ns_book5[na_rows].head(2).apply(get_book_info,\n",
        "    axis=1, result_type ='expand')\n",
        "updated_sample"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "ca335d8b",
      "metadata": {
        "id": "ca335d8b"
      },
      "source": [
        "아래 코드 셀은 실행하는데 시간이 오래 걸립니다. 편의를 위해 실행한 결과를 저장해 놓은 CSV 파일을 사용하겠습니다."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 43,
      "id": "a7294681",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-09-07T02:39:45.449094Z",
          "iopub.status.busy": "2021-09-07T02:39:45.448244Z",
          "iopub.status.idle": "2021-09-07T03:02:43.213990Z",
          "shell.execute_reply": "2021-09-07T03:02:43.213226Z"
        },
        "id": "a7294681"
      },
      "outputs": [],
      "source": [
        "# ns_book5_update = ns_book5[na_rows].apply(get_book_info,\n",
        "#     axis=1, result_type ='expand')\n",
        "\n",
        "# ns_book5_update.columns = ['도서명','저자','출판사','발행년도']\n",
        "# ns_book5_update.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "id": "09ccfc9e",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T03:02:43.276568Z",
          "iopub.status.busy": "2021-09-07T03:02:43.275664Z",
          "iopub.status.idle": "2021-09-07T03:02:43.279135Z",
          "shell.execute_reply": "2021-09-07T03:02:43.278127Z"
        },
        "id": "09ccfc9e",
        "outputId": "ba7a3bc6-84fd-45e5-8ed6-2e59f3b8b058"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Downloading...\n",
            "From: http://bit.ly/3UJZiHw\n",
            "To: /content/ns_book5_update.csv\n",
            "100%|██████████| 406k/406k [00:00<00:00, 6.02MB/s]\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                          도서명               저자         출판사  발행년도\n",
              "78                 아산 정주영 레거시              김화진  서울대학교출판문화원  2021\n",
              "265               골목의 시간을 그리다       정명섭.김효찬 지음      초록비책공방  2021\n",
              "354                    한국인의 맛           정명섭 지음         추수밭  2021\n",
              "539              한성부, 달 밝은 밤에           김이삭 지음      고즈넉이엔티  2021\n",
              "607  100일 완성 마그마 러시아어 중고급 단어장  러포자 구제 연구소 외 지음         문예림  2021"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-daae40d8-f12b-4420-9b9c-27bba8d1f102\" class=\"colab-df-container\">\n",
              "    <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",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>도서명</th>\n",
              "      <th>저자</th>\n",
              "      <th>출판사</th>\n",
              "      <th>발행년도</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>아산 정주영 레거시</td>\n",
              "      <td>김화진</td>\n",
              "      <td>서울대학교출판문화원</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>265</th>\n",
              "      <td>골목의 시간을 그리다</td>\n",
              "      <td>정명섭.김효찬 지음</td>\n",
              "      <td>초록비책공방</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>354</th>\n",
              "      <td>한국인의 맛</td>\n",
              "      <td>정명섭 지음</td>\n",
              "      <td>추수밭</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>539</th>\n",
              "      <td>한성부, 달 밝은 밤에</td>\n",
              "      <td>김이삭 지음</td>\n",
              "      <td>고즈넉이엔티</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>607</th>\n",
              "      <td>100일 완성 마그마 러시아어 중고급 단어장</td>\n",
              "      <td>러포자 구제 연구소 외 지음</td>\n",
              "      <td>문예림</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-daae40d8-f12b-4420-9b9c-27bba8d1f102')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-daae40d8-f12b-4420-9b9c-27bba8d1f102 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-daae40d8-f12b-4420-9b9c-27bba8d1f102');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-647efc15-1376-4a0e-8a20-55730d283e07\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-647efc15-1376-4a0e-8a20-55730d283e07')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-647efc15-1376-4a0e-8a20-55730d283e07 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "ns_book5_update",
              "summary": "{\n  \"name\": \"ns_book5_update\",\n  \"rows\": 5268,\n  \"fields\": [\n    {\n      \"column\": \"\\ub3c4\\uc11c\\uba85\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4733,\n        \"samples\": [\n          \"\\uc5b4\\uae00\\ub9ac \\ud2b8\\ub8e8\\uc2a4\",\n          \"\\ub108\\ub294 \\ubb50\\ub0d0 :\\ubc15\\uc6a9\\uc0bc \\uc81c3\\uc2dc\\uc0ac\\uce7c\\ub7fc\\uc9d1 \",\n          \"\\ub7ec\\ube0c\\ud53d\\uc158\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\uc800\\uc790\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4314,\n        \"samples\": [\n          \"\\ubcc0\\ud615\\uc724...[\\ub4f1\\uc800]\",\n          \"\\uc2a4\\ud0d5\\ub2ec [\\u8457]\",\n          \"\\uc591\\ucc44\\uc601 \\uc9c0\\uc74c\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ucd9c\\ud310\\uc0ac\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 476,\n        \"samples\": [\n          \"\\ud55c\\uad6d\\ub178\\ub3d9\\uc5f0\\uad6c\\uc6d0\",\n          \"\\ud31c\\ud30c\\uc2a4\",\n          \"Encyclopaedia Britannica\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ubc1c\\ud589\\ub144\\ub3c4\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 195,\n        \"min\": -1,\n        \"max\": 2551,\n        \"num_unique_values\": 76,\n        \"samples\": [\n          2004,\n          2551,\n          1992\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 44
        }
      ],
      "source": [
        "gdown.download('http://bit.ly/3UJZiHw', 'ns_book5_update.csv', quiet=False)\n",
        "\n",
        "ns_book5_update = pd.read_csv('ns_book5_update.csv', index_col=0)\n",
        "ns_book5_update.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "id": "1e62f5f1",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T03:02:43.283526Z",
          "iopub.status.busy": "2021-09-07T03:02:43.282888Z",
          "iopub.status.idle": "2021-09-07T03:02:43.286383Z",
          "shell.execute_reply": "2021-09-07T03:02:43.285539Z"
        },
        "id": "1e62f5f1",
        "outputId": "dae6cba0-8bb6-4590-ad5f-cc0a8b93f83f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "4615\n"
          ]
        }
      ],
      "source": [
        "ns_book5.update(ns_book5_update)\n",
        "\n",
        "na_rows = ns_book5['도서명'].isna() | ns_book5['저자'].isna() \\\n",
        "          | ns_book5['출판사'].isna() | ns_book5['발행년도'].eq(-1)\n",
        "print(na_rows.sum())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "id": "27e82890",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 310
        },
        "execution": {
          "iopub.execute_input": "2021-09-07T03:02:43.291015Z",
          "iopub.status.busy": "2021-09-07T03:02:43.290368Z",
          "iopub.status.idle": "2021-09-07T03:02:43.292977Z",
          "shell.execute_reply": "2021-09-07T03:02:43.293789Z"
        },
        "id": "27e82890",
        "outputId": "a94552bc-742d-425a-fb04-ab90389be090"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   번호                    도서명                저자    출판사  발행년도           ISBN  \\\n",
              "0   1                인공지능과 흙            김동훈 지음    민음사  2021  9788937444319   \n",
              "1   2           가짜 행복 권하는 사회            김태형 지음   갈매나무  2021  9791190123969   \n",
              "2   3  나도 한 문장 잘 쓰면 바랄 게 없겠네            김선영 지음   블랙피쉬  2021  9788968332982   \n",
              "3   4                예루살렘 해변  이도 게펜 지음, 임재희 옮김  문학세계사  2021  9788970759906   \n",
              "4   5  김성곤의 중국한시기행 : 장강·황하 편            김성곤 지음    김영사  2021  9788934990833   \n",
              "\n",
              "  세트 ISBN 부가기호    권 주제분류번호  도서권수  대출건수        등록일자  \n",
              "0          NaN  NaN    NaN     1     0  2021-03-19  \n",
              "1          NaN  NaN    NaN     1     0  2021-03-19  \n",
              "2          NaN  NaN    NaN     1     0  2021-03-19  \n",
              "3          NaN  NaN    NaN     1     0  2021-03-19  \n",
              "4          NaN  NaN    NaN     1     0  2021-03-19  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-07507050-44ba-48cc-9b00-7afd734e6e99\" class=\"colab-df-container\">\n",
              "    <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>번호</th>\n",
              "      <th>도서명</th>\n",
              "      <th>저자</th>\n",
              "      <th>출판사</th>\n",
              "      <th>발행년도</th>\n",
              "      <th>ISBN</th>\n",
              "      <th>세트 ISBN</th>\n",
              "      <th>부가기호</th>\n",
              "      <th>권</th>\n",
              "      <th>주제분류번호</th>\n",
              "      <th>도서권수</th>\n",
              "      <th>대출건수</th>\n",
              "      <th>등록일자</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>인공지능과 흙</td>\n",
              "      <td>김동훈 지음</td>\n",
              "      <td>민음사</td>\n",
              "      <td>2021</td>\n",
              "      <td>9788937444319</td>\n",
              "      <td></td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2021-03-19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>가짜 행복 권하는 사회</td>\n",
              "      <td>김태형 지음</td>\n",
              "      <td>갈매나무</td>\n",
              "      <td>2021</td>\n",
              "      <td>9791190123969</td>\n",
              "      <td></td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2021-03-19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>나도 한 문장 잘 쓰면 바랄 게 없겠네</td>\n",
              "      <td>김선영 지음</td>\n",
              "      <td>블랙피쉬</td>\n",
              "      <td>2021</td>\n",
              "      <td>9788968332982</td>\n",
              "      <td></td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2021-03-19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>예루살렘 해변</td>\n",
              "      <td>이도 게펜 지음, 임재희 옮김</td>\n",
              "      <td>문학세계사</td>\n",
              "      <td>2021</td>\n",
              "      <td>9788970759906</td>\n",
              "      <td></td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2021-03-19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>김성곤의 중국한시기행 : 장강·황하 편</td>\n",
              "      <td>김성곤 지음</td>\n",
              "      <td>김영사</td>\n",
              "      <td>2021</td>\n",
              "      <td>9788934990833</td>\n",
              "      <td></td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2021-03-19</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-07507050-44ba-48cc-9b00-7afd734e6e99')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-07507050-44ba-48cc-9b00-7afd734e6e99 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-07507050-44ba-48cc-9b00-7afd734e6e99');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-2b723668-b282-48fe-8891-d4568406f804\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2b723668-b282-48fe-8891-d4568406f804')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-2b723668-b282-48fe-8891-d4568406f804 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "ns_book6"
            }
          },
          "metadata": {},
          "execution_count": 46
        }
      ],
      "source": [
        "ns_book6 = ns_book5.dropna(subset=['도서명','저자','출판사'])\n",
        "ns_book6 = ns_book6[ns_book6['발행년도'] != -1]\n",
        "ns_book6.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 47,
      "id": "112c8afb",
      "metadata": {
        "id": "112c8afb"
      },
      "outputs": [],
      "source": [
        "ns_book6.to_csv('ns_book6.csv', index=False)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 48,
      "id": "0b3cc079",
      "metadata": {
        "id": "0b3cc079"
      },
      "outputs": [],
      "source": [
        "def data_fixing(ns_book4):\n",
        "    \"\"\"\n",
        "    잘못된 값을 수정하거나 NaN 값을 채우는 함수\n",
        "\n",
        "    :param ns_book4: data_cleaning() 함수에서 전처리된 데이터프레임\n",
        "    \"\"\"\n",
        "    # 도서권수와 대출건수를 int64로 바꿉니다.\n",
        "    ns_book4 = ns_book4.astype({'도서권수':'int64', '대출건수': 'int64'})\n",
        "    # NaN인 세트 ISBN을 빈문자열로 바꿉니다.\n",
        "    set_isbn_na_rows = ns_book4['세트 ISBN'].isna()\n",
        "    ns_book4.loc[set_isbn_na_rows, '세트 ISBN'] = ''\n",
        "\n",
        "    # 발행년도 열에서 연도 네 자리를 추출하여 대체합니다. 나머지 발행년도는 -1로 바꿉니다.\n",
        "    ns_book5 = ns_book4.replace({'발행년도':'.*(\\d{4}).*'}, r'\\1', regex=True)\n",
        "    unkown_year = ns_book5['발행년도'].str.contains('\\D', na=True)\n",
        "    ns_book5.loc[unkown_year, '발행년도'] = '-1'\n",
        "\n",
        "    # 발행년도를 int64로 바꿉니다.\n",
        "    ns_book5 = ns_book5.astype({'발행년도': 'int64'})\n",
        "    # 4000년 이상인 경우 2333년을 뺍니다.\n",
        "    dangun_yy_rows = ns_book5['발행년도'].gt(4000)\n",
        "    ns_book5.loc[dangun_yy_rows, '발행년도'] = ns_book5.loc[dangun_yy_rows, '발행년도'] - 2333\n",
        "    # 여전히 4000년 이상인 경우 -1로 바꿉니다.\n",
        "    dangun_year = ns_book5['발행년도'].gt(4000)\n",
        "    ns_book5.loc[dangun_year, '발행년도'] = -1\n",
        "    # 0~1900년 사이의 발행년도는 -1로 바꿉니다.\n",
        "    old_books = ns_book5['발행년도'].gt(0) & ns_book5['발행년도'].lt(1900)\n",
        "    ns_book5.loc[old_books, '발행년도'] = -1\n",
        "\n",
        "    # 도서명, 저자, 출판사가 NaN이거나 발행년도가 -1인 행을 찾습니다.\n",
        "    na_rows = ns_book5['도서명'].isna() | ns_book5['저자'].isna() \\\n",
        "              | ns_book5['출판사'].isna() | ns_book5['발행년도'].eq(-1)\n",
        "    # 교보문고 도서 상세 페이지에서 누락된 정보를 채웁니다.\n",
        "    updated_sample = ns_book5[na_rows].apply(get_book_info,\n",
        "        axis=1, result_type ='expand')\n",
        "    updated_sample.columns = ['도서명','저자','출판사','발행년도']\n",
        "    ns_book5.update(updated_sample)\n",
        "\n",
        "    # 도서명, 저자, 출판사가 NaN이거나 발행년도가 -1인 행을 삭제합니다.\n",
        "    ns_book6 = ns_book5.dropna(subset=['도서명','저자','출판사'])\n",
        "    ns_book6 = ns_book6[ns_book6['발행년도'] != -1]\n",
        "\n",
        "    return ns_book6"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "name": "03-2.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.2"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}