hw10_pandas_in_act.ipynb

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              "   Customer ID  Food ID\n",
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          },
          "metadata": {},
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      ],
      "source": [
        "import pandas as pd\n",
        "pd.read_csv(\"week_1_sales.csv\").head()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "week1 = pd.read_csv(\"week_1_sales.csv\")\n",
        "week2 = pd.read_csv(\"week_2_sales.csv\")"
      ],
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        "id": "qrLoJyxl1cXh"
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      "execution_count": 2,
      "outputs": []
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      "source": [
        "pd.read_csv(\"/content/customers (1).csv\", index_col = \"ID\").head()"
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      "execution_count": 4,
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              "   First Name Last Name  Gender  Company                     Occupation\n",
              "ID                                                                     \n",
              "1      Joseph   Perkins    Male  Dynazzy  Community Outreach Specialist\n",
              "2    Jennifer   Alvarez  Female     DabZ        Senior Quality Engineer\n",
              "3       Roger     Black    Male  Tagfeed              Account Executive\n",
              "4      Steven     Evans    Male     Fatz               Registered Nurse\n",
              "5        Judy  Morrison  Female  Demivee                Legal Assistant"
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              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "customers = pd.read_csv(\"/content/customers (1).csv\", index_col = \"ID\")"
      ],
      "metadata": {
        "id": "Zc9x-KUG1vtE"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pd.read_csv(\"foods.csv\", index_col = \"Food ID\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "O57NXksS11Zx",
        "outputId": "0180df57-7c9d-4ea4-b818-a863fe48a80e"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          Food Item  Price\n",
              "Food ID                   \n",
              "1             Sushi   3.99\n",
              "2           Burrito   9.99\n",
              "3              Taco   2.99\n",
              "4        Quesadilla   4.25\n",
              "5             Pizza   2.49\n",
              "6             Pasta  13.99\n",
              "7             Steak  24.99\n",
              "8             Salad  11.25\n",
              "9             Donut   0.99\n",
              "10            Drink   1.75"
            ],
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              "      <th>9</th>\n",
              "      <td>Donut</td>\n",
              "      <td>0.99</td>\n",
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              "      <th>10</th>\n",
              "      <td>Drink</td>\n",
              "      <td>1.75</td>\n",
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              "    background-color: #E8F0FE;\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
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              "    fill: #D2E3FC;\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart:hover {\n",
              "    background-color: #434B5C;\n",
              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "\n",
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              "        const containerElement = document.querySelector('#' + key);\n",
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              "            'suggestCharts', [key], {});\n",
              "      }\n",
              "    </script>\n",
              "\n",
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              "\n",
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              "  let quickchartButtonEl =\n",
              "    domScope.querySelector('#df-cccd6934-acff-4660-a08d-bf9817798dab button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
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              "\n",
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              "    }\n",
              "\n",
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              "      fill: #174EA6;\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-a48dedf0-779e-4c7c-929d-7c319eba5b32 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-a48dedf0-779e-4c7c-929d-7c319eba5b32');\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",
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              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "foods = pd.read_csv(\"foods.csv\", index_col = \"Food ID\")"
      ],
      "metadata": {
        "id": "6qOdu7ic18Q8"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Объедините данные о продажах за две недели в один DataFrame Назначьте дан-\n",
        "# ным из набора week1 ключ \"Week 1\", а данным из набора week2 — ключ \"Week 2\"\n",
        "\n",
        "all_sales = pd.concat(objs= [week1, week2], keys = [\"Week 1\", \"Week 2\"])\n",
        "all_sales"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "7sM7fRqe2A5Y",
        "outputId": "55f7a608-d146-4479-8bfb-d25e06bb85eb"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            Customer ID  Food ID\n",
              "Week 1 0            537        9\n",
              "       1             97        4\n",
              "       2            658        1\n",
              "       3            202        2\n",
              "       4            155        9\n",
              "...                 ...      ...\n",
              "Week 2 245          783       10\n",
              "       246          556       10\n",
              "       247          547        9\n",
              "       248          252        9\n",
              "       249          249        6\n",
              "\n",
              "[500 rows x 2 columns]"
            ],
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              "      <th>2</th>\n",
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              "    <tr>\n",
              "      <th>...</th>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"5\" valign=\"top\">Week 2</th>\n",
              "      <th>245</th>\n",
              "      <td>783</td>\n",
              "      <td>10</td>\n",
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              "    <tr>\n",
              "      <th>249</th>\n",
              "      <td>249</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>500 rows × 2 columns</p>\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-3843f979-a0db-4663-b580-ddf9aba898d7 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-3843f979-a0db-4663-b580-ddf9aba898d7');\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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              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
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              "      </script>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Найдите клиентов, которые посещали ресторан на каждой из рассматриваемых недель\n",
        "\n",
        "week1.merge(right = week2, how = \"inner\", on = \"Customer ID\").head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
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        "id": "Gwp8sIF128vw",
        "outputId": "deb4f732-acf7-4209-cd9c-750ce15bf8e7"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Customer ID  Food ID_x  Food ID_y\n",
              "0          537          9          5\n",
              "1          155          9          3\n",
              "2          155          1          3\n",
              "3          503          5          8\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",
              "            + ' 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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          "metadata": {},
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    },
    {
      "cell_type": "code",
      "source": [
        "week1.merge(\n",
        "                right = week2, how = \"inner\", on = \"Customer ID\"\n",
        "            ).drop_duplicates(subset = [\"Customer ID\"]).head()"
      ],
      "metadata": {
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        "id": "eoetg4cV3nrd",
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      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Customer ID  Food ID_x  Food ID_y\n",
              "0          537          9          5\n",
              "1          155          9          3\n",
              "3          503          5          8\n",
              "5          550          6          7\n",
              "6          101          7          4"
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          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Найдите клиентов, которые посещали ресторан\n",
        "# на каждой рассматриваемой неделе и каждую неделю заказывали одно и то же блюдо\n",
        "week1.merge(right = week2, how = \"inner\", on = [\"Customer ID\",'Food ID']).head()\n"
      ],
      "metadata": {
        "colab": {
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        "id": "Iok3jLAs3NLO",
        "outputId": "286de491-4f89-4960-e019-df9015c632bd"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
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            "text/plain": [
              "   Customer ID  Food ID\n",
              "0          304        3\n",
              "1          540        3\n",
              "2          937       10\n",
              "3          233        3\n",
              "4           21        4"
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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",
              "            + ' to learn more about interactive tables.';\n",
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            ]
          },
          "metadata": {},
          "execution_count": 13
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Найдите клиентов, посещавших ресторан только на первой неделе и только на второй неделе\n",
        "week1.merge(\n",
        "                right = week2,\n",
        "                how = \"outer\",\n",
        "                on = \"Customer ID\",\n",
        "                indicator = True\n",
        ").head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "XjRYTnAj3qIe",
        "outputId": "e687d053-a152-436d-9a51-8a5e6700c1e2"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Customer ID  Food ID_x  Food ID_y     _merge\n",
              "0          537        9.0        5.0       both\n",
              "1           97        4.0        NaN  left_only\n",
              "2          658        1.0        NaN  left_only\n",
              "3          202        2.0        NaN  left_only\n",
              "4          155        9.0        3.0       both"
            ],
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              "\n",
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              "        const containerElement = document.querySelector('#' + key);\n",
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              "            'suggestCharts', [key], {});\n",
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              "\n",
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              "      fill: #174EA6;\n",
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              "\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-2c07cd28-8bf6-45c3-81ca-53cac2688290 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-2c07cd28-8bf6-45c3-81ca-53cac2688290');\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",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Каждая строка в наборе данных week1 идентифицирует клиента, заказавшего блюдо\n",
        "# Для каждой строки в week1 извлеките информацию о клиенте из на- бора данных customers\n",
        "week1.merge(right = customers,\n",
        "            how = \"left\",\n",
        "            left_on = \"Customer ID\",\n",
        "            right_on = 'ID').head()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "g8ZAwX4P4LtI",
        "outputId": "9093faeb-1d0d-4ddd-e188-0397ef311163"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Customer ID  Food ID First Name Last Name  Gender    Company  \\\n",
              "0          537        9     Cheryl   Carroll  Female   Zoombeat   \n",
              "1           97        4     Amanda   Watkins  Female        Ozu   \n",
              "2          658        1    Patrick      Webb    Male  Browsebug   \n",
              "3          202        2      Louis  Campbell    Male  Rhynoodle   \n",
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              "\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-961aad16-976d-411d-9ff2-15d9a380585e');\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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              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        " week1.merge(\n",
        "             right = customers,\n",
        "             how = \"left\",\n",
        "             left_on = \"Customer ID\",\n",
        "             right_index = True\n",
        "         ).head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "e0CatFfE5JBa",
        "outputId": "7dd029f9-ee4d-442c-890d-c5913cf9acdf"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Customer ID  Food ID First Name Last Name  Gender    Company  \\\n",
              "0          537        9     Cheryl   Carroll  Female   Zoombeat   \n",
              "1           97        4     Amanda   Watkins  Female        Ozu   \n",
              "2          658        1    Patrick      Webb    Male  Browsebug   \n",
              "3          202        2      Louis  Campbell    Male  Rhynoodle   \n",
              "4          155        9    Carolyn      Diaz  Female   Gigazoom   \n",
              "\n",
              "                      Occupation  \n",
              "0               Registered Nurse  \n",
              "1            Account Coordinator  \n",
              "2  Community Outreach Specialist  \n",
              "3     Account Representative III  \n",
              "4     Database Administrator III  "
            ],
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              "\n",
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              "            + ' 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",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    }
  ]
}