hw11_pandas_in_act.ipynb

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              "               start_time               stop_time\n",
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          "metadata": {},
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      ],
      "source": [
        "import pandas as pd\n",
        "# Преобразуйте строковые значения в столбцах start_time и stop_time в значения типа Timestamp\n",
        "citi_bike = pd.read_csv(\"citibike.csv\", parse_dates=[\"start_time\", \"stop_time\"])\n",
        "citi_bike.head()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "citi_bike.info()"
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      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1069548 entries, 0 to 1069547\n",
            "Data columns (total 2 columns):\n",
            " #   Column      Non-Null Count    Dtype         \n",
            "---  ------      --------------    -----         \n",
            " 0   start_time  1069548 non-null  datetime64[ns]\n",
            " 1   stop_time   1069547 non-null  datetime64[ns]\n",
            "dtypes: datetime64[ns](2)\n",
            "memory usage: 16.3 MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Подсчитайте количество поездок, совершаемых по дням недели (поне- дельник, вторник и т д ) В какой будний день совершается больше всего велопоездок? Используйте столбец start_time в качестве отправной точки"
      ],
      "metadata": {
        "id": "NcFHm4yX55xt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "citi_bike[\"start_time\"].dt.day_name().value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AltIkKSa4yzf",
        "outputId": "29d3d928-db6c-4c2c-9de3-61bcd8c8f70c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Tuesday      173432\n",
              "Monday       171328\n",
              "Sunday       160172\n",
              "Wednesday    155864\n",
              "Saturday     145953\n",
              "Thursday     145598\n",
              "Friday       117201\n",
              "Name: start_time, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Подсчитайте количество поездок за каждую неделю в течение месяца Для это- го округлите все даты в столбце start_time до предыдущего или текущего понедельника Предположим, что каждая неделя начинается в понедельник и заканчивается в воскресенье Соответственно, первая неделя июня будет начинаться в понедельник 1 июня и заканчиваться в воскресенье 7 июня"
      ],
      "metadata": {
        "id": "ps7jIUQiA9sn"
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    {
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      "source": [
        " days_away_from_monday = citi_bike[\"start_time\"].dt.dayofweek\n",
        " citi_bike[\"start_time\"] - pd.to_timedelta(\n",
        "              days_away_from_monday, unit = \"day\"\n",
        ")"
      ],
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        "id": "WfpTq_d2A8nz",
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            "text/plain": [
              "0         2020-06-01 00:00:03.372\n",
              "1         2020-06-01 00:00:03.553\n",
              "2         2020-06-01 00:00:09.614\n",
              "3         2020-06-01 00:00:12.178\n",
              "4         2020-06-01 00:00:21.255\n",
              "                    ...          \n",
              "1069543   2020-06-15 10:26:49.076\n",
              "1069544   2020-06-15 10:26:49.631\n",
              "1069545   2020-06-15 10:26:50.960\n",
              "1069546   2020-06-15 10:26:53.705\n",
              "1069547   2019-12-30 00:00:00.000\n",
              "Name: start_time, Length: 1069548, dtype: datetime64[ns]"
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          "metadata": {},
          "execution_count": 15
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      "source": [
        " dates_rounded_to_monday = citi_bike[\n",
        "              \"start_time\"\n",
        "          ] - pd.to_timedelta(days_away_from_monday, unit = \"day\")"
      ],
      "metadata": {
        "id": "IyZpjC1FBqlz"
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      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dates_rounded_to_monday.dt.date.value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Yj0K7UGzBv5v",
        "outputId": "08ce73e3-ccb4-47dc-e00a-99f1b124685e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2020-06-08    471384\n",
              "2020-06-01    337590\n",
              "2020-06-15    260573\n",
              "2019-12-30         1\n",
              "Name: start_time, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Рассчитайте продолжительность каждой поездки и сохраните результаты в новый столбец duration"
      ],
      "metadata": {
        "id": "-mR9iJzqB7RO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "citi_bike['duration'] = citi_bike['stop_time'] - citi_bike['start_time']\n",
        "citi_bike.head()"
      ],
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              "               start_time               stop_time Day of Week Start  \\\n",
              "0 2020-06-01 00:00:03.372 2020-06-01 00:17:46.208            Monday   \n",
              "1 2020-06-01 00:00:03.553 2020-06-01 01:03:33.936            Monday   \n",
              "2 2020-06-01 00:00:09.614 2020-06-01 00:17:06.833            Monday   \n",
              "3 2020-06-01 00:00:12.178 2020-06-01 00:03:58.864            Monday   \n",
              "4 2020-06-01 00:00:21.255 2020-06-01 00:24:18.965            Monday   \n",
              "\n",
              "                duration  \n",
              "0 0 days 00:17:42.836000  \n",
              "1 0 days 01:03:30.383000  \n",
              "2 0 days 00:16:57.219000  \n",
              "3 0 days 00:03:46.686000  \n",
              "4 0 days 00:23:57.710000  "
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              "      <td>2020-06-01 00:00:03.553</td>\n",
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              "      <td>2020-06-01 00:00:12.178</td>\n",
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              "      <td>Monday</td>\n",
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              "      <td>2020-06-01 00:00:21.255</td>\n",
              "      <td>2020-06-01 00:24:18.965</td>\n",
              "      <td>Monday</td>\n",
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              "\n",
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              "              title=\"Suggest charts.\"\n",
              "              style=\"display:none;\">\n",
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              "      </button>\n",
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              "\n",
              "<style>\n",
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              "    background-color: #E8F0FE;\n",
              "    border: none;\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart: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-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
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              "  [theme=dark] .colab-df-quickchart:hover {\n",
              "    background-color: #434B5C;\n",
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              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "\n",
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              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "  quickchartButtonEl.style.display =\n",
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              "      <style>\n",
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              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
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              "    .colab-df-convert {\n",
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              "      border-radius: 50%;\n",
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              "      fill: #1967D2;\n",
              "      height: 32px;\n",
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              "      width: 32px;\n",
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              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\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-d2749324-0539-4273-a16a-0148e867a021 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-d2749324-0539-4273-a16a-0148e867a021');\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": [
        "# Найдите среднюю продолжительность поездки\n",
        "citi_bike['duration'].mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yCQe-U17CU8x",
        "outputId": "60c611c2-2e72-44a1-d593-3bcaa8e2a87e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Timedelta('0 days 00:28:36.772639619')"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Извлеките из набора данных пять самых долгих поездок\n",
        "citi_bike.sort_values('duration', ascending=False).head(5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "LM0NYWTnDBws",
        "outputId": "723cbe46-020b-46f8-a463-d97673c183fc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                    start_time               stop_time Day of Week Start  \\\n",
              "50593  2020-06-01 21:30:17.759 2020-07-04 12:32:12.699            Monday   \n",
              "98339  2020-06-02 19:41:39.659 2020-07-03 21:29:00.291           Tuesday   \n",
              "52306  2020-06-01 22:17:10.908 2020-07-02 17:49:31.604            Monday   \n",
              "15171  2020-06-01 13:01:41.942 2020-07-01 17:28:30.366            Monday   \n",
              "149761 2020-06-04 14:36:53.482 2020-07-03 00:01:44.178          Thursday   \n",
              "\n",
              "                      duration  \n",
              "50593  32 days 15:01:54.940000  \n",
              "98339  31 days 01:47:20.632000  \n",
              "52306  30 days 19:32:20.696000  \n",
              "15171  30 days 04:26:48.424000  \n",
              "149761 28 days 09:24:50.696000  "
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              "              title=\"Suggest charts.\"\n",
              "              style=\"display:none;\">\n",
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              "    </g>\n",
              "</svg>\n",
              "      </button>\n",
              "    </div>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "    background-color: #E8F0FE;\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
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              "    padding: 0 0 0 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: #E2EBFA;\n",
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              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\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",
              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "  }\n",
              "</style>\n",
              "\n",
              "    <script>\n",
              "      async function quickchart(key) {\n",
              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      }\n",
              "    </script>\n",
              "\n",
              "      <script>\n",
              "\n",
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              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
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              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\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",
              "    [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-795713f9-ea0c-400f-9c43-1729a908ae29 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-795713f9-ea0c-400f-9c43-1729a908ae29');\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": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 2 способ\n",
        "citi_bike.nlargest(n = 5, columns = \"duration\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "W6jk51xZDg_v",
        "outputId": "4aa165eb-70cd-44c4-cb58-70513799b3de"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                    start_time               stop_time Day of Week Start  \\\n",
              "50593  2020-06-01 21:30:17.759 2020-07-04 12:32:12.699            Monday   \n",
              "98339  2020-06-02 19:41:39.659 2020-07-03 21:29:00.291           Tuesday   \n",
              "52306  2020-06-01 22:17:10.908 2020-07-02 17:49:31.604            Monday   \n",
              "15171  2020-06-01 13:01:41.942 2020-07-01 17:28:30.366            Monday   \n",
              "149761 2020-06-04 14:36:53.482 2020-07-03 00:01:44.178          Thursday   \n",
              "\n",
              "                      duration  \n",
              "50593  32 days 15:01:54.940000  \n",
              "98339  31 days 01:47:20.632000  \n",
              "52306  30 days 19:32:20.696000  \n",
              "15171  30 days 04:26:48.424000  \n",
              "149761 28 days 09:24:50.696000  "
            ],
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              "      <th>50593</th>\n",
              "      <td>2020-06-01 21:30:17.759</td>\n",
              "      <td>2020-07-04 12:32:12.699</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>98339</th>\n",
              "      <td>2020-06-02 19:41:39.659</td>\n",
              "      <td>2020-07-03 21:29:00.291</td>\n",
              "      <td>Tuesday</td>\n",
              "      <td>31 days 01:47:20.632000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52306</th>\n",
              "      <td>2020-06-01 22:17:10.908</td>\n",
              "      <td>2020-07-02 17:49:31.604</td>\n",
              "      <td>Monday</td>\n",
              "      <td>30 days 19:32:20.696000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15171</th>\n",
              "      <td>2020-06-01 13:01:41.942</td>\n",
              "      <td>2020-07-01 17:28:30.366</td>\n",
              "      <td>Monday</td>\n",
              "      <td>30 days 04:26:48.424000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>149761</th>\n",
              "      <td>2020-06-04 14:36:53.482</td>\n",
              "      <td>2020-07-03 00:01:44.178</td>\n",
              "      <td>Thursday</td>\n",
              "      <td>28 days 09:24:50.696000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f6e2d30e-ec21-4a30-b790-41ec1d486107')\"\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 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "\n",
              "\n",
              "\n",
              "    <div id=\"df-b7947595-d9ac-4ac8-9104-47ac44cd0b0f\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-b7947595-d9ac-4ac8-9104-47ac44cd0b0f')\"\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",
              "    </div>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\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-quickchart: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-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\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",
              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "    fill: #FFFFFF;\n",
              "  }\n",
              "</style>\n",
              "\n",
              "    <script>\n",
              "      async function quickchart(key) {\n",
              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      }\n",
              "    </script>\n",
              "\n",
              "      <script>\n",
              "\n",
              "function displayQuickchartButton(domScope) {\n",
              "  let quickchartButtonEl =\n",
              "    domScope.querySelector('#df-b7947595-d9ac-4ac8-9104-47ac44cd0b0f button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
              "      </script>\n",
              "      <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-f6e2d30e-ec21-4a30-b790-41ec1d486107 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-f6e2d30e-ec21-4a30-b790-41ec1d486107');\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": 25
        }
      ]
    }
  ]
}