AI_Games.ipynb

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        "<a href=\"https://colab.research.google.com/github/vn322/Cod_future/blob/main/AI_Games.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "source": [
        "\"Угадай число\"\n",
        "Пользователь загадывает число от 1 до N. Программа запрашивает у пользователя N. Требуется отгадать загаданное число, задав как можно меньше вопросов. (Обычно подобные задачи решают с помощью цикла)."
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      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import math\n",
        "import matplotlib.pyplot as plt"
      ]
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        "df = pd.read_csv('/content/output.csv')"
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      "source": [
        "https://www.codecamp.ru/blog/pandas-percent-change/"
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        "df['nansec']. pct_change ()"
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        "df['diftime']. pct_change ()"
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        "df = df[['nansec', 'time', 'diftime']]\n",
        "df"
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    },
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      "source": [
        "https://kanoki.org/2019/09/29/how-to-find-percentage-change-in-pandas/"
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>NaN</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.142167</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>191</th>\n",
              "      <td>NaN</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>16.820682</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>192</th>\n",
              "      <td>NaN</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>16.920402</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>193</th>\n",
              "      <td>NaN</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>17.021883</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>194</th>\n",
              "      <td>NaN</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>17.120459</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>195</th>\n",
              "      <td>NaN</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>17.220093</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>196 rows × 3 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-38a186e6-3d66-4c2e-a336-5952e1465156')\"\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-38a186e6-3d66-4c2e-a336-5952e1465156 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-38a186e6-3d66-4c2e-a336-5952e1465156');\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-70b73ffb-a8b2-4713-af8a-d577cc334138\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-70b73ffb-a8b2-4713-af8a-d577cc334138')\"\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-70b73ffb-a8b2-4713-af8a-d577cc334138 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.pct_change(axis=0,fill_method='bfill')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "hx44hjq-7XxY",
        "outputId": "0d6fe535-c3ec-4a9d-ee2a-02e2d0604382"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "           nansec          time   diftime\n",
              "0             NaN           NaN       NaN\n",
              "1    2.483354e-10  2.483354e-10  0.793192\n",
              "2    1.025744e-10  1.025744e-10  0.182706\n",
              "3    9.587953e-11  9.587953e-11  0.144398\n",
              "4    9.795986e-11  9.796008e-11  0.128916\n",
              "..            ...           ...       ...\n",
              "191  9.961876e-11  9.961876e-11  0.005621\n",
              "192  9.972023e-11  9.972023e-11  0.005596\n",
              "193  1.014815e-10  1.014815e-10  0.005663\n",
              "194  9.857604e-11  9.857604e-11  0.005470\n",
              "195  9.963341e-11  9.963341e-11  0.005498\n",
              "\n",
              "[196 rows x 3 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-319df9b6-8993-437e-89e0-844bd109feae\" 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>nansec</th>\n",
              "      <th>time</th>\n",
              "      <th>diftime</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2.483354e-10</td>\n",
              "      <td>2.483354e-10</td>\n",
              "      <td>0.793192</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1.025744e-10</td>\n",
              "      <td>1.025744e-10</td>\n",
              "      <td>0.182706</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>9.587953e-11</td>\n",
              "      <td>9.587953e-11</td>\n",
              "      <td>0.144398</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>9.795986e-11</td>\n",
              "      <td>9.796008e-11</td>\n",
              "      <td>0.128916</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>191</th>\n",
              "      <td>9.961876e-11</td>\n",
              "      <td>9.961876e-11</td>\n",
              "      <td>0.005621</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>192</th>\n",
              "      <td>9.972023e-11</td>\n",
              "      <td>9.972023e-11</td>\n",
              "      <td>0.005596</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>193</th>\n",
              "      <td>1.014815e-10</td>\n",
              "      <td>1.014815e-10</td>\n",
              "      <td>0.005663</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>194</th>\n",
              "      <td>9.857604e-11</td>\n",
              "      <td>9.857604e-11</td>\n",
              "      <td>0.005470</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>195</th>\n",
              "      <td>9.963341e-11</td>\n",
              "      <td>9.963341e-11</td>\n",
              "      <td>0.005498</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>196 rows × 3 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-319df9b6-8993-437e-89e0-844bd109feae')\"\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-319df9b6-8993-437e-89e0-844bd109feae 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-319df9b6-8993-437e-89e0-844bd109feae');\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-68d2194d-9fd1-495e-a4af-8365c42b738f\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-68d2194d-9fd1-495e-a4af-8365c42b738f')\"\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-68d2194d-9fd1-495e-a4af-8365c42b738f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "https://www.codecamp.ru/blog/rolling-mean-pandas/\n",
        "https://www.codecamp.ru/blog/rolling-correlation-pandas/"
      ],
      "metadata": {
        "id": "N7jJhOWc9jMy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df['nansec'].rolling (3).mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cny7OnO-9GYh",
        "outputId": "bf02a4f3-3629-4720-ee7d-3bc4f4f329b4"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0               NaN\n",
              "1               NaN\n",
              "2      1.701794e+18\n",
              "3      1.701794e+18\n",
              "4      1.701794e+18\n",
              "           ...     \n",
              "191    1.701795e+18\n",
              "192    1.701795e+18\n",
              "193    1.701795e+18\n",
              "194    1.701795e+18\n",
              "195    1.701795e+18\n",
              "Name: nansec, Length: 196, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pd.read_html('https://en.wikipedia.org/wiki/List_of_S%26P_500_companies')[0]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 686
        },
        "id": "uRlgSYxJC8_P",
        "outputId": "8065df46-6459-4d61-f8fe-097f796e6faa"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Symbol              Security             GICS Sector  \\\n",
              "0      MMM                    3M             Industrials   \n",
              "1      AOS           A. O. Smith             Industrials   \n",
              "2      ABT                Abbott             Health Care   \n",
              "3     ABBV                AbbVie             Health Care   \n",
              "4      ACN             Accenture  Information Technology   \n",
              "..     ...                   ...                     ...   \n",
              "498    YUM           Yum! Brands  Consumer Discretionary   \n",
              "499   ZBRA    Zebra Technologies  Information Technology   \n",
              "500    ZBH         Zimmer Biomet             Health Care   \n",
              "501   ZION  Zions Bancorporation              Financials   \n",
              "502    ZTS                Zoetis             Health Care   \n",
              "\n",
              "                      GICS Sub-Industry    Headquarters Location  Date added  \\\n",
              "0              Industrial Conglomerates    Saint Paul, Minnesota  1957-03-04   \n",
              "1                     Building Products     Milwaukee, Wisconsin  2017-07-26   \n",
              "2                 Health Care Equipment  North Chicago, Illinois  1957-03-04   \n",
              "3                       Pharmaceuticals  North Chicago, Illinois  2012-12-31   \n",
              "4        IT Consulting & Other Services          Dublin, Ireland  2011-07-06   \n",
              "..                                  ...                      ...         ...   \n",
              "498                         Restaurants     Louisville, Kentucky  1997-10-06   \n",
              "499  Electronic Equipment & Instruments   Lincolnshire, Illinois  2019-12-23   \n",
              "500               Health Care Equipment          Warsaw, Indiana  2001-08-07   \n",
              "501                      Regional Banks     Salt Lake City, Utah  2001-06-22   \n",
              "502                     Pharmaceuticals   Parsippany, New Jersey  2013-06-21   \n",
              "\n",
              "         CIK      Founded  \n",
              "0      66740         1902  \n",
              "1      91142         1916  \n",
              "2       1800         1888  \n",
              "3    1551152  2013 (1888)  \n",
              "4    1467373         1989  \n",
              "..       ...          ...  \n",
              "498  1041061         1997  \n",
              "499   877212         1969  \n",
              "500  1136869         1927  \n",
              "501   109380         1873  \n",
              "502  1555280         1952  \n",
              "\n",
              "[503 rows x 8 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-db364579-632a-4ba3-a70f-d5073bf7385b\" 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>Symbol</th>\n",
              "      <th>Security</th>\n",
              "      <th>GICS Sector</th>\n",
              "      <th>GICS Sub-Industry</th>\n",
              "      <th>Headquarters Location</th>\n",
              "      <th>Date added</th>\n",
              "      <th>CIK</th>\n",
              "      <th>Founded</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>MMM</td>\n",
              "      <td>3M</td>\n",
              "      <td>Industrials</td>\n",
              "      <td>Industrial Conglomerates</td>\n",
              "      <td>Saint Paul, Minnesota</td>\n",
              "      <td>1957-03-04</td>\n",
              "      <td>66740</td>\n",
              "      <td>1902</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>AOS</td>\n",
              "      <td>A. O. Smith</td>\n",
              "      <td>Industrials</td>\n",
              "      <td>Building Products</td>\n",
              "      <td>Milwaukee, Wisconsin</td>\n",
              "      <td>2017-07-26</td>\n",
              "      <td>91142</td>\n",
              "      <td>1916</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ABT</td>\n",
              "      <td>Abbott</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Health Care Equipment</td>\n",
              "      <td>North Chicago, Illinois</td>\n",
              "      <td>1957-03-04</td>\n",
              "      <td>1800</td>\n",
              "      <td>1888</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ABBV</td>\n",
              "      <td>AbbVie</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Pharmaceuticals</td>\n",
              "      <td>North Chicago, Illinois</td>\n",
              "      <td>2012-12-31</td>\n",
              "      <td>1551152</td>\n",
              "      <td>2013 (1888)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ACN</td>\n",
              "      <td>Accenture</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>IT Consulting &amp; Other Services</td>\n",
              "      <td>Dublin, Ireland</td>\n",
              "      <td>2011-07-06</td>\n",
              "      <td>1467373</td>\n",
              "      <td>1989</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>498</th>\n",
              "      <td>YUM</td>\n",
              "      <td>Yum! Brands</td>\n",
              "      <td>Consumer Discretionary</td>\n",
              "      <td>Restaurants</td>\n",
              "      <td>Louisville, Kentucky</td>\n",
              "      <td>1997-10-06</td>\n",
              "      <td>1041061</td>\n",
              "      <td>1997</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>499</th>\n",
              "      <td>ZBRA</td>\n",
              "      <td>Zebra Technologies</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>Electronic Equipment &amp; Instruments</td>\n",
              "      <td>Lincolnshire, Illinois</td>\n",
              "      <td>2019-12-23</td>\n",
              "      <td>877212</td>\n",
              "      <td>1969</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>500</th>\n",
              "      <td>ZBH</td>\n",
              "      <td>Zimmer Biomet</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Health Care Equipment</td>\n",
              "      <td>Warsaw, Indiana</td>\n",
              "      <td>2001-08-07</td>\n",
              "      <td>1136869</td>\n",
              "      <td>1927</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>501</th>\n",
              "      <td>ZION</td>\n",
              "      <td>Zions Bancorporation</td>\n",
              "      <td>Financials</td>\n",
              "      <td>Regional Banks</td>\n",
              "      <td>Salt Lake City, Utah</td>\n",
              "      <td>2001-06-22</td>\n",
              "      <td>109380</td>\n",
              "      <td>1873</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>502</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>Zoetis</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Pharmaceuticals</td>\n",
              "      <td>Parsippany, New Jersey</td>\n",
              "      <td>2013-06-21</td>\n",
              "      <td>1555280</td>\n",
              "      <td>1952</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>503 rows × 8 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-db364579-632a-4ba3-a70f-d5073bf7385b')\"\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-db364579-632a-4ba3-a70f-d5073bf7385b 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-db364579-632a-4ba3-a70f-d5073bf7385b');\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-a07c15c6-beb3-47f9-9e24-feb77ea8e533\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a07c15c6-beb3-47f9-9e24-feb77ea8e533')\"\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-a07c15c6-beb3-47f9-9e24-feb77ea8e533 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pd.read_html('https://en.wikipedia.org/wiki/2023_World_Judo_Championships')[3]"
      ],
      "metadata": {
        "outputId": "99427c4d-870b-4d67-b996-7476a4ba1a3b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 801
        },
        "id": "_erxqNNgDVCh"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                   Rank                          Nation  Gold  Silver  Bronze  \\\n",
              "0                     1                           Japan     6       2       4   \n",
              "1                     2                          France     2       4       2   \n",
              "2                     3                         Georgia     2       1       2   \n",
              "3                     –  Individual Neutral Athletes[a]     2       0       0   \n",
              "4                     4                          Israel     1       0       2   \n",
              "5                     5                          Canada     1       0       1   \n",
              "6                     6                           Spain     1       0       0   \n",
              "7                     6                     Switzerland     1       0       0   \n",
              "8                     8                      Uzbekistan     0       2       2   \n",
              "9                     9                           Italy     0       1       3   \n",
              "10                   10                         Belgium     0       1       0   \n",
              "11                   10                  Czech Republic     0       1       0   \n",
              "12                   10                         Germany     0       1       0   \n",
              "13                   10                        Slovenia     0       1       0   \n",
              "14                   14                     Netherlands     0       0       3   \n",
              "15                   15                          Brazil     0       0       2   \n",
              "16                   15                        Mongolia     0       0       2   \n",
              "17                   15                     South Korea     0       0       2   \n",
              "18                   18                         Austria     0       0       1   \n",
              "19                   18                      Azerbaijan     0       0       1   \n",
              "20                   18                         Croatia     0       0       1   \n",
              "21                   18                         Hungary     0       0       1   \n",
              "22                   18                          Sweden     0       0       1   \n",
              "23  Totals (22 entries)             Totals (22 entries)    16      14      30   \n",
              "\n",
              "    Total  \n",
              "0      12  \n",
              "1       8  \n",
              "2       5  \n",
              "3       2  \n",
              "4       3  \n",
              "5       2  \n",
              "6       1  \n",
              "7       1  \n",
              "8       4  \n",
              "9       4  \n",
              "10      1  \n",
              "11      1  \n",
              "12      1  \n",
              "13      1  \n",
              "14      3  \n",
              "15      2  \n",
              "16      2  \n",
              "17      2  \n",
              "18      1  \n",
              "19      1  \n",
              "20      1  \n",
              "21      1  \n",
              "22      1  \n",
              "23     60  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-a027bf7d-b2c1-4c51-8345-a9de4333f6fd\" 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>Rank</th>\n",
              "      <th>Nation</th>\n",
              "      <th>Gold</th>\n",
              "      <th>Silver</th>\n",
              "      <th>Bronze</th>\n",
              "      <th>Total</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>Japan</td>\n",
              "      <td>6</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>France</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>Georgia</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>–</td>\n",
              "      <td>Individual Neutral Athletes[a]</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>Israel</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>5</td>\n",
              "      <td>Canada</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>6</td>\n",
              "      <td>Spain</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>6</td>\n",
              "      <td>Switzerland</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>8</td>\n",
              "      <td>Uzbekistan</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>9</td>\n",
              "      <td>Italy</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>10</td>\n",
              "      <td>Belgium</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>10</td>\n",
              "      <td>Czech Republic</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>10</td>\n",
              "      <td>Germany</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>10</td>\n",
              "      <td>Slovenia</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>14</td>\n",
              "      <td>Netherlands</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>15</td>\n",
              "      <td>Brazil</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>15</td>\n",
              "      <td>Mongolia</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>15</td>\n",
              "      <td>South Korea</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>18</td>\n",
              "      <td>Austria</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>18</td>\n",
              "      <td>Azerbaijan</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>18</td>\n",
              "      <td>Croatia</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>18</td>\n",
              "      <td>Hungary</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>18</td>\n",
              "      <td>Sweden</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>Totals (22 entries)</td>\n",
              "      <td>Totals (22 entries)</td>\n",
              "      <td>16</td>\n",
              "      <td>14</td>\n",
              "      <td>30</td>\n",
              "      <td>60</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-a027bf7d-b2c1-4c51-8345-a9de4333f6fd')\"\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-a027bf7d-b2c1-4c51-8345-a9de4333f6fd 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-a027bf7d-b2c1-4c51-8345-a9de4333f6fd');\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-1a0f177a-dce0-4320-83b6-11a62fe17ccb\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-1a0f177a-dce0-4320-83b6-11a62fe17ccb')\"\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-1a0f177a-dce0-4320-83b6-11a62fe17ccb button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pd.read_html('https://www.judodata.com/statistics/')[0]"
      ],
      "metadata": {
        "outputId": "c94a0d0c-df70-4457-ff3a-f62c6dce2e58",
        "colab": {
          "base_uri": "https://localhost:8080/",
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              "                0            1           2              3            4  \\\n",
              "0             NaN  Ippon-gachi  Sogo-gachi  Hansoku-gachi  Fusen-gachi   \n",
              "1      Grand Prix         3897        1529           1119           17   \n",
              "2      Grand Slam         9230        3639           3338           61   \n",
              "3         Masters          941         464            347            9   \n",
              "4  World Champion         2053         758            563            9   \n",
              "5  Olympics Games          NaN         NaN            NaN          NaN   \n",
              "6           Total        17213        6841           5629          106   \n",
              "\n",
              "             5  \n",
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          },
          "metadata": {},
          "execution_count": 27
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "mma=pd.read_html('https://www.olympedia.org/lists/231/manual')[0]\n",
        "mma"
      ],
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        "outputId": "5f434546-4094-48a1-ed83-074f1258a27a",
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        "id": "opde8mSIFpbZ"
      },
      "execution_count": 33,
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "                  Athlete Nation(s) Sport(s)           Role(s)          Era  \\\n",
              "0            Stephen Abas       USA      WRE          Olympics         2004   \n",
              "1        Hamdy Abdelwahab       EGY      WRE    Olympics / YOG  2010â2016   \n",
              "2    Bekzod Abdurakhmonov       UZB      WRE          Olympics  2016â2020   \n",
              "3       Migran Arutyunyan       ARM      WRE          Olympics         2016   \n",
              "4              Ben Askren       USA      WRE          Olympics         2008   \n",
              "..                    ...       ...      ...               ...          ...   \n",
              "100       Herschel Walker       USA      BOB          Olympics         1992   \n",
              "101      Andrzej WroÅski       POL      WRE  Olympics / Other  1988â2000   \n",
              "102        Yoshiaki Yatsu       JPN      WRE          Olympics         1976   \n",
              "103      Hidehiko Yoshida       JPN      JUD          Olympics  1992â2000   \n",
              "104          Rizlen Zouak       MAR      JUD          Olympics  2012â2016   \n",
              "\n",
              "     Notes  \n",
              "0      NaN  \n",
              "1      NaN  \n",
              "2      NaN  \n",
              "3      NaN  \n",
              "4      NaN  \n",
              "..     ...  \n",
              "100    NaN  \n",
              "101    NaN  \n",
              "102    NaN  \n",
              "103    NaN  \n",
              "104    NaN  \n",
              "\n",
              "[105 rows x 6 columns]"
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              "      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-754a1c6a-c3a2-4b16-9bb6-4a33fe9ef5d0 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-754a1c6a-c3a2-4b16-9bb6-4a33fe9ef5d0');\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-e09b5488-4884-4548-8a97-0360f32fde78\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e09b5488-4884-4548-8a97-0360f32fde78')\"\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-e09b5488-4884-4548-8a97-0360f32fde78 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "m=mma.groupby('Sport(s)').agg('count')\n",
        "m=(m[['Athlete']]).sort_values(by='Athlete')\n",
        "m"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "7M5Zsf8DJ57-",
        "outputId": "f63049bd-6403-45bd-d080-db38b5244e2e"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          Athlete\n",
              "Sport(s)         \n",
              "ATH             1\n",
              "BKB             1\n",
              "SWM             1\n",
              "WLF             1\n",
              "BOB             2\n",
              "FBL             2\n",
              "TKW             3\n",
              "BOX             8\n",
              "JUD            23\n",
              "WRE            63"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-9a0bd96c-92db-4836-a0d1-622889401c5e\" 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>Athlete</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Sport(s)</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>ATH</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BKB</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SWM</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>WLF</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BOB</th>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>FBL</th>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TKW</th>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BOX</th>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>JUD</th>\n",
              "      <td>23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>WRE</th>\n",
              "      <td>63</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-9a0bd96c-92db-4836-a0d1-622889401c5e')\"\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",
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              "      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-9a0bd96c-92db-4836-a0d1-622889401c5e 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-9a0bd96c-92db-4836-a0d1-622889401c5e');\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-22c77518-1645-4025-8fd1-1ac5b5e9ea16\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-22c77518-1645-4025-8fd1-1ac5b5e9ea16')\"\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-22c77518-1645-4025-8fd1-1ac5b5e9ea16 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "m.plot(kind='bar')"
      ],
      "metadata": {
        "id": "wXDAGurvNkWl",
        "outputId": "c5f9602e-924f-4256-ef6c-31a3d29d163f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 488
        }
      },
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Sport(s)'>"
            ]
          },
          "metadata": {},
          "execution_count": 53
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TaBOVurVO6TL",
        "outputId": "73c441af-f161-4b5d-ad11-5d6e662320a8"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "100\n",
            "Ваше число:50?(да = 1, больше = 2, меньше = 3)3\n",
            "Ваше число:25?(да = 1, больше = 2, меньше = 3)3\n",
            "Ваше число:12?(да = 1, больше = 2, меньше = 3)3\n",
            "Ваше число:6?(да = 1, больше = 2, меньше = 3)3\n",
            "Ваше число:3?(да = 1, больше = 2, меньше = 3)1\n",
            "Угадал!\n"
          ]
        }
      ],
      "source": [
        "left = 1\n",
        "right = int(input())\n",
        "while True:\n",
        "    current = (left+right)//2\n",
        "    is_right = input('Ваше число:{}?(да = 1, больше = 2, меньше = 3)'.format(current))\n",
        "    if is_right.lower() == '1':\n",
        "        print('Угадал!')\n",
        "        break\n",
        "    elif is_right=='2':\n",
        "        left = current + 1\n",
        "    else:\n",
        "        right = current - 1"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "left=1\n",
        "right=100\n",
        "d=2\n",
        "n = np.random.randint(left, right, size=1)\n",
        "print('Ваше число:{}'.format(int(n)))\n",
        "pase =0\n",
        "past = []\n",
        "while True:\n",
        "  pase +=1\n",
        "  current = np.random.randint(left, right)\n",
        "\n",
        "  if current not in past:\n",
        "    #print(past)\n",
        "    past.append(current)\n",
        "\n",
        "    if current==n:\n",
        "      print('Угадал! Число = ', current)\n",
        "      print('Шагов',pase)\n",
        "      break\n",
        "    elif current<n:\n",
        "      print(current, \"Меньше\")\n",
        "    else:\n",
        "      print(current, \"Больше\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ihnR5TzUX2TD",
        "outputId": "f022dd54-a0a2-4f5d-f630-c89a2459d127"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Ваше число:52\n",
            "58 Больше\n",
            "43 Меньше\n",
            "33 Меньше\n",
            "73 Больше\n",
            "26 Меньше\n",
            "38 Меньше\n",
            "24 Меньше\n",
            "98 Больше\n",
            "72 Больше\n",
            "20 Меньше\n",
            "50 Меньше\n",
            "80 Больше\n",
            "5 Меньше\n",
            "78 Больше\n",
            "62 Больше\n",
            "79 Больше\n",
            "83 Больше\n",
            "82 Больше\n",
            "60 Больше\n",
            "74 Больше\n",
            "69 Больше\n",
            "65 Больше\n",
            "Угадал! Число =  52\n",
            "Шагов 28\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "left=1\n",
        "right=100\n",
        "d=2\n",
        "n = np.random.randint(left, right, size=1)\n",
        "print('Ваше число:{}'.format(int(n)))\n",
        "pase =0\n",
        "while True:\n",
        "  pase +=1\n",
        "  current = (left+right)//d\n",
        "  if current==n:\n",
        "      print('Угадал! Число = ', current)\n",
        "      print('Шагов',pase)\n",
        "      break\n",
        "  elif current<n:\n",
        "    print(current, \"Меньше\")\n",
        "    left = current + 1\n",
        "  else:\n",
        "    print(current, \"Больше\")\n",
        "    right = current - 1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wTYKpvi1QEE1",
        "outputId": "9ad20dbd-2f9e-4ad2-8ea0-bc8ec62a5a9a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Ваше число:9\n",
            "50 Больше\n",
            "25 Больше\n",
            "12 Больше\n",
            "6 Меньше\n",
            "Угадал! Число =  9\n",
            "Шагов 5\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def prognos(left, right, d =2):\n",
        "  n = np.random.randint(left, right)\n",
        "  print('Ваше число:{}'.format(int(n)))\n",
        "  pase =0\n",
        "  while True:\n",
        "    pase +=1\n",
        "    current = (left+right)//d\n",
        "    #print(current, \"New\")\n",
        "    if current==n:\n",
        "      print('Угадал! Число = ', current)\n",
        "      print('Шагов',pase)\n",
        "      break\n",
        "    elif current<n:\n",
        "      print(current, \"Меньше\")\n",
        "      left = current + 1\n",
        "    else:\n",
        "      print(current, \"Больше\")\n",
        "      right = current - 1"
      ],
      "metadata": {
        "id": "owaJ5vfNU3j8"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "prognos(2, 100, 2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Uy2l3hPBW8_8",
        "outputId": "e6148d16-e683-4097-cfe8-f238a61e9398"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Ваше число:69\n",
            "51 New\n",
            "51 Меньше\n",
            "76 New\n",
            "76 Больше\n",
            "63 New\n",
            "63 Меньше\n",
            "69 New\n",
            "Угадал! Число =  69\n",
            "Шагов 4\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "prognos(2, 20, 1.5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2a_7xclwXMqy",
        "outputId": "ca5d1539-2b2d-4d2d-ad13-d2536f2c2143"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Ваше число:14\n",
            "Угадал! Число =  14.0\n",
            "Шагов 1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "prognos(2, 20)"
      ],
      "metadata": {
        "id": "IElM_c4_SVxG",
        "outputId": "23b9407b-b054-4c55-dfce-7a02af39b1b6",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Ваше число:17\n",
            "11 Меньше\n",
            "16 Меньше\n",
            "18 Больше\n",
            "Угадал! Число =  17\n",
            "Шагов 4\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "prognos(2, 20, 3)"
      ],
      "metadata": {
        "id": "-upgLvSTUHNm",
        "outputId": "c579e53f-5c6d-4da9-d062-39e2592bb0ff",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Ваше число:9\n",
            "7 Меньше\n",
            "Угадал! Число =  9\n",
            "Шагов 2\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "_w1yoI9nUl5B"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def prognos1(left, right, d =2):\n",
        "  n = np.random.randint(left, right)\n",
        "  print('Ваше число:{}'.format(int(n)))\n",
        "  pase =0\n",
        "  while True:\n",
        "    pase +=1\n",
        "    #current = math.ceil((left+right)/d)\n",
        "    current = math.floor((left+right)/d)\n",
        "    #print(current, \"New\")\n",
        "    if current==n:\n",
        "      print('Угадал! Число = ', current)\n",
        "      print('Шагов',pase)\n",
        "      break\n",
        "    elif current<n:\n",
        "      print(current, \"Меньше\")\n",
        "      left = current + 1\n",
        "    else:\n",
        "      print(current, \"Больше\")\n",
        "      right = current - 1"
      ],
      "metadata": {
        "id": "EM9L1x_mUmM7"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "prognos1(2, 20, 3)"
      ],
      "metadata": {
        "id": "Fjdht9b8UMa2",
        "outputId": "6afbcd63-f9dc-4e99-b260-0660e7e328ee",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1;30;43mВыходные данные были обрезаны до нескольких последних строк (5000).\u001b[0m\n",
            "3 Меньше\n",
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            "3 Меньше\n",
            "3 Меньше\n",
            "3 Меньше\n",
            "3 Меньше\n",
            "3 Меньше\n",
            "3 Меньше\n",
            "3 Меньше\n",
            "3 Меньше\n",
            "3 Меньше\n",
            "3 Меньше\n",
            "3 Меньше\n",
            "3 Меньше\n",
            "3 Меньше\n",
            "3 Меньше\n",
            "3 Меньше"
          ]
        },
        {
          "output_type": "error",
          "ename": "KeyboardInterrupt",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-27-484724edf3e2>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mprognos1\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m20\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m3\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<ipython-input-26-936864abb077>\u001b[0m in \u001b[0;36mprognos1\u001b[0;34m(left, right, d)\u001b[0m\n\u001b[1;32m     13\u001b[0m       \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m     \u001b[0;32melif\u001b[0m \u001b[0mcurrent\u001b[0m\u001b[0;34m<\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 15\u001b[0;31m       \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcurrent\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"Меньше\"\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     16\u001b[0m       \u001b[0mleft\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcurrent\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     17\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/usr/local/lib/python3.10/dist-packages/ipykernel/iostream.py\u001b[0m in \u001b[0;36mwrite\u001b[0;34m(self, string)\u001b[0m\n\u001b[1;32m    400\u001b[0m             \u001b[0mis_child\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_is_master_process\u001b[0m\u001b[0;34m(\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    401\u001b[0m             \u001b[0;31m# only touch the buffer in the IO thread to avoid races\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 402\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpub_thread\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mschedule\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0;34m:\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_buffer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstring\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[1;32m    403\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mis_child\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    404\u001b[0m                 \u001b[0;31m# mp.Pool cannot be trusted to flush promptly (or ever),\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/ipykernel/iostream.py\u001b[0m in \u001b[0;36mschedule\u001b[0;34m(self, f)\u001b[0m\n\u001b[1;32m    201\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_events\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\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[0m\n\u001b[1;32m    202\u001b[0m             \u001b[0;31m# wake event thread (message content is ignored)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 203\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_event_pipe\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mb''\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    204\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    205\u001b[0m             \u001b[0mf\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[0;32m/usr/local/lib/python3.10/dist-packages/zmq/sugar/socket.py\u001b[0m in \u001b[0;36msend\u001b[0;34m(self, data, flags, copy, track, routing_id, group)\u001b[0m\n\u001b[1;32m    616\u001b[0m                 )\n\u001b[1;32m    617\u001b[0m             \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroup\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgroup\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 618\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mflags\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mflags\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[0mtrack\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtrack\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    619\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    620\u001b[0m     def send_multipart(\n",
            "\u001b[0;32mzmq/backend/cython/socket.pyx\u001b[0m in \u001b[0;36mzmq.backend.cython.socket.Socket.send\u001b[0;34m()\u001b[0m\n",
            "\u001b[0;32mzmq/backend/cython/socket.pyx\u001b[0m in \u001b[0;36mzmq.backend.cython.socket.Socket.send\u001b[0;34m()\u001b[0m\n",
            "\u001b[0;32mzmq/backend/cython/socket.pyx\u001b[0m in \u001b[0;36mzmq.backend.cython.socket._send_copy\u001b[0;34m()\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/zmq/backend/cython/checkrc.pxd\u001b[0m in \u001b[0;36mzmq.backend.cython.checkrc._check_rc\u001b[0;34m()\u001b[0m\n",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
          ]
        }
      ]
    }
  ]
}