{
 "cells": [
  {
   "cell_type": "code",
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   "id": "42a5aacc-5e39-4262-99dc-f4fc3a2c58a4",
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   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Имя</th>\n",
       "      <th>Возраст</th>\n",
       "      <th>Баллы</th>\n",
       "      <th>Категория</th>\n",
       "      <th>Прогноз_балла</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Анна</td>\n",
       "      <td>21</td>\n",
       "      <td>89</td>\n",
       "      <td>A</td>\n",
       "      <td>106.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Борис</td>\n",
       "      <td>22</td>\n",
       "      <td>76</td>\n",
       "      <td>B</td>\n",
       "      <td>91.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Виктор</td>\n",
       "      <td>23</td>\n",
       "      <td>95</td>\n",
       "      <td>A</td>\n",
       "      <td>114.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Галина</td>\n",
       "      <td>24</td>\n",
       "      <td>82</td>\n",
       "      <td>B</td>\n",
       "      <td>98.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Дмитрий</td>\n",
       "      <td>21</td>\n",
       "      <td>91</td>\n",
       "      <td>A</td>\n",
       "      <td>109.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Елена</td>\n",
       "      <td>25</td>\n",
       "      <td>88</td>\n",
       "      <td>C</td>\n",
       "      <td>105.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Имя  Возраст  Баллы Категория  Прогноз_балла\n",
       "0     Анна       21     89         A          106.8\n",
       "1    Борис       22     76         B           91.2\n",
       "2   Виктор       23     95         A          114.0\n",
       "3   Галина       24     82         B           98.4\n",
       "4  Дмитрий       21     91         A          109.2\n",
       "5    Елена       25     88         C          105.6"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Создаем расширенный DataFrame (с добавлением категории)\n",
    "data = {\n",
    "    \"Имя\": [\"Анна\", \"Борис\", \"Виктор\", \"Галина\", \"Дмитрий\", \"Елена\"],\n",
    "    \"Возраст\": [21, 22, 23, 24, 21, 25],\n",
    "    \"Баллы\": [89, 76, 95, 82, 91, 88],\n",
    "    \"Категория\": [\"A\", \"B\", \"A\", \"B\", \"A\", \"C\"]\n",
    "}\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "# 1. Добавляем новый столбец с коэффициентом 1.2 (отличие от примера)\n",
    "df[\"Прогноз_балла\"] = df[\"Баллы\"] * 1.2\n",
    "\n",
    "# 2. Группировка данных по категории\n",
    "grouped = df.groupby(\"Категория\").agg({\"Баллы\": [\"mean\", \"max\"]})\n",
    "\n",
    "# 3. Фильтрация\n",
    "filtered_df = df[df[\"Баллы\"] > 85]\n",
    "\n",
    "# Вывод результата в последней строке\n",
    "df"
   ]
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   "source": []
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