1265 lines
443 KiB
Plaintext
1265 lines
443 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "05f9e335-cc95-41f5-b676-1973cbdfcc2b",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Hello, World!\n"
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]
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}
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],
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"source": [
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"# Напечатаем \"Hello, World!\"\n",
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"print(\"Hello, World!\")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "b6f59955-12db-4a2c-b89e-fe2705812745",
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"metadata": {},
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"source": [
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"# Заголовок 1\n",
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"## Заголовок 2\n",
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"\n",
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"- Список\n",
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"- Элементы\n",
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"\n",
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"**Жирный текст**, *курсив*.\n",
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"\n",
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"Формула: $E=mc^2$\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "81bbe66d-663a-4b9f-bb3d-662784e80125",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[2 4 6]\n"
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]
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}
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],
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"source": [
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"import numpy as np\n",
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"x = np.array([1, 2, 3])\n",
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"print(x * 2)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "1218f6e3-74f7-451a-b1c9-6b8a93b8afda",
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"metadata": {},
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"source": [
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"# Анализ данных\n",
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"## Загрузка данных\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "15d64548-c726-4dc4-b7a5-58d6dfcaf0ff",
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"metadata": {},
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"source": [
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"## Работа с pandas и numpy"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "4f1bd4ed-5c99-441f-b34b-25126f6da486",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Первый взгляд на данные:\n",
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" Имя Возраст Баллы\n",
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"0 Анна 21 89\n",
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"1 Борис 22 76\n",
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"2 Виктор 23 95\n",
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"3 Галина 24 82\n",
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"<class 'pandas.core.frame.DataFrame'>\n",
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"RangeIndex: 4 entries, 0 to 3\n",
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"Data columns (total 3 columns):\n",
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" # Column Non-Null Count Dtype \n",
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"--- ------ -------------- ----- \n",
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" 0 Имя 4 non-null object\n",
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" 1 Возраст 4 non-null int64 \n",
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" 2 Баллы 4 non-null int64 \n",
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"dtypes: int64(2), object(1)\n",
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"memory usage: 228.0+ bytes\n",
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"None\n",
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" Возраст Баллы\n",
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"count 4.000000 4.000000\n",
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"mean 22.500000 85.500000\n",
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"std 1.290994 8.266398\n",
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"min 21.000000 76.000000\n",
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"25% 21.750000 80.500000\n",
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"50% 22.500000 85.500000\n",
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"75% 23.250000 90.500000\n",
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"max 24.000000 95.000000\n",
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"Имя 0\n",
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"Возраст 0\n",
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"Баллы 0\n",
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"dtype: int64\n"
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]
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}
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],
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"source": [
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"import pandas as pd\n",
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"\n",
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"# Создадим DataFrame\n",
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"data = {\n",
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" \"Имя\": [\"Анна\", \"Борис\", \"Виктор\", \"Галина\"],\n",
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" \"Возраст\": [21, 22, 23, 24],\n",
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" \"Баллы\": [89, 76, 95, 82]\n",
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"}\n",
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"df = pd.DataFrame(data)\n",
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"\n",
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"print(\"Первый взгляд на данные:\")\n",
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"print(df.head())\n",
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"print(df.info())\n",
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"print(df.describe())\n",
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"print(df.isnull().sum())"
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]
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},
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{
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"cell_type": "code",
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||
"execution_count": 6,
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||
"id": "75ac88aa-83f5-45f3-868a-3d9e94bec938",
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||
"metadata": {},
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||
"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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||
" }\n",
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"\n",
|
||
" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
|
||
" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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||
"</style>\n",
|
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Имя</th>\n",
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" <th>Возраст</th>\n",
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" <th>Баллы</th>\n",
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" <th>Новый_столбец</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>Анна</td>\n",
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" <td>21</td>\n",
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" <td>89</td>\n",
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" <td>97.9</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>Борис</td>\n",
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" <td>22</td>\n",
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" <td>76</td>\n",
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" <td>83.6</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>Виктор</td>\n",
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" <td>23</td>\n",
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" <td>95</td>\n",
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" <td>104.5</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>Галина</td>\n",
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" <td>24</td>\n",
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" <td>82</td>\n",
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" <td>90.2</td>\n",
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||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
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||
"</div>"
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||
],
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"text/plain": [
|
||
" Имя Возраст Баллы Новый_столбец\n",
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||
"0 Анна 21 89 97.9\n",
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"1 Борис 22 76 83.6\n",
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||
"2 Виктор 23 95 104.5\n",
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||
"3 Галина 24 82 90.2"
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||
]
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||
},
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||
"execution_count": 6,
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||
"metadata": {},
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||
"output_type": "execute_result"
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||
}
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||
],
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"source": [
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"df[\"Новый_столбец\"] = df[\"Баллы\"] * 1.1\n",
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"df\n"
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]
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},
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{
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||
"cell_type": "code",
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||
"execution_count": 7,
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||
"id": "bcacaa27-7bf4-4eac-bb1d-1380642ec96f",
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||
"metadata": {},
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||
"outputs": [
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||
{
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||
"data": {
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||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
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||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
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||
" }\n",
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||
"\n",
|
||
" .dataframe thead tr th {\n",
|
||
" text-align: left;\n",
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||
" }\n",
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||
"\n",
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||
" .dataframe thead tr:last-of-type th {\n",
|
||
" text-align: right;\n",
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||
" }\n",
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||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr>\n",
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" <th></th>\n",
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" <th colspan=\"2\" halign=\"left\">Баллы</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th></th>\n",
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" <th>mean</th>\n",
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" <th>max</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Категория</th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>A</th>\n",
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" <td>92.0</td>\n",
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" <td>95</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>B</th>\n",
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" <td>79.0</td>\n",
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" <td>82</td>\n",
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||
" </tr>\n",
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||
" </tbody>\n",
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||
"</table>\n",
|
||
"</div>"
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||
],
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||
"text/plain": [
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||
" Баллы \n",
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||
" mean max\n",
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||
"Категория \n",
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||
"A 92.0 95\n",
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||
"B 79.0 82"
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||
]
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||
},
|
||
"execution_count": 7,
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||
"metadata": {},
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||
"output_type": "execute_result"
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||
}
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||
],
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||
"source": [
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||
"# Добавим категории для группировки\n",
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"df[\"Категория\"] = [\"A\", \"B\", \"A\", \"B\"]\n",
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"grouped = df.groupby(\"Категория\").agg({\"Баллы\": [\"mean\", \"max\"]})\n",
|
||
"grouped"
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||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 8,
|
||
"id": "8a35f9d7-8d0e-487e-96d5-f97dfbf51862",
|
||
"metadata": {},
|
||
"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",
|
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" <thead>\n",
|
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" <tr style=\"text-align: right;\">\n",
|
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" <th></th>\n",
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" <th>Имя</th>\n",
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" <th>Возраст</th>\n",
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" <th>Баллы</th>\n",
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" <th>Новый_столбец</th>\n",
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" <th>Категория</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>Борис</td>\n",
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" <td>22</td>\n",
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" <td>76</td>\n",
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" <td>83.6</td>\n",
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" <td>B</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>Виктор</td>\n",
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" <td>23</td>\n",
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" <td>95</td>\n",
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" <td>104.5</td>\n",
|
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" <td>A</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>Галина</td>\n",
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" <td>24</td>\n",
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" <td>82</td>\n",
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" <td>90.2</td>\n",
|
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" <td>B</td>\n",
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" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
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||
],
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||
"text/plain": [
|
||
" Имя Возраст Баллы Новый_столбец Категория\n",
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"1 Борис 22 76 83.6 B\n",
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"2 Виктор 23 95 104.5 A\n",
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"3 Галина 24 82 90.2 B"
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]
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||
},
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||
"execution_count": 8,
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||
"metadata": {},
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||
"output_type": "execute_result"
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||
}
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||
],
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||
"source": [
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"df[df[\"Возраст\"] > 21]"
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]
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||
},
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||
{
|
||
"cell_type": "code",
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||
"execution_count": 9,
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||
"id": "5dc63812-f408-43e2-8aa6-f74e33869778",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
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||
"name": "stdout",
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||
"output_type": "stream",
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||
"text": [
|
||
"Сумма элементов массива: 15\n",
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||
"Среднее значение: 3.0\n",
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||
"Медиана: 3.0\n",
|
||
"Стандартное отклонение: 1.4142135623730951\n"
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||
]
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||
}
|
||
],
|
||
"source": [
|
||
"import numpy as np\n",
|
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"\n",
|
||
"arr = np.array([1, 2, 3, 4, 5])\n",
|
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"print(\"Сумма элементов массива:\", np.sum(arr))\n",
|
||
"print(\"Среднее значение:\", np.mean(arr))\n",
|
||
"print(\"Медиана:\", np.median(arr))\n",
|
||
"print(\"Стандартное отклонение:\", np.std(arr))\n"
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||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"id": "6be7edd1-323b-49e4-891e-b0780ca78aad",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Матрица:\n",
|
||
" [[1 2]\n",
|
||
" [3 4]]\n",
|
||
"Произведение матриц:\n",
|
||
" [[ 7 10]\n",
|
||
" [15 22]]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Создаем матрицу 2x2\n",
|
||
"matrix = np.array([[1, 2], [3, 4]])\n",
|
||
"print(\"Матрица:\\n\", matrix)\n",
|
||
"print(\"Произведение матриц:\\n\", np.dot(matrix, matrix))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 12,
|
||
"id": "49252a5a-24dc-41fa-9bf1-0b945fe7c370",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Равномерные значения: [ 0. 2.5 5. 7.5 10. ]\n",
|
||
"Случайные числа: [-0.99645984 -2.05825786 -0.10075374 -0.65218543 -0.78365857]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Генерируем 5 равномерно распределенных чисел от 0 до 10\n",
|
||
"linear_space = np.linspace(0, 10, 5)\n",
|
||
"print(\"Равномерные значения:\", linear_space)\n",
|
||
"\n",
|
||
"# Генерируем 5 случайных чисел из стандартного нормального распределения\n",
|
||
"random_numbers = np.random.randn(5)\n",
|
||
"print(\"Случайные числа:\", random_numbers)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "a391c052-926b-445a-846c-b70df0fdd7d9",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Визуализация данных\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 14,
|
||
"id": "bec8964a-9654-4fa9-8ab5-19ee0395b7a5",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import matplotlib.pyplot as plt\n",
|
||
"\n",
|
||
"x = np.linspace(0, 10, 100)\n",
|
||
"y = np.sin(x)\n",
|
||
"\n",
|
||
"plt.plot(x, y, label='sin(x)')\n",
|
||
"plt.xlabel(\"X\")\n",
|
||
"plt.ylabel(\"Y\")\n",
|
||
"plt.title(\"График синуса\")\n",
|
||
"plt.legend()\n",
|
||
"plt.grid()\n",
|
||
"plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 15,
|
||
"id": "cfdd1fb0-e746-46f6-b204-7badfeee549b",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import matplotlib.pyplot as plt\n",
|
||
"import numpy as np\n",
|
||
"\n",
|
||
"x = np.linspace(0, 10, 100)\n",
|
||
"y_sin = np.sin(x)\n",
|
||
"y_cos = np.cos(x)\n",
|
||
"\n",
|
||
"# Строим графики с разными цветами и подписями\n",
|
||
"plt.plot(x, y_sin, color='red', label='sin(x)')\n",
|
||
"plt.plot(x, y_cos, color='blue', linestyle='--', label='cos(x)')\n",
|
||
"\n",
|
||
"# Добавляем подписи и легенду\n",
|
||
"plt.xlabel(\"Ось X\")\n",
|
||
"plt.ylabel(\"Ось Y\")\n",
|
||
"plt.title(\"Графики синуса и косинуса\")\n",
|
||
"plt.legend()\n",
|
||
"plt.grid(True)\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 16,
|
||
"id": "4f4130c2-d61f-492e-905c-a829936157c7",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Столбчатая диаграмма (bar)\n",
|
||
"plt.bar([\"A\", \"B\", \"C\"], [3, 7, 2], color=['red', 'green', 'blue'])\n",
|
||
"plt.title(\"Пример bar-графика\")\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"# Точечный график (scatter)\n",
|
||
"x = np.random.rand(50)\n",
|
||
"y = x + np.random.normal(0, 0.1, 50)\n",
|
||
"plt.scatter(x, y, alpha=0.6)\n",
|
||
"plt.title(\"Точечный график\")\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"# Гистограмма (hist)\n",
|
||
"data = np.random.randn(1000)\n",
|
||
"plt.hist(data, bins=30, edgecolor='black')\n",
|
||
"plt.title(\"Гистограмма распределения\")\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 19,
|
||
"id": "2c54ad21-ccc1-4654-a675-24df437ceae3",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import seaborn as sns\n",
|
||
"\n",
|
||
"df[\"Категория\"] = [\"A\", \"B\", \"A\", \"B\"] # догадайтесь откуда df и её содержимое взялось\n",
|
||
"sns.boxplot(x=\"Категория\", y=\"Баллы\", data=df)\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 23,
|
||
"id": "1e0a02bf-009f-4220-aa71-4344db9dbfd3",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\alexe\\AppData\\Local\\Temp\\ipykernel_9644\\225627229.py:16: FutureWarning: \n",
|
||
"\n",
|
||
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
|
||
"\n",
|
||
" sns.boxplot(x=\"Категория\", y=\"Баллы\", data=df, palette=\"pastel\")\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x500 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x500 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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vf/zxR+/Qe+nJzD6BXMvpYSIAZM7EiROtm2++2YqOjrYiIiKs4sWLW23btrW++eabFMv+9NNP1lVXXWWGQtLldRix+fPnpxjCSYcq8h3iTLepw1n5b1Pn6XBMq1evTne4Ix3m6N///rdVtWpVM7RWuXLlzHBOO3bsSDFM0969e9McMsoelizQ8EtpzZ8xY4Z1+eWXW1FRUVbJkiWtu+66K9mQULZNmzZZnTt3Nq87f/78Zsi3oUOHZmlYskDt+O2331oZsWjRIrO8tokOt9a+fXtr48aNyZY5duyY1adPHzOEWeHChc17v3nz5mTHpe97jRo1rBEjRljx8fHJ1vcfluzRRx81Q7PNmzcvxfH4D0umTp48aYbQ0vNJ39eaNWtaL730UophsHzbQc8Zff9vu+026/fff0+3HXR4vZEjR3rPHR2mbvDgwcmG0gvGsGS+x6jt2aZNGzPEW2Zf79KlS61rrrnGvN96rlWpUsW6//77TVv7t7uu+/LLL5vXpMvqeuvXr0+2Tz1H7fOxWLFi1h133GHt27cv4FBvOpyeDk9WunRps71q1apZDz/8cIr3Pb1hyTKzTyA34tbCAABkM+0h1m8PdOSKp59+2unDAfIcangBAADgagReAAAAuBqBFwAAAK5GDS8AAABcjR5eAAAAuBqBFwAAAK7GjSdSuTPSvn37zK0kQ3E/dwAAAGSOVuXqrb+jo6PN3QfTQuANQMNuxYoVnT4MAAAApOOvv/4yd3FMC4E3AO3ZtRtQb7mY3fRWjnobR72tqN6CFKFBuzuDdncG7e4M2t0ZtHveaPeYmBjTQWnntrQQeAOwyxg07IYq8BYsWNDsi1/M0KHdnUG7O4N2dwbt7gzaPW+1uycD5adctAYAAABXI/ACAADA1Qi8AAAAcDVqeAEAAIIwRNa5c+ckMTFR8nINb0REhJw5cyYo7RAeHm62F4whYgm8AAAAF+Ds2bOyf/9+iYuLk7we+suVK2dGuQrWfQz0Irjy5ctLvnz5Lmg7BF4AALLBuaRESbSSvD9HCqMFuPVmVX/++afpjdQbIGgwy6s3rUpKSpLY2FgpXLhwujeCyEh41g8Shw8fNu1bs2bNC9omgRcAgCDRgBvuCZPj8XGy4tCfcvz0KSkgIssObJfm5WtIkXz5vcvAHTSUadDT8WC1NzIvS0pKMu2RP3/+Cw68qkCBAmZ4s127dnm3m1UEXgAAgiDJsmR37N/yze7/ysa/94kllkRYIm2kkHy1a4N8+ddGaXjRxdK+Uj0pX7AooddlghHwkH3tSuAFACAIYffXw7vk/a0rvGUMgZZZc+QvE4b71WkhdUuWJ/QCIcJvGgAAFyAxKUk2Hz8gU7YsTzXs+kpISpT/+/0H2XXyb7MugOxH4AUA4AKEh4XJjB2rJUmsDK9zzkqST/9YY9YFkP0c/U07efKkDBgwQCpXrmwKk5s3by6rVq3yzu/du7e50tF3uummm9Ld7ptvvilVqlQxxc1NmzaVlStXZvMrAQDkRdqju/XEQTlwOibT6/5x8ojsO3XclDrAvTTLdOrUKdlzOvLAZZddZjLKiRMnHDu2vMTRwHvffffJggUL5MMPP5SNGzdKmzZtpFWrVrJ3717vMhpwdWw7e5o+fXqa25wxY4Y8+eSTMnz4cFmzZo00aNBA2rZtK4cOHQrBKwIA5CVag7t0//Ysr79k/zbJmwNY5V0adm+88UbT0ffdd99JsWLFnD6kPMGxi9ZOnz4tn3/+ucyePVuuvfZa89yIESNkzpw5MnHiRHn++efNc1FRUWYQ44waP3683H///dKnTx/z+O2335a5c+fK5MmTZdCgQQHXiY+PN5MtJibGe8cQnbKbvY9Q7Av/oN2dQbs7g3bPPodjT5jRGAIJt5L/6+/QqRPm7lzIvee77kPHjNUhuXTyp/Ps+UeOHDEde5pt5s+fL0WKFDHPv/LKK/L+++/LH3/8ISVLlpRbbrlFxo4da8azXbJkibRs2TLV/dt3NPvxxx/l3//+t/z6669SqlQp06v8wgsvSKFChcz8atWqmeG9fGkH4UsvvWR+1uylGUpvGlG1alUZMmSI3HPPPd5ldZzhN954w+S0pUuXmptBvPjii3L77beb+Tt37pTq1avLsmXLzDf2+rqGDRsmo0ePNtt9/PHHzXKbN2+Wxx57zHyjb+ctDf1///13wNen29H203bWY/Bv+xwfeO3b7/mPqaafePRNs+kbXaZMGSlRooT5RKRB+KKLLgq4TR2jbfXq1TJ48OBkw1noybV8+fJUj2XMmDEycuTIFM/rJ69Qjqmnvd0IPdrdGbS7M2j34KtrpvOhIjUtj6cy/9gp+WbnN9lzYAjJ+a63vtWOOb3hguYQfxrKNPNoIOzYsaPJJZ999pn51w58up6GUy3x1OWefvppeeKJJ+Tll182pQ8aEpWWaPbs2dP7WOk29MYMN998swm8EyZMMMH6mWeekQceeMCUedrBUUOsrm/TjKPrf/3112Z/egzXX3+9CeN9+/Y14fuaa67xLq8BVr9B1yym36jfeeed5phr165tXr9vyap+W//qq6+aXKe3GrZfq5Z46M05vv32W5PnZs2aZXKYPd+fto12kmqQ9v9wmJk72zkWePVTTbNmzWTUqFFyySWXSNmyZU25ggbTGjVqeMsZbrvtNvNJY8eOHeaNateunVnGP+UrfYM1ROu2fOlj35PDnwZk/ZRj00bXAaS1xKJo0aKS3fSXQX8pW7dubQZYRmjQ7s6g3Z1Bu2ef1zctlh0njwScpz27GnYXFT8liQFqFy4rES331bk6+w8yjwnl+a5hTntFtTc20I0RdP8aBrt06SJbtmyRxo0bS4UKFZLlmH/961/enzXg6jYfeugheeedd8xz2mOr7JJPveuYL+151fDpu53XX39dbrjhBrON/P+7EYRux39du3e3V69e3izUqFEjWbdunXm+ffv23uXuuOMOeeSRR7zL/PDDD6ZnWkO1vn7fjKc91F27dpVFixaZ/dt5atOmTTJp0iS56qqrzGPt1NRrtFLLW9oWGpq1GsC/fVMLyTluHF6t3b333nu9b7w2Xo8ePUwvrerevbt32Xr16kn9+vVNd3l63fuZpV8t6BToJA3lH4ZQ7w/n0e7OoN2dQbsHlw4rVr90JdkSeyTt5Twi5wIE3oZlKklYeDijNeTi81072jSwaaAMdJMEnae9k5phNERed9118p///CfZt9ELFy40vZzaOachTnsyNejp5PtNs719//1s2LDBTNOmTfM+Z5dRaBnDJZdc4j2WQMf4+++/S79+/ZLNa9Gihemh9X1OSxV8H2vHpb4m/9e+du1a+fLLL03A18Dru1/txNRyVu3Q1NeW2mvyfc26fqD3MjPvraO/YRpetQ5EP/nopyPtqtdPZVpnEog+r59Otm8PfIGAztPgfPDgwWTP6+PM1AEDAJARGlRblKsukWEpv3VMT6GIfHJl6SqE3TxA84sGv0svvVTeeustc82SBlSlJQxas6uBWK9t0k4/uwwhUIlEIJqj+vfvb8KnPa1fv162bdtmslaoDRw40JRlaJ2vv/fee8+8du0F1l5hLbsIhRzxW6YF1doox44dM3UjWuMSyJ49e+To0aMBG1BpTYh+VaAnlU0/3ehj/RQCAECwRYVHyNVlMx8qro+uJWEM0ZAn6LfUdlmClgVo76bW0trXHmlW0Xpd/Zq/Vq1asm/fvkxtX78h/+2330xJqP+k2Sg92gP8008/JXtOH2tA97VixYoUj+3eY5vW5m7dutUE3kD0Nd56661yxRVXmJ7g5557TkLB0ZIGDbfa5a7Fztprq58I6tSpY0ZY0E8reiGZ1rxo76zW8GoBtr55OsyYTUsbOnfu7K0p0foTrUPRhmzSpIkp3j516pR31AYAAIKta7VGsi/uuGw9kbEhMOuXrCC3VKonYR4Sb16kPbhaq6s5R+tc9dttrbnt0KGDCZo6wlRmaO2uBknNQjrkq3YkagDWOmat702P5i89jssvv9xc6K8jMXzxxRem1MLXp59+avKVljt8/PHH5pt57bH19dprr5lSiNQu+tdebK371aBfqVIlU8Pr+h5eHWz54YcfNiFXP+loA2oI1poMLU3QLm/9FKCfdvRqQe291QJp33pbDcJ6sZqtW7dupjZGryRs2LCh6dafN29eigvZAAAIhvM3RhJ5/LIbpWnpKmmOq+sRj1xTroY8eOk/V74j79HRD/RiMr2wS+t0ddgu/VlDsAZJrefNDC2H0BJR7VnVURU0uGoOio6OztD6nTp1MiFV81PdunXl//7v/2TKlClmxAZfGtA/+eQTs7+pU6eawQb8e4G1Rlc7HgPR49NArrXGGnZDyWNpFyuS0YJxHRNOA3moRmn45ptvzJAiXEwSOrS7M2h3Z9Du2U//nGr4PXomVr7ft1V+ObRTTp89I22OFZIVZZKkafmqcn35WlI8qqB3WeT+810Dqw4LpkEv0CgNbuHxeMwQYv53jfOlpRmaoTQ7pXYRWjDbNzN5zdGSBgAA3MIOsCWjCkmXqg3ljmqNJP7sWZn37bfy3BW3SFhEuLkzm++yAEKDwAsAQLBLHP5X2OBbo2uHXQChR+AFAABAmnJ7BSwfNwEAAOBqBF4AAAC4GoEXAAAArkYNLwAAQC6UpMPbiUh80jnZHXtMTp87KwUi8kmlwiUkKux8xGNEkPMIvAAAALnwIrJ9cSfk+72bZdXhXXI2KdE7L19YuFxZurLcWKGOVChYjNBL4AUAAMh9vt69Sb7evTHgPA2/Px38w0x6C+sOletJXkfgBQAAyEU9u2mFXX+6nEdE2le6LE/39HLRGgAAQC6p2d0bdyLDYdc2Z/dGs16wx9Jdvny5hIeHS/v27SWnI/ACAADkAto/qzW7WfH93i1BP5733ntPHn30UVm2bJns27dPcjICLwAAQC6gozGsPLwrS+uuOrzTrB8ssbGxMmPGDHnwwQdND+/7778vORmBFwAAIBfQoccSfEZjyIyzSYnyV+yxoB3LzJkzpU6dOlK7dm25++67ZfLkyTn69sMEXgAAgFxAx9l1cn3/cgYNuuqmm26SEydOyNKlSyWnIvACAADkAnpTCSfXt23ZskVWrlwpPXr0MI8jIiKkW7duppc3p2JYMgAAgFxA76CmN5XwvclERuULC5eKhUsErXf33LlzEh0d7X1OyxmioqJk9OjRUrRoUclp6OEFAADIBfR2wXoHtay4snQV7+2GL4QG3alTp8rLL78s69at807r1683Afjzzz+XnIgeXgAAgFxALwnT2wXrHdQy68YKtYNyDF9//bUcO3ZM+vbtK8WKFUs277bbbpOPPvpIBgwYIDkNPbwAAAC5QJjHIxUKFjO3C86MDpXqmfWCcac1LWdo1apVirBrB961a9fKhg0bJKehhxcAACCX0NDaoXI9cxMKvYNaRsLuLZUzF5DTMmfOnFTnNWnSxPT+5sQaXgIvAABALtO+0mXSsFRFcwc1vamE74VseoGa1uxqGYP27ILACwAAkCt7ejXM3lOziXSt3sjcVELH2dWhx3Q0BvsCtWCUMbgBgRcAACAXssNs/vBIqVmsjNOHk6Nx0RoAAABcjcALAAAAVyPwAgAAwNWo4QUAAMiFLCtJK3lFEuJFDu0SiT8tElVApExlkcgoc6sKj4e+TUXgBQAAyGUsyxI5sk+stQvE2rxS5NzZf2ZG5BNPnSbiuby1WKUqMFIDgRcAACD3sVZ8JdbyrwLPPHdWrE0/msnT7FbxNOsoeR2BFwAAIBf17KYZdv2XX/6VJIlHPFd1yNM9vRR2AAAA5Jaa3SN7Mxx2vestn31+PVPze+F69+5twrM9XXTRRXLTTTfJhg0bJKci8AIAAOQKHlOzmxXW2oXnL3ALEg24+/fvN9OiRYskIiJCbr31VsmpCLwAAAC5QUL8+QvUssDa/Mv50RyCJCoqSsqVK2emhg0byqBBg+Svv/6SI0eOSE5E4AUAAMgNdOgx39EYMuPcWZFDuyU7xMbGykcffSQ1atSQkiVLSk7kaOA9efKkDBgwQCpXriwFChSQ5s2by6pVq8y8hIQE+de//iX16tWTQoUKSXR0tPTs2VP27duX5jZHjBiRrK5Epzp16oToFQEAAGQTHWf3gtaPC9aRyNdffy2FCxc2U5EiReSrr76S6dOnS1hYzuxLdfSo7rvvPlmwYIF8+OGHsnHjRmnTpo20atVK9u7dK3FxcbJmzRoZOnSo+feLL76QLVu2ZKg+pG7dut66Ep1+/PHHkLweAACAbKM3lbig9QsG60jkhhtukHXr1plp5cqV0rZtW2nfvr3s3p09vci5dliy06dPy+effy6zZ8+Wa6+91ts7O2fOHJk4caI8//zzJgz7euONN6RJkyamMStVqpTqtrVwWmtKMio+Pt5MtpiYGG8vs07Zzd5HKPaFf9DuzqDdnUG7O4N2d3+76z50qLCkpCQzZSeP3kEtIl/Wyhoi8omUqRSUY9TXW7BgQalWrZr3uUmTJkmJEiVk6tSpMnbs2KC1hW5H96ftHB4enmxeZt5fxwLvuXPnJDExUfLnz5/seS1tSK1H9sSJE6ZEoXjx4mlue9u2baYEQrfdrFkzGTNmTJoBWeePHDkyxfPfffedeUNDxT/gIzRod2fQ7s6g3Z1Bu7u33e1ONq1jPXs2i/W1GaD5p2jRIuYOanpDiUyvX6epSGQ+ORlz8vxd2i6ABk3NcXYHoR1MtZzhzJkzpmQ1WLRNtZN02bJlZp++tBogxwderffQMDpq1Ci55JJLpGzZsqb2Y/ny5abo2Z82oNb09ujRQ4oWLZrqdps2bSrvv/++1K5d25QzaJC95pprZNOmTWafgQwePFiefPJJ72N9AytWrGhKLNLaV7DoiaO/lK1bt5bIyMhs3x/Oo92dQbs7g3Z3Bu3u/nbXfKKjE2gtq38nXtBZcv52wVkJvJe3MuunloUyQ9tUOy3twHns2DF58803TejX4cp0H8G6yYW2r3aGajWAf/v6Bu4cfac1rd299957pUKFCqabulGjRibQrl69OsWJ27VrV/OJRMsd0tKuXTvvz/Xr1zcBWC+KmzlzpvTt2zfVoTV0CvSGhvI/qFDvD+fR7s6g3Z1BuzuDdndvu2vw03CnvZuhuGDLKlXB3C44Mzef8OithXU9vZg/CMeg25k/f77Jb0oDrg4QMGPGDGnRooW3PYJBt6PbC/ReZua9dTTwVq9eXZYuXSqnTp0yKb18+fLSrVu3ZDUhdtjdtWuXfP/995nucdXyh1q1asn27duz4RUAAACEjgmtzTqa2wWbO6ilt3yzjhLWLLg3hNBv0nXyp2UNmel1DaUcMXaEDjumYVe7xPUTQ8eOHZOFXa3JXbhwobl1XWZp9/qOHTvM9gEAANzAc1UHCbtnpHguu+b8BWm+IvKZ5838qzo4dYg5iqM9vBputUxB6221B3bgwIGmS7xPnz4m7N5+++1mSDId602/Mjhw4IBZTwc1zpfv/JvbsmVL6dy5szzyyCPm8dNPPy0dOnQwZQw6Zu/w4cNNuYSWSgAAALilp9cqFS2e1r3Ec3338zeV0HF2deixMpVEIrVU0wpaLW1u52jg1VEX9IKxPXv2mBDbpUsXGT16tKnJ2LlzpxnEWOkt63wtXrxYrr/+evOz9t763sZOt6Xh9ujRo1K6dGlTS7JixQrzMwAAgFt4PP/7oj5ffpGLawVaItSHlGM5Gni1XEGnQKpUqZKhYTM0GPv65JNPgnZ8AAAAyP1yRA0vAABAbnahY9sie9uVwAsAAJBF9tBYmbkJAjLObtcLHV7O0ZIGAACA3EwvjNchUA8dOmQe6x1a8+qFYklJSebOaHqziAsdh1d7djXsartq+/rfVjizCLwAAAAXQG8trOzQm1dZlmVuA6x3RgtW6Newa7fvhSDwAgAAXAANdzref5kyZcywqnlVQkKCLFu2zNwGOBh3uNNtXGjPro3ACwAAEAQazoIV0HKj8PBwOXfunOTPnz/H3Uqbi9YAAADgagReAAAAuBqBFwAAAK5G4AUAAICrEXgBAADgagReAAAAuBqBFwAAAK5G4AUAAICrEXgBAADgagReAAAAuBqBFwAAAK5G4AUAAICrEXgBAADgagReAAAAuBqBFwAAAK5G4AUAAICrEXgBAADgagReAAAAuBqBFwAAAK5G4AUAAICrEXgBAADgagReAAAAuBqBFwAAAK5G4AUAAICrEXgBAADgagReAAAAuBqBFwAAAK5G4AUAAICrEXgBAADgao4G3pMnT8qAAQOkcuXKUqBAAWnevLmsWrXKO9+yLBk2bJiUL1/ezG/VqpVs27Yt3e2++eabUqVKFcmfP780bdpUVq5cmc2vBAAAADmVo4H3vvvukwULFsiHH34oGzdulDZt2phQu3fvXjN/3Lhx8tprr8nbb78tv/zyixQqVEjatm0rZ86cSXWbM2bMkCeffFKGDx8ua9askQYNGph1Dh06FMJXBgAAgJwiwqkdnz59Wj7//HOZPXu2XHvttea5ESNGyJw5c2TixIkyatQomTBhgjz77LPSsWNHM3/q1KlStmxZ+fLLL6V79+4Btzt+/Hi5//77pU+fPuaxhuW5c+fK5MmTZdCgQQHXiY+PN5MtJibG/JuQkGCm7GbvIxT7wj9od2fQ7s6g3Z1BuzuDds8b7Z6Qif14LK0bcKicoWjRorJw4UJp2bKl9/kWLVpIRESECajVq1eXtWvXSsOGDb3zr7vuOvP41VdfTbHNs2fPSsGCBeWzzz6TTp06eZ/v1auXHD9+3ITrQDRojxw5MsXz06ZNM9sDAABAzhIXFyd33nmnnDhxwmTKHNnDW6RIEWnWrJnpyb3kkktMz+306dNl+fLlUqNGDTlw4IBZTp/3pY/tef6OHDkiiYmJAdfZvHlzqscyePBgUwbh28NbsWJFU2KRXgMG6xOKlna0bt1aIiMjs31/OI92dwbt7gza3Rm0uzNo97zR7jH/+0Y+IxwLvEprd++9916pUKGChIeHS6NGjaRHjx6yevXqkB5HVFSUmfzpmxXKX5RQ7w/n0e7OoN2dQbs7g3Z3Bu3u7naPzMQ+HL1oTUsWli5dKrGxsfLXX3+Z0RT000G1atWkXLlyZpmDBw8mW0cf2/P8lSpVygTnzKwDAAAAd8sR4/Dq6As69NixY8dk/vz55iK1qlWrmpC6aNGiZF3XOlqDlkIEki9fPmncuHGydZKSkszj1NYBAACAuzla0qDhVq+Zq127tmzfvl0GDhwoderUMSMseDweM0bv888/LzVr1jQBeOjQoRIdHZ3sgjS94K1z587yyCOPmMdai6sXqV1xxRXSpEkTM9LDqVOnvKM2AAAAIG9xNPDqVXV6wdiePXukZMmS0qVLFxk9erS3JuOZZ54xYbVfv35mlAUdwWHevHnmhhK2HTt2mIvVbN26dZPDhw+bG1boxW06ooOu438hGwAAAPIGRwNv165dzZQa7eV97rnnzJSanTt3pnhOe3vtHl8AAADkbTmihhcAAADILgReAAAAuBqB10GJSUnJ/rUlWckfAwAAIOscreHNq3RkilPnzsqy/dvkhwPbJeZMnLSRQvLU8s+lXpmKcmN0LaletLQkWkkS7uEzCQAAwIUg8Dpg7u5N8s1f/zWB1vdNSJQk+fXwLjNVKXKRPHzpdVIoIp+EhxF6AQAAsookFWIzdqyWObs3esNuanaePCpj1s2TuHNn010WAAAAqSPwhojW6a48tFO+37clw+v8HR8nE39fRlkDAADABSBJhYiWJSzY+3um19sRc0R2nfxbkiwrW44LAADA7Qi8IaBhdXfs37I79liW1l+8b4t4gn5UAAAAeQOBNwR0mLE1R/7K8vrrju4xd50DAABA5hF4QyDM45FTCfFZXv90YgIlDQAAAFlE4A0BzaqRYeFZXl8vWtPQDAAAgMwj8IaAJZaULVg0y+uXK5D1dQEAAPI6Am8IRISFy1VlqkpUeNbu83FN+Ropbj8MAACAjCHwhoiWNDQtXSXT62lIbl62GndbAwAAyCJSVAh1qFxfiucrkKl1bqvS8ILqfwEAAPI6Am+I6EVnhSLyyRP1WmY49HasXF+uj67FBWsAAAAXIGtFpcgSLUsonb+wPHt5O/n2r//K8kN/SNy5hGTLaLStXbystKlwiVxaorxjxwoAAOAWBF4HQm/hyCi5vVoj6Vy1ofx6eJccjD0hcmy33FKpnlxRtqqULlDYXKTGzSYAAAAuHCUNDtAgq2UKWpt7Zekq0vbiS8zz15evKaXyFzI/c5EaAABAcNDD67CIsDCx/ndRmg5fRq8uAABAcNGNCAAAAFcj8AIAAMDVCLwAAABwNQIvAAAAXI3ACwAAAFcj8AIAAMDVCLwAAABwNQIvAAAAXI3ACwAAAFcj8AIAAMDVCLwAAABwNQIvAAAAXI3ACwAAAFcj8AIAAMDVHA28iYmJMnToUKlataoUKFBAqlevLqNGjRLLsrzLeDyegNNLL72U6nZHjBiRYvk6deqE6FUBAAAgJ4lwcudjx46ViRMnygcffCB169aVX3/9Vfr06SPFihWTxx57zCyzf//+ZOt8++230rdvX+nSpUua29btLVy40Ps4IsLRlwoAAACHOJoCf/75Z+nYsaO0b9/ePK5SpYpMnz5dVq5c6V2mXLlyydaZPXu23HDDDVKtWrU0t60B13/d1MTHx5vJFhMTY/5NSEgwU3az9xGKfeEftLszaHdn0O7OoN2dQbvnjXZPyMR+HA28zZs3l0mTJsnWrVulVq1asn79evnxxx9l/PjxAZc/ePCgzJ071/QIp2fbtm0SHR0t+fPnl2bNmsmYMWOkUqVKAZfVeSNHjkzx/HfffScFCxaUUFmwYEHI9oV/0O7OoN2dQbs7g3Z3Bu3u7naPi4vL8LIey7dgNsSSkpJkyJAhMm7cOAkPDzc1vaNHj5bBgwcHXF6Xe/HFF2Xfvn0myKZGyx5iY2Oldu3apiRCw+zevXtl06ZNUqRIkQz18FasWFGOHDkiRYsWlVB8QtGTo3Xr1hIZGZnt+8N5tLszaHdn0O7OoN2dQbvnjXaPiYmRUqVKyYkTJ9LNa4728M6cOVM+/vhjmTZtmqm5XbdunQwYMMD0zPbq1SvF8pMnT5a77rorzbCr2rVr5/25fv360rRpU6lcubLZn9b/+ouKijKTP32zQvmLEur94Tza3Rm0uzNod2fQ7s6g3d3d7pGZ2IejgXfgwIEyaNAg6d69u3lcr1492bVrlykx8A+8P/zwg2zZskVmzJiR6f0UL17clExs3749aMcOAACA3MHRYcm09iIsLPkhaGmDljr4e++996Rx48bSoEGDTO9Hyxt27Ngh5cuXv6DjBQAAQO7jaODt0KGDqdnVC9F27twps2bNMhesde7cOUWNxqeffir33XdfwO20bNlS3njjDe/jp59+WpYuXWq2qSNB6PY0SPfo0SPbXxMAAAByFkdLGl5//XVz44mHHnpIDh06ZGp3+/fvL8OGDUu23CeffGJuRpFaYNXeW73AzLZnzx6z7NGjR6V06dLSokULWbFihfkZAAAAeYujgVdHTJgwYYKZ0tKvXz8zpUZ7cv0DMgAAAOB4SQMAAACQ3Qi8AAAAcDUCLwAAAFyNwAsAAABXI/ACAADA1Qi8AAAAcDUCLwAAAFyNwAsAAABXI/ACAADA1Qi8AAAAcDUCLwAAAFwtIisrhYWFicfjSXV+YmLihRwTAAAA4GzgnTVrVvCOAAAAAMhpgbdjx47JHn/xxReybt06ueyyy6Rr167BOjYAAADA+RresWPHSo8ePWTevHnSt29fGTly5IUfFQAAAJBTAu8HH3wg7777rqxcuVJmz54tU6ZMCc6RAQAAADkh8O7bt0+uuuoq87P+u3fv3mAcFwAAAJAzAq+OyBARcb4UODw8XJKSkoJxXAAAAIBzF61dfvnl3mHJTp8+LR06dJB8+fKJZVnBOSoAAADAycDbqVOnVEds8J0HAAAA5MrAO3z48OAfCQAAAJBTAm9MTEya84sWLZrV4wEAAACcD7zFixcPeGthreHV57m1MAAAAHJ14FWfffaZlCxZMrhHAwAAAOSUwHv11VdLmTJlgns0AAAAQE4JvL/99pscPXpUChUqJOXKlTPDkgEAAACuufFEy5YtpW7dulK1alUTeuvVqyevvPJKcI8OAAAAcKKH988//zQXqCUkJJgRG/T2witXrpShQ4fKuXPnZODAgRd6XAAAAIBzgbdy5crJHjdu3Njcba1WrVry3HPPEXgBAACQ+2t4A+nevbspcwAAAABce+OJGjVqXMjxAAAAAEHFjScAAADgatx4AgAAAK7GjScAAADgatx4AgAAAK7m6I0ntNZXx+7VbRQoUECqV68uo0aNMrXAtt69e5u6YN/ppptuSnfbb775plSpUkXy588vTZs2NeMEAwAAIO9x9MYTY8eOlYkTJ8oHH3xgwvOvv/4qffr0kWLFisljjz3mXU4D7pQpU7yPo6Ki0tzujBkz5Mknn5S3337bhN0JEyZI27ZtZcuWLZRhAAAA5DGO3nji559/lo4dO0r79u3NY+2RnT59eoreWA24WjaRUePHj5f777/fhGelwXfu3LkyefJkGTRoUIrl4+PjzeQ/7JoGep2ym72PUOwL/6DdnUG7O4N2dwbt7gzaPW+0e0Im9uOxfOsHgrDjjRs3SqNGjTK0/AsvvCCTJk2S7777zoTl9evXS5s2bUxgveuuu7wlDV9++aWpES5RooTceOON8vzzz8tFF10UcJtnz56VggULmlEkOnXq5H2+V69ecvz4cZk9e3aKdUaMGCEjR45M8fy0adPMtgAAAJCzxMXFyZ133iknTpyQokWLhu5Oa5GRkRkOu0p7W7U3tU6dOhIeHm5qekePHu0Nu3Y5w2233WbqfHfs2CFDhgyRdu3ayfLly806/o4cOWK2U7Zs2WTP6+PNmzcHPI7BgwebEgibHlPFihVN+E6vAYP1QWHBggXSunVr04YIDdrdGbS7M2h3Z9DuzqDd80a7x6RxI7SgBF4NlHqB2syZM2X37t2mV9XX33//naHt6Poff/yx6UnVGt5169bJgAEDJDo62vTI2rcrtumFcfXr1zcXty1ZssRcOBcMWjIRqC5Y36xQ/qKEen84j3Z3Bu3uDNrdGbS7M2h3d7d7ZCb2kaVRGvTrfy076Natm+lG1t5R7YUNCwsz5QEZpbW+2suroVbD7D333CNPPPGEjBkzJtV1qlWrJqVKlZLt27cHnK/ztOf34MGDyZ7Xx5mpAwYAAIA7ZCnwaq/sO++8I0899ZRERERIjx495N1335Vhw4bJihUrMlV7oSHZl4bVpKSkVNfZs2ePGf+3fPnyAedrra9eRLdo0SLvc7o9fdysWbMMHxsAAADycOA9cOCA6ZFVhQsXNr286pZbbjGjIWSUjuygNbu6zs6dO2XWrFmm57hz585mfmxsrOkF1hCt8zW06qgONWrUMMOM2bS04Y033vA+1h5nDeQ63Nnvv/8uDz74oJw6dco7agMAAADyjizV8F588cWyf/9+qVSpkqmn1VEW9GK1VatWpTtGrq/XX3/djN370EMPyaFDh0ztbv/+/U1Psd3bu2HDBhNcdYQFna8XkunNKXz3oxez6cVqNi21OHz4sNmOhvOGDRvKvHnzUlzIBgAAAPfLUuDVHljtbdWbOjz66KNy9913y3vvvWcuYNMa3IwqUqSIuSmEToHo3dfmz5+f7na099ffI488YiYAAADkbVkKvC+++GKy3lS9EYXeRKJmzZqmTAEAAADI1TW8vrSMYc6cOaYkQW8JDAAAAOTaHl6t2V27dq33Lmc6uLDeFljraXW0hf/85z/m1sB33HFHdh0vAAAAkH09vDokmN50wvbSSy+ZIcn0grJjx46ZC87GjRuXuSMAAAAAcmpJgw75pRet6WgK2sOrP2/bti14RwcAAAA4GXi1Z7dkyZLexyVKlJCTJ09e6DEBAAAAzgRej8djJv/nAAAAAFdctGZZlvTu3dt704czZ87IAw88IIUKFTKP4+Pjs+coAQAAgFAE3l69eiV7rDec8NezZ8+sHgsAAADgbOCdMmVK8I8AAAAAyMk3ngAAAAByMgIvAAAAXI3ACwAAAFcj8AIAAMDVCLwAAABwNQIvAAAAXI3ACwAAAFcj8AIAAMDVCLwAAABwNQIvAAAAXI3ACwAAAFcj8AIAAMDVCLwAAABwNQIvAAAAXI3ACwAAAFcj8AIAAMDVCLwAAABwNQIvAAAAXI3ACwAAAFcj8AIAAMDVCLwAAABwNQIvAAAAXI3ACwAAAFcj8AIAAMDVCLwAAABwNUcDb2JiogwdOlSqVq0qBQoUkOrVq8uoUaPEsiwzPyEhQf71r39JvXr1pFChQhIdHS09e/aUffv2pbndESNGiMfjSTbVqVMnRK8KAAAAOUmEkzsfO3asTJw4UT744AOpW7eu/Prrr9KnTx8pVqyYPPbYYxIXFydr1qwxobhBgwZy7Ngxefzxx+XWW281y6ZFt7dw4ULv44gIR18qAAAAHOJoCvz555+lY8eO0r59e/O4SpUqMn36dFm5cqV5rMF3wYIFydZ54403pEmTJrJ7926pVKlSqtvWgFuuXLkMHUd8fLyZbDExMd4eZp2ym72PUOwL/6DdnUG7O4N2dwbt7gzaPW+0e0Im9uNo4G3evLlMmjRJtm7dKrVq1ZL169fLjz/+KOPHj091nRMnTpgSheLFi6e57W3btpkSiPz580uzZs1kzJgxqQZknTdy5MgUz3/33XdSsGBBCRX/cI/QoN2dQbs7g3Z3Bu3uDNrd3e0eFxeX4WU9ll0w64CkpCQZMmSIjBs3TsLDw01N7+jRo2Xw4MEBlz9z5oxcffXVph73448/TnW73377rcTGxkrt2rVl//79Jszu3btXNm3aJEWKFMlQD2/FihXlyJEjUrRoUQnFJxQ9OVq3bi2RkZHZvj+cR7s7g3Z3Bu3uDNrdGbR76FhJieIJCxcr8ZwkxMXKwh9+llatWkmklpL+7zqq7KJ5rVSpUqYzNL285mgP78yZM01wnTZtmqm5XbdunQwYMMD0zPbq1SvFydu1a1dzQZvW/aalXbt23p/r168vTZs2lcqVK5v99e3bN8XyUVFRZvKnvySh/EUJ9f5wHu3uDNrdGbS7M2h3Z9DuIQi6u7dL0tpFIn+slyQdC6HazRL+wb8l4tKrxHN5K/EUK5Vtx5CZ99bRwDtw4EAZNGiQdO/e3TzW0Rh27dplSgx8A68ddnXe999/n+leVy1/0JKJ7du3B/01AAAA5CVWYqLImVhJnPWqyKFd/8zw/G/wr/jTYq1ZINaaheKpf514brwr23t7c/SwZFp7ERaW/BC0tEFLHfzDrtbk6qgLF110Uab3o+UNO3bskPLlywfluAEAAPJqz67Ex0nS9NHJw27gpcXasESsbyY5GnYdD7wdOnQwNbtz586VnTt3yqxZs8wFa507d/aG3dtvv90MQaalD1rje+DAATOdPXvWu52WLVua0RtsTz/9tCxdutRsU0eC0O1pkO7Ro4cjrxMAAMANPGHhkjR3okjM0QyvY21dJUlrFp7vGXaIoyUNr7/+uhlj96GHHpJDhw6Z2t3+/fvLsGHDzHy90Oyrr74yPzds2DDZuosXL5brr7/e/Ky9t3qBmW3Pnj0m3B49elRKly4tLVq0kBUrVpifAQAAkHmWfgN/7IDIX1syv+7ahRLWqJXkycCrIyZMmDDBTIHouLwZGURCe3J9ffLJJ0E7RgAAAIiIR0xdbpacOCzWzv+KVKpjeonzVEkDAAAAcgePJ0ysPzdkeX1rx9rzqdkBBF4AAABkzJlTkmXxceLxG6wgVAi8AAAAyJiIfBe0rlP3OyPwAgAAIGNKVbiwdXVYMwcQeAEAAJAuHVbM0+D8CFmZFpFPPHVbiCfcmfESCLwAAABIlyc8XDw1G4sULJr5dWtfKZIvvziFwAsAAIAMC2t5d+ZGWyhcXDwtbjN3XnMKgRcAAAAZYsbQrdFIPG16i2RkPN3CJSTs9oEi+YuYYc3y5I0nAAAAkLt4PB6RS5uLp/TFYq2aJ9b2NSkvRitQWDyXXSOeK24SyVfAlEM4icALAACATNHxdK3SlSTslgfEOh0r1tZV4jkVI3JYxNP2XgmrfcX5qgdP2PmA7DBKGgAAAJBp9k0kPHZvbqM25x9Xb3D+Arew8BwRdhU9vAAAALggOtyYJ8n6p843h6GHFwAAAK5G4AUAAICrEXgBAADgagReAAAAuBqBFwAAAK5G4AUAAICrEXgBAADgagReAAAAuBqBFwAAAK5G4AUAAICrEXgBAADgagReAAAAuBqBFwAAAK5G4AUAAICrEXgBAADgagReAAAAuBqBFwAAAK5G4AUAAICrEXgBAADgagReAAAAuBqBFwAAAK5G4AUAAICrEXgBAADgao4G3sTERBk6dKhUrVpVChQoINWrV5dRo0aJZVneZfTnYcOGSfny5c0yrVq1km3btqW77TfffFOqVKki+fPnl6ZNm8rKlSuz+dUAAAAgJ3I08I4dO1YmTpwob7zxhvz+++/m8bhx4+T111/3LqOPX3vtNXn77bfll19+kUKFCknbtm3lzJkzqW53xowZ8uSTT8rw4cNlzZo10qBBA7POoUOHQvTKAAAAkFM4Gnh//vln6dixo7Rv3970xt5+++3Spk0bb2+s9u5OmDBBnn32WbNc/fr1ZerUqbJv3z758ssvU93u+PHj5f7775c+ffrIpZdeasJywYIFZfLkySF8dQAAAMgJIpzcefPmzWXSpEmydetWqVWrlqxfv15+/PFHE1jVn3/+KQcOHDBlDLZixYqZEoXly5dL9+7dU2zz7Nmzsnr1ahk8eLD3ubCwMLMNXSeQ+Ph4M9liYmLMvwkJCWbKbvY+QrEv/IN2dwbt7gza3Rm0uzNo97zR7gmZ2I+jgXfQoEEmXNapU0fCw8NNTe/o0aPlrrvuMvM17KqyZcsmW08f2/P8HTlyxGwn0DqbN28OuM6YMWNk5MiRKZ7/7rvvTM9wqCxYsCBk+8I/aHdn0O7OoN2dQbs7g3Z3d7vHxcXljsA7c+ZM+fjjj2XatGlSt25dWbdunQwYMECio6OlV69eITsO7Q3Wml+bhvCKFSua8oqiRYuG5BOKnhytW7eWyMjIbN8fzqPdnUG7O4N2dwbt7gzaPW+0e8z/vpHP8YF34MCBppfXLk2oV6+e7Nq1y/S4auAtV66cef7gwYNmlAabPm7YsGHAbZYqVcr0FusyvvSxvT1/UVFRZvKnb1Yof1FCvT+cR7s7g3Z3Bu3uDNrdGbS7u9s9MhP7cPSiNe2K1vpaXxpWk5KSzM86XJmG1EWLFiVL8zpaQ7NmzQJuM1++fNK4ceNk6+j29HFq6wAAAMC9HO3h7dChg6nZrVSpkilpWLt2rblg7d577zXzPR6PKXF4/vnnpWbNmiYA67i9WvLQqVMn73ZatmwpnTt3lkceecQ81vIE7SG+4oorpEmTJmakh1OnTplRGwAAAJC3OBp4dbxdDbAPPfSQGSNXg2z//v3NjSZszzzzjAmr/fr1k+PHj0uLFi1k3rx55oYSth07dpiL1WzdunWTw4cPm+3oxW1a/qDr+F/IBgAAAPdzNPAWKVLE9L7qlBrt5X3uuefMlJqdO3emeE57e+0eXwAAAORdjtbwAgAAANmNwAsAAABXI/ACAADA1Qi8AAAAcDUCLwAAAFyNwAsAAABXI/ACAADA1Qi8AAAAcDUCLwAAAFyNwAsAAABXI/ACAADA1Qi8AAAAcDUCLwAAAFyNwAsAAABXI/ACAADA1Qi8AAAAcDUCLwAAAFyNwAsAAABXI/ACAADA1Qi8AAAAcDUCLwAAAFyNwAsAAABXI/ACAADA1Qi8AAAAcDUCLwAAAFyNwAsAAABXI/ACAADA1Qi8AAAAcDUCLwAAAFyNwAsAAABXI/ACAADA1Qi8AAAAcDUCLwAAAFyNwAsAAABXI/ACAADA1RwNvFWqVBGPx5Nievjhh2Xnzp0B5+n06aefprrN3r17p1j+pptuCunrAgAAQM4R4eTOV61aJYmJid7HmzZtktatW8sdd9whFStWlP379ydbftKkSfLSSy9Ju3bt0tyuBtwpU6Z4H0dFRWXD0QMAACA3cDTwli5dOtnjF198UapXry7XXXed6ZktV65csvmzZs2Srl27SuHChdPcrgZc/3UBAACQNzkaeH2dPXtWPvroI3nyySdN2PW3evVqWbdunbz55pvpbmvJkiVSpkwZKVGihNx4443y/PPPy0UXXZTq8vHx8WayxcTEmH8TEhLMlN3sfYRiX/gH7e4M2t0ZtLszaHdn0O55o90TMrEfj2VZluQAM2fOlDvvvFN2794t0dHRKeY/9NBDJsj+9ttvaW7nk08+kYIFC0rVqlVlx44dMmTIENMjvHz5cgkPDw+4zogRI2TkyJEpnp82bZrZFgAAAHKWuLg4kx1PnDghRYsWzR2Bt23btpIvXz6ZM2dOinmnT5+W8uXLy9ChQ+Wpp57K1Hb/+OMPUyaxcOFCadmyZYZ7eLWG+MiRI+k2YLA+oSxYsMDUL0dGRmb7/nAe7e4M2t0ZtLszaHdn0O55o91jYmKkVKlSGQq8OaKkYdeuXSaQfvHFFwHnf/bZZybF9+zZM9PbrlatmmmM7du3pxp4teY30IVt+maF8hcl1PvDebS7M2h3Z9DuzqDdnUG7u7vdIzOxjxwxDq+OqKA1t+3btw84/7333pNbb701xUVuGbFnzx45evSo6SEGAABA3uN44E1KSjKBt1evXhIRkbLDWXtmly1bJvfdd1/A9evUqWNGb1CxsbEycOBAWbFihRnHd9GiRdKxY0epUaOGKZkAAABA3uN44NVSBr1Q7d577w04f/LkyXLxxRdLmzZtAs7fsmWLqd1QelHahg0bTG9wrVq1pG/fvtK4cWP54YcfGIsXAAAgj3K8hleDbFrXzb3wwgtmSo3vugUKFJD58+cH/RgBAACQeznewwsAAABkJwIvAAAAXI3ACwAAAFcj8AIAAMDVCLwAAABwNQIvAAAAXI3ACwAAAFcj8AIAAMDVCLwAAABwNQIvAAAAXI3ACwAAAFcj8AIIGSvxnFhJif/8bFlOHxIAIA+IcPoAALiblZQk4vGIxMeJ9d+fxDpxVEQKirV2oUjd5iJFLzIh2BMW7vShAgBcisALINuY3tzjh8Va8ZVY21aLaK+uJ0Kk2s1irfhakpbPFqlSV8KatBerQg3xePjSCQAQfAReANkXdvdsk6SvXhc5eya1pUR2bpKkXb+Jp+XdIvWuFY/2BgMAEER0pwDInrB7dL8kzX4tjbCbbAWxFn4osn2Nt8YXAIBgIfACCDqtx01aNlMkIT4Ta1mStGTG+XpfAACCiMALIKh05AUr5ojIrt8yv/LJoyJ/bKCXFwAQVAReAMGlgXf9kvP1uVmQtGEpIzYAAIKKwAsgqDxhYWL9fSDrGzh2AesCABAAgRdA8CWdy/q65xKCeSQAABB4AQSfJ3/hrK9c4ALWBQAgAAIvgKCyEhPFU7NRltf31GjERWsAgKAi8AIIKk94uEi1hiKFS2R+5bBw8TS4gYvWAABBReAFkA0s8TRqlem1PHWaiqdgkWw5IgBA3kXgBRB02kMbdsVNJsBmWLmq4mnVUywrKTsPDQCQB0U4fQAA3HsDCk+7+0UKFhNr3SKRtOpyazSSsJvvFwkLE4+Hz+EAgOAi8ALIFp7/3SLYc303sZq0E2v9YrE2/SgSe/L8AvkLiad2Y/Fc3ko8JcqKlZRkxvAFACDYCLwAsp2nYFGRprdIWLOOkng2XuTbeRJ+39jzF7jZwZiwCwDIJgReACFhj7zgW7JAyAUAhAJ/bQAAAOBqBF4AAAC4GoEXAAAArkbgBQAAgKsReAEAAOBqBF4AAAC4GoEXAAAArsY4vKncElXFxMSEZH8JCQkSFxdn9hcZGRmSfYJ2dwrt7gza3Rm0uzNo97zR7jH/y2l2bksLgTeAkyfP3/q0YsWKTh8KAAAA0sltxYoVS2sR8VgZicV5TFJSkuzbt0+KFCkinv/d9jS7P6FouP7rr7+kaNGi2b4/nEe7O4N2dwbt7gza3Rm0e95od8uyTNiNjo6WsHTu3EkPbwDaaBdffHHI96snB7+YoUe7O4N2dwbt7gza3Rm0u/vbvVg6Pbs2LloDAACAqxF4AQAA4GoE3hwgKipKhg8fbv5F6NDuzqDdnUG7O4N2dwbt7oyoHNzuXLQGAAAAV6OHFwAAAK5G4AUAAICrEXgBAADgagReAAAAuBqBN8jGjBkjV155pblLW5kyZaRTp06yZcuWZMtMmjRJrr/+ejMos97J7fjx4xna9ptvvilVqlSR/PnzS9OmTWXlypXZ9Cpyn+xq9xEjRphlfac6depk4ytxV7v//fff8uijj0rt2rWlQIECUqlSJXnsscfkxIkTaW5Xr6UdNmyYlC9f3qzXqlUr2bZtWwheUd5u9969e6c432+66aYQvCL3/D/Tv39/qV69umn30qVLS8eOHWXz5s1pbpfz3Zl253y/8Hb3PYfbtWtn2vDLL7/Mkec7gTfIli5dKg8//LCsWLFCFixYIAkJCdKmTRs5deqUd5m4uDjzSzVkyJAMb3fGjBny5JNPmuE+1qxZIw0aNJC2bdvKoUOHsumV5C7Z1e6qbt26sn//fu/0448/ZsMrcGe76y26dfrPf/4jmzZtkvfff1/mzZsnffv2TXO748aNk9dee03efvtt+eWXX6RQoULmfD9z5kyIXlnebHelvyO+5/v06dND8Irc8/9M48aNZcqUKfL777/L/PnzzR93XSYxMTHV7XK+O9PuivP9wtrdNmHCBBN2M8Kx812HJUP2OXTokA77Zi1dujTFvMWLF5t5x44dS3c7TZo0sR5++GHv48TERCs6OtoaM2ZM0I/ZDYLV7sOHD7caNGiQTUeZt9rdNnPmTCtfvnxWQkJCwPlJSUlWuXLlrJdeesn73PHjx62oqChr+vTp2XLcuV0w2l316tXL6tixYzYdZd5s9/Xr15tltm/fHnA+57sz7a4434PT7mvXrrUqVKhg7d+/38yfNWtWqttw8nynhzeb2V8hlixZMsvbOHv2rKxevdp0+9vCwsLM4+XLlwflON0mGO1u069aoqOjpVq1anLXXXfJ7t27g3CEebfddRktK4mIiAg4/88//5QDBw4kO9/1XulaxsP5nn3tbluyZIn5+lLLIR588EE5evRo0I83r7S79oRpr2PVqlWlYsWKAZfhfHem3W2c7xfW7vrN6Z133mlKLsuVK5fuNpw83wm82SgpKUkGDBggV199tVx22WVZ3s6RI0fM1zJly5ZN9rw+1hMH2dPuSn8J7a+DJ06caH5Zr7nmGjl58mTQjjcvtbuey6NGjZJ+/fqluh37nOZ8D22721/vTp06VRYtWiRjx441X2lqXV56XwvnRWm1+1tvvSWFCxc207fffmu+Ds6XL1/A7XC+O9PuivP9wtv9iSeekObNm5ua6Yxw8nxP+6M+LojWvmj9HDWfubfd9T8/W/369U0Arly5ssycOTND9ZB5SXrtHhMTI+3bt5dLL73UXAyInNfu3bt39/5cr149c87rhUDaC9ayZcugH7tb212/CWrdurWpCdU66q5du8pPP/1kLjhGzml3zvcLa/evvvpKvv/+e1m7dq3kBvTwZpNHHnlEvv76a1m8eLFcfPHFF7StUqVKSXh4uBw8eDDZ8/o4I18h5CXBbPdAihcvLrVq1ZLt27cHfdtubnftEdfeFL3ad9asWRIZGZnqtuxzmvM9tO0eiJbx6P8/nO+Za3f9irZmzZpy7bXXymeffWZGC9D2D4Tz3Zl2D4TzPXPtrmF3x44d5u+ilkrZ5VJdunQxIyLltPOdwBtkemWonhz6S6Yng9YQXSj9SkavQNWvXXy/XtDHzZo1u+Dtu0F2tHsgsbGx5hdch1NBxtpdexj1yl49j7VHIL1eLt2G/sfne77rNvRqXs737Gv3QPbs2WNqGjnfs/7/jK6jU3x8fMD5nO/OtHsgnO+Za/dBgwbJhg0bZN26dd5JvfLKK6aGOsed79l6SVwe9OCDD1rFihWzlixZYq5YtKe4uDjvMvpYr2p85513zBWNy5YtM4+PHj3qXebGG2+0Xn/9de/jTz75xFzF+P7771u//fab1a9fP6t48eLWgQMHQv4a81K7P/XUU2abf/75p/XTTz9ZrVq1skqVKmWuVkX67X7ixAmradOmVr169czV0r7LnDt3zrud2rVrW1988YX38YsvvmjO79mzZ1sbNmwwV1JXrVrVOn36tCOvMy+0+8mTJ62nn37aWr58uTnfFy5caDVq1MiqWbOmdebMGcdea25q9x07dlgvvPCC9euvv1q7du0y/2d06NDBKlmypHXw4EHvdjjfnW93zvfg/F31F2iUhpxyvhN4g0zf7EDTlClTkg11ld4ylStXNsv50iBWqVIlM7SQDlO2YsWKkL62vNju3bp1s8qXL2/aXIdd0cdpDXOT16TX7vYQcIEm/SPjux3f90GHrhk6dKhVtmxZ80GvZcuW1pYtWxx5jXml3fWPWJs2bazSpUtbkZGR5nfh/vvv50N1Jtp97969Vrt27awyZcqYNrz44outO++809q8eXOK7XC+O9vunO/B+buakcCbU853z/8OBgAAAHAlangBAADgagReAAAAuBqBFwAAAK5G4AUAAICrEXgBAADgagReAAAAuBqBFwAAAK5G4AUAAICrEXgBAADgagReAHBI7969xePxeKeLLrpIbrrpJtmwYYPThwYArkLgBQAHacDdv3+/mRYtWiQRERFyyy23OH1YAOAqBF4AcFBUVJSUK1fOTA0bNpRBgwbJX3/9JYcPHzbzN27cKDfeeKMUKFDA9AD369dPYmNjvevr8tHR0ZIvXz6pUKGC/Otf/5KkpCQzb8mSJabneO7cuVK/fn3Jnz+/XHXVVbJp0ybv+kePHpUePXqYdQsWLCj16tWT6dOnJztG3d64ceOkRo0a5ngrVaoko0ePNvN8e6j9J90/AOQEBF4AyCE0yH700UcmWGq4PXXqlLRt21ZKlCghq1atkk8//VQWLlwojzzyiHedNm3ayNdffy3bt2+Xd999VyZNmmS24WvgwIHy8ssvm22ULl1aOnToIAkJCWbemTNnpHHjxiYUaxDWQH3PPffIypUrvesPHjxYXnzxRRk6dKj89ttvMm3aNClbtqyZZ/dO66Q+//xz7+PmzZuHqOUAIB0WAMARvXr1ssLDw61ChQqZSf9LLl++vLV69Wozf9KkSVaJEiWs2NhY7zpz5861wsLCrAMHDqTY3h9//GHWnzx5snm8ePFis81PPvnEu8zRo0etAgUKWDNmzEj1uNq3b2899dRT5ueYmBgrKirKeuedd9J9Pbov3ScA5DT08AKAg2644QZZt26dmbRXVXt027VrJ7t27ZLff/9dGjRoIIUKFfIuf/XVV5sSgy1btnife+GFF0w5QrVq1aRLly7Ss2fPZPto1qyZ9+eSJUtK7dq1zbZVYmKijBo1ypQy6LzChQvL/PnzZffu3Wa+LhcfHy8tW7YMQWsAQPaIyKbtAgAyQMOsljDYtCyhWLFi8s4772R4Gw888IDcdtttsnr1ahkwYID5WYN0Rrz00kvy6quvyoQJE0zo1ePRbZw9e9bM19phAMjt6OEFgBxEL/YKCwuT06dPyyWXXCLr1683tby2n376yczXXlqb9szWqVNH7rrrLmnRooWpo/W1YsUK78/Hjh2TrVu3mm3b2+vYsaPcfffdpjdZe4l1vq1mzZom9OoIEgCQWxF4AcBBWi5w4MABM2n5wKOPPmouXtMLyzTA6sgKvXr1MheULV682MzXi8rsi8beeust+e9//ys7d+40F6stWLBALr/88mT7eO6550xg1W3o2L+lSpWSTp06eQOtrvPzzz+b/ffv318OHjzoXVf3ryM/PPPMMzJ16lTZsWOHCdDvvfdeiFsKALKOkgYAcNC8efOkfPny5uciRYqYnlodjeH66683z2k97eOPPy5XXnmlqdPVGt3x48d719fRFYYPHy4nT56UihUrypAhQ+Tee+9Ntg8dYUG3sW3bNjP02Zw5c8wwZurZZ5+VP/74w9QO6/Z1lAYNwydOnPCur6Mz6PjAw4YNk3379pnj1TIKAMgtPHrlmtMHAQAIPh0HV2t5tYyhePHiTh8OADiGkgYAAAC4GoEXAAAArkZJAwAAAFyNHl4AAAC4GoEXAAAArkbgBQAAgKsReAEAAOBqBF4AAAC4GoEXAAAArkbgBQAAgKsReAEAACBu9v9Q7OopjebmaQAAAABJRU5ErkJggg==",
|
||
"text/plain": [
|
||
"<Figure size 800x500 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Матрица графиков для всех числовых данных:\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 720x600 with 6 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 600x400 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import seaborn as sns\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"import pandas as pd\n",
|
||
"\n",
|
||
"# Создаем DataFrame (если он еще не создан)\n",
|
||
"data = {\n",
|
||
" \"Имя\": [\"Анна\", \"Борис\", \"Виктор\", \"Галина\"],\n",
|
||
" \"Возраст\": [21, 22, 23, 24],\n",
|
||
" \"Баллы\": [89, 76, 95, 82]\n",
|
||
"}\n",
|
||
"df = pd.DataFrame(data)\n",
|
||
"df[\"Категория\"] = [\"A\", \"B\", \"A\", \"B\"] # Добавляем категории\n",
|
||
"\n",
|
||
"# 1. Boxplot (ящик с усами)\n",
|
||
"plt.figure(figsize=(8, 5))\n",
|
||
"sns.boxplot(x=\"Категория\", y=\"Баллы\", data=df, palette=\"pastel\")\n",
|
||
"plt.title(\"Распределение баллов по категориям\")\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"# 2. Histplot (гистограмма с распределением)\n",
|
||
"plt.figure(figsize=(8, 5))\n",
|
||
"sns.histplot(data=df, x=\"Баллы\", kde=True, bins=10, color=\"skyblue\")\n",
|
||
"plt.title(\"Распределение баллов студентов\")\n",
|
||
"plt.xlabel(\"Баллы\")\n",
|
||
"plt.ylabel(\"Количество\")\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"# 3. Scatterplot (точечный график)\n",
|
||
"plt.figure(figsize=(8, 5))\n",
|
||
"sns.scatterplot(data=df, x=\"Возраст\", y=\"Баллы\", hue=\"Категория\", \n",
|
||
" s=150, palette=\"Set2\")\n",
|
||
"plt.title(\"Зависимость баллов от возраста\")\n",
|
||
"plt.grid(True)\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"# 4. Pairplot (матрица графиков)\n",
|
||
"print(\"Матрица графиков для всех числовых данных:\")\n",
|
||
"sns.pairplot(df[[\"Возраст\", \"Баллы\"]], height=3, aspect=1.2)\n",
|
||
"plt.suptitle(\"Парные зависимости\", y=1.02)\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"# 5. Heatmap (тепловая карта корреляций)\n",
|
||
"plt.figure(figsize=(6, 4))\n",
|
||
"corr_matrix = df[[\"Возраст\", \"Баллы\"]].corr()\n",
|
||
"sns.heatmap(corr_matrix, annot=True, cmap=\"coolwarm\", \n",
|
||
" fmt=\".2f\", linewidths=.5)\n",
|
||
"plt.title(\"Корреляция между возрастом и баллами\")\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "3ae6852f-2862-4722-a636-dcf9ed421c68",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Прогресс-бар с tqdm"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 21,
|
||
"id": "e18e589e-558c-4c51-96ba-b15a6199b795",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 100/100 [00:01<00:00, 94.75it/s]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"from tqdm import tqdm\n",
|
||
"import time\n",
|
||
"\n",
|
||
"for i in tqdm(range(100)):\n",
|
||
" time.sleep(0.01) # Симуляция долгого процесса"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 22,
|
||
"id": "8e758a01-d801-48d0-a8bc-2685fc54b995",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Обработка данных: 100%|███████████████████████████████████████████████████████████████████████████████████████| 100/100 [00:02<00:00, 48.36it/s]\n",
|
||
"100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 9.74it/s]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"from tqdm import tqdm\n",
|
||
"import time\n",
|
||
"\n",
|
||
"# Простой прогресс-бар\n",
|
||
"for i in tqdm(range(100), desc=\"Обработка данных\"):\n",
|
||
" time.sleep(0.02) # Имитация долгой операции\n",
|
||
" \n",
|
||
"# Прогресс-бар для DataFrame\n",
|
||
"for index, row in tqdm(df.iterrows(), total=len(df)):\n",
|
||
" time.sleep(0.1) # Имитация обработки строк"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "6f884906-bec9-440f-8385-4df02626b286",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Самостоятельное задание"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 24,
|
||
"id": "26a497ff-d072-4cf5-b5cd-12bd9e1bc33f",
|
||
"metadata": {},
|
||
"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>Survived</th>\n",
|
||
" <th>Pclass</th>\n",
|
||
" <th>Name</th>\n",
|
||
" <th>Sex</th>\n",
|
||
" <th>Age</th>\n",
|
||
" <th>Siblings/Spouses Aboard</th>\n",
|
||
" <th>Parents/Children Aboard</th>\n",
|
||
" <th>Fare</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>Mr. Owen Harris Braund</td>\n",
|
||
" <td>male</td>\n",
|
||
" <td>22.0</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>7.2500</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>Mrs. John Bradley (Florence Briggs Thayer) Cum...</td>\n",
|
||
" <td>female</td>\n",
|
||
" <td>38.0</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>71.2833</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>1</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>Miss. Laina Heikkinen</td>\n",
|
||
" <td>female</td>\n",
|
||
" <td>26.0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>7.9250</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>Mrs. Jacques Heath (Lily May Peel) Futrelle</td>\n",
|
||
" <td>female</td>\n",
|
||
" <td>35.0</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>53.1000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>0</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>Mr. William Henry Allen</td>\n",
|
||
" <td>male</td>\n",
|
||
" <td>35.0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>8.0500</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Survived Pclass Name \\\n",
|
||
"0 0 3 Mr. Owen Harris Braund \n",
|
||
"1 1 1 Mrs. John Bradley (Florence Briggs Thayer) Cum... \n",
|
||
"2 1 3 Miss. Laina Heikkinen \n",
|
||
"3 1 1 Mrs. Jacques Heath (Lily May Peel) Futrelle \n",
|
||
"4 0 3 Mr. William Henry Allen \n",
|
||
"\n",
|
||
" Sex Age Siblings/Spouses Aboard Parents/Children Aboard Fare \n",
|
||
"0 male 22.0 1 0 7.2500 \n",
|
||
"1 female 38.0 1 0 71.2833 \n",
|
||
"2 female 26.0 0 0 7.9250 \n",
|
||
"3 female 35.0 1 0 53.1000 \n",
|
||
"4 male 35.0 0 0 8.0500 "
|
||
]
|
||
},
|
||
"execution_count": 24,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"\n",
|
||
"# Для CSV\n",
|
||
"df = pd.read_csv('titanic.csv')\n",
|
||
"\n",
|
||
"# Просмотр первых строк\n",
|
||
"df.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 25,
|
||
"id": "5590d93c-66b8-458f-b44e-ac316ed23600",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"<class 'pandas.core.frame.DataFrame'>\n",
|
||
"RangeIndex: 887 entries, 0 to 886\n",
|
||
"Data columns (total 8 columns):\n",
|
||
" # Column Non-Null Count Dtype \n",
|
||
"--- ------ -------------- ----- \n",
|
||
" 0 Survived 887 non-null int64 \n",
|
||
" 1 Pclass 887 non-null int64 \n",
|
||
" 2 Name 887 non-null object \n",
|
||
" 3 Sex 887 non-null object \n",
|
||
" 4 Age 887 non-null float64\n",
|
||
" 5 Siblings/Spouses Aboard 887 non-null int64 \n",
|
||
" 6 Parents/Children Aboard 887 non-null int64 \n",
|
||
" 7 Fare 887 non-null float64\n",
|
||
"dtypes: float64(2), int64(4), object(2)\n",
|
||
"memory usage: 55.6+ KB\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"df.info() # Типы данных, количество значений"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 26,
|
||
"id": "b5704514-567b-4bad-be84-06401d193f54",
|
||
"metadata": {},
|
||
"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>Survived</th>\n",
|
||
" <th>Pclass</th>\n",
|
||
" <th>Age</th>\n",
|
||
" <th>Siblings/Spouses Aboard</th>\n",
|
||
" <th>Parents/Children Aboard</th>\n",
|
||
" <th>Fare</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>count</th>\n",
|
||
" <td>887.000000</td>\n",
|
||
" <td>887.000000</td>\n",
|
||
" <td>887.000000</td>\n",
|
||
" <td>887.000000</td>\n",
|
||
" <td>887.000000</td>\n",
|
||
" <td>887.00000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>mean</th>\n",
|
||
" <td>0.385569</td>\n",
|
||
" <td>2.305524</td>\n",
|
||
" <td>29.471443</td>\n",
|
||
" <td>0.525366</td>\n",
|
||
" <td>0.383315</td>\n",
|
||
" <td>32.30542</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>std</th>\n",
|
||
" <td>0.487004</td>\n",
|
||
" <td>0.836662</td>\n",
|
||
" <td>14.121908</td>\n",
|
||
" <td>1.104669</td>\n",
|
||
" <td>0.807466</td>\n",
|
||
" <td>49.78204</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>min</th>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>0.420000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.00000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>25%</th>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>2.000000</td>\n",
|
||
" <td>20.250000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>7.92500</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>50%</th>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>3.000000</td>\n",
|
||
" <td>28.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>14.45420</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>75%</th>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>3.000000</td>\n",
|
||
" <td>38.000000</td>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>31.13750</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>max</th>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>3.000000</td>\n",
|
||
" <td>80.000000</td>\n",
|
||
" <td>8.000000</td>\n",
|
||
" <td>6.000000</td>\n",
|
||
" <td>512.32920</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Survived Pclass Age Siblings/Spouses Aboard \\\n",
|
||
"count 887.000000 887.000000 887.000000 887.000000 \n",
|
||
"mean 0.385569 2.305524 29.471443 0.525366 \n",
|
||
"std 0.487004 0.836662 14.121908 1.104669 \n",
|
||
"min 0.000000 1.000000 0.420000 0.000000 \n",
|
||
"25% 0.000000 2.000000 20.250000 0.000000 \n",
|
||
"50% 0.000000 3.000000 28.000000 0.000000 \n",
|
||
"75% 1.000000 3.000000 38.000000 1.000000 \n",
|
||
"max 1.000000 3.000000 80.000000 8.000000 \n",
|
||
"\n",
|
||
" Parents/Children Aboard Fare \n",
|
||
"count 887.000000 887.00000 \n",
|
||
"mean 0.383315 32.30542 \n",
|
||
"std 0.807466 49.78204 \n",
|
||
"min 0.000000 0.00000 \n",
|
||
"25% 0.000000 7.92500 \n",
|
||
"50% 0.000000 14.45420 \n",
|
||
"75% 0.000000 31.13750 \n",
|
||
"max 6.000000 512.32920 "
|
||
]
|
||
},
|
||
"execution_count": 26,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.describe() # Среднее, мин/макс, квантили для числовых столбцов"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 27,
|
||
"id": "7b484acb-8ac5-4271-a519-448b50a767d9",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"Survived 0\n",
|
||
"Pclass 0\n",
|
||
"Name 0\n",
|
||
"Sex 0\n",
|
||
"Age 0\n",
|
||
"Siblings/Spouses Aboard 0\n",
|
||
"Parents/Children Aboard 0\n",
|
||
"Fare 0\n",
|
||
"dtype: int64"
|
||
]
|
||
},
|
||
"execution_count": 27,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.isnull().sum() # Количество пропусков в каждом столбце"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 28,
|
||
"id": "20226291-c7ea-4528-8b98-4914e02a24b9",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import seaborn as sns\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"\n",
|
||
"sns.histplot(data=df, x='Age', kde=True, bins=20)\n",
|
||
"plt.title('Распределение возраста')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 29,
|
||
"id": "ce7270d7-7ac5-4f24-a78d-64ad477db6aa",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"sns.boxplot(data=df, x='Pclass', y='Fare')\n",
|
||
"plt.title('Стоимость билета по классам')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 30,
|
||
"id": "578c7d69-a172-4efa-b4cc-ea90890977ea",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"sns.scatterplot(data=df, x='Age', y='Fare', hue='Survived')\n",
|
||
"plt.title('Возраст vs Стоимость билета (с выживанием)')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 31,
|
||
"id": "9833271f-8bee-4620-b85d-cc049aedc82a",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"100%|█████████████████████████████████████████████████████████████████████████████████████████████████████| 887/887 [00:00<00:00, 295359.45it/s]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"from tqdm import tqdm\n",
|
||
"tqdm.pandas() # Активация для pandas\n",
|
||
"\n",
|
||
"# Пример: применение функции к столбцу с прогресс-баром\n",
|
||
"df['new_column'] = df['Age'].progress_apply(lambda x: x * 2)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "d842e2b8-6cfe-4e2a-a4e3-d203d602563e",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3 (ipykernel)",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.12.8"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|