1168 lines
457 KiB
Plaintext
1168 lines
457 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "15b66e0b-c2b5-4463-a31d-db55360295a6",
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"metadata": {},
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"source": [
|
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"# Анализ данных (Week 2)"
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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": 10,
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||
"id": "52cce95d-1a49-4887-b621-1cbeba4dd06d",
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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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"Результат: 100\n"
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]
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}
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],
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"source": [
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"a = 60\n",
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"b = 40\n",
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"result = a + b \n",
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"print(\"Результат:\", result)"
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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": 17,
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"id": "70b3cafb-4d9a-440f-ac12-2d067c8f921c",
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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": 18,
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||
"id": "5c5168de-5c55-4e65-9e47-368218f1f1bb",
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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",
|
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" .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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" </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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" </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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" </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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" </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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" </tr>\n",
|
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" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
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],
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"text/plain": [
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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"
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]
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||
},
|
||
"execution_count": 18,
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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 # Просто выводим таблицу"
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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": 25,
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||
"id": "28078e0e-1b10-40f2-9671-90a312980eb3",
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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",
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"<style scoped>\n",
|
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" .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",
|
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" .dataframe tbody tr th {\n",
|
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" vertical-align: top;\n",
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" }\n",
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"\n",
|
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" .dataframe thead th {\n",
|
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" 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",
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||
" <th>Возраст</th>\n",
|
||
" <th>Баллы</th>\n",
|
||
" <th>Вычисляемые значения</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Анна</td>\n",
|
||
" <td>21</td>\n",
|
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" <td>89</td>\n",
|
||
" <td>97.9</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
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" <th>1</th>\n",
|
||
" <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",
|
||
" <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",
|
||
"</div>"
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||
],
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"text/plain": [
|
||
" Имя Возраст Баллы Вычисляемые значения\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": 25,
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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[\"Вычисляемые значения\"] = df[\"Баллы\"] * 1.1 #Добавили новый столбец\n",
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"df"
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]
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||
},
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||
{
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||
"cell_type": "code",
|
||
"execution_count": 29,
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||
"id": "2138b53c-7b0d-4155-a82c-8b1cc7b0a710",
|
||
"metadata": {},
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||
"outputs": [
|
||
{
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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",
|
||
" }\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",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead tr:last-of-type th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr>\n",
|
||
" <th></th>\n",
|
||
" <th>Имя</th>\n",
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||
" <th colspan=\"2\" halign=\"left\">Баллы</th>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th></th>\n",
|
||
" <th>first</th>\n",
|
||
" <th>mean</th>\n",
|
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" <th>sum</th>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>Возраст</th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>21</th>\n",
|
||
" <td>Анна</td>\n",
|
||
" <td>89.0</td>\n",
|
||
" <td>89</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>22</th>\n",
|
||
" <td>Борис</td>\n",
|
||
" <td>76.0</td>\n",
|
||
" <td>76</td>\n",
|
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" </tr>\n",
|
||
" <tr>\n",
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" <th>23</th>\n",
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||
" <td>Виктор</td>\n",
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" <td>95.0</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>24</th>\n",
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" <td>Галина</td>\n",
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" <td>82.0</td>\n",
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" <td>82</td>\n",
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||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
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||
],
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||
"text/plain": [
|
||
" Имя Баллы \n",
|
||
" first mean sum\n",
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"Возраст \n",
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||
"21 Анна 89.0 89\n",
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"22 Борис 76.0 76\n",
|
||
"23 Виктор 95.0 95\n",
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"24 Галина 82.0 82"
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||
]
|
||
},
|
||
"execution_count": 29,
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||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
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||
],
|
||
"source": [
|
||
"#сгруппируем по возрасту и посчитаем средний балл\n",
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"df.groupby(\"Возраст\").agg({\n",
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" \"Имя\": \"first\", # Выберем первое имя для каждого возраста (или другой агрегат)\n",
|
||
" \"Баллы\": [\"mean\", \"sum\"]\n",
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||
"})\n"
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||
]
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||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 30,
|
||
"id": "4e8aec7b-3092-4ab3-a2b2-7d4196757171",
|
||
"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>Имя</th>\n",
|
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" <th>Возраст</th>\n",
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" <th>Баллы</th>\n",
|
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" <th>Вычисляемые значения</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
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" <td>Борис</td>\n",
|
||
" <td>22</td>\n",
|
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" <td>76</td>\n",
|
||
" <td>83.6</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>Виктор</td>\n",
|
||
" <td>23</td>\n",
|
||
" <td>95</td>\n",
|
||
" <td>104.5</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>Галина</td>\n",
|
||
" <td>24</td>\n",
|
||
" <td>82</td>\n",
|
||
" <td>90.2</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Имя Возраст Баллы Вычисляемые значения\n",
|
||
"1 Борис 22 76 83.6\n",
|
||
"2 Виктор 23 95 104.5\n",
|
||
"3 Галина 24 82 90.2"
|
||
]
|
||
},
|
||
"execution_count": 30,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df[df[\"Возраст\"] > 21]"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "875f02c5-ca8d-44c5-9cdc-b081a9701c1b",
|
||
"metadata": {},
|
||
"source": [
|
||
"#numpy: массивы и вычисления"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 31,
|
||
"id": "1bed51f2-67c9-4d9d-b1c5-0d5bd67b6172",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Сумма элементов массива: 15\n",
|
||
"Среднее значение: 3.0\n",
|
||
"Медиана: 3.0\n",
|
||
"Стандартное отклонение: 1.4142135623730951\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import numpy as np\n",
|
||
"\n",
|
||
"arr = np.array([1, 2, 3, 4, 5])\n",
|
||
"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))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 32,
|
||
"id": "61767b0a-66bb-4800-95e8-d2173b76ac73",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Двумерный массив:\n",
|
||
"[[1 2]\n",
|
||
" [3 4]]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Создадим двумерный массив\n",
|
||
"arr_2d = np.array([[1, 2], [3, 4]])\n",
|
||
"\n",
|
||
"print(\"Двумерный массив:\")\n",
|
||
"print(arr_2d)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 33,
|
||
"id": "8ccb4e4c-931c-4b0d-bc0f-f2854d247408",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Массив с линейной прогрессией: [ 0. 2.5 5. 7.5 10. ]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Создаем массив с 5 значениями, равномерно распределенными от 0 до 10\n",
|
||
"linspace_arr = np.linspace(0, 10, 5)\n",
|
||
"print(\"Массив с линейной прогрессией:\", linspace_arr)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 34,
|
||
"id": "00927771-88b5-43e3-ab9c-0d5c9bed8f37",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Случайные числа с нормальным распределением: [-0.27994439 -0.06543877 1.55389199 0.87989177 -1.59149188]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Создадим массив из 5 случайных чисел с нормальным распределением\n",
|
||
"random_arr = np.random.randn(5)\n",
|
||
"print(\"Случайные числа с нормальным распределением:\", random_arr)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 35,
|
||
"id": "6b20d3cd-147c-4146-a547-37629d83f6b6",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Скалярное произведение: 11\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Умножение двух массивов\n",
|
||
"arr_a = np.array([1, 2])\n",
|
||
"arr_b = np.array([3, 4])\n",
|
||
"dot_product = np.dot(arr_a, arr_b)\n",
|
||
"print(\"Скалярное произведение:\", dot_product)\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "00932439-e6b2-4c48-acac-517561d770f1",
|
||
"metadata": {},
|
||
"source": [
|
||
"#matplotlib: построение графиков"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 36,
|
||
"id": "5e252a46-63a1-4db1-a847-e72fb1078dfb",
|
||
"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": 38,
|
||
"id": "6ed303f5-af73-4449-aeec-e16c1b4a846b",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"plt.plot(x, y, label='sin(x)', color='red') #изменили цвет линии на красный\n",
|
||
"plt.xlabel(\"X\")\n",
|
||
"plt.ylabel(\"Y\")\n",
|
||
"plt.title(\"График синуса\")\n",
|
||
"plt.legend()\n",
|
||
"plt.grid()\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 39,
|
||
"id": "18fd8f5a-2712-4b47-bbac-fb9167030339",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Построение графиков синуса и косинуса\n",
|
||
"plt.plot(x, np.sin(x), label='sin(x)', color='red') # sin(x) - красный\n",
|
||
"plt.plot(x, np.cos(x), label='cos(x)', color='blue') # cos(x) - синий\n",
|
||
"\n",
|
||
"plt.xlabel(\"X\")\n",
|
||
"plt.ylabel(\"Y\")\n",
|
||
"plt.title(\"Графики sin(x) и cos(x)\")\n",
|
||
"plt.legend()\n",
|
||
"plt.grid()\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 40,
|
||
"id": "d0f22414-3f22-418c-9bff-d054ad7c67b6",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Столбчатая диаграмма\n",
|
||
"x = np.arange(5)\n",
|
||
"y = np.random.randint(1, 10, size=5)\n",
|
||
"\n",
|
||
"plt.bar(x, y, color='green')\n",
|
||
"plt.xlabel('Категории')\n",
|
||
"plt.ylabel('Значения')\n",
|
||
"plt.title('Столбчатая диаграмма')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 41,
|
||
"id": "348e0514-abb2-459c-8cb1-1b33a6dc208f",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Диаграмма рассеяния\n",
|
||
"x = np.random.rand(50)\n",
|
||
"y = np.random.rand(50)\n",
|
||
"\n",
|
||
"plt.scatter(x, y, color='purple')\n",
|
||
"plt.xlabel('X')\n",
|
||
"plt.ylabel('Y')\n",
|
||
"plt.title('Диаграмма рассеяния')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 44,
|
||
"id": "dacfdc66-5903-4ab3-b6d8-d9d57669f75a",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Гистограмма\n",
|
||
"data = np.random.randn(100)\n",
|
||
"\n",
|
||
"plt.hist(data, bins=50, color='orange', edgecolor='black')\n",
|
||
"plt.xlabel('Значения')\n",
|
||
"plt.ylabel('Частота')\n",
|
||
"plt.title('Гистограмма')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "f2593931-5726-4e0a-b8ef-062bbdd96633",
|
||
"metadata": {},
|
||
"source": [
|
||
"#seaborn: работа с графиками данных"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 57,
|
||
"id": "e7213b02-5eb5-4edc-8a61-51e7040f55d5",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Построение histplot\n",
|
||
"sns.histplot(df[\"Баллы\"], kde=True, color='purple')\n",
|
||
"plt.xlabel(\"Баллы\")\n",
|
||
"plt.ylabel(\"Частота\")\n",
|
||
"plt.title(\"Гистограмма баллов\")\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 56,
|
||
"id": "b1dd2b8f-40f4-4f68-9c6c-0fc797519d36",
|
||
"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 pandas as pd\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"\n",
|
||
"# Создаем DataFrame\n",
|
||
"df = pd.DataFrame({\n",
|
||
" \"Имя\": [\"Анна\", \"Борис\", \"Виктор\", \"Галина\"],\n",
|
||
" \"Возраст\": [21, 22, 23, 24],\n",
|
||
" \"Баллы\": [89, 76, 95, 82]\n",
|
||
"})\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": 58,
|
||
"id": "4cd20398-802a-44ce-9351-a40f0532f09d",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Построение scatterplot\n",
|
||
"sns.scatterplot(x=\"Возраст\", y=\"Баллы\", data=df, hue=\"Категория\")\n",
|
||
"plt.title(\"Диаграмма рассеяния: Возраст vs Баллы\")\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 66,
|
||
"id": "bf1a4ea4-318b-4d9b-bc2a-35359962e7bf",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 588.236x500 with 6 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Построение pairplot \n",
|
||
"sns.pairplot(df, hue=\"Категория\")\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 60,
|
||
"id": "b00a4d8f-161d-4575-8ee7-e4ae6e5528ee",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Построение heatmap (корреляции)\n",
|
||
"corr_matrix = df[[\"Возраст\", \"Баллы\"]].corr()\n",
|
||
"sns.heatmap(corr_matrix, annot=True, cmap=\"coolwarm\", linewidths=0.5)\n",
|
||
"plt.title(\"Корреляция между Возрастом и Баллами\")\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "ef7d904d-86fa-46da-8fe1-c6810a2c84f2",
|
||
"metadata": {},
|
||
"source": [
|
||
"#Прогресс-бар с tqdm"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 67,
|
||
"id": "708a6bd3-bb38-4098-b971-79b5cc52829d",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"100%|████████████████████████████████████████████████████████████████████████████████| 100/100 [00:01<00:00, 87.51it/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": 73,
|
||
"id": "bdb25d5d-c6b8-4b6e-b115-9f2d70b062a7",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Обработка данных: 100%|██████████████████████████████████████████████████████████████████| 4/4 [00:02<00:00, 1.97it/s]\n",
|
||
"Загрузка: 100%|██████████████████████████████████████████████████████████████████████| 100/100 [00:01<00:00, 78.51it/s]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"from tqdm import tqdm\n",
|
||
"import time\n",
|
||
"\n",
|
||
"# Создаем DataFrame\n",
|
||
"df = pd.DataFrame({\n",
|
||
" \"Имя\": [\"Анна\", \"Борис\", \"Виктор\", \"Галина\"],\n",
|
||
" \"Возраст\": [21, 22, 23, 24],\n",
|
||
" \"Баллы\": [89, 76, 95, 82]\n",
|
||
"})\n",
|
||
"\n",
|
||
"# Использование tqdm для перебора строк\n",
|
||
"for index, row in tqdm(df.iterrows(), total=df.shape[0], desc=\"Обработка данных\"):\n",
|
||
" time.sleep(0.5) # Симуляция долгой обработки данных\n",
|
||
"\n",
|
||
"\n",
|
||
"# Пример с кастомизацией\n",
|
||
"for i in tqdm(range(100), desc='Загрузка'):\n",
|
||
" time.sleep(0.01) # Симуляция долгого процесса"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "0f591112-2a5e-41ad-beec-6032d3b09bdc",
|
||
"metadata": {},
|
||
"source": [
|
||
"#Самостоятельное задание"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 77,
|
||
"id": "54e763f4-42f1-4d6a-9de0-dff868d1c79f",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" START_DATE END_DATE CATEGORY START STOP \\\n",
|
||
"0 01-01-2016 21:11 01-01-2016 21:17 Business Fort Pierce Fort Pierce \n",
|
||
"1 01-02-2016 01:25 01-02-2016 01:37 Business Fort Pierce Fort Pierce \n",
|
||
"2 01-02-2016 20:25 01-02-2016 20:38 Business Fort Pierce Fort Pierce \n",
|
||
"3 01-05-2016 17:31 01-05-2016 17:45 Business Fort Pierce Fort Pierce \n",
|
||
"4 01-06-2016 14:42 01-06-2016 15:49 Business Fort Pierce West Palm Beach \n",
|
||
"\n",
|
||
" MILES PURPOSE \n",
|
||
"0 5.1 Meal/Entertain \n",
|
||
"1 5.0 NaN \n",
|
||
"2 4.8 Errand/Supplies \n",
|
||
"3 4.7 Meeting \n",
|
||
"4 63.7 Customer Visit \n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"\n",
|
||
"df = pd.read_csv('D:/Практика. 2 курс/Task 2/UberDataset.csv')\n",
|
||
"\n",
|
||
"# Просмотр первых строк данных\n",
|
||
"print(df.head())\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 78,
|
||
"id": "96c20581-4a99-4001-9422-ab2aa6c0bff7",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"<class 'pandas.core.frame.DataFrame'>\n",
|
||
"RangeIndex: 1156 entries, 0 to 1155\n",
|
||
"Data columns (total 7 columns):\n",
|
||
" # Column Non-Null Count Dtype \n",
|
||
"--- ------ -------------- ----- \n",
|
||
" 0 START_DATE 1156 non-null object \n",
|
||
" 1 END_DATE 1155 non-null object \n",
|
||
" 2 CATEGORY 1155 non-null object \n",
|
||
" 3 START 1155 non-null object \n",
|
||
" 4 STOP 1155 non-null object \n",
|
||
" 5 MILES 1156 non-null float64\n",
|
||
" 6 PURPOSE 653 non-null object \n",
|
||
"dtypes: float64(1), object(6)\n",
|
||
"memory usage: 63.3+ KB\n",
|
||
"None\n",
|
||
" MILES\n",
|
||
"count 1156.000000\n",
|
||
"mean 21.115398\n",
|
||
"std 359.299007\n",
|
||
"min 0.500000\n",
|
||
"25% 2.900000\n",
|
||
"50% 6.000000\n",
|
||
"75% 10.400000\n",
|
||
"max 12204.700000\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Информация о данных\n",
|
||
"print(df.info())\n",
|
||
"\n",
|
||
"# Статистическое описание числовых данных\n",
|
||
"print(df.describe())"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "2b2bac93-b016-493d-95b6-9b0e5d733176",
|
||
"metadata": {},
|
||
"source": [
|
||
"#Исходя из вывода:\n",
|
||
"\n",
|
||
"Информация о данных (df.info()):\n",
|
||
"\n",
|
||
"В DataFrame 1156 строк и 7 столбцов.\n",
|
||
"Типы данных:\n",
|
||
"START_DATE, END_DATE, CATEGORY, START, STOP, PURPOSE: строковые данные (object).\n",
|
||
"MILES: числовые данные (тип float64).\n",
|
||
"\n",
|
||
"\n",
|
||
"Пропущенные значения:\n",
|
||
"\n",
|
||
"Столбец END_DATE имеет 1155 значений, то есть одно значение пропущено.\n",
|
||
"Столбец CATEGORY имеет 1155 значений, то есть одно значение пропущено.\n",
|
||
"Столбец START имеет 1155 значений, то есть одно значение пропущено.\n",
|
||
"Столбец STOP имеет 1155 значений, то есть одно значение пропущено.\n",
|
||
"Столбец PURPOSE имеет 653 значения, что указывает на большое количество пропущенных значений в этом столбце.\n",
|
||
"\n",
|
||
"Статистическое описание числового столбца (df.describe()):\n",
|
||
"\n",
|
||
"Среднее значение: 21.12\n",
|
||
"Стандартное отклонение: 359.30.\n",
|
||
"Минимальное значение: 0.5\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 94,
|
||
"id": "6e937299-57e1-4dd3-bbb2-a6bad6c65266",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"#Распределение поездок по времени суток\n",
|
||
"\n",
|
||
"# Вычисляем продолжительность поездок в минутах\n",
|
||
"df['duration'] = (df['END_DATE'] - df['START_DATE']).dt.total_seconds() / 60\n",
|
||
"\n",
|
||
"plt.figure(figsize=(10, 6))\n",
|
||
"sns.scatterplot(x=df['MILES'], y=df['duration'], alpha=0.5)\n",
|
||
"plt.title('Зависимость расстояния от длительности поездки')\n",
|
||
"plt.xlabel('Расстояние (мили)')\n",
|
||
"plt.ylabel('Длительность (минуты)')\n",
|
||
"plt.xlim(0, np.percentile(df['MILES'], 95)) # Ограничиваем выбросы\n",
|
||
"plt.ylim(0, np.percentile(df['duration'].dropna(), 95))\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 93,
|
||
"id": "2bd9dec5-7e37-4660-9f41-2faed70100da",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Распределение расстояний поездок\n",
|
||
"plt.figure(figsize=(10, 6))\n",
|
||
"sns.histplot(df['START_DATE'].dt.hour, bins=24, kde=True)\n",
|
||
"plt.title('Распределение поездок по времени суток')\n",
|
||
"plt.xlabel('Час')\n",
|
||
"plt.ylabel('Количество поездок')\n",
|
||
"plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 96,
|
||
"id": "554e725c-aeeb-429e-a049-df5662e4165c",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"#Категории поездок (Business vs. Personal)\n",
|
||
"plt.figure(figsize=(8, 6))\n",
|
||
"sns.boxplot(x=df['CATEGORY'], y=df['MILES'])\n",
|
||
"plt.title('Распределение расстояний поездок по категориям')\n",
|
||
"plt.xlabel('Категория')\n",
|
||
"plt.ylabel('Расстояние в милях')\n",
|
||
"plt.show()"
|
||
]
|
||
}
|
||
],
|
||
"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": "3.13.2"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|