2254 lines
368 KiB
Plaintext
2254 lines
368 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Лабораторная работа 1\n",
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"\n",
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"Вариант - 9\n",
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"\n",
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"Датасет - магазины\n",
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"\n",
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"Поля \n",
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"1. ID магазина\n",
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"2. площадь магазина \n",
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"3. количество разных товаров \n",
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"4. количество покупателей\n",
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"5. объем продаж"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Загрузка и сохранение данных"
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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": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"\n",
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"df = pd.read_csv(\"data/Stores.csv\")\n",
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"df.to_csv(\"data/Stores_updated.csv\", index=False)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Получение сведений о датафрейме с данными"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"1. Общая информация о датафрейме"
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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": 2,
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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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"<class 'pandas.core.frame.DataFrame'>\n",
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"RangeIndex: 896 entries, 0 to 895\n",
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"Data columns (total 5 columns):\n",
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" # Column Non-Null Count Dtype\n",
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"--- ------ -------------- -----\n",
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" 0 Store ID 896 non-null int64\n",
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" 1 Store_Area 896 non-null int64\n",
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" 2 Items_Available 896 non-null int64\n",
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" 3 Daily_Customer_Count 896 non-null int64\n",
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" 4 Store_Sales 896 non-null int64\n",
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"dtypes: int64(5)\n",
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"memory usage: 35.1 KB\n"
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]
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||
}
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||
],
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||
"source": [
|
||
"df.info()"
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]
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},
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{
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||
"cell_type": "markdown",
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||
"metadata": {},
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"source": [
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"2. Статистическая информация"
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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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||
"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",
|
||
" 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",
|
||
" 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>Store ID</th>\n",
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||
" <th>Store_Area</th>\n",
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||
" <th>Items_Available</th>\n",
|
||
" <th>Daily_Customer_Count</th>\n",
|
||
" <th>Store_Sales</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>count</th>\n",
|
||
" <td>896.000000</td>\n",
|
||
" <td>896.000000</td>\n",
|
||
" <td>896.000000</td>\n",
|
||
" <td>896.000000</td>\n",
|
||
" <td>896.000000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>mean</th>\n",
|
||
" <td>448.500000</td>\n",
|
||
" <td>1485.409598</td>\n",
|
||
" <td>1782.035714</td>\n",
|
||
" <td>786.350446</td>\n",
|
||
" <td>59351.305804</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>std</th>\n",
|
||
" <td>258.797218</td>\n",
|
||
" <td>250.237011</td>\n",
|
||
" <td>299.872053</td>\n",
|
||
" <td>265.389281</td>\n",
|
||
" <td>17190.741895</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>min</th>\n",
|
||
" <td>1.000000</td>\n",
|
||
" <td>775.000000</td>\n",
|
||
" <td>932.000000</td>\n",
|
||
" <td>10.000000</td>\n",
|
||
" <td>14920.000000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>25%</th>\n",
|
||
" <td>224.750000</td>\n",
|
||
" <td>1316.750000</td>\n",
|
||
" <td>1575.500000</td>\n",
|
||
" <td>600.000000</td>\n",
|
||
" <td>46530.000000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>50%</th>\n",
|
||
" <td>448.500000</td>\n",
|
||
" <td>1477.000000</td>\n",
|
||
" <td>1773.500000</td>\n",
|
||
" <td>780.000000</td>\n",
|
||
" <td>58605.000000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>75%</th>\n",
|
||
" <td>672.250000</td>\n",
|
||
" <td>1653.500000</td>\n",
|
||
" <td>1982.750000</td>\n",
|
||
" <td>970.000000</td>\n",
|
||
" <td>71872.500000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>max</th>\n",
|
||
" <td>896.000000</td>\n",
|
||
" <td>2229.000000</td>\n",
|
||
" <td>2667.000000</td>\n",
|
||
" <td>1560.000000</td>\n",
|
||
" <td>116320.000000</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
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||
],
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||
"text/plain": [
|
||
" Store ID Store_Area Items_Available Daily_Customer_Count \\\n",
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||
"count 896.000000 896.000000 896.000000 896.000000 \n",
|
||
"mean 448.500000 1485.409598 1782.035714 786.350446 \n",
|
||
"std 258.797218 250.237011 299.872053 265.389281 \n",
|
||
"min 1.000000 775.000000 932.000000 10.000000 \n",
|
||
"25% 224.750000 1316.750000 1575.500000 600.000000 \n",
|
||
"50% 448.500000 1477.000000 1773.500000 780.000000 \n",
|
||
"75% 672.250000 1653.500000 1982.750000 970.000000 \n",
|
||
"max 896.000000 2229.000000 2667.000000 1560.000000 \n",
|
||
"\n",
|
||
" Store_Sales \n",
|
||
"count 896.000000 \n",
|
||
"mean 59351.305804 \n",
|
||
"std 17190.741895 \n",
|
||
"min 14920.000000 \n",
|
||
"25% 46530.000000 \n",
|
||
"50% 58605.000000 \n",
|
||
"75% 71872.500000 \n",
|
||
"max 116320.000000 "
|
||
]
|
||
},
|
||
"execution_count": 3,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.describe()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Получение сведений о колонках датафрейма"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"1. Названия колонок"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 4,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"Index(['Store ID ', 'Store_Area', 'Items_Available', 'Daily_Customer_Count',\n",
|
||
" 'Store_Sales'],\n",
|
||
" dtype='object')"
|
||
]
|
||
},
|
||
"execution_count": 4,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.columns"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Вывод отдельных строк и столбцов"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"1. Столбец \"Store_Area\""
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 5,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
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"<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",
|
||
" vertical-align: top;\n",
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" }\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>Store_Area</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>1659</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>1461</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>1340</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>1451</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>1770</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>891</th>\n",
|
||
" <td>1582</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>892</th>\n",
|
||
" <td>1387</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>893</th>\n",
|
||
" <td>1200</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>894</th>\n",
|
||
" <td>1299</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>895</th>\n",
|
||
" <td>1174</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>896 rows × 1 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Store_Area\n",
|
||
"0 1659\n",
|
||
"1 1461\n",
|
||
"2 1340\n",
|
||
"3 1451\n",
|
||
"4 1770\n",
|
||
".. ...\n",
|
||
"891 1582\n",
|
||
"892 1387\n",
|
||
"893 1200\n",
|
||
"894 1299\n",
|
||
"895 1174\n",
|
||
"\n",
|
||
"[896 rows x 1 columns]"
|
||
]
|
||
},
|
||
"execution_count": 5,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df[[\"Store_Area\"]]"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"2. Несколько столбцокв"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 6,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
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"<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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" .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",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Store ID</th>\n",
|
||
" <th>Store_Sales</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>1</td>\n",
|
||
" <td>66490</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>2</td>\n",
|
||
" <td>39820</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>3</td>\n",
|
||
" <td>54010</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>4</td>\n",
|
||
" <td>53730</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>5</td>\n",
|
||
" <td>46620</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>891</th>\n",
|
||
" <td>892</td>\n",
|
||
" <td>66390</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>892</th>\n",
|
||
" <td>893</td>\n",
|
||
" <td>82080</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>893</th>\n",
|
||
" <td>894</td>\n",
|
||
" <td>76440</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>894</th>\n",
|
||
" <td>895</td>\n",
|
||
" <td>96610</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>895</th>\n",
|
||
" <td>896</td>\n",
|
||
" <td>54340</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>896 rows × 2 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Store ID Store_Sales\n",
|
||
"0 1 66490\n",
|
||
"1 2 39820\n",
|
||
"2 3 54010\n",
|
||
"3 4 53730\n",
|
||
"4 5 46620\n",
|
||
".. ... ...\n",
|
||
"891 892 66390\n",
|
||
"892 893 82080\n",
|
||
"893 894 76440\n",
|
||
"894 895 96610\n",
|
||
"895 896 54340\n",
|
||
"\n",
|
||
"[896 rows x 2 columns]"
|
||
]
|
||
},
|
||
"execution_count": 6,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df[[\"Store ID \", \"Store_Sales\"]]"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"3. Первая строка"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 7,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
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"<div>\n",
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"<style scoped>\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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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <th></th>\n",
|
||
" <th>Store ID</th>\n",
|
||
" <th>Store_Area</th>\n",
|
||
" <th>Items_Available</th>\n",
|
||
" <th>Daily_Customer_Count</th>\n",
|
||
" <th>Store_Sales</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>66490</td>\n",
|
||
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|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Store ID Store_Area Items_Available Daily_Customer_Count Store_Sales\n",
|
||
"0 1 1659 1961 530 66490"
|
||
]
|
||
},
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
"df.iloc[[0]]"
|
||
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|
||
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|
||
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|
||
"cell_type": "markdown",
|
||
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|
||
"source": [
|
||
"4. Вывод по условию"
|
||
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|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 8,
|
||
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|
||
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|
||
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|
||
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>210</td>\n",
|
||
" <td>39820</td>\n",
|
||
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|
||
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|
||
" <th>2</th>\n",
|
||
" <td>3</td>\n",
|
||
" <td>1340</td>\n",
|
||
" <td>1609</td>\n",
|
||
" <td>720</td>\n",
|
||
" <td>54010</td>\n",
|
||
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|
||
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|
||
" <th>3</th>\n",
|
||
" <td>4</td>\n",
|
||
" <td>1451</td>\n",
|
||
" <td>1748</td>\n",
|
||
" <td>620</td>\n",
|
||
" <td>53730</td>\n",
|
||
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|
||
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|
||
" <th>4</th>\n",
|
||
" <td>5</td>\n",
|
||
" <td>1770</td>\n",
|
||
" <td>2111</td>\n",
|
||
" <td>450</td>\n",
|
||
" <td>46620</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>891</th>\n",
|
||
" <td>892</td>\n",
|
||
" <td>1582</td>\n",
|
||
" <td>1910</td>\n",
|
||
" <td>1080</td>\n",
|
||
" <td>66390</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>892</th>\n",
|
||
" <td>893</td>\n",
|
||
" <td>1387</td>\n",
|
||
" <td>1663</td>\n",
|
||
" <td>850</td>\n",
|
||
" <td>82080</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>893</th>\n",
|
||
" <td>894</td>\n",
|
||
" <td>1200</td>\n",
|
||
" <td>1436</td>\n",
|
||
" <td>1060</td>\n",
|
||
" <td>76440</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>894</th>\n",
|
||
" <td>895</td>\n",
|
||
" <td>1299</td>\n",
|
||
" <td>1560</td>\n",
|
||
" <td>770</td>\n",
|
||
" <td>96610</td>\n",
|
||
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|
||
" <tr>\n",
|
||
" <th>895</th>\n",
|
||
" <td>896</td>\n",
|
||
" <td>1174</td>\n",
|
||
" <td>1429</td>\n",
|
||
" <td>1110</td>\n",
|
||
" <td>54340</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>896 rows × 5 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Store ID Store_Area Items_Available Daily_Customer_Count Store_Sales\n",
|
||
"0 1 1659 1961 530 66490\n",
|
||
"1 2 1461 1752 210 39820\n",
|
||
"2 3 1340 1609 720 54010\n",
|
||
"3 4 1451 1748 620 53730\n",
|
||
"4 5 1770 2111 450 46620\n",
|
||
".. ... ... ... ... ...\n",
|
||
"891 892 1582 1910 1080 66390\n",
|
||
"892 893 1387 1663 850 82080\n",
|
||
"893 894 1200 1436 1060 76440\n",
|
||
"894 895 1299 1560 770 96610\n",
|
||
"895 896 1174 1429 1110 54340\n",
|
||
"\n",
|
||
"[896 rows x 5 columns]"
|
||
]
|
||
},
|
||
"execution_count": 8,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
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|
||
],
|
||
"source": [
|
||
"df[df[\"Store_Sales\"] > 2000]"
|
||
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|
||
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|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Группировка и агрегация данных"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"1. Средняя продажа по каждому магазину"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 9,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <th>2</th>\n",
|
||
" <td>39820.0</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <th>4</th>\n",
|
||
" <td>53730.0</td>\n",
|
||
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|
||
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|
||
" <th>5</th>\n",
|
||
" <td>46620.0</td>\n",
|
||
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|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
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|
||
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|
||
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|
||
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|
||
" <td>66390.0</td>\n",
|
||
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|
||
" <tr>\n",
|
||
" <th>893</th>\n",
|
||
" <td>82080.0</td>\n",
|
||
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|
||
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|
||
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|
||
" <td>76440.0</td>\n",
|
||
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|
||
" <tr>\n",
|
||
" <th>895</th>\n",
|
||
" <td>96610.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>896</th>\n",
|
||
" <td>54340.0</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>896 rows × 1 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Store_Sales\n",
|
||
"Store ID \n",
|
||
"1 66490.0\n",
|
||
"2 39820.0\n",
|
||
"3 54010.0\n",
|
||
"4 53730.0\n",
|
||
"5 46620.0\n",
|
||
"... ...\n",
|
||
"892 66390.0\n",
|
||
"893 82080.0\n",
|
||
"894 76440.0\n",
|
||
"895 96610.0\n",
|
||
"896 54340.0\n",
|
||
"\n",
|
||
"[896 rows x 1 columns]"
|
||
]
|
||
},
|
||
"execution_count": 9,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.groupby([\"Store ID \"])[[\"Store_Sales\"]].mean()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"2. Для каждого магазина общая сумма продаж и среднее количество посетителей"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <th>Daily_Customer_Count</th>\n",
|
||
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|
||
" <tr>\n",
|
||
" <th>Store ID</th>\n",
|
||
" <th></th>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <th>1</th>\n",
|
||
" <td>66490</td>\n",
|
||
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|
||
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|
||
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|
||
" <th>2</th>\n",
|
||
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|
||
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|
||
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|
||
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|
||
" <th>3</th>\n",
|
||
" <td>54010</td>\n",
|
||
" <td>720.0</td>\n",
|
||
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|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>53730</td>\n",
|
||
" <td>620.0</td>\n",
|
||
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|
||
" <tr>\n",
|
||
" <th>5</th>\n",
|
||
" <td>46620</td>\n",
|
||
" <td>450.0</td>\n",
|
||
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|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>892</th>\n",
|
||
" <td>66390</td>\n",
|
||
" <td>1080.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>893</th>\n",
|
||
" <td>82080</td>\n",
|
||
" <td>850.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>894</th>\n",
|
||
" <td>76440</td>\n",
|
||
" <td>1060.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>895</th>\n",
|
||
" <td>96610</td>\n",
|
||
" <td>770.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>896</th>\n",
|
||
" <td>54340</td>\n",
|
||
" <td>1110.0</td>\n",
|
||
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|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>896 rows × 2 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Store_Sales Daily_Customer_Count\n",
|
||
"Store ID \n",
|
||
"1 66490 530.0\n",
|
||
"2 39820 210.0\n",
|
||
"3 54010 720.0\n",
|
||
"4 53730 620.0\n",
|
||
"5 46620 450.0\n",
|
||
"... ... ...\n",
|
||
"892 66390 1080.0\n",
|
||
"893 82080 850.0\n",
|
||
"894 76440 1060.0\n",
|
||
"895 96610 770.0\n",
|
||
"896 54340 1110.0\n",
|
||
"\n",
|
||
"[896 rows x 2 columns]"
|
||
]
|
||
},
|
||
"execution_count": 10,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.groupby(\"Store ID \").agg({\"Store_Sales\": \"sum\", \"Daily_Customer_Count\": \"mean\"})"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Сортировка данных"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"1. Сортировка по продажам по убыванию"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
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"<div>\n",
|
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"<style scoped>\n",
|
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|
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|
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|
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|
||
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Store ID</th>\n",
|
||
" <th>Store_Area</th>\n",
|
||
" <th>Items_Available</th>\n",
|
||
" <th>Daily_Customer_Count</th>\n",
|
||
" <th>Store_Sales</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>649</th>\n",
|
||
" <td>650</td>\n",
|
||
" <td>1989</td>\n",
|
||
" <td>2414</td>\n",
|
||
" <td>860</td>\n",
|
||
" <td>116320</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>868</th>\n",
|
||
" <td>869</td>\n",
|
||
" <td>1775</td>\n",
|
||
" <td>2104</td>\n",
|
||
" <td>980</td>\n",
|
||
" <td>105150</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>432</th>\n",
|
||
" <td>433</td>\n",
|
||
" <td>1365</td>\n",
|
||
" <td>1638</td>\n",
|
||
" <td>680</td>\n",
|
||
" <td>102920</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>408</th>\n",
|
||
" <td>409</td>\n",
|
||
" <td>1303</td>\n",
|
||
" <td>1587</td>\n",
|
||
" <td>1310</td>\n",
|
||
" <td>102310</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>758</th>\n",
|
||
" <td>759</td>\n",
|
||
" <td>1486</td>\n",
|
||
" <td>1758</td>\n",
|
||
" <td>820</td>\n",
|
||
" <td>101820</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>352</th>\n",
|
||
" <td>353</td>\n",
|
||
" <td>1397</td>\n",
|
||
" <td>1686</td>\n",
|
||
" <td>850</td>\n",
|
||
" <td>21300</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>593</th>\n",
|
||
" <td>594</td>\n",
|
||
" <td>1624</td>\n",
|
||
" <td>1946</td>\n",
|
||
" <td>870</td>\n",
|
||
" <td>20270</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>775</th>\n",
|
||
" <td>776</td>\n",
|
||
" <td>1537</td>\n",
|
||
" <td>1877</td>\n",
|
||
" <td>660</td>\n",
|
||
" <td>17670</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>852</th>\n",
|
||
" <td>853</td>\n",
|
||
" <td>1477</td>\n",
|
||
" <td>1790</td>\n",
|
||
" <td>880</td>\n",
|
||
" <td>16370</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>31</th>\n",
|
||
" <td>32</td>\n",
|
||
" <td>1250</td>\n",
|
||
" <td>1508</td>\n",
|
||
" <td>990</td>\n",
|
||
" <td>14920</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>896 rows × 5 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Store ID Store_Area Items_Available Daily_Customer_Count Store_Sales\n",
|
||
"649 650 1989 2414 860 116320\n",
|
||
"868 869 1775 2104 980 105150\n",
|
||
"432 433 1365 1638 680 102920\n",
|
||
"408 409 1303 1587 1310 102310\n",
|
||
"758 759 1486 1758 820 101820\n",
|
||
".. ... ... ... ... ...\n",
|
||
"352 353 1397 1686 850 21300\n",
|
||
"593 594 1624 1946 870 20270\n",
|
||
"775 776 1537 1877 660 17670\n",
|
||
"852 853 1477 1790 880 16370\n",
|
||
"31 32 1250 1508 990 14920\n",
|
||
"\n",
|
||
"[896 rows x 5 columns]"
|
||
]
|
||
},
|
||
"execution_count": 11,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.sort_values(\"Store_Sales\", ascending=False)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"2. Сортировка по нескольким столбцам"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 12,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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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>Store ID</th>\n",
|
||
" <th>Store_Area</th>\n",
|
||
" <th>Items_Available</th>\n",
|
||
" <th>Daily_Customer_Count</th>\n",
|
||
" <th>Store_Sales</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>158</th>\n",
|
||
" <td>159</td>\n",
|
||
" <td>775</td>\n",
|
||
" <td>932</td>\n",
|
||
" <td>1090</td>\n",
|
||
" <td>42530</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>865</th>\n",
|
||
" <td>866</td>\n",
|
||
" <td>780</td>\n",
|
||
" <td>951</td>\n",
|
||
" <td>790</td>\n",
|
||
" <td>25600</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>744</th>\n",
|
||
" <td>745</td>\n",
|
||
" <td>854</td>\n",
|
||
" <td>1018</td>\n",
|
||
" <td>660</td>\n",
|
||
" <td>77740</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>549</th>\n",
|
||
" <td>550</td>\n",
|
||
" <td>869</td>\n",
|
||
" <td>1050</td>\n",
|
||
" <td>850</td>\n",
|
||
" <td>52540</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>72</th>\n",
|
||
" <td>73</td>\n",
|
||
" <td>891</td>\n",
|
||
" <td>1073</td>\n",
|
||
" <td>630</td>\n",
|
||
" <td>67370</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>398</th>\n",
|
||
" <td>399</td>\n",
|
||
" <td>2063</td>\n",
|
||
" <td>2493</td>\n",
|
||
" <td>810</td>\n",
|
||
" <td>51480</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>849</th>\n",
|
||
" <td>850</td>\n",
|
||
" <td>2067</td>\n",
|
||
" <td>2492</td>\n",
|
||
" <td>790</td>\n",
|
||
" <td>70230</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>91</th>\n",
|
||
" <td>92</td>\n",
|
||
" <td>2169</td>\n",
|
||
" <td>2617</td>\n",
|
||
" <td>600</td>\n",
|
||
" <td>67080</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>540</th>\n",
|
||
" <td>541</td>\n",
|
||
" <td>2214</td>\n",
|
||
" <td>2647</td>\n",
|
||
" <td>740</td>\n",
|
||
" <td>65900</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>466</th>\n",
|
||
" <td>467</td>\n",
|
||
" <td>2229</td>\n",
|
||
" <td>2667</td>\n",
|
||
" <td>660</td>\n",
|
||
" <td>87410</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>896 rows × 5 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Store ID Store_Area Items_Available Daily_Customer_Count Store_Sales\n",
|
||
"158 159 775 932 1090 42530\n",
|
||
"865 866 780 951 790 25600\n",
|
||
"744 745 854 1018 660 77740\n",
|
||
"549 550 869 1050 850 52540\n",
|
||
"72 73 891 1073 630 67370\n",
|
||
".. ... ... ... ... ...\n",
|
||
"398 399 2063 2493 810 51480\n",
|
||
"849 850 2067 2492 790 70230\n",
|
||
"91 92 2169 2617 600 67080\n",
|
||
"540 541 2214 2647 740 65900\n",
|
||
"466 467 2229 2667 660 87410\n",
|
||
"\n",
|
||
"[896 rows x 5 columns]"
|
||
]
|
||
},
|
||
"execution_count": 12,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.sort_values([\"Store_Area\", \"Store_Sales\"], ascending=[True, False])"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Удаление строк/столбцов"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"1. Удаление столбца"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 13,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
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|
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|
||
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|
||
"\n",
|
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|
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|
||
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|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
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|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Store ID</th>\n",
|
||
" <th>Items_Available</th>\n",
|
||
" <th>Daily_Customer_Count</th>\n",
|
||
" <th>Store_Sales</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1961</td>\n",
|
||
" <td>530</td>\n",
|
||
" <td>66490</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>2</td>\n",
|
||
" <td>1752</td>\n",
|
||
" <td>210</td>\n",
|
||
" <td>39820</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>3</td>\n",
|
||
" <td>1609</td>\n",
|
||
" <td>720</td>\n",
|
||
" <td>54010</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>4</td>\n",
|
||
" <td>1748</td>\n",
|
||
" <td>620</td>\n",
|
||
" <td>53730</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>5</td>\n",
|
||
" <td>2111</td>\n",
|
||
" <td>450</td>\n",
|
||
" <td>46620</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>891</th>\n",
|
||
" <td>892</td>\n",
|
||
" <td>1910</td>\n",
|
||
" <td>1080</td>\n",
|
||
" <td>66390</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>892</th>\n",
|
||
" <td>893</td>\n",
|
||
" <td>1663</td>\n",
|
||
" <td>850</td>\n",
|
||
" <td>82080</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>893</th>\n",
|
||
" <td>894</td>\n",
|
||
" <td>1436</td>\n",
|
||
" <td>1060</td>\n",
|
||
" <td>76440</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>894</th>\n",
|
||
" <td>895</td>\n",
|
||
" <td>1560</td>\n",
|
||
" <td>770</td>\n",
|
||
" <td>96610</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>895</th>\n",
|
||
" <td>896</td>\n",
|
||
" <td>1429</td>\n",
|
||
" <td>1110</td>\n",
|
||
" <td>54340</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>896 rows × 4 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Store ID Items_Available Daily_Customer_Count Store_Sales\n",
|
||
"0 1 1961 530 66490\n",
|
||
"1 2 1752 210 39820\n",
|
||
"2 3 1609 720 54010\n",
|
||
"3 4 1748 620 53730\n",
|
||
"4 5 2111 450 46620\n",
|
||
".. ... ... ... ...\n",
|
||
"891 892 1910 1080 66390\n",
|
||
"892 893 1663 850 82080\n",
|
||
"893 894 1436 1060 76440\n",
|
||
"894 895 1560 770 96610\n",
|
||
"895 896 1429 1110 54340\n",
|
||
"\n",
|
||
"[896 rows x 4 columns]"
|
||
]
|
||
},
|
||
"execution_count": 13,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.drop(\"Store_Area\", axis=1)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Удаление строки"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 14,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Store ID</th>\n",
|
||
" <th>Store_Area</th>\n",
|
||
" <th>Items_Available</th>\n",
|
||
" <th>Daily_Customer_Count</th>\n",
|
||
" <th>Store_Sales</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>2</td>\n",
|
||
" <td>1461</td>\n",
|
||
" <td>1752</td>\n",
|
||
" <td>210</td>\n",
|
||
" <td>39820</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>3</td>\n",
|
||
" <td>1340</td>\n",
|
||
" <td>1609</td>\n",
|
||
" <td>720</td>\n",
|
||
" <td>54010</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>4</td>\n",
|
||
" <td>1451</td>\n",
|
||
" <td>1748</td>\n",
|
||
" <td>620</td>\n",
|
||
" <td>53730</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>5</td>\n",
|
||
" <td>1770</td>\n",
|
||
" <td>2111</td>\n",
|
||
" <td>450</td>\n",
|
||
" <td>46620</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>5</th>\n",
|
||
" <td>6</td>\n",
|
||
" <td>1442</td>\n",
|
||
" <td>1733</td>\n",
|
||
" <td>760</td>\n",
|
||
" <td>45260</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>891</th>\n",
|
||
" <td>892</td>\n",
|
||
" <td>1582</td>\n",
|
||
" <td>1910</td>\n",
|
||
" <td>1080</td>\n",
|
||
" <td>66390</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>892</th>\n",
|
||
" <td>893</td>\n",
|
||
" <td>1387</td>\n",
|
||
" <td>1663</td>\n",
|
||
" <td>850</td>\n",
|
||
" <td>82080</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>893</th>\n",
|
||
" <td>894</td>\n",
|
||
" <td>1200</td>\n",
|
||
" <td>1436</td>\n",
|
||
" <td>1060</td>\n",
|
||
" <td>76440</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>894</th>\n",
|
||
" <td>895</td>\n",
|
||
" <td>1299</td>\n",
|
||
" <td>1560</td>\n",
|
||
" <td>770</td>\n",
|
||
" <td>96610</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>895</th>\n",
|
||
" <td>896</td>\n",
|
||
" <td>1174</td>\n",
|
||
" <td>1429</td>\n",
|
||
" <td>1110</td>\n",
|
||
" <td>54340</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>895 rows × 5 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Store ID Store_Area Items_Available Daily_Customer_Count Store_Sales\n",
|
||
"1 2 1461 1752 210 39820\n",
|
||
"2 3 1340 1609 720 54010\n",
|
||
"3 4 1451 1748 620 53730\n",
|
||
"4 5 1770 2111 450 46620\n",
|
||
"5 6 1442 1733 760 45260\n",
|
||
".. ... ... ... ... ...\n",
|
||
"891 892 1582 1910 1080 66390\n",
|
||
"892 893 1387 1663 850 82080\n",
|
||
"893 894 1200 1436 1060 76440\n",
|
||
"894 895 1299 1560 770 96610\n",
|
||
"895 896 1174 1429 1110 54340\n",
|
||
"\n",
|
||
"[895 rows x 5 columns]"
|
||
]
|
||
},
|
||
"execution_count": 14,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.drop(0, axis=0)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Создание новых столбцов"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"1. Создание нового столбца с доходом на одного клиента"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 15,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
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|
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|
||
"\n",
|
||
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|
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|
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|
||
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|
||
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||
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|
||
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|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Revenue_per_Customer</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>125.452830</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>189.619048</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>75.013889</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>86.661290</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>103.600000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>891</th>\n",
|
||
" <td>61.472222</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>892</th>\n",
|
||
" <td>96.564706</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>893</th>\n",
|
||
" <td>72.113208</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>894</th>\n",
|
||
" <td>125.467532</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>895</th>\n",
|
||
" <td>48.954955</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>896 rows × 1 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Revenue_per_Customer\n",
|
||
"0 125.452830\n",
|
||
"1 189.619048\n",
|
||
"2 75.013889\n",
|
||
"3 86.661290\n",
|
||
"4 103.600000\n",
|
||
".. ...\n",
|
||
"891 61.472222\n",
|
||
"892 96.564706\n",
|
||
"893 72.113208\n",
|
||
"894 125.467532\n",
|
||
"895 48.954955\n",
|
||
"\n",
|
||
"[896 rows x 1 columns]"
|
||
]
|
||
},
|
||
"execution_count": 15,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df[\"Revenue_per_Customer\"] = df[\"Store_Sales\"] / df[\"Daily_Customer_Count\"]\n",
|
||
"df[[\"Revenue_per_Customer\"]]"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Удаление строк с пустыми значениями"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"1. Удаление строк с NaN"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 16,
|
||
"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>Store ID</th>\n",
|
||
" <th>Store_Area</th>\n",
|
||
" <th>Items_Available</th>\n",
|
||
" <th>Daily_Customer_Count</th>\n",
|
||
" <th>Store_Sales</th>\n",
|
||
" <th>Revenue_per_Customer</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1659</td>\n",
|
||
" <td>1961</td>\n",
|
||
" <td>530</td>\n",
|
||
" <td>66490</td>\n",
|
||
" <td>125.452830</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>2</td>\n",
|
||
" <td>1461</td>\n",
|
||
" <td>1752</td>\n",
|
||
" <td>210</td>\n",
|
||
" <td>39820</td>\n",
|
||
" <td>189.619048</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>3</td>\n",
|
||
" <td>1340</td>\n",
|
||
" <td>1609</td>\n",
|
||
" <td>720</td>\n",
|
||
" <td>54010</td>\n",
|
||
" <td>75.013889</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>4</td>\n",
|
||
" <td>1451</td>\n",
|
||
" <td>1748</td>\n",
|
||
" <td>620</td>\n",
|
||
" <td>53730</td>\n",
|
||
" <td>86.661290</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>5</td>\n",
|
||
" <td>1770</td>\n",
|
||
" <td>2111</td>\n",
|
||
" <td>450</td>\n",
|
||
" <td>46620</td>\n",
|
||
" <td>103.600000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>891</th>\n",
|
||
" <td>892</td>\n",
|
||
" <td>1582</td>\n",
|
||
" <td>1910</td>\n",
|
||
" <td>1080</td>\n",
|
||
" <td>66390</td>\n",
|
||
" <td>61.472222</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>892</th>\n",
|
||
" <td>893</td>\n",
|
||
" <td>1387</td>\n",
|
||
" <td>1663</td>\n",
|
||
" <td>850</td>\n",
|
||
" <td>82080</td>\n",
|
||
" <td>96.564706</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>893</th>\n",
|
||
" <td>894</td>\n",
|
||
" <td>1200</td>\n",
|
||
" <td>1436</td>\n",
|
||
" <td>1060</td>\n",
|
||
" <td>76440</td>\n",
|
||
" <td>72.113208</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>894</th>\n",
|
||
" <td>895</td>\n",
|
||
" <td>1299</td>\n",
|
||
" <td>1560</td>\n",
|
||
" <td>770</td>\n",
|
||
" <td>96610</td>\n",
|
||
" <td>125.467532</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>895</th>\n",
|
||
" <td>896</td>\n",
|
||
" <td>1174</td>\n",
|
||
" <td>1429</td>\n",
|
||
" <td>1110</td>\n",
|
||
" <td>54340</td>\n",
|
||
" <td>48.954955</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>896 rows × 6 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Store ID Store_Area Items_Available Daily_Customer_Count \\\n",
|
||
"0 1 1659 1961 530 \n",
|
||
"1 2 1461 1752 210 \n",
|
||
"2 3 1340 1609 720 \n",
|
||
"3 4 1451 1748 620 \n",
|
||
"4 5 1770 2111 450 \n",
|
||
".. ... ... ... ... \n",
|
||
"891 892 1582 1910 1080 \n",
|
||
"892 893 1387 1663 850 \n",
|
||
"893 894 1200 1436 1060 \n",
|
||
"894 895 1299 1560 770 \n",
|
||
"895 896 1174 1429 1110 \n",
|
||
"\n",
|
||
" Store_Sales Revenue_per_Customer \n",
|
||
"0 66490 125.452830 \n",
|
||
"1 39820 189.619048 \n",
|
||
"2 54010 75.013889 \n",
|
||
"3 53730 86.661290 \n",
|
||
"4 46620 103.600000 \n",
|
||
".. ... ... \n",
|
||
"891 66390 61.472222 \n",
|
||
"892 82080 96.564706 \n",
|
||
"893 76440 72.113208 \n",
|
||
"894 96610 125.467532 \n",
|
||
"895 54340 48.954955 \n",
|
||
"\n",
|
||
"[896 rows x 6 columns]"
|
||
]
|
||
},
|
||
"execution_count": 16,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.dropna()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"2. Заполнить пустые значения для определённого столбца"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 17,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df.fillna({\"Store_Sales\": df[\"Store_Sales\"].mean()}, inplace=True)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Заполнение пустых значений"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"1. Заполнение средним значением"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 18,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df.fillna(df.mean(), inplace=True)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Визуализация данных с Pandas и Matplotlib"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"1. Линейная диаграмма (plot). Продажи по магазинам"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 19,
|
||
"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",
|
||
"df.plot(x=\"Store ID \", y=\"Store_Sales\", kind=\"line\")\n",
|
||
"\n",
|
||
"plt.xlabel(\"Store ID\") \n",
|
||
"plt.ylabel(\"Store Sales\")\n",
|
||
"plt.title(\"Store Sales by Store ID\")\n",
|
||
"\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"2. Столбчатая диаграмма (bar). Средние продажи"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 20,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.plot(x=\"Store ID \", y=\"Store_Sales\", kind=\"bar\")\n",
|
||
"\n",
|
||
"plt.xlabel(\"Store ID\") \n",
|
||
"plt.ylabel(\"Store Sales\")\n",
|
||
"plt.title(\"Store Sales by Store ID\")\n",
|
||
"\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"3. Гистограмма (hist). Распределение количества товаров"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 21,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"df[\"Items_Available\"].plot(kind=\"hist\")\n",
|
||
"\n",
|
||
"plt.xlabel(\"Number of Items Available\") \n",
|
||
"plt.ylabel(\"Frequency\") \n",
|
||
"plt.title(\"Distribution of Items Available in Stores\") \n",
|
||
"\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"4. Ящик с усами (box). Продажи"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 22,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"df[\"Store_Sales\"].plot(kind=\"box\")\n",
|
||
"\n",
|
||
"plt.ylabel(\"Store Sales (US $)\") \n",
|
||
"plt.title(\"Box Plot of Store Sales\") \n",
|
||
"\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"5. Диаграмма с областями (area). "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 23,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.plot(x=\"Store ID \", y=\"Store_Sales\", kind=\"area\")\n",
|
||
"\n",
|
||
"plt.xlabel(\"Store ID\") \n",
|
||
"plt.ylabel(\"Store Sales\")\n",
|
||
"plt.title(\"Store Sales by Store ID\")\n",
|
||
"\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"6. Диаграмма рассеяния (scatter). Зависимость продаж от количества посетителей"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 24,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.plot(kind=\"scatter\", x=\"Daily_Customer_Count\", y=\"Store_Sales\")\n",
|
||
"\n",
|
||
"plt.xlabel(\"Daily Customer Count\") \n",
|
||
"plt.ylabel(\"Store Sales (US $)\")\n",
|
||
"plt.title(\"Store Sales vs. Daily Customer Count\") \n",
|
||
"\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"7. Круговая диаграмма (pie). Количество товаров"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 25,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Определение порога для объединения редких значений\n",
|
||
"threshold = 0.02 # Порог 2%\n",
|
||
"\n",
|
||
"# Подсчёт количества уникальных значений и расчёт частот\n",
|
||
"value_counts = df[\"Daily_Customer_Count\"].value_counts()\n",
|
||
"total_count = value_counts.sum()\n",
|
||
"\n",
|
||
"# Условие для агрегации значений ниже порога\n",
|
||
"other_values = value_counts[value_counts / total_count < threshold].sum()\n",
|
||
"main_values = value_counts[value_counts / total_count >= threshold]\n",
|
||
"\n",
|
||
"# Добавление категории \"Other\"\n",
|
||
"main_values[\"Other\"] = other_values\n",
|
||
"\n",
|
||
"# Построение диаграммы\n",
|
||
"main_values.plot(kind=\"pie\", \n",
|
||
" autopct='%1.1f%%', # Проценты\n",
|
||
" startangle=90, # Начальный угол\n",
|
||
" counterclock=False, # По часовой стрелке\n",
|
||
" cmap=\"Set3\", # Цветовая схема\n",
|
||
" wedgeprops={'edgecolor': 'black'}) # Границы сегментов\n",
|
||
"\n",
|
||
"plt.title(\"Distribution of Daily Customer Count in Stores (Aggregated)\")\n",
|
||
"plt.subplots_adjust(left=0.3, right=0.7, top=0.9, bottom=0.1)\n",
|
||
"plt.show()\n"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": ".venv",
|
||
"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": "3.12.5"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 2
|
||
}
|