251 lines
6.7 KiB
Plaintext
251 lines
6.7 KiB
Plaintext
{
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"cells": [
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"cell_type": "code",
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"id": "75d19e99-7e7a-47f6-9e31-537e645d8f3c",
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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.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 str \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), str(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": 2,
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"id": "5d78faf3-86e3-4af2-938a-9c49db11ca0b",
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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",
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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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"</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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"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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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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"source": [
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"df"
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},
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{
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"cell_type": "code",
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"id": "1bc4b60e-2c46-4cf7-8da7-08770555c62f",
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"metadata": {},
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Имя</th>\n",
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" <th>Возраст</th>\n",
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" <th>Баллы</th>\n",
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" <th>Новый столбец</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>Борис</td>\n",
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" <td>22</td>\n",
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" <td>76</td>\n",
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" <td>83.6</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>Виктор</td>\n",
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" <td>23</td>\n",
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" <td>95</td>\n",
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" <td>104.5</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>Галина</td>\n",
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" <td>24</td>\n",
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" <td>82</td>\n",
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" <td>90.2</td>\n",
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" </tr>\n",
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"text/plain": [
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" Имя Возраст Баллы Новый столбец\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": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df[\"Новый столбец\"] = df[\"Баллы\"] * 1.1\n",
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"df\n",
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"df.groupby(\"Имя\").agg({\"Баллы\": \"mean\"})\n",
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"df[df[\"Возраст\"] > 21]"
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]
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},
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{
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