добавил все файлы

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Данила Копылов 2025-05-18 15:22:05 +03:00
parent 0fb04191fe
commit fbf0f82b34
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.idea
.venv
.ipynb_checkpoints

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week2_analysis.ipynb Normal file
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "43d948e5-c6ab-49bc-af02-cce09d448c0a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Первый взгляд на данные:\n",
" Имя Возраст Баллы\n",
"0 Анна 21 89\n",
"1 Борис 22 76\n",
"2 Виктор 23 95\n",
"3 Галина 24 82\n",
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 4 entries, 0 to 3\n",
"Data columns (total 3 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 Имя 4 non-null object\n",
" 1 Возраст 4 non-null int64 \n",
" 2 Баллы 4 non-null int64 \n",
"dtypes: int64(2), object(1)\n",
"memory usage: 228.0+ bytes\n",
"None\n",
" Возраст Баллы\n",
"count 4.000000 4.000000\n",
"mean 22.500000 85.500000\n",
"std 1.290994 8.266398\n",
"min 21.000000 76.000000\n",
"25% 21.750000 80.500000\n",
"50% 22.500000 85.500000\n",
"75% 23.250000 90.500000\n",
"max 24.000000 95.000000\n",
"Имя 0\n",
"Возраст 0\n",
"Баллы 0\n",
"dtype: int64\n"
]
}
],
"source": [
"import pandas as pd\n",
"\n",
"# Создадим DataFrame\n",
"data = {\n",
" \"Имя\": [\"Анна\", \"Борис\", \"Виктор\", \"Галина\"],\n",
" \"Возраст\": [21, 22, 23, 24],\n",
" \"Баллы\": [89, 76, 95, 82]\n",
"}\n",
"df = pd.DataFrame(data)\n",
"\n",
"print(\"Первый взгляд на данные:\")\n",
"print(df.head())\n",
"print(df.info())\n",
"print(df.describe())\n",
"print(df.isnull().sum())"
]
},
{
"cell_type": "markdown",
"id": "22288d55-04b9-4e80-8120-2da41b1a32b0",
"metadata": {},
"source": [
"стандартный код, без изменений"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "4d8c96fc-1e83-4218-a96b-81575c28f0d7",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Первый взгляд на данные:\n",
" Имя Возраст Баллы\n",
"0 Анна 21 89\n",
"1 Борис 22 76\n",
"2 Виктор 23 95\n",
"3 Галина 24 82\n",
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 4 entries, 0 to 3\n",
"Data columns (total 3 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 Имя 4 non-null object\n",
" 1 Возраст 4 non-null int64 \n",
" 2 Баллы 4 non-null int64 \n",
"dtypes: int64(2), object(1)\n",
"memory usage: 228.0+ bytes\n",
"None\n",
" Возраст Баллы\n",
"count 4.000000 4.000000\n",
"mean 22.500000 85.500000\n",
"std 1.290994 8.266398\n",
"min 21.000000 76.000000\n",
"25% 21.750000 80.500000\n",
"50% 22.500000 85.500000\n",
"75% 23.250000 90.500000\n",
"max 24.000000 95.000000\n",
"Имя 0\n",
"Возраст 0\n",
"Баллы 0\n",
"dtype: int64\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\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>Имя</th>\n",
" <th>Возраст</th>\n",
" <th>Баллы</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Анна</td>\n",
" <td>21</td>\n",
" <td>89</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Борис</td>\n",
" <td>22</td>\n",
" <td>76</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Виктор</td>\n",
" <td>23</td>\n",
" <td>95</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Галина</td>\n",
" <td>24</td>\n",
" <td>82</td>\n",
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"</table>\n",
"</div>"
],
"text/plain": [
" Имя Возраст Баллы\n",
"0 Анна 21 89\n",
"1 Борис 22 76\n",
"2 Виктор 23 95\n",
"3 Галина 24 82"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"\n",
"# Создадим DataFrame\n",
"data = {\n",
" \"Имя\": [\"Анна\", \"Борис\", \"Виктор\", \"Галина\"],\n",
" \"Возраст\": [21, 22, 23, 24],\n",
" \"Баллы\": [89, 76, 95, 82]\n",
"}\n",
"df = pd.DataFrame(data)\n",
"\n",
"print(\"Первый взгляд на данные:\")\n",
"print(df.head())\n",
"print(df.info())\n",
"print(df.describe())\n",
"print(df.isnull().sum())\n",
"df"
]
},
{
"cell_type": "markdown",
"id": "e2b6ea08-81e6-4e0d-a9b6-be6559349c7e",
"metadata": {},
"source": [
"добавил df в конце кода"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "b1361266-d103-4766-9337-c9afe7c1873f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Первый взгляд на данные:\n",
" Имя Возраст Баллы\n",
"0 Анна 21 89\n",
"1 Борис 22 76\n",
"2 Виктор 23 95\n",
"3 Галина 24 82\n",
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 4 entries, 0 to 3\n",
"Data columns (total 3 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 Имя 4 non-null object\n",
" 1 Возраст 4 non-null int64 \n",
" 2 Баллы 4 non-null int64 \n",
"dtypes: int64(2), object(1)\n",
"memory usage: 228.0+ bytes\n",
"None\n",
" Возраст Баллы\n",
"count 4.000000 4.000000\n",
"mean 22.500000 85.500000\n",
"std 1.290994 8.266398\n",
"min 21.000000 76.000000\n",
"25% 21.750000 80.500000\n",
"50% 22.500000 85.500000\n",
"75% 23.250000 90.500000\n",
"max 24.000000 95.000000\n",
"Имя 0\n",
"Возраст 0\n",
"Баллы 0\n",
"dtype: int64\n",
" Имя Возраст Баллы Баллы с коэффициентом\n",
"0 Анна 21 89 97.9\n",
"1 Борис 22 76 83.6\n",
"2 Виктор 23 95 104.5\n",
"3 Галина 24 82 90.2\n"
]
}
],
"source": [
"import pandas as pd\n",
"\n",
"# Создадим DataFrame\n",
"data = {\n",
" \"Имя\": [\"Анна\", \"Борис\", \"Виктор\", \"Галина\"],\n",
" \"Возраст\": [21, 22, 23, 24],\n",
" \"Баллы\": [89, 76, 95, 82]\n",
"}\n",
"df = pd.DataFrame(data)\n",
"\n",
"print(\"Первый взгляд на данные:\")\n",
"print(df.head())\n",
"print(df.info())\n",
"print(df.describe())\n",
"print(df.isnull().sum())\n",
"\n",
"# Добавляем новый столбец с вычисляемыми значениями\n",
"df[\"Баллы с коэффициентом\"] = df[\"Баллы\"] * 1.1\n",
"\n",
"print(df)"
]
},
{
"cell_type": "markdown",
"id": "5d658850-1ef4-41cc-81c2-afda9213bd6d",
"metadata": {},
"source": [
"добавил новый столбец с вычисляемыми значениями"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d27ebb99-d8b7-44b6-9d6f-59062c18eb81",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.2"
}
},
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"nbformat_minor": 5
}