{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "936583b5-8dcc-4a62-ad2d-27ed6b78dee7", "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", "\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": "code", "execution_count": null, "id": "2470ba48-e1f6-4036-ab9b-a7827185f9d0", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.3" } }, "nbformat": 4, "nbformat_minor": 5 }