{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Начало лабораторной\n", "\n", "Выгрузка данных из csv файла в датафрейм" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Index(['work_year', 'experience_level', 'employment_type', 'job_title',\n", " 'salary', 'salary_currency', 'salary_in_usd', 'employee_residence',\n", " 'remote_ratio', 'company_location', 'company_size'],\n", " dtype='object')\n" ] } ], "source": [ "import pandas as pd\n", "df = pd.read_csv(\"..//static//csv//ds_salaries.csv\")\n", "print(df.columns)" ] } ], "metadata": { "kernelspec": { "display_name": "aimenv", "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 }