{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Начало лабораторной \n", "\n", "Выгрузка данных из csv файла в датафрейм" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Index(['ID', 'Year_Birth', 'Education', 'Marital_Status', 'Income', 'Kidhome',\n", " 'Teenhome', 'Dt_Customer', 'Recency', 'MntWines', 'MntFruits',\n", " 'MntMeatProducts', 'MntFishProducts', 'MntSweetProducts',\n", " 'MntGoldProds', 'NumDealsPurchases', 'NumWebPurchases',\n", " 'NumCatalogPurchases', 'NumStorePurchases', 'NumWebVisitsMonth',\n", " 'AcceptedCmp3', 'AcceptedCmp4', 'AcceptedCmp5', 'AcceptedCmp1',\n", " 'AcceptedCmp2', 'Complain', 'Z_CostContact', 'Z_Revenue', 'Response'],\n", " dtype='object')\n" ] } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "\n", "df = pd.read_csv(\"..//..//static//csv//marketing_campaign.csv\", sep=\"\\t\")\n", "\n", "print (df.columns)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Эта гистограмма в диапазоне с " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "df " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Out " ] } ], "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": "3.12.7" } }, "nbformat": 4, "nbformat_minor": 2 }