{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0cc6c719-864f-4591-ac6d-d5109f2a8ff2",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "14e514ae-83fd-4311-82dd-0f4a44a9a7b0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Магазинов с форматом магазина \"Стрит\": 4\n"
     ]
    }
   ],
   "source": [
    "#1\n",
    "df = pd.read_excel('ООО_Внимание_к_деталям (2).xlsx')\n",
    "d = df.loc[df[\"Формат магазина\"] == \"Стрит\"]\n",
    "df_result = d['Формат магазина'].count()\n",
    "print('Магазинов с форматом магазина \"Стрит\":', df_result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "fdf1aa6e-4524-4add-ae8d-8353d32c9da8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Магазинов с бесплатной парковкой: 157\n"
     ]
    }
   ],
   "source": [
    "#3\n",
    "d = df.loc[df['Парковка'] == 'бесплатная парковка']\n",
    "f = df.loc[df['Парковка'] == 'бесплатная паpковка']\n",
    "free_parking = d['Парковка'].count()\n",
    "free_parking1 = f['Парковка'].count()\n",
    "print('Магазинов с бесплатной парковкой:', free_parking + free_parking1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bde16ef0-c582-4c3a-af7c-d0a40ebcac8a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "53b629d4-a4b6-4448-89c4-d7cf448390ea",
   "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": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}