{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "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",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "dr = pd.read_excel('ООО_Внимание_к_деталям (2).xlsx')\n",
    "d = df.loc[dr[\"Формат магазина\"] == \"Стрит\"]\n",
    "dr_result = d['Формат магазина'].count()\n",
    "print('Магазинов с форматом магазина \"Стрит\":', dr_result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fdf1aa6e-4524-4add-ae8d-8353d32c9da8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Магазинов с бесплатной парковкой: 157\n"
     ]
    }
   ],
   "source": [
    "#3\n",
    "p = dr.loc[dr['Парковка'] == 'бесплатная парковка']\n",
    "p2 = dr.loc[dr['Парковка'] == 'бесплатная паpковка']\n",
    "result = p['Парковка'].count()\n",
    "result2 = p2['Парковка'].count()\n",
    "print('Магазинов с бесплатной парковкой:', result + result2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "09d7edb6-43d9-4ab7-98a8-0cbd14fc30dc",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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