{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 16,
   "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": 17,
   "id": "14e514ae-83fd-4311-82dd-0f4a44a9a7b0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#1\n",
    "x = pd.read_excel('ООО_Внимание_к_деталям (2).xlsx')\n",
    "y = x.loc[x[\"Формат магазина\"] == \"Стрит\"]\n",
    "x_result = y['Формат магазина'].count()\n",
    "x_result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fdf1aa6e-4524-4add-ae8d-8353d32c9da8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "157"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y = x.loc[x['Парковка'] == 'бесплатная парковка']\n",
    "z = x.loc[x['Парковка'] == 'бесплатная паpковка'] \n",
    "besplatnaya_parkovka1 = y['Парковка'].count()\n",
    "besplatnaya_parkovka2 = z['Парковка'].count()\n",
    "besplatnaya_parkovka1 + besplatnaya_parkovka2"
   ]
  }
 ],
 "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
}