{
 "cells": [
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-05-06T10:38:33.878810200Z",
     "start_time": "2026-05-06T10:38:32.583254900Z"
    }
   },
   "cell_type": "code",
   "source": [
    "from tqdm import tqdm\n",
    "import time\n",
    "import pandas as pd\n",
    "\n",
    "df = pd.DataFrame({'col': range(100)})\n",
    "\n",
    "for index, row in tqdm(df.iterrows(), total=df.shape[0], desc='Загрузка'):\n",
    "    time.sleep(0.01)  # Симуляция процесса"
   ],
   "id": "736569fcf9fa5fbe",
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Загрузка: 100%|██████████| 100/100 [00:01<00:00, 79.61it/s]\n"
     ]
    }
   ],
   "execution_count": 12
  }
 ],
 "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": "3.14.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}