{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1ee541e1-eb8a-4ece-91f7-009bacc711ed",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Начинаем обработку DataFrame...\n"
     ]
    },
    {
     "data": {
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       "model_id": "8776cf678207472e9abf4781522d710e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Анализ строк:   0%|          | 0/100 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "==============================\n",
      "\n",
      "Запуск кастомного процесса...\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a529304207da48d4b0829392fccae530",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Загрузка нейросети:   0%|          | 0/100 [00:00<?, ? слоев/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Готово!\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from tqdm.auto import tqdm \n",
    "import time\n",
    "df = pd.DataFrame({\n",
    "    'ID': range(1, 101),\n",
    "    'Data': np.random.randn(100)\n",
    "})\n",
    "print(\"Начинаем обработку DataFrame...\")\n",
    "for index, row in tqdm(df.iterrows(), total=df.shape[0], desc=\"Анализ строк\"):\n",
    "   \n",
    "    time.sleep(0.02) \n",
    "    \n",
    "print(\"\\n\" + \"=\"*30 + \"\\n\")\n",
    "print(\"Запуск кастомного процесса...\")\n",
    "\n",
    "for i in tqdm(range(100), \n",
    "              desc='Загрузка нейросети', \n",
    "              unit=' слоев', \n",
    "              colour='green'):\n",
    "    time.sleep(0.03)\n",
    "\n",
    "print(\"Готово!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "453def08-cb24-474e-a8bf-19eecdb3726d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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