2026-rff_mp/stepushovgs/labyrinth/docs/data/main.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "688ee55a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "185233e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# CMU Serif\n",
    "plt.rcParams['font.family'] = 'CMU Serif'\n",
    "plt.rcParams['mathtext.fontset'] = 'cm'\n",
    "plt.rcParams['font.size'] = 14\n",
    "plt.rcParams['axes.titlesize'] = 16\n",
    "plt.rcParams['axes.labelsize'] = 15\n",
    "plt.rcParams['xtick.labelsize'] = 13\n",
    "plt.rcParams['ytick.labelsize'] = 13\n",
    "plt.rcParams['legend.fontsize'] = 12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "70b2bfca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Лабиринт</th>\n",
       "      <th>Алгоритм</th>\n",
       "      <th>Время</th>\n",
       "      <th>Посещено клеток</th>\n",
       "      <th>Длина пути</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>maze10x10</td>\n",
       "      <td>BFS</td>\n",
       "      <td>0.07440</td>\n",
       "      <td>25.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>maze10x10</td>\n",
       "      <td>BFS</td>\n",
       "      <td>0.07570</td>\n",
       "      <td>25.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>maze10x10</td>\n",
       "      <td>BFS</td>\n",
       "      <td>0.07270</td>\n",
       "      <td>25.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>maze10x10</td>\n",
       "      <td>BFS</td>\n",
       "      <td>0.07430</td>\n",
       "      <td>25.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>maze10x10</td>\n",
       "      <td>BFS</td>\n",
       "      <td>0.05370</td>\n",
       "      <td>25.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>maze_no_path</td>\n",
       "      <td>Dijkstra</td>\n",
       "      <td>2.09330</td>\n",
       "      <td>1245.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>maze_no_path</td>\n",
       "      <td>Dijkstra</td>\n",
       "      <td>2.17550</td>\n",
       "      <td>1245.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>maze_no_path</td>\n",
       "      <td>Dijkstra</td>\n",
       "      <td>2.38650</td>\n",
       "      <td>1245.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>maze_no_path</td>\n",
       "      <td>Dijkstra</td>\n",
       "      <td>2.27960</td>\n",
       "      <td>1245.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>maze_no_path(среднее)</td>\n",
       "      <td>Dijkstra</td>\n",
       "      <td>2.19875</td>\n",
       "      <td>1245.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>220 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Лабиринт  Алгоритм    Время  Посещено клеток  Длина пути\n",
       "0                maze10x10       BFS  0.07440             25.0        16.0\n",
       "1                maze10x10       BFS  0.07570             25.0        16.0\n",
       "2                maze10x10       BFS  0.07270             25.0        16.0\n",
       "3                maze10x10       BFS  0.07430             25.0        16.0\n",
       "4                maze10x10       BFS  0.05370             25.0        16.0\n",
       "..                     ...       ...      ...              ...         ...\n",
       "215           maze_no_path  Dijkstra  2.09330           1245.0         0.0\n",
       "216           maze_no_path  Dijkstra  2.17550           1245.0         0.0\n",
       "217           maze_no_path  Dijkstra  2.38650           1245.0         0.0\n",
       "218           maze_no_path  Dijkstra  2.27960           1245.0         0.0\n",
       "219  maze_no_path(среднее)  Dijkstra  2.19875           1245.0         0.0\n",
       "\n",
       "[220 rows x 5 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "csv_path = 'csv/banchmark.csv'\n",
    "\n",
    "data = pd.read_csv(csv_path)\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c76b78ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "maze_mini_bfs = data.loc[\n",
    "        (data['Лабиринт'] == 'maze10x10') & (data['Алгоритм'] == 'BFS'),\n",
    "        'Время'\n",
    "    ].tolist()\n",
    "maze_mini_bfs_average  = data.loc[\n",
    "        (data['Лабиринт'] == 'maze10x10(среднее)') & (data['Алгоритм'] == 'BFS'),\n",
    "        'Время'\n",
    "    ].iloc[0]\n",
    "\n",
    "maze_mini_dfs = data.loc[\n",
    "        (data['Лабиринт'] == 'maze10x10') & (data['Алгоритм'] == 'DFS'),\n",
    "        'Время'\n",
    "    ].tolist()\n",
    "maze_mini_dfs_average  = data.loc[\n",
    "        (data['Лабиринт'] == 'maze10x10(среднее)') & (data['Алгоритм'] == 'DFS'),\n",
    "        'Время'\n",
    "    ].iloc[0]\n",
    "\n",
    "maze_mini_astar = data.loc[\n",
    "        (data['Лабиринт'] == 'maze10x10') & (data['Алгоритм'] == 'A*'),\n",
    "        'Время'\n",
    "    ].tolist()\n",
    "maze_mini_astar_average  = data.loc[\n",
    "        (data['Лабиринт'] == 'maze10x10(среднее)') & (data['Алгоритм'] == 'A*'),\n",
    "        'Время'\n",
    "    ].iloc[0]\n",
    "\n",
    "maze_mini_dijkstra = data.loc[\n",
    "        (data['Лабиринт'] == 'maze10x10') & (data['Алгоритм'] == 'Dijkstra'),\n",
    "        'Время'\n",
    "    ].tolist()\n",
    "maze_mini_dijkstra_average  = data.loc[\n",
    "        (data['Лабиринт'] == 'maze10x10(среднее)') & (data['Алгоритм'] == 'Dijkstra'),\n",
    "        'Время'\n",
    "    ].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "43185f9c",
   "metadata": {},
   "outputs": [],
   "source": [
    "maze_midl_bfs = data.loc[\n",
    "        (data['Лабиринт'] == 'maze50x50') & (data['Алгоритм'] == 'BFS'),\n",
    "        'Время'\n",
    "    ].tolist()\n",
    "maze_midl_bfs_average  = data.loc[\n",
    "        (data['Лабиринт'] == 'maze50x50(среднее)') & (data['Алгоритм'] == 'BFS'),\n",
    "        'Время'\n",
    "    ].iloc[0]\n",
    "\n",
    "maze_midl_dfs = data.loc[\n",
    "        (data['Лабиринт'] == 'maze50x50') & (data['Алгоритм'] == 'DFS'),\n",
    "        'Время'\n",
    "    ].tolist()\n",
    "maze_midl_dfs_average  = data.loc[\n",
    "        (data['Лабиринт'] == 'maze50x50(среднее)') & (data['Алгоритм'] == 'DFS'),\n",
    "        'Время'\n",
    "    ].iloc[0]\n",
    "\n",
    "maze_midl_astar = data.loc[\n",
    "        (data['Лабиринт'] == 'maze50x50') & (data['Алгоритм'] == 'A*'),\n",
    "        'Время'\n",
    "    ].tolist()\n",
    "maze_midl_astar_average  = data.loc[\n",
    "        (data['Лабиринт'] == 'maze50x50(среднее)') & (data['Алгоритм'] == 'A*'),\n",
    "        'Время'\n",
    "    ].iloc[0]\n",
    "\n",
    "maze_midl_dijkstra = data.loc[\n",
    "        (data['Лабиринт'] == 'maze50x50') & (data['Алгоритм'] == 'Dijkstra'),\n",
    "        'Время'\n",
    "    ].tolist()\n",
    "maze_midl_dijkstra_average  = data.loc[\n",
    "        (data['Лабиринт'] == 'maze50x50(среднее)') & (data['Алгоритм'] == 'Dijkstra'),\n",
    "        'Время'\n",
    "    ].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "dd77cde8",
   "metadata": {},
   "outputs": [],
   "source": [
    "maze_max_bfs = data.loc[\n",
    "        (data['Лабиринт'] == 'maze100x100') & (data['Алгоритм'] == 'BFS'),\n",
    "        'Время'\n",
    "    ].tolist()\n",
    "maze_max_bfs_average  = data.loc[\n",
    "        (data['Лабиринт'] == 'maze100x100(среднее)') & (data['Алгоритм'] == 'BFS'),\n",
    "        'Время'\n",
    "    ].iloc[0]\n",
    "\n",
    "maze_max_dfs = data.loc[\n",
    "        (data['Лабиринт'] == 'maze100x100') & (data['Алгоритм'] == 'DFS'),\n",
    "        'Время'\n",
    "    ].tolist()\n",
    "maze_max_dfs_average  = data.loc[\n",
    "        (data['Лабиринт'] == 'maze100x100(среднее)') & (data['Алгоритм'] == 'DFS'),\n",
    "        'Время'\n",
    "    ].iloc[0]\n",
    "\n",
    "maze_max_astar = data.loc[\n",
    "        (data['Лабиринт'] == 'maze100x100') & (data['Алгоритм'] == 'A*'),\n",
    "        'Время'\n",
    "    ].tolist()\n",
    "maze_max_astar_average  = data.loc[\n",
    "        (data['Лабиринт'] == 'maze100x100(среднее)') & (data['Алгоритм'] == 'A*'),\n",
    "        'Время'\n",
    "    ].iloc[0]\n",
    "\n",
    "maze_max_dijkstra = data.loc[\n",
    "        (data['Лабиринт'] == 'maze100x100') & (data['Алгоритм'] == 'Dijkstra'),\n",
    "        'Время'\n",
    "    ].tolist()\n",
    "maze_max_dijkstra_average  = data.loc[\n",
    "        (data['Лабиринт'] == 'maze100x100(среднее)') & (data['Алгоритм'] == 'Dijkstra'),\n",
    "        'Время'\n",
    "    ].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c7bbc090",
   "metadata": {},
   "outputs": [],
   "source": [
    "maze_empty_bfs = data.loc[\n",
    "        (data['Лабиринт'] == 'maze_empty') & (data['Алгоритм'] == 'BFS'),\n",
    "        'Время'\n",
    "    ].tolist()\n",
    "maze_empty_bfs_average  = data.loc[\n",
    "        (data['Лабиринт'] == 'maze_empty(среднее)') & (data['Алгоритм'] == 'BFS'),\n",
    "        'Время'\n",
    "    ].iloc[0]\n",
    "\n",
    "maze_empty_dfs = data.loc[\n",
    "        (data['Лабиринт'] == 'maze_empty') & (data['Алгоритм'] == 'DFS'),\n",
    "        'Время'\n",
    "    ].tolist()\n",
    "maze_empty_dfs_average  = data.loc[\n",
    "        (data['Лабиринт'] == 'maze_empty(среднее)') & (data['Алгоритм'] == 'DFS'),\n",
    "        'Время'\n",
    "    ].iloc[0]\n",
    "\n",
    "maze_empty_astar = data.loc[\n",
    "        (data['Лабиринт'] == 'maze_empty') & (data['Алгоритм'] == 'A*'),\n",
    "        'Время'\n",
    "    ].tolist()\n",
    "maze_empty_astar_average  = data.loc[\n",
    "        (data['Лабиринт'] == 'maze_empty(среднее)') & (data['Алгоритм'] == 'A*'),\n",
    "        'Время'\n",
    "    ].iloc[0]\n",
    "\n",
    "maze_empty_dijkstra = data.loc[\n",
    "        (data['Лабиринт'] == 'maze_empty') & (data['Алгоритм'] == 'Dijkstra'),\n",
    "        'Время'\n",
    "    ].tolist()\n",
    "maze_empty_dijkstra_average  = data.loc[\n",
    "        (data['Лабиринт'] == 'maze_empty(среднее)') & (data['Алгоритм'] == 'Dijkstra'),\n",
    "        'Время'\n",
    "    ].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "742bce22",
   "metadata": {},
   "outputs": [],
   "source": [
    "maze_no_path_bfs = data.loc[\n",
    "        (data['Лабиринт'] == 'maze_no_path') & (data['Алгоритм'] == 'BFS'),\n",
    "        'Время'\n",
    "    ].tolist()\n",
    "maze_no_path_bfs_average  = data.loc[\n",
    "        (data['Лабиринт'] == 'maze_no_path(среднее)') & (data['Алгоритм'] == 'BFS'),\n",
    "        'Время'\n",
    "    ].iloc[0]\n",
    "\n",
    "maze_no_path_dfs = data.loc[\n",
    "        (data['Лабиринт'] == 'maze_no_path') & (data['Алгоритм'] == 'DFS'),\n",
    "        'Время'\n",
    "    ].tolist()\n",
    "maze_no_path_dfs_average  = data.loc[\n",
    "        (data['Лабиринт'] == 'maze_no_path(среднее)') & (data['Алгоритм'] == 'DFS'),\n",
    "        'Время'\n",
    "    ].iloc[0]\n",
    "\n",
    "maze_no_path_astar = data.loc[\n",
    "        (data['Лабиринт'] == 'maze_no_path') & (data['Алгоритм'] == 'A*'),\n",
    "        'Время'\n",
    "    ].tolist()\n",
    "maze_no_path_astar_average  = data.loc[\n",
    "        (data['Лабиринт'] == 'maze_no_path(среднее)') & (data['Алгоритм'] == 'A*'),\n",
    "        'Время'\n",
    "    ].iloc[0]\n",
    "\n",
    "maze_no_path_dijkstra = data.loc[\n",
    "        (data['Лабиринт'] == 'maze_no_path') & (data['Алгоритм'] == 'Dijkstra'),\n",
    "        'Время'\n",
    "    ].tolist()\n",
    "maze_no_path_dijkstra_average  = data.loc[\n",
    "        (data['Лабиринт'] == 'maze_no_path(среднее)') & (data['Алгоритм'] == 'Dijkstra'),\n",
    "        'Время'\n",
    "    ].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "1e1fa8a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "iterations = range(1, 11)\n",
    "\n",
    "\n",
    "bfs_col = 'blue'\n",
    "dfs_col = 'orange'\n",
    "AStar_col = 'green'\n",
    "Dijkstra_col = 'red'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "d6fae13f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14, 6))\n",
    "\n",
    "# ============= Левый график: случайные данные =============\n",
    "plt.title(\"Поиск пути в лабиринте 10x10\")\n",
    "plt.ylabel('Время, мс')\n",
    "plt.xlabel('Повторения')\n",
    "plt.xticks(iterations)\n",
    "\n",
    "# BFS\n",
    "plt.scatter(iterations, maze_mini_bfs, label='BFS', color=bfs_col)\n",
    "plt.axhline(y=maze_mini_bfs_average, color=bfs_col, linewidth=1, \n",
    "            linestyle='--', alpha=0.7)\n",
    "\n",
    "# DFS\n",
    "plt.scatter(iterations, maze_mini_dfs, label='DFS', color=dfs_col)\n",
    "plt.axhline(y=maze_mini_dfs_average, color=dfs_col, linewidth=1, \n",
    "            linestyle='--', alpha=0.7)\n",
    "\n",
    "#  A*\n",
    "plt.scatter(iterations, maze_mini_astar, label='A*', color=AStar_col)\n",
    "plt.axhline(y=maze_mini_astar_average, color=AStar_col, linewidth=1, \n",
    "            linestyle='--', alpha=0.7)\n",
    "\n",
    "# Связный список\n",
    "plt.scatter(iterations, maze_mini_dijkstra, label='Дейкстра', color=Dijkstra_col)\n",
    "plt.axhline(y=maze_mini_dijkstra_average, color=Dijkstra_col, linewidth=1, \n",
    "            linestyle='--', alpha=0.7)\n",
    "\n",
    "plt.legend(loc='best')\n",
    "plt.grid(True, alpha=0.3)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('img\\\\10x10.pdf',\n",
    "            format='pdf',\n",
    "            dpi=300,\n",
    "            bbox_inches='tight',  \n",
    "            pad_inches=0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "8ef02f9e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14, 6))\n",
    "\n",
    "# ============= Левый график: случайные данные =============\n",
    "plt.title(\"Поиск пути в лабиринте 50x50\")\n",
    "plt.ylabel('Время, мс')\n",
    "plt.xlabel('Повторения')\n",
    "plt.xticks(iterations)\n",
    "\n",
    "# BFS\n",
    "plt.scatter(iterations, maze_midl_bfs, label='BFS', color=bfs_col)\n",
    "plt.axhline(y=maze_midl_bfs_average, color=bfs_col, linewidth=1, \n",
    "            linestyle='--', alpha=0.7)\n",
    "\n",
    "# DFS\n",
    "plt.scatter(iterations, maze_midl_dfs, label='DFS', color=dfs_col)\n",
    "plt.axhline(y=maze_midl_dfs_average, color=dfs_col, linewidth=1, \n",
    "            linestyle='--', alpha=0.7)\n",
    "\n",
    "#  A*\n",
    "plt.scatter(iterations, maze_midl_astar, label='A*', color=AStar_col)\n",
    "plt.axhline(y=maze_midl_astar_average, color=AStar_col, linewidth=1, \n",
    "            linestyle='--', alpha=0.7)\n",
    "\n",
    "# Связный список\n",
    "plt.scatter(iterations, maze_midl_dijkstra, label='Дейкстра', color=Dijkstra_col)\n",
    "plt.axhline(y=maze_midl_dijkstra_average, color=Dijkstra_col, linewidth=1, \n",
    "            linestyle='--', alpha=0.7)\n",
    "\n",
    "plt.legend(loc='best')\n",
    "plt.grid(True, alpha=0.3)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('img/50x50.pdf',\n",
    "            format='pdf',\n",
    "            dpi=300,\n",
    "            bbox_inches='tight',  \n",
    "            pad_inches=0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "1ab3cd43",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14, 6))\n",
    "\n",
    "# ============= Левый график: случайные данные =============\n",
    "plt.title(\"Поиск пути в лабиринте 100x100\")\n",
    "plt.ylabel('Время, мс')\n",
    "plt.xlabel('Повторения')\n",
    "plt.xticks(iterations)\n",
    "\n",
    "# BFS\n",
    "plt.scatter(iterations, maze_max_bfs, label='BFS', color=bfs_col)\n",
    "plt.axhline(y=maze_max_bfs_average, color=bfs_col, linewidth=1, \n",
    "            linestyle='--', alpha=0.7)\n",
    "\n",
    "# DFS\n",
    "plt.scatter(iterations, maze_max_dfs, label='DFS', color=dfs_col)\n",
    "plt.axhline(y=maze_max_dfs_average, color=dfs_col, linewidth=1, \n",
    "            linestyle='--', alpha=0.7)\n",
    "\n",
    "#  A*\n",
    "plt.scatter(iterations, maze_max_astar, label='A*', color=AStar_col)\n",
    "plt.axhline(y=maze_max_astar_average, color=AStar_col, linewidth=1, \n",
    "            linestyle='--', alpha=0.7)\n",
    "\n",
    "# Связный список\n",
    "plt.scatter(iterations, maze_max_dijkstra, label='Дейкстра', color=Dijkstra_col)\n",
    "plt.axhline(y=maze_max_dijkstra_average, color=Dijkstra_col, linewidth=1, \n",
    "            linestyle='--', alpha=0.7)\n",
    "\n",
    "plt.legend(loc='best')\n",
    "plt.grid(True, alpha=0.3)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('img/100x100.pdf',\n",
    "            format='pdf',\n",
    "            dpi=300,\n",
    "            bbox_inches='tight',  \n",
    "            pad_inches=0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "5802d209",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14, 6))\n",
    "\n",
    "# ============= Левый график: случайные данные =============\n",
    "plt.title(\"Поиск пути в пустом лабиринте\")\n",
    "plt.ylabel('Время, мс')\n",
    "plt.xlabel('Повторения')\n",
    "plt.xticks(iterations)\n",
    "\n",
    "# BFS\n",
    "plt.scatter(iterations, maze_empty_bfs, label='BFS', color=bfs_col)\n",
    "plt.axhline(y=maze_empty_bfs_average, color=bfs_col, linewidth=1, \n",
    "            linestyle='--', alpha=0.7)\n",
    "\n",
    "# DFS\n",
    "plt.scatter(iterations, maze_empty_dfs, label='DFS', color=dfs_col)\n",
    "plt.axhline(y=maze_empty_dfs_average, color=dfs_col, linewidth=1, \n",
    "            linestyle='--', alpha=0.7)\n",
    "\n",
    "#  A*\n",
    "plt.scatter(iterations, maze_empty_astar, label='A*', color=AStar_col)\n",
    "plt.axhline(y=maze_empty_astar_average, color=AStar_col, linewidth=1, \n",
    "            linestyle='--', alpha=0.7)\n",
    "\n",
    "# Связный список\n",
    "plt.scatter(iterations, maze_empty_dijkstra, label='Дейкстра', color=Dijkstra_col)\n",
    "plt.axhline(y=maze_empty_dijkstra_average, color=Dijkstra_col, linewidth=1, \n",
    "            linestyle='--', alpha=0.7)\n",
    "\n",
    "plt.legend(loc='best')\n",
    "plt.grid(True, alpha=0.3)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('img/empty.pdf',\n",
    "            format='pdf',\n",
    "            dpi=300,\n",
    "            bbox_inches='tight',  \n",
    "            pad_inches=0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "de2b628e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14, 6))\n",
    "\n",
    "# ============= Левый график: случайные данные =============\n",
    "plt.title(\"Поиск пути в лабиринте без выхода\")\n",
    "plt.ylabel('Время, мс')\n",
    "plt.xlabel('Повторения')\n",
    "plt.xticks(iterations)\n",
    "\n",
    "# BFS\n",
    "plt.scatter(iterations, maze_no_path_bfs, label='BFS', color=bfs_col)\n",
    "plt.axhline(y=maze_no_path_bfs_average, color=bfs_col, linewidth=1, \n",
    "            linestyle='--', alpha=0.7)\n",
    "\n",
    "# DFS\n",
    "plt.scatter(iterations, maze_no_path_dfs, label='DFS', color=dfs_col)\n",
    "plt.axhline(y=maze_no_path_dfs_average, color=dfs_col, linewidth=1, \n",
    "            linestyle='--', alpha=0.7)\n",
    "\n",
    "#  A*\n",
    "plt.scatter(iterations, maze_no_path_astar, label='A*', color=AStar_col)\n",
    "plt.axhline(y=maze_no_path_astar_average, color=AStar_col, linewidth=1, \n",
    "            linestyle='--', alpha=0.7)\n",
    "\n",
    "# Связный список\n",
    "plt.scatter(iterations, maze_no_path_dijkstra, label='Дейкстра', color=Dijkstra_col)\n",
    "plt.axhline(y=maze_no_path_dijkstra_average, color=Dijkstra_col, linewidth=1, \n",
    "            linestyle='--', alpha=0.7)\n",
    "\n",
    "plt.legend(loc='best')\n",
    "plt.grid(True, alpha=0.3)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('img/no_path.pdf',\n",
    "            format='pdf',\n",
    "            dpi=300,\n",
    "            bbox_inches='tight',  \n",
    "            pad_inches=0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f87691fd",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
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