746 lines
299 KiB
Plaintext
746 lines
299 KiB
Plaintext
{
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"cells": [
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{
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||
"cell_type": "code",
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"execution_count": 134,
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"id": "688ee55a",
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 135,
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"id": "185233e9",
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"metadata": {},
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"outputs": [],
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"source": [
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"# CMU Serif\n",
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"plt.rcParams['font.family'] = 'CMU Serif'\n",
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"plt.rcParams['mathtext.fontset'] = 'cm'\n",
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"plt.rcParams['font.size'] = 14\n",
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"plt.rcParams['axes.titlesize'] = 16\n",
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"plt.rcParams['axes.labelsize'] = 15\n",
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"plt.rcParams['xtick.labelsize'] = 13\n",
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"plt.rcParams['ytick.labelsize'] = 13\n",
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"plt.rcParams['legend.fontsize'] = 12"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 136,
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"id": "70b2bfca",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Лабиринт</th>\n",
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" <th>Алгоритм</th>\n",
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" <th>Время</th>\n",
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" <th>Посещено клеток</th>\n",
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" <th>Длина пути</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>maze10x10</td>\n",
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" <td>BFS</td>\n",
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" <td>0.04950</td>\n",
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" <td>25.0</td>\n",
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" <td>16.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>maze10x10</td>\n",
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" <td>BFS</td>\n",
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" <td>0.04790</td>\n",
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" <td>25.0</td>\n",
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" <td>16.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>maze10x10</td>\n",
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" <td>BFS</td>\n",
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" <td>0.05920</td>\n",
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" <td>25.0</td>\n",
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" <td>16.0</td>\n",
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||
" </tr>\n",
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||
" <tr>\n",
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||
" <th>3</th>\n",
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" <td>maze10x10</td>\n",
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" <td>BFS</td>\n",
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||
" <td>0.07750</td>\n",
|
||
" <td>25.0</td>\n",
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" <td>16.0</td>\n",
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||
" </tr>\n",
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||
" <tr>\n",
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||
" <th>4</th>\n",
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" <td>maze10x10</td>\n",
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||
" <td>BFS</td>\n",
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" <td>0.05070</td>\n",
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" <td>25.0</td>\n",
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" <td>16.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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||
" <th>...</th>\n",
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||
" <td>...</td>\n",
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||
" <td>...</td>\n",
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||
" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>215</th>\n",
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" <td>maze_no_path</td>\n",
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" <td>Dijkstra</td>\n",
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" <td>2.06430</td>\n",
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" <td>1257.0</td>\n",
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" <td>0.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>216</th>\n",
|
||
" <td>maze_no_path</td>\n",
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" <td>Dijkstra</td>\n",
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" <td>2.22710</td>\n",
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||
" <td>1257.0</td>\n",
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" <td>0.0</td>\n",
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||
" </tr>\n",
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||
" <tr>\n",
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||
" <th>217</th>\n",
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" <td>maze_no_path</td>\n",
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" <td>Dijkstra</td>\n",
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" <td>2.07420</td>\n",
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||
" <td>1257.0</td>\n",
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||
" <td>0.0</td>\n",
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||
" </tr>\n",
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" <tr>\n",
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" <th>218</th>\n",
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" <td>maze_no_path</td>\n",
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" <td>Dijkstra</td>\n",
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||
" <td>2.06130</td>\n",
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||
" <td>1257.0</td>\n",
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" <td>0.0</td>\n",
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||
" </tr>\n",
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||
" <tr>\n",
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||
" <th>219</th>\n",
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||
" <td>maze_no_path(среднее)</td>\n",
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" <td>Dijkstra</td>\n",
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||
" <td>2.10303</td>\n",
|
||
" <td>1257.0</td>\n",
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||
" <td>0.0</td>\n",
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||
" </tr>\n",
|
||
" </tbody>\n",
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||
"</table>\n",
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||
"<p>220 rows × 5 columns</p>\n",
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||
"</div>"
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||
],
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"text/plain": [
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" Лабиринт Алгоритм Время Посещено клеток Длина пути\n",
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"0 maze10x10 BFS 0.04950 25.0 16.0\n",
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"1 maze10x10 BFS 0.04790 25.0 16.0\n",
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"2 maze10x10 BFS 0.05920 25.0 16.0\n",
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"3 maze10x10 BFS 0.07750 25.0 16.0\n",
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"4 maze10x10 BFS 0.05070 25.0 16.0\n",
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||
".. ... ... ... ... ...\n",
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||
"215 maze_no_path Dijkstra 2.06430 1257.0 0.0\n",
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||
"216 maze_no_path Dijkstra 2.22710 1257.0 0.0\n",
|
||
"217 maze_no_path Dijkstra 2.07420 1257.0 0.0\n",
|
||
"218 maze_no_path Dijkstra 2.06130 1257.0 0.0\n",
|
||
"219 maze_no_path(среднее) Dijkstra 2.10303 1257.0 0.0\n",
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||
"\n",
|
||
"[220 rows x 5 columns]"
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||
]
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||
},
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||
"execution_count": 136,
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||
"metadata": {},
|
||
"output_type": "execute_result"
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||
}
|
||
],
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||
"source": [
|
||
"csv_path = 'csv/banchmark.csv'\n",
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||
"\n",
|
||
"data = pd.read_csv(csv_path)\n",
|
||
"data"
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||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 137,
|
||
"id": "c76b78ad",
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||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"maze_mini_bfs = data.loc[\n",
|
||
" (data['Лабиринт'] == 'maze10x10') & (data['Алгоритм'] == 'BFS'),\n",
|
||
" 'Время'\n",
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||
" ].tolist()\n",
|
||
"maze_mini_bfs_average = data.loc[\n",
|
||
" (data['Лабиринт'] == 'maze10x10(среднее)') & (data['Алгоритм'] == 'BFS'),\n",
|
||
" 'Время'\n",
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||
" ].iloc[0]\n",
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||
"\n",
|
||
"maze_mini_dfs = data.loc[\n",
|
||
" (data['Лабиринт'] == 'maze10x10') & (data['Алгоритм'] == 'DFS'),\n",
|
||
" 'Время'\n",
|
||
" ].tolist()\n",
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||
"maze_mini_dfs_average = data.loc[\n",
|
||
" (data['Лабиринт'] == 'maze10x10(среднее)') & (data['Алгоритм'] == 'DFS'),\n",
|
||
" 'Время'\n",
|
||
" ].iloc[0]\n",
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||
"\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",
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||
"\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]"
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||
]
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||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 138,
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||
"id": "43185f9c",
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||
"metadata": {},
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||
"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]"
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||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 139,
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||
"id": "dd77cde8",
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||
"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": 140,
|
||
"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": 141,
|
||
"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": 142,
|
||
"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": 143,
|
||
"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": 144,
|
||
"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": 145,
|
||
"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": 146,
|
||
"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": 147,
|
||
"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",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.10.6"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|