{"id":9851,"date":"2024-03-15T03:52:19","date_gmt":"2024-03-14T18:52:19","guid":{"rendered":"https:\/\/www.silicloud.com\/ja\/blog\/python%e3%81%a7networkx%e3%82%92%e3%81%a9%e3%81%ae%e3%82%88%e3%81%86%e3%81%ab%e4%bd%bf%e7%94%a8%e3%81%97%e3%81%be%e3%81%99%e3%81%8b%e3%80%82\/"},"modified":"2025-08-04T04:03:46","modified_gmt":"2025-08-03T19:03:46","slug":"python%e3%81%a7networkx%e3%82%92%e3%81%a9%e3%81%ae%e3%82%88%e3%81%86%e3%81%ab%e4%bd%bf%e7%94%a8%e3%81%97%e3%81%be%e3%81%99%e3%81%8b%e3%80%82","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/ja\/blog\/python%e3%81%a7networkx%e3%82%92%e3%81%a9%e3%81%ae%e3%82%88%e3%81%86%e3%81%ab%e4%bd%bf%e7%94%a8%e3%81%97%e3%81%be%e3%81%99%e3%81%8b%e3%80%82\/","title":{"rendered":"Python networkx\u5165\u9580\uff1a\u30b0\u30e9\u30d5\u7406\u8ad6\u3068\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u5206\u6790"},"content":{"rendered":"<p>Python\u3067networkx\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u7528\u3059\u308b\u306b\u306f\u3001\u307e\u305anetworkx\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u6b21\u306e\u30b3\u30de\u30f3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3067\u304d\u307e\u3059\uff1a<\/p>\n<pre class=\"post-pre\"><code>pip install networkx\r\n<\/code><\/pre>\n<p>Python\u30b9\u30af\u30ea\u30d7\u30c8\u3067networkx\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u3066\u4f7f\u7528\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002\u4ee5\u4e0b\u306f\u3001\u7c21\u5358\u306a\u4f8b\u3092\u793a\u3057\u3001\u7c21\u5358\u306a\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3057\u3066\u57fa\u672c\u64cd\u4f5c\u3092\u884c\u3046\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<pre class=\"post-pre\"><code><span class=\"hljs-keyword\">import<\/span> networkx <span class=\"hljs-keyword\">as<\/span> nx\r\n\r\n<span class=\"hljs-comment\"># \u521b\u5efa\u4e00\u4e2a\u7a7a\u56fe<\/span>\r\nG = nx.Graph()\r\n\r\n<span class=\"hljs-comment\"># \u6dfb\u52a0\u8282\u70b9<\/span>\r\nG.add_node(<span class=\"hljs-number\">1<\/span>)\r\nG.add_nodes_from([<span class=\"hljs-number\">2<\/span>, <span class=\"hljs-number\">3<\/span>, <span class=\"hljs-number\">4<\/span>])\r\n\r\n<span class=\"hljs-comment\"># \u6dfb\u52a0\u8fb9<\/span>\r\nG.add_edge(<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">2<\/span>)\r\nG.add_edges_from([(<span class=\"hljs-number\">2<\/span>, <span class=\"hljs-number\">3<\/span>), (<span class=\"hljs-number\">3<\/span>, <span class=\"hljs-number\">4<\/span>)])\r\n\r\n<span class=\"hljs-comment\"># \u67e5\u770b\u8282\u70b9\u548c\u8fb9\u7684\u6570\u91cf<\/span>\r\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Number of nodes:\"<\/span>, G.number_of_nodes())\r\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Number of edges:\"<\/span>, G.number_of_edges())\r\n\r\n<span class=\"hljs-comment\"># \u904d\u5386\u8282\u70b9\u548c\u8fb9<\/span>\r\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Nodes:\"<\/span>, G.nodes())\r\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Edges:\"<\/span>, G.edges())\r\n\r\n<span class=\"hljs-comment\"># \u8ba1\u7b97\u56fe\u7684\u76f4\u5f84<\/span>\r\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Diameter:\"<\/span>, nx.diameter(G))\r\n\r\n<span class=\"hljs-comment\"># \u53ef\u89c6\u5316\u56fe<\/span>\r\nnx.draw(G, with_labels=<span class=\"hljs-literal\">True<\/span>)\r\n<\/code><\/pre>\n<p>networkx\u30e9\u30a4\u30d6\u30e9\u30ea\u306f\u591a\u304f\u306e\u6a5f\u80fd\u3092\u63d0\u4f9b\u3057\u3066\u304a\u308a\u3001\u3053\u308c\u306f\u305d\u306e\u4e00\u90e8\u306b\u904e\u304e\u307e\u305b\u3093\u3002\u4ed6\u306b\u3082\u3055\u307e\u3056\u307e\u306a\u30b0\u30e9\u30d5\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3001\u30b0\u30e9\u30d5\u306e\u53ef\u8996\u5316\u3001\u30b0\u30e9\u30d5\u306e\u691c\u51fa\u306a\u3069\u304c\u63d0\u4f9b\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u8a73\u7d30\u60c5\u5831\u306f\u3001networkx\u306e\u516c\u5f0f\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3092\u3054\u53c2\u7167\u304f\u3060\u3055\u3044\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Python\u3067networkx\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u7528\u3059\u308b\u306b\u306f\u3001\u307e\u305anetworkx\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u6b21\u306e\u30b3\u30de\u30f3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3067\u304d\u307e\u3059\uff1a pip install networkx Python [&hellip;]<\/p>\n","protected":false},"author":10,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[4181,31,4209,4182,26],"class_list":["post-9851","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-networkx","tag-python","tag-4209","tag-4182","tag-26"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v21.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Python networkx\u5165\u9580\uff1a\u30b0\u30e9\u30d5\u7406\u8ad6\u3068\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u5206\u6790 - Blog - Silicon Cloud<\/title>\n<meta name=\"description\" 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