{"id":2522,"date":"2023-07-21T21:45:15","date_gmt":"2023-07-21T21:45:15","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%afhtml%e3%82%92%e8%aa%ad%e3%81%bf%e3%81%be%e3%81%99\/"},"modified":"2023-07-21T21:45:15","modified_gmt":"2023-07-21T21:45:15","slug":"%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%afhtml%e3%82%92%e8%aa%ad%e3%81%bf%e3%81%be%e3%81%99","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%afhtml%e3%82%92%e8%aa%ad%e3%81%bf%e3%81%be%e3%81%99\/","title":{"rendered":"Pandas \u3067 html \u30c6\u30fc\u30d6\u30eb\u3092\u8aad\u307f\u53d6\u308b\u65b9\u6cd5 (\u4f8b\u3092\u542b\u3080)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">pandas <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.read_html.html\" target=\"_blank\" rel=\"noopener\">read_html()<\/a>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001HTML \u30c6\u30fc\u30d6\u30eb\u3092 pandas DataFrame \u306b\u8aad\u307f\u53d6\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u95a2\u6570\u306f\u6b21\u306e\u57fa\u672c\u69cb\u6587\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df = pd. <span style=\"color: #3366ff;\">read_html<\/span> (' <span style=\"color: #ff0000;\">https:\/\/en.wikipedia.org\/wiki\/National_Basketball_Association<\/span> ')\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u3053\u306e\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001 <a href=\"https:\/\/en.wikipedia.org\/wiki\/National_Basketball_Association\" target=\"_blank\" rel=\"noopener\">\u3053\u306e Wikipedia \u30da\u30fc\u30b8<\/a>\u304b\u3089 NBA \u30c1\u30fc\u30e0\u540d\u306e\u8868\u3092\u8aad\u307f\u53d6\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b: Pandas \u3092\u4f7f\u7528\u3057\u3066 HTML \u30c6\u30fc\u30d6\u30eb\u3092\u8aad\u307f\u53d6\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\"><strong>read_html()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u524d\u306b\u3001\u304a\u305d\u3089\u304f lxml \u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong>pip <span style=\"color: #008000;\">install<\/span> lxml<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u6ce8<\/strong>: Jupyter \u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u5834\u5408\u306f\u3001\u3053\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3092\u5b9f\u884c\u3057\u305f\u5f8c\u306b\u30ab\u30fc\u30cd\u30eb\u3092\u518d\u8d77\u52d5\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306b\u3001 <strong>read_html()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001 <a href=\"https:\/\/en.wikipedia.org\/wiki\/National_Basketball_Association\" target=\"_blank\" rel=\"noopener\">\u3053\u306e Wikipedia \u30da\u30fc\u30b8<\/a>\u306e\u5404 HTML \u30c6\u30fc\u30d6\u30eb\u3092\u8aad\u307f\u53d6\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n<span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n<span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">from<\/span> unicodedata <span style=\"color: #008000;\">import<\/span> normalize\n\n<span style=\"color: #008080;\">#read all HTML tables from specific URL\n<\/span>tabs = pd. <span style=\"color: #3366ff;\">read_html<\/span> (' <span style=\"color: #ff0000;\">https:\/\/en.wikipedia.org\/wiki\/National_Basketball_Association<\/span> ')\n\n<span style=\"color: #008080;\">#display total number of tables read\n<\/span><span style=\"color: #008000;\">len<\/span> (tabs)\n\n44<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30da\u30fc\u30b8\u306b\u306f\u5408\u8a08 44 \u306e HTML \u30c6\u30fc\u30d6\u30eb\u304c\u898b\u3064\u304b\u3063\u305f\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u95a2\u5fc3\u306e\u3042\u308b\u30c6\u30fc\u30d6\u30eb\u306b\u300cDivision\u300d\u3068\u3044\u3046\u5358\u8a9e\u304c\u542b\u307e\u308c\u3066\u3044\u308b\u3053\u3068\u304c\u308f\u304b\u3063\u3066\u3044\u308b\u306e\u3067\u3001 <strong>match<\/strong>\u5f15\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u3053\u306e\u5358\u8a9e\u3092\u542b\u3080 HTML \u30c6\u30fc\u30d6\u30eb\u306e\u307f\u3092\u53d6\u5f97\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#read HTML tables from specific URL with the word \"Division\" in them\n<\/span>tabs = pd. <span style=\"color: #3366ff;\">read_html<\/span> (' <span style=\"color: #ff0000;\">https:\/\/en.wikipedia.org\/wiki\/National_Basketball_Association<\/span> ',\n                    match=' <span style=\"color: #ff0000;\">Division<\/span> ')\n\n<span style=\"color: #008080;\">#display total number of tables read\n<\/span><span style=\"color: #008000;\">len<\/span> (tabs)\n\n1<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306b\u3001\u30c6\u30fc\u30d6\u30eb\u306e\u5217\u306e<a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u30ea\u30b9\u30c8\u306e\u5217\u540d\/\" target=\"_blank\" rel=\"noopener\">\u540d\u524d\u3092\u30ea\u30b9\u30c8\u3057\u307e\u3059<\/a>\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define table\n<span style=\"color: #000000;\">df = tabs[0]<\/span>\n\n#list all column names of table\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">list<\/span> (df)\n\n[('Division', 'Eastern Conference'),\n ('Team', 'Eastern Conference'),\n ('Location', 'Eastern Conference'),\n ('Arena', 'Eastern Conference'),\n ('Capacity', 'Eastern Conference'),\n ('Coordinates', 'Eastern Conference'),\n ('Founded', 'Eastern Conference'),\n ('Joined', 'Eastern Conference'),\n ('Unnamed: 8_level_0', 'Eastern Conference')]<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6700\u521d\u306e 2 \u5217\u306e\u307f\u306b\u8208\u5473\u304c\u3042\u308b\u306e\u3067\u3001\u3053\u308c\u3089\u306e\u5217\u306e\u307f\u304c\u542b\u307e\u308c\u308b\u3088\u3046\u306b DataFrame<a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099-loc-\u5bfe-iloc\/\" target=\"_blank\" rel=\"noopener\">\u3092\u30d5\u30a3\u30eb\u30bf\u30fc<\/a>\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#filter DataFrame to only contain first two columns\n<\/span>df_final = df. <span style=\"color: #3366ff;\">iloc<\/span> [:, 0:2]\n\n<span style=\"color: #008080;\">#rename columns\n<\/span>df_final. <span style=\"color: #3366ff;\">columns<\/span> = [' <span style=\"color: #ff0000;\">Division<\/span> ', ' <span style=\"color: #ff0000;\">Team<\/span> ']\n\n<span style=\"color: #008080;\">#view first few rows of final DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">df_final.head<\/span> ())\n\n   Division Team\n0 Atlantic Boston Celtics\n1 Atlantic Brooklyn Nets\n2 Atlantic New York Knicks\n3 Atlantic Philadelphia 76ers\n4 Atlantic Toronto Raptors\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u6700\u5f8c\u306e\u30c6\u30fc\u30d6\u30eb\u306b\u306f\u3001\u300c\u90e8\u9580\u300d\u5217\u3068\u300c\u30c1\u30fc\u30e0\u300d\u5217\u306e\u307f\u304c\u542b\u307e\u308c\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001\u30d1\u30f3\u30c0\u3067\u4ed6\u306e\u30d5\u30a1\u30a4\u30eb \u30bf\u30a4\u30d7\u3092\u8aad\u307f\u53d6\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u306f\u30c6\u30ad\u30b9\u30c8\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u53d6\u308a\u307e\u3059\/\" target=\"_blank\" rel=\"noopener\">Pandas\u3067\u30c6\u30ad\u30b9\u30c8\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u53d6\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u306f\u30a8\u30af\u30bb\u30eb\u3092\u8aad\u3080\/\" target=\"_blank\" rel=\"noopener\">Pandas \u3067 Excel \u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u53d6\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u306fcsv\u3092\u8aad\u307f\u53d6\u308a\u307e\u3059\/\" target=\"_blank\" rel=\"noopener\">Pandas\u3067CSV\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u53d6\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>pandas read_html()\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001HTML \u30c6\u30fc\u30d6\u30eb\u3092 pandas DataFrame \u306b\u8aad\u307f\u53d6\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002 \u3053\u306e\u95a2\u6570\u306f\u6b21\u306e\u57fa\u672c\u69cb\u6587\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002 df = pd. read_html (&#8216; h [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-2522","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Pandas \u3067 HTML \u30c6\u30fc\u30d6\u30eb\u3092\u8aad\u307f\u53d6\u308b\u65b9\u6cd5 (\u4f8b\u4ed8\u304d) - \u8a18\u4e8b<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001\u30d1\u30f3\u30c0\u3092\u4f7f\u7528\u3057\u3066 HTML \u30c6\u30fc\u30d6\u30eb\u3092\u8aad\u307f\u53d6\u308b\u65b9\u6cd5\u3092\u4f8b\u3092\u6319\u3052\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u306fhtml\u3092\u8aad\u307f\u307e\u3059\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas \u3067 HTML \u30c6\u30fc\u30d6\u30eb\u3092\u8aad\u307f\u53d6\u308b\u65b9\u6cd5 (\u4f8b\u4ed8\u304d) - \u8a18\u4e8b\" \/>\n<meta property=\"og:description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001\u30d1\u30f3\u30c0\u3092\u4f7f\u7528\u3057\u3066 HTML \u30c6\u30fc\u30d6\u30eb\u3092\u8aad\u307f\u53d6\u308b\u65b9\u6cd5\u3092\u4f8b\u3092\u6319\u3052\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u306fhtml\u3092\u8aad\u307f\u307e\u3059\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-21T21:45:15+00:00\" \/>\n<meta name=\"author\" content=\"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u57f7\u7b46\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%afhtml%e3%82%92%e8%aa%ad%e3%81%bf%e3%81%be%e3%81%99\/\",\"url\":\"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%afhtml%e3%82%92%e8%aa%ad%e3%81%bf%e3%81%be%e3%81%99\/\",\"name\":\"Pandas \u3067 HTML \u30c6\u30fc\u30d6\u30eb\u3092\u8aad\u307f\u53d6\u308b\u65b9\u6cd5 (\u4f8b\u4ed8\u304d) - \u8a18\u4e8b\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/ja\/#website\"},\"datePublished\":\"2023-07-21T21:45:15+00:00\",\"dateModified\":\"2023-07-21T21:45:15+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/ja\/#\/schema\/person\/86b92d2dd87368b26360d19d9c6a5d83\"},\"description\":\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001\u30d1\u30f3\u30c0\u3092\u4f7f\u7528\u3057\u3066 HTML 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