{"id":2525,"date":"2023-07-21T21:45:15","date_gmt":"2023-07-21T21:45:15","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e7%86%8a%e7%8c%ab%e8%af%bb%e5%8f%96html\/"},"modified":"2023-07-21T21:45:15","modified_gmt":"2023-07-21T21:45:15","slug":"%e7%86%8a%e7%8c%ab%e8%af%bb%e5%8f%96html","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e7%86%8a%e7%8c%ab%e8%af%bb%e5%8f%96html\/","title":{"rendered":"\u5982\u4f55\u4f7f\u7528 pandas \u8bfb\u53d6 html \u8868\u683c\uff08\u5305\u62ec\u793a\u4f8b\uff09"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528 pandas <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.read_html.html\" target=\"_blank\" rel=\"noopener\">read_html()<\/a>\u51fd\u6570\u5c06 HTML \u8868\u8bfb\u5165 pandas DataFrame\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8be5\u51fd\u6570\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\uff1a<\/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;\">\u4ee5\u4e0b\u793a\u4f8b\u6f14\u793a\u5982\u4f55\u4f7f\u7528\u6b64\u51fd\u6570<a href=\"https:\/\/en.wikipedia.org\/wiki\/National_Basketball_Association\" target=\"_blank\" rel=\"noopener\">\u4ece\u6b64 Wikipedia \u9875\u9762<\/a>\u8bfb\u53d6 NBA \u7403\u961f\u540d\u79f0\u8868\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1a\u4f7f\u7528 Pandas \u8bfb\u53d6 HTML \u8868\u683c<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5728\u4f7f\u7528<strong>read_html()<\/strong>\u51fd\u6570\u4e4b\u524d\uff0c\u60a8\u53ef\u80fd\u9700\u8981\u5b89\u88c5 lxml\uff1a<\/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\u610f<\/strong>\uff1a\u5982\u679c\u60a8\u4f7f\u7528\u7684\u662f Jupyter \u7b14\u8bb0\u672c\uff0c\u5219\u5fc5\u987b\u5728\u6267\u884c\u6b64\u5b89\u88c5\u540e\u91cd\u65b0\u542f\u52a8\u5185\u6838\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<strong>read_html()<\/strong>\u51fd\u6570\u8bfb\u53d6<a href=\"https:\/\/en.wikipedia.org\/wiki\/National_Basketball_Association\" target=\"_blank\" rel=\"noopener\">\u6b64\u7ef4\u57fa\u767e\u79d1\u9875\u9762<\/a>\u4e0a\u7684\u6bcf\u4e2a HTML \u8868\u683c\uff1a<\/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;\">\u6211\u4eec\u53ef\u4ee5\u770b\u5230\uff0c\u8be5\u9875\u9762\u603b\u5171\u627e\u5230\u4e86 44 \u4e2a HTML \u8868\u683c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6211\u77e5\u9053\u6211\u611f\u5174\u8da3\u7684\u8868\u5305\u542b\u5355\u8bcd\u201cDivision\u201d\uff0c\u56e0\u6b64\u6211\u53ef\u4ee5\u4f7f\u7528<strong>match<\/strong>\u53c2\u6570\u6765\u4ec5\u68c0\u7d22\u5305\u542b\u8be5\u5355\u8bcd\u7684 HTML \u8868\uff1a<\/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;\">\u7136\u540e\u6211\u53ef\u4ee5<a href=\"https:\/\/statorials.org\/cn\/pandas-\u5217\u8868\u5217\u540d\/\" target=\"_blank\" rel=\"noopener\">\u5217\u51fa\u8868\u5217\u7684\u540d\u79f0<\/a>\uff1a<\/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;\">\u6211\u53ea\u5bf9\u524d\u4e24\u5217\u611f\u5174\u8da3\uff0c\u56e0\u6b64\u6211\u53ef\u4ee5<a href=\"https:\/\/statorials.org\/cn\/pandas-loc-\u4e0e-iloc\/\" target=\"_blank\" rel=\"noopener\">\u8fc7\u6ee4<\/a>DataFrame \u4ee5\u4ec5\u5305\u542b\u8fd9\u4e9b\u5217\uff1a<\/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\u7ec8\u8868\u4ec5\u5305\u542b\u201c\u90e8\u95e8\u201d\u548c\u201c\u56e2\u961f\u201d\u5217\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 pandas \u4e2d\u8bfb\u53d6\u5176\u4ed6\u6587\u4ef6\u7c7b\u578b\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/pandas-\u8bfb\u53d6\u6587\u672c\u6587\u4ef6\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u4f7f\u7528 Pandas \u8bfb\u53d6\u6587\u672c\u6587\u4ef6<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u718a\u732b\u8bfb\u53d6excel\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u4f7f\u7528 Pandas \u8bfb\u53d6 Excel \u6587\u4ef6<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u8bfb\u53d6-csv\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u4f7f\u7528 Pandas \u8bfb\u53d6 CSV \u6587\u4ef6<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528 pandas read_html()\u51fd\u6570\u5c06 HTML \u8868\u8bfb\u5165 pandas DataFrame\u3002  [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-2525","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u5982\u4f55\u4f7f\u7528 Pandas \u8bfb\u53d6 HTML \u8868\u683c\uff08\u5e26\u6709\u793a\u4f8b\uff09 - Statorials<\/title>\n<meta name=\"description\" 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