{"id":2184,"date":"2023-07-23T08:40:50","date_gmt":"2023-07-23T08:40:50","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e5%80%bc%e7%9a%84%e9%95%bf%e5%ba%a6%e4%b8%8e%e7%b4%a2%e5%bc%95%e7%9a%84%e9%95%bf%e5%ba%a6%e4%b8%8d%e5%af%b9%e5%ba%94\/"},"modified":"2023-07-23T08:40:50","modified_gmt":"2023-07-23T08:40:50","slug":"%e5%80%bc%e7%9a%84%e9%95%bf%e5%ba%a6%e4%b8%8e%e7%b4%a2%e5%bc%95%e7%9a%84%e9%95%bf%e5%ba%a6%e4%b8%8d%e5%af%b9%e5%ba%94","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e5%80%bc%e7%9a%84%e9%95%bf%e5%ba%a6%e4%b8%8e%e7%b4%a2%e5%bc%95%e7%9a%84%e9%95%bf%e5%ba%a6%e4%b8%8d%e5%af%b9%e5%ba%94\/","title":{"rendered":"\u5982\u4f55\u4fee\u590d\uff1a\u503c\u7684\u957f\u5ea6\u4e0e\u7d22\u5f15\u957f\u5ea6\u4e0d\u5339\u914d"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u4f7f\u7528 pandas \u65f6\u53ef\u80fd\u9047\u5230\u7684\u9519\u8bef\u662f\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #ff0000;\">ValueError: <span style=\"color: #000000;\">Length of values does not match length of index\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u5f53\u60a8\u5c1d\u8bd5\u5c06 NumPy \u503c\u6570\u7ec4\u5206\u914d\u7ed9 pandas DataFrame \u4e2d\u7684\u65b0\u5217\uff0c\u4f46\u6570\u7ec4\u7684\u957f\u5ea6\u4e0e\u7d22\u5f15\u7684\u5f53\u524d\u957f\u5ea6\u4e0d\u5339\u914d\u65f6\uff0c\u4f1a\u53d1\u751f\u6b64\u9519\u8bef\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u7ea0\u6b63\u6b64\u9519\u8bef\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5982\u4f55\u91cd\u73b0\u9519\u8bef<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b pandas DataFrame\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\n<span style=\"color: #008080;\">#define DataFrame\n<span style=\"color: #000000;\">df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">points<\/span> ': [25, 12, 15, 14],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 13, 12]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n   assist points\n0 25 5\n1 12 7\n2 15 13\n3 14 12\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u73b0\u5728\u5047\u8bbe\u6211\u4eec\u5c1d\u8bd5\u6dfb\u52a0\u4e00\u4e2a\u540d\u4e3a\u201cbounces\u201d\u7684\u65b0\u5217\u4f5c\u4e3a NumPy \u6570\u7ec4\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np<\/span>\n\n#attempt to add 'rebounds' column\n<span style=\"color: #000000;\">df[' <span style=\"color: #ff0000;\">rebounds<\/span> '] = np. <span style=\"color: #3366ff;\">array<\/span> ([3, 3, 7])\n\n<span style=\"color: #ff0000;\">ValueError<\/span> : Length of values (3) does not match length of index (4)\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u6536\u5230<strong>ValueError \u662f<\/strong>\u56e0\u4e3a\u6211\u4eec\u5c1d\u8bd5\u5c06\u957f\u5ea6\u4e3a<strong>3 \u7684<\/strong>NumPy \u6570\u7ec4\u6dfb\u52a0\u5230\u7d22\u5f15\u957f\u5ea6\u4e3a<strong>4<\/strong>\u7684 DataFrame \u4e2d\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5982\u4f55\u4fee\u590d\u9519\u8bef<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4fee\u590d\u6b64\u9519\u8bef\u7684\u6700\u7b80\u5355\u65b9\u6cd5\u662f\u4f7f\u7528 pandas \u7cfb\u5217\u800c\u4e0d\u662f NumPy \u6570\u7ec4\u521b\u5efa\u4e00\u4e2a\u65b0\u5217\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0c\u5982\u679c pandas \u7cfb\u5217\u7684\u957f\u5ea6\u4e0e DataFrame \u7d22\u5f15\u7684\u957f\u5ea6\u4e0d\u5bf9\u5e94\uff0c\u5219\u5c06\u8f93\u5165 NaN \u503c\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;\">#create 'rebounds' column\n<\/span>df[' <span style=\"color: #ff0000;\">rebounds<\/span> '] = pd. <span style=\"color: #3366ff;\">Series<\/span> ([3, 3, 7])<\/span>\n\n#view updated DataFrame\n<span style=\"color: #000000;\">df\n\n\tpoints assists rebounds\n0 25 5 3.0\n1 12 7 3.0\n2 15 13 7.0\n3 14 12 NaN<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4f7f\u7528 pandas \u7cfb\u5217\uff0c\u6211\u4eec\u53ef\u4ee5\u6210\u529f\u6dfb\u52a0\u201cbounces\u201d\u5217\uff0c\u5e76\u4e14\u7f3a\u5931\u7684\u503c\u53ea\u9700\u7528 NaN \u586b\u5145\u5373\u53ef\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<strong>fillna()<\/strong>\u65b9\u6cd5\u5feb\u901f\u5c06 NaN \u503c\u8f6c\u6362\u4e3a\u53e6\u4e00\u4e2a\u503c\uff08\u4f8b\u5982\u96f6\uff09\uff0c\u5982\u4e0b\u6240\u793a\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fill in NaN values with zero\n<span style=\"color: #000000;\">df = df. <span style=\"color: #3366ff;\">fillna<\/span> (0)\n\n<\/span>#view updated DataFrame\n<span style=\"color: #000000;\">df\n\npoints assists rebounds\n0 25 5 3.0\n1 12 7 3.0\n2 15 13 7.0\n3 14 12 0.0<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0cNaN \u503c\u5df2\u8f6c\u6362\u4e3a\u96f6\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\u4fee\u590d Python \u4e2d\u7684\u5176\u4ed6\u5e38\u89c1\u9519\u8bef\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/\u718a\u732b\u5173\u952e\u9519\u8bef\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u4fee\u590d Pandas \u4e2d\u7684 KeyError<\/a><br \/> <a href=\"https:\/\/statorials.org\/cn\/valueerror-\u65e0\u6cd5\u5c06-float-nan-\u8f6c\u6362\u4e3a\u6574\u6570\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u4fee\u590d\uff1aValueError\uff1a\u65e0\u6cd5\u5c06 float NaN \u8f6c\u6362\u4e3a int<\/a><br \/> <a href=\"https:\/\/statorials.org\/cn\/\u64cd\u4f5c\u6570\u65e0\u6cd5\u7528\u4ee5\u4e0b\u5f62\u5f0f\u5e7f\u64ad\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u4fee\u590d\uff1aValueError\uff1a\u64cd\u4f5c\u6570\u65e0\u6cd5\u4e0e\u5f62\u72b6\u4e00\u8d77\u5e7f\u64ad<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4f7f\u7528 pandas \u65f6\u53ef\u80fd\u9047\u5230\u7684\u9519\u8bef\u662f\uff1a ValueError: Length of values does  [&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-2184","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\u4fee\u590d\uff1a\u503c\u957f\u5ea6\u4e0e\u7d22\u5f15\u957f\u5ea6\u4e0d\u5339\u914d - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u4fee\u590d Python 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