{"id":3005,"date":"2023-07-19T16:34:23","date_gmt":"2023-07-19T16:34:23","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e5%a4%a7%e7%86%8a%e7%8c%ab%e4%b8%8d%e6%97%8b%e8%bd%ac\/"},"modified":"2023-07-19T16:34:23","modified_gmt":"2023-07-19T16:34:23","slug":"%e5%a4%a7%e7%86%8a%e7%8c%ab%e4%b8%8d%e6%97%8b%e8%bd%ac","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e5%a4%a7%e7%86%8a%e7%8c%ab%e4%b8%8d%e6%97%8b%e8%bd%ac\/","title":{"rendered":"\u5982\u4f55\u53d6\u6d88 pandas dataframe \u7684\u900f\u89c6\uff08\u4e3e\u4f8b\uff09"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u5728 pandas \u4e2d\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528<a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.melt.html\" target=\"_blank\" rel=\"noopener\">Melt()<\/a>\u51fd\u6570\u6765\u53d6\u6d88\u900f\u89c6 DataFrame\u2014\u2014\u5c06\u5176\u4ece\u5bbd\u683c\u5f0f\u8f6c\u6362\u4e3a<a href=\"https:\/\/statorials.org\/cn\/\u957f\u6570\u636e\u4e0e\u5bbd\u6570\u636e\/\" target=\"_blank\" rel=\"noopener\">\u957f\u683c\u5f0f<\/a>\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_unpivot = pd. <span style=\"color: #3366ff;\">melt<\/span> (df, id_vars=' <span style=\"color: #ff0000;\">col1<\/span> ', value_vars=[' <span style=\"color: #ff0000;\">col2<\/span> ', ' <span style=\"color: #ff0000;\">col3<\/span> ', ...])\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u91d1\u5b50\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>id_vars<\/strong> \uff1a\u7528\u4f5c\u6807\u8bc6\u7b26\u7684\u5217<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>value_vars<\/strong> \uff1a\u8981\u53d6\u6d88\u900f\u89c6\u7684\u5217<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6b64\u8bed\u6cd5\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1a\u53cd\u8f6c Pandas DataFrame<\/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;\">#createDataFrame\n<span style=\"color: #000000;\">df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'B', 'C', 'D', 'E'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [18, 22, 19, 14, 14],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9, 12],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [11, 8, 10, 6, 6]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points assists rebounds\n0 A 18 5 11\n1 B 22 7 8\n2 C 19 7 10\n3 D 14 9 6\n4 E 14 12 6<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u6765\u201c\u9006\u900f\u89c6\u201dDataFrame\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#unpivot DataFrame from wide format to long format\n<span style=\"color: #000000;\">df_unpivot = pd. <span style=\"color: #3366ff;\">melt<\/span> (df, id_vars=' <span style=\"color: #ff0000;\">team<\/span> ', value_vars=[' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">assists<\/span> ', ' <span style=\"color: #ff0000;\">rebounds<\/span> '])\n<\/span>\n#view updated DataFrame\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">print<\/span> (df_unpivot)\n\n   team variable value\n0 A points 18\n1 B points 22\n2 C points 19\n3 D dots 14\n4 E points 14\n5 A assists 5\n6 B assists 7\n7 C assists 7\n8 D assists 9\n9 E assists 12\n10 A rebounds 11\n11 B rebounds 8\n12 C rebounds 10\n13 D rebounds 6\n14 E rebounds 6\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u4f7f\u7528<strong>\u7403\u961f<\/strong>\u5217\u4f5c\u4e3a\u6807\u8bc6\u7b26\u5217\uff0c\u5e76\u9009\u62e9\u4e0d\u8f6e\u6362\u5f97\u5206\u3001<strong>\u52a9\u653b<\/strong>\u548c<strong>\u7bee\u677f<\/strong><strong>\u5217<\/strong>\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u7ed3\u679c\u662f\u4e00\u4e2a\u957f\u683c\u5f0f\u7684 DataFrame\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528<strong>var_name<\/strong>\u548c<strong>value_name<\/strong>\u53c2\u6570\u6765\u6307\u5b9a\u672a\u65cb\u8f6c DataFrame \u4e2d\u7684\u5217\u540d\u79f0\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;\">#unpivot DataFrame from wide format to long format<\/span>\ndf_unpivot = pd. <span style=\"color: #3366ff;\">melt<\/span> (df, id_vars=' <span style=\"color: #ff0000;\">team<\/span> ', value_vars=[' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">assists<\/span> ', ' <span style=\"color: #ff0000;\">rebounds<\/span> '],\n             var_name=' <span style=\"color: #ff0000;\">metric<\/span> ', value_name=' <span style=\"color: #ff0000;\">amount<\/span> ')\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df_unpivot)\n\n   team metric amount\n0 A points 18\n1 B points 22\n2 C points 19\n3 D dots 14\n4 E points 14\n5 A assists 5\n6 B assists 7\n7 C assists 7\n8 D assists 9\n9 E assists 12\n10 A rebounds 11\n11 B rebounds 8\n12 C rebounds 10\n13 D rebounds 6\n14 E rebounds 6\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u65b0\u5217\u73b0\u5728\u7684\u6807\u9898\u4e3a<strong>Metric<\/strong>\u548c<strong>Amount<\/strong> \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 Python \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u64cd\u4f5c\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/pandas-\u5c06\u884c\u6dfb\u52a0\u5230\u6570\u636e\u6846\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5411 Pandas DataFrame \u6dfb\u52a0\u884c<\/a><br \/>\u5982\u4f55\u5411 Pandas DataFrame \u6dfb\u52a0\u5217<br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u8ba1\u7b97\u5217\u4e2d\u7684\u7279\u5b9a\u503c\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u7edf\u8ba1Pandas DataFrame\u4e2d\u7279\u5b9a\u503c\u7684\u51fa\u73b0\u6b21\u6570<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5728 pandas \u4e2d\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528Melt()\u51fd\u6570\u6765\u53d6\u6d88\u900f\u89c6 DataFrame\u2014\u2014\u5c06\u5176\u4ece\u5bbd\u683c\u5f0f\u8f6c\u6362\u4e3a\u957f\u683c\u5f0f\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-3005","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\u53d6\u6d88 Pandas DataFrame \u7684\u900f\u89c6\uff08\u4e3e\u4f8b\uff09 - Statorials<\/title>\n<meta name=\"description\" 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