{"id":4076,"date":"2023-07-13T18:47:13","date_gmt":"2023-07-13T18:47:13","guid":{"rendered":"https:\/\/statorials.org\/cn\/pandas-%e5%b9%b3%e5%9d%87%e4%b8%ad%e4%bd%8d%e6%95%b0%e6%a8%a1%e5%bc%8f\/"},"modified":"2023-07-13T18:47:13","modified_gmt":"2023-07-13T18:47:13","slug":"pandas-%e5%b9%b3%e5%9d%87%e4%b8%ad%e4%bd%8d%e6%95%b0%e6%a8%a1%e5%bc%8f","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/pandas-%e5%b9%b3%e5%9d%87%e4%b8%ad%e4%bd%8d%e6%95%b0%e6%a8%a1%e5%bc%8f\/","title":{"rendered":"\u5982\u4f55\u8ba1\u7b97pandas\u4e2d\u7684\u5747\u503c\u3001\u4e2d\u4f4d\u6570\u548c\u4f17\u6570"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u51fd\u6570\u6765\u8ba1\u7b97 pandas DataFrame \u4e2d\u6bcf\u4e2a\u6570\u5b57\u5217\u7684\u5e73\u5747\u503c\u3001\u4e2d\u4f4d\u6570\u548c\u4f17\u6570\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">df.mean<\/span> (numeric_only= <span style=\"color: #008000;\">True<\/span> ))\n<span style=\"color: #008000;\">print<\/span> (df. <span style=\"color: #3366ff;\">median<\/span> (numeric_only= <span style=\"color: #008000;\">True<\/span> ))\n<span style=\"color: #008000;\">print<\/span> (df. <span style=\"color: #3366ff;\">mode<\/span> (numeric_only= <span style=\"color: #008000;\">True<\/span> ))\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4e0b\u9762\u7684\u4f8b\u5b50\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u8fd9\u4e9b\u51fd\u6570\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1a\u8ba1\u7b97 Pandas \u7684\u5e73\u5747\u503c\u3001\u4e2d\u4f4d\u6570\u548c\u4f17\u6570<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b pandas DataFrame\uff0c\u5176\u4e2d\u5305\u542b\u6709\u5173\u4e0d\u540c\u7bee\u7403\u8fd0\u52a8\u5458\u5728\u56db\u573a\u4e0d\u540c\u6bd4\u8d5b\u4e2d\u5f97\u5206\u7684\u4fe1\u606f\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<\/span><span style=\"color: #000000;\">\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">player<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n                   ' <span style=\"color: #ff0000;\">game1<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\n                   ' <span style=\"color: #ff0000;\">game2<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' <span style=\"color: #ff0000;\">game3<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12],\n                   ' <span style=\"color: #ff0000;\">game4<\/span> ': [9, 8, 10, 9, 14, 15, 10, 11]})\n                   \n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  player game1 game2 game3 game4\n0 A 18 5 11 9\n1 B 22 7 8 8\n2 C 19 7 10 10\n3 D 14 9 6 9\n4 E 14 12 6 14\n5 F 11 9 5 15\n6 G 20 9 9 10\n7:28 4 12 11<\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u6765\u8ba1\u7b97\u6bcf\u4e2a\u6570\u5b57\u5217\u7684<strong>\u5e73\u5747\u503c<\/strong>\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate mean of each numeric column\n<\/span><span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">df.mean<\/span> (numeric_only= <span style=\"color: #008000;\">True<\/span> ))\n\ngame1 18,250\ngame2 7,750\ngame3 8.375\ngame4 10,750\ndtype:float64<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4ece\u7ed3\u679c\u6211\u4eec\u53ef\u4ee5\u770b\u51fa\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>game1<\/strong>\u5217\u4e2d\u7684\u5e73\u5747\u503c\u4e3a<strong>18.25<\/strong> \u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>game2<\/strong>\u5217\u4e2d\u7684\u5e73\u5747\u503c\u4e3a<strong>7.75<\/strong> \u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>game3<\/strong>\u5217\u4e2d\u7684\u5e73\u5747\u503c\u662f<strong>8.375<\/strong> \u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>game4<\/strong>\u5217\u4e2d\u7684\u5e73\u5747\u503c\u662f<strong>10.75<\/strong> \u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u7136\u540e\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u6765\u8ba1\u7b97\u6bcf\u4e2a\u6570\u5b57\u5217\u7684<b>\u4e2d<\/b>\u503c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate median of each numeric column\n<\/span><span style=\"color: #008000;\">print<\/span> (df. <span style=\"color: #3366ff;\">median<\/span> (numeric_only= <span style=\"color: #008000;\">True<\/span> ))\n\ngame1 18.5\ngame2 8.0\ngame3 8.5\ngame4 10.0\ndtype:float64\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4ece\u7ed3\u679c\u6211\u4eec\u53ef\u4ee5\u770b\u51fa\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>game1<\/strong>\u5217\u4e2d\u7684\u4e2d\u503c\u4e3a<strong>18.5<\/strong> \u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>game2<\/strong>\u5217\u4e2d\u7684\u4e2d\u503c\u4e3a<strong>8<\/strong> \u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>game3<\/strong>\u5217\u4e2d\u7684\u4e2d\u503c\u4e3a<strong>8.5<\/strong> \u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>game4<\/strong>\u5217\u4e2d\u7684\u4e2d\u503c\u4e3a<strong>10<\/strong> \u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u7136\u540e\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u6765\u8ba1\u7b97\u6bcf\u4e2a\u6570\u5b57\u5217\u7684<b>\u4f17\u6570<\/b>\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate mode of each numeric column\n<\/span><span style=\"color: #008000;\">print<\/span> (df. <span style=\"color: #3366ff;\">mode<\/span> (numeric_only= <span style=\"color: #008000;\">True<\/span> ))\n\n   game1 game2 game3 game4\n0 14.0 9.0 6.0 9\n1 NaN NaN NaN 10\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4ece\u7ed3\u679c\u6211\u4eec\u53ef\u4ee5\u770b\u51fa\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>game1<\/strong>\u5217\u4e2d\u7684\u6a21\u5f0f\u662f<strong>14<\/strong> \u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>game2<\/strong>\u5217\u4e2d\u7684\u6a21\u5f0f\u662f<strong>9<\/strong> \u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>game3<\/strong>\u5217\u4e2d\u7684\u4f17\u6570\u662f<strong>6<\/strong> \u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>game4<\/strong>\u680f\u4e2d\u7684\u6a21\u5f0f\u662f<strong>9<\/strong>\u548c<strong>10<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c <strong>game4<\/strong>\u5217\u6709\u4e24\u79cd\u6a21\u5f0f\uff0c\u56e0\u4e3a\u8be5\u5217\u4e2d\u51fa\u73b0\u6700\u9891\u7e41\u7684\u6709\u4e24\u4e2a\u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u6ce8\u610f<\/strong>\uff1a\u60a8\u8fd8\u53ef\u4ee5\u4f7f\u7528pandas \u4e2d\u7684<a href=\"https:\/\/statorials.org\/cn\/\u718a\u732b\u63cf\u8ff0\/\" target=\"_blank\" rel=\"noopener\">describe()<\/a>\u51fd\u6570\u4e3a\u6bcf\u5217\u751f\u6210\u66f4\u591a\u63cf\u8ff0\u6027\u7edf\u8ba1\u4fe1\u606f\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 pandas \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u64cd\u4f5c\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/\u6bcf\u7ec4\u4e2d\u578b\u5927\u718a\u732b\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u8ba1\u7b97 pandas \u7684\u7ec4\u5e73\u5747\u503c<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u6bcf\u7ec4\u718a\u732b\u6570\u91cf\u4e2d\u4f4d\u6570\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u8ba1\u7b97 pandas \u4e2d\u7684\u7ec4\u4e2d\u4f4d\u6570<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u5206\u7ec4\u6a21\u5f0f\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Pandas \u4e2d\u6309\u7ec4\u8ba1\u7b97\u4f17\u6570<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u51fd\u6570\u6765\u8ba1\u7b97 pandas DataFrame \u4e2d\u6bcf\u4e2a\u6570\u5b57\u5217\u7684\u5e73\u5747\u503c\u3001\u4e2d\u4f4d\u6570\u548c\u4f17\u6570\uff1a print  [&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-4076","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\u8ba1\u7b97 pandas \u4e2d\u7684\u5747\u503c\u3001\u4e2d\u4f4d\u6570\u548c\u4f17\u6570 - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u8ba1\u7b97 pandas DataFrame \u4e2d\u5217\u7684\u5e73\u5747\u503c\u3001\u4e2d\u4f4d\u6570\u548c\u4f17\u6570\uff0c\u5305\u62ec\u793a\u4f8b\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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