{"id":1732,"date":"2023-07-25T05:15:38","date_gmt":"2023-07-25T05:15:38","guid":{"rendered":"https:\/\/statorials.org\/cn\/pandas-%e5%90%88%e5%b9%b6%e4%b8%a4%e5%88%97\/"},"modified":"2023-07-25T05:15:38","modified_gmt":"2023-07-25T05:15:38","slug":"pandas-%e5%90%88%e5%b9%b6%e4%b8%a4%e5%88%97","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/pandas-%e5%90%88%e5%b9%b6%e4%b8%a4%e5%88%97\/","title":{"rendered":"\u5982\u4f55\u5408\u5e76 pandas \u4e2d\u7684\u4e24\u5217\uff08\u9644\u793a\u4f8b\uff09"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u5c06 pandas DataFrame \u4e2d\u7684\u4e24\u4e2a\u6587\u672c\u5217\u5408\u5e76\u4e3a\u4e00\u4e2a\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">new_column<\/span> '] = df[' <span style=\"color: #ff0000;\">column1<\/span> '] + df[' <span style=\"color: #ff0000;\">column2<\/span> ']\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u5982\u679c\u5176\u4e2d\u4e00\u5217\u8fd8\u4e0d\u662f\u5b57\u7b26\u4e32\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528<strong>astype(str)<\/strong>\u547d\u4ee4\u5c06\u5176\u8f6c\u6362\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">new_column<\/span> '] = df[' <span style=\"color: #ff0000;\">column1<\/span> ']. <span style=\"color: #3366ff;\">astype<\/span> ( <span style=\"color: #008000;\">str<\/span> )+df[' <span style=\"color: #ff0000;\">column2<\/span> ']<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u5c06\u591a\u4e2a\u6587\u672c\u5217\u5408\u5e76\u4e3a\u4e00\u4e2a\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">new_column<\/span> '] = df[[' <span style=\"color: #ff0000;\">col1<\/span> ', ' <span style=\"color: #ff0000;\">col2<\/span> ', ' <span style=\"color: #ff0000;\">col3<\/span> ', ...]]. <span style=\"color: #3366ff;\">agg<\/span> (' '. <span style=\"color: #3366ff;\">join<\/span> , axis= <span style=\"color: #008000;\">1<\/span> )<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u7ec4\u5408\u6587\u672c\u5217\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 1\uff1a\u5408\u5e76\u4e24\u5217<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u5728 pandas DataFrame \u4e2d\u5c06\u4e24\u4e2a\u6587\u672c\u5217\u5408\u5e76\u4e3a\u4e00\u5217\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;\">#create dataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['Mavs', 'Lakers', 'Spurs', 'Cavs'],\n                   ' <span style=\"color: #ff0000;\">first<\/span> ': ['Dirk', 'Kobe', 'Tim', 'Lebron'],\n                   ' <span style=\"color: #ff0000;\">last<\/span> ': ['Nowitzki', 'Bryant', 'Duncan', 'James'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [26, 31, 22, 29]})\n\n<span style=\"color: #008080;\">#combine first and last name column into new column, with space in between<\/span>\ndf[' <span style=\"color: #ff0000;\">full_name<\/span> '] = df[' <span style=\"color: #ff0000;\">first<\/span> '] + ' ' + df[' <span style=\"color: #ff0000;\">last<\/span> ']\n\n<span style=\"color: #008080;\">#view resulting dataFrame\n<span style=\"color: #000000;\">df<\/span>\n\n<span style=\"color: #000000;\">team first last<\/span> <span style=\"color: #000000;\">points full_name\n0 Mavs Dirk Nowitzki<\/span> <span style=\"color: #000000;\">26 Dirk Nowitzki\n1 Lakers Kobe Bryant<\/span> <span style=\"color: #000000;\">31 Kobe Bryant\n2 Spurs Tim Duncan<\/span> <span style=\"color: #000000;\">22 Tim Duncan\n3 Cavs LeBron James<\/span> <span style=\"color: #000000;\">29 LeBron James\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u5df2\u7ecf\u5c06\u540d\u5b57\u548c\u59d3\u6c0f\u5217\u8fde\u63a5\u5728\u4e00\u8d77\uff0c\u4e2d\u95f4\u6709\u4e00\u4e2a\u7a7a\u683c\uff0c\u4f46\u6211\u4eec\u4e5f\u53ef\u4ee5\u4f7f\u7528\u4e0d\u540c\u7684\u5206\u9694\u7b26\uff0c\u4f8b\u5982\u8fde\u5b57\u7b26\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#combine first and last name column into new column, with dash in between<\/span>\ndf[' <span style=\"color: #ff0000;\">full_name<\/span> '] = df[' <span style=\"color: #ff0000;\">first<\/span> '] + ' <span style=\"color: #ff0000;\">-<\/span> ' + df[' <span style=\"color: #ff0000;\">last<\/span> ']\n\n<span style=\"color: #008080;\">#view resulting dataFrame\n<span style=\"color: #000000;\">df<\/span>\n\n<span style=\"color: #000000;\">team first last<\/span> <span style=\"color: #000000;\">points full_name\n0 Mavs Dirk Nowitzki<\/span> <span style=\"color: #000000;\">26 Dirk<\/span> - <span style=\"color: #000000;\">Nowitzki\n1 Lakers Kobe Bryant<\/span> <span style=\"color: #000000;\">31 Kobe<\/span> - <span style=\"color: #000000;\">Bryant\n2 Spurs Tim Duncan<\/span> <span style=\"color: #000000;\">22 Tim<\/span> - <span style=\"color: #000000;\">Duncan\n3 Cavs Lebron James<\/span> <span style=\"color: #000000;\">29 Lebron<\/span> - <span style=\"color: #000000;\">James<\/span><\/span><\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 2\uff1a\u8f6c\u6362\u4e3a\u6587\u672c\u5e76\u5408\u5e76\u4e24\u5217<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u663e\u793a\u5982\u4f55\u5c06\u5217\u8f6c\u6362\u4e3a\u6587\u672c\uff0c\u7136\u540e\u5c06\u5176\u8fde\u63a5\u5230\u53e6\u4e00\u5217\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;\">#create dataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['Mavs', 'Lakers', 'Spurs', 'Cavs'],\n                   ' <span style=\"color: #ff0000;\">first<\/span> ': ['Dirk', 'Kobe', 'Tim', 'Lebron'],\n                   ' <span style=\"color: #ff0000;\">last<\/span> ': ['Nowitzki', 'Bryant', 'Duncan', 'James'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [26, 31, 22, 29]})\n\n<span style=\"color: #008080;\">#convert points to text, then join to last name column<\/span>\ndf[' <span style=\"color: #ff0000;\">name_points<\/span> '] = df[' <span style=\"color: #ff0000;\">last<\/span> '] + df[' <span style=\"color: #ff0000;\">points<\/span> ']. <span style=\"color: #3366ff;\">astype<\/span> ( <span style=\"color: #008000;\">str<\/span> )\n\n<span style=\"color: #008080;\">#view resulting dataFrame\n<span style=\"color: #000000;\">df<\/span>\n\n        <span style=\"color: #000000;\">team first last<\/span> <span style=\"color: #000000;\">points name_points\n0 Mavs Dirk Nowitzki<\/span> <span style=\"color: #000000;\">26 Nowitzki26\n1 Lakers Kobe Bryant<\/span> <span style=\"color: #000000;\">31 Bryant31\n2 Spurs Tim Duncan<\/span> <span style=\"color: #000000;\">22 Duncan22\n3 Cavs LeBron James<\/span> <span style=\"color: #000000;\">29 James29<\/span><\/span><\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 3\uff1a\u5408\u5e76\u4e24\u5217\u4ee5\u4e0a<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u5c06\u591a\u5217\u5408\u5e76\u4e3a\u4e00\u5217\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;\">#create dataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['Mavs', 'Lakers', 'Spurs', 'Cavs'],\n                   ' <span style=\"color: #ff0000;\">first<\/span> ': ['Dirk', 'Kobe', 'Tim', 'Lebron'],\n                   ' <span style=\"color: #ff0000;\">last<\/span> ': ['Nowitzki', 'Bryant', 'Duncan', 'James'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [26, 31, 22, 29]})\n\n<span style=\"color: #008080;\">#join team, first name, and last name into one column<\/span>\ndf[' <span style=\"color: #ff0000;\">team_and_name<\/span> '] = df[[' <span style=\"color: #ff0000;\">team<\/span> ', ' <span style=\"color: #ff0000;\">first<\/span> ', ' <span style=\"color: #ff0000;\">last<\/span> ']]. <span style=\"color: #3366ff;\">agg<\/span> (' '. <span style=\"color: #3366ff;\">join<\/span> , axis= <span style=\"color: #008000;\">1<\/span> )\n\n<span style=\"color: #008080;\">#view resulting dataFrame\n<span style=\"color: #000000;\">df<\/span>\n\n<span style=\"color: #000000;\">team first last points team_name\n0 Mavs Dirk Nowitzki 26 Mavs Dirk Nowitzki\n1 Lakers Kobe Bryant 31 Lakers Kobe Bryant\n2 Spurs Tim Duncan 22 Spurs Tim Duncan\n3 Cavs Lebron James 29 Cavs Lebron James<\/span><\/span><\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/cn\/pandas-\u4e24\u5217\u4e4b\u95f4\u7684\u5dee\u5f02\/\" target=\"_blank\" rel=\"noopener\">Pandas\uff1a\u5982\u4f55\u627e\u5230\u4e24\u5217\u4e4b\u95f4\u7684\u5dee\u5f02<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u884c\u4e4b\u95f4\u7684\u5dee\u5f02\/\" target=\"_blank\" rel=\"noopener\">Pandas\uff1a\u5982\u4f55\u627e\u5230\u4e24\u6761\u7ebf\u4e4b\u95f4\u7684\u5dee\u5f02<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u6309\u540d\u79f0\u5bf9\u5217\u8fdb\u884c\u6392\u5e8f\/\" target=\"_blank\" rel=\"noopener\">Pandas\uff1a\u5982\u4f55\u6309\u540d\u79f0\u5bf9\u5217\u8fdb\u884c\u6392\u5e8f<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u5c06 pandas DataFrame \u4e2d\u7684\u4e24\u4e2a\u6587\u672c\u5217\u5408\u5e76\u4e3a\u4e00\u4e2a\uff1a df[&#8216; new_colu [&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-1732","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\u5408\u5e76 Pandas \u4e2d\u7684\u4e24\u5217\uff08\u9644\u793a\u4f8b\uff09<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u51e0\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u7ec4\u5408 pandas DataFrame \u4e2d\u7684\u4e24\u5217\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\/cn\/pandas-\u5408\u5e76\u4e24\u5217\/\" \/>\n<meta property=\"og:locale\" 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