{"id":3753,"date":"2023-07-15T18:25:35","date_gmt":"2023-07-15T18:25:35","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e7%86%8a%e7%8c%ab%e6%97%b6%e5%b7%ae\/"},"modified":"2023-07-15T18:25:35","modified_gmt":"2023-07-15T18:25:35","slug":"%e7%86%8a%e7%8c%ab%e6%97%b6%e5%b7%ae","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e7%86%8a%e7%8c%ab%e6%97%b6%e5%b7%ae\/","title":{"rendered":"Pandas\uff1a\u5982\u4f55\u8ba1\u7b97\u4e24\u4e2a\u65f6\u95f4\u4e4b\u95f4\u7684\u5dee\u5f02"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u6765\u8ba1\u7b97 pandas DataFrame \u4e2d\u4e24\u4e2a\u65f6\u95f4\u4e4b\u95f4\u7684\u5dee\u5f02\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate time difference in hours\n<\/span>df[' <span style=\"color: #ff0000;\">hours_diff<\/span> '] = (df. <span style=\"color: #3366ff;\">end_time<\/span> - df. <span style=\"color: #3366ff;\">start_time<\/span> ) \/ pd. <span style=\"color: #3366ff;\">Timedelta<\/span> (hours= <span style=\"color: #008000;\">1<\/span> )\n\n<span style=\"color: #008080;\">#calculate time difference in minutes\n<\/span>df[' <span style=\"color: #ff0000;\">min_diff<\/span> '] = (df. <span style=\"color: #3366ff;\">end_time<\/span> - df. <span style=\"color: #3366ff;\">start_time<\/span> ) \/ pd. <span style=\"color: #3366ff;\">Timedelta<\/span> (minutes= <span style=\"color: #008000;\">1<\/span> )\n\n<span style=\"color: #008080;\">#calculate time difference in seconds\n<\/span>df[' <span style=\"color: #ff0000;\">sec_diff<\/span> '] = (df. <span style=\"color: #3366ff;\">end_time<\/span> - df. <span style=\"color: #3366ff;\">start_time<\/span> ) \/ pd. <span style=\"color: #3366ff;\">Timedelta<\/span> (seconds= <span style=\"color: #008000;\">1<\/span> )\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b64\u7279\u5b9a\u793a\u4f8b\u8ba1\u7b97\u67d0\u4e9b Pandas DataFrame \u7684<strong>end_time<\/strong>\u548c<strong>start_time<\/strong>\u5217\u4e2d\u7684\u65f6\u95f4\u5dee\u3002<\/span><\/p>\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<h2><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1a\u8ba1\u7b97 pandas \u4e2d\u4e24\u4e2a\u65f6\u95f4\u4e4b\u95f4\u7684\u5dee\u5f02<\/strong><\/span><\/h2>\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<span style=\"color: #000000;\">\ndf=pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">start_time<\/span> ':pd. <span style=\"color: #3366ff;\">date_range<\/span> (start=' <span style=\"color: #ff0000;\">5\/25\/2020<\/span> ', periods= <span style=\"color: #008000;\">6<\/span> , freq=' <span style=\"color: #ff0000;\">15min<\/span> '),\n                 ' <span style=\"color: #ff0000;\">end_time<\/span> ':pd. <span style=\"color: #3366ff;\">date_range<\/span> (start=' <span style=\"color: #ff0000;\">5\/26\/2020<\/span> ', periods= <span style=\"color: #008000;\">6<\/span> , freq=' <span style=\"color: #ff0000;\">30min<\/span> ')})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n           start_time end_time\n0 2020-05-25 00:00:00 2020-05-26 00:00:00\n1 2020-05-25 00:15:00 2020-05-26 00:30:00\n2 2020-05-25 00:30:00 2020-05-26 01:00:00\n3 2020-05-25 00:45:00 2020-05-26 01:30:00\n4 2020-05-25 01:00:00 2020-05-26 02:00:00\n5 2020-05-25 01:15:00 2020-05-26 02:30:00\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u6765\u8ba1\u7b97<strong>start_time<\/strong>\u548c<strong>end_time<\/strong>\u5217\u4e4b\u95f4\u7684\u65f6\u3001\u5206\u3001\u79d2\u7684\u65f6\u95f4\u5dee\uff1a<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate time difference in hours\n<\/span>df[' <span style=\"color: #ff0000;\">hours_diff<\/span> '] = (df. <span style=\"color: #3366ff;\">end_time<\/span> - df. <span style=\"color: #3366ff;\">start_time<\/span> ) \/ pd. <span style=\"color: #3366ff;\">Timedelta<\/span> (hours= <span style=\"color: #008000;\">1<\/span> )\n\n<span style=\"color: #008080;\">#calculate time difference in minutes\n<\/span>df[' <span style=\"color: #ff0000;\">min_diff<\/span> '] = (df. <span style=\"color: #3366ff;\">end_time<\/span> - df. <span style=\"color: #3366ff;\">start_time<\/span> ) \/ pd. <span style=\"color: #3366ff;\">Timedelta<\/span> (minutes= <span style=\"color: #008000;\">1<\/span> )\n\n<span style=\"color: #008080;\">#calculate time difference in seconds\n<\/span>df[' <span style=\"color: #ff0000;\">sec_diff<\/span> '] = (df. <span style=\"color: #3366ff;\">end_time<\/span> - df. <span style=\"color: #3366ff;\">start_time<\/span> ) \/ pd. <span style=\"color: #3366ff;\">Timedelta<\/span> (seconds= <span style=\"color: #008000;\">1<\/span> )\n\n<span style=\"color: #008080;\">#view updated DataFrame<\/span>\n<span style=\"color: #008000;\">print<\/span> (df)\n\n           start_time end_time hours_diff min_diff sec_diff\n0 2020-05-25 00:00:00 2020-05-26 00:00:00 24.00 1440.0 86400.0\n1 2020-05-25 00:15:00 2020-05-26 00:30:00 24.25 1455.0 87300.0\n2 2020-05-25 00:30:00 2020-05-26 01:00:00 24.50 1470.0 88200.0\n3 2020-05-25 00:45:00 2020-05-26 01:30:00 24.75 1485.0 89100.0\n4 2020-05-25 01:00:00 2020-05-26 02:00:00 25.00 1500.0 90000.0\n5 2020-05-25 01:15:00 2020-05-26 02:30:00 25.25 1515.0 90900.0\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u65b0\u5217\u5305\u542b\u4e0d\u540c\u5355\u4f4d\u7684<strong>start_time<\/strong>\u548c<strong>end_time<\/strong>\u5217\u4e4b\u95f4\u7684\u65f6\u95f4\u5dee\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f8b\u5982\uff0c\u8003\u8651\u7b2c\u4e00\u884c\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u5f00\u59cb\u65f6\u95f4\u548c\u7ed3\u675f\u65f6\u95f4\u76f8\u5dee<strong>24\u5c0f\u65f6<\/strong>\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u5f00\u59cb\u65f6\u95f4\u548c\u7ed3\u675f\u65f6\u95f4\u76f8\u5dee<strong>1440\u5206\u949f<\/strong>\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u5f00\u59cb\u65f6\u95f4\u548c\u7ed3\u675f\u65f6\u95f4\u76f8\u5dee<strong>86,400\u79d2<\/strong>\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u5728\u6b64\u793a\u4f8b\u4e2d\uff0c <strong>start_time<\/strong>\u548c<strong>end_time<\/strong>\u5217\u5df2\u683c\u5f0f\u5316\u4e3a\u65e5\u671f\u65f6\u95f4\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5982\u679c\u60a8\u7684\u65f6\u95f4\u5217\u5f53\u524d\u683c\u5f0f\u4e3a\u5b57\u7b26\u4e32\uff0c\u5219\u53ef\u4ee5\u4f7f\u7528<strong>pd.to_datetime<\/strong>\u9996\u5148\u5c06\u6bcf\u5217\u8f6c\u6362\u4e3a\u65e5\u671f\u65f6\u95f4\u683c\u5f0f\uff0c\u7136\u540e\u518d\u8ba1\u7b97\u65f6\u95f4\u4e4b\u95f4\u7684\u5dee\u5f02\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;\">#convert columns to datetime format\n<\/span>df[[' <span style=\"color: #ff0000;\">start_time<\/span> ', ' <span style=\"color: #ff0000;\">end_time<\/span> ']] = df[[' <span style=\"color: #ff0000;\">start_time<\/span> ', ' <span style=\"color: #ff0000;\">end_time<\/span> ]]. <span style=\"color: #3366ff;\">apply<\/span> (pd. <span style=\"color: #3366ff;\">to_datetime<\/span> )\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7136\u540e\uff0c\u60a8\u53ef\u4ee5\u7ee7\u7eed\u8ba1\u7b97\u5217\u4e4b\u95f4\u7684\u65f6\u95f4\u5dee\uff0c\u56e0\u4e3a\u5b83\u4eec\u73b0\u5728\u90fd\u91c7\u7528 pandas \u53ef\u4ee5\u8bc6\u522b\u7684\u65e5\u671f\u65f6\u95f4\u683c\u5f0f\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\/\u718a\u732b\u65e5\u671f\u8303\u56f4\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Pandas \u4e2d\u521b\u5efa\u65e5\u671f\u8303\u56f4<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u4ece\u65e5\u671f\u4e2d\u63d0\u53d6\u6708\u4efd\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u4ece Pandas \u4e2d\u7684\u65e5\u671f\u4e2d\u63d0\u53d6\u6708\u4efd<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u718a\u732b\u65f6\u95f4\u6233\u65e5\u671f\u65f6\u95f4\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Pandas \u4e2d\u5c06\u65f6\u95f4\u6233\u8f6c\u6362\u4e3a\u65e5\u671f\/\u65f6\u95f4<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u6765\u8ba1\u7b97 pandas DataFrame \u4e2d\u4e24\u4e2a\u65f6\u95f4\u4e4b\u95f4\u7684\u5dee\u5f02\uff1a #calculate ti [&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-3753","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>Pandas\uff1a\u5982\u4f55\u8ba1\u7b97\u4e24\u4e2a\u65f6\u95f4\u4e4b\u95f4\u7684\u5dee\u5f02 - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u4e00\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u8ba1\u7b97 pandas DataFrame \u4e2d\u4e24\u4e2a\u65f6\u95f4\u4e4b\u95f4\u7684\u5dee\u5f02\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\/\u718a\u732b\u65f6\u5dee\/\" 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