{"id":3748,"date":"2023-07-15T18:25:35","date_gmt":"2023-07-15T18:25:35","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%ae%e6%99%82%e5%b7%ae\/"},"modified":"2023-07-15T18:25:35","modified_gmt":"2023-07-15T18:25:35","slug":"%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%ae%e6%99%82%e5%b7%ae","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%ae%e6%99%82%e5%b7%ae\/","title":{"rendered":"\u30d1\u30f3\u30c0: 2 \u3064\u306e\u6642\u9593\u306e\u5dee\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001pandas DataFrame \u306e 2 \u3064\u306e\u6642\u9593\u306e\u5dee\u3092\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002<\/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;\">\u3053\u306e\u7279\u5b9a\u306e\u4f8b\u3067\u306f\u3001\u4e00\u90e8\u306e Pandas DataFrame \u306e<strong>end_time \u5217<\/strong>\u3068<strong>start_time<\/strong>\u5217\u306e\u6642\u9593\u306e\u5dee\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u3053\u306e\u69cb\u6587\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u4f8b: pandas \u3067\u306e 2 \u3064\u306e\u6642\u9593\u306e\u5dee\u306e\u8a08\u7b97<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30d1\u30f3\u30c0 \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u304c\u3042\u308b\u3068\u3057\u307e\u3059\u3002<\/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;\">\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001 <strong>start_time \u5217<\/strong>\u3068<strong>end_time<\/strong>\u5217\u306e\u9593\u306e\u6642\u9593\u5dee\u3092\u6642\u3001\u5206\u3001\u79d2\u306e\u5358\u4f4d\u3067\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002<\/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\u3057\u3044\u5217\u306b\u306f\u3001 <strong>start_time \u5217<\/strong>\u3068<strong>end_time<\/strong>\u5217\u9593\u306e\u6642\u9593\u5dee\u304c\u7570\u306a\u308b\u5358\u4f4d\u3067\u542b\u307e\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u305f\u3068\u3048\u3070\u3001\u6700\u521d\u306e\u884c\u3092\u8003\u3048\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u958b\u59cb\u6642\u523b\u3068\u7d42\u4e86\u6642\u523b\u306e\u5dee\u306f<strong>24 \u6642\u9593<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u958b\u59cb\u6642\u523b\u3068\u7d42\u4e86\u6642\u523b\u306e\u5dee\u306f<strong>1440 \u5206<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u958b\u59cb\u6642\u523b\u3068\u7d42\u4e86\u6642\u523b\u306e\u5dee\u306f<strong>86,400 \u79d2<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u3053\u306e\u4f8b\u3067\u306f\u3001 <strong>start_time \u5217<\/strong>\u3068<strong>end_time<\/strong>\u5217\u304c\u3059\u3067\u306b datetime \u3068\u3057\u3066\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u3055\u308c\u3066\u3044\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6642\u523b\u5217\u304c\u73fe\u5728\u6587\u5b57\u5217\u3068\u3057\u3066\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u3055\u308c\u3066\u3044\u308b\u5834\u5408\u306f\u3001\u6642\u523b\u306e\u5dee\u3092\u8a08\u7b97\u3059\u308b\u524d\u306b\u3001 <strong>pd.to_datetime<\/strong>\u3092\u4f7f\u7528\u3057\u3066\u307e\u305a\u5404\u5217\u3092\u65e5\u6642\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u306b\u5909\u63db\u3067\u304d\u307e\u3059\u3002<\/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;\">\u305d\u306e\u5f8c\u3001\u4e21\u65b9\u306e\u5217\u304c\u30d1\u30f3\u30c0\u304c\u8a8d\u8b58\u3067\u304d\u308b\u65e5\u6642\u5f62\u5f0f\u306b\u306a\u3063\u3066\u3044\u308b\u305f\u3081\u3001\u5217\u9593\u306e\u6642\u9593\u5dee\u306e\u8a08\u7b97\u306b\u9032\u3080\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001\u30d1\u30f3\u30c0\u3067\u4ed6\u306e\u4e00\u822c\u7684\u306a\u64cd\u4f5c\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u306e\u65e5\u4ed8\u7bc4\u56f2\/\" target=\"_blank\" rel=\"noopener\">Pandas \u3067\u65e5\u4ed8\u7bc4\u56f2\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u306f\u65e5\u4ed8\u304b\u3089\u6708\u3092\u62bd\u51fa\u3057\u307e\u3059\/\" target=\"_blank\" rel=\"noopener\">Pandas\u3067\u65e5\u4ed8\u304b\u3089\u6708\u3092\u62bd\u51fa\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u306e\u30bf\u30a4\u30e0\u30b9\u30bf\u30f3\u30d5\u309a\u306e\u65e5\u4ed8\u6642\u523b\/\" target=\"_blank\" rel=\"noopener\">Pandas\u3067\u30bf\u30a4\u30e0\u30b9\u30bf\u30f3\u30d7\u3092\u65e5\u4ed8\/\u6642\u523b\u306b\u5909\u63db\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001pandas DataFrame \u306e 2 \u3064\u306e\u6642\u9593\u306e\u5dee\u3092\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002 #calculate time difference in hours df[&#8216; hours_diff &#8216;] = (df. en [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-3748","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u30d1\u30f3\u30c0: 2 \u3064\u306e\u6642\u9593\u306e\u5dee\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5 - Statorials<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001pandas DataFrame \u3067 2 \u3064\u306e\u6642\u523b\u306e\u5dee\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u4f8b\u3092\u6319\u3052\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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