{"id":3738,"date":"2023-07-15T20:00:36","date_gmt":"2023-07-15T20:00:36","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b4%d0%be%d0%b4%d0%b0%d1%82%d0%b8-%d0%b2%d1%96%d0%b4%d0%bd%d1%8f%d1%82%d0%b8-%d1%87%d0%b0%d1%81-%d0%b4%d0%b0%d1%82%d0%b0-%d1%87%d0%b0%d1%81\/"},"modified":"2023-07-15T20:00:36","modified_gmt":"2023-07-15T20:00:36","slug":"%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b4%d0%be%d0%b4%d0%b0%d1%82%d0%b8-%d0%b2%d1%96%d0%b4%d0%bd%d1%8f%d1%82%d0%b8-%d1%87%d0%b0%d1%81-%d0%b4%d0%b0%d1%82%d0%b0-%d1%87%d0%b0%d1%81","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d0%bf%d0%b0%d0%bd%d0%b4%d0%b8-%d0%b4%d0%be%d0%b4%d0%b0%d1%82%d0%b8-%d0%b2%d1%96%d0%b4%d0%bd%d1%8f%d1%82%d0%b8-%d1%87%d0%b0%d1%81-%d0%b4%d0%b0%d1%82%d0%b0-%d1%87%d0%b0%d1%81\/","title":{"rendered":"Pandas: \u044f\u043a \u0434\u043e\u0434\u0430\u0442\u0438\/\u0432\u0456\u0434\u043d\u044f\u0442\u0438 \u0447\u0430\u0441 \u0434\u043e datetime"},"content":{"rendered":"

<\/p>\n

\n

\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0442\u0430\u043a\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441, \u0449\u043e\u0431 \u0434\u043e\u0434\u0430\u0442\u0438 \u0430\u0431\u043e \u0432\u0456\u0434\u043d\u044f\u0442\u0438 \u0447\u0430\u0441 \u0432\u0456\u0434 \u0434\u0430\u0442\u0438\/\u0447\u0430\u0441\u0443 \u0432 pandas:<\/span><\/p>\n

 #add time to datetime<\/span>\ndf[' new_datetime<\/span> '] = df[' my_datetime<\/span> '] + pd. Timedelta<\/span> (hours= 5<\/span> , minutes= 10<\/span> , seconds= 3<\/span> )\n\n#subtract time from datetime<\/span>\ndf[' new_datetime<\/span> '] = df[' my_datetime<\/span> '] - pd. Timedelta<\/span> (hours= 5<\/span> , minutes= 10<\/span> , seconds= 3<\/span> ) \n<\/strong><\/pre>\n
 \u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0446\u0435\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456.<\/span><\/p>\n
 \u041f\u0440\u0438\u043a\u043b\u0430\u0434: \u0414\u043e\u0434\u0430\u0432\u0430\u043d\u043d\u044f\/\u0432\u0456\u0434\u043d\u0456\u043c\u0430\u043d\u043d\u044f \u0447\u0430\u0441\u0443 \u0434\u043e Datetime \u0443 Pandas<\/strong><\/span><\/h2>\n
 \u0421\u043a\u0430\u0436\u0456\u043c\u043e, \u0443 \u043d\u0430\u0441 \u0454 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 pandas DataFrame, \u044f\u043a\u0438\u0439 \u043f\u043e\u043a\u0430\u0437\u0443\u0454 \u043f\u0440\u043e\u0434\u0430\u0436\u0456, \u0437\u0434\u0456\u0439\u0441\u043d\u0435\u043d\u0456 \u043c\u0430\u0433\u0430\u0437\u0438\u043d\u043e\u043c \u0443 10 \u0440\u0456\u0437\u043d\u0438\u0445 \u0434\u0430\u0442 \u0456 \u0447\u0430\u0441\u0443:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' time<\/span> ': pd.date_range<\/span> (' 2022-01-01<\/span> ', periods= 10<\/span> ),\n                   ' sales<\/span> ': [14, 22, 25, 29, 31, 10, 12, 8, 22, 25]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n        time sales\n0 2022-01-01 14\n1 2022-01-02 22\n2 2022-01-03 25\n3 2022-01-04 29\n4 2022-01-05 31\n5 2022-01-06 10\n6 2022-01-07 12\n7 2022-01-08 8\n8 2022-01-09 22\n9 2022-01-10 25<\/span><\/span><\/strong><\/pre>\n
 \u041c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e pandas Timedelta<\/strong> , \u0449\u043e\u0431 \u0434\u043e\u0434\u0430\u0442\u0438 5 \u0433\u043e\u0434\u0438\u043d, 10 \u0445\u0432\u0438\u043b\u0438\u043d \u0456 3 \u0441\u0435\u043a\u0443\u043d\u0434\u0438 \u0434\u043e \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0434\u0430\u0442\u0438 \u0439 \u0447\u0430\u0441\u0443 \u0432 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 \u00ab\u0447\u0430\u0441\u00bb:<\/span><\/p>\n
 #create new column that contains time + 5 hours, 10 minutes, 3 seconds\n<\/span>df[' time_plus_some<\/span> '] = df[' time<\/span> '] + pd. Timedelta<\/span> (hours= 5<\/span> , minutes= 10<\/span> , seconds= 3<\/span> )\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n        time sales time_plus_some\n0 2022-01-01 14 2022-01-01 05:10:03\n1 2022-01-02 22 2022-01-02 05:10:03\n2 2022-01-03 25 2022-01-03 05:10:03\n3 2022-01-04 29 2022-01-04 05:10:03\n4 2022-01-05 31 2022-01-05 05:10:03\n5 2022-01-06 10 2022-01-06 05:10:03\n6 2022-01-07 12 2022-01-07 05:10:03\n7 2022-01-08 8 2022-01-08 05:10:03\n8 2022-01-09 22 2022-01-09 05:10:03\n9 2022-01-10 25 2022-01-10 05:10:03<\/span><\/span><\/strong><\/pre>\n
 \u0406 \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0442\u0430\u043a \u0441\u0430\u043c\u043e \u043b\u0435\u0433\u043a\u043e \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043d\u043e\u0432\u0438\u0439 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c, \u044f\u043a\u0438\u0439 \u0432\u0456\u0434\u043d\u0456\u043c\u0430\u0454 5 \u0433\u043e\u0434\u0438\u043d, 10 \u0445\u0432\u0438\u043b\u0438\u043d \u0456 3 \u0441\u0435\u043a\u0443\u043d\u0434\u0438 \u0432\u0456\u0434 \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0434\u0430\u0442\u0438 \u0439 \u0447\u0430\u0441\u0443 \u0432 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 \u00ab\u0447\u0430\u0441\u00bb:<\/span><\/span><\/p>\n
 #create new column that contains time - 5 hours, 10 minutes, 3 seconds\n<\/span>df[' time_minus_some<\/span> '] = df[' time<\/span> '] - pd. Timedelta<\/span> (hours= 5<\/span> , minutes= 10<\/span> , seconds= 3<\/span> )\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n        time sales time_minus_some\n0 2022-01-01 14 2021-12-31 18:49:57\n1 2022-01-02 22 2022-01-01 18:49:57\n2 2022-01-03 25 2022-01-02 18:49:57\n3 2022-01-04 29 2022-01-03 18:49:57\n4 2022-01-05 31 2022-01-04 18:49:57\n5 2022-01-06 10 2022-01-05 18:49:57\n6 2022-01-07 12 2022-01-06 18:49:57\n7 2022-01-08 8 2022-01-07 18:49:57\n8 2022-01-09 22 2022-01-08 18:49:57\n9 2022-01-10 25 2022-01-09 18:49:57\n<\/span><\/span><\/strong><\/pre>\n
 \u041f\u0440\u0438\u043c\u0456\u0442\u043a\u0430 \u21161<\/strong> : \u0443 \u0446\u0438\u0445 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u0445 \u043c\u0438 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u043b\u0438 \u043f\u0435\u0432\u043d\u0443 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0433\u043e\u0434\u0438\u043d, \u0445\u0432\u0438\u043b\u0438\u043d \u0456 \u0441\u0435\u043a\u0443\u043d\u0434, \u0430\u043b\u0435 \u0432\u0438 \u0442\u0430\u043a\u043e\u0436 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043b\u0438\u0448\u0435 \u043e\u0434\u043d\u0443 \u0437 \u0446\u0438\u0445 \u043e\u0434\u0438\u043d\u0438\u0446\u044c, \u044f\u043a\u0449\u043e \u0445\u043e\u0447\u0435\u0442\u0435. \u041d\u0430\u043f\u0440\u0438\u043a\u043b\u0430\u0434, \u0432\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u043a\u0430\u0437\u0430\u0442\u0438 pd.Timedelta(hours=5)<\/strong> , \u0449\u043e\u0431 \u043f\u0440\u043e\u0441\u0442\u043e \u0434\u043e\u0434\u0430\u0442\u0438 \u043f\u2019\u044f\u0442\u044c \u0433\u043e\u0434\u0438\u043d \u0434\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0434\u0430\u0442\u0438 \u0439 \u0447\u0430\u0441\u0443.<\/span><\/p>\n
 \u041f\u0440\u0438\u043c\u0456\u0442\u043a\u0430 \u21162<\/strong> : \u0432\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0437\u043d\u0430\u0439\u0442\u0438 \u043f\u043e\u0432\u043d\u0443 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0456\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0457 pandas Timedelta<\/strong> \u0442\u0443\u0442<\/a> .<\/span><\/p>\n
 \u0414\u043e\u0434\u0430\u0442\u043a\u043e\u0432\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438<\/strong><\/span><\/h2>\n
 \u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0445 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a\u0430\u0445 \u043f\u043e\u044f\u0441\u043d\u044e\u0454\u0442\u044c\u0441\u044f, \u044f\u043a \u0432\u0438\u043a\u043e\u043d\u0443\u0432\u0430\u0442\u0438 \u0456\u043d\u0448\u0456 \u0442\u0438\u043f\u043e\u0432\u0456 \u0437\u0430\u0432\u0434\u0430\u043d\u043d\u044f \u0432 pandas:<\/span><\/p>\n
 \u042f\u043a \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 Timedelta \u0432 Int \u0443 Pandas<\/a>
 \u042f\u043a \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 DateTime \u043d\u0430 \u0440\u044f\u0434\u043e\u043a \u0443 Pandas<\/a>
 \u042f\u043a \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043f\u043e\u0437\u043d\u0430\u0447\u043a\u0443 \u0447\u0430\u0441\u0443 \u0432 \u0434\u0430\u0442\u0443\/\u0447\u0430\u0441 \u0443 Pandas<\/a>
 \u042f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u0434\u0430\u0442\u0438 \u0437 \u0440\u043e\u043a\u0443, \u043c\u0456\u0441\u044f\u0446\u044f \u0442\u0430 \u0434\u043d\u044f \u0432 Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0442\u0430\u043a\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441, \u0449\u043e\u0431 \u0434\u043e\u0434\u0430\u0442\u0438 \u0430\u0431\u043e \u0432\u0456\u0434\u043d\u044f\u0442\u0438 \u0447\u0430\u0441 \u0432\u0456\u0434 \u0434\u0430\u0442\u0438\/\u0447\u0430\u0441\u0443 \u0432 pandas: #add time to datetime df[‘ new_datetime ‘] = df[‘ my_datetime ‘] + pd. Timedelta (hours= 5 , minutes= 10 , seconds= 3 ) #subtract time from datetime df[‘ new_datetime ‘] = df[‘ my_datetime ‘] – pd. Timedelta (hours= 5 , […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"\nPandas: \u042f\u043a \u0434\u043e\u0434\u0430\u0442\u0438\/\u0432\u0456\u0434\u043d\u044f\u0442\u0438 \u0447\u0430\u0441 \u0434\u043e Datetime - Statorials<\/title>\n<meta name=\"description\" content=\"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u0434\u043e\u0434\u0430\u0432\u0430\u0442\u0438 \u0442\u0430 \u0432\u0456\u0434\u043d\u0456\u043c\u0430\u0442\u0438 \u0447\u0430\u0441 \u0432\u0456\u0434 \u0434\u0430\u0442\u0438\/\u0447\u0430\u0441\u0443 \u0432 Pandas \u0456\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u043e\u043c.\" \/>\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\/uk\/\u043f\u0430\u043d\u0434\u0438-\u0434\u043e\u0434\u0430\u0442\u0438-\u0432\u0456\u0434\u043d\u044f\u0442\u0438-\u0447\u0430\u0441-\u0434\u0430\u0442\u0430-\u0447\u0430\u0441\/\" \/>\n<meta property=\"og:locale\" content=\"uk_UA\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: \u042f\u043a \u0434\u043e\u0434\u0430\u0442\u0438\/\u0432\u0456\u0434\u043d\u044f\u0442\u0438 \u0447\u0430\u0441 \u0434\u043e Datetime - Statorials\" \/>\n<meta property=\"og:description\" content=\"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u0434\u043e\u0434\u0430\u0432\u0430\u0442\u0438 \u0442\u0430 \u0432\u0456\u0434\u043d\u0456\u043c\u0430\u0442\u0438 \u0447\u0430\u0441 \u0432\u0456\u0434 \u0434\u0430\u0442\u0438\/\u0447\u0430\u0441\u0443 \u0432 Pandas \u0456\u0437 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