<\/p>\n
Aby doda\u0107 lub odj\u0105\u0107 czas od daty\/godziny w pandach, mo\u017cesz u\u017cy\u0107 nast\u0119puj\u0105cej podstawowej sk\u0142adni:<\/span><\/p>\n Poni\u017cszy przyk\u0142ad pokazuje, jak zastosowa\u0107 t\u0119 sk\u0142adni\u0119 w praktyce.<\/span><\/p>\n Za\u0142\u00f3\u017cmy, \u017ce mamy nast\u0119puj\u0105c\u0105 ramk\u0119 danych pandy, kt\u00f3ra pokazuje sprzeda\u017c dokonan\u0105 przez sklep w 10 r\u00f3\u017cnych datach i godzinach:<\/span><\/p>\n Mo\u017cemy u\u017cy\u0107 funkcji pandas Timedelta<\/strong> , aby doda\u0107 5 godzin, 10 minut i 3 sekundy do ka\u017cdej warto\u015bci typu datetime w kolumnie \u201etime\u201d:<\/span><\/p>\n R\u00f3wnie \u0142atwo mo\u017cemy utworzy\u0107 now\u0105 kolumn\u0119, kt\u00f3ra odejmuje 5 godzin, 10 minut i 3 sekundy od ka\u017cdej warto\u015bci typu datetime w kolumnie \u201etime\u201d:<\/span><\/span><\/p>\n Uwaga nr 1<\/strong> : W tych przyk\u0142adach u\u017cyli\u015bmy okre\u015blonej liczby godzin, minut i sekund, ale je\u015bli chcesz, mo\u017cesz tak\u017ce u\u017cy\u0107 tylko jednej z tych jednostek. Na przyk\u0142ad mo\u017cesz okre\u015bli\u0107 pd.Timedelta(hours=5)<\/strong> , aby po prostu doda\u0107 pi\u0119\u0107 godzin do warto\u015bci typu datetime.<\/span><\/p>\n Uwaga nr 2<\/strong> : Pe\u0142n\u0105 dokumentacj\u0119 funkcji Timedelta<\/strong> pandy mo\u017cna znale\u017a\u0107 tutaj<\/a> .<\/span><\/p>\n Poni\u017csze samouczki wyja\u015bniaj\u0105, jak wykonywa\u0107 inne typowe zadania w pandach:<\/span><\/p>\n Jak przekonwertowa\u0107 Timedelta na Int w Pandach<\/a> Aby doda\u0107 lub odj\u0105\u0107 czas od daty\/godziny w pandach, mo\u017cesz u\u017cy\u0107 nast\u0119puj\u0105cej podstawowej sk\u0142adni: #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 , minutes= […]<\/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":[],"class_list":["post-3740","post","type-post","status-publish","format-standard","hentry","category-przewodnik"],"yoast_head":"\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 Przyk\u0142ad: Dodaj\/odejmij czas do daty i godziny w Pandach<\/strong><\/span><\/h2>\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 #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 #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 Dodatkowe zasoby<\/strong><\/span><\/h2>\n
Jak przekonwertowa\u0107 DateTime na ci\u0105g w Pandach<\/a>
Jak przekonwertowa\u0107 znacznik czasu na dat\u0119\/godzin\u0119 w Pandach<\/a>
Jak utworzy\u0107 kolumn\u0119 daty z roku, miesi\u0105ca i dnia w Pandach<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"