{"id":4211,"date":"2023-07-12T19:54:48","date_gmt":"2023-07-12T19:54:48","guid":{"rendered":"https:\/\/statorials.org\/tr\/pandalar-epochu-tarih-saatine-donusturur\/"},"modified":"2023-07-12T19:54:48","modified_gmt":"2023-07-12T19:54:48","slug":"pandalar-epochu-tarih-saatine-donusturur","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/pandalar-epochu-tarih-saatine-donusturur\/","title":{"rendered":"Pandalar: \u00e7a\u011f\u0131 tarih\/saat'e d\u00f6n\u00fc\u015ft\u00fcrme"},"content":{"rendered":"

<\/p>\n

\n

Pandalarda saati tan\u0131nabilir bir tarih\/saate d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n

 df[' date_column<\/span> '] = pd. to_datetime<\/span> (df[' date_column<\/span> '], unit=' s<\/span> ')\n<\/strong><\/pre>\n
 \u00d6rne\u011fin, bu s\u00f6zdizimi 1655439422<\/strong> Epoch zaman\u0131n\u0131 2022-06-17 04:17:02<\/strong> pandas tarih saatine d\u00f6n\u00fc\u015ft\u00fcrecektir.<\/span><\/p>\n
 Bu bi\u00e7im, uzun bir say\u0131 dizisinden ziyade tarih ve saat olarak daha tan\u0131nabilir.<\/span><\/p>\n
 A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n
 \u00d6rnek: Pandalar’da d\u00f6nemi tarih ve saate d\u00f6n\u00fc\u015ft\u00fcrme<\/strong><\/span><\/h2>\n
 Belirli \u00fcr\u00fcnlerin belirli tarih ve saatlerde toplam sat\u0131\u015flar\u0131 hakk\u0131nda bilgi i\u00e7eren a\u015fa\u011f\u0131daki panda Veri \u00c7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' date<\/span> ': ['1655439422', '1655638422', '1664799422',\n                            '1668439411', '1669939422', '1669993948'],\n                   ' sales<\/span> ': [120, 150, 224, 290, 340, 184]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n         dirty dates\n0 1655439422 120\n1 1655638422 150\n2 1664799422 224\n3 1668439411 290\n4 1669939422 340\n5 1669993948 184<\/strong><\/pre>\n
 \u015eu anda tarih<\/b> s\u00fctunu de\u011ferleri \u00e7a\u011f zamanlar\u0131na g\u00f6re bi\u00e7imlendirilmi\u015ftir.<\/span><\/p>\n
 Epoch zamanlar\u0131n\u0131 pandalar\u0131n tarihsaat bi\u00e7imine d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n
 #convert values in date column from epoch to datetime<\/span>\ndf[' date<\/span> '] = pd. to_datetime<\/span> (df[' date<\/span> '], unit=' s<\/span> ')\n\n#view updated DataFrame<\/span>\nprint<\/span> (df)\n\n                 dirty date\n0 2022-06-17 04:17:02 120\n1 2022-06-19 11:33:42 150\n2 2022-10-03 12:17:02 224\n3 2022-11-14 15:23:31 290\n4 2022-12-02 00:03:42 340\n5 2022-12-02 15:12:28 184\n<\/strong><\/pre>\n
 Tarih<\/strong> s\u00fctunundaki de\u011ferlerin art\u0131k tan\u0131nabilir tarih ve saatler oldu\u011funu unutmay\u0131n.<\/span><\/p>\n
 \u00c7o\u011fu zaman\u0131n 1\/1\/1970 tarihinden bu yana saniye say\u0131s\u0131 olarak sakland\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n
 to_datetime()<\/strong> i\u015flevinde Unit=’s’<\/strong> arg\u00fcman\u0131n\u0131 kullanarak, pandalara 1\/1\/1970’den bu yana ge\u00e7en saniye say\u0131s\u0131n\u0131 hesaplayarak d\u00f6nemi bir tarih saatine d\u00f6n\u00fc\u015ft\u00fcrmelerini a\u00e7\u0131k\u00e7a s\u00f6yleriz.<\/span><\/p>\n
 Not<\/strong> : Pandas to_datetime()<\/strong> i\u015flevinin tam belgelerini burada<\/a> bulabilirsiniz.<\/span><\/span><\/p>\n
 Ek kaynaklar<\/strong><\/span><\/h2>\n
 A\u015fa\u011f\u0131daki e\u011fitimlerde pandalarda di\u011fer ortak g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n
 Pandalar’da zaman damgas\u0131n\u0131 tarih\/saat’e d\u00f6n\u00fc\u015ft\u00fcrme<\/a>
 Pandalar’da DateTime’\u0131 tarihe nas\u0131l d\u00f6n\u00fc\u015ft\u00fcrebilirim?<\/a>
 Pandalar’da DateTime’\u0131 dizeye d\u00f6n\u00fc\u015ft\u00fcrme<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Pandalarda saati tan\u0131nabilir bir tarih\/saate d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz: df[‘ date_column ‘] = pd. to_datetime (df[‘ date_column ‘], unit=’ s ‘) \u00d6rne\u011fin, bu s\u00f6zdizimi 1655439422 Epoch zaman\u0131n\u0131 2022-06-17 04:17:02 pandas tarih saatine d\u00f6n\u00fc\u015ft\u00fcrecektir. Bu bi\u00e7im, uzun bir say\u0131 dizisinden ziyade tarih ve saat olarak daha tan\u0131nabilir. A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 […]<\/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-4211","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nPandalar: Bir d\u00f6nemi DateTime'a d\u00f6n\u00fc\u015ft\u00fcrme \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde, bir \u00f6rnek de dahil olmak \u00fczere, pandalarda d\u00f6nem saatinin tarih\/saat'e nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fclece\u011fi a\u00e7\u0131klanmaktad\u0131r.\" \/>\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\/tr\/pandalar-epochu-tarih-saatine-donusturur\/\" 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