{"id":2466,"date":"2023-07-22T03:49:23","date_gmt":"2023-07-22T03:49:23","guid":{"rendered":"https:\/\/statorials.org\/tr\/pandalar-tarih-saatini-dizeye-donusturur\/"},"modified":"2023-07-22T03:49:23","modified_gmt":"2023-07-22T03:49:23","slug":"pandalar-tarih-saatini-dizeye-donusturur","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/pandalar-tarih-saatini-dizeye-donusturur\/","title":{"rendered":"Pandalarda datetime'\u0131 string'e d\u00f6n\u00fc\u015ft\u00fcrme (\u00f6rneklerle)"},"content":{"rendered":"

<\/p>\n

\n

Pandalarda bir DateTime s\u00fctununu bir dizeye d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n

 df[' column_name<\/span> ']. dt<\/span> . strftime<\/span> (' %Y-%m-%d<\/span> ')\n<\/strong><\/pre>\n
 A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n
 \u00d6rnek: Pandalarda DateTime’\u0131 String’e D\u00f6n\u00fc\u015ft\u00fcrme<\/strong><\/span><\/h3>\n
 Diyelim ki bir ma\u011fazan\u0131n d\u00f6rt farkl\u0131 g\u00fcnde yapt\u0131\u011f\u0131 sat\u0131\u015flar\u0131 g\u00f6steren a\u015fa\u011f\u0131daki pandalar DataFrame’e sahibiz:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' day<\/span> ': pd. to_datetime<\/span> (pd. Series<\/span> (['20210101', '20210105',\n                                                    '20210106', '20210109'])),\n                   ' sales<\/span> ': [1440, 1845, 2484, 2290]})\n\n#view DataFrame\n<\/span>df\n\n\t       day sales\n0 2021-01-01 1440\n1 2021-01-05 1845\n2 2021-01-06 2484\n3 2021-01-09 2290\n<\/span><\/span><\/strong><\/pre>\n
 DataFrame’deki her s\u00fctunun veri t\u00fcr\u00fcn\u00fc g\u00f6r\u00fcnt\u00fclemek i\u00e7in dtypes<\/strong> i\u015flevini kullanabiliriz:<\/span><\/p>\n
 #view data type of each column\ndf. dtypes<\/span>\n\nday datetime64[ns]\ndirty int64\ndtype:object\n<\/span><\/span><\/strong><\/pre>\n
 “G\u00fcn” s\u00fctununun DateTime<\/strong> s\u0131n\u0131f\u0131na sahip oldu\u011funu g\u00f6rebiliriz.<\/span><\/p>\n
 \u201cG\u00fcn\u201d\u00fc bir dizgeye d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n
 #convert 'day' column to string\n<\/span>df[' day<\/span> '] = df[' day<\/span> ']. dt<\/span> . strftime<\/span> (' %Y-%m-%d<\/span> ')\n<\/span>\n#view updated DataFrame\ndf\n\n\t<\/span>day<\/span> sales\n0 2021-01-01 1440\n1 2021-01-05 1845\n2 2021-01-06 2484\n3 2021-01-09 2290\n<\/span><\/span><\/strong><\/pre>\n
 “G\u00fcn” s\u00fctununun art\u0131k bir dize oldu\u011funu do\u011frulamak i\u00e7in dtypes<\/strong> i\u015flevini yeniden kullanabiliriz:<\/span><\/p>\n
 #view data type of each column<\/span>\ndf. dtypes\n\nday object\ndirty int64\ndtype:object<\/span><\/span>\n<\/span><\/span><\/strong><\/pre>\n
 Not<\/strong> : dt.strftime()<\/strong> i\u015flevine ili\u015fkin t\u00fcm belgeleri burada<\/a> bulabilirsiniz.<\/span><\/p>\n
 Ek kaynaklar<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki e\u011fitimlerde Python’da di\u011fer yayg\u0131n d\u00f6n\u00fc\u015f\u00fcmlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n
 Pandalar’da DateTime’\u0131 tarihe nas\u0131l d\u00f6n\u00fc\u015ft\u00fcrebilirim?<\/a>
 Pandalar’da s\u00fctunlar\u0131 DateTime’a d\u00f6n\u00fc\u015ft\u00fcrme<\/a>
 Pandalar’da zaman damgas\u0131n\u0131 tarih\/saat’e d\u00f6n\u00fc\u015ft\u00fcrme<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Pandalarda bir DateTime s\u00fctununu bir dizeye d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz: df[‘ column_name ‘]. dt . strftime (‘ %Y-%m-%d ‘) A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir. \u00d6rnek: Pandalarda DateTime’\u0131 String’e D\u00f6n\u00fc\u015ft\u00fcrme Diyelim ki bir ma\u011fazan\u0131n d\u00f6rt farkl\u0131 g\u00fcnde yapt\u0131\u011f\u0131 sat\u0131\u015flar\u0131 g\u00f6steren a\u015fa\u011f\u0131daki pandalar DataFrame’e sahibiz: import pandas as pd #createDataFrame df = […]<\/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-2466","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nPandalarda DateTime'\u0131 String'e D\u00f6n\u00fc\u015ft\u00fcrme (\u00d6rneklerle) - 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