<\/p>\n
Pandalarda bir tarihe g\u00fcn eklemek ve tarih \u00e7\u0131karmak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz:<\/span><\/p>\n Y\u00f6ntem 1: Bu g\u00fcne g\u00fcn ekleyin<\/strong><\/span><\/p>\n Y\u00f6ntem 2: g\u00fcnleri tarihten \u00e7\u0131kar\u0131n<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, her y\u00f6ntemin pratikte a\u015fa\u011f\u0131daki pandalar DataFrame ile nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, tarih<\/strong> s\u00fctunu de\u011ferine be\u015f g\u00fcn ekleyen yeni bir s\u00fctunun nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Yeni date_plus_five<\/strong> s\u00fctunu, tarih<\/strong> s\u00fctunundaki de\u011ferleri, her de\u011fere be\u015f g\u00fcn eklenerek temsil eder.<\/span><\/p>\n Yeni s\u00fctunun ger\u00e7ekten bir tarihsaat s\u00fctunu oldu\u011funu do\u011frulamak i\u00e7in dtypes<\/strong> i\u015flevini de kullanabiliriz:<\/span><\/p>\n Date<\/strong> ve date_plus_five<\/strong> s\u00fctunlar\u0131 tarihsaat bi\u00e7imleri olarak tan\u0131n\u0131r.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, tarih<\/strong> s\u00fctunu de\u011ferinden be\u015f g\u00fcn \u00e7\u0131karan yeni bir s\u00fctunun nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Yeni date_minus_five<\/strong> s\u00fctunu, her de\u011ferden be\u015f g\u00fcn \u00e7\u0131kar\u0131larak tarih<\/strong> s\u00fctununun de\u011ferlerini temsil eder.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde pandalarda di\u011fer yayg\u0131n i\u015flemlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Pandalar’da s\u00fctunlar\u0131 DateTime’a d\u00f6n\u00fc\u015ft\u00fcrme<\/a> Pandalarda bir tarihe g\u00fcn eklemek ve tarih \u00e7\u0131karmak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz: Y\u00f6ntem 1: Bu g\u00fcne g\u00fcn ekleyin df[‘ date_column ‘] + pd. Timedelta (days= 5 ) Y\u00f6ntem 2: g\u00fcnleri tarihten \u00e7\u0131kar\u0131n df[‘ date_column ‘] – pd. Timedelta (days= 5 ) A\u015fa\u011f\u0131daki \u00f6rnekler, her y\u00f6ntemin pratikte a\u015fa\u011f\u0131daki pandalar DataFrame ile nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir: import pandas […]<\/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-3656","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df['<\/span><\/span> date_column<\/span> '] + pd. Timedelta<\/span> (days= 5<\/span> )\n<\/span><\/span><\/strong><\/pre>\n df['<\/span> date_column<\/span> '] - pd. Timedelta<\/span> (days= 5<\/span> )<\/span>\n<\/span><\/strong><\/pre>\n import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' date<\/span> ': ['2022-10-01', '2022-10-23', '2022-10-30', '2022-11-05'],\n ' sales<\/span> ': [450, 567, 612, 701]})\n\n#convert date column to datetime\n<\/span>df[' date<\/span> '] = pd. to_datetime<\/span> (df[' date<\/span> '])\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n dirty dates\n0 2022-10-01 450\n1 2022-10-23 567\n2 2022-10-30 612\n3 2022-11-05 701<\/strong><\/span><\/pre>\n \u00d6rnek 1: Pandalar’da bu g\u00fcne g\u00fcn ekleme<\/strong><\/span><\/h2>\n
#create new column that adds 5 days to value in date column\n<\/span>df[' date_plus_five<\/span> '] = df[' date<\/span> '] + pd. Timedelta<\/span> (days= 5<\/span> )\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n date sales date_plus_five\n0 2022-10-01 450 2022-10-06\n1 2022-10-23 567 2022-10-28\n2 2022-10-30 612 2022-11-04\n3 2022-11-05 701 2022-11-10\n<\/span><\/span><\/strong><\/pre>\n #check data type of each column\n<\/span>df. dtypes<\/span>\n\ndate datetime64[ns]\ndirty int64\ndate_plus_five datetime64[ns]\ndtype:object\n<\/span><\/span><\/strong><\/pre>\n \u00d6rnek 2: Pandalarda tarihten g\u00fcnleri \u00e7\u0131kar\u0131n<\/strong><\/span><\/h2>\n
#create new column that subtracts five days from date\n<\/span>df[' date_minus_five<\/span> '] = df[' date<\/span> '] - pd. Timedelta<\/span> (days= 5<\/span> )\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n date sales date_minus_five\n0 2022-10-01 450 2022-09-26\n1 2022-10-23 567 2022-10-18\n2 2022-10-30 612 2022-10-25\n3 2022-11-05 701 2022-10-31\n<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Pandalar’da DateTime’\u0131 tarihe nas\u0131l d\u00f6n\u00fc\u015ft\u00fcrebilirim?<\/a>
Pandalar’da tarihten ay nas\u0131l \u00e7\u0131kar\u0131l\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"