{"id":891,"date":"2023-07-28T10:14:08","date_gmt":"2023-07-28T10:14:08","guid":{"rendered":"https:\/\/statorials.org\/tr\/ipteki-pandalar\/"},"modified":"2023-07-28T10:14:08","modified_gmt":"2023-07-28T10:14:08","slug":"ipteki-pandalar","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/ipteki-pandalar\/","title":{"rendered":"Pandas dataframe s\u00fctunlar\u0131n\u0131 dizelere d\u00f6n\u00fc\u015ft\u00fcrme"},"content":{"rendered":"

<\/p>\n

\n

\u00c7o\u011fu zaman bir panda DataFrame’in bir veya daha fazla s\u00fctununu dizelere d\u00f6n\u00fc\u015ft\u00fcrmek isteyebilirsiniz.<\/span> Neyse ki pandalar\u0131n yerle\u015fik astype(str)<\/a> i\u015flevini kullanarak bunu yapmak kolayd\u0131r.<\/span><\/p>\n

Bu e\u011fitimde bu i\u015flevin kullan\u0131m\u0131na ili\u015fkin birka\u00e7 \u00f6rnek g\u00f6sterilmektedir.<\/span><\/p>\n

\u00d6rnek 1: Tek bir DataFrame S\u00fctununu Dizeye D\u00f6n\u00fc\u015ft\u00fcrme<\/strong><\/span><\/h3>\n

A\u015fa\u011f\u0131daki pandalara sahip oldu\u011fumuzu varsayal\u0131m DataFrame:<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd.DataFrame({'player': ['A', 'B', 'C', 'D', 'E'],\n                   'points': [25, 20, 14, 16, 27],\n                   'assists': [5, 7, 7, 8, 11]})\n\n#view DataFrame<\/span> \ndf\n\n        player points assists\n0 to 25 5\n1 B 20 7\n2 C 14 7\n3 D 16 8\n4 E 27 11\n<\/strong><\/pre>\n
 Her s\u00fctunun veri t\u00fcr\u00fcn\u00fc dtypes kullanarak tan\u0131mlayabiliriz:<\/strong><\/span><\/p>\n
 df. dtypes\n\nplayer object\nint64 dots\nassists int64\ndtype:object<\/span><\/span>\n<\/strong><\/pre>\n
 “Oyuncu” s\u00fctununun bir dize oldu\u011funu, di\u011fer iki “puan” ve “pas” s\u00fctununun ise tam say\u0131 oldu\u011funu g\u00f6rebiliriz.<\/span><\/p>\n
 “Noktalar” s\u00fctununu astype(str)<\/strong> kullanarak a\u015fa\u011f\u0131daki gibi bir dizeye d\u00f6n\u00fc\u015ft\u00fcrebiliriz:<\/span><\/p>\n
 df['points'] = df['points'].astype( str<\/span> )\n<\/strong><\/pre>\n
 Bu s\u00fctunun art\u0131k dtypes kullanarak bir dize oldu\u011funu tekrar do\u011frulayabiliriz:<\/strong><\/span><\/p>\n
 df. dtypes<\/span>\n\nplayer object\npoints object\nassists int64\ndtype:object<\/strong><\/span><\/pre>\n
 \u00d6rnek 2: Birden \u00c7ok DataFrame S\u00fctunu Dizelere D\u00f6n\u00fc\u015ft\u00fcrme<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki s\u00f6zdizimini kullanarak hem “puan” hem de “asist” s\u00fctunlar\u0131n\u0131 dizelere d\u00f6n\u00fc\u015ft\u00fcrebiliriz:<\/span><\/p>\n
 df[['points', 'assists']] = df[['points', 'assists']].astype( str<\/span> )<\/strong><\/pre>\n
 Ve yine dtypes kullanarak bunlar\u0131n dize olup olmad\u0131\u011f\u0131n\u0131 kontrol edebiliriz:<\/strong><\/span><\/p>\n
 df. dtypes<\/span>\n\nplayer object\npoints object\nassists object\ndtype:object<\/strong><\/span><\/pre>\n
 \u00d6rnek 3: Bir DataFrame’in Tamam\u0131n\u0131 Dizelere D\u00f6n\u00fc\u015ft\u00fcrme<\/strong><\/span><\/h3>\n
 Son olarak, bir DataFrame’in her s\u00fctununu a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanarak dizelere d\u00f6n\u00fc\u015ft\u00fcrebiliriz:<\/span><\/p>\n
 #convert every column to strings<\/span>\ndf = df.astype(str)<\/span>\n\n#check data type of each column\n<\/span>df. dtypes\nplayer object\npoints object\nassists object\ndtype:object<\/span><\/span><\/span>\n<\/strong><\/pre>\n
 astype() i\u015flevinin tam belgelerini burada<\/a> bulabilirsiniz.<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
\u00c7o\u011fu zaman bir panda DataFrame’in bir veya daha fazla s\u00fctununu dizelere d\u00f6n\u00fc\u015ft\u00fcrmek isteyebilirsiniz. Neyse ki pandalar\u0131n yerle\u015fik astype(str) i\u015flevini kullanarak bunu yapmak kolayd\u0131r. Bu e\u011fitimde bu i\u015flevin kullan\u0131m\u0131na ili\u015fkin birka\u00e7 \u00f6rnek g\u00f6sterilmektedir. \u00d6rnek 1: Tek bir DataFrame S\u00fctununu Dizeye D\u00f6n\u00fc\u015ft\u00fcrme A\u015fa\u011f\u0131daki pandalara sahip oldu\u011fumuzu varsayal\u0131m DataFrame: import pandas as pd #createDataFrame df = pd.DataFrame({‘player’: [‘A’, […]<\/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-891","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nPandas DataFrame s\u00fctunlar\u0131n\u0131 dizelere d\u00f6n\u00fc\u015ft\u00fcrme - Statorials<\/title>\n<meta name=\"description\" content=\"Pandas DataFrame s\u00fctunlar\u0131n\u0131n dizelere nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fclece\u011fine dair basit bir a\u00e7\u0131klama.\" \/>\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\/ipteki-pandalar\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas DataFrame s\u00fctunlar\u0131n\u0131 dizelere d\u00f6n\u00fc\u015ft\u00fcrme - 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