{"id":2425,"date":"2023-07-22T08:13:24","date_gmt":"2023-07-22T08:13:24","guid":{"rendered":"https:\/\/statorials.org\/tr\/pandalar-tsvyi-okuyor\/"},"modified":"2023-07-22T08:13:24","modified_gmt":"2023-07-22T08:13:24","slug":"pandalar-tsvyi-okuyor","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/pandalar-tsvyi-okuyor\/","title":{"rendered":"Pandalarla tsv dosyas\u0131 nas\u0131l okunur (\u00f6rnekler dahil)"},"content":{"rendered":"

<\/p>\n

\n

Python’da pandalar\u0131 i\u00e7eren bir TSV dosyas\u0131n\u0131 okumak i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n

 df = pd. read_csv<\/span> (\" data.txt<\/span> \", sep=\" \\t<\/span> \")\n<\/strong><\/pre>\n
 Bu e\u011fitimde bu i\u015flevin pratik kullan\u0131m\u0131na ili\u015fkin \u00e7e\u015fitli \u00f6rnekler verilmektedir.<\/span><\/p>\n
 Ba\u015fl\u0131\u011f\u0131 olan bir TSV dosyas\u0131n\u0131 okuyun<\/strong><\/span><\/h3>\n
 \u00dcstbilgisi olan data.txt<\/strong> ad\u0131nda a\u015fa\u011f\u0131daki TSV dosyam\u0131z\u0131n oldu\u011funu varsayal\u0131m:<\/span> <\/p>\n
\"\"<\/p>\n
 Bu dosyay\u0131 bir pandan\u0131n DataFrame’ine okumak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\n\n#read TSV file into pandas DataFrame<\/span>\ndf = pd. read_csv<\/span> (\" data.txt<\/span> \", sep=\" \\t<\/span> \")\n\n#view DataFrame<\/span>\nprint<\/span> (df)\n\n\tcolumn1 column2\n0 1 4\n1 3 4\n2 2 5\n3 7 9\n4 9 1\n5 6 3\n6 5 7\n7 8 8\n8 3 1\n9 4 9\n<\/strong><\/pre>\n
 A\u015fa\u011f\u0131daki s\u00f6zdizimini kullanarak DataFrame s\u0131n\u0131f\u0131n\u0131 yazd\u0131rabilir ve sat\u0131r ve s\u00fctun say\u0131s\u0131n\u0131 bulabiliriz:<\/span><\/p>\n
 #display class of DataFrame\n<\/span>print<\/span> (type(df))\n\n<class 'pandas.core.frame.DataFrame'>\n\n#display number of rows and columns in DataFrame\ndf. shape<\/span><\/span>\n\n(10, 2)\n<\/span><\/span><\/strong><\/pre>\n
 Df’nin<\/strong> 10 sat\u0131r ve 2 s\u00fctunlu bir pandas DataFrame oldu\u011funu g\u00f6rebiliriz.<\/span><\/p>\n
 Ba\u015fl\u0131ks\u0131z bir TSV dosyas\u0131n\u0131 okuyun<\/strong><\/span><\/h3>\n
 Diyelim ki, ba\u015fl\u0131ks\u0131z data.txt<\/strong> ad\u0131nda a\u015fa\u011f\u0131daki TSV dosyam\u0131z var:<\/span> <\/p>\n
\"\"<\/p>\n
 Bu dosyay\u0131 bir pandan\u0131n DataFrame’ine okumak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n
 #read TSV file into pandas DataFrame<\/span>\ndf = pd. read_csv<\/span> (\" data.txt<\/span> \", sep=\" \\t<\/span> \", header= None<\/span> )\n\n#view DataFrame<\/span>\nprint<\/span> (df)\n\n        0 1\n0 1 4\n1 3 4\n2 2 5\n3 7 9\n4 9 1\n5 6 3\n6 5 7\n7 8 8\n8 3 1\n9 4 9\n<\/strong><\/pre>\n
 Metin dosyas\u0131n\u0131n ba\u015fl\u0131\u011f\u0131 olmad\u0131\u011f\u0131ndan pandalar s\u00fctunlara basit\u00e7e 0<\/strong> ve 1<\/strong> ad\u0131n\u0131 verdiler.<\/span><\/p>\n
 TSV dosyas\u0131n\u0131 ba\u015fl\u0131ks\u0131z okuyun ve s\u00fctun adlar\u0131n\u0131 belirtin<\/strong><\/span><\/h3>\n
 \u0130stersek, metin dosyas\u0131n\u0131 i\u00e7e aktar\u0131rken names<\/strong> arg\u00fcman\u0131n\u0131 kullanarak s\u00fctun adlar\u0131 atayabiliriz:<\/span><\/p>\n
 #read TSV file into pandas DataFrame and specify column names<\/span>\ndf = pd. read_csv<\/span> (\" data.txt<\/span> \", sep=\" \\t<\/span> \", header= None, names=[\"<\/span> A \", \"<\/span> B \"]<\/span><\/span> )\n\n#display DataFrame\n<\/span>print<\/span> (df)\n\n\tA B\n0 1 4\n1 3 4\n2 2 5\n3 7 9\n4 9 1\n5 6 3\n6 5 7\n7 8 8\n8 3 1\n9 4 9\n<\/strong><\/pre>\n
 Ek kaynaklar<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki e\u011fitimlerde di\u011fer dosya t\u00fcrlerinin pandalarla nas\u0131l okunaca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n
 Pandalar ile bir metin dosyas\u0131 nas\u0131l okunur<\/a>
Pandalar ile CSV dosyalar\u0131 nas\u0131l okunur<\/a>
 Pandalar ile Excel dosyalar\u0131 nas\u0131l okunur<\/a>
 Pandalar ile bir JSON dosyas\u0131 nas\u0131l okunur<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Python’da pandalar\u0131 i\u00e7eren bir TSV dosyas\u0131n\u0131 okumak i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz: df = pd. read_csv (” data.txt “, sep=” \\t “) Bu e\u011fitimde bu i\u015flevin pratik kullan\u0131m\u0131na ili\u015fkin \u00e7e\u015fitli \u00f6rnekler verilmektedir. Ba\u015fl\u0131\u011f\u0131 olan bir TSV dosyas\u0131n\u0131 okuyun \u00dcstbilgisi olan data.txt ad\u0131nda a\u015fa\u011f\u0131daki TSV dosyam\u0131z\u0131n oldu\u011funu varsayal\u0131m: Bu dosyay\u0131 bir pandan\u0131n DataFrame’ine okumak i\u00e7in a\u015fa\u011f\u0131daki […]<\/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-2425","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nPandalarla TSV dosyas\u0131 nas\u0131l okunur (\u00f6rnekler dahil) \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde Python'da pandalarla TSV dosyalar\u0131n\u0131n nas\u0131l okunaca\u011f\u0131 birka\u00e7 \u00f6rnekle a\u00e7\u0131klanmaktad\u0131r.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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