{"id":1734,"date":"2023-07-25T05:07:32","date_gmt":"2023-07-25T05:07:32","guid":{"rendered":"https:\/\/statorials.org\/tr\/pandalar-satir-satir-dusuyor\/"},"modified":"2023-07-25T05:07:32","modified_gmt":"2023-07-25T05:07:32","slug":"pandalar-satir-satir-dusuyor","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/pandalar-satir-satir-dusuyor\/","title":{"rendered":"Pandalarda dizine g\u00f6re sat\u0131rlar\u0131 silme (\u00f6rneklerle)"},"content":{"rendered":"

<\/p>\n

\n

Bir pandan\u0131n DataFrame’indeki bir sat\u0131r\u0131 dizin numaras\u0131na g\u00f6re silmek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n

 #drop first row from DataFrame<\/span>\ndf = df. drop<\/span> (index= 0<\/span> )\n<\/strong><\/pre>\n
 Ve bir pandan\u0131n DataFrame’inden indeks numaralar\u0131na g\u00f6re birden fazla sat\u0131r\u0131 silmek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n
 #drop first, second, and fourth row from DataFrame\n<\/span>df = df. drop<\/span> ( index=[0,1,3<\/span> ]<\/span> )<\/span><\/strong><\/pre>\n
 DataFrame’inizde dizin de\u011ferleri olarak dizeler varsa, adlar\u0131 kald\u0131r\u0131lacak dizeler olarak iletebilirsiniz:<\/span><\/p>\n
 df = df. drop<\/span> (index=[' first<\/span> ', ' second<\/span> ', ' third<\/span> '])\n<\/strong><\/pre>\n
 A\u015fa\u011f\u0131daki \u00f6rnekler pratikte sat\u0131rlar\u0131n dizine g\u00f6re nas\u0131l silinece\u011fini g\u00f6stermektedir.<\/span><\/p>\n
 \u00d6rnek 1: bir sat\u0131r\u0131 dizine g\u00f6re silme<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki kod, bir pandas DataFrame’deki ikinci sat\u0131r\u0131n nas\u0131l silinece\u011fini g\u00f6sterir:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['Mavs', 'Lakers', 'Spurs', 'Cavs'],\n                   ' first<\/span> ': ['Dirk', 'Kobe', 'Tim', 'Lebron'],\n                   ' last<\/span> ': ['Nowitzki', 'Bryant', 'Duncan', 'James'],\n                   ' points<\/span> ': [26, 31, 22, 29]})\n\n<\/span>#view DataFrame\ndf\n\n<\/span>team first last<\/span> points\n0 Mavs Dirk Nowitzki<\/span> 26\n1 Lakers Kobe Bryant<\/span> 31\n2 Spurs Tim Duncan<\/span> 22\n3 Cavs LeBron James<\/span> 29<\/span>\n\n#drop second row from DataFrame<\/span>\ndf = df. drop<\/span> (index= 1<\/span> ) \n\n#view resulting dataFrame<\/span>\ndf\n\n        team first last points\n0 Mavs Dirk Nowitzki 26\n2 Spurs Tim Duncan 22\n3 Cavs LeBron James 29\n<\/strong><\/pre>\n
 \u00d6rnek 2: birden \u00e7ok sat\u0131r\u0131 dizine g\u00f6re silme<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki kod, bir panda DataFrame’deki birden fazla sat\u0131r\u0131n dizine g\u00f6re nas\u0131l silinece\u011fini g\u00f6sterir:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['Mavs', 'Lakers', 'Spurs', 'Cavs'],\n                   ' first<\/span> ': ['Dirk', 'Kobe', 'Tim', 'Lebron'],\n                   ' last<\/span> ': ['Nowitzki', 'Bryant', 'Duncan', 'James'],\n                   ' points<\/span> ': [26, 31, 22, 29]})\n\n<\/span>#view DataFrame\ndf\n\n<\/span>team first last<\/span> points\n0 Mavs Dirk Nowitzki<\/span> 26\n1 Lakers Kobe Bryant<\/span> 31\n2 Spurs Tim Duncan<\/span> 22\n3 Cavs LeBron James<\/span> 29<\/span>\n\n#drop first, second, and fourth row from DataFrame<\/span>\ndf = df. drop<\/span> ( index=[0,1,3<\/span> ]<\/span> ) \n\n#view resulting dataFrame<\/span>\ndf\n\n\tteam first last points\n2 Spurs Tim Duncan 22<\/strong><\/pre>\n
 \u00d6rnek 3: Dizin bir dize oldu\u011funda sat\u0131rlar\u0131 silin<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki kod, dizin bir say\u0131 yerine bir dize oldu\u011funda, pandas DataFrame’deki sat\u0131rlar\u0131n dizine g\u00f6re nas\u0131l kald\u0131r\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['Mavs', 'Lakers', 'Spurs', 'Cavs'],\n                   ' last<\/span> ': ['Nowitzki', 'Bryant', 'Duncan', 'James'],\n                   ' last<\/span> ': ['Nowitzki', 'Bryant', 'Duncan', 'James'],\n                   ' points<\/span> ': [26, 31, 22, 29]},\n                   index=['A', 'B', 'C', 'D'])\n\n<\/span>#view DataFrame\ndf\n<\/span>team first last<\/span> points\nA Mavs Dirk Nowitzki<\/span> 26\nB Lakers Kobe Bryant<\/span> 31\nC Spurs Tim Duncan<\/span> 22\nD Cavs Lebron James<\/span> 29\n<\/span>\n#remove rows with index values 'A' and 'C'\ndf = df. drop<\/span> (index=[' A<\/span> ',' C<\/span> '])\n<\/span>\n#view resulting DataFrame\ndf\n\nteam first last points\nB Lakers Kobe Bryant 31\nD Cavs Lebron James 29<\/span><\/span><\/strong><\/pre>\n
 Ek kaynaklar<\/strong><\/span><\/h3>\n
 Pandalar’da s\u00fctunlar\u0131 dizine g\u00f6re nas\u0131l silebilirim?<\/a>
 Pandalar: belirli bir dizeyi i\u00e7eren sat\u0131rlar nas\u0131l silinir<\/a>
 Pandalar: Yinelenen sat\u0131rlar nas\u0131l kald\u0131r\u0131l\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Bir pandan\u0131n DataFrame’indeki bir sat\u0131r\u0131 dizin numaras\u0131na g\u00f6re silmek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz: #drop first row from DataFrame df = df. drop (index= 0 ) Ve bir pandan\u0131n DataFrame’inden indeks numaralar\u0131na g\u00f6re birden fazla sat\u0131r\u0131 silmek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz: #drop first, second, and fourth row from DataFrame df = df. drop ( index=[0,1,3 ] […]<\/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-1734","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nPandalarda Dizine G\u00f6re Sat\u0131rlar\u0131 Silme (\u00d6rneklerle)<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde, panda DataFrame'de sat\u0131rlar\u0131n dizine 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