<\/p>\n
Pandas DataFrame’de tek sat\u0131rlar\u0131 se\u00e7mek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n Ayr\u0131ca bir pandas DataFrame’deki belirli s\u00fctunlardaki tek sat\u0131rlar\u0131 se\u00e7mek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, bu s\u00f6zdiziminin 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, panda DataFrame’in t\u00fcm s\u00fctunlar\u0131ndaki benzersiz sat\u0131rlar\u0131n nas\u0131l se\u00e7ilece\u011fini g\u00f6sterir:<\/span><\/p>\n Birinci ve ikinci sat\u0131rlar birbirinin kopyas\u0131 oldu\u011fundan pandalar ikinci sat\u0131r\u0131 d\u00fc\u015f\u00fcrd\u00fc.<\/span><\/p>\n Varsay\u0131lan olarak drop_duplicates()<\/strong> i\u015flevi ilk kopyay\u0131 saklar. Ancak bunun yerine son kopyan\u0131n saklanmas\u0131n\u0131 belirtebilirsiniz:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, DataFrame’in tek “c” s\u00fctunundaki tek sat\u0131rlar\u0131n nas\u0131l se\u00e7ilece\u011fini g\u00f6sterir:<\/span><\/p>\n DataFrame’den iki sat\u0131r kald\u0131r\u0131ld\u0131.<\/span><\/p>\n Pandas DataFrame’de sat\u0131rlar\u0131 dizine g\u00f6re se\u00e7me<\/a> Pandas DataFrame’de tek sat\u0131rlar\u0131 se\u00e7mek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz: df = df. drop_duplicates () Ayr\u0131ca bir pandas DataFrame’deki belirli s\u00fctunlardaki tek sat\u0131rlar\u0131 se\u00e7mek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz: df = df. drop_duplicates (subset=[‘ col1 ‘, ‘ col2 ‘, …]) A\u015fa\u011f\u0131daki \u00f6rnekler, bu s\u00f6zdiziminin pratikte a\u015fa\u011f\u0131daki pandalar DataFrame ile nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir: import pandas as pd #createDataFrame […]<\/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-1787","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df = df. drop_duplicates<\/span> ()\n<\/strong><\/pre>\n df = df. drop_duplicates<\/span> (subset=[' col1<\/span> ', ' col2<\/span> ', ...])<\/strong><\/pre>\n import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' a<\/span> ':[4,4,3,8],\n ' b<\/span> ': [2, 2, 6, 8],\n ' c<\/span> ': [2, 2, 9, 9]})\n\n#view DataFrame\n<\/span>df\n\n\ta b c\n0 4 2 2\n1 4 2 2\n2 3 6 9\n3 8 8 9\n<\/strong><\/pre>\n \u00d6rnek 1: T\u00fcm s\u00fctunlardaki benzersiz sat\u0131rlar\u0131 se\u00e7in<\/strong><\/span><\/h3>\n
#drop duplicates from DataFrame<\/span>\ndf = df. drop_duplicates<\/span> ()\n\n#view DataFrame\n<\/span>df\n\n\ta b c\n0 4 2 2\n2 3 6 9\n3 8 8 9\n<\/strong><\/pre>\n #drop duplicates from DataFrame, keep last duplicate<\/span>\ndf = df. drop_duplicates<\/span> (keep=' last<\/span> ')\n\n#view DataFrame\n<\/span>df\n\n\ta b c\n1 4 2 2\n2 3 6 9\n3 8 8 9<\/strong><\/pre>\n \u00d6rnek 2: Belirli s\u00fctunlardaki benzersiz sat\u0131rlar\u0131 se\u00e7in<\/strong><\/span><\/h3>\n
#drop duplicates from column 'c' in DataFrame<\/span>\ndf = df. drop_duplicates<\/span> (subset=[' c<\/span> '])\n\n#view DataFrame\n<\/span>df\n\ta b c\n0 4 2 2\n2 3 6 9<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Pandas DataFrame’de sat\u0131r numaralar\u0131 nas\u0131l al\u0131n\u0131r?<\/a>
Pandas’ta bir s\u00fctunda benzersiz de\u011ferler nas\u0131l bulunur?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"