<\/p>\n
Bir pandan\u0131n DataFrame’indeki bir veya daha fazla s\u00fctunun medyan\u0131n\u0131 bulmak i\u00e7in median()<\/strong> i\u015flevini kullanabilirsiniz:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, bu i\u015flevin 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, bir pandas DataFrame’de tek bir s\u00fctunun medyan de\u011ferinin nas\u0131l bulunaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Puan s\u00fctunundaki medyan de\u011fer 23’t\u00fcr<\/strong> .<\/span><\/p>\n Medyan hesaplan\u0131rken varsay\u0131lan olarak median()<\/strong> i\u015flevinin t\u00fcm eksik de\u011ferleri yok sayd\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, bir pandas DataFrame’de birden fazla s\u00fctunun medyan de\u011ferinin nas\u0131l bulunaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, bir pandas DataFrame’deki t\u00fcm say\u0131sal s\u00fctunlar\u0131n medyan de\u011ferinin nas\u0131l bulunaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Pandalar’daki s\u00fctunlar\u0131n ortalamas\u0131 nas\u0131l hesaplan\u0131r?<\/a> Bir pandan\u0131n DataFrame’indeki bir veya daha fazla s\u00fctunun medyan\u0131n\u0131 bulmak i\u00e7in median() i\u015flevini kullanabilirsiniz: #find median value in specific column df[‘ column1 ‘]. median () #find median value in several columns df[[‘ column1 ‘, ‘ column2 ‘]]. median () #find median value in every numeric column df. median () A\u015fa\u011f\u0131daki \u00f6rnekler, bu i\u015flevin pratikte 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-1834","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n #find median value in specific column\ndf[' column1<\/span> ']. median<\/span> ()<\/span>\n\n#find median value in several columns\ndf[[' column1<\/span> ', ' column2<\/span> ']]. median<\/span> ()\n\n<\/span>#find median value in every numeric column\ndf. median<\/span> ()<\/span>\n<\/span><\/strong><\/pre>\n #createDataFrame\ndf = pd. DataFrame<\/span> ({' player<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n ' points<\/span> ': [25, pd. NA<\/span> , 15, 14, 19, 23, 25, 29],\n ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})<\/span>\n\n#view DataFrame\ndf\n\n\tplayer points assists rebounds\n0 to 25 5 11\n1 B NA 7 8\n2 C 15 7 10\n3 D 14 9 6\n4 E 19 12 6\n5 F 23 9 5\n6 G 25 9 9\n7:29 4 12<\/span><\/span><\/strong><\/pre>\n \u00d6rnek 1: Tek Bir S\u00fctunun Ortancas\u0131n\u0131 Bulun<\/strong><\/span><\/h3>\n
#find median value of points<\/em> column\ndf[' points<\/span> ']. median<\/span> ()\n\n23.0<\/span><\/span><\/strong><\/pre>\n \u00d6rnek 2: \u00c7oklu S\u00fctunlar\u0131n Ortancas\u0131n\u0131 Bulma<\/strong><\/span><\/h3>\n
#find median value of points<\/em> and rebounds<\/em> columns\ndf[[' points<\/span> ', ' rebounds<\/span> ']]. median<\/span> ()\n\npoints 23.0\nrebounds 8.5\ndtype:float64<\/span><\/span><\/strong><\/pre>\n \u00d6rnek 3: T\u00fcm Say\u0131sal S\u00fctunlar\u0131n Ortancas\u0131n\u0131 Bulun<\/strong><\/span><\/h3>\n
#find median value of all numeric columns\ndf. median<\/span> ()\n\npoints 23.0\nassists 8.0\nrebounds 8.5\ndtype:float64<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Pandalar’da s\u00fctunlar\u0131n toplam\u0131 nas\u0131l hesaplan\u0131r?<\/a>
Pandalarda s\u00fctunlar\u0131n maksimum de\u011feri nas\u0131l bulunur?<\/p>\n","protected":false},"excerpt":{"rendered":"