<\/p>\n
Pandalarda grup ba\u015f\u0131na standart sapmay\u0131 hesaplamak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz:<\/span><\/p>\n Y\u00f6ntem 1: Bir s\u00fctuna g\u00f6re grupland\u0131r\u0131lm\u0131\u015f bir s\u00fctunun standart sapmas\u0131n\u0131 hesaplama<\/strong><\/span><\/p>\n Y\u00f6ntem 2: Tek bir s\u00fctuna g\u00f6re grupland\u0131r\u0131lm\u0131\u015f birden \u00e7ok s\u00fctunun standart sapmas\u0131n\u0131 hesaplama<\/strong><\/span><\/p>\n Y\u00f6ntem 3: Birden \u00e7ok s\u00fctuna g\u00f6re grupland\u0131r\u0131lm\u0131\u015f bir s\u00fctunun standart sapmas\u0131n\u0131 hesaplama<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, her y\u00f6ntemin 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, tak\u0131m<\/strong> s\u00fctununa g\u00f6re grupland\u0131r\u0131lm\u0131\u015f puan<\/strong> s\u00fctununun standart sapmas\u0131n\u0131n nas\u0131l hesaplanaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Sonu\u00e7tan \u015funlar\u0131 g\u00f6rebiliriz:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, tak\u0131mlar<\/strong> s\u00fctununa g\u00f6re grupland\u0131r\u0131lm\u0131\u015f olarak puan<\/strong> s\u00fctununun standart sapmas\u0131n\u0131 ve asist<\/strong> s\u00fctununun standart sapmas\u0131n\u0131 nas\u0131l hesaplayaca\u011f\u0131n\u0131z\u0131 g\u00f6sterir:<\/span><\/p>\n Sonu\u00e7, her tak\u0131m i\u00e7in puan<\/strong> s\u00fctununun ve asist<\/strong> s\u00fctununun standart sapmas\u0131n\u0131 g\u00f6r\u00fcnt\u00fcler.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, tak\u0131m<\/strong> ve konum<\/strong> s\u00fctunlar\u0131na g\u00f6re grupland\u0131r\u0131lm\u0131\u015f puan<\/strong> s\u00fctununun standart sapmas\u0131n\u0131n nas\u0131l hesaplanaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Sonu\u00e7tan \u015funlar\u0131 g\u00f6rebiliriz:<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde di\u011fer yayg\u0131n panda g\u00f6revlerinin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Pandalarda grup ortalamas\u0131 nas\u0131l hesaplan\u0131r<\/a> Pandalarda grup ba\u015f\u0131na standart sapmay\u0131 hesaplamak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz: Y\u00f6ntem 1: Bir s\u00fctuna g\u00f6re grupland\u0131r\u0131lm\u0131\u015f bir s\u00fctunun standart sapmas\u0131n\u0131 hesaplama df. groupby ([‘ group_col ‘])[‘ value_col ‘]. std () Y\u00f6ntem 2: Tek bir s\u00fctuna g\u00f6re grupland\u0131r\u0131lm\u0131\u015f birden \u00e7ok s\u00fctunun standart sapmas\u0131n\u0131 hesaplama df. groupby ([‘ group_col ‘])[‘ value_col1 ‘, ‘ value_col2 ‘]. std () […]<\/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-3697","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df. groupby<\/span> ([' group_col<\/span> '])[' value_col<\/span> ']. std<\/span> ()\n<\/strong><\/pre>\n df. groupby<\/span> ([' group_col<\/span> '])[' value_col1<\/span> ', ' value_col2<\/span> ']. std<\/span> ()<\/strong><\/pre>\n df. groupby<\/span> ([' group_col1<\/span> ', ' group_col2<\/span> '])[' value_col<\/span> ']. std<\/span> ()<\/strong><\/pre>\n import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n ' position<\/span> ': ['G', 'F', 'F', 'G', 'F', 'F', 'G', 'G'],\n ' points<\/span> ': [30, 22, 19, 14, 14, 11, 20, 28],\n ' assists<\/span> ': [4, 3, 7, 7, 12, 15, 8, 4]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n team position points assists\n0 AG 30 4\n1 AF 22 3\n2 FY 19 7\n3 AG 14 7\n4 BF 14 12\n5 BF 11 15\n6 BG 20 8\n7 BG 28 4\n<\/strong><\/pre>\n \u00d6rnek 1: Bir s\u00fctuna g\u00f6re grupland\u0131r\u0131lm\u0131\u015f bir s\u00fctunun standart sapmas\u0131n\u0131 hesaplama<\/strong><\/span><\/h2>\n
#calculate standard deviation of points grouped by team\n<\/span>df. groupby<\/span> (' team<\/span> ')[' points<\/span> ']. std<\/span> ()\n\nteam\nA 6.70199\nB 7.50000\nName: points, dtype: float64\n<\/span><\/span><\/strong><\/pre>\n\n
\u00d6rnek 2:<\/strong><\/span> Tek bir s\u00fctuna g\u00f6re grupland\u0131r\u0131lm\u0131\u015f birden \u00e7ok s\u00fctunun<\/strong><\/span> standart sapmas\u0131n\u0131<\/strong><\/span> hesaplama<\/h2>\n
#calculate standard deviation of points and assists grouped by team\n<\/span>df. groupby<\/span> (' team<\/span> ')[[' points<\/span> ', ' assists<\/span> ']]. std<\/span> ()\n\n\tassist points\nteam\t\t\nA 6.70199 2.061553\nB 7.50000 4.787136\n<\/span><\/span><\/strong><\/pre>\n \u00d6rnek 3: Birden \u00e7ok s\u00fctuna g\u00f6re grupland\u0131r\u0131lm\u0131\u015f bir s\u00fctunun standart sapmas\u0131n\u0131 hesaplama<\/strong><\/span><\/h2>\n
#calculate standard deviation of points, grouped by team and position\n<\/span>df. groupby<\/span> ([' team<\/span> ', ' position<\/span> '])[' points<\/span> ']. std<\/span> ()\n\nteam position\nAF 2.121320\n G 11.313708\nBF 2.121320\n G 5.656854\nName: points, dtype: float64\n<\/span><\/span><\/strong><\/pre>\n\n
Ek kaynaklar<\/strong><\/span><\/h2>\n
Pandalarda grup ba\u015f\u0131na maksimum de\u011fer nas\u0131l hesaplan\u0131r?<\/a>
Pandas’ta grup ba\u015f\u0131na miktar nas\u0131l hesaplan\u0131r?<\/a>
Pandalar’da gruplara g\u00f6re nicelikler nas\u0131l hesaplan\u0131r?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"