<\/p>\n
K\u00fcm\u00fclatif ortalama<\/strong> bize bir dizi de\u011ferin belirli bir noktaya kadar ortalamas\u0131n\u0131 anlat\u0131r.<\/span><\/p>\n Pandas DataFrame’in bir s\u00fctunundaki de\u011ferlerin k\u00fcm\u00fclatif ortalamas\u0131n\u0131 hesaplamak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n Diyelim ki bir ma\u011fazan\u0131n art arda 16 g\u00fcn boyunca yapt\u0131\u011f\u0131 toplam sat\u0131\u015flar\u0131 g\u00f6steren a\u015fa\u011f\u0131daki pandalar DataFrame’e sahibiz:<\/span><\/p>\n Sat\u0131\u015f s\u00fctununun cari ortalamas\u0131n\u0131 hesaplamak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n K\u00fcm\u00fclatif ortalama de\u011ferleri \u015fu \u015fekilde yorumlayabiliriz:<\/span><\/p>\n Ve benzeri.<\/span><\/p>\n K\u00fcm\u00fclatif ortalama sat\u0131\u015f de\u011ferlerini DataFrame’de yeni bir s\u00fctun olarak eklemek i\u00e7in a\u015fa\u011f\u0131daki kodu da kullanabilece\u011finizi unutmay\u0131n:<\/span><\/p>\n Cum_avg_sales<\/strong> s\u00fctunu, “sat\u0131\u015f” s\u00fctunundaki de\u011ferlerin k\u00fcm\u00fclatif ortalamas\u0131n\u0131 g\u00f6r\u00fcnt\u00fcler.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde Python’da di\u011fer yayg\u0131n metriklerin nas\u0131l hesaplanaca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Python’da k\u0131rp\u0131lm\u0131\u015f ortalama nas\u0131l hesaplan\u0131r<\/a> K\u00fcm\u00fclatif ortalama bize bir dizi de\u011ferin belirli bir noktaya kadar ortalamas\u0131n\u0131 anlat\u0131r. Pandas DataFrame’in bir s\u00fctunundaki de\u011ferlerin k\u00fcm\u00fclatif ortalamas\u0131n\u0131 hesaplamak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz: df[‘ column_name ‘]. expanding (). mean () A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir. \u00d6rnek: Python’da K\u00fcm\u00fclatif Ortalamay\u0131 Hesaplama Diyelim ki bir ma\u011fazan\u0131n art arda 16 g\u00fcn boyunca yapt\u0131\u011f\u0131 toplam […]<\/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-2826","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df[' column_name<\/span> ']. expanding<\/span> (). mean<\/span> ()<\/strong><\/pre>\n \u00d6rnek: Python’da K\u00fcm\u00fclatif Ortalamay\u0131 Hesaplama<\/strong><\/span><\/h3>\n
import<\/span> pandas as<\/span> pd\nimport<\/span> numpy as<\/span> np\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' day<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16],\n ' sales<\/span> ': [3, 6, 0, 2, 4, 1, 0, 1, 4, 7, 3, 3, 8, 3, 5, 5]})\n\n#view first five rows of DataFrame\n<\/span>df. head<\/span> ()\n\n\tday sales\n0 1 3\n1 2 6\n2 3 0\n3 4 2\n4 5 4<\/strong><\/pre>\n #calculate average of 'sales' column\n<\/span>df[' sales<\/span> ']. expanding<\/span> (). mean<\/span> ()\n\n0 3.000000\n1 4.500000\n2 3.000000\n3 2.750000\n4 3.000000\n5 2.666667\n6 2.285714\n7 2.125000\n8 2.333333\n9 2.800000\n10 2.818182\n11 2.833333\n12 3.230769\n13 3.214286\n14 3.333333\n15 3.437500\nName: sales, dtype: float64\n<\/strong><\/pre>\n\n
#add cumulative average sales as new column\n<\/span>df[' cum_avg_sales<\/span> '] = df[' sales<\/span> ']. expanding<\/span> (). mean<\/span> ()\n\n#view updated DataFrame\n<\/span>df\n\n\tday sales cum_avg_sales\n0 1 3 3.000000\n1 2 6 4.500000\n2 3 0 3.000000\n3 4 2 2.750000\n4 5 4 3.000000\n5 6 1 2.666667\n6 7 0 2.285714\n7 8 1 2.125000\n8 9 4 2.333333\n9 10 7 2.800000\n10 11 3 2.818182\n11 12 3 2.833333\n12 13 8 3.230769\n13 14 3 3.214286\n14 15 5 3.333333\n15 16 5 3.437500\n<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Python’da Geometrik Ortalama Nas\u0131l Hesaplan\u0131r?<\/a>
Python’da Hareketli Ortalamalar Nas\u0131l Hesaplan\u0131r?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"