{"id":4064,"date":"2023-07-13T20:37:59","date_gmt":"2023-07-13T20:37:59","guid":{"rendered":"https:\/\/statorials.org\/tr\/numpy-0-ile-1-arasinda-normallesir\/"},"modified":"2023-07-13T20:37:59","modified_gmt":"2023-07-13T20:37:59","slug":"numpy-0-ile-1-arasinda-normallesir","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/numpy-0-ile-1-arasinda-normallesir\/","title":{"rendered":"Numpy dizisindeki 0 ile 1 aras\u0131ndaki de\u011ferler nas\u0131l normalle\u015ftirilir?"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Bir NumPy dizisinin de\u011ferlerini 0 ile 1 aras\u0131nda normalle\u015ftirmek i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemlerden birini kullanabilirsiniz:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Y\u00f6ntem 1: NumPy&#8217;yi kullan\u0131n<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\nx_norm = (x-np. <span style=\"color: #3366ff;\">min<\/span> (x))\/(np. <span style=\"color: #3366ff;\">max<\/span> (x)-np. <span style=\"color: #3366ff;\">min<\/span> (x))\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Y\u00f6ntem 2: Sklearn&#8217;i kullan\u0131n<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> sklearn <span style=\"color: #008000;\">import<\/span> preprocessing <span style=\"color: #008000;\">as<\/span> pre\n\nx = x. <span style=\"color: #3366ff;\">reshape<\/span> (-1, 1)\n\nx_norm = pre. <span style=\"color: #3366ff;\">MinMaxScaler<\/span> (). <span style=\"color: #3366ff;\">fit_transform<\/span> (x)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Her iki y\u00f6ntem de <strong>x&#8217;in<\/strong> normalle\u015ftirmek istedi\u011finiz NumPy dizisinin ad\u0131 oldu\u011funu varsayar.<\/span><\/p>\n<p> <span style=\"color: #000000;\">A\u015fa\u011f\u0131daki \u00f6rnekler her y\u00f6ntemin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u00d6rnek 1: NumPy kullanarak de\u011ferleri normalle\u015ftirin<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">A\u015fa\u011f\u0131daki NumPy dizisine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create NumPy array\n<\/span>x = np. <span style=\"color: #3366ff;\">array<\/span> ([13, 16, 19, 22, 23, 38, 47, 56, 58, 63, 65, 70, 71])\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Dizideki her de\u011feri 0 ile 1 aras\u0131nda normalle\u015ftirmek i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#normalize all values to be between 0 and 1\n<\/span>x_norm = (x-np. <span style=\"color: #3366ff;\">min<\/span> (x))\/(np. <span style=\"color: #3366ff;\">max<\/span> (x)-np. <span style=\"color: #3366ff;\">min<\/span> (x))\n\n<span style=\"color: #008080;\">#view normalized array\n<\/span><span style=\"color: #008000;\">print<\/span> (x_norm)\n\n[0. 0.05172414 0.10344828 0.15517241 0.17241379 0.43103448\n 0.5862069 0.74137931 0.77586207 0.86206897 0.89655172 0.98275862\n 1. ]\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">NumPy dizisindeki her de\u011fer 0 ile 1 aras\u0131nda olacak \u015fekilde normalle\u015ftirildi.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0130\u015fte nas\u0131l \u00e7al\u0131\u015ft\u0131:<\/span><\/p>\n<p> <span style=\"color: #000000;\">Veri setindeki minimum de\u011fer 13, maksimum de\u011fer ise 71\u2019dir.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>13&#8217;\u00fcn<\/strong> ilk de\u011ferini normalle\u015ftirmek i\u00e7in daha \u00f6nce payla\u015f\u0131lan form\u00fcl\u00fc uygulayaca\u011f\u0131z:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>z <sub>ben<\/sub> = (x <sub>ben<\/sub> \u2013 min(x)) \/ (maks(x) \u2013 min(x))<\/strong> = (13 \u2013 13) \/ (71 \u2013 13) = <strong>0<\/strong><\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>16&#8217;n\u0131n<\/strong> ikinci de\u011ferini normalle\u015ftirmek i\u00e7in ayn\u0131 form\u00fcl\u00fc kullan\u0131r\u0131z:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>z <sub>ben<\/sub> = (x <sub>i<\/sub> \u2013 min(x)) \/ (maks(x) \u2013 min(x))<\/strong> = (16 \u2013 13) \/ (71 \u2013 13) = <strong>0,0517<\/strong><\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>19&#8217;un<\/strong> \u00fc\u00e7\u00fcnc\u00fc de\u011ferini normalle\u015ftirmek i\u00e7in ayn\u0131 form\u00fcl\u00fc kullan\u0131r\u0131z:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>z <sub>ben<\/sub> = (x <sub>i<\/sub> \u2013 min(x)) \/ (maks(x) \u2013 min(x))<\/strong> = (19 \u2013 13) \/ (71 \u2013 13) = <strong>0,1034<\/strong><\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Orijinal NumPy dizisindeki her de\u011feri 0 ile 1 aras\u0131nda normalle\u015ftirmek i\u00e7in ayn\u0131 form\u00fcl\u00fc kullan\u0131r\u0131z.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u00d6rnek 2: Sklearn kullanarak de\u011ferleri normalle\u015ftirin<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Yine a\u015fa\u011f\u0131daki NumPy dizisine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create NumPy array\n<\/span>x = np. <span style=\"color: #3366ff;\">array<\/span> ([13, 16, 19, 22, 23, 38, 47, 56, 58, 63, 65, 70, 71])\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Dizideki her de\u011feri 0 ile 1 aras\u0131nda normalle\u015ftirmek i\u00e7in <strong>sklearn&#8217;in<\/strong> <strong>MinMaxScaler()<\/strong> i\u015flevini kullanabiliriz:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">from<\/span> sklearn <span style=\"color: #008000;\">import<\/span> preprocessing <span style=\"color: #008000;\">as<\/span> pre\n\n<span style=\"color: #008080;\">#reshape array so that it works with sklearn\n<\/span>x = x. <span style=\"color: #3366ff;\">reshape<\/span> (-1, 1)\n\n<span style=\"color: #008080;\">#normalize all values to be between 0 and 1\n<\/span>x_norm = pre. <span style=\"color: #3366ff;\">MinMaxScaler<\/span> (). <span style=\"color: #3366ff;\">fit_transform<\/span> (x)\n\n<span style=\"color: #008080;\">#view normalized array\n<\/span><span style=\"color: #008000;\">print<\/span> (x_norm)\n\n[[0. ]\n [0.05172414]\n [0.10344828]\n [0.15517241]\n [0.17241379]\n [0.43103448]\n [0.5862069]\n [0.74137931]\n [0.77586207]\n [0.86206897]\n [0.89655172]\n [0.98275862]\n [1. ]]<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">NumPy dizisindeki her de\u011fer 0 ile 1 aras\u0131nda olacak \u015fekilde normalle\u015ftirildi.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Bu normalle\u015ftirilmi\u015f de\u011ferlerin \u00f6nceki y\u00f6ntem kullan\u0131larak hesaplanan de\u011ferlerle e\u015fle\u015fti\u011fini unutmay\u0131n.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Ek kaynaklar<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">A\u015fa\u011f\u0131daki e\u011fitimler NumPy&#8217;de di\u011fer genel g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fini a\u00e7\u0131klamaktad\u0131r:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/tr\/uyusuk-liderlik-tablosu\/\" target=\"_blank\" rel=\"noopener\">NumPy dizisindeki \u00f6\u011feler nas\u0131l sipari\u015f edilir<\/a><br \/> <a href=\"https:\/\/statorials.org\/tr\/numpy-kopyalari-kaldir\/\" target=\"_blank\" rel=\"noopener\">NumPy dizisinden yinelenen \u00f6\u011feler nas\u0131l kald\u0131r\u0131l\u0131r<\/a><br \/> <a href=\"https:\/\/statorials.org\/tr\/en-sik-gorulen-deger-numpy\/\" target=\"_blank\" rel=\"noopener\">NumPy dizisinde en s\u0131k g\u00f6r\u00fclen de\u011fer nas\u0131l bulunur?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Bir NumPy dizisinin de\u011ferlerini 0 ile 1 aras\u0131nda normalle\u015ftirmek i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemlerden birini kullanabilirsiniz: Y\u00f6ntem 1: NumPy&#8217;yi kullan\u0131n import numpy as np x_norm = (x-np. min (x))\/(np. max (x)-np. min (x)) Y\u00f6ntem 2: Sklearn&#8217;i kullan\u0131n from sklearn import preprocessing as pre x = x. reshape (-1, 1) x_norm = pre. MinMaxScaler (). fit_transform (x) Her [&hellip;]<\/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-4064","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>NumPy dizisindeki 0 ile 1 aras\u0131ndaki de\u011ferler nas\u0131l normalle\u015ftirilir?<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde, bir NumPy dizisinin de\u011ferlerinin 0 ile 1 aras\u0131nda nas\u0131l normalle\u015ftirilece\u011fi birka\u00e7 \u00f6rnekle a\u00e7\u0131klanmaktad\u0131r.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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