{"id":2871,"date":"2023-07-20T08:04:01","date_gmt":"2023-07-20T08:04:01","guid":{"rendered":"https:\/\/statorials.org\/tr\/matplotlib-aline\/"},"modified":"2023-07-20T08:04:01","modified_gmt":"2023-07-20T08:04:01","slug":"matplotlib-aline","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/matplotlib-aline\/","title":{"rendered":"Matplotlib&#39;de abline i\u015flevi nas\u0131l kullan\u0131l\u0131r?"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">R&#8217;deki <a href=\"https:\/\/statorials.org\/tr\/rdeki-ablan\/\" target=\"_blank\" rel=\"noopener\">abline<\/a> i\u015flevi bir yola d\u00fcz bir \u00e7izgi eklemek i\u00e7in kullan\u0131labilir.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Ne yaz\u0131k ki bu i\u015flev Matplotlib&#8217;de mevcut de\u011fil, ancak abline i\u015flevini Python&#8217;da \u00e7o\u011faltmak i\u00e7in a\u015fa\u011f\u0131daki i\u015flevi tan\u0131mlayabiliriz:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008000;\">def<\/span> <span style=\"color: #0000ff;\">abline<\/span> (slope, intercept):\n    axes = plt. <span style=\"color: #3366ff;\">gca<\/span> ()\n    x_vals = np. <span style=\"color: #3366ff;\">array<\/span> ( <span style=\"color: #3366ff;\">axes.get_xlim<\/span> ())\n    y_vals = intercept + slope * x_vals\n    plt. <span style=\"color: #3366ff;\">plot<\/span> (x_vals, y_vals, '--')\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">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<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">x<\/span> ': [1, 1, 2, 3, 4, 4, 5, 6, 7, 7, 8, 9, 10, 11],\n                   ' <span style=\"color: #ff0000;\">y<\/span> ': [13, 14, 17, 12, 23, 24, 25, 25, 24, 28, 32, 33, 35, 40]})\n\n<span style=\"color: #008080;\">#view first five rows of DataFrame\n<\/span>df. <span style=\"color: #3366ff;\">head<\/span> ()\n\n\tx y\n0 1 13\n1 1 14\n2 2 17\n3 3 12\n4 4 23<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u00d6rnek 1: Yatay \u00c7izgi \u00c7izmek i\u00e7in Abline&#8217;\u0131 Kullanmak<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Daha \u00f6nce tan\u0131mlad\u0131\u011f\u0131m\u0131z <strong>abline<\/strong> fonksiyonu ile yatay bir \u00e7izgi \u00e7izmek i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create scatterplot\n<\/span>plt. <span style=\"color: #3366ff;\">scatter<\/span> (df. <span style=\"color: #3366ff;\">x<\/span> , df. <span style=\"color: #3366ff;\">y<\/span> )\n\n<span style=\"color: #008080;\">#add horizontal line at y=30\n<\/span>abline( <span style=\"color: #008000;\">0,30<\/span> <span style=\"color: #008000;\">)<\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-25090 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/abline1-1.jpg\" alt=\"\" width=\"566\" height=\"379\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">Sonu\u00e7 y=30 noktas\u0131nda yatay bir \u00e7izgidir.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u00d6rnek 2: Belirli bir e\u011fimi ve kesi\u015fimi olan bir \u00e7izgi \u00e7izmek i\u00e7in yatay \u00e7izgiyi kullan\u0131n<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">E\u011fimi <strong>3<\/strong> ve y kesme noktas\u0131 <strong>15<\/strong> olan bir \u00e7izgi \u00e7izmek i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create scatterplot\n<\/span>plt. <span style=\"color: #3366ff;\">scatter<\/span> (df. <span style=\"color: #3366ff;\">x<\/span> , df. <span style=\"color: #3366ff;\">y<\/span> )\n\n<span style=\"color: #008080;\">#add straight line with slope=3 and intercept=15\n<\/span>abline( <span style=\"color: #008000;\">3,15<\/span> <span style=\"color: #008000;\">)<\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-25092 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/abline3-1.jpg\" alt=\"\" width=\"541\" height=\"360\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">Sonu\u00e7, e\u011fimi 3 ve kesi\u015fimi 15 olan d\u00fcz bir \u00e7izgidir.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u00d6rnek 3: Regresyon do\u011frusunu \u00e7izmek i\u00e7in abline&#8217;\u0131 kullan\u0131n<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Daha \u00f6nce tan\u0131mlanan <strong>abline<\/strong> fonksiyonuyla bir regresyon \u00e7izgisi \u00e7izmek i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate slope and intercept of regression line\n<span style=\"color: #000000;\">slope = np. <span style=\"color: #3366ff;\">polyfit<\/span> (df. <span style=\"color: #3366ff;\">x<\/span> , df. <span style=\"color: #3366ff;\">y<\/span> , 1)[ <span style=\"color: #008000;\">0<\/span> ]<\/span>\n<span style=\"color: #000000;\">intercept = np. <span style=\"color: #3366ff;\">polyfit<\/span> (df. <span style=\"color: #3366ff;\">x<\/span> , df. <span style=\"color: #3366ff;\">y<\/span> , 1)[ <span style=\"color: #008000;\">1<\/span> ]<\/span>\n\n#create scatterplot\n<\/span>plt. <span style=\"color: #3366ff;\">scatter<\/span> (df. <span style=\"color: #3366ff;\">x<\/span> , df. <span style=\"color: #3366ff;\">y<\/span> )\n\n<span style=\"color: #008080;\">#add regression line\n<\/span><span style=\"color: #000000;\">abline(slope, intercept)<\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-25091 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/abline2-1.jpg\" alt=\"\" width=\"544\" height=\"362\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">Sonu\u00e7, do\u011frudan \u00e7izim noktalar\u0131ndan ge\u00e7en uygun bir regresyon \u00e7izgisidir.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Not<\/strong> : NumPy&#8217;deki <strong>polyfit<\/strong> fonksiyonunun tam belgelerini <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.polyfit.html\" target=\"_blank\" rel=\"noopener\">burada<\/a> bulabilirsiniz.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Ek kaynaklar<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">A\u015fa\u011f\u0131daki e\u011fitimlerde pandalarda di\u011fer ortak g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/tr\/pandalara-ozel-toplam-sutunlari\/\" target=\"_blank\" rel=\"noopener\">Pandalarda belirli s\u00fctunlar nas\u0131l toplan\u0131r?<\/a><br \/><a href=\"https:\/\/statorials.org\/tr\/kosullu-pandalar-toplami-sutunu\/\" target=\"_blank\" rel=\"noopener\">Pandalar&#8217;da bir ko\u015fula dayal\u0131 s\u00fctunlar nas\u0131l toplan\u0131r?<\/a><br \/> <a href=\"https:\/\/statorials.org\/tr\/pandalar-cumsumu-ters-cevirdi\/\" target=\"_blank\" rel=\"noopener\">Pandalarda ters k\u00fcm\u00fclatif toplam nas\u0131l hesaplan\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R&#8217;deki abline i\u015flevi bir yola d\u00fcz bir \u00e7izgi eklemek i\u00e7in kullan\u0131labilir. Ne yaz\u0131k ki bu i\u015flev Matplotlib&#8217;de mevcut de\u011fil, ancak abline i\u015flevini Python&#8217;da \u00e7o\u011faltmak i\u00e7in a\u015fa\u011f\u0131daki i\u015flevi tan\u0131mlayabiliriz: import matplotlib. pyplot as plt import numpy as np def abline (slope, intercept): axes = plt. gca () x_vals = np. array ( axes.get_xlim ()) y_vals = [&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-2871","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>Matplotlib&#039;de abline i\u015flevi nas\u0131l kullan\u0131l\u0131r \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde, Matplotlib&#039;de R&#039;de 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