{"id":1171,"date":"2023-07-27T10:11:54","date_gmt":"2023-07-27T10:11:54","guid":{"rendered":"https:\/\/statorials.org\/tr\/pandalar-korelasyon-yatagi\/"},"modified":"2023-07-27T10:11:54","modified_gmt":"2023-07-27T10:11:54","slug":"pandalar-korelasyon-yatagi","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/pandalar-korelasyon-yatagi\/","title":{"rendered":"Pandalarda yuvarlanma korelasyonu nas\u0131l hesaplan\u0131r: \u00f6rneklerle"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>Yuvarlanan korelasyonlar,<\/strong> kayan bir pencere \u00fczerinde iki zaman serisi aras\u0131ndaki korelasyonlard\u0131r. Bu t\u00fcr bir korelasyonun faydalar\u0131ndan biri, iki zaman serisi aras\u0131ndaki korelasyonu zaman i\u00e7inde g\u00f6rselle\u015ftirebilmenizdir.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Bu e\u011fitimde Python&#8217;da bir panda DataFrame i\u00e7in yuvarlanan korelasyonlar\u0131n nas\u0131l hesaplanaca\u011f\u0131 ve g\u00f6rselle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r.<\/span><\/p>\n<h3> <strong>Pandalarda yuvarlanan korelasyonlar nas\u0131l hesaplan\u0131r<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">15 ayl\u0131k bir s\u00fcre boyunca iki farkl\u0131 \u00fcr\u00fcn ( <em>x<\/em> ve <em>y<\/em> ) i\u00e7in sat\u0131lan toplam \u00fcr\u00fcn say\u0131s\u0131n\u0131 g\u00f6r\u00fcnt\u00fcleyen a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd<\/span>\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np<\/span>\n\n#createDataFrame<\/span>\ndf = pd.DataFrame({'month': np. <span style=\"color: #3366ff;\">arange<\/span> (1, 16),\n                   'x': [13, 15, 16, 15, 17, 20, 22, 24, 25, 26, 23, 24, 23, 22, 20],\n                   'y': [22, 24, 23, 27, 26, 26, 27, 30, 33, 32, 27, 25, 28, 26, 28]})\n\n<span style=\"color: #008080;\">#view first six rows\n<\/span>df. <span style=\"color: #3366ff;\">head<\/span> ()\n\n  month xy\n1 1 13 22\n2 2 15 24\n3 3 16 23\n4 4 15 27\n5 5 17 26\n6 6 20 26<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Pandalarda yuvarlanan korelasyonu hesaplamak i\u00e7in <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.core.window.rolling.Rolling.corr.html\" target=\"_blank\" rel=\"noopener noreferrer\">Rolling.corr() i\u015flevini<\/a> kullanabiliriz.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Bu i\u015flev a\u015fa\u011f\u0131daki s\u00f6zdizimini kullan\u0131r:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>df[&#8216;x&#8217;].rolling(geni\u015flik).d\u00fczelt(df[&#8216;y&#8217;])<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Alt\u0131n:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>df:<\/strong> Veri \u00e7er\u00e7evesi ad\u0131<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>geni\u015flik:<\/strong> Kayan korelasyon i\u00e7in pencerenin geni\u015fli\u011fini belirten tamsay\u0131<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>x, y:<\/strong> aras\u0131ndaki kayan korelasyonu hesaplamak i\u00e7in iki s\u00fctun ad\u0131<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><em>X<\/em> \u00fcr\u00fcn\u00fc ile <em>y<\/em> \u00fcr\u00fcn\u00fc aras\u0131ndaki 3 ayl\u0131k sat\u0131\u015f korelasyonunu hesaplamak i\u00e7in bu i\u015flevi nas\u0131l kullanaca\u011f\u0131n\u0131z a\u015fa\u011f\u0131da a\u00e7\u0131klanm\u0131\u015ft\u0131r:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate 3-month rolling correlation between sales for <em>x<\/em> and <em>y<\/em><\/span>\ndf[' <span style=\"color: #008000;\">x<\/span> ']. <span style=\"color: #3366ff;\">rolling<\/span> (3). <span style=\"color: #3366ff;\">corr<\/span> (df[' <span style=\"color: #008000;\">y<\/span> '])\n\n0 NaN\n1 NaN\n2 0.654654\n3 -0.693375\n4 -0.240192\n5 -0.802955\n6 0.802955\n7 0.960769\n8 0.981981\n9 0.654654\n10 0.882498\n11 0.817057\n12 -0.944911\n13 -0.327327\n14 -0.188982\ndtype:float64\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Bu i\u015flev, iki \u00fcr\u00fcn\u00fcn \u00f6nceki 3 aydaki sat\u0131\u015flar\u0131 aras\u0131ndaki korelasyonu d\u00f6nd\u00fcr\u00fcr. \u00d6rne\u011fin:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">1-3 aylardaki sat\u0131\u015flar\u0131n korelasyonu <strong>0,654654<\/strong> idi.<\/span><\/li>\n<li> <span style=\"color: #000000;\">2-4 aylardaki sat\u0131\u015f korelasyonu <strong>-0,693375 idi.<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\">3-5 aylardaki sat\u0131\u015f korelasyonu <strong>-0,240192 idi.<\/strong><\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Ve benzeri.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Farkl\u0131 bir zaman dilimi i\u00e7in yuvarlanan korelasyonu hesaplamak i\u00e7in bu form\u00fcl\u00fc kolayca ayarlayabiliriz. \u00d6rne\u011fin, a\u015fa\u011f\u0131daki kod iki \u00fcr\u00fcn aras\u0131ndaki 6 ayl\u0131k sat\u0131\u015f korelasyonunun nas\u0131l hesaplanaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate 6-month rolling correlation between sales for <em>x<\/em> and <em>y<\/em><\/span>\ndf[' <span style=\"color: #008000;\">x<\/span> ']. <span style=\"color: #3366ff;\">rolling<\/span> (6). <span style=\"color: #3366ff;\">corr<\/span> (df[' <span style=\"color: #008000;\">y<\/span> ']) \n0 NaN\n1 NaN\n2 NaN\n3 NaN\n4 NaN\n5 0.558742\n6 0.485855\n7 0.693103\n8 0.756476\n9 0.895929\n10 0.906772\n11 0.715542\n12 0.717374\n13 0.768447\n14 0.454148\ndtype:float64\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Bu i\u015flev, \u00f6nceki 6 aydaki iki \u00fcr\u00fcn sat\u0131\u015f\u0131 aras\u0131ndaki korelasyonu d\u00f6nd\u00fcr\u00fcr. \u00d6rne\u011fin:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">1-6 aylardaki sat\u0131\u015flar\u0131n korelasyonu <strong>0,558742<\/strong> idi.<\/span><\/li>\n<li> <span style=\"color: #000000;\">2-7 aylardaki sat\u0131\u015f korelasyonu <strong>0,485855 idi.<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\">3-8 aylardaki sat\u0131\u015f korelasyonu <strong>0,693103 idi.<\/strong><\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Ve benzeri.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Yorumlar<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Bu \u00f6rneklerde kullan\u0131lan i\u015flevlerle ilgili baz\u0131 notlar\u0131 burada bulabilirsiniz:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Korelasyonlar\u0131n hesaplanabilmesi i\u00e7in <strong>geni\u015fli\u011fin<\/strong> (yani a\u00e7\u0131l\u0131r pencerenin) 3&#8217;e e\u015fit veya 3&#8217;ten b\u00fcy\u00fck olmas\u0131 gerekir.<\/span><\/li>\n<li> <span style=\"color: #000000;\">Rolling.corr() i\u015flevine ili\u015fkin t\u00fcm belgeleri <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.core.window.rolling.Rolling.corr.html\" target=\"_blank\" rel=\"noopener noreferrer\">burada<\/a> bulabilirsiniz.<\/span><\/li>\n<\/ul>\n<h3> <span style=\"color: #000000;\"><strong>Ek kaynaklar<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/tr\/rde-yuvarlanma-korelasyonu\/\" target=\"_blank\" rel=\"noopener noreferrer\">R&#8217;de kayan korelasyon nas\u0131l hesaplan\u0131r<\/a><br \/> <a href=\"https:\/\/statorials.org\/tr\/yuvarlanan-korelasyon-excel\/\" target=\"_blank\" rel=\"noopener noreferrer\">Excel&#8217;de Yuvarlanma Korelasyonu Nas\u0131l Hesaplan\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Yuvarlanan korelasyonlar, kayan bir pencere \u00fczerinde iki zaman serisi aras\u0131ndaki korelasyonlard\u0131r. Bu t\u00fcr bir korelasyonun faydalar\u0131ndan biri, iki zaman serisi aras\u0131ndaki korelasyonu zaman i\u00e7inde g\u00f6rselle\u015ftirebilmenizdir. Bu e\u011fitimde Python&#8217;da bir panda DataFrame i\u00e7in yuvarlanan korelasyonlar\u0131n nas\u0131l hesaplanaca\u011f\u0131 ve g\u00f6rselle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r. Pandalarda yuvarlanan korelasyonlar nas\u0131l hesaplan\u0131r 15 ayl\u0131k bir s\u00fcre boyunca iki farkl\u0131 \u00fcr\u00fcn ( x ve [&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-1171","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>Pandalarda yuvarlanma korelasyonu nas\u0131l hesaplan\u0131r: \u00f6rneklerle<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde Python&#039;da bir panda DataFrame&#039;i i\u00e7in kayan korelasyonun nas\u0131l hesaplanaca\u011f\u0131 bir \u00f6rnekle a\u00e7\u0131klanmaktad\u0131r.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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