{"id":2265,"date":"2023-07-23T00:45:44","date_gmt":"2023-07-23T00:45:44","guid":{"rendered":"https:\/\/statorials.org\/nl\/best-passende-pythonlijn\/"},"modified":"2023-07-23T00:45:44","modified_gmt":"2023-07-23T00:45:44","slug":"best-passende-pythonlijn","status":"publish","type":"post","link":"https:\/\/statorials.org\/nl\/best-passende-pythonlijn\/","title":{"rendered":"Hoe u de beste pasvorm in python tekent (met voorbeelden)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">U kunt de volgende basissyntaxis gebruiken om een best passende lijn in Python te tekenen:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#find line of best fit\n<\/span>a, b = np. <span style=\"color: #3366ff;\">polyfit<\/span> (x, y, 1)\n\n<span style=\"color: #008080;\">#add points to plot<\/span>\nplt. <span style=\"color: #3366ff;\">scatter<\/span> (x,y)\n\n<span style=\"color: #008080;\">#add line of best fit to plot\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (x, a*x+b)\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Het volgende voorbeeld laat zien hoe u deze syntaxis in de praktijk kunt gebruiken.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Voorbeeld 1: De best passende basislijn in Python uitzetten<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">De volgende code laat zien hoe u een best passende basislijn tekent in Python:<\/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> numpy <span style=\"color: #008000;\">as<\/span> np\n<span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#define data\n<\/span>x = np. <span style=\"color: #3366ff;\">array<\/span> ([1, 2, 3, 4, 5, 6, 7, 8])\ny = np. <span style=\"color: #3366ff;\">array<\/span> ([2, 5, 6, 7, 9, 12, 16, 19])\n\n<span style=\"color: #008080;\">#find line of best fit\n<\/span>a, b = np. <span style=\"color: #3366ff;\">polyfit<\/span> (x, y, 1)\n\n<span style=\"color: #008080;\">#add points to plot\n<\/span>plt. <span style=\"color: #3366ff;\">scatter<\/span> (x,y)\n\n<span style=\"color: #008080;\">#add line of best fit to plot\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (x, a*x+b)<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-20650\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lignemeilleur1.png\" alt=\"best passende lijn in Python\" width=\"533\" height=\"343\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Voorbeeld 2: De best passende aangepaste lijn tekenen in Python<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">De volgende code laat zien hoe u dezelfde best passende lijn kunt maken als in het vorige voorbeeld, met de volgende toevoegingen:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Aangepaste kleuren voor punten en best passende lijn<\/span><\/li>\n<li> <span style=\"color: #000000;\">Aangepaste stijl en breedte voor de best passende lijn<\/span><\/li>\n<li> <span style=\"color: #000000;\">De vergelijking van de aangepaste regressielijn die op de grafiek wordt weergegeven<\/span> <\/li>\n<\/ul>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n<span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#define data\n<\/span>x = np. <span style=\"color: #3366ff;\">array<\/span> ([1, 2, 3, 4, 5, 6, 7, 8])\ny = np. <span style=\"color: #3366ff;\">array<\/span> ([2, 5, 6, 7, 9, 12, 16, 19])\n\n<span style=\"color: #008080;\">#find line of best fit\n<\/span>a, b = np. <span style=\"color: #3366ff;\">polyfit<\/span> (x, y, 1)\n\n<span style=\"color: #008080;\">#add points to plot\n<\/span>plt. <span style=\"color: #3366ff;\">scatter<\/span> (x,y,color=' <span style=\"color: #ff0000;\">purple<\/span> ')\n\n<span style=\"color: #008080;\">#add line of best fit to plot\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (x, a*x+b, color=' <span style=\"color: #ff0000;\">steelblue<\/span> ', linestyle=' <span style=\"color: #ff0000;\">--<\/span> ', linewidth= <span style=\"color: #008000;\">2<\/span> )\n\n<span style=\"color: #008080;\">#add fitted regression equation to plot\n<\/span>plt. <span style=\"color: #3366ff;\">text<\/span> (1, 17, 'y = ' + '{:.2f}'. <span style=\"color: #3366ff;\">format<\/span> (b) + ' + {:.2f}'. <span style=\"color: #3366ff;\">format<\/span> (a) + 'x', size= <span style=\"color: #008000;\">14<\/span> )<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-20651\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lignemeilleur2.png\" alt=\"teken de best passende lijn voor regressievergelijking in Python\" width=\"552\" height=\"361\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">Voel je vrij om de gepaste regressievergelijking in de gewenste <strong>(x,y)<\/strong> -co\u00f6rdinaten op de plot te plaatsen.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Voor dit specifieke voorbeeld hebben we gekozen voor (x, y) = (1, 17).<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Aanvullende bronnen<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">In de volgende tutorials wordt uitgelegd hoe u verschillende regressiemodellen in Python kunt passen:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/nl\/lineaire-regressiepython\/\" target=\"_blank\" rel=\"noopener\">Een complete gids voor lineaire regressie in Python<\/a><br \/> <a href=\"https:\/\/statorials.org\/nl\/polynomiale-regressiepython\/\" target=\"_blank\" rel=\"noopener\">Hoe polynomiale regressie uit te voeren in Python<\/a><br \/> <a href=\"https:\/\/statorials.org\/nl\/kwantielregressie-in-python\/\" target=\"_blank\" rel=\"noopener\">Hoe kwantielregressie uit te voeren in Python<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>U kunt de volgende basissyntaxis gebruiken om een best passende lijn in Python te tekenen: #find line of best fit a, b = np. polyfit (x, y, 1) #add points to plot plt. scatter (x,y) #add line of best fit to plot plt. plot (x, a*x+b) Het volgende voorbeeld laat zien hoe u deze syntaxis [&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-2265","post","type-post","status-publish","format-standard","hentry","category-gids"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Hoe u de beste pasvorm in Python tekent (met voorbeelden) - Statorials<\/title>\n<meta name=\"description\" content=\"In deze tutorial wordt uitgelegd hoe je de best passende lijn in Python tekent, met verschillende voorbeelden.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/nl\/best-passende-pythonlijn\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" 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