{"id":3148,"date":"2023-07-18T23:54:12","date_gmt":"2023-07-18T23:54:12","guid":{"rendered":"https:\/\/statorials.org\/nl\/normale-logpython-distributie\/"},"modified":"2023-07-18T23:54:12","modified_gmt":"2023-07-18T23:54:12","slug":"normale-logpython-distributie","status":"publish","type":"post","link":"https:\/\/statorials.org\/nl\/normale-logpython-distributie\/","title":{"rendered":"Hoe log-normale distributie in python te gebruiken"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">U kunt de functie <a href=\"https:\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.stats.lognorm.html\" target=\"_blank\" rel=\"noopener\">lognorm()<\/a> van de <strong>SciPy-<\/strong> bibliotheek in Python gebruiken om een willekeurige variabele te genereren die een lognormale verdeling volgt.<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\">De volgende voorbeelden laten zien hoe u deze functie in de praktijk kunt gebruiken.<\/span><\/p>\n<h3> <strong>Hoe een lognormale verdeling te genereren<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">U kunt de volgende code gebruiken om een willekeurige variabele te genereren die een lognormale verdeling volgt met \u03bc = 1 en \u03c3 = 1:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> math\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n<span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #008000;\"><span style=\"color: #3366ff;\">stats<\/span> import<\/span> lognorm\n\n<span style=\"color: #008080;\">#make this example reproducible\n<\/span>n.p. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">seed<\/span> ( <span style=\"color: #008000;\">1<\/span> )\n\n<span style=\"color: #008080;\">#generate log-normal distributed random variable with 1000 values\n<\/span>lognorm_values = lognorm. <span style=\"color: #3366ff;\">rvs<\/span> (s= <span style=\"color: #008000;\">1<\/span> , scale=math. <span style=\"color: #3366ff;\">exp<\/span> ( <span style=\"color: #008000;\">1<\/span> ), size= <span style=\"color: #008000;\">1000<\/span> )\n\n<span style=\"color: #008080;\">#view first five values\n<\/span>lognorm_values[:5]\n\narray([13.79554017, 1.47438888, 1.60292205, 0.92963, 6.45856805])\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">Merk op dat in de functie <strong>lognorm.rvs()<\/strong> <strong>s<\/strong> de standaarddeviatie is en dat de waarde in <strong>math.exp()<\/strong> het gemiddelde is van de lognormale verdeling die u wilt genereren.<\/span><\/p>\n<p> <span style=\"color: #000000;\">In dit voorbeeld stellen we het gemiddelde in op <strong>1<\/strong> en de standaardafwijking ook op <strong>1<\/strong> .<\/span><\/p>\n<h3> <strong>Hoe een lognormale verdeling te plotten<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">We kunnen de volgende code gebruiken om een histogram te maken van de waarden van de log-normaal verdeelde willekeurige variabele die we in het vorige voorbeeld hebben gemaakt:<\/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\n<span style=\"color: #008080;\">#create histogram<\/span>\nplt. <span style=\"color: #3366ff;\">hist<\/span> (lognorm_values, density= <span style=\"color: #008000;\">True<\/span> , edgecolor=' <span style=\"color: #ff0000;\">black<\/span> ')\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-26765 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lognormepython1.jpg\" alt=\"\" width=\"575\" height=\"383\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">Matplotlib is standaard ingesteld op 10 bins in histogrammen, maar we kunnen dit aantal eenvoudig verhogen met behulp van het <strong>bins-<\/strong> argument.<\/span><\/p>\n<p> <span style=\"color: #000000;\">We kunnen het aantal bakken bijvoorbeeld verhogen naar 20:<\/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\n<span style=\"color: #008080;\">#create histogram<\/span>\nplt. <span style=\"color: #3366ff;\">hist<\/span> (lognorm_values, density= <span style=\"color: #008000;\">True<\/span> , edgecolor=' <span style=\"color: #ff0000;\">black<\/span> ', bins= <span style=\"color: #008000;\">20<\/span> )<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-26766\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lognormepython2.jpg\" alt=\"lognormale verdeling in Python\" width=\"579\" height=\"378\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">Hoe groter het aantal vakjes, hoe smaller de balken in het histogram zullen zijn.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Gerelateerd:<\/strong> <a href=\"https:\/\/statorials.org\/nl\/matplotlib-bin-grootte\/\" target=\"_blank\" rel=\"noopener\">Drie manieren om de opslaggrootte in Matplotlib-histogrammen aan te passen<\/a><\/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 andere kansverdelingen in Python kunt gebruiken:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/nl\/visverspreidingspython\/\" target=\"_blank\" rel=\"noopener\">Hoe de Poisson-distributie in Python te gebruiken<\/a><br \/> <a href=\"https:\/\/statorials.org\/nl\/exponentiele-distributiepython\/\" target=\"_blank\" rel=\"noopener\">Hoe exponenti\u00eble distributie in Python te gebruiken<\/a><br \/> <a href=\"https:\/\/statorials.org\/nl\/python-uniforme-distributie\/\" target=\"_blank\" rel=\"noopener\">Hoe uniforme distributie in Python te gebruiken<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>U kunt de functie lognorm() van de SciPy- bibliotheek in Python gebruiken om een willekeurige variabele te genereren die een lognormale verdeling volgt. De volgende voorbeelden laten zien hoe u deze functie in de praktijk kunt gebruiken. Hoe een lognormale verdeling te genereren U kunt de volgende code gebruiken om een willekeurige variabele te genereren [&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-3148","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 de log-normale verdeling in Python te gebruiken - Statorials<\/title>\n<meta name=\"description\" content=\"In deze tutorial wordt uitgelegd hoe je de lognormale distributie in Python gebruikt, 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\/normale-logpython-distributie\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Hoe de log-normale verdeling in Python te gebruiken - Statorials\" \/>\n<meta property=\"og:description\" content=\"In deze tutorial wordt uitgelegd hoe je de lognormale distributie in Python gebruikt, met verschillende voorbeelden.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/nl\/normale-logpython-distributie\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-18T23:54:12+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lognormepython1.jpg\" \/>\n<meta name=\"author\" content=\"Dr.benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Verfasst von\" \/>\n\t<meta name=\"twitter:data1\" content=\"Dr.benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Gesch\u00e4tzte Lesezeit\" \/>\n\t<meta name=\"twitter:data2\" content=\"2\u00a0Minuten\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/nl\/normale-logpython-distributie\/\",\"url\":\"https:\/\/statorials.org\/nl\/normale-logpython-distributie\/\",\"name\":\"Hoe de log-normale verdeling in Python te gebruiken - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/nl\/#website\"},\"datePublished\":\"2023-07-18T23:54:12+00:00\",\"dateModified\":\"2023-07-18T23:54:12+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/nl\/#\/schema\/person\/d4b8842173cca1bb62cdec41860e4219\"},\"description\":\"In deze tutorial wordt uitgelegd hoe je de lognormale distributie in Python gebruikt, met verschillende voorbeelden.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/nl\/normale-logpython-distributie\/#breadcrumb\"},\"inLanguage\":\"de\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/nl\/normale-logpython-distributie\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/nl\/normale-logpython-distributie\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Thuis\",\"item\":\"https:\/\/statorials.org\/nl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Hoe log-normale distributie in python te gebruiken\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/nl\/#website\",\"url\":\"https:\/\/statorials.org\/nl\/\",\"name\":\"Statorials\",\"description\":\"Uw gids voor statistische competentie\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/nl\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"de\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/nl\/#\/schema\/person\/d4b8842173cca1bb62cdec41860e4219\",\"name\":\"Dr.benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"de\",\"@id\":\"https:\/\/statorials.org\/nl\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/statorials.org\/nl\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"http:\/\/statorials.org\/nl\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Dr.benjamin anderson\"},\"description\":\"Ik ben Benjamin, een gepensioneerde hoogleraar statistiek die nu een toegewijde Statorials-lesgever is. 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