{"id":1146,"date":"2023-07-27T12:20:32","date_gmt":"2023-07-27T12:20:32","guid":{"rendered":"https:\/\/statorials.org\/pt\/gerar-distribuicao-normal-python\/"},"modified":"2023-07-27T12:20:32","modified_gmt":"2023-07-27T12:20:32","slug":"gerar-distribuicao-normal-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/pt\/gerar-distribuicao-normal-python\/","title":{"rendered":"Como gerar uma distribui\u00e7\u00e3o normal em python (com exemplos)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Voc\u00ea pode gerar rapidamente uma <a href=\"https:\/\/statorials.org\/pt\/a-distribuicao-normal\/\" target=\"_blank\" rel=\"noopener noreferrer\">distribui\u00e7\u00e3o normal<\/a> em Python usando a fun\u00e7\u00e3o <b>numpy.random.normal()<\/b> , que usa a seguinte sintaxe:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>numpy. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">normal<\/span> (loc=0.0, scale=1.0, size=None)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Ouro:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>loc:<\/strong> M\u00e9dia da distribui\u00e7\u00e3o. O valor padr\u00e3o \u00e9 0.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>escala:<\/strong> Desvio padr\u00e3o da distribui\u00e7\u00e3o. O valor padr\u00e3o \u00e9 1.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>tamanho:<\/strong> tamanho da amostra.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Este tutorial mostra um exemplo de uso desta fun\u00e7\u00e3o para gerar uma distribui\u00e7\u00e3o normal em Python.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Relacionado:<\/strong><a href=\"https:\/\/statorials.org\/pt\/curva-de-sino-python\/\" target=\"_blank\" rel=\"noopener noreferrer\">Como criar uma curva em forma de sino em Python<\/a><\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Exemplo: Gerando uma Distribui\u00e7\u00e3o Normal em Python<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">O c\u00f3digo a seguir mostra como gerar uma distribui\u00e7\u00e3o normal em 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;\">from<\/span> numpy. <span style=\"color: #3366ff;\">random<\/span> <span style=\"color: #008000;\">import<\/span> seed\n<span style=\"color: #008000;\">from<\/span> numpy. <span style=\"color: #3366ff;\">random<\/span> <span style=\"color: #008000;\">import<\/span> normal<\/span>\n\n#make this example reproducible\n<span style=\"color: #000000;\">seed(1)\n\n<span style=\"color: #008080;\">#generate sample of 200 values that follow a normal distribution \n<\/span>data = <span style=\"color: #3366ff;\">normal<\/span> (loc=0, scale=1, size=200)\n\n<span style=\"color: #008080;\">#view first six values\n<\/span>data[0:5]<\/span><\/span>\n\narray([ 1.62434536, -0.61175641, -0.52817175, -1.07296862, 0.86540763])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Podemos encontrar rapidamente a m\u00e9dia e o desvio padr\u00e3o desta distribui\u00e7\u00e3o:<\/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<\/span>\n\n#find mean of sample\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">mean<\/span> (data)\n\n0.1066888148479486\n<\/span>\n#find standard deviation of sample\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">std<\/span> (data, ddof= <span style=\"color: #008000;\">1<\/span> )\n\n0.9123296653173484\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Tamb\u00e9m podemos criar um histograma r\u00e1pido para visualizar a distribui\u00e7\u00e3o dos valores dos dados:<\/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> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\ncount, bins, ignored = plt. <span style=\"color: #3366ff;\">hist<\/span> (data, 30)\nplt. <span style=\"color: #3366ff;\">show<\/span> ()\n<\/span><\/span><\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11498 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/gennormpython1.png\" alt=\"Gere uma distribui\u00e7\u00e3o normal em Python\" width=\"420\" height=\"277\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">Podemos at\u00e9 realizar um <a href=\"https:\/\/statorials.org\/pt\/shapiro-wilk-teste-python\/\" target=\"_blank\" rel=\"noopener noreferrer\">teste de Shapiro-Wilk<\/a> para ver se o conjunto de dados vem de uma popula\u00e7\u00e3o normal:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #3366ff;\">stats<\/span> <span style=\"color: #008000;\">import<\/span> shapiro\n\n<span style=\"color: #008080;\">#perform Shapiro-Wilk test\n<\/span>shapiro(data)\n\nShapiroResult(statistic=0.9958659410, pvalue=0.8669294714)\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">O valor p do teste acabou sendo <strong>0,8669<\/strong> . Como este valor n\u00e3o \u00e9 inferior a 0,05, podemos assumir que os dados amostrais prov\u00eam de uma popula\u00e7\u00e3o normalmente distribu\u00edda.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Este resultado n\u00e3o deve ser surpreendente, pois geramos os dados usando a fun\u00e7\u00e3o <strong>numpy.random.normal()<\/strong> , que gera uma amostra aleat\u00f3ria de dados de uma distribui\u00e7\u00e3o normal.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Voc\u00ea pode gerar rapidamente uma distribui\u00e7\u00e3o normal em Python usando a fun\u00e7\u00e3o numpy.random.normal() , que usa a seguinte sintaxe: numpy. random . normal (loc=0.0, scale=1.0, size=None) Ouro: loc: M\u00e9dia da distribui\u00e7\u00e3o. O valor padr\u00e3o \u00e9 0. escala: Desvio padr\u00e3o da distribui\u00e7\u00e3o. O valor padr\u00e3o \u00e9 1. tamanho: tamanho da amostra. Este tutorial mostra um exemplo [&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-1146","post","type-post","status-publish","format-standard","hentry","category-guia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Como gerar uma distribui\u00e7\u00e3o normal em Python (com exemplos)<\/title>\n<meta name=\"description\" content=\"Este tutorial explica como gerar uma distribui\u00e7\u00e3o normal em Python, com v\u00e1rios exemplos.\" \/>\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\/pt\/gerar-distribuicao-normal-python\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Como gerar uma distribui\u00e7\u00e3o normal em Python (com exemplos)\" \/>\n<meta property=\"og:description\" content=\"Este tutorial explica como gerar uma distribui\u00e7\u00e3o normal em Python, com v\u00e1rios exemplos.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pt\/gerar-distribuicao-normal-python\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-27T12:20:32+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/gennormpython1.png\" \/>\n<meta name=\"author\" content=\"Dr. benjamim anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"Dr. benjamim anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tempo estimado de leitura\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/pt\/gerar-distribuicao-normal-python\/\",\"url\":\"https:\/\/statorials.org\/pt\/gerar-distribuicao-normal-python\/\",\"name\":\"Como gerar uma distribui\u00e7\u00e3o normal em Python (com exemplos)\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pt\/#website\"},\"datePublished\":\"2023-07-27T12:20:32+00:00\",\"dateModified\":\"2023-07-27T12:20:32+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pt\/#\/schema\/person\/e08f98e8db95e0aa9c310e1b27c9c666\"},\"description\":\"Este tutorial explica como gerar uma distribui\u00e7\u00e3o normal em Python, com v\u00e1rios exemplos.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pt\/gerar-distribuicao-normal-python\/#breadcrumb\"},\"inLanguage\":\"pt-PT\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pt\/gerar-distribuicao-normal-python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pt\/gerar-distribuicao-normal-python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Lar\",\"item\":\"https:\/\/statorials.org\/pt\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Como gerar uma distribui\u00e7\u00e3o normal em python (com exemplos)\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/pt\/#website\",\"url\":\"https:\/\/statorials.org\/pt\/\",\"name\":\"Statorials\",\"description\":\"O seu guia para a literacia estat\u00edstica!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/pt\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"pt-PT\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/pt\/#\/schema\/person\/e08f98e8db95e0aa9c310e1b27c9c666\",\"name\":\"Dr. benjamim anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-PT\",\"@id\":\"https:\/\/statorials.org\/pt\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/pt\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/pt\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Dr. benjamim anderson\"},\"description\":\"Ol\u00e1, sou Benjamin, um professor aposentado de estat\u00edstica que se tornou professor dedicado na Statorials. 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