{"id":1598,"date":"2023-07-25T17:15:30","date_gmt":"2023-07-25T17:15:30","guid":{"rendered":"https:\/\/statorials.org\/pt\/tracar-distribuicao-normal-python\/"},"modified":"2023-07-25T17:15:30","modified_gmt":"2023-07-25T17:15:30","slug":"tracar-distribuicao-normal-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/pt\/tracar-distribuicao-normal-python\/","title":{"rendered":"Como tra\u00e7ar uma distribui\u00e7\u00e3o normal em python: com exemplos"},"content":{"rendered":"

<\/p>\n

\n

Para tra\u00e7ar uma distribui\u00e7\u00e3o normal<\/a> em Python, voc\u00ea pode usar a seguinte sintaxe:<\/span><\/p>\n

 #x-axis ranges from -3 and 3 with .001 steps\n<\/span>x = np. arange<\/span> (-3, 3, 0.001)\n\n#plot normal distribution with mean 0 and standard deviation 1\n<\/span>plt. plot<\/span> (x, norm. pdf<\/span> (x, 0, 1))\n<\/strong><\/pre>\n
 A matriz x<\/strong> define o intervalo do eixo x e plt.plot()<\/strong> produz a curva da distribui\u00e7\u00e3o normal com a m\u00e9dia e o desvio padr\u00e3o especificados.<\/span><\/p>\n
 Os exemplos a seguir mostram como usar essas fun\u00e7\u00f5es na pr\u00e1tica.<\/span><\/p>\n
 Exemplo 1: tra\u00e7ando uma \u00fanica distribui\u00e7\u00e3o normal<\/strong><\/span><\/h3>\n
 O c\u00f3digo a seguir mostra como tra\u00e7ar uma \u00fanica curva de distribui\u00e7\u00e3o normal com m\u00e9dia 0 e desvio padr\u00e3o de 1:<\/span> <\/p>\n
 import<\/span> numpy as<\/span> np\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nfrom<\/span> scipy. stats<\/span> import<\/span> norm\n\n#x-axis ranges from -3 and 3 with .001 steps\n<\/span>x = np. arange<\/span> (-3, 3, 0.001)\n\n#plot normal distribution with mean 0 and standard deviation 1\n<\/span>plt. plot<\/span> (x, norm. pdf<\/span> (x, 0, 1))<\/strong> <\/pre>\n
\"Distribui\u00e7\u00e3o<\/p>\n
 Voc\u00ea tamb\u00e9m pode alterar a cor e a largura da linha no gr\u00e1fico:<\/span> <\/p>\n
 plt. plot<\/span> (x, norm. pdf<\/span> (x, 0, 1), color=' red<\/span> ', linewidth= 3<\/span> )<\/strong> <\/pre>\n
\"\"<\/p>\n
 Exemplo 2: tra\u00e7ando m\u00faltiplas distribui\u00e7\u00f5es normais<\/strong><\/span><\/h3>\n
 O c\u00f3digo a seguir mostra como tra\u00e7ar m\u00faltiplas curvas de distribui\u00e7\u00e3o normal com diferentes m\u00e9dias e desvios padr\u00e3o:<\/span> <\/p>\n
 import<\/span> numpy as<\/span> np\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nfrom<\/span> scipy. stats<\/span> import<\/span> norm\n\n#x-axis ranges from -5 and 5 with .001 steps\n<\/span>x = np. arange<\/span> (-5, 5, 0.001)\n\n#define multiple normal distributions\n<\/span>plt. plot<\/span> (x, norm. pdf<\/span> (x, 0, 1), label=' \u03bc: 0, \u03c3: 1<\/span> ')\nplt. plot<\/span> (x, norm. pdf<\/span> (x, 0, 1.5), label=' \u03bc:0, \u03c3: 1.5<\/span> ')\nplt. plot<\/span> (x, norm. pdf<\/span> (x, 0, 2), label=' \u03bc:0, \u03c3: 2<\/span> ')\n\n#add legend to plot\n<\/span>plt. legend<\/span> ()<\/strong> <\/pre>\n
\"\"<\/p>\n
 Sinta-se \u00e0 vontade para alterar as cores das linhas e adicionar um t\u00edtulo e r\u00f3tulos de eixo para completar o gr\u00e1fico:<\/span> <\/p>\n
 import<\/span> numpy as<\/span> np\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nfrom<\/span> scipy. stats<\/span> import<\/span> norm\n\n#x-axis ranges from -5 and 5 with .001 steps\n<\/span>x = np. arange<\/span> (-5, 5, 0.001)\n\n#define multiple normal distributions\n<\/span>plt. plot<\/span> (x, norm. pdf<\/span> (x, 0, 1), label=' \u03bc: 0, \u03c3: 1<\/span> ', color=' gold<\/span> ')\nplt. plot<\/span> (x, norm. pdf<\/span> (x, 0, 1.5), label=' \u03bc:0, \u03c3: 1.5<\/span> ', color=' red<\/span> ')\nplt. plot<\/span> (x, norm. pdf<\/span> (x, 0, 2), label=' \u03bc:0, \u03c3: 2<\/span> ', color=' pink<\/span> ')\n\n#add legend to plot\n<\/span>plt. legend<\/span> (title=' Parameters<\/span> ')\n\n#add axes labels and a title\n<\/span>plt. ylabel<\/span> (' Density<\/span> ')\nplt. xlabel<\/span> (' x<\/span> ')\nplt. title<\/span> (' Normal Distributions<\/span> ', fontsize= 14<\/span> )<\/strong> <\/pre>\n
\"\"<\/p>\n
 Consulte a documenta\u00e7\u00e3o do matplotlib<\/a> para uma explica\u00e7\u00e3o detalhada da fun\u00e7\u00e3o plt.plot()<\/strong> .<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
Para tra\u00e7ar uma distribui\u00e7\u00e3o normal em Python, voc\u00ea pode usar a seguinte sintaxe: #x-axis ranges from -3 and 3 with .001 steps x = np. arange (-3, 3, 0.001) #plot normal distribution with mean 0 and standard deviation 1 plt. plot (x, norm. pdf (x, 0, 1)) A matriz x define o intervalo do eixo […]<\/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-1598","post","type-post","status-publish","format-standard","hentry","category-guia"],"yoast_head":"\nComo tra\u00e7ar uma distribui\u00e7\u00e3o normal em Python: com exemplos<\/title>\n<meta name=\"description\" content=\"Este tutorial explica como tra\u00e7ar 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\/tracar-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 tra\u00e7ar uma distribui\u00e7\u00e3o normal em Python: com exemplos\" \/>\n<meta property=\"og:description\" content=\"Este tutorial explica como tra\u00e7ar uma distribui\u00e7\u00e3o normal em Python, com v\u00e1rios exemplos.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pt\/tracar-distribuicao-normal-python\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-25T17:15:30+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/normaldistpython1.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\/tracar-distribuicao-normal-python\/\",\"url\":\"https:\/\/statorials.org\/pt\/tracar-distribuicao-normal-python\/\",\"name\":\"Como tra\u00e7ar uma distribui\u00e7\u00e3o normal em Python: com exemplos\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pt\/#website\"},\"datePublished\":\"2023-07-25T17:15:30+00:00\",\"dateModified\":\"2023-07-25T17:15:30+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pt\/#\/schema\/person\/e08f98e8db95e0aa9c310e1b27c9c666\"},\"description\":\"Este tutorial explica como tra\u00e7ar uma distribui\u00e7\u00e3o normal em Python, com v\u00e1rios exemplos.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pt\/tracar-distribuicao-normal-python\/#breadcrumb\"},\"inLanguage\":\"pt-PT\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pt\/tracar-distribuicao-normal-python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pt\/tracar-distribuicao-normal-python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Lar\",\"item\":\"https:\/\/statorials.org\/pt\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Como tra\u00e7ar 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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