{"id":901,"date":"2023-07-28T09:10:08","date_gmt":"2023-07-28T09:10:08","guid":{"rendered":"https:\/\/statorials.org\/pt\/digitalizar-numpy\/"},"modified":"2023-07-28T09:10:08","modified_gmt":"2023-07-28T09:10:08","slug":"digitalizar-numpy","status":"publish","type":"post","link":"https:\/\/statorials.org\/pt\/digitalizar-numpy\/","title":{"rendered":"Como agrupar vari\u00e1veis em python usando numpy.digitize()"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Muitas vezes voc\u00ea pode estar interessado em colocar os valores de uma vari\u00e1vel em \u201ccaixas\u201d em Python.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Felizmente, isso \u00e9 f\u00e1cil de fazer usando a fun\u00e7\u00e3o <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.digitize.html\" target=\"_blank\" rel=\"noopener\">numpy.digitize()<\/a> , que usa a seguinte sintaxe:<br \/><\/span><\/p>\n<p> <strong><span style=\"color: #000000;\">numpy.digitize(x, caixas, direita=Falso)<\/span><\/strong><\/p>\n<p> <span style=\"color: #000000;\">Ouro:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>x:<\/strong> array para agrupar.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>bins:<\/strong> matriz de bins.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>direita:<\/strong> indica se os intervalos incluem a borda direita ou esquerda da caixa. Por padr\u00e3o, o intervalo n\u00e3o inclui a borda direita.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Este tutorial mostra v\u00e1rios exemplos de uso pr\u00e1tico desta fun\u00e7\u00e3o.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Exemplo 1: Coloque todos os valores em duas caixas<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">O c\u00f3digo a seguir mostra como colocar os valores de um array em dois compartimentos:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>0<\/strong> se x &lt; 20<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>1<\/strong> se x \u2265 20<\/span><\/li>\n<\/ul>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create data<\/span>\ndata = [2, 4, 4, 7, 12, 14, 19, 20, 24, 31, 34]\n\n<span style=\"color: #008080;\">#place values into bins\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">digitize<\/span> (data, bins=[20])\n\narray([0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1])\n<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Exemplo 2: Coloque todos os valores em tr\u00eas compartimentos<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">O c\u00f3digo a seguir mostra como colocar os valores de um array em tr\u00eas compartimentos:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>0<\/strong> se x &lt; 10<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>1<\/strong> se 10 \u2264 x &lt; 20<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>2<\/strong> se x \u2265 20<\/span><\/li>\n<\/ul>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create data<\/span>\ndata = [2, 4, 4, 7, 12, 14, 20, 22, 24, 31, 34]\n\n<span style=\"color: #008080;\">#place values into bins\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">digitize<\/span> (data, bins=[10, 20])\n\narray([0, 0, 0, 0, 1, 1, 2, 2, 2, 2, 2])<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Observe que se especificarmos right= <strong>True<\/strong> ent\u00e3o os valores ser\u00e3o colocados nas seguintes caixas:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>0<\/strong> se x \u2264 10<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>1<\/strong> se 10 &lt; x \u2264 20<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>2<\/strong> se x &gt; 20<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Cada intervalo incluiria a borda direita da caixa. Isto \u00e9 o que parece:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createdata<\/span>\ndata = [2, 4, 4, 7, 12, 14, 20, 22, 24, 31, 34]\n\n<span style=\"color: #008080;\">#place values into bins\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">digitize<\/span> (data, bins=[10, 20], right= <span style=\"color: #008000;\">True<\/span> )\n\narray([0, 0, 0, 0, 1, 1, 1, 2, 2, 2, 2])<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Exemplo 3: Coloque todos os valores em quatro caixas<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">O c\u00f3digo a seguir mostra como colocar os valores de um array em tr\u00eas compartimentos:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>0<\/strong> se x &lt; 10<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>1<\/strong> se 10 \u2264 x &lt; 20<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>2<\/strong> se 20 \u2264 x &lt; 30<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>3<\/strong> se x \u2265 30<\/span><\/li>\n<\/ul>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createdata<\/span>\ndata = [2, 4, 4, 7, 12, 14, 20, 22, 24, 31, 34]\n\n<span style=\"color: #008080;\">#place values into bins\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">digitize<\/span> (data, bins=[10, 20, 30])\n\narray([0, 0, 0, 0, 1, 1, 2, 2, 2, 3, 3])\n<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Exemplo 4: conte a frequ\u00eancia de cada compartimento<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Outra fun\u00e7\u00e3o NumPy \u00fatil que complementa a fun\u00e7\u00e3o numpy.digitize() \u00e9 a fun\u00e7\u00e3o <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.bincount.html#numpy.bincount\" target=\"_blank\" rel=\"noopener\">numpy.bincount()<\/a> , que conta as frequ\u00eancias de cada compartimento.<\/span><\/p>\n<p> <span style=\"color: #000000;\">O c\u00f3digo a seguir mostra como colocar os valores de um array em tr\u00eas grupos e depois contar a frequ\u00eancia de cada grupo:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createdata<\/span>\ndata = [2, 4, 4, 7, 12, 14, 20, 22, 24, 31, 34]\n\n<span style=\"color: #008080;\">#place values into bins\n<span style=\"color: #000000;\">bin_data = np. <span style=\"color: #3366ff;\">digitize<\/span> (data, bins=[10, 20])\n\n<span style=\"color: #008080;\">#view binned data<\/span>\nbin_data\n\narray([0, 0, 0, 0, 1, 1, 2, 2, 2, 2, 2])\n\n<span style=\"color: #008080;\">#count frequency of each bin\n<span style=\"color: #000000;\">n.p. <span style=\"color: #3366ff;\">bincount<\/span> (bin_data)\n\narray([4, 2, 5])\n<\/span><\/span><\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">A sa\u00edda nos diz que:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">O bin \u201c0\u201d cont\u00e9m <strong>4<\/strong> valores de dados.<\/span><\/li>\n<li> <span style=\"color: #000000;\">O compartimento \u201c1\u201d cont\u00e9m <strong>2<\/strong> valores de dados.<\/span><\/li>\n<li> <span style=\"color: #000000;\">O compartimento \u201c2\u201d cont\u00e9m <strong>5<\/strong> valores de dados.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><em><span style=\"color: #000000;\">Encontre mais tutoriais de Python <a href=\"https:\/\/statorials.org\/pt\/estatologia-explica-conceitos-de-forma-simples-e-direta-facilitamos-o-aprendizado-de-estatistica\/\" target=\"_blank\" rel=\"noopener\">aqui<\/a> .<\/span><\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Muitas vezes voc\u00ea pode estar interessado em colocar os valores de uma vari\u00e1vel em \u201ccaixas\u201d em Python. Felizmente, isso \u00e9 f\u00e1cil de fazer usando a fun\u00e7\u00e3o numpy.digitize() , que usa a seguinte sintaxe: numpy.digitize(x, caixas, direita=Falso) Ouro: x: array para agrupar. bins: matriz de bins. direita: indica se os intervalos incluem a borda direita ou [&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-901","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 agrupar vari\u00e1veis em Python usando numpy.digitize() - Estatoriais<\/title>\n<meta name=\"description\" content=\"Uma explica\u00e7\u00e3o simples sobre como agrupar vari\u00e1veis em Python usando a fun\u00e7\u00e3o numpy.digitize().\" \/>\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\/digitalizar-numpy\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Como agrupar vari\u00e1veis em Python usando numpy.digitize() - Estatoriais\" \/>\n<meta property=\"og:description\" content=\"Uma explica\u00e7\u00e3o simples sobre como agrupar vari\u00e1veis em Python usando a fun\u00e7\u00e3o numpy.digitize().\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pt\/digitalizar-numpy\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T09:10:08+00:00\" \/>\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\/digitalizar-numpy\/\",\"url\":\"https:\/\/statorials.org\/pt\/digitalizar-numpy\/\",\"name\":\"Como agrupar vari\u00e1veis em Python usando numpy.digitize() - Estatoriais\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pt\/#website\"},\"datePublished\":\"2023-07-28T09:10:08+00:00\",\"dateModified\":\"2023-07-28T09:10:08+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pt\/#\/schema\/person\/e08f98e8db95e0aa9c310e1b27c9c666\"},\"description\":\"Uma explica\u00e7\u00e3o simples sobre como agrupar vari\u00e1veis em Python usando a fun\u00e7\u00e3o numpy.digitize().\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pt\/digitalizar-numpy\/#breadcrumb\"},\"inLanguage\":\"pt-PT\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pt\/digitalizar-numpy\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pt\/digitalizar-numpy\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Lar\",\"item\":\"https:\/\/statorials.org\/pt\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Como agrupar vari\u00e1veis em python usando numpy.digitize()\"}]},{\"@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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