{"id":2380,"date":"2023-07-22T12:53:04","date_gmt":"2023-07-22T12:53:04","guid":{"rendered":"https:\/\/statorials.org\/pt\/pandas-largos-a-longos\/"},"modified":"2023-07-22T12:53:04","modified_gmt":"2023-07-22T12:53:04","slug":"pandas-largos-a-longos","status":"publish","type":"post","link":"https:\/\/statorials.org\/pt\/pandas-largos-a-longos\/","title":{"rendered":"Pandas: como remodelar o dataframe de largo para longo"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Voc\u00ea pode usar a seguinte sintaxe b\u00e1sica para converter um DataFrame do pandas de um formato amplo para um formato longo:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df = pd. <span style=\"color: #3366ff;\">melt<\/span> (df, id_vars=' <span style=\"color: #ff0000;\">col1<\/span> ', value_vars=[' <span style=\"color: #ff0000;\">col2<\/span> ', ' <span style=\"color: #ff0000;\">col3<\/span> ', ...])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Neste cen\u00e1rio, <strong>col1<\/strong> \u00e9 a coluna que usamos como identificador e <strong>col2<\/strong> , <strong>col3<\/strong> , etc. s\u00e3o as colunas cujo piv\u00f4 desfazemos.<\/span><\/p>\n<p> <span style=\"color: #000000;\">O exemplo a seguir mostra como usar essa sintaxe na pr\u00e1tica.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Exemplo: remodelar o DataFrame do Pandas de largo para longo<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Suponha que temos o seguinte DataFrame do pandas:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame\n<span style=\"color: #000000;\">df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'B', 'C', 'D'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [88, 91, 99, 94],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [12, 17, 24, 28],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [22, 28, 30, 31]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n\tteam points assists rebounds\n0 A 88 12 22\n1 B 91 17 28\n2 C 99 24 30\n3 D 94 28 31<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Podemos usar a seguinte sintaxe para remodelar este DataFrame de um formato amplo para um formato longo:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#reshape DataFrame from wide format to long format\n<span style=\"color: #000000;\">df = pd. <span style=\"color: #3366ff;\">melt<\/span> (df, id_vars=' <span style=\"color: #ff0000;\">team<\/span> ', value_vars=[' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">assists<\/span> ', ' <span style=\"color: #ff0000;\">rebounds<\/span> '])\n<\/span>\n#view updated DataFrame\n<span style=\"color: #000000;\">df\n\n\tteam variable value\n0 A points<\/span> <span style=\"color: #000000;\">88\n1 B points<\/span> <span style=\"color: #000000;\">91\n2 C dots<\/span> <span style=\"color: #000000;\">9<\/span> <span style=\"color: #000000;\">9\n3 D dots<\/span> <span style=\"color: #000000;\">94\n4 A assists<\/span> <span style=\"color: #000000;\">12\n5 B assists<\/span> <span style=\"color: #000000;\">17\n6 C assists<\/span> <span style=\"color: #000000;\">24\n7 D assists<\/span> <span style=\"color: #000000;\">28\n8 A rebounds 22\n9 B rebounds 28\n10 C rebounds 30\n11 D rebounds 31<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">O DataFrame agora est\u00e1 em formato longo.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Usamos a coluna \u201cequipe\u201d como coluna de identifica\u00e7\u00e3o e destorcemos as colunas \u201cpontos\u201d, \u201cassist\u00eancias\u201d e \u201crebotes\u201d.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Observe que tamb\u00e9m podemos usar os argumentos <strong>var_name<\/strong> e <strong>value_name<\/strong> para especificar os nomes das colunas no novo DataFrame longo:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#reshape DataFrame from wide format to long format\n<\/span>df = pd. <span style=\"color: #3366ff;\">melt<\/span> (df, id_vars=' <span style=\"color: #ff0000;\">team<\/span> ', value_vars=[' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">assists<\/span> ', ' <span style=\"color: #ff0000;\">rebounds<\/span> '],\n             var_name=' <span style=\"color: #ff0000;\">metric<\/span> ', value_name=' <span style=\"color: #ff0000;\">amount<\/span> ')\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span>df\n\n\tteam metric amount\n0 A points 88\n1 B points 91\n2 C points 99\n3 D dots 94\n4 A assists 12\n5 B assists 17\n6 C assists 24\n7 D assists 28\n8 A rebounds 22\n9 B rebounds 28\n10 C rebounds 30\n11 D rebounds 31<\/span>\n<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Nota<\/strong> : Voc\u00ea pode encontrar a documenta\u00e7\u00e3o completa da fun\u00e7\u00e3o pandas <strong>melt()<\/strong> <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.melt.html\" target=\"_blank\" rel=\"noopener\">aqui<\/a> .<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Recursos adicionais<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Os tutoriais a seguir explicam como realizar outras opera\u00e7\u00f5es comuns em Python:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/pt\/pandas-adiciona-linha-ao-dataframe\/\" target=\"_blank\" rel=\"noopener\">Como adicionar linhas a um DataFrame do Pandas<\/a><br \/> Como adicionar colunas a um DataFrame do Pandas<br \/> <a href=\"https:\/\/statorials.org\/pt\/pandas-conta-valor-especifico-na-coluna\/\" target=\"_blank\" rel=\"noopener\">Como contar ocorr\u00eancias de valores espec\u00edficos no Pandas DataFrame<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Voc\u00ea pode usar a seguinte sintaxe b\u00e1sica para converter um DataFrame do pandas de um formato amplo para um formato longo: df = pd. melt (df, id_vars=&#8217; col1 &#8216;, value_vars=[&#8216; col2 &#8216;, &#8216; col3 &#8216;, &#8230;]) Neste cen\u00e1rio, col1 \u00e9 a coluna que usamos como identificador e col2 , col3 , etc. s\u00e3o as colunas [&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-2380","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>Pandas: Como remodelar o DataFrame de largo para longo - Estatologia<\/title>\n<meta name=\"description\" content=\"Este tutorial explica como remodelar um DataFrame do pandas de um formato amplo para um formato longo, com um exemplo.\" \/>\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\/pandas-largos-a-longos\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: Como remodelar o DataFrame de largo para longo - Estatologia\" \/>\n<meta property=\"og:description\" content=\"Este tutorial explica como remodelar um DataFrame do pandas de um formato amplo para um formato longo, com um exemplo.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pt\/pandas-largos-a-longos\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-22T12:53:04+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\/pandas-largos-a-longos\/\",\"url\":\"https:\/\/statorials.org\/pt\/pandas-largos-a-longos\/\",\"name\":\"Pandas: Como remodelar o DataFrame de largo para longo - Estatologia\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pt\/#website\"},\"datePublished\":\"2023-07-22T12:53:04+00:00\",\"dateModified\":\"2023-07-22T12:53:04+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pt\/#\/schema\/person\/e08f98e8db95e0aa9c310e1b27c9c666\"},\"description\":\"Este tutorial explica como remodelar um DataFrame do pandas de um formato amplo para um formato longo, com um exemplo.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pt\/pandas-largos-a-longos\/#breadcrumb\"},\"inLanguage\":\"pt-PT\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pt\/pandas-largos-a-longos\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pt\/pandas-largos-a-longos\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Lar\",\"item\":\"https:\/\/statorials.org\/pt\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Pandas: como remodelar o dataframe de largo para longo\"}]},{\"@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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