{"id":1656,"date":"2023-07-25T12:06:20","date_gmt":"2023-07-25T12:06:20","guid":{"rendered":"https:\/\/statorials.org\/pt\/manhattan-python-remoto\/"},"modified":"2023-07-25T12:06:20","modified_gmt":"2023-07-25T12:06:20","slug":"manhattan-python-remoto","status":"publish","type":"post","link":"https:\/\/statorials.org\/pt\/manhattan-python-remoto\/","title":{"rendered":"Como calcular a dist\u00e2ncia de manhattan em python (com exemplos)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">A <strong>dist\u00e2ncia de Manhattan<\/strong> entre dois vetores, <em>A<\/em> e <em>B<\/em> , \u00e9 calculada da seguinte forma:<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u03a3|A <sub>i<\/sub> \u2013 B <sub>i<\/sub> |<\/span><\/p>\n<p> <span style=\"color: #000000;\">onde <em>i<\/em> \u00e9 o i- <sup>\u00e9simo<\/sup> elemento de cada vetor.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Essa dist\u00e2ncia \u00e9 usada para medir a dissimilaridade entre dois vetores e \u00e9 comumente usada em muitos <a href=\"https:\/\/statorials.org\/pt\/estatologia-explica-conceitos-de-forma-simples-e-direta-facilitamos-o-aprendizado-de-estatistica\/\" target=\"_blank\" rel=\"noopener noreferrer\">algoritmos de aprendizado de m\u00e1quina<\/a> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Este tutorial mostra duas maneiras de calcular a dist\u00e2ncia de Manhattan entre dois vetores em Python.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>M\u00e9todo 1: escrever uma fun\u00e7\u00e3o personalizada<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">O c\u00f3digo a seguir mostra como criar uma fun\u00e7\u00e3o personalizada para calcular a dist\u00e2ncia de Manhattan entre dois vetores em Python:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> math <span style=\"color: #008000;\">import<\/span> sqrt\n\n<span style=\"color: #008080;\">#create function to calculate Manhattan distance<\/span> \n<span style=\"color: #008000;\">def<\/span> manhattan(a, b):\n    <span style=\"color: #008000;\">return<\/span> <span style=\"color: #3366ff;\">sum<\/span> ( <span style=\"color: #3366ff;\">abs<\/span> (val1-val2) <span style=\"color: #008000;\">for<\/span> val1, val2 <span style=\"color: #008000;\">in<\/span> <span style=\"color: #3366ff;\">zip<\/span> (a,b))\n \n<span style=\"color: #008080;\">#definevectors\n<\/span>A = [2, 4, 4, 6]\nB = [5, 5, 7, 8]\n\n<span style=\"color: #008080;\">#calculate Manhattan distance between vectors\n<\/span>manhattan(A,B)\n\n9<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">A dist\u00e2ncia de Manhattan entre esses dois vetores \u00e9 <strong>9<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Podemos confirmar que isso est\u00e1 correto calculando rapidamente a dist\u00e2ncia at\u00e9 Manhattan manualmente:<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u03a3|A <sub>i<\/sub> \u2013 B <sub>i<\/sub> | = |2-5| + |4-5| + |4-7| + |6-8| = 3 + 1 + 3 + 2 = <strong>9<\/strong> .<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>M\u00e9todo 2: use a fun\u00e7\u00e3o cityblock()<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Outra forma de calcular a dist\u00e2ncia de Manhattan entre dois vetores \u00e9 usar a fun\u00e7\u00e3o <a href=\"https:\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.spatial.distance.cityblock.html\" target=\"_blank\" rel=\"noopener\">cityblock()<\/a> do pacote SciPy:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #3366ff;\">spatial<\/span> . <span style=\"color: #3366ff;\">distance<\/span> <span style=\"color: #008000;\">import<\/span> cityblock\n\n<span style=\"color: #008080;\">#definevectors\n<\/span>A = [2, 4, 4, 6]\nB = [5, 5, 7, 8]\n\n<span style=\"color: #008080;\">#calculate Manhattan distance between vectors\n<\/span>cityblock(A, B)\n\n9<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Mais uma vez, a dist\u00e2ncia de Manhattan entre estes dois vetores \u00e9 <strong>9<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Observe que tamb\u00e9m podemos usar esta fun\u00e7\u00e3o para encontrar a dist\u00e2ncia de Manhattan entre duas colunas em um DataFrame do pandas:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> scipy. <span style=\"color: #3366ff;\">spatial<\/span> . <span style=\"color: #3366ff;\">distance<\/span> <span style=\"color: #008000;\">import<\/span> cityblock\n<span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#define DataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">A<\/span> ': [2, 4, 4, 6],\n                   ' <span style=\"color: #ff0000;\">B<\/span> ': [5, 5, 7, 8],\n                   ' <span style=\"color: #ff0000;\">C<\/span> ': [9, 12, 12, 13]})\n\n<span style=\"color: #008080;\">#calculate Manhattan distance between columns A and B<\/span>\ncityblock(df. <span style=\"color: #3366ff;\">A<\/span> , df. <span style=\"color: #3366ff;\">B<\/span> )\n\n9<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Recursos adicionais<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/pt\/distancia-euclidiana-python\/\" target=\"_blank\" rel=\"noopener\">Como calcular a dist\u00e2ncia euclidiana em Python<\/a><br \/><a href=\"https:\/\/statorials.org\/pt\/distancia-de-hammacao-do-python\/\" target=\"_blank\" rel=\"noopener\">Como calcular a dist\u00e2ncia de Hamming em Python<\/a><br \/><a href=\"https:\/\/statorials.org\/pt\/distancia-levenshtein-em-python\/\" target=\"_blank\" rel=\"noopener\">Como calcular a dist\u00e2ncia de Levenshtein em Python<\/a><br \/> <a href=\"https:\/\/statorials.org\/pt\/mahalanobis-python-remoto\/\" target=\"_blank\" rel=\"noopener\">Como calcular a dist\u00e2ncia de Mahalanobis em Python<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A dist\u00e2ncia de Manhattan entre dois vetores, A e B , \u00e9 calculada da seguinte forma: \u03a3|A i \u2013 B i | onde i \u00e9 o i- \u00e9simo elemento de cada vetor. Essa dist\u00e2ncia \u00e9 usada para medir a dissimilaridade entre dois vetores e \u00e9 comumente usada em muitos algoritmos de aprendizado de m\u00e1quina . [&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-1656","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 calcular a dist\u00e2ncia de Manhattan em Python (com exemplos)<\/title>\n<meta name=\"description\" content=\"Este tutorial explica como calcular a dist\u00e2ncia de Manhattan entre dois vetores 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\/manhattan-python-remoto\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Como calcular a dist\u00e2ncia de Manhattan em Python (com exemplos)\" \/>\n<meta property=\"og:description\" content=\"Este tutorial explica como calcular a dist\u00e2ncia de Manhattan entre dois vetores em Python, com v\u00e1rios exemplos.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pt\/manhattan-python-remoto\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-25T12:06:20+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\/manhattan-python-remoto\/\",\"url\":\"https:\/\/statorials.org\/pt\/manhattan-python-remoto\/\",\"name\":\"Como calcular a dist\u00e2ncia de Manhattan em Python (com exemplos)\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pt\/#website\"},\"datePublished\":\"2023-07-25T12:06:20+00:00\",\"dateModified\":\"2023-07-25T12:06:20+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pt\/#\/schema\/person\/e08f98e8db95e0aa9c310e1b27c9c666\"},\"description\":\"Este tutorial explica como calcular a dist\u00e2ncia de Manhattan entre dois vetores em Python, com v\u00e1rios exemplos.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pt\/manhattan-python-remoto\/#breadcrumb\"},\"inLanguage\":\"pt-PT\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pt\/manhattan-python-remoto\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pt\/manhattan-python-remoto\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Lar\",\"item\":\"https:\/\/statorials.org\/pt\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Como calcular a dist\u00e2ncia de manhattan 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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