{"id":2059,"date":"2026-07-27T02:16:13","date_gmt":"2026-07-27T02:16:13","guid":{"rendered":"https:\/\/www.vpascode.com\/pt\/docs\/uncategorized\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/"},"modified":"2026-07-27T02:16:13","modified_gmt":"2026-07-27T02:16:13","slug":"heatmap-chart-grid-based-density-and-pattern-mapping-guide","status":"publish","type":"ld_docs","link":"https:\/\/www.vpascode.com\/pt\/docs\/vpascode-docs\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/","title":{"rendered":"Gr\u00e1fico de Mapa de Calor: Mapeamento de Densidade e Padr\u00e3o Baseado em Grade"},"content":{"rendered":"

Ao analisar a densidade de atividade, tend\u00eancias cont\u00ednuas ou correla\u00e7\u00f5es em duas dimens\u00f5es discretas, o Gr\u00e1fico de Mapa de Calor<\/strong> fornece uma solu\u00e7\u00e3o visual poderosa. Ao mapear valores de dados em uma escala de cor din\u00e2mica em uma grade bidimensional, os mapas de calor permitem que os usu\u00e1rios identifiquem hor\u00e1rios de pico de uso, gargalos sazonais ou rela\u00e7\u00f5es matriciais<\/em>instantaneamente\u2014como a carga do servidor por hora e dia da semana, registros de atividade de usu\u00e1rios ou matrizes de correla\u00e7\u00e3o entre categorias.<\/p>\n

O Funcionamento dos Mapas de Calor<\/h2>\n

No Apache ECharts, os mapas de calor usam type: 'heatmap'<\/code> em uma grade cartesiana bidimensional. Cada ponto de dados espera um array de 3 elementos formatado como [xAxisIndex, yAxisIndex, value]<\/code>. Um componente obrigat\u00f3rio visualMap<\/code> mapeia valores num\u00e9ricos para uma escala de cor cont\u00ednua ou por partes.<\/p>\n

1. Configura\u00e7\u00e3o B\u00e1sica<\/h3>\n

Para criar um gr\u00e1fico de mapa de calor b\u00e1sico, declare eixos categ\u00f3ricos para as escalas horizontal (xAxis<\/code>) e vertical (yAxis<\/code>) e passe [xIndex, yIndex, value]<\/code> arrays para seus dados de s\u00e9rie e configure um componente visualMap<\/code> componente:<\/p>\n

\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nEdite o ECharts no VPasCode<\/span>
\n<\/a>\n<\/div>\n
\n
\r\n
\r\n ECharts<\/span>\r\n \r\n <\/path><\/path><\/svg>\r\n Edit ECharts in VPasCode<\/span>\r\n <\/a>\r\n <\/div>\r\n
\r\n 
const horas = ['12am', '2am', '4am', '6am', '8am', '10am', '12pm', '2pm', '4pm', '6pm', '8pm', '10pm'];\r\nconst dias = ['Segunda-feira', 'Ter\u00e7a-feira', 'Quarta-feira', 'Quinta-feira', 'Sexta-feira'];\r\n\r\n\/\/ Formato dos dados: [xIndex, yIndex, value]\r\nconst dados = [\r\n    [0, 0, 5], [1, 0, 1], [2, 0, 0], [3, 0, 0], [4, 0, 12], [5, 0, 24], [6, 0, 38], [7, 0, 42], [8, 0, 35], [9, 0, 20], [10, 0, 10], [11, 0, 6],\r\n    [0, 1, 3], [1, 1, 0], [2, 1, 0], [3, 1, 1], [4, 1, 15], [5, 1, 28], [6, 1, 45], [7, 1, 50], [8, 1, 40], [9, 1, 22], [10, 1, 12], [11, 1, 4],\r\n    [0, 2, 2], [1, 2, 1], [2, 2, 0], [3, 2, 0], [4, 2, 11], [5, 2, 26], [6, 2, 41], [7, 2, 48], [8, 2, 38], [9, 2, 19], [10, 2, 8],  [11, 2, 3],\r\n    [0, 3, 4], [1, 3, 2], [2, 3, 0], [3, 3, 1], [4, 3, 14], [5, 3, 30], [6, 3, 49], [7, 3, 55], [8, 3, 42], [9, 3, 25], [10, 3, 15], [11, 3, 5],\r\n    [0, 4, 6], [1, 4, 3], [2, 4, 1], [3, 4, 2], [4, 4, 10], [5, 4, 20], [6, 4, 32], [7, 4, 36], [8, 4, 28], [9, 4, 18], [10, 4, 9],  [11, 4, 2]\r\n];\r\n\r\nopcao = {\r\n    tooltip: {\r\n        position: 'top'\r\n    },\r\n    grid: {\r\n        height: '50%',\r\n        top: '10%'\r\n    },\r\n    xAxis: {\r\n        type: 'category',\r\n        data: horas,\r\n        splitArea: { show: true }\r\n    },\r\n    yAxis: {\r\n        type: 'category',\r\n        data: dias,\r\n        splitArea: { show: true }\r\n    },\r\n    visualMap: {\r\n        min: 0,\r\n        max: 60,\r\n        calculable: true,\r\n        orient: 'horizontal',\r\n        left: 'center',\r\n        bottom: '15%'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Carga do Sistema',\r\n            type: 'heatmap',\r\n            data: dados,\r\n            label: {\r\n                show: true\r\n            },\r\n            emphasis: {\r\n                itemStyle: {\r\n                    shadowBlur: 10,\r\n                    shadowColor: 'rgba(0, 0, 0, 0.5)'\r\n                }\r\n            }\r\n        }\r\n    ]\r\n};<\/code><\/pre>                <\/div>\r\n                
\r\n                    \r\n                        <\/path><\/path><\/svg>\r\n                        Edit ECharts in VPasCode<\/span>\r\n                    <\/a>\r\n                <\/div>\r\n            <\/div>\r\n            \n<\/p><\/div>\n
\n
\n<\/path><\/path><\/svg>
\nEdite o ECharts no VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
T\u00e9cnicas Estruturais Avan\u00e7adas<\/h2>\n
Mapas de calor podem ser personalizados com etapas de cor discretas, espa\u00e7amentos distintos entre c\u00e9lulas ou combinados com coordenadas de calend\u00e1rio para rastrear atividades ao longo de um ano inteiro.<\/p>\n
1. Mapeamento de Cores por Trechos e Espa\u00e7amento Personalizado de C\u00e9lulas<\/h3>\n
Em vez de um gradiente de cor cont\u00ednuo, use um visualMap<\/code> para agrupar valores em faixas operacionais distintas (por exemplo, Baixo, M\u00e9dio, Alto):<\/p>\n
\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nEdite ECharts no VPasCode<\/span>
\n<\/a>\n<\/div>\n
\n            
\r\n                                
\r\n                    ECharts<\/span>\r\n                    \r\n                        <\/path><\/path><\/svg>\r\n                        Edit ECharts in VPasCode<\/span>\r\n                    <\/a>\r\n                <\/div>\r\n                                
\r\n                    
option = {\r\n    tooltip: { position: 'top' },\r\n    xAxis: {\r\n        type: 'category',\r\n        data: ['Q1', 'Q2', 'Q3', 'Q4']\r\n    },\r\n    yAxis: {\r\n        type: 'category',\r\n        data: ['Produto A', 'Produto B', 'Produto C']\r\n    },\r\n    visualMap: {\r\n        type: 'piecewise',\r\n        min: 0,\r\n        max: 100,\r\n        left: 'center',\r\n        bottom: '5%',\r\n        orient: 'horizontal',\r\n        pieces: [\r\n            { min: 80, label: 'Alto Desempenho', color: '#16a34a' },\r\n            { min: 40, max: 79, label: 'Moderado', color: '#f59e0b' },\r\n            { max: 39, label: 'Requer Aten\u00e7\u00e3o', color: '#dc2626' }\r\n        ]\r\n    },\r\n    series: [\r\n        {\r\n            type: 'heatmap',\r\n            data: [\r\n                [0, 0, 85], [1, 0, 92], [2, 0, 78], [3, 0, 88],\r\n                [0, 1, 45], [1, 1, 55], [2, 1, 62], [3, 1, 35],\r\n                [0, 2, 25], [1, 2, 30], [2, 2, 18], [3, 2, 42]\r\n            ],\r\n            label: { show: true },\r\n            itemStyle: {\r\n                borderColor: '#ffffff',\r\n                borderWidth: 2\r\n            }\r\n        }\r\n    ]\r\n};<\/code><\/pre>                <\/div>\r\n                
\r\n                    \r\n                        <\/path><\/path><\/svg>\r\n                        Edit ECharts in VPasCode<\/span>\r\n                    <\/a>\r\n                <\/div>\r\n            <\/div>\r\n            \n<\/p><\/div>\n
\n
\n<\/path><\/path><\/svg>
\nEdite ECharts no VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Ajuste fino do Layout e dos Gradientes de Cor<\/h2>\n
Escolher paradas de cor leg\u00edveis e habilitar \u00e1reas divididas torna a leitura de matrizes grandes f\u00e1cil e intuitiva.<\/p>\n
1. Personaliza\u00e7\u00e3o de Gradiente e Alinhamento de R\u00f3tulos<\/h3>\n
Configure rampas de cor personalizadas com m\u00faltiplas paradas em visualMap.inRange<\/code> para corresponder ao tema da sua plataforma:<\/p>\n
\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nEdite ECharts no VPasCode<\/span>
\n<\/a>\n<\/div>\n
\n            
\r\n                                
\r\n                    ECharts<\/span>\r\n                    \r\n                        <\/path><\/path><\/svg>\r\n                        Edit ECharts in VPasCode<\/span>\r\n                    <\/a>\r\n                <\/div>\r\n                                
\r\n                    
option = {\r\n    grid: { containLabel: true },\r\n    xAxis: {\r\n        type: 'category',\r\n        data: ['N\u00f3 1', 'N\u00f3 2', 'N\u00f3 3', 'N\u00f3 4']\r\n    },\r\n    yAxis: {\r\n        type: 'category',\r\n        data: ['Servi\u00e7o X', 'Servi\u00e7o Y', 'Servi\u00e7o Z']\r\n    },\r\n    visualMap: {\r\n        min: 0,\r\n        max: 100,\r\n        calculable: true,\r\n        orient: 'horizontal',\r\n        left: 'center',\r\n        bottom: '0%',\r\n        inRange: {\r\n            color: ['#f0f9ff', '#0284c7', '#0f172a'] \/\/ Gradiente suave azul para cinza-escuro\r\n        }\r\n    },\r\n    series: [\r\n        {\r\n            type: 'heatmap',\r\n            data: [\r\n                [0, 0, 12], [1, 0, 45], [2, 0, 78], [3, 0, 95],\r\n                [0, 1, 34], [1, 1, 67], [2, 1, 89], [3, 1, 23],\r\n                [0, 2, 56], [1, 2, 78], [2, 2, 12], [3, 2, 88]\r\n            ]\r\n        }\r\n    ]\r\n};<\/code><\/pre>                <\/div>\r\n                
\r\n                    \r\n                        <\/path><\/path><\/svg>\r\n                        Edit ECharts in VPasCode<\/span>\r\n                    <\/a>\r\n                <\/div>\r\n            <\/div>\r\n            \n<\/p><\/div>\n
\n
\n<\/path><\/path><\/svg>
\nEdite ECharts no VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Melhores Pr\u00e1ticas Estrat\u00e9gicas<\/h2>\n
    \n
  • Sempre inclua um visualMap<\/code>:<\/strong> Um heatmap sem uma legenda visual for\u00e7a os usu\u00e1rios a adivinhar o significado das cores. Sempre posicione um visualMap<\/code> claramente pr\u00f3ximo \u00e0 borda da \u00e1rea de desenho.<\/li>\n
  • Use bordas de grade para separa\u00e7\u00e3o:<\/strong> Aplique bordas finas brancas usando itemStyle.borderColor: '#fff'<\/code> e borderWidth: 1<\/code> ou 2<\/code> para manter as c\u00e9lulas individuais visualmente distintas em matrizes densas.<\/li>\n
  • Garanta texto com alto contraste:<\/strong> Se r\u00f3tulos num\u00e9ricos das c\u00e9lulas estiverem ativos (label.show: true<\/code>), teste se a cor do texto permanece leg\u00edvel contra os tons mais claros e mais escuros na sua escala de cores.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
    Ao analisar a densidade de atividade, tend\u00eancias cont\u00ednuas ou correla\u00e7\u00f5es em duas dimens\u00f5es discretas, o Gr\u00e1fico de Mapa de Calor fornece uma solu\u00e7\u00e3o visual poderosa. Ao mapear valores de dados em uma escala de cor din\u00e2mica em uma grade bidimensional,…<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":15,"template":"","meta":{"inline_featured_image":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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Heatmap Guide | VPasCode Text to Diagram Tool<\/title>\n<meta name=\"description\" content=\"Render matrix activity grids and density maps using ECharts heatmap scripts in VPasCode, a diagram-as-code tool.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.vpascode.com\/pt\/docs\/vpascode-docs\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ECharts Heatmap Guide | VPasCode Text to Diagram Tool\" \/>\n<meta property=\"og:description\" content=\"Render matrix activity grids and density maps using ECharts heatmap scripts in VPasCode, a diagram-as-code tool.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.vpascode.com\/pt\/docs\/vpascode-docs\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/\" 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