{"id":2061,"date":"2026-07-27T02:16:13","date_gmt":"2026-07-27T02:16:13","guid":{"rendered":"https:\/\/www.vpascode.com\/es\/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\/es\/docs\/vpascode-docs\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/","title":{"rendered":"Gr\u00e1fico de mapa de calor: mapeo de densidad y patrones basado en cuadr\u00edcula"},"content":{"rendered":"

Al analizar la densidad de actividad, tendencias continuas o correlaciones entre dos dimensiones discretas, el Gr\u00e1fico de mapa de calor<\/strong> proporciona una soluci\u00f3n visual potente. Al asignar valores de datos a una escala de color din\u00e1mica a trav\u00e9s de una cuadr\u00edcula bidimensional, los mapas de calor permiten a los usuarios identificar r\u00e1pidamente horas pico de uso, cuellos de botella estacionales o relaciones matriciales<\/em> de inmediato, por ejemplo, la carga del servidor por hora y d\u00eda de la semana, registros de actividad de usuarios o matrices de correlaci\u00f3n entre categor\u00edas.<\/p>\n

La mec\u00e1nica de los mapas de calor<\/h2>\n

En Apache ECharts, los mapas de calor utilizan type: 'heatmap'<\/code> en una cuadr\u00edcula cartesiana bidimensional. Cada punto de datos espera un arreglo de 3 elementos con el formato [xAxisIndex, yAxisIndex, value]<\/code>. Un componente requerido visualMap<\/code> asigna valores num\u00e9ricos a una gradaci\u00f3n de color continua o por tramos.<\/p>\n

1. Configuraci\u00f3n esencial<\/h3>\n

Para crear un gr\u00e1fico de mapa de calor b\u00e1sico, declare ejes categ\u00f3ricos para ambos ejes horizontal (xAxis<\/code>) y vertical (yAxis<\/code>) escalas, pase [xIndex, yIndex, value]<\/code> arreglos en sus datos de serie, y configure un componente visualMap<\/code> componente:<\/p>\n

\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nEditar ECharts en 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 hours = ['12am', '2am', '4am', '6am', '8am', '10am', '12pm', '2pm', '4pm', '6pm', '8pm', '10pm'];\r\nconst days = ['Lunes', 'Martes', 'Mi\u00e9rcoles', 'Jueves', 'Viernes'];\r\n\r\n\/\/ Formato de datos: [xIndex, yIndex, value]\r\nconst data = [\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\noption = {\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: hours,\r\n        splitArea: { show: true }\r\n    },\r\n    yAxis: {\r\n        type: 'category',\r\n        data: days,\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 del sistema',\r\n            type: 'heatmap',\r\n            data: data,\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>
\nEditar ECharts en VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
T\u00e9cnicas estructurales avanzadas<\/h2>\n
Los mapas de calor pueden personalizarse con pasos de color discretos, espacios distintos entre celdas o combinarse con coordenadas de calendario para rastrear la actividad durante un a\u00f1o completo.<\/p>\n
1. Mapeo de colores por tramos y separaci\u00f3n personalizada de celdas<\/h3>\n
En lugar de un gradiente de color continuo, utilice un mapeo por tramosvisualMap<\/code> para agrupar valores en bandas operativas distintas (por ejemplo, Bajo, Medio, Alto):<\/p>\n
\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nEditar ECharts en 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: ['Producto A', 'Producto B', 'Producto 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 rendimiento', color: '#16a34a' },\r\n            { min: 40, max: 79, label: 'Moderado', color: '#f59e0b' },\r\n            { max: 39, label: 'Requiere atenci\u00f3n', 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>
\nEditar ECharts en VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Ajuste fino del dise\u00f1o y los gradientes de color<\/h2>\n
Elegir paradas de color legibles y habilitar \u00e1reas divididas hace que la lectura de cuadr\u00edculas matriciales grandes sea sencilla.<\/p>\n
1. Personalizaci\u00f3n de gradientes y alineaci\u00f3n de etiquetas<\/h3>\n
Configure rampas de color personalizadas de m\u00faltiples paradas envisualMap.inRange<\/code> para adaptarse al tema de su plataforma:<\/p>\n
\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nEditar ECharts en 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: ['Nodo 1', 'Nodo 2', 'Nodo 3', 'Nodo 4']\r\n    },\r\n    yAxis: {\r\n        type: 'category',\r\n        data: ['Servicio X', 'Servicio Y', 'Servicio 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 azul suave a gris oscuro\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>
\nEditar ECharts en VPasCode<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Pr\u00e1cticas recomendadas estrat\u00e9gicas<\/h2>\n
    \n
  • Incluya siempre unvisualMap<\/code>:<\/strong>Un mapa de calor sin una leyenda visual obliga a los usuarios a adivinar el significado de los colores. Coloque siempre unvisualMap<\/code>claramente cerca del borde del lienzo.<\/li>\n
  • Use bordes de cuadr\u00edcula para separaci\u00f3n:<\/strong>Aplicar bordes blancos delgados usandoitemStyle.borderColor: '#fff'<\/code>yborderWidth: 1<\/code> o 2<\/code> para mantener las celdas individuales visualmente distintas en matrices densas.<\/li>\n
  • Aseg\u00farese de texto de alto contraste:<\/strong> Si las etiquetas num\u00e9ricas de las celdas est\u00e1n activas (label.show: true<\/code>), pruebe que el color del texto permanezca legible frente a los pasos m\u00e1s claros y m\u00e1s oscuros de su gradiente de colores.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
    Al analizar la densidad de actividad, tendencias continuas o correlaciones entre dos dimensiones discretas, el Gr\u00e1fico de mapa de calor proporciona una soluci\u00f3n visual potente. Al asignar valores de datos a una escala de color din\u00e1mica a trav\u00e9s de una…<\/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 center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","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":"var(--ast-global-color-4)","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":""}}},"ld_collection":[14],"class_list":["post-2061","ld_docs","type-ld_docs","status-publish","hentry","ld_collection-vpascode-docs"],"yoast_head":"\nECharts 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\/es\/docs\/vpascode-docs\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\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\/es\/docs\/vpascode-docs\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/\" \/>\n<meta property=\"og:site_name\" content=\"VPasCode\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.vpascode.com\/wp-content\/uploads\/2026\/07\/img_6a66bf9404a54.png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Tiempo de lectura\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/docs\\\/vpascode-docs\\\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\\\/\",\"url\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/docs\\\/vpascode-docs\\\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\\\/\",\"name\":\"ECharts Heatmap Guide | VPasCode Text to Diagram Tool\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/docs\\\/vpascode-docs\\\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/docs\\\/vpascode-docs\\\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.vpascode.com\\\/wp-content\\\/uploads\\\/2026\\\/07\\\/img_6a66bf9404a54.png\",\"datePublished\":\"2026-07-27T02:16:13+00:00\",\"description\":\"Render matrix activity grids and density maps using ECharts heatmap scripts in VPasCode, a diagram-as-code tool.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/docs\\\/vpascode-docs\\\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\\\/#breadcrumb\"},\"inLanguage\":\"es\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.vpascode.com\\\/es\\\/docs\\\/vpascode-docs\\\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"es\",\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/docs\\\/vpascode-docs\\\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\\\/#primaryimage\",\"url\":\"https:\\\/\\\/www.vpascode.com\\\/wp-content\\\/uploads\\\/2026\\\/07\\\/img_6a66bf9404a54.png\",\"contentUrl\":\"https:\\\/\\\/www.vpascode.com\\\/wp-content\\\/uploads\\\/2026\\\/07\\\/img_6a66bf9404a54.png\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/docs\\\/vpascode-docs\\\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Lean Docs\",\"item\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/docs\\\/%ld_collection%\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Gr\u00e1fico de mapa de calor: mapeo de densidad y patrones basado en cuadr\u00edcula\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/#website\",\"url\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/\",\"name\":\"VPasCode\",\"description\":\"by Visual Paradigm\",\"publisher\":{\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"es\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/#organization\",\"name\":\"VPasCode\",\"url\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"es\",\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/wp-content\\\/uploads\\\/sites\\\/5\\\/2026\\\/06\\\/cropped-vp-online-logo-v1.png\",\"contentUrl\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/wp-content\\\/uploads\\\/sites\\\/5\\\/2026\\\/06\\\/cropped-vp-online-logo-v1.png\",\"width\":128,\"height\":138,\"caption\":\"VPasCode\"},\"image\":{\"@id\":\"https:\\\/\\\/www.vpascode.com\\\/es\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"ECharts Heatmap Guide | VPasCode Text to Diagram Tool","description":"Render matrix activity grids and density maps using ECharts heatmap scripts in VPasCode, a diagram-as-code tool.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/","og_locale":"es_ES","og_type":"article","og_title":"ECharts Heatmap Guide | VPasCode Text to Diagram Tool","og_description":"Render matrix activity grids and density maps using ECharts heatmap scripts in VPasCode, a diagram-as-code tool.","og_url":"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/","og_site_name":"VPasCode","og_image":[{"url":"https:\/\/www.vpascode.com\/wp-content\/uploads\/2026\/07\/img_6a66bf9404a54.png","type":"","width":"","height":""}],"twitter_card":"summary_large_image","twitter_misc":{"Tiempo de lectura":"2 minutos"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/","url":"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/","name":"ECharts Heatmap Guide | VPasCode Text to Diagram Tool","isPartOf":{"@id":"https:\/\/www.vpascode.com\/es\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/#primaryimage"},"image":{"@id":"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/#primaryimage"},"thumbnailUrl":"https:\/\/www.vpascode.com\/wp-content\/uploads\/2026\/07\/img_6a66bf9404a54.png","datePublished":"2026-07-27T02:16:13+00:00","description":"Render matrix activity grids and density maps using ECharts heatmap scripts in VPasCode, a diagram-as-code tool.","breadcrumb":{"@id":"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/#breadcrumb"},"inLanguage":"es","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/"]}]},{"@type":"ImageObject","inLanguage":"es","@id":"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/#primaryimage","url":"https:\/\/www.vpascode.com\/wp-content\/uploads\/2026\/07\/img_6a66bf9404a54.png","contentUrl":"https:\/\/www.vpascode.com\/wp-content\/uploads\/2026\/07\/img_6a66bf9404a54.png"},{"@type":"BreadcrumbList","@id":"https:\/\/www.vpascode.com\/es\/docs\/vpascode-docs\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.vpascode.com\/es\/"},{"@type":"ListItem","position":2,"name":"Lean Docs","item":"https:\/\/www.vpascode.com\/es\/docs\/%ld_collection%\/"},{"@type":"ListItem","position":3,"name":"Gr\u00e1fico de mapa de calor: mapeo de densidad y patrones basado en cuadr\u00edcula"}]},{"@type":"WebSite","@id":"https:\/\/www.vpascode.com\/es\/#website","url":"https:\/\/www.vpascode.com\/es\/","name":"VPasCode","description":"by Visual Paradigm","publisher":{"@id":"https:\/\/www.vpascode.com\/es\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.vpascode.com\/es\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"es"},{"@type":"Organization","@id":"https:\/\/www.vpascode.com\/es\/#organization","name":"VPasCode","url":"https:\/\/www.vpascode.com\/es\/","logo":{"@type":"ImageObject","inLanguage":"es","@id":"https:\/\/www.vpascode.com\/es\/#\/schema\/logo\/image\/","url":"https:\/\/www.vpascode.com\/es\/wp-content\/uploads\/sites\/5\/2026\/06\/cropped-vp-online-logo-v1.png","contentUrl":"https:\/\/www.vpascode.com\/es\/wp-content\/uploads\/sites\/5\/2026\/06\/cropped-vp-online-logo-v1.png","width":128,"height":138,"caption":"VPasCode"},"image":{"@id":"https:\/\/www.vpascode.com\/es\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/www.vpascode.com\/es\/wp-json\/wp\/v2\/ld_docs\/2061","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.vpascode.com\/es\/wp-json\/wp\/v2\/ld_docs"}],"about":[{"href":"https:\/\/www.vpascode.com\/es\/wp-json\/wp\/v2\/types\/ld_docs"}],"author":[{"embeddable":true,"href":"https:\/\/www.vpascode.com\/es\/wp-json\/wp\/v2\/users\/3"}],"wp:attachment":[{"href":"https:\/\/www.vpascode.com\/es\/wp-json\/wp\/v2\/media?parent=2061"}],"wp:term":[{"taxonomy":"ld_collection","embeddable":true,"href":"https:\/\/www.vpascode.com\/es\/wp-json\/wp\/v2\/ld_collection?post=2061"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}