{"id":2061,"date":"2026-07-27T02:16:13","date_gmt":"2026-07-27T02:16:13","guid":{"rendered":"https:\/\/www.vpascode.com\/de\/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\/de\/docs\/vpascode-docs\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/","title":{"rendered":"Heatmap-Diagramm: Dichtemessung und Musterabdeckung auf Gitterbasis"},"content":{"rendered":"

Beim Analysieren der Aktivit\u00e4tsdichte, kontinuierlicher Trends oder Korrelationen \u00fcber zwei diskrete Dimensionen bietet das Heatmap-Diagramm<\/strong> eine leistungsstarke visuelle L\u00f6sung. Durch die Abbildung von Datenwerten auf eine dynamische Farbskala \u00fcber ein zweidimensionales Gitter erm\u00f6glichen Heatmaps es Benutzern, Spitzennutzungszeiten, saisonale Engp\u00e4sse oder Matrixbeziehungen<\/em> sofort zu erkennen \u2013 beispielsweise Serverlast nach Stunde und Wochentag, Benutzeraktivit\u00e4tsprotokolle oder Kreuzkategorien-Korrelationsmatrizen.<\/p>\n

Die Funktionsweise von Heatmaps<\/h2>\n

In Apache ECharts verwenden Heatmaps type: 'heatmap'<\/code> auf einem zweidimensionalen kartesischen Gitter. Jeder Datenpunkt erwartet ein 3-Element-Array im Format [xAxisIndex, yAxisIndex, Wert]<\/code>. Eine erforderliche visualMap<\/code>Komponente ordnet numerische Werte einer kontinuierlichen oder st\u00fcckweisen Farbverlauf zu.<\/p>\n

1. Grundlegende Einrichtung<\/h3>\n

Um ein grundlegendes Heatmap-Diagramm zu erstellen, deklarieren Sie kategoriale Achsen f\u00fcr die horizontale (xAxis<\/code>) und vertikale (yAxis<\/code>) Skalen, \u00fcbergeben Sie [xIndex, yIndex, Wert]<\/code> Arrays in Ihre Seriendaten und konfigurieren Sie eine visualMap<\/code>Komponente:<\/p>\n

\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nECharts in VPasCode bearbeiten<\/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 = ['12 Uhr Nacht', '2 Uhr Nacht', '4 Uhr Nacht', '6 Uhr Nacht', '8 Uhr Morgen', '10 Uhr Morgen', '12 Uhr Mittag', '2 Uhr Nachmittag', '4 Uhr Nachmittag', '6 Uhr Nachmittag', '8 Uhr Abend', '10 Uhr Abend'];\r\nconst days = ['Montag', 'Dienstag', 'Mittwoch', 'Donnerstag', 'Freitag'];\r\n\r\n\/\/ Datenformat: [xIndex, yIndex, Wert]\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: 'oben'\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: 'zentriert',\r\n        bottom: '15%'\r\n    },\r\n    series: [\r\n        {\r\n            name: 'Systemlast',\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>
\nECharts in VPasCode bearbeiten<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Fortgeschrittene strukturelle Techniken<\/h2>\n
Heatmaps k\u00f6nnen mit diskreten Farbstufen, deutlich abgesetzten Zellen oder in Kombination mit Kalenderkoordinaten angepasst werden, um Aktivit\u00e4ten \u00fcber ein ganzes Jahr hinweg zu verfolgen.<\/p>\n
1. St\u00fcckweise Farbzuordnung und benutzerdefinierte Zellenabst\u00e4nde<\/h3>\n
Anstatt eines kontinuierlichen Farbverlaufs verwenden Sie einen st\u00fcckweisen visualMap<\/code> um Werte in unterschiedliche Betriebsbereiche zu gruppieren (z.\u202fB. Niedrig, Mittel, Hoch):<\/p>\n
\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nECharts in VPasCode bearbeiten<\/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: ['Produkt A', 'Produkt B', 'Produkt 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: 'Hohe Leistung', color: '#16a34a' },\r\n            { min: 40, max: 79, label: 'Mittel', color: '#f59e0b' },\r\n            { max: 39, label: 'Erfordert Aufmerksamkeit', 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>
\nECharts in VPasCode bearbeiten<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Feinabstimmung von Layout und Farbverl\u00e4ufen<\/h2>\n
Die Auswahl lesbarer Farbstopps und die Aktivierung von geteilten Bereichen erleichtert das problemlose Scannen gro\u00dfer Matrix-Grids.<\/p>\n
1. Anpassung von Farbverl\u00e4ufen und Ausrichtung von Beschriftungen<\/h3>\n
Konfigurieren Sie benutzerdefinierte mehrstufige Farbverl\u00e4ufe in visualMap.inRange<\/code> um Ihren Plattformthemen anzupassen:<\/p>\n
\n
\nECharts<\/span>
\n
\n<\/path><\/path><\/svg>
\nECharts in VPasCode bearbeiten<\/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: ['Knoten 1', 'Knoten 2', 'Knoten 3', 'Knoten 4']\r\n    },\r\n    yAxis: {\r\n        type: 'category',\r\n        data: ['Dienst X', 'Dienst Y', 'Dienst 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'] \/\/ Weicher Blau- bis Dunkelgrau-Verlauf\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>
\nECharts in VPasCode bearbeiten<\/span>
\n<\/a>\n<\/div>\n<\/div>\n
\"\"<\/p>\n
\u00a0<\/p>\n
Strategische Best Practices<\/h2>\n
    \n
  • F\u00fcgen Sie immer eine visualMap<\/code>:<\/strong> Eine Heatmap ohne visuelle Legende zwingt Benutzer dazu, zu raten, was die Farben bedeuten. Platzieren Sie immer eine kontinuierliche oder st\u00fcckweise visualMap<\/code> deutlich am Rand des Canvas.<\/li>\n
  • Verwenden Sie Gitterlinien zur Trennung:<\/strong> Wenden Sie d\u00fcnne wei\u00dfe R\u00e4nder an mit itemStyle.borderColor: '#fff'<\/code> und borderWidth: 1<\/code> oder 2<\/code> um einzelne Zellen in dichten Matrizen visuell unterscheidbar zu halten.<\/li>\n
  • Stellen Sie hochkontrastischen Text sicher:<\/strong> Wenn numerische Beschriftungen f\u00fcr Zellen aktiv sind (label.show: true<\/code>), testen Sie, ob die Textfarbe sowohl gegen die hellsten als auch die dunkelsten Stufen in Ihrer Farbverlaufskurve lesbar bleibt.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
    Beim Analysieren der Aktivit\u00e4tsdichte, kontinuierlicher Trends oder Korrelationen \u00fcber zwei diskrete Dimensionen bietet das Heatmap-Diagramm eine leistungsstarke visuelle L\u00f6sung. Durch die Abbildung von Datenwerten auf eine dynamische Farbskala \u00fcber ein zweidimensionales Gitter erm\u00f6glichen Heatmaps es Benutzern, Spitzennutzungszeiten, saisonale Engp\u00e4sse oder…<\/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\/de\/docs\/vpascode-docs\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\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\/de\/docs\/vpascode-docs\/heatmap-chart-grid-based-density-and-pattern-mapping-guide\/\" 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