{"id":1389,"date":"2026-07-27T03:14:24","date_gmt":"2026-07-27T03:14:24","guid":{"rendered":"https:\/\/www.vpascode.com\/cn\/docs\/uncategorized\/echarts-playbook\/theme-river-chart-continuous-categorical-flow-and-trend-analysis\/"},"modified":"2026-07-30T01:28:50","modified_gmt":"2026-07-30T01:28:50","slug":"theme-river-chart-continuous-categorical-flow-and-trend-analysis-guide","status":"publish","type":"ld_docs","link":"https:\/\/www.vpascode.com\/cn\/docs\/vpascode-docs\/echarts-playbook\/theme-river-chart-continuous-categorical-flow-and-trend-analysis-guide\/","title":{"rendered":"Theme River Chart: Continuous Categorical Flow and Trend Analysis"},"content":{"rendered":"

When tracking how multiple continuous categories evolve over time\u2014such as product sales across quarters, changing topic trends in news coverage, or media consumption patterns\u2014the Theme River Chart<\/strong> (a specialized form of a streamgraph) provides an intuitive, visually striking presentation. Unlike standard stacked area charts that anchor to a flat baseline, a Theme River chart flows horizontally around a central axis, creating an organic, river-like visualization where individual streams widen or shrink based on quantitative value shifts.<\/p>\n

The Mechanics of Theme River Charts<\/h2>\n

In Apache ECharts, Theme River charts use type: 'themeRiver'<\/code>. Instead of relying on traditional xAxis<\/code> and yAxis<\/code> configurations, the chart operates on a single horizontal singleAxis<\/code> with type: 'time'<\/code> or type: 'value'<\/code>. Data items are passed as array tuples formatted as [time, value, categoryName]<\/code>.<\/p>\n

1. Essential Setup<\/h3>\n

To create a basic Theme River chart, configure a singleAxis<\/code> of type 'time'<\/code>, specify type: 'themeRiver'<\/code> in your series, and supply your flow observations in the data<\/code> array:<\/p>\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: {\r\n        trigger: 'axis',\r\n        axisPointer: {\r\n            type: 'line',\r\n            lineStyle: {\r\n                color: 'rgba(0,0,0,0.2)',\r\n                width: 1,\r\n                type: 'solid'\r\n            }\r\n        }\r\n    },\r\n    legend: {\r\n        data: ['Tech', 'Fashion', 'Sports']\r\n    },\r\n    singleAxis: {\r\n        top: 50,\r\n        bottom: 50,\r\n        axisTick: {},\r\n        axisLabel: {},\r\n        type: 'time',\r\n        axisPointer: {\r\n            animation: true,\r\n            label: { show: true }\r\n        },\r\n        splitLine: {\r\n            show: true,\r\n            lineStyle: {\r\n                type: 'dashed',\r\n                opacity: 0.5\r\n            }\r\n        }\r\n    },\r\n    series: [\r\n        {\r\n            type: 'themeRiver',\r\n            emphasis: {\r\n                itemStyle: {\r\n                    shadowBlur: 20,\r\n                    shadowColor: 'rgba(0, 0, 0, 0.3)'\r\n                }\r\n            },\r\n            data: [\r\n                ['2026-01-01', 12, 'Tech'],\r\n                ['2026-02-01', 24, 'Tech'],\r\n                ['2026-03-01', 32, 'Tech'],\r\n                ['2026-04-01', 18, 'Tech'],\r\n                ['2026-01-01', 15, 'Fashion'],\r\n                ['2026-02-01', 18, 'Fashion'],\r\n                ['2026-03-01', 10, 'Fashion'],\r\n                ['2026-04-01', 25, 'Fashion'],\r\n                ['2026-01-01', 8, 'Sports'],\r\n                ['2026-02-01', 12, 'Sports'],\r\n                ['2026-03-01', 28, 'Sports'],\r\n                ['2026-04-01', 20, 'Sports']\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>\n
 <\/p>\n
Advanced Structural Techniques<\/h2>\n
Theme River charts excel when monitoring complex multi-category events across long timeline sequences with custom tooltips and styled category palettes.<\/p>\n
1. Multi-Stream Media Volume Flow<\/h3>\n
Customizing stream colors with explicit palette mappings and custom axis tooltips turns raw event logs into a clean activity timeline:<\/p>\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 categories = ['Articles', 'Video Views', 'Podcast Plays', 'Social Shares'];\r\n\r\noption = {\r\n    title: {\r\n        text: 'Content Engagement Streams',\r\n        left: 'center'\r\n    },\r\n    tooltip: {\r\n        trigger: 'axis',\r\n        axisPointer: {\r\n            type: 'line',\r\n            lineStyle: {\r\n                color: '#333',\r\n                width: 1\r\n            }\r\n        }\r\n    },\r\n    legend: {\r\n        data: categories,\r\n        bottom: 10\r\n    },\r\n    color: ['#5470c6', '#91cc75', '#fac858', '#ee6666'],\r\n    singleAxis: {\r\n        top: '15%',\r\n        bottom: '20%',\r\n        type: 'time',\r\n        axisLine: { lineStyle: { color: '#ccc' } },\r\n        splitLine: { show: false }\r\n    },\r\n    series: [\r\n        {\r\n            type: 'themeRiver',\r\n            label: {\r\n                show: true,\r\n                position: 'left',\r\n                fontSize: 12\r\n            },\r\n            data: [\r\n                ['2026-01-01', 120, 'Articles'], ['2026-02-01', 200, 'Articles'], ['2026-03-01', 150, 'Articles'], ['2026-04-01', 80, 'Articles'],\r\n                ['2026-01-01', 60, 'Video Views'], ['2026-02-01', 140, 'Video Views'], ['2026-03-01', 220, 'Video Views'], ['2026-04-01', 310, 'Video Views'],\r\n                ['2026-01-01', 30, 'Podcast Plays'], ['2026-02-01', 45, 'Podcast Plays'], ['2026-03-01', 90, 'Podcast Plays'], ['2026-04-01', 110, 'Podcast Plays'],\r\n                ['2026-01-01', 180, 'Social Shares'], ['2026-02-01', 110, 'Social Shares'], ['2026-03-01', 70, 'Social Shares'], ['2026-04-01', 95, 'Social Shares']\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>\n
 <\/p>\n
Strategic Best Practices<\/h2>\n
    \n
  • Format Data Tuples Correctly:<\/strong> Each entry in the data<\/code> array must follow the exact order [date, value, categoryName]<\/code> for ECharts to properly slice and stack continuous streams.<\/li>\n
  • Limit Category Sprawl:<\/strong> Keep the number of distinct categories between 3 and 7. Too many streams make individual bands narrow and hard to trace across time points.<\/li>\n
  • Leverage singleAxis<\/code> Sizing:<\/strong> Adjust top<\/code> and bottom<\/code> on the singleAxis<\/code> property to control vertical padding and prevent outer stream labels from clipping against the container edges.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
    When tracking how multiple continuous ca…<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":1254,"menu_order":24,"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 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