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📊 ECharts 图表详解
📊 ECharts 图表详解
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2026-06-05 18:54
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# 📊 ECharts 图表详解 >i **在编辑器中输入 \`\`\`echarts 代码块。每个图表展示美化写法和渲染效果。** ## 1. 柱状图 **使用方式:用 \`\`\`echarts 包裹** ```json { "title": {"text": "季度销售", "left": "center"}, "xAxis": {"type":"category","data":["Q1","Q2","Q3","Q4"]}, "yAxis": {"type": "value"}, "series": [{"type":"bar","data":[120,200,150,80]}] } ``` **渲染效果:** ```echarts {"title":{"text":"季度销售","left":"center"},"xAxis":{"type":"category","data":["Q1","Q2","Q3","Q4"]},"yAxis":{"type":"value"},"series":[{"type":"bar","data":[120,200,150,80]}]} ``` ## 2. 折线图 **使用方式:用 \`\`\`echarts 包裹** ```json { "title": {"text": "周访问量", "left": "center"}, "tooltip": {"trigger": "axis"}, "xAxis": {"type":"category","data":["Mon","Tue","Wed","Thu","Fri","Sat","Sun"]}, "yAxis": {"type": "value"}, "series": [{"type":"line","data":[150,230,224,218,135,147,260],"smooth":true}] } ``` **渲染效果:** ```echarts {"title":{"text":"周访问量","left":"center"},"tooltip":{"trigger":"axis"},"xAxis":{"type":"category","data":["Mon","Tue","Wed","Thu","Fri","Sat","Sun"]},"yAxis":{"type":"value"},"series":[{"type":"line","data":[150,230,224,218,135,147,260],"smooth":true}]} ``` ## 3. 饼图 **使用方式:用 \`\`\`echarts 包裹** ```json { "title": {"text": "流量来源", "left": "center"}, "series": [{"type":"pie","radius":"60%","data":[ {"value":335,"name":"直接"},{"value":310,"name":"邮件"}, {"value":234,"name":"广告"},{"value":135,"name":"视频"}, {"value":548,"name":"搜索"} ]}] } ``` **渲染效果:** ```echarts {"title":{"text":"流量来源","left":"center"},"series":[{"type":"pie","radius":"60%","data":[{"value":335,"name":"直接"},{"value":310,"name":"邮件"},{"value":234,"name":"广告"},{"value":135,"name":"视频"},{"value":548,"name":"搜索"}]}]} ``` ## 4. 散点图 **使用方式:用 \`\`\`echarts 包裹** ```json { "title": {"text": "身高体重分布", "left": "center"}, "xAxis": {"type":"value","name":"身高(cm)"}, "yAxis": {"type":"value","name":"体重(kg)"}, "series": [{"type":"scatter","data":[[161,51],[167,62],[171,65],[175,70],[180,80],[158,48],[163,55]]}] } ``` **渲染效果:** ```echarts {"title":{"text":"身高体重分布","left":"center"},"xAxis":{"type":"value","name":"身高(cm)"},"yAxis":{"type":"value","name":"体重(kg)"},"series":[{"type":"scatter","data":[[161,51],[167,62],[171,65],[175,70],[180,80],[158,48],[163,55]]}]} ``` ## 5. 雷达图 **使用方式:用 \`\`\`echarts 包裹** ```json { "title": {"text": "能力评估", "left": "center"}, "radar": {"indicator":[ {"name":"技术","max":100},{"name":"沟通","max":100}, {"name":"管理","max":100},{"name":"创新","max":100}, {"name":"执行","max":100} ]}, "series": [{"type":"radar","data":[{"value":[85,70,90,65,80],"name":"员工A"}]}] } ``` **渲染效果:** ```echarts {"title":{"text":"能力评估","left":"center"},"radar":{"indicator":[{"name":"技术","max":100},{"name":"沟通","max":100},{"name":"管理","max":100},{"name":"创新","max":100},{"name":"执行","max":100}]},"series":[{"type":"radar","data":[{"value":[85,70,90,65,80],"name":"员工A"}]}]} ``` >w JSON 必须使用双引号,最后一项后不能有逗号。使用方式中的格式化 JSON 便于阅读,工具栏"图表"按钮自动生成渲染所需格式。
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