Data Visualization
生成箱线图进行统计分布分析，包含四分位数、须线和异常值检测
用三种语言从你的代码中调用此工具。
curl -X POST 'https://api.elysiatools.com/zh/api/tools/box-plot-generator' \
-H 'Content-Type: application/json' \
-d '{"chartData":"JSON array format:\n[{"name": "Group A", "values": [23, 25, 28, 32, 35, 38, 42, 45, 48, 52, 55, 58]},\n {"name": "Group B", "values": [18, 22, 24, 27, 29, 31, 33, 35, 37, 39, 41, 43]},\n {"name": "Group C", "values": [15, 18, 20, 22, 25, 28, 30, 32, 35, 38, 40, 42]}]\n\nOr simple values format:\n{\n "Group A": [23, 25, 28, 32, 35, 38, 42, 45, 48, 52, 55, 58],\n "Group B": [18, 22, 24, 27, 29, 31, 33, 35, 37, 39, 41, 43],\n "Group C": [15, 18, 20, 22, 25, 28, 30, 32, 35, 38, 40, 42]\n}\n\nEach group represents a dataset for box plot analysis.","chartTitle":"Box Plot Analysis","orientation":"vertical","boxColor":"#4CAF50","whiskerColor":"#FF5722","medianColor":"#2196F3","outlierColor":"#F44336","showOutliers":true,"showMean":false,"showGrid":true,"showStatistics":true,"boxWidth":40,"outlierSize":4,"chartWidth":"800","chartHeight":"500","marginSize":"60"}'以 JSON 形式 POST 提交输入参数。文件类型参数需先单独上传。
POST https://api.elysiatools.com/zh/api/tools/box-plot-generator| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| chartData | textarea | 是 | 箱线图数据。可以是包含名称/值的对象数组或简单的键值对 |
| chartTitle | text | 否 | 图表上方显示的标题 |
| orientation | select | 否 | 箱线图的方向 |
| boxColor | color | 否 | 箱体填充的颜色 |
| whiskerColor | color | 否 | 须线的颜色（从箱体延伸的线） |
| medianColor | color | 否 | 箱体内中位线的颜色 |
| outlierColor | color | 否 | 异常值点的颜色 |
| showOutliers | checkbox | 否 | 显示超出须线的异常值点 |
| showMean | checkbox | 否 | 将平均值显示为菱形 |
| showGrid | checkbox | 否 | 显示网格线以提高可读性 |
| showStatistics | checkbox | 否 | 显示统计信息（计数、平均值、标准差） |
| boxWidth | range | 否 | 箱体的宽度（相对值） |
| outlierSize | range | 否 | 异常值点的大小 |
| chartWidth | text | 否 | 图表宽度（像素） |
| chartHeight | text | 否 | 图表高度（像素） |
| marginSize | text | 否 | 图表周围的边距 |
HTML 结果
{
"result": "<div>Processed HTML content</div>",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}将此工具加入你的 Model Context Protocol 服务，让 AI 智能体可以列出并调用它。
将以下内容加入你的 MCP 客户端配置：
{
"mcpServers": {
"elysiatools-box-plot-generator": {
"name": "box-plot-generator",
"description": "生成箱线图进行统计分布分析，包含四分位数、须线和异常值检测",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=box-plot-generator",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}连接到 SSE 端点后，列出已开放的工具：
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}通过工具 id 调用，参数由其参数表构建：
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "box-plot-generator",
"arguments": {
"chartData": "JSON array format:\n[{"name": "Group A", "values": [23, 25, 28, 32, 35, 38, 42, 45, 48, 52, 55, 58]},\n {"name": "Group B", "values": [18, 22, 24, 27, 29, 31, 33, 35, 37, 39, 41, 43]},\n {"name": "Group C", "values": [15, 18, 20, 22, 25, 28, 30, 32, 35, 38, 40, 42]}]\n\nOr simple values format:\n{\n "Group A": [23, 25, 28, 32, 35, 38, 42, 45, 48, 52, 55, 58],\n "Group B": [18, 22, 24, 27, 29, 31, 33, 35, 37, 39, 41, 43],\n "Group C": [15, 18, 20, 22, 25, 28, 30, 32, 35, 38, 40, 42]\n}\n\nEach group represents a dataset for box plot analysis.",
"chartTitle": "Box Plot Analysis",
"orientation": "vertical",
"boxColor": "#4CAF50",
"whiskerColor": "#FF5722",
"medianColor": "#2196F3",
"outlierColor": "#F44336",
"showOutliers": true,
"showMean": false,
"showGrid": true,
"showStatistics": true,
"boxWidth": 40,
"outlierSize": 4,
"chartWidth": "800",
"chartHeight": "500",
"marginSize": "60"
}
}
}有问题或反馈？请联系 [email protected]