9.4 KiB
9.4 KiB
折线图
Content 约束
- 数据点 ≤ 15
- Y 轴必须有单位标注(如 "万元"、"%")
- 折线系列 ≤ 3(超过太密看不清)
Layout 选型
- 脚本生成坐标(推荐):用 .cjs 脚本计算数据点坐标和折线路径,脚本输出 JSON 文件后调用
npx -y @larksuite/whiteboard-cli@^0.2.10渲染
Layout 规则
- 白板坐标系 Y 轴向下为正,图表"底部原点"拥有最大 Y 值,数据点向上分布时 Y 减小
- 数据点用小 ellipse 标记(width: 12, height: 12)
- 折线用 connector straight 连接相邻数据点,endArrow: "none"
- 坐标轴用 connector 直线,末端带箭头(endArrow: "arrow")
- 格线用虚线 connector(lineStyle: "dashed",endArrow: "none")
- 刻度线短横线 connector(endArrow: "none")
- 数值标注放在数据点上方
- 类别标签放在 X 轴下方,居中对齐数据点
坐标与尺寸计算指南
白板坐标系中,X 轴向右为正,Y 轴向下为正。图表的"底部原点"拥有最大的 Y 坐标,数据点向上分布时 Y 坐标减小。
- 确定图表区域:
- 设定图表区高度
chartHeight和宽度chartWidth - 设定左下角坐标原点
(originX, originY) - 示例:originX=80, originY=480, chartWidth=900, chartHeight=400
- 设定图表区高度
- Y 轴范围自适应:
- 找出数据最小值
dataMin和最大值dataMax - yMin 不一定为 0:若数据集中在 80-120,Y 轴从 0 开始会让折线挤在顶部一小段区域
- 推荐:yMin = 向下取整到合适刻度(如 dataMin=82 → yMin=80),yMax = 向上取整(如 dataMax=118 → yMax=120)
- 当数据波动极小时(如 98-102),适当扩大范围避免折线过于平坦
- 找出数据最小值
- 数据点坐标计算:
- X 坐标:在可用宽度内均匀分布。
pointX = originX + (i / (pointCount - 1)) * chartWidth - Y 坐标:按比例映射到高度。
pointY = originY - ((value - yMin) / (yMax - yMin)) * chartHeight - ellipse 定位:
ellipseX = pointX - 6, ellipseY = pointY - 6(圆心对齐数据点)
- X 坐标:在可用宽度内均匀分布。
- 连线逻辑:
- 用 connector straight 将相邻数据点连接
from= 点[i] 的 (pointX, pointY),to= 点[i+1] 的 (pointX, pointY)- startArrow: "none", endArrow: "none"
- Y 轴刻度计算:
- 将 yMin 到 yMax 等分为 4-5 个刻度
- 每个刻度的 Y 坐标:
gridY = originY - ((tickValue - yMin) / (yMax - yMin)) * chartHeight
完整 JSON 示例
以下示例:4 个数据点,数据 [120, 200, 150, 180],yMin=100, yMax=220,originX=80, originY=480, chartWidth=900, chartHeight=400。
- 刻度:100, 130, 160, 190, 220(每 30 一格)
- 点0 (120): pointX=80, pointY=480-((120-100)/120)*400=480-66.7=413
- 点1 (200): pointX=80+300=380, pointY=480-((200-100)/120)*400=480-333.3=147
- 点2 (150): pointX=80+600=680, pointY=480-((150-100)/120)*400=480-166.7=313
- 点3 (180): pointX=80+900=980, pointY=480-((180-100)/120)*400=480-266.7=213
{
"version": 2,
"nodes": [
{ "type": "rect", "x": 0, "y": 0, "width": 1100, "height": 580 },
{ "type": "text", "x": 80, "y": 10, "width": 900, "height": "fit-content",
"text": "季度销售额趋势", "fontSize": 24, "textAlign": "center" },
{ "type": "text", "x": 10, "y": 40, "width": 60, "height": "fit-content",
"text": "万元", "fontSize": 12, "textAlign": "center" },
{ "type": "connector", "connector": {
"from": { "x": 80, "y": 480 }, "to": { "x": 80, "y": 55 },
"lineShape": "straight", "lineWidth": 2, "endArrow": "arrow"
}},
{ "type": "connector", "connector": {
"from": { "x": 80, "y": 480 }, "to": { "x": 1000, "y": 480 },
"lineShape": "straight", "lineWidth": 2, "endArrow": "arrow"
}},
{ "type": "connector", "connector": {
"from": { "x": 70, "y": 480 }, "to": { "x": 80, "y": 480 },
"lineShape": "straight", "lineWidth": 1,
"startArrow": "none", "endArrow": "none"
}},
{ "type": "text", "x": 20, "y": 470, "width": 50, "height": 20,
"text": "100", "fontSize": 12, "textAlign": "right" },
{ "type": "connector", "connector": {
"from": { "x": 70, "y": 380 }, "to": { "x": 80, "y": 380 },
"lineShape": "straight", "lineWidth": 1,
"startArrow": "none", "endArrow": "none"
}},
{ "type": "text", "x": 20, "y": 370, "width": 50, "height": 20,
"text": "130", "fontSize": 12, "textAlign": "right" },
{ "type": "connector", "connector": {
"from": { "x": 80, "y": 380 }, "to": { "x": 980, "y": 380 },
"lineShape": "straight", "lineWidth": 1, "lineStyle": "dashed",
"startArrow": "none", "endArrow": "none"
}},
{ "type": "connector", "connector": {
"from": { "x": 70, "y": 280 }, "to": { "x": 80, "y": 280 },
"lineShape": "straight", "lineWidth": 1,
"startArrow": "none", "endArrow": "none"
}},
{ "type": "text", "x": 20, "y": 270, "width": 50, "height": 20,
"text": "160", "fontSize": 12, "textAlign": "right" },
{ "type": "connector", "connector": {
"from": { "x": 80, "y": 280 }, "to": { "x": 980, "y": 280 },
"lineShape": "straight", "lineWidth": 1, "lineStyle": "dashed",
"startArrow": "none", "endArrow": "none"
}},
{ "type": "connector", "connector": {
"from": { "x": 70, "y": 180 }, "to": { "x": 80, "y": 180 },
"lineShape": "straight", "lineWidth": 1,
"startArrow": "none", "endArrow": "none"
}},
{ "type": "text", "x": 20, "y": 170, "width": 50, "height": 20,
"text": "190", "fontSize": 12, "textAlign": "right" },
{ "type": "connector", "connector": {
"from": { "x": 80, "y": 180 }, "to": { "x": 980, "y": 180 },
"lineShape": "straight", "lineWidth": 1, "lineStyle": "dashed",
"startArrow": "none", "endArrow": "none"
}},
{ "type": "connector", "connector": {
"from": { "x": 70, "y": 80 }, "to": { "x": 80, "y": 80 },
"lineShape": "straight", "lineWidth": 1,
"startArrow": "none", "endArrow": "none"
}},
{ "type": "text", "x": 20, "y": 70, "width": 50, "height": 20,
"text": "220", "fontSize": 12, "textAlign": "right" },
{ "type": "connector", "connector": {
"from": { "x": 80, "y": 80 }, "to": { "x": 980, "y": 80 },
"lineShape": "straight", "lineWidth": 1, "lineStyle": "dashed",
"startArrow": "none", "endArrow": "none"
}},
{ "type": "connector", "connector": {
"from": { "x": 80, "y": 413 }, "to": { "x": 380, "y": 147 },
"lineShape": "straight", "lineWidth": 3,
"startArrow": "none", "endArrow": "none"
}},
{ "type": "connector", "connector": {
"from": { "x": 380, "y": 147 }, "to": { "x": 680, "y": 313 },
"lineShape": "straight", "lineWidth": 3,
"startArrow": "none", "endArrow": "none"
}},
{ "type": "connector", "connector": {
"from": { "x": 680, "y": 313 }, "to": { "x": 980, "y": 213 },
"lineShape": "straight", "lineWidth": 3,
"startArrow": "none", "endArrow": "none"
}},
{ "type": "ellipse", "id": "pt-0", "x": 74, "y": 407,
"width": 12, "height": 12 },
{ "type": "text", "x": 55, "y": 383,
"width": 50, "height": 20,
"text": "120", "fontSize": 14, "textAlign": "center" },
{ "type": "text", "x": 50, "y": 490,
"width": 60, "height": 30,
"text": "Q1", "fontSize": 14, "textAlign": "center" },
{ "type": "ellipse", "id": "pt-1", "x": 374, "y": 141,
"width": 12, "height": 12 },
{ "type": "text", "x": 355, "y": 117,
"width": 50, "height": 20,
"text": "200", "fontSize": 14, "textAlign": "center" },
{ "type": "text", "x": 350, "y": 490,
"width": 60, "height": 30,
"text": "Q2", "fontSize": 14, "textAlign": "center" },
{ "type": "ellipse", "id": "pt-2", "x": 674, "y": 307,
"width": 12, "height": 12 },
{ "type": "text", "x": 655, "y": 283,
"width": 50, "height": 20,
"text": "150", "fontSize": 14, "textAlign": "center" },
{ "type": "text", "x": 650, "y": 490,
"width": 60, "height": 30,
"text": "Q3", "fontSize": 14, "textAlign": "center" },
{ "type": "ellipse", "id": "pt-3", "x": 974, "y": 207,
"width": 12, "height": 12 },
{ "type": "text", "x": 955, "y": 183,
"width": 50, "height": 20,
"text": "180", "fontSize": 14, "textAlign": "center" },
{ "type": "text", "x": 950, "y": 490,
"width": 60, "height": 30,
"text": "Q4", "fontSize": 14, "textAlign": "center" }
]
}
坐标推导验证:
- 点0 (Q1, 120): pointX = 80 + (0/3)*900 = 80, pointY = 480 - ((120-100)/120)*400 = 413
- 点1 (Q2, 200): pointX = 80 + (1/3)*900 = 380, pointY = 480 - ((200-100)/120)*400 = 147
- 点2 (Q3, 150): pointX = 80 + (2/3)*900 = 680, pointY = 480 - ((150-100)/120)*400 = 313
- 点3 (Q4, 180): pointX = 80 + (3/3)*900 = 980, pointY = 480 - ((180-100)/120)*400 = 213
- ellipse 定位:ellipseX = pointX - 6, ellipseY = pointY - 6
陷阱
- Y 轴范围不合理:若数据集中在 80-120,Y 轴从 0 到 120 会让折线挤在顶部一小段区域,应设 yMin 接近数据最小值
- 缺 Y 轴单位标注,读者无法理解数值含义
- 数据点太密时标注互相遮挡(超过 10 个点考虑隔一个标注一次)
- 折线段忘记设 endArrow: "none",默认带箭头
- 多系列时折线颜色相近难以区分,应使用对比度高的不同色系
此场景必须用 .cjs 脚本生成。Agent 使用时只需修改 data 数组,其余坐标与折线生成全自动计算。
const { writeFileSync } = require('fs');