修改热力图渲染方式
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@@ -17,7 +17,8 @@ import {
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} from "@/apis";
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import { getElementRect } from "@/util";
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import { generateHeatmapImage } from "@/heatmap";
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import { generateKDEHeatmapImage } from "@/kde-heatmap";
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import useStore from "@/store";
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import { storeToRefs } from "pinia";
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@@ -61,75 +62,39 @@ const startScoring = () => {
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}
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};
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// 生成热力图测试数据
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const generateHeatMapData = (width, height, amount = 100) => {
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const data = [];
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const centerX = 0.5; // 中心点X坐标
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const centerY = 0.5; // 中心点Y坐标
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// 生成500条记录
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for (let i = 0; i < amount; i++) {
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let x, y, count;
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// 30%的数据集中在中心区域(高斯分布)
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if (Math.random() < 0.3) {
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// 使用正态分布生成中心区域的数据
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const angle = Math.random() * 2 * Math.PI;
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const radius = Math.sqrt(-2 * Math.log(Math.random())) * 0.15; // 标准差0.15
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x = centerX + radius * Math.cos(angle);
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y = centerY + radius * Math.sin(angle);
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count = Math.floor(Math.random() * 20);
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} else {
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x = Math.random() * 0.8 + 0.1; // 0.1-0.9范围
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y = Math.random() * 0.8 + 0.1;
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count = Math.floor(Math.random() * 20);
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}
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// 确保坐标在0-1范围内
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x = Math.max(0.05, Math.min(0.95, x));
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y = Math.max(0.05, Math.min(0.95, y));
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data.push({
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x: parseFloat(x.toFixed(3)),
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y: parseFloat(y.toFixed(3)),
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ring: Math.floor(Math.random() * 5) + 6, // 6-10环
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count: count,
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});
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}
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return data;
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};
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const loadData = async () => {
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const result = await getPointBookListAPI(1);
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list.value = result.slice(0, 3);
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const result2 = await getPointBookStatisticsAPI();
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data.value = result2;
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const rect = await getElementRect(".heat-map");
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// const testWeekArrows = generateHeatMapData(rect.width, rect.height);
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// result2.weekArrows = testWeekArrows;
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// console.log(result2.weekArrows)
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data.value = result2;
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let hot = 0;
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if (result2.checkInCount > -3 && result2.checkInCount < 3) hot = 1;
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else if (result2.checkInCount >= 3) hot = 2;
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else if (result2.checkInCount >= 5) hot = 3;
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else if (result2.checkInCount === 7) hot = 4;
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uni.$emit("update-hot", hot);
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setTimeout(async () => {
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try {
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const imagePath = await generateHeatmapImage(
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"heatMapCanvas",
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rect.width,
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rect.height,
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result2.weekArrows.filter((item) => item.x && item.y)
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);
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heatMapImageSrc.value = imagePath; // 存储生成的图片地址
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console.log("热力图图片地址:", imagePath);
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} catch (error) {
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console.error("生成热力图图片失败:", error);
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}
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}, 500);
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try {
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const imagePath = await generateKDEHeatmapImage(
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"heatMapCanvas",
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rect.width,
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rect.height,
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result2.weekArrows
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.filter((item) => item.x && item.y)
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.map((item) => [item.x, item.y]),
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{
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range: [0, 1], // 适配0-1坐标范围
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gridSize: 150, // 更高的网格密度,减少锯齿
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bandwidth: 0.15, // 稍小的带宽,让热力图更细腻
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showPoints: true, // 显示白色原始数据点
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}
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);
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heatMapImageSrc.value = imagePath; // 存储生成的图片地址
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console.log("热力图图片地址:", imagePath);
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} catch (error) {
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console.error("生成热力图图片失败:", error);
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}
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};
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watch(
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