'tj'

src/views/digitalMarketingAlgorithms/components/clusterAnalysis.vue

@@ -395,7 +395,6 @@ onMounted(() => {
   var chartDom = document.getElementById("main");
   var chartDom2 = document.getElementById("main2");
   myChart = echarts.init(chartDom);
-  472;
   myChart2 = echarts.init(chartDom2);
   // 初始化图表配置
   var option = {

src/views/digitalMarketingAlgorithms/components/regressionAnalysis.vue

@@ -82,7 +82,7 @@
       </el-scrollbar>
     </div>
     <div class="main-right">
-      <el-scrollbar height="500px" ref="scrollbar" style="padding: 20px">
+      <el-scrollbar height="590px" ref="scrollbar" style="padding: 20px">
         <div>
           <span style="font-weight: bold; font-size: 18px; color: #3596eb">分析数据：</span>
           <el-table :data="tableData2" style="width: 98%; margin-top: 10px" :header-cell-style="headerCellStyle" height="350">
@@ -103,6 +103,11 @@
             </el-table-column>
           </el-table>
         </div>
+        <div class="pdfRef" id="pdfRef" style="margin-top: 20px; display: flex" v-show="flagUP">
+          <div style="background: #ffffff">
+            <div id="main" style="width: 550px; height: 500px"></div>
+          </div>
+        </div>
       </el-scrollbar>
     </div>
   </div>
@@ -398,10 +403,83 @@ const handleChange = (info) => {
   fileList.value.push(info);
 };
 const flag = ref(false);
+let myChart;
+const getRandomColorHex = () => {
+  const randomValue = (min, max) => {
+    // 生成 min 到 max 之间的随机整数
+    const value = Math.floor(Math.random() * (max - min + 1)) + min;
+    // 将整数转换为两位十六进制形式
+    return value.toString(16).padStart(2, "0");
+  };
+
+  // 限制红色通道较低，绿色和蓝色通道较高
+  const r = randomValue(0, 128); // 红色通道较低 (0-128)
+  const g = randomValue(128, 255); // 绿色通道较高 (128-255)
+  const b = randomValue(128, 255); // 蓝色通道较高 (128-255)
+
+  return `#${r}${g}${b}`;
+};
+//图标添加数据
+const addData = (myChart, newData, color) => {
+  // 获取当前的数据
+  let currentData = myChart.getOption().series[0].data || [];
+  // 添加新数据集，并为每个数据点单独设置颜色
+  if(input5.value[0]==="sales_forehead"){
+    newData.forEach((dataPoint) => {
+    currentData.push({
+      value: [dataPoint.sales_forehead, dataPoint.sales_volume],
+      itemStyle: { color: color },
+    });
+  });
+  }else{
+    newData.forEach((dataPoint) => {
+    currentData.push({
+      value: [dataPoint.sales_volume, dataPoint.sales_forehead],
+      itemStyle: { color: color },
+    });
+  });
+  }
+ 
+
+  // 更新图表
+  myChart.setOption({
+    series: [
+      {
+        data: currentData,
+      },
+    ],
+  });
+};
 
 onMounted(() => {
   getList();
   optionData();
+  var chartDom = document.getElementById("main");
+  myChart = echarts.init(chartDom);
+  var option = {
+    dataset: [
+      {
+        source: [], // 初始时数据为空
+      },
+    ],
+    tooltip: {
+      position: "top",
+    },
+    xAxis: {},
+    yAxis: {},
+    series: [
+      {
+        type: "scatter",
+        encode: { tooltip: [0, 1] },
+        symbolSize: 8,
+        itemStyle: {
+          borderColor: "#555",
+        },
+      },
+    ],
+  };
+  // 设置初始的配置
+  myChart.setOption(option);
 });
 
 const optionData = () => {
@@ -532,35 +610,6 @@ const computation = () => {
       userId: JSON.parse(getUserInfo()).userId,
     };
     loading1.value = true;
-    if (input4.value === "线性回归") {
-      if (input5.value.length > 1) {
-        proxy.$modal.msgError("y变量数量有误！");
-        return;
-      }
-      if (input6.value.length != 2 || input6.value.length > 2) {
-        proxy.$modal.msgError("x变量数量有误！");
-        return;
-      }
-      flagColumn.value = true;
-      tableData2.value.forEach((item) => {
-        sendData.y.push(item[input5.value[0]]);
-        sendData.x.push([item[input6.value[0]], item[input6.value[1]]]);
-      });
-      API.linearRegression(sendData).then((res) => {
-        tableLabel2.length = 0;
-        for (const key in res.data) {
-          tableLabel2.push({
-            label: key,
-            prop: key,
-          });
-        }
-        let data = res.data;
-        data.slopes = data.slopes.join(",");
-        tableData3.value = [data];
-        predictionResults.value = "";
-        loading1.value = false;
-      });
-    } else {
       if (input5.value.length > 1) {
         proxy.$modal.msgError("y变量数量有误！");
         return;
@@ -591,7 +640,16 @@ const computation = () => {
         predictionResults.value = "";
         loading1.value = true;
       });
-    }
+      //表格
+      myChart.setOption({
+            series: [
+              {
+                data: [], // 清空数据
+              },
+            ],
+          });
+            const bgColor = getRandomColorHex();
+            addData(myChart,tableData2.value,bgColor)
   } else {
     proxy.$modal.msgWarning("请模型参数进行设置！");
   }