2023-01-09 01:55:54 +00:00
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<template>
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2024-08-26 17:09:39 +00:00
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<div class="rtReport">
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<div class="realResult">
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<div class="box1"><span class="sp1"></span><span class="sp2">真实性检验结果</span></div>
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<div class="resContent">
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<el-table
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:header-cell-style="headerRowClass"
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:cell-style="tableRowClassName"
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style="width: 100%"
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:data="tDatas"
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:stripe="true"
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class="table-head-transparent"
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size="medium"
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>
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<el-table-column
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v-for="(item, index) in Object.keys(tData).slice(0, midValue)"
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:key="index"
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:label="item | truthFunFilter"
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:property="item"
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align="center"
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>
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<template slot-scope="scope">{{ scope.row[item] }}</template>
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</el-table-column>
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</el-table>
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<el-table
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:header-cell-style="headerRowClass"
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:cell-style="tableRowClassName"
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style="width: 100%; margin-top: 16px"
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:data="tDatas"
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:stripe="true"
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class="table-head-transparent"
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size="medium"
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>
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<el-table-column
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v-for="(item, index) in Object.keys(tData).slice(midValue)"
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:key="index"
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:label="item | truthFunFilter"
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:property="item"
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align="center"
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>
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<template slot-scope="scope">{{ scope.row[item] }}</template>
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</el-table-column>
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</el-table>
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<!--<span v-for="(item,index) in resMap" :key="index">{{item.name | truthFunFilter}}:{{item.val}}</span>-->
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<div v-if="meanError.length !== 0 && meanError !== []">
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<el-table
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:header-cell-style="headerRowClass"
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:cell-style="tableRowClassName"
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style="width: 100%"
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:data="meanError"
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:stripe="true"
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size="medium"
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>
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<el-table-column
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prop="8_0"
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label="平均相对误差:相对X轴误差"
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align="center"
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v-if="meanError[0]['8_0'] != null"
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>
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</el-table-column>
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<el-table-column
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prop="8_1"
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label="平均相对误差:相对Y轴误差"
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align="center"
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v-if="meanError[0]['8_1'] != null"
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>
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</el-table-column>
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<el-table-column
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prop="24_0"
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label="平均绝对相对误差:相对X轴误差"
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align="center"
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v-if="meanError[0]['24_0'] != null"
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>
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</el-table-column>
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<el-table-column
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prop="24_1"
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label="平均绝对相对误差:相对Y轴误差"
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align="center"
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v-if="meanError[0]['24_1'] != null"
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>
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</el-table-column>
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</el-table>
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</div>
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<!--<span>相对误差:</span>-->
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<!-- <div v-if="relativeError.length !== 0 && relativeError !== []">
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<el-table
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:data="relativeError"
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size="medium"
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>
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<el-table-column
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prop="cre_orthoXRelativeError"
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label="相对误差:相对X轴误差"
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align="center">
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</el-table-column>
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<el-table-column
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prop="cre_orthoYRelativeError"
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label="相对误差:相对Y轴误差"
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align="center">
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</el-table-column>
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</el-table>
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</div> -->
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</div>
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</div>
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<div class="errorGraph">
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<div class="box1">
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<span class="sp1"></span><span class="sp2">{{ pdSubTypeName }}误差结果图</span>
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</div>
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<div class="errContent">
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<div id="rtReportEcharts" ref="chart"></div>
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<div class="legend" v-if="pdSubType === 1">
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<div class="line">
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<span class="circle"></span>
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<span>样本点</span>
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</div>
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<div class="line">
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<span class="circle_2"></span>
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<span>选取点</span>
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</div>
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</div>
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<!-- <div class="erTip" v-else>
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<div class="echartReg">
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<span class="echartRegName"></span>
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<span>{{ erExpression }}</span>
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</div>
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<div class="echartReg" v-show="erR2 !== null">
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<span class="echartRegName"></span>
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<span>{{ erR2 }}</span>
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</div>
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</div> -->
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2024-08-26 17:09:39 +00:00
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</div>
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</div>
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2023-01-09 01:55:54 +00:00
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</div>
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</template>
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<script>
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import { productTypeMap } from "@/lib/variateMap";
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import { truthFunVal, productSubTypeVal } from "@/lib/contract";
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import * as turf from "@turf/turf";
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export default {
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props: {
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realRes: {
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require: true,
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},
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pdSubType: {
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require: true,
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},
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},
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filters: {
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truthFunFilter(truthFun) {
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const truthFunMap = {
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4: "平均误差",
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9: "平均绝对误差",
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5: "相对误差",
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8: "平均相对误差",
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24: "平均绝对相对误差",
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6: "均方根误差",
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23: "平面中误差",
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7: "相关系数",
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12: "误差矩阵",
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14: "总体分类精度",
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13: "Kappa系数",
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};
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return truthFunMap[truthFun];
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},
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},
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data() {
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return {
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resMap: [],
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myCharts: null,
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relativeError: [],
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meanError: [],
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pdSubTypeName: "",
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tData: {},
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tDatas: null,
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midValue: 10,
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erExpression: null,
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erR2: "0.037207",
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};
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},
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created() {
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this.initParam();
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},
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mounted() {
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this.myCharts = this.$echarts.init(this.$refs.chart);
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if (this.pdSubType === productSubTypeVal.ACS_ORTHOPHOTO) {
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this.drawOtgEchart(this.realRes.otgVal);
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let da = {};
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let dae = {};
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for (let i = 0; i < this.resMap.length; i++) {
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const o = this.resMap[i];
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if (typeof o.val === "number" || typeof o.val === "string") {
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da[o.name] = o.val;
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} else if (Number(o.name) === truthFunVal.ACM_MEANRELATIVEERROR) {
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dae[o.name + "_0"] = o.val.X轴平均相对误差;
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dae[o.name + "_1"] = o.val.Y轴平均相对误差;
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} else if (Number(o.name) === truthFunVal.ACM_MEANABSOLUTERELATIVEERROR) {
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dae[o.name + "_0"] = o.val.X轴平均相对绝对误差;
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dae[o.name + "_1"] = o.val.Y轴平均相对绝对误差;
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}
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}
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if (Object.keys(dae).length !== 0) {
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this.meanError = [dae];
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}
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this.tData = da;
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this.tDatas = [da];
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} else {
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this.drawPie(this.realRes.errorImageValue);
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let da = {};
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this.midValue =
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this.resMap.length - 1 >= 3
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? Math.ceil((this.resMap.length - 1) / 2)
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: this.resMap.length;
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for (let i = 0; i < this.resMap.length; i++) {
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const o = this.resMap[i];
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if (
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Number(o.name) === truthFunVal.ACM_RELATIVEERROR ||
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Number(o.name) === truthFunVal.ACM_REALVALLIST
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)
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continue; //跳过执行相对误差与真值列表
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da[o.name] =
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typeof o.val === "number" || typeof o.val === "string" ? o.val : o.val[0];
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}
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this.tDatas = [da];
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this.tData = da;
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}
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},
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methods: {
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headerRowClass() {
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return "background: #E4E9F1;text-align:center";
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},
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tableRowClassName({ rowIndex }) {
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if ((rowIndex + 1) % 2 !== 0) {
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return "background:#F5F7FA;text-align:center";
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} else {
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return "background:#FFFFFF;text-align:center";
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}
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},
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getProductDes() {
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let prodDes = null;
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switch (this.pdSubType) {
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case productSubTypeVal.ACS_DEM:
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prodDes = "米";
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break;
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case productSubTypeVal.ACS_BACKSCATTERINGCOEFFICIENT:
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prodDes = "dB";
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break;
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case productSubTypeVal.ACS_ATMOSPHERICDELAYCORRECTION:
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prodDes = "米";
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break;
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case productSubTypeVal.ACS_DEFORMATION:
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prodDes = "米";
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break;
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case productSubTypeVal.ACS_SOILMOISTURE:
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prodDes = "立方厘米/立方厘米";
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break;
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case productSubTypeVal.ACS_SOILSALINITYINVERSION:
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prodDes = "克/千克";
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break;
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case productSubTypeVal.ACS_SURFACEROUGHNESS:
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prodDes = "厘米";
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break;
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case productSubTypeVal.ACS_GROUNDVEGETATIONHEIGHT:
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prodDes = "单位:米";
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break;
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case productSubTypeVal.ACS_GROUNDLEAFAREAINDEX:
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prodDes = "LAI值";
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break;
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}
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return prodDes;
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},
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initParam() {
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// console.log('报告信息',this.realRes)
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if (this.realRes !== undefined) {
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this.pdSubTypeName = productTypeMap(this.pdSubType);
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const rr = this.realRes.report;
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if (this.pdSubType === productSubTypeVal.ACS_ORTHOPHOTO) {
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for (var i in rr) {
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let rVal = rr[i];
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switch (Number(i)) {
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case truthFunVal.ACM_RELATIVEERROR: //相对误差
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this.relativeError = rVal;
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break;
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case truthFunVal.ACM_MEANRELATIVEERROR: //平均相对误差
|
|
|
|
|
const objMap1 = {
|
|
|
|
|
cre_orthoXMeanRelativeError: "X轴平均相对误差",
|
|
|
|
|
cre_orthoYMeanRelativeError: "Y轴平均相对误差",
|
|
|
|
|
};
|
|
|
|
|
rVal = Object.fromEntries(
|
|
|
|
|
Object.entries(rVal).map(([k, v]) => [objMap1[k] || k, v])
|
|
|
|
|
);
|
|
|
|
|
this.resMap.push({ name: i, val: rVal });
|
|
|
|
|
break;
|
|
|
|
|
case truthFunVal.ACM_MEANABSOLUTERELATIVEERROR: //平均绝对相对误差
|
|
|
|
|
const objMap2 = {
|
|
|
|
|
cre_orthoXMeanAbsoluteRelativeError: "X轴平均相对绝对误差",
|
|
|
|
|
cre_orthoYMeanAbsoluteRelativeError: "Y轴平均相对绝对误差",
|
|
|
|
|
};
|
|
|
|
|
rVal = Object.fromEntries(
|
|
|
|
|
Object.entries(rVal).map(([k, v]) => [objMap2[k] || k, v])
|
|
|
|
|
);
|
|
|
|
|
this.resMap.push({ name: i, val: rVal });
|
|
|
|
|
break;
|
|
|
|
|
default:
|
|
|
|
|
this.resMap.push({ name: i, val: rVal });
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
} else {
|
|
|
|
|
for (var i in rr) {
|
|
|
|
|
let rVal = rr[i];
|
|
|
|
|
this.resMap.push({ name: i, val: rVal });
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
}
|
2023-01-09 01:55:54 +00:00
|
|
|
|
},
|
2024-08-26 17:09:39 +00:00
|
|
|
|
drawPie(errorVala) {
|
|
|
|
|
let data = [];
|
|
|
|
|
let xArr = [];
|
|
|
|
|
for (let i in errorVala) {
|
|
|
|
|
const a = [errorVala[i].cre_imageValue, errorVala[i].cre_deviation];
|
|
|
|
|
xArr.push(errorVala[i].cre_imageValue);
|
|
|
|
|
data.push(a);
|
|
|
|
|
}
|
|
|
|
|
// const x_limit = Math.abs(Math.max(...xArr) / xArr.length);
|
|
|
|
|
//多项式回归
|
|
|
|
|
let myRegression = this.echartRegression("polynomial", data, 1);
|
|
|
|
|
var option = {
|
|
|
|
|
title: {
|
|
|
|
|
text: this.pdSubTypeName + "误差结果图",
|
|
|
|
|
left: "center",
|
|
|
|
|
top: 16,
|
|
|
|
|
},
|
|
|
|
|
animation: false,
|
|
|
|
|
grid: {
|
|
|
|
|
right: "15%",
|
|
|
|
|
bottom: "25%",
|
|
|
|
|
},
|
|
|
|
|
toolbox: {
|
|
|
|
|
show: true,
|
|
|
|
|
orient: "vertical",
|
|
|
|
|
top: 10,
|
|
|
|
|
feature: {
|
|
|
|
|
dataZoom: {
|
|
|
|
|
title: {
|
|
|
|
|
zoom: "区域缩放",
|
|
|
|
|
back: "缩放还原",
|
|
|
|
|
},
|
|
|
|
|
yAxisIndex: "none",
|
|
|
|
|
},
|
|
|
|
|
myTool1: {
|
|
|
|
|
show: true,
|
|
|
|
|
title: "多项式回归1次",
|
|
|
|
|
icon: "path://M272.5,285.5h332m-171-137v296m89-224c-85.7,61.79-199.22,144.16-199,144",
|
|
|
|
|
onclick: () => {
|
|
|
|
|
myRegression = this.echartRegression("polynomial", data, 1);
|
|
|
|
|
option.series[1].data = myRegression.points;
|
|
|
|
|
this.myCharts.setOption(option);
|
|
|
|
|
},
|
|
|
|
|
},
|
|
|
|
|
myTool2: {
|
|
|
|
|
show: true,
|
|
|
|
|
title: "多项式回归2次",
|
|
|
|
|
icon: "path://M272.5,285.5h332m-171-137v296M338,219.21c5,112.41,55.28,190.63,93,192.37,38.46,1.77,90.59-74.67,91.71-192.82",
|
|
|
|
|
onclick: () => {
|
|
|
|
|
myRegression = this.echartRegression("polynomial", data, 2);
|
|
|
|
|
option.series[1].data = myRegression.points;
|
|
|
|
|
this.myCharts.setOption(option);
|
|
|
|
|
},
|
|
|
|
|
},
|
|
|
|
|
myTool3: {
|
|
|
|
|
show: true,
|
|
|
|
|
title: "多项式回归3次",
|
|
|
|
|
icon: "path://M272.5,285.5h332m-171-137v296M590,227c-24.25,54.05-59.27,114.65-98.35,113.21-51.58-1.9-71.15-110.45-119.35-110.68-21.39-.1-51.7,21.12-88.8,120",
|
|
|
|
|
onclick: () => {
|
|
|
|
|
myRegression = this.echartRegression("polynomial", data, 3);
|
|
|
|
|
option.series[1].data = myRegression.points;
|
|
|
|
|
this.myCharts.setOption(option);
|
|
|
|
|
},
|
|
|
|
|
},
|
|
|
|
|
restore: {
|
|
|
|
|
title: "还原",
|
|
|
|
|
icon: "path://M2.5 2v6h6M2.66 15.57a10 10 0 1 0 .57-8.38",
|
|
|
|
|
},
|
|
|
|
|
saveAsImage: {
|
|
|
|
|
title: "保存为图片",
|
|
|
|
|
},
|
|
|
|
|
},
|
|
|
|
|
},
|
|
|
|
|
dataZoom: [
|
|
|
|
|
{
|
|
|
|
|
type: "slider",
|
|
|
|
|
xAxisIndex: 0,
|
|
|
|
|
filterMode: "none",
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
type: "slider",
|
|
|
|
|
yAxisIndex: 0,
|
|
|
|
|
filterMode: "none",
|
|
|
|
|
right: "60",
|
|
|
|
|
},
|
|
|
|
|
],
|
|
|
|
|
legend: {
|
|
|
|
|
top: 20,
|
|
|
|
|
right: 45,
|
|
|
|
|
// selectedMode: false,
|
|
|
|
|
data: [
|
|
|
|
|
{
|
|
|
|
|
name: "erExpression",
|
|
|
|
|
icon: "circle",
|
|
|
|
|
},
|
|
|
|
|
// {
|
|
|
|
|
// name: "r2",
|
|
|
|
|
// icon: "circle",
|
|
|
|
|
// },
|
|
|
|
|
],
|
|
|
|
|
formatter: (name) => {
|
|
|
|
|
if (name === "erExpression") return this.erExpression;
|
|
|
|
|
else if (name === "r2") return this.erR2;
|
|
|
|
|
},
|
|
|
|
|
},
|
|
|
|
|
xAxis: {
|
|
|
|
|
name: "像元值(" + this.getProductDes() + ")",
|
|
|
|
|
nameLocation: "middle",
|
|
|
|
|
// min: Number((Math.min(...xArr) - x_limit).toFixed(5)),
|
|
|
|
|
// max: Number((Math.max(...xArr) + x_limit).toFixed(5)),
|
|
|
|
|
nameTextStyle: {
|
|
|
|
|
lineHeight: 30,
|
|
|
|
|
height: 60,
|
|
|
|
|
// fontWeight: "bold",
|
|
|
|
|
fontSize: 13,
|
|
|
|
|
},
|
|
|
|
|
},
|
|
|
|
|
yAxis: {
|
|
|
|
|
name: "误差",
|
|
|
|
|
nameTextStyle: {
|
|
|
|
|
lineHeight: 30,
|
|
|
|
|
height: 60,
|
|
|
|
|
// fontWeight: "bold",
|
|
|
|
|
fontSize: 13,
|
|
|
|
|
padding: [0, 0, 10, 0],
|
|
|
|
|
},
|
|
|
|
|
nameRotate: 90, // 因为是在rightMiddle 所以需要其翻转 将其改为负值
|
|
|
|
|
nameLocation: "center", // y轴name处于y轴的什么位置
|
|
|
|
|
},
|
|
|
|
|
series: [
|
|
|
|
|
{
|
|
|
|
|
name: "r2",
|
|
|
|
|
symbolSize: 10,
|
|
|
|
|
type: "scatter",
|
|
|
|
|
data: data,
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
name: "erExpression",
|
|
|
|
|
type: "line",
|
|
|
|
|
smooth: true,
|
|
|
|
|
showSymbol: false,
|
|
|
|
|
data: myRegression.points,
|
|
|
|
|
// itemStyle: {
|
|
|
|
|
// normal: {
|
|
|
|
|
// color: "#91cc75",
|
|
|
|
|
// lineStyle: {
|
|
|
|
|
// width: 3,
|
|
|
|
|
// },
|
|
|
|
|
// },
|
|
|
|
|
// },
|
|
|
|
|
},
|
|
|
|
|
],
|
|
|
|
|
};
|
|
|
|
|
option && this.myCharts.setOption(option);
|
2023-01-09 01:55:54 +00:00
|
|
|
|
},
|
2024-08-26 17:09:39 +00:00
|
|
|
|
drawOtgEchart(otgVal) {
|
|
|
|
|
let xl = [];
|
|
|
|
|
let yl = [];
|
|
|
|
|
let allData = [];
|
|
|
|
|
let allData1 = [];
|
|
|
|
|
let allData2 = [];
|
|
|
|
|
for (let i in otgVal) {
|
|
|
|
|
xl.push(otgVal[i].x);
|
|
|
|
|
yl.push(otgVal[i].y);
|
2023-01-09 01:55:54 +00:00
|
|
|
|
|
2024-08-26 17:09:39 +00:00
|
|
|
|
let ad = [];
|
|
|
|
|
ad.push(otgVal[i].x, otgVal[i].y);
|
|
|
|
|
allData.push(ad);
|
|
|
|
|
const j = Number(i) + 1;
|
|
|
|
|
if (Number.isInteger(j / 2)) {
|
|
|
|
|
// allData.push("-");
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
allData.forEach((item, index) => {
|
|
|
|
|
if (index % 2 === 0) {
|
|
|
|
|
allData1.push(item);
|
|
|
|
|
} else {
|
|
|
|
|
allData2.push(item);
|
|
|
|
|
}
|
|
|
|
|
});
|
2024-08-26 19:00:33 +00:00
|
|
|
|
// 计算两点角度
|
|
|
|
|
let bearingArr = [];
|
2024-08-26 17:09:39 +00:00
|
|
|
|
allData1.forEach((item, index) => {
|
|
|
|
|
let point1 = turf.point(item);
|
|
|
|
|
let point2 = turf.point(allData2[index]);
|
|
|
|
|
let bearing = turf.rhumbBearing(point2, point1);
|
|
|
|
|
bearingArr.push(bearing);
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
let xMax = Math.max(...xl),
|
|
|
|
|
xMin = Math.min(...xl);
|
|
|
|
|
let yMax = Math.max(...yl),
|
|
|
|
|
yMin = Math.min(...yl);
|
|
|
|
|
const avgxVal = (xMax - xMin) / 8;
|
|
|
|
|
const avgyVal = (yMax - yMin) / 8;
|
|
|
|
|
|
|
|
|
|
let option = {
|
|
|
|
|
grid: {
|
|
|
|
|
left: "14%",
|
|
|
|
|
},
|
|
|
|
|
animation: false,
|
|
|
|
|
xAxis: {
|
2024-08-26 19:00:33 +00:00
|
|
|
|
name: "X",
|
2024-08-26 17:09:39 +00:00
|
|
|
|
nameLocation: "middle",
|
|
|
|
|
nameTextStyle: {
|
|
|
|
|
lineHeight: 30,
|
|
|
|
|
height: 60,
|
|
|
|
|
fontWeight: "bold",
|
|
|
|
|
},
|
|
|
|
|
min: Number(xMin - avgxVal * 2).toFixed(4),
|
|
|
|
|
max: Number(xMax + avgxVal * 2).toFixed(4),
|
|
|
|
|
axisLabel: {
|
|
|
|
|
formatter: function (value) {
|
2024-08-26 19:00:33 +00:00
|
|
|
|
let pt = turf.point([value, 0]);
|
|
|
|
|
let converted = turf.toMercator(pt);
|
|
|
|
|
let num = converted.geometry.coordinates[0];
|
|
|
|
|
const p = Math.floor(Math.log(num) / Math.LN10);
|
|
|
|
|
const n = num * 10 ** -p;
|
|
|
|
|
return `${n.toFixed(4)}xe${p}`;
|
2024-08-26 17:09:39 +00:00
|
|
|
|
},
|
|
|
|
|
},
|
|
|
|
|
},
|
|
|
|
|
yAxis: {
|
2024-08-26 19:00:33 +00:00
|
|
|
|
name: "Y",
|
2024-08-26 17:09:39 +00:00
|
|
|
|
nameTextStyle: {
|
|
|
|
|
lineHeight: 30,
|
|
|
|
|
height: 60,
|
|
|
|
|
fontWeight: "bold",
|
|
|
|
|
},
|
|
|
|
|
min: Number(yMin - avgyVal * 2).toFixed(4),
|
|
|
|
|
max: Number(yMax + avgyVal * 2).toFixed(4),
|
|
|
|
|
axisLabel: {
|
|
|
|
|
formatter: function (value) {
|
2024-08-26 19:00:33 +00:00
|
|
|
|
let pt = turf.point([0, value]);
|
|
|
|
|
let converted = turf.toMercator(pt);
|
|
|
|
|
let num = converted.geometry.coordinates[1];
|
|
|
|
|
const p = Math.floor(Math.log(num) / Math.LN10);
|
|
|
|
|
const n = num * 10 ** -p;
|
|
|
|
|
return `${n.toFixed(4)}xe${p}`;
|
2024-08-26 17:09:39 +00:00
|
|
|
|
},
|
|
|
|
|
},
|
|
|
|
|
},
|
|
|
|
|
series: [
|
|
|
|
|
// {
|
|
|
|
|
// symbolSize: 8,
|
|
|
|
|
// data: allData,
|
|
|
|
|
// type: "line",
|
|
|
|
|
// itemStyle: {
|
|
|
|
|
// color: function (params) {
|
|
|
|
|
// if ((params.dataIndex + 1) % 3 === 2) return "#0000CD";
|
|
|
|
|
// },
|
|
|
|
|
// },
|
|
|
|
|
// },
|
|
|
|
|
{
|
|
|
|
|
symbol: "circle",
|
|
|
|
|
type: "scatter",
|
|
|
|
|
itemStyle: {
|
|
|
|
|
// 填充颜色
|
|
|
|
|
color: "rgba(255, 0, 0, 0)",
|
|
|
|
|
// 边框颜色
|
|
|
|
|
borderColor: "rgba(0, 0, 0, 1)",
|
|
|
|
|
// 边框宽度
|
|
|
|
|
borderWidth: 2,
|
|
|
|
|
// 边框圆角
|
|
|
|
|
borderRadius: 5,
|
|
|
|
|
},
|
|
|
|
|
symbolSize: 15,
|
|
|
|
|
data: allData1,
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
// symbol: "image://data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGQAAABkCAYAAABw4pVUAAAAAXNSR0IArs4c6QAAAjVJREFUeF7tmM1JAwEYBb90Yg1WYGeWYhd69OTVEjxagldlJeAfibtkIBOYgARk8/ZlJm/jupseKgI7VZvKTEJkH4KEJERGQFanhSRERkBWp4UkREZAVqeFJERGQFanhSRERkBWp4UkREZAVqeFJERGQFanhSRERkBWp4UkREZAVqeFJERGQFanhSRERkBWp4UkREZAVqeFJERGQFanhSRERkBWp4UkREZAVqeFJERGQFanhSRERkBWp4UkREZAVqeFJERGQFanhSRERkBWp4UkREaAq3M9M8+nxrWQUwl+vf59Zl5m5mFm7vfPy+82PRKyCdfRg3/Df9tLWQQtP69rTpWQNZTWHfPfGp6+CTp4aVuE3M7MzbpzdtQRAlsYHry0LUIeE3LWD9qPS1tCzuri8+R/hNzNzNX5e118A+ySdfEkJG8A+1KXvJ+Lr9GfvTKF3RjKhPSvE5kQpE536ghGLiQhHEskKSEIRi4kIRxLJCkhCEYuJCEcSyQpIQhGLiQhHEskKSEIRi4kIRxLJCkhCEYuJCEcSyQpIQhGLiQhHEskKSEIRi4kIRxLJCkhCEYuJCEcSyQpIQhGLiQhHEskKSEIRi4kIRxLJCkhCEYuJCEcSyQpIQhGLiQhHEskKSEIRi4kIRxLJCkhCEYuJCEcSyQpIQhGLiQhHEskKSEIRi4kIRxLJCkhCEYuJCEcSyQpIQhGLiQhHEskKSEIRi4kIRxLJCkhCEYuJCEcSyQpIQhGLuQDLNIwmfEn5ZUAAAAASUVORK5CYII=",
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2024-08-26 19:00:33 +00:00
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symbol: "image://data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAEsAAABLCAYAAAA4TnrqAAAAv0lEQVR4nO3UsUmEQRCA0U801cASxECwAUOrMLEly7CGM7OAM/ZSCxBzA0ERLjqQQ3G5X//3YLPdYWZ2dgMAAAAAAAAAAIBd25/hDVxUR9Xzdw/OsVmn1bK6qk6qt+ppAnlN0mX1vrFeqtvqujr+Kum9CRe1HBT3sDrbsue+WlR31WpQHr9q8/Z3tR6rm8/CDibcrIdBcf/lZI3y4z9rypM12mo9OYv1JG01x2a9Vudzf14AAAAAAAAAAAD8RdUHTdhBNENzGoYAAAAASUVORK5CYII=",
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2024-08-26 17:09:39 +00:00
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symbolRotate: (number, params) => {
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console.log(number, params);
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return bearingArr[params.dataIndex];
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},
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// symbolOffset: ["20%", "-5%"],
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type: "scatter",
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symbolSize: 60,
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data: allData1,
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},
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],
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};
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option && this.myCharts.setOption(option);
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2023-01-09 01:55:54 +00:00
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},
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2024-08-26 17:09:39 +00:00
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echartRegression(regressionType, data, order) {
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//regressionType:回归类型'linear', 'exponential', 'logarithmic', 'polynomial';order:多项式的阶数(number)。对于非多项式回归,可以忽略该参数。
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let myRegression = this.$ecstat.regression(regressionType, data, order);
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myRegression.points.sort(function (a, b) {
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return a[0] - b[0];
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});
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this.erExpression = myRegression.expression;
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return myRegression;
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2023-01-09 01:55:54 +00:00
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},
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2023-10-09 05:52:02 +00:00
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},
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2023-01-09 01:55:54 +00:00
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};
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</script>
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2024-08-26 17:09:39 +00:00
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2023-01-09 01:55:54 +00:00
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<style scoped lang="less">
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.rtReport {
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2024-08-26 17:09:39 +00:00
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width: 100%;
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height: 100%;
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2023-01-09 01:55:54 +00:00
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}
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.realResult {
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2024-08-26 17:09:39 +00:00
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width: 100%;
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height: calc(55% - 5px);
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background-color: white;
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margin-bottom: 5px;
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2023-01-09 01:55:54 +00:00
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}
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.errorGraph {
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2024-08-26 17:09:39 +00:00
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width: 100%;
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height: 45%;
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background-color: white;
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2023-01-09 01:55:54 +00:00
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}
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.resContent {
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2024-08-26 17:09:39 +00:00
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border: 1px black solid;
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height: calc(100% - 60px);
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width: calc(100% - 20px);
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2023-01-09 01:55:54 +00:00
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margin: 10px;
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2024-08-26 17:09:39 +00:00
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font-size: 20px;
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overflow-y: scroll;
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span {
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display: block;
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margin: 10px;
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}
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2023-01-09 01:55:54 +00:00
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}
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.errContent {
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2024-08-26 17:09:39 +00:00
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border: 1px black solid;
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height: calc(100% - 60px);
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width: calc(100% - 20px);
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margin: 10px;
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position: relative;
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2023-01-09 01:55:54 +00:00
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}
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#rtReportEcharts {
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2024-08-26 17:09:39 +00:00
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width: 100%;
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height: 100%;
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position: relative;
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2023-01-09 01:55:54 +00:00
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}
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.box1 {
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2024-08-26 17:09:39 +00:00
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height: 40px;
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line-height: 40px;
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border-bottom: 1px solid rgb(205, 205, 205, 0.5);
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2023-01-09 01:55:54 +00:00
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}
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.sp1 {
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2024-08-26 17:09:39 +00:00
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display: inline-block;
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width: 7px;
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height: 26px;
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background-color: #354595;
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vertical-align: top;
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margin-left: 20px;
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margin-top: 8px;
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2023-01-09 01:55:54 +00:00
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}
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.sp2 {
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2024-08-26 17:09:39 +00:00
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margin-left: 10px;
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font-size: 20px;
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font-weight: 700;
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color: #354595;
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vertical-align: top;
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2023-01-09 01:55:54 +00:00
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}
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.legend {
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2024-08-26 17:09:39 +00:00
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position: absolute;
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top: 20px;
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right: 20px;
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background-color: transparent;
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text-align: center;
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display: flex;
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justify-content: center;
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align-items: center;
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.line {
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height: 20px;
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line-height: 20px;
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margin: 0 5px;
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.circle {
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display: inline-block;
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width: 7px;
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height: 7px;
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border: 1px solid rgb(194, 53, 49);
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border-radius: 50%;
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margin-right: 5px;
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}
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.circle_2 {
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display: inline-block;
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width: 7px;
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height: 7px;
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border-radius: 50%;
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margin-right: 5px;
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border: 1px solid #0000cd;
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}
|
2023-01-09 01:55:54 +00:00
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}
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}
|
2023-10-09 05:52:02 +00:00
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.erTip {
|
2024-08-26 17:09:39 +00:00
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position: absolute;
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top: 10px;
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right: 26px;
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font-size: small;
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text-align: end;
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.echartReg {
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height: 20px;
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line-height: 20px;
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margin: 0 5px;
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.echartRegName {
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display: inline-block;
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width: 9px;
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height: 9px;
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background-color: #7a96c6;
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// border: 1px solid #7A96C6;
|
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border-radius: 50%;
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|
margin-right: 5px;
|
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|
}
|
2023-10-09 05:52:02 +00:00
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|
|
|
}
|
|
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|
|
}
|
2023-01-09 01:55:54 +00:00
|
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</style>
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