更新bigscreen2的数据
This commit is contained in:
GongDragon
parent
931ffa3eb1
commit
3480ebd1ea
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@ -378,6 +378,31 @@ export default {
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title:['利率','货币','信贷','宏观指标','收入和融资','银行理财','整体杠杆','其他']
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}
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},
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methods:{
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getNearestWeekday() {
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// 获取当前日期
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const today = new Date();
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// 获取当前日期是星期几，0 表示星期日，1 - 6 分别表示星期一到星期六
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const dayOfWeek = today.getDay();
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if (dayOfWeek === 0) { // 如果是星期日
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// 距离最近的工作日是星期一，即日期加 1 天
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today.setDate(today.getDate() - 2 );
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} else if (dayOfWeek === 6) { // 如果是星期六
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// 距离最近的工作日是星期一，即日期加 2 天
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today.setDate(today.getDate() - 1 );
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}
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// 获取年、月、日
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const year = today.getFullYear();
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const month = today.getMonth() + 1; // 月份从 0 开始，所以要加 1
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const date = today.getDate();
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// 格式化日期
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return `${year}-${month}-${date}`;
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},
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},
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mounted(){
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// 健康指数 雷达图
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let radarData = [
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@ -449,7 +474,10 @@ export default {
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echarts3.setOption(option)
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// 轮播图
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const nearestWeekday = this.getNearestWeekday()
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const formatData = lunboData.map(item => {
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item.监测时间 = nearestWeekday + item.监测时间.substring(10)
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return [item.监测时间,item.名称,item.异常关联类型]
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})
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const config22 = {
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@ -4,8 +4,8 @@ import axios from 'axios'
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//
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const http = axios.create({
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//通用请求
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baseURL:'http://61.240.140.173:8000/',//后端的地址前缀
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// baseURL:'/api/',//后端的地址前缀
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// baseURL:'http://61.240.140.173:8000/',//后端的地址前缀
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baseURL:'/api/',//后端的地址前缀
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// withCredentials:truenpm run serve
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// async:true,
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// timeout:'10000',//10s 超时时间
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@ -1,17 +0,0 @@
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{
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"信息传输、软件和信息技术服务业-电信、广播电视和卫星传输服务": 3,
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"制造业-农副食品加工业": 1,
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"制造业-化学原料和化学制品制造业": 1,
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"制造业-医药制造业": 6,
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"制造业-汽车制造业": 2,
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"制造业-纺织服装、服饰业": 1,
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"制造业-计算机、通信和其他电子设备制造业": 2,
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"制造业-酒、饮料和精制茶制造业": 1,
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"制造业-金属制品业": 1,
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"制造业-非金属矿物制品业": 1,
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"房地产业-房地产业": 1,
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"批发和零售业-批发业": 2,
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"采矿业-有色金属矿采选业": 1,
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"金融业-货币金融服务": 12,
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"金融业-资本市场服务": 3
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}
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@ -1,13 +0,0 @@
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{
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"data": {
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"投资关系": 82.44588614888224,
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"操盘模式": 25,
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"财务状态": 54.00000000000001,
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"健康指数": 48,
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"运行状态": 58.56999999999999,
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"规模扩张": 20,
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"声誉风险": 65,
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"外部环境": 5,
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"等级": 5
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}
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}
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@ -1,7 +0,0 @@
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{
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"低风险": 1100,
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"中风险": 1184,
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"高风险": 1254,
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"综合风险水平": 396.2488397196951,
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"time": "2023_3"
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}
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@ -1,168 +0,0 @@
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{
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"date": [
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"2015-04-01",
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"2015-07-01",
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"2015-10-01",
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"2016-01-01",
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"2016-04-01",
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"2016-07-01",
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"2016-10-01",
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"2017-01-01",
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"2017-04-01",
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"2017-07-01",
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"2017-10-01",
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"2018-01-01",
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"2018-04-01",
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"2018-07-01",
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"2018-10-01",
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"2019-01-01",
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"2019-04-01",
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"2019-07-01",
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"2019-10-01",
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"2020-01-01",
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"2020-04-01",
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"2020-07-01",
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"2020-10-01",
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"2021-01-01",
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"2021-04-01",
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"2021-07-01",
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"2021-10-01",
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"2022-01-01",
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"2022-04-01",
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"2022-07-01",
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"2022-10-01",
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"2023-01-01",
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"2023-04-01",
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"2023-07-01",
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"2023-10-01",
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"2024-01-01"
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],
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"result": [
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{
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"name": "同配性",
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"type": "line",
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"data": [
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0.4985,
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0.2985,
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0.2319,
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0.4506,
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0.5392,
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0.6333,
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0.7169,
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0.7459,
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0.042,
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0.9029,
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0.3071,
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0.8063,
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0.2468,
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0.949,
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0.3416,
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0.0806,
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0.4001,
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0,
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0.2062,
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0.1758,
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0.4168,
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0.5231,
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0.4925,
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0.6429,
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0.2692,
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0.6903,
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0.2667,
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0.4596,
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0.1904,
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0.322,
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0.2009,
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0.396,
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0.26,
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0.2573,
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0.3491,
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0.1518
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]
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},
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{
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"name": "密度变化",
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"type": "line",
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"data": [
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0.3902,
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0.6051,
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0.3781,
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0.5526,
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0.2318,
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0.5384,
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0.1158,
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0,
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0.2995,
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0.4364,
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0.3556,
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0.6869,
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0.3709,
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0.6738,
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0.3697,
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0.5522,
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0.3703,
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0.5199,
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0.372,
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0.5106,
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0.3853,
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0.3365,
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0.3768,
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0.3294,
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0.3586,
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0.3214,
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0.3672,
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0.4708,
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0.375,
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0.593,
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0.3759,
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0.5206,
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0.3823,
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0.4553,
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0.3963,
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0.3862
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]
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},
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{
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"name": "聚类系数",
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"type": "line",
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"data": [
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0.372,
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0.4272,
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0.422,
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0.4679,
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0.1678,
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0.4082,
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0.2555,
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0.4204,
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0.9374,
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1,
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0.5736,
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0.36,
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0.2301,
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0.2503,
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0.1429,
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0.3658,
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0.1854,
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0.4307,
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0.4965,
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0.3533,
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0.4599,
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0.4534,
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0.4034,
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0.4552,
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0.0888,
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0.3441,
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0.2778,
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0.3663,
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0.406,
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0.4589,
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0.3206,
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0.5127,
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0.3964,
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0.6401,
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0.3115,
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0.6732
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]
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}
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]
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}
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