echarts基础知识学习

1.echarts简介

ECharts,一个使用 JavaScript 实现的开源可视化库,兼容当前绝大部分浏览器(IE8/9/10/11,Chrome,Firefox,Safari等)

2.在react中安装echarts

在项目中安装:

npm install --save echarts-for-react
npm install echarts --save //如果有报错找不到echarts模块,需要在安装一下exharts'

3.引用

引用 echarts/lib/** 还是 echarts/src/**

  • 项目中如果直接引用 echarts 里的一些模块并自行构建,应该使用 echarts/lib/** 路径,而不可使用 echarts/src/**

  • 当使用构建脚本 echarts/build/build.js 打包 bundle,那么两者可以选其一使用(不可混用),使用 echarts/src/** 可以获得稍微小一些的文件体积。

    原因是:

    目前,echarts/src/** 中是采用 ES Module 的源代码,echarts/lib/** 中是 echarts/src/** 编译成为 CommonJS 后的产物(编译成 CommonJS 是为了向后兼容一些不支持 ES Module 的老版本 NodeJS 和 webpack)。 因为历史上,各个 echarts 扩展、各个用户项目,一直是使用的包路径是 echarts/lib/**,所以这个路径不应该改变,否则,可能导致混合使用 echarts/src/**echarts/lib/** 得到两个不同的 echarts 名空间,造成问题。而使用 echarts/build/build.js 打包 bundle 时没有涉及这个问题,echarts/src/** 中的 ES Module 便于静态分析从而得到稍微小些的文件体积。

4.使用webpack自定义构建

(1)在项目中安装:

npm install webpack --save-dev

(2)按需引入模块单文件:(推荐)

默认使用 require('echarts') 得到的是已经加载了所有图表和组件的 ECharts 包,因此体积会比较大,如果在项目中对体积要求比较苛刻,也可以只按需引入需要的模块.

  • 使用require引入
//引入echarts主模块
import echarts from 'echarts/lib/echarts';
//引入提示框
require ('echarts/lib/component/tooltip');
//引入图例
require ('echarts/lib/component/legend');
//引入直角坐标系网格
require ('echarts/lib/component/grid');
//引入标题
require ('echarts/lib/component/title');
//引入线段
require ('echarts/lib/chart/line');
  • 使用import引入
import 'echarts/lib/component/tooltip';
import 'echarts/lib/component/legend';
import 'echarts/lib/component/grid';
import 'echarts/lib/component/title';
import 'echarts/lib/chart/line';

(3)初始化:

​ 通过require获得echarts接口(或者命名空间)后可实例化图表,echarts接口仅有一个方法init,执行init时传入一个具备大小的dom节点(width、height可被计算得到即可,不一定可见)后即可实例化出图表对象,图表库实现为多实例的,同一页面可在多个dom上init出多个图表,同一个dom上多次init将自动释放已有实例

     //渲染return(<div id="main" style={{ width: '100%', height: 600 }}></div>);// 基于准备好的dom,初始化echarts实例var myChart = echarts.init(document.getElementById('main'));// 绘制图表myChart.setOption(title: {...},               grid: {containLabel: true},xAxis: {...},/**直角坐标系 */grid: {...},yAxis: {...}, series: [{  ...}],                 });

(4)柱状图测试示例:

import React, { Component } from 'react';// 引入 ECharts 主模块
import echarts from 'echarts/lib/echarts';
// 引入柱状图
import  'echarts/lib/chart/line';
// 引入提示框和标题组件
import 'echarts/lib/component/tooltip';
import 'echarts/lib/component/title';class EchartsTest extends Component {componentDidMount() {// 基于准备好的dom,初始化echarts实例var myChart = echarts.init(document.getElementById('main'));// 绘制图表myChart.setOption({title: { text: 'ECharts 入门示例' },tooltip: {},xAxis: {data: ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]},yAxis: {},series: [{name: '销量',type: 'line',data: [5, 20, 36, 10, 10, 20]}]});}render() {return (<div id="main" style={{ width: 400, height: 400 }}></div>);}
}
export default EchartsTest;

(5)显示单条折线示例:

import React,{Component} from 'react';
//引入自定义样式
import LineStyles from './LineDemo.less';//引入echarts主模块
import echarts from 'echarts/lib/echarts';
//引入提示框
require ('echarts/lib/component/tooltip');
//引入图例
require ('echarts/lib/component/legend');
//引入直角坐标系
require ('echarts/lib/component/grid');
//引入标题
require ('echarts/lib/component/title');
//引入线段
require ('echarts/lib/chart/line');class SingleLine extends Component{componentDidMount() {// 基于准备好的dom,初始化echarts实例var myChart = echarts.init(document.getElementById('main'));// 绘制图表myChart.setOption({title: {text: '折线图',left: 'center'},               grid: {containLabel: true},xAxis: {type: 'category',name: 'x',splitLine: {show: false},  //坐标轴在 grid 区域中的分隔线data: ['15:02:39', '15:03:18', '15:03:57', '15:04:36','15:05:15','15:05:54'],},/**直角坐标系 */grid: {left: '3%',right: '4%',bottom: '10%',/** 区域是否包含坐标轴的刻度标签,* 值为true时:* 常用于『防止标签溢出』的场景,标签溢出指的是,标签长度动态变化时,可能会溢出容器或者覆盖其他组件 */containLabel: true },yAxis: {type: 'log', //'log' 对数轴,适用于对数数据name: 'y'},series: [{name: '1的指数',type: 'line', data:[104.1, 103.5, 104.2, 102.9,104.3,103.9,103.2]}],                 });    }  render() {return (<div id="main" className={LineStyles.main}></div>);}
}export default SingleLine;

5.图表相关配置

  • 设置折线的粗细、颜色
 /**设置直线的颜色,粗细 */                       itemStyle: {normal: {color: 'rgb(192,0, 192)',lineStyle:{type: 'solid',width: 5  //设置线条粗细}}},
  • 设置折线上圆点是否显示
/**showSymbol设置折线图中的拐点是否显示* 1.值为true时显示,* 2.值为false时不显示* 3.showSymbol:6,指定拐点的大小*  */showSymbol:false,
  • 设置坐标轴
          xAxis:[{           show:false,  //设置x轴不显示,默认显示                       }],yAxis:[{show:false,  //设置y轴不显示,默认显示                         }],
  • 设置网格线、坐标轴文字、坐标轴轴线
                  axislabel:{show:false, //设置坐标轴的文字是否显示},axisTick:{  //决定是否显示坐标刻度alignWithLabel:true,show:false,},     splitLine:{show:false, //网格线是否显示lineStyle:{color:'green', //设置网格线的颜色}},axisLine:{lineStyle:{color:'red', //坐标轴的轴线颜色width:0     //这里是坐标轴的宽度,为0就是不显示}},
  • 折线图示例:
import React,{Component} from 'react';
//引入自定义样式
import LineStyles from './LineDemo.less';//引入echarts主模块
import echarts from 'echarts/lib/echarts';
//引入提示框
require ('echarts/lib/component/tooltip');
//引入图例
require ('echarts/lib/component/legend');
//引入直角坐标系
require ('echarts/lib/component/grid');
//引入标题
require ('echarts/lib/component/title');
//引入线段
require ('echarts/lib/chart/line');class SingleLine extends Component{componentDidMount() {// 基于准备好的dom,初始化echarts实例var myChart = echarts.init(document.getElementById('main'));// 绘制图表myChart.setOption({title: {text: '折线图',left: 'center'},               grid: {containLabel: true},xAxis: {type: 'category',name: 'x',splitLine: {show: false},  //坐标轴在 grid 区域中的分隔线data: ['15:02:39', '15:03:18', '15:03:57', '15:04:36','15:05:15','15:05:54'],},/**直角坐标系 */grid: {left: '3%',right: '4%',bottom: '10%',/** 区域是否包含坐标轴的刻度标签,* 值为true时:* 常用于『防止标签溢出』的场景,标签溢出指的是,标签长度动态变化时,可能会溢出容器或者覆盖其他组件 */containLabel: true },yAxis: {type: 'log', //'log' 对数轴,适用于对数数据name: 'y'},series: [{name: '1的指数',type: 'line',/**设置直线的颜色,粗细 */                       itemStyle: {normal: {color: 'rgb(192,0, 192)',lineStyle:{type: 'solid',width: 5  //设置线条粗细}}},/**showSymbol设置折线图中的拐点是否显示* 1.值为true时显示,* 2.值为false时不显示* 3.showSymbol:6,指定拐点的大小*  */showSymbol:false,   data:[104.1, 103.5, 104.2, 102.9,104.3,103.9,103.2], }],                 });    }render() {return (<div id="main" className={LineStyles.main}></div>);}
}export default SingleLine;
  • 柱状图示例:
import React, { Component } from 'react';// 引入 ECharts 主模块
import echarts from 'echarts/lib/echarts';
// 引入柱状图
import  'echarts/lib/chart/bar';
// 引入提示框和标题组件
import 'echarts/lib/component/tooltip';
import 'echarts/lib/component/title';/*** 单个柱状图显示*/
class EchartsBar3 extends Component {componentDidMount() {// 基于准备好的dom,初始化echarts实例var myChart = echarts.init(document.getElementById('main'));// 绘制图表myChart.setOption({title:{text:'世界人口总量',// 副标题subtext:'数据来自网络'},legend: {data: ['2011年', '2012年','2013年']},xAxis: {// show:false,type: 'value',boundaryGap: [0, 0.01]},yAxis: {// show:false,type: 'category',data: ['巴西','印尼','美国','印度','中国','世界人口(万)']},series:[{name:'2011年',type:'bar',// 设置柱状图的宽度barWidth:10,// 设置柱状图之间的距离barGap:0,color:'rgb(0,194,0)',data:[19325]},{name:'2012年',type:'bar',barWidth:1,barGap:0,color:'rgb(0,0,0)',data:[19325]},{name:'2013年',type:'bar',barWidth:10,barGap:0,color:'rgb(255,255,0)',data:[19325]},            ]});}render(){return(<div id="main" style={{ width: '100%', height: 600 }}></div>);}
}
export default EchartsBar3;

6.实现数据分离(显示折线)

  • SingleLine3Common.js
import React,{Component} from 'react';//引入提示框
require ('echarts/lib/component/tooltip');
//引入图例
require ('echarts/lib/component/legend');
//引入直角坐标系
require ('echarts/lib/component/grid');
//引入标题
require ('echarts/lib/component/title');
//引入线段
require ('echarts/lib/chart/line');export const renderLineChart=function(data,title,xAxis,series,seriesValue){let option = {tooltip: {trigger: 'axis'},grid: {left: '3%',right: '4%',bottom: '3%',containLabel: true},toolbox: {feature: {saveAsImage: {}}},legend: {data:[]},yAxis: {// show:false,  //设置是否显示坐标轴type: 'value'},xAxis: {// show:false,  //设置是否显示坐标轴type: 'category',boundaryGap: false,data: []},series: []};//绘制图形data.map(function (item){//设置图例option.legend.data.push(item[title]);//给series赋值option.series.push({name:item[title],type:'line',data:renderSeries(item[series],seriesValue),/**设置直线的颜色,粗细 */                       itemStyle: {normal: {color: 'rgb(0,255, 0)',//线条样式lineStyle:{type: 'solid',width: 1  //设置线条粗细}}},showSymbol:false,  //设置折线上的圆点})});//给x轴赋值data.map(function (item){          item.data.map(function (item){option.xAxis.data.push(item[xAxis]);})           });//过滤,将x轴不存在的加进去,存在的不要加进去option.xAxis.data=Array.from(new Set(option.xAxis.data));console.log(option);  return option;
};//再次遍历,给y轴赋值
export const renderSeries=function(data,value){let result=[];data.map(function (item){result.push(item[value]);});return result;
};
  • SingleLine3.js
import React,{Component} from 'react';//引入echarts主模块
import echarts from 'echarts/lib/echarts';
//引入提示框
require ('echarts/lib/component/tooltip');
//引入图例
require ('echarts/lib/component/legend');
//引入直角坐标系
require ('echarts/lib/component/grid');
//引入标题
require ('echarts/lib/component/title');
//引入线段
require ('echarts/lib/chart/line');class SingleLine3 extends Component{/**设置渲染状态id */state={id:Math.random().toString()};componentDidMount() { /**设置状态id* 1.this.props.id* 2.this.state.id*/let myCharts=echarts.init(document.getElementById(this.state.id));  myCharts.setOption(this.props.option);}render() {return (<div id={this.state.id} style={{width:'100%',height:600}}></div>);}
}
export default SingleLine3;
  • App3.js
import React,{Component} from 'react';//引入提示框
require ('echarts/lib/component/tooltip');
//引入图例
require ('echarts/lib/component/legend');
//引入直角坐标系
require ('echarts/lib/component/grid');
//引入标题
require ('echarts/lib/component/title');
//引入线段
require ('echarts/lib/chart/line');
import SingleLine3 from './SingleLine3';
import {renderLineChart} from "./SingleLine3Common";class App3 extends Component{state={data:[{title:"第一条折线",data:[{name:'星期一',total:Math.random().toFixed(2),},{name:'星期二',total:Math.random().toFixed(2),},{name:'星期三',total:Math.random().toFixed(2),},{name:'星期四',total:Math.random().toFixed(2),},{name:'星期五',total:Math.random().toFixed(2),},{name:'星期六',total:Math.random().toFixed(2),},{name:'星期天',total:Math.random().toFixed(2),},]},{title:"第二条折线",data:[{name:'星期一',total:Math.random().toFixed(2),},{name:'星期二',total:Math.random().toFixed(2),},{name:'星期三',total:Math.random().toFixed(2),},{name:'星期四',total:Math.random().toFixed(2),},{name:'星期五',total:Math.random().toFixed(2),},{name:'星期六',total:Math.random().toFixed(2),},{name:'星期天',total:Math.random().toFixed(2),},]},]};   render() {const {data}=this.state;return (           <div className="App" style={{padding:20}}><SingleLine3  option={renderLineChart(data,'title','name','data','total')}/></div>);}
}export default App3;

7.显示单轴

  • 示例:
import React,{Component} from 'react';import echarts from 'echarts/lib/echarts';
import 'echarts/lib/component/title';
import 'echarts/lib/component/legend';
import 'echarts/lib/chart/line';class KilometerTest extends Component{componentDidMount() {// 基于准备好的dom,初始化echarts实例var myChart = echarts.init(document.getElementById('main'));// 绘制图表myChart.setOption({xAxis: {type: 'category',// boundaryGap: false,//坐标轴两边留白策略,类目轴和非类目轴的设置和表现不一样axisTick: {//决定是否显示坐标刻度  alignWithLabel: true,show:true},axisLabel:{  //决定是否显示数据  show:true},splitLine:{  //决定是否显示坐标中网格show:false},data: ['306.493Km', '305.419Km', '304.205Km', '302.975Km', '301.677Km', '300.450Km', '200.146Km'],},yAxis: {show:false,type: 'value'},series: [{// data: [820, 932, 901, 934, 1290, 1330, 1320],type: 'line',}]});}render(){return(<div id="main" style={{ width: '100%', height: 600 }}></div>);}
}
export default KilometerTest;

8.显示柱状图

  • 示例:
import React, { Component } from 'react';// 引入 ECharts 主模块
import echarts from 'echarts/lib/echarts';
// 引入柱状图
import  'echarts/lib/chart/bar';
// 引入提示框和标题组件
import 'echarts/lib/component/tooltip';
import 'echarts/lib/component/title';/*** 单个柱状图显示*/
class EchartsBar3 extends Component {componentDidMount() {// 基于准备好的dom,初始化echarts实例var myChart = echarts.init(document.getElementById('main'));// 绘制图表myChart.setOption({title:{text:'世界人口总量',// 副标题subtext:'数据来自网络'},legend: {data: ['2011年', '2012年','2013年']},xAxis: {// show:false,  //设置x轴是否显示type: 'value',splitLine:{  //决定是否显示坐标中网格show:false,},boundaryGap: false, //坐标轴两边留白策略,类目轴和非类目轴的设置和表现不一样},yAxis: {// show:false, //设置y轴是否显示type: 'category',splitLine:[{show:false,}],data: ['巴西','印尼','美国','印度','中国','世界人口(万)']},series:[{name:'2011年',type:'bar',// 设置柱状图的宽度barWidth:10,// 设置柱状图之间的距离barGap:0,       color:'rgb(0,194,0)',data:[19325]},{name:'2012年',type:'bar',barWidth:1,barGap:0,color:'rgb(0,0,0)',data:[19325]},{name:'2013年',type:'bar',barWidth:10,barGap:0,color:'rgb(255,255,0)',data:[19325]},            ]});}render(){return(<div id="main" style={{ width: '100%', height: 600 }}></div>);}
}
export default EchartsBar3;

9.引入水平滑动条

  • 引用:
require ('echarts/lib/component/dataZoom');
  • 示例:
                /**引入水平滑动条 */dataZoom:[{   // 这个dataZoom组件,默认控制x轴。type: 'slider', // 这个 dataZoom 组件是 slider 型 dataZoom 组件start: 1,      // 左边在 1% 的位置。end: 30         // 右边在 30% 的位置。},{   // 这个dataZoom组件,也控制x轴。type: 'inside', // 这个 dataZoom 组件是 inside 型 dataZoom 组件start: 1,      // 左边在 1% 的位置。end: 30         // 右边在 30% 的位置。}],

10.折线实现渐变色

  • 1.series中设置折线颜色变化
        /** 线性渐变,前四个参数分别是 x0, y0, x2, y2, 分别表示:右,下,左,上* 范围从 0 - 1,相当于在图形包围盒中的百分比,如果 globalCoord 为 `true`,*则该四个值是绝对的像素位置 */color:{globalCoord:true,type:'liner',x:0,y:0,x2:0,y2:1,                      /** 一条直线实现三种颜色渐变:* 1.从0-0.4显示第一种颜色,占直线40%* 2.从0.4-0.6显示第二种颜色,占直线20% * 3.从0.6-1显示第三种颜色,占直线40%* */    colorStops:[{offset:0,color:'rgb(255,255,0)'},{offset:0.4,color:'rgb(255,255,0)'},{offset:0.4,color:'rgb(0, 0, 255)' },{offset:0.6,color:'rgb(0, 0, 255)' },{offset:0.6,color:'rgb(255, 0, 0)'},{offset:1,color:'rgb(255, 0, 0)'}          ],global:false,//缺省为false},
  • 2.实现折线渐变色
   normal: {color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [{offset: 0,color: 'rgba(112, 108, 246, 0.6)'}, {offset: 1,color: '#fff'}])}
  • 示例:
import React,{Component} from 'react';import echarts from 'echarts/lib/echarts';
import 'echarts/lib/chart/line';class colorStops extends Component{componentDidMount(){// 基于准备好的dom,初始化echarts实例var myChart = echarts.init(document.getElementById('main'));myChart.setOption({xAxis: {type:'category',data:['2015-07-01至2015-07-31','2016-07-01至2016-07-31','2017-07-01至2017-07-31','2018-07-01至2018-07-31'],                            },             yAxis:[          {          max:5,type:'value',splitLine:{show:false,}}],series:[{type:'line',data:[3,3,3,3],itemStyle:{normal:{label:{show:true,position:'top',textStyle:{color:'#5F97A0',},                          },lineStyle:{type: 'solid',width: 20  //设置线条粗细},/** 线性渐变,前四个参数分别是 x0, y0, x2, y2, 分别表示:右,下,左,上* 范围从 0 - 1,相当于在图形包围盒中的百分比,如果 globalCoord 为 `true`,*则该四个值是绝对的像素位置 */color:{globalCoord:true,type:'liner',x:0,y:0,x2:0,y2:1,                      /** 一条直线实现三种颜色渐变:* 1.从0-0.4显示第一种颜色,占直线40%* 2.从0.4-0.6显示第二种颜色,占直线20% * 3.从0.6-1显示第三种颜色,占直线40%* */    colorStops:[{offset:0,color:'rgb(255,255,0)'},{offset:0.4,color:'rgb(255,255,0)'},{offset:0.4,color:'rgb(0, 0, 255)' },{offset:0.6,color:'rgb(0, 0, 255)' },{offset:0.6,color:'rgb(255, 0, 0)'},{offset:1,color:'rgb(255, 0, 0)'}          ],global:false,//缺省为false},            },                  },showSymbol:false,  //不显示折线中的拐点},         ],});}  render() {return (<div id="main" style={{width:'100%',height:700}}></div>);}
}export default colorStops;

11.坐标轴样式设置

  • 多坐标轴的实现:
 https://www.cnblogs.com/fengxin666/p/10655133.html
  • 刻度线和标签对齐:
                 xAxis: [{boundaryGap : true,axisTick: {//类目轴中在 boundaryGap 为 true 的时候有效,可以保证刻度线和标签对齐alignWithLabel: true,}}],
  • 坐标轴设置成整数显示:

    ​ 在创建图表时,y轴数据默认是有小数点的,如果不显示小数,只显示整数可以设置minInterval属性的值为1保证坐标轴分割刻度显示成整数。

yAxis:{minInterval:1, //设置坐标轴分割显示成整数
}
  • 坐标轴的标签显示完整:

    ​ 如果坐标轴的名称过长,导致默认隔一个数据显示,可以通过以下方式使数据显示完整:(interval属性设置成0则表示强制显示所有标签,设置为1的话,隔一个标签显示一个标签,一次类推。但是如果设置为0的话,如果数据数据局再长点,它会直接不显示,还是解决不了问题,如果让数据倾斜显示,就可以显示完整。rotate表示倾斜显示,-是顺时针旋转多少度,+或者不写表示逆时针旋转多少度,默认为90)

xAxis:[axisLabel:{interval:0,rotate:45,  //表示逆时针旋转45度}
]
  • 实现坐标轴的联动:

    ​ 设置轴上的 axisPointer.show(例如 xAxis.axisPointer.show)为 true,则显示此轴的 axisPointer。设置 tooltip.trigger 设置为 ‘axis’ 或者 tooltip.axisPointer.type 设置为 ‘cross’,则此时坐标系会自动选择显示哪个轴的 axisPointer,也可以使用 tooltip.axisPointer.axis 改变这种选择。注意,轴上如果设置了 axisPointer,会覆盖此设置。

//坐标轴指示器(axisPointer)的作用是指示坐标轴当前刻度的
axisPointer: {link: {//只可以在 xAxisIndex 为 `0` 和 `1` 的 xAxis 所在的直角坐标系中刷选。xAxisIndex: [0, 1],}},
  • 设置坐标轴分割段数:

    ​ y 轴的分割段数默认为5,这是由于 yAxis 中的 splitNumber 决定的。坐标轴的分割段数,需要注意的是这个分割段数只是个预估值,最后实际显示的段数会在这个基础上根据分割后坐标轴刻度显示的易读程度作调整

 yAxis:{splitNumber: 1, //设置坐标轴分割显示成整数
}
  • 自动计算的坐标轴最小间隔大小:

    ​ 自动计算的坐标轴最小间隔大小

    ​ 注意:只在数值轴或时间轴中(type: ‘value’ 或 ‘time’)有效

 yAxis:{minInterval: 1,
}
  • 自动计算的坐标轴最大间隔大小
 yAxis:{maxInterval: 3600 * 24 * 1000,
}
  • 实现y轴与x轴联动:
 xAxis: {gridIndex:0,                          },
yAxis:[          {     gridIndex:0,     },{gridIndex:1,}],
series: [{xAxisIndex: 0,yAxisIndex: 1,},{xAxisIndex: 0,yAxisIndex: 0,    }]

12.坐标轴偏移

  • yAxis.offset | number

    [ default: 0 ] 显示 Y 轴相对于默认位置的偏移,该属性在相同的 position 上有多个 Y 轴的时候会使用到。

yAxis:{offset:10
}
  • xAxis.offset |number

[ default: 0 ] 显示 X 轴相对于默认位置的偏移,该属性在相同的 position 上有多个 X 轴的时候会使用到。

xAxis:{offset:10
}
  • grid.zlevel

[defalue:0] 所属图形的Canvas分层,zlevel大的Canvas会放在zlevel小的Canvas上面

level:0, //X 轴所有图形的 zlevel 值。z:0,  //X 轴组件的所有图形的z值

13.坐标轴刻度改变和优化

https://blog.csdn.net/mulumeng981/article/details/77983485

14.双坐标轴示例

  • https://gallery.echartsjs.com/editor.html?c=xHkjrGd61Q

[外链图片转存失败(img-o4TjpoxG-1566542261938)(C:\Users\Administrator\AppData\Roaming\Typora\typora-user-images\1564123920539.png)]

  • https://gallery.echartsjs.com/editor.html?c=xeUIEK8vVn

[外链图片转存失败(img-Ixh8IT8b-1566542261939)(C:\Users\Administrator\AppData\Roaming\Typora\typora-user-images\1564123959127.png)]

  • https://gallery.echartsjs.com/editor.html?c=xrySKpOnjM

[外链图片转存失败(img-37NgnvR7-1566542261940)(C:\Users\Administrator\AppData\Roaming\Typora\typora-user-images\1564123997433.png)]

  • https://gallery.echartsjs.com/editor.html?c=xByOFPcjBe

[外链图片转存失败(img-uIWGkC4G-1566542261940)(C:\Users\Administrator\AppData\Roaming\Typora\typora-user-images\1564124036267.png)]

  • 示例
   var timeData = ["2016-01-01", "2016-01-02", "2016-01-03", "2016-01-04", "2016-01-05", "2016-01-06", "2016-01-07", "2016-01-08", "2016-01-09", "2016-01-10", "2016-01-11", "2016-01-12", "2016-01-13", "2016-01-14", "2016-01-15", "2016-01-16", "2016-01-17", "2016-01-18", "2016-01-19", "2016-01-20", "2016-01-21", "2016-01-22", "2016-01-23", "2016-01-24", "2016-01-25", "2016-01-26", "2016-01-27", "2016-01-28", "2016-01-29", "2016-01-30", "2016-01-31", "2016-02-01", "2016-02-02", "2016-02-03", "2016-02-04", "2016-02-05", "2016-02-06", "2016-02-07", "2016-02-08", "2016-02-09", "2016-02-10", "2016-02-11", "2016-02-12", "2016-02-13", "2016-02-14", "2016-02-15", "2016-02-16", "2016-02-17", "2016-02-18", "2016-02-19", "2016-02-20", "2016-02-21", "2016-02-22", "2016-02-23", "2016-02-24", "2016-02-25", "2016-02-26", "2016-02-27", "2016-02-28", "2016-02-29", "2016-03-01", "2016-03-02", "2016-03-03", "2016-03-04", "2016-03-05", "2016-03-06", "2016-03-07", "2016-03-08", "2016-03-09", "2016-03-10", "2016-03-11", "2016-03-12", "2016-03-13", "2016-03-14", "2016-03-15", "2016-03-16", "2016-03-17", "2016-03-18", "2016-03-19", "2016-03-20", "2016-03-21", "2016-03-22", "2016-03-23", "2016-03-24", "2016-03-25", "2016-03-26", "2016-03-27", "2016-03-28", "2016-03-29", "2016-03-30", "2016-03-31", "2016-04-01", "2016-04-02", "2016-04-03", "2016-04-04", "2016-04-05", "2016-04-06", "2016-04-07", "2016-04-08", "2016-04-09", "2016-04-10", "2016-04-11", "2016-04-12", "2016-04-13", "2016-04-14", "2016-04-15", "2016-04-16", "2016-04-17", "2016-04-18", "2016-04-19", "2016-04-20", "2016-04-21", "2016-04-22", "2016-04-23", "2016-04-24", "2016-04-25", "2016-04-26", "2016-04-27", "2016-04-28", "2016-04-29", "2016-04-30", "2016-05-01", "2016-05-02", "2016-05-03", "2016-05-04", "2016-05-05", "2016-05-06", "2016-05-07", "2016-05-08", "2016-05-09", "2016-05-10", "2016-05-11", "2016-05-12", "2016-05-13", "2016-05-14", "2016-05-15", "2016-05-16", "2016-05-17", "2016-05-18", "2016-05-19", "2016-05-20", "2016-05-21", "2016-05-22", "2016-05-23", "2016-05-24", "2016-05-25", "2016-05-26", "2016-05-27", "2016-05-28", "2016-05-29", "2016-05-30", "2016-05-31", "2016-06-01", "2016-06-02", "2016-06-03", "2016-06-04", "2016-06-05", "2016-06-06", "2016-06-07", "2016-06-08", "2016-06-09", "2016-06-10", "2016-06-11", "2016-06-12", "2016-06-13", "2016-06-14", "2016-06-15", "2016-06-16", "2016-06-17", "2016-06-18", "2016-06-19", "2016-06-20", "2016-06-21", "2016-06-22", "2016-06-23", "2016-06-24", "2016-06-25", "2016-06-26", "2016-06-27", "2016-06-28", "2016-06-29", "2016-06-30", "2016-07-01", "2016-07-02", "2016-07-03", "2016-07-04", "2016-07-05", "2016-07-06", "2016-07-07", "2016-07-08", "2016-07-09", "2016-07-10", "2016-07-11", "2016-07-12", "2016-07-13", "2016-07-14", "2016-07-15", "2016-07-16", "2016-07-17", "2016-07-18", "2016-07-19", "2016-07-20", "2016-07-21", "2016-07-22", "2016-07-23", "2016-07-24", "2016-07-25", "2016-07-26", "2016-07-27", "2016-07-28", "2016-07-29", "2016-07-30", "2016-07-31", "2016-08-01", "2016-08-02", "2016-08-03", "2016-08-04", "2016-08-05", "2016-08-06", "2016-08-07", "2016-08-08", "2016-08-09", "2016-08-10", "2016-08-11", "2016-08-12", "2016-08-13", "2016-08-14", "2016-08-15", "2016-08-16", "2016-08-17", "2016-08-18", "2016-08-19", "2016-08-20", "2016-08-21", "2016-08-22", "2016-08-23", "2016-08-24", "2016-08-25", "2016-08-26", "2016-08-27", "2016-08-28", "2016-08-29", "2016-08-30", "2016-08-31", "2016-09-01", "2016-09-02", "2016-09-03", "2016-09-04", "2016-09-05", "2016-09-06", "2016-09-07", "2016-09-08", "2016-09-09", "2016-09-10", "2016-09-11", "2016-09-12", "2016-09-13", "2016-09-14", "2016-09-15", "2016-09-16", "2016-09-17", "2016-09-18", "2016-09-19", "2016-09-20", "2016-09-21", "2016-09-22", "2016-09-23", "2016-09-24", "2016-09-25", "2016-09-26", "2016-09-27", "2016-09-28", "2016-09-29", "2016-09-30", "2016-10-01", "2016-10-02", "2016-10-03", "2016-10-04", "2016-10-05", "2016-10-06", "2016-10-07", "2016-10-08", "2016-10-09", "2016-10-10", "2016-10-11", "2016-10-12", "2016-10-13", "2016-10-14", "2016-10-15", "2016-10-16", "2016-10-17", "2016-10-18", "2016-10-19", "2016-10-20", "2016-10-21", "2016-10-22", "2016-10-23", "2016-10-24", "2016-10-25", "2016-10-26", "2016-10-27", "2016-10-28", "2016-10-29", "2016-10-30", "2016-10-31", "2016-11-01", "2016-11-02", "2016-11-03", "2016-11-04", "2016-11-05", "2016-11-06", "2016-11-07", "2016-11-08", "2016-11-09", "2016-11-10", "2016-11-11", "2016-11-12", "2016-11-13", "2016-11-14", "2016-11-15", "2016-11-16", "2016-11-17", "2016-11-18", "2016-11-19", "2016-11-20", "2016-11-21", "2016-11-22", "2016-11-23", "2016-11-24", "2016-11-25", "2016-11-26", "2016-11-27", "2016-11-28", "2016-11-29", "2016-11-30", "2016-12-01", "2016-12-02", "2016-12-03", "2016-12-04", "2016-12-05", "2016-12-06", "2016-12-07", "2016-12-08", "2016-12-09", "2016-12-10", "2016-12-11", "2016-12-12", "2016-12-13", "2016-12-14", "2016-12-15", "2016-12-16", "2016-12-17", "2016-12-18", "2016-12-19", "2016-12-20", "2016-12-21", "2016-12-22", "2016-12-23", "2016-12-24", "2016-12-25", "2016-12-26", "2016-12-27", "2016-12-28", "2016-12-29", "2016-12-30", "2016-12-31", "2017-01-01", "2017-01-02", "2017-01-03", "2017-01-04", "2017-01-05", "2017-01-06", "2017-01-07", "2017-01-08", "2017-01-09", "2017-01-10", "2017-01-11", "2017-01-12", "2017-01-13", "2017-01-14", "2017-01-15", "2017-01-16", "2017-01-17", "2017-01-18", "2017-01-19", "2017-01-20", "2017-01-21", "2017-01-22", "2017-01-23", "2017-01-24", "2017-01-25", "2017-01-26", "2017-01-27", "2017-01-28", "2017-01-29", "2017-01-30", "2017-01-31", "2017-02-01", "2017-02-02", "2017-02-03", "2017-02-04", "2017-02-05", "2017-02-06", "2017-02-07", "2017-02-08", "2017-02-09", "2017-02-10", "2017-02-11", "2017-02-12", "2017-02-13", "2017-02-14", "2017-02-15", "2017-02-16", "2017-02-17", "2017-02-18", "2017-02-19", "2017-02-20", "2017-02-21", "2017-02-22", "2017-02-23", "2017-02-24", "2017-02-25", "2017-02-26", "2017-02-27", "2017-02-28", "2017-03-01", "2017-03-02", "2017-03-03", "2017-03-04", "2017-03-05", "2017-03-06", "2017-03-07", "2017-03-08", "2017-03-09", "2017-03-10", "2017-03-11", "2017-03-12", "2017-03-13", "2017-03-14", "2017-03-15", "2017-03-16", "2017-03-17", "2017-03-18", "2017-03-19", "2017-03-20", "2017-03-21", "2017-03-22", "2017-03-23", "2017-03-24", "2017-03-25", "2017-03-26", "2017-03-27", "2017-03-28", "2017-03-29", "2017-03-30", "2017-03-31", "2017-04-01", "2017-04-02", "2017-04-03", "2017-04-04", "2017-04-05", "2017-04-06", "2017-04-07", "2017-04-08", "2017-04-09", "2017-04-10", "2017-04-11", "2017-04-12", "2017-04-13", "2017-04-14", "2017-04-15", "2017-04-16", "2017-04-17", "2017-04-18", "2017-04-19", "2017-04-20", "2017-04-21", "2017-04-22", "2017-04-23", "2017-04-24", "2017-04-25", "2017-04-26", "2017-04-27", "2017-04-28", "2017-04-29", "2017-04-30", "2017-05-01", "2017-05-02", "2017-05-03", "2017-05-04", "2017-05-05", "2017-05-06", "2017-05-07", "2017-05-08", "2017-05-09", "2017-05-10", "2017-05-11", "2017-05-12", "2017-05-13", "2017-05-14", "2017-05-15", "2017-05-16", "2017-05-17", "2017-05-18", "2017-05-19", "2017-05-20", "2017-05-21", "2017-05-22", "2017-05-23", "2017-05-24", "2017-05-25", "2017-05-26", "2017-05-27", "2017-05-28", "2017-05-29", "2017-05-30", "2017-05-31", "2017-06-01", "2017-06-02", "2017-06-03", "2017-06-04", "2017-06-05", "2017-06-06", "2017-06-07", "2017-06-08", "2017-06-09", "2017-06-10", "2017-06-11", "2017-06-12", "2017-06-13", "2017-06-14", "2017-06-15", "2017-06-16", "2017-06-17", "2017-06-18", "2017-06-19", "2017-06-20", "2017-06-21", "2017-06-22", "2017-06-23", "2017-06-24", "2017-06-25", "2017-06-26", "2017-06-27", "2017-06-28", "2017-06-29", "2017-06-30", "2017-07-01", "2017-07-02", "2017-07-03", "2017-07-04", "2017-07-05", "2017-07-06", "2017-07-07", "2017-07-08", "2017-07-09", "2017-07-10", "2017-07-11", "2017-07-12", "2017-07-13", "2017-07-14", "2017-07-15", "2017-07-16", "2017-07-17", "2017-07-18", "2017-07-19", "2017-07-20", "2017-07-21", "2017-07-22", "2017-07-23", "2017-07-24", "2017-07-25", "2017-07-26", "2017-07-27", "2017-07-28", "2017-07-29", "2017-07-30", "2017-07-31", "2017-08-01", "2017-08-02", "2017-08-03", "2017-08-04", "2017-08-05", "2017-08-06", "2017-08-07", "2017-08-08", "2017-08-09", "2017-08-10", "2017-08-11", "2017-08-12", "2017-08-13", "2017-08-14", "2017-08-15", "2017-08-16", "2017-08-17", "2017-08-18", "2017-08-19", "2017-08-20", "2017-08-21", "2017-08-22", "2017-08-23", "2017-08-24", "2017-08-25", "2017-08-26", "2017-08-27", "2017-08-28", "2017-08-29", "2017-08-30", "2017-08-31", "2017-09-01", "2017-09-02", "2017-09-03", "2017-09-04", "2017-09-05", "2017-09-06", "2017-09-07", "2017-09-08", "2017-09-09", "2017-09-10", "2017-09-11", "2017-09-12", "2017-09-13", "2017-09-14", "2017-09-15", "2017-09-16", "2017-09-17", "2017-09-18", "2017-09-19", "2017-09-20", "2017-09-21", "2017-09-22", "2017-09-23", "2017-09-24", "2017-09-25", "2017-09-26", "2017-09-27", "2017-09-28", "2017-09-29", "2017-09-30", "2017-10-01", "2017-10-02", "2017-10-03", "2017-10-04", "2017-10-05", "2017-10-06", "2017-10-07", "2017-10-08", "2017-10-09", "2017-10-10", "2017-10-11", "2017-10-12", "2017-10-13", "2017-10-14", "2017-10-15", "2017-10-16", "2017-10-17", "2017-10-18", "2017-10-19", "2017-10-20", "2017-10-21", "2017-10-22", "2017-10-23", "2017-10-24", "2017-10-25", "2017-10-26", "2017-10-27", "2017-10-28", "2017-10-29", "2017-10-30", "2017-10-31", "2017-11-01", "2017-11-02", "2017-11-03", "2017-11-04", "2017-11-05", "2017-11-06", "2017-11-07", "2017-11-08", "2017-11-09", "2017-11-10", "2017-11-11", "2017-11-12", "2017-11-13", "2017-11-14", "2017-11-15", "2017-11-16", "2017-11-17", "2017-11-18", "2017-11-19", "2017-11-20", "2017-11-21", "2017-11-22", "2017-11-23", "2017-11-24", "2017-11-25", "2017-11-26", "2017-11-27", "2017-11-28", "2017-11-29", "2017-11-30", "2017-12-01", "2017-12-02", "2017-12-03", "2017-12-04", "2017-12-05", "2017-12-06", "2017-12-07", "2017-12-08", "2017-12-09", "2017-12-10", "2017-12-11", "2017-12-12", "2017-12-13", "2017-12-14", "2017-12-15", "2017-12-16", "2017-12-17", "2017-12-18", "2017-12-19", "2017-12-20", "2017-12-21", "2017-12-22", "2017-12-23", "2017-12-24", "2017-12-25", "2017-12-26", "2017-12-27", "2017-12-28", "2017-12-29", "2017-12-30", "2017-12-31", "2018-01-01", "2018-01-02", "2018-01-03", "2018-01-04", "2018-01-05", "2018-01-06", "2018-01-07", "2018-01-08", "2018-01-09", "2018-01-10", "2018-01-11", "2018-01-12", "2018-01-13", "2018-01-14", "2018-01-15", "2018-01-16", "2018-01-17", "2018-01-18", "2018-01-19", "2018-01-20", "2018-01-21", "2018-01-22", "2018-01-23", "2018-01-24", "2018-01-25", "2018-01-26", "2018-01-27", "2018-01-28", "2018-01-29", "2018-01-30", "2018-01-31", "2018-02-01", "2018-02-02", "2018-02-03", "2018-02-04", "2018-02-05", "2018-02-06", "2018-02-07", "2018-02-08", "2018-02-09", "2018-02-10", "2018-02-11", "2018-02-12", "2018-02-13", "2018-02-14", "2018-02-15", "2018-02-16", "2018-02-17", "2018-02-18", "2018-02-19", "2018-02-20", "2018-02-21", "2018-02-22", "2018-02-23", "2018-02-24", "2018-02-25", "2018-02-26", "2018-02-27", "2018-02-28", "2018-03-01", "2018-03-02", "2018-03-03", "2018-03-04", "2018-03-05", "2018-03-06", "2018-03-07", "2018-03-08", "2018-03-09", "2018-03-10", "2018-03-11", "2018-03-12", "2018-03-13", "2018-03-14", "2018-03-15", "2018-03-16", "2018-03-17", "2018-03-18", "2018-03-19", "2018-03-20", "2018-03-21", "2018-03-22", "2018-03-23", "2018-03-24", "2018-03-25", "2018-03-26", "2018-03-27", "2018-03-28", "2018-03-29", "2018-03-30", "2018-03-31", "2018-04-01", "2018-04-02", "2018-04-03", "2018-04-04", "2018-04-05", "2018-04-06", "2018-04-07", "2018-04-08", "2018-04-09", "2018-04-10", "2018-04-11", "2018-04-12", "2018-04-13", "2018-04-14", "2018-04-15", "2018-04-16", "2018-04-17", "2018-04-18", "2018-04-19", "2018-04-20", "2018-04-21", "2018-04-22", "2018-04-23", "2018-04-24", "2018-04-25", "2018-04-26", "2018-04-27", "2018-04-28", "2018-04-29", "2018-04-30", "2018-05-01", "2018-05-02", "2018-05-03", "2018-05-04", "2018-05-05", "2018-05-06", "2018-05-07", "2018-05-08", "2018-05-09", "2018-05-10", "2018-05-11", "2018-05-12", "2018-05-13", "2018-05-14", "2018-05-15", "2018-05-16", "2018-05-17", "2018-05-18", "2018-05-19", "2018-05-20", "2018-05-21", "2018-05-22", "2018-05-23", "2018-05-24", "2018-05-25", "2018-05-26", "2018-05-27", "2018-05-28", "2018-05-29", "2018-05-30", "2018-05-31", "2018-06-01"];var option = {title: {text: '',subtext: '',x: 'center'},tooltip: {trigger: 'axis',axisPointer: {animation: false},formatter: function (a) {return (a[0]['axisValueLabel'] + "<br>" +'<span style="display: inline-block; margin-right: 5px; border-radius: 10px; width: 9px; height: 9px; background-color: ' + a[0]['color'] + '"></span>' +a[0]['seriesName'] + ': ' + (a[0]['value'] || '--') + "<br>" +'<span style="display: inline-block; margin-right: 5px; border-radius: 10px; width: 9px; height: 9px; background-color: ' + a[1]['color'] + '"></span>' +a[1]['seriesName'] + ': ' + (a[1]['value'] || '--') + "<br>" +'<span style="display: inline-block; margin-right: 5px; border-radius: 10px; width: 9px; height: 9px; background-color: ' + a[2]['color'] + '"></span>' +a[2]['seriesName'] + ': ' + (a[2]['value'] || '--'));}},legend: {data: ['股票价格', '热搜指数'],x: 'center'},color: ['#44d26c', '#5d59e4'],toolbox: {show: false},axisPointer: {link: { xAxisIndex: 'all' }},dataZoom: [{show: true,realtime: true,start: 10,end: 20,xAxisIndex: [0, 1, 2]},{show: true,type: 'inside',realtime: true,start: 10,end: 20,xAxisIndex: [0, 1, 2]},{show: true,type: 'inside',realtime: true,start: 10,end: 20,xAxisIndex: [0, 1, 2]}],grid: [{left: 50,right: 100,top: '80',height: '160'}, {left: 50,right: 100,top: '240',height: '160'}, {left: 50,right: 100,top: '400',height: '160'}],xAxis: [{type: 'category',name: '股票价格',boundaryGap: false,axisLine: {onZero: true},axisLabel: {show: true,color: 'transparent'},axisTick: {show: false},data: timeData},{gridIndex: 1,type: 'category',name: '评级时间',boundaryGap: false,axisLine: {onZero: true},axisLabel: {show: false,color: 'transparent'},axisTick: {show: false,},data: timeData},{gridIndex: 2,type: 'category',name: '测试',boundaryGap: false,axisLine: {onZero: false},axisLabel: {show: true,},data: timeData}],yAxis: [{name: '',type: 'value',scale: true,axisLabel: {showMinLabel: false},splitLine: {show: true}},{gridIndex: 1,name: '',type: 'value',scale: true,splitLine: {show: true}},{gridIndex: 2,name: '',type: 'value',scale: true,splitLine: {show: true}}],series: [{name: '股票价格',type: 'line',symbolSize: 8,hoverAnimation: false,connectNulls: true,data: [0.97, 0.96, 0.96, 0.95, 0.95, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.93, 0.92, 0.91, 0.9, 0.89, 0.88, 0.87, 0.87, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.87, 0.88, 0.9, 0.93, 0.96, 0.99, 1.03, 1.06, 1.1, 1.14, 1.17, 1.2, 1.23, 1.26, 1.29, 1.33, 1.36, 1.4, 1.43, 1.45, 1.48, 1.49, 1.51, 1.51, 1.5, 1.49, 1.47, 1.44, 1.41, 1.37, 1.34, 1.3, 1.27, 1.24, 1.22, 1.2, 1.19, 1.18, 1.16, 1.15, 1.14, 1.13, 1.12, 1.11, 1.11, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.09, 1.09, 1.08, 1.07, 1.06, 1.05, 1.04, 1.03, 1.03, 1.02, 1.01, 1.01, 1, 0.99, 0.98, 0.97, 0.96, 0.96, 0.95, 0.95, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.93, 0.92, 0.91, 0.9, 0.89, 0.88, 0.87, 0.87, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.85, 0.84, 0.83, 0.82, 0.81, 0.8, 0.8, 0.79, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.77, 0.75, 0.73, 0.71, 0.68, 0.65, 0.63, 0.61, 0.59, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.57, 0.57, 0.57, 0.56, 0.55, 0.55, 0.54, 0.54, 0.53, 0.52, 0.52, 0.51, 0.51, 0.5, 0.5, 0.49, 0.48, 0.48, 0.47, 0.47, 0.47, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.52, 0.67, 0.9, 1.19, 1.52, 1.87, 2.22, 2.55, 2.84, 3.07, 3.22, 3.28, 3.28, 3.28, 3.28, 3.28, 3.28, 3.28, 3.28, 3.28, 3.28, 3.28, 3.28, 3.28, 3.24, 3.13, 2.97, 2.77, 2.54, 2.3, 2.05, 1.82, 1.62, 1.46, 1.35, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.3, 1.26, 1.21, 1.14, 1.06, 0.97, 0.89, 0.81, 0.74, 0.69, 0.65, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.63, 0.63, 0.62, 0.62, 0.61, 0.6, 0.59, 0.59, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.59, 0.61, 0.63, 0.65, 0.68, 0.71, 0.73, 0.75, 0.77, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.77, 0.75, 0.73, 0.71, 0.68, 0.65, 0.63, 0.61, 0.59, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.59, 0.59, 0.6, 0.61, 0.62, 0.62, 0.63, 0.63, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.65, 0.66, 0.68, 0.69, 0.71, 0.73, 0.74, 0.76, 0.77, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.79, 0.81, 0.82, 0.84, 0.86, 0.88, 0.9, 0.92, 0.93, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.93, 0.92, 0.91, 0.9, 0.89, 0.88, 0.87, 0.87, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.85, 0.84, 0.82, 0.8, 0.78, 0.76, 0.75, 0.73, 0.72, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.72, 0.73, 0.74, 0.76, 0.78, 0.79, 0.82, 0.84, 0.86, 0.89, 0.91, 0.94, 0.97, 1, 1.02, 1.05, 1.08, 1.11, 1.14, 1.17, 1.19, 1.22, 1.25, 1.27, 1.29, 1.31, 1.33, 1.35, 1.36, 1.38, 1.39, 1.39, 1.4, 1.4, 1.4, 1.39, 1.37, 1.35, 1.32, 1.29, 1.26, 1.22, 1.18, 1.14, 1.1, 1.05, 1.01, 0.97, 0.93, 0.89, 0.85, 0.82, 0.78, 0.76, 0.74, 0.72, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.72, 0.73, 0.74, 0.75, 0.77, 0.78, 0.8, 0.82, 0.84, 0.87, 0.89, 0.92, 0.94, 0.97, 0.99, 1.02, 1.05, 1.08, 1.1, 1.13, 1.16, 1.18, 1.21, 1.23, 1.26, 1.28, 1.3, 1.32, 1.34, 1.35, 1.37, 1.38, 1.39, 1.4, 1.41, 1.41, 1.42, 1.42, 1.43, 1.43, 1.43, 1.44, 1.44, 1.44, 1.44, 1.45, 1.45, 1.45, 1.46, 1.46, 1.46, 1.47, 1.47, 1.48, 1.48, 1.49, 1.5, 1.51, 1.54, 1.62, 1.73, 1.88, 2.05, 2.24, 2.45, 2.67, 2.89, 3.11, 3.31, 3.51, 3.69, 3.86, 4.03, 4.18, 4.33, 4.48, 4.62, 4.76, 4.89, 5.02, 5.16, 5.29, 5.43, 5.57, 5.71, 5.86, 6.02, 6.18, 6.36, 6.54, 6.73, 6.93, 7.15, 7.38, 7.62, 7.88, 8.16, 8.46, 8.77, 9.11, 9.46, 9.84, 10.24, 10.67, 11.12, 11.6, 12.3, 13.66, 16, 38.43, 82.21, 146.6, 218.7, 226, 225.23, 223.08, 219.78, 212, 199.82, 184.6, 168, 151.65, 137.21, 126.31, 119.94, 115.52, 112.06, 108.92, 105.44, 101, 94.56, 86.36, 77.67, 69.76, 63.9, 60.38, 57.41, 54.84, 52.57, 50.56, 48.71, 46.97, 45.25, 43.48, 41.6, 39.5, 37.19, 34.81, 32.46, 30.27, 28.36, 26.85, 25.86, 25.5, 25.5, 25.5, 25.5, 25.5, 25.5, 25.5, 25.5, 25.5, 25.5, 25.5, 25.5, 25.5, 25.27, 24.65, 23.7, 22.52, 21.17, 19.75, 18.33, 16.98, 15.8, 14.85, 14.23, 14, 14.02, 14.08, 14.17, 14.29, 14.44, 14.61, 14.8, 15.01, 15.23, 15.47, 15.71, 15.95, 16.19, 16.43, 16.67, 16.89, 17.1, 17.29, 17.46, 17.61, 17.73, 17.82, 17.88, 17.9, 17.63, 16.88, 15.75, 14.33, 12.71, 10.98, 9.23, 7.56, 6.05, 4.81, 3.92, 3.47, 3.28, 3.1, 2.93, 2.76, 2.61, 2.46, 2.32, 2.19, 2.07, 1.96, 1.85, 1.75, 1.66, 1.58, 1.51, 1.44, 1.39, 1.34, 1.29, 1.26, 1.23, 1.22, 1.2, 1.2, 1.2, 1.2, 1.2, 1.2, 1.21, 1.21, 1.21, 1.21, 1.22, 1.22, 1.22, 1.23, 1.23, 1.23, 1.24, 1.24, 1.25, 1.25, 1.25, 1.26, 1.26, 1.27, 1.27, 1.27, 1.28, 1.28, 1.28, 1.29, 1.29, 1.29, 1.29, 1.3, 1.3, 1.3, 1.3, 1.3, 1.3, 1.3, 1.3, 1.3, 1.3, 1.3, 1.29, 1.29, 1.29, 1.29, 1.28, 1.28, 1.28, 1.27, 1.27, 1.26, 1.25, 1.25, 1.24, 1.23, 1.23, 1.22, 1.21, 1.2, 1.16, 1.06, 0.95, 0.83, 0.74, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.69, 0.69, 0.69, 0.69, 0.69, 0.69, 0.69, 0.69, 0.68, 0.68, 0.68, 0.68, 0.68, 0.68, 0.67, 0.67, 0.67, 0.67, 0.67, 0.67, 0.67, 0.66, 0.66, 0.66, 0.66, 0.66, 0.66, 0.66, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.65, 0.66, 0.68, 0.69, 0.71, 0.73, 0.74, 0.76, 0.77, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.8, 0.86, 0.95, 1.08, 1.25, 1.46, 1.7, 1.97, 2.28, 2.63, 3.01, 3.42, 3.87, 4.35, 4.86, 5.4, 5.98, 6.59, 7.92, 10.49, 14.04, 18.31, 23.04, 27.98, 32.87, 37.45, 41.46, 44.64, 46.74, 47.5, 46.86, 45.16, 42.77, 40.04, 37.33, 35, 32.74, 30.21, 27.7, 25.5, 23.9, 23.2, 23.06, 22.94, 22.84, 22.77, 22.72, 22.7, 22.8, 23.23, 23.95, 24.91, 26.04, 27.3, 28.76, 30.7, 33.39, 37.12, 42.15, 48.77, 65.22, 252.1, 257, 237.32, 221.19, 212, 208.67, 206.89, 205.2, 202.15, 189.82, 172, 165.3, 160.49, 156.8, 153.44, 149.62, 144.6, 138.27, 131, 123.11, 114.9, 106.69, 98.79, 91.5, 85.13, 80, 75.53, 71.03, 66.65, 62.54, 58.85, 55.73, 53.31, 51.75, 51.2, 56.53, 68.25, 80, 91.01, 102.03, 109, 112.37, 115.29, 117.68, 119.48, 120.61, 121, 119.45, 115.57, 110.52, 105.47, 101.58, 100, 99.97, 99.94, 99.92, 99.9, 99.88, 99.86, 99.85, 99.84, 99.83, 99.82, 99.81, 99.81, 99.8, 99.8, 99.8, 122.15, 163.65, 186, 182.96, 175.15, 164.56, 153.18, 143, 136, 131.37, 126.98, 122.81, 118.85, 115.09, 111.52, 108.13, 104.9, 101.83, 98.9, 96.11, 93.44, 90.87, 88.41, 86.04, 83.74, 81.51, 79.33, 77.2, 75.1, 73.02, 70.95, 68.88, 66.8, 64.87, 63.14, 61.4, 59.53, 57.67, 56, 54.6, 53.36, 52.2, 51.05, 49.85, 48.5, 46.87, 44.92, 42.74, 40.42, 38.04, 35.69, 33.46, 31.44, 29.72, 28.38, 27.51, 27.2, 27.2, 27.2, 27.2, 27.2, 27.2, 27.2, 27.2, 27.2, 27.2, 27.2, 27.2, 27.2, 27.14, 26.97, 26.7, 26.35, 25.95, 25.49, 25.02, 24.53, 24.04, 23.58, 23.16, 22.8, 22.46, 22.11, 21.75, 21.39, 21.03, 20.69, 20.36, 20.05, 19.78, 19.54, 19.35, 19.2, 19.09, 19, 18.92, 18.85, 18.79, 18.74, 18.68, 18.62, 18.56, 18.49, 18.4, 18.3, 18.17, 18.02, 17.83, 17.63, 17.41, 17.18, 16.93, 16.68, 16.43, 16.18, 15.93, 15.7, 15.47, 15.22, 14.97, 14.71, 14.45, 14.18, 13.93, 13.68, 13.44, 13.21, 13, 12.8, 12.62, 12.46, 12.31, 12.16, 12.03, 11.89, 11.76, 11.62, 11.48, 11.33, 11.17, 11, 10.81, 10.59, 10.36, 10.12, 9.86, 9.61, 9.36, 9.12, 8.89, 8.68, 8.5, 8.35, 8.21, 8.08, 7.94, 7.81, 7.68, 7.56, 7.46, 7.36, 7.29, 7.23, 7.19, 7.18, 7.51, 8.42, 9.81, 11.58, 13.63, 15.86, 18.16, 20.44, 22.58, 24.49, 26.06, 27.2, 28.08, 28.95, 29.81, 30.65, 31.48, 32.28, 33.07, 33.82, 34.55, 35.25, 35.92, 36.56, 37.15, 37.71, 38.23, 38.7, 39.13, 39.5, 39.83, 40.1, 40.31, 40.47, 40.57, 40.6, 40.49, 40.16, 39.64, 38.94, 38.09, 37.1, 36, 34.79, 33.51, 32.17, 30.79, 29.39, 27.99, 26.6, 25.25, 23.96, 22.75, 21.63, 20.63, 19.76, 19.04, 18.49, 18.14, 18, 17.97, 17.95, 17.94, 17.92, 17.91, 17.9, 17.89, 17.88, 17.87, 17.85, 17.83, 17.8, 17.7, 17.46, 17.13, 16.7, 16.21, 15.68, 15.13, 14.57, 14.04, 13.56, 13.14, 12.8, 12.52, 12.27, 12.02, 11.79, 11.57, 11.37, 11.16, 10.97, 10.78, 10.59, 10.39, 10.2, 10.01, 9.81, 9.63, 9.44, 9.26, 9.08, 8.9, 8.73, 8.56, 8.39, 8.22, 8.06, 7.9, 7.73, 7.57, 7.41, 7.25, 7.09, 6.94, 6.79, 6.65, 6.52, 6.4, 6.28, 6.17, 6.08, 5.98, 5.9, 5.81, 5.73, 5.65, 5.57, 5.49, 5.41, 5.32, 5.23, 5.14, 5.04, 4.94, 4.84, 4.74, 4.63, 4.53, 4.43, 4.33, 4.23, 4.13, 4.03, 3.93, 3.81, 3.69, 3.57, 3.45, 3.33, 3.22, 3.12, 3.04, 2.98, 2.93, 2.92, 2.92, 2.92, 2.92, 2.92, 2.92, 2.92, 2.92, 2.92, 2.92, 2.92, 2.92, 2.92, 2.9, 2.86, 2.8, 2.71, 2.62, 2.52, 2.42, 2.33, 2.24, 2.18, 2.14, 2.12, 2.12, 2.12, 2.12, 2.12, 2.12, 2.12, 2.12, 2.12, 2.12, 2.12, 2.12, 2.12, 2.1, 2.06, 2, 1.91, 1.82, 1.71, 1.61, 1.5, 1.4, 1.32, 1.25, 1.2, 1.16, 1.13, 1.1, 1.06, 1.03, 1, 0.97, 0.93, 0.9, 0.87, 0.85, 0.82, 0.79, 0.77, 0.74, 0.72, 0.69, 0.67, 0.65, 0.63, 0.61, 0.59, 0.58, 0.56, 0.54, 0.53, 0.52, 0.51, 0.5, 0.49, 0.48, 0.48, 0.47, 0.47, 0.46, 0.46, 0.47, 0.48, 0.5, 0.53, 0.56, 0.59, 0.62, 0.64, 0.67, 0.69, 0.7, 0.71, 0.71, 0.71, 0.71, 0.7, 0.7, 0.7, 0.69, 0.69, 0.69, 0.68, 0.68, 0.67, 0.67, 0.67, 0.66, 0.66, 0.65, 0.65, 0.65, 0.65, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.65, 0.65, 0.65, 0.66, 0.66, 0.67, 0.68, 0.69, 0.69, 0.7, 0.71, 0.73, 0.74, 0.75, 0.76, 0.78, 0.8, 0.81, 0.83, 0.85, 0.87, 0.89, 0.92, 0.94, 0.97, 0.99, 1.02, 1.05, 1.08, 1.11, 1.15, 1.18, 1.32, 1.66, 2.21, 2.97, 3.94, 5.11, 6.5, 8.1, 9.9, 11.92, 14.15, 16.6, 22.3, 22.8, 24.48, 30.38, 35.74, 42.4, 57.14, 94.04, 112.9, 123.4, 130.4, 130, 119.4, 120.7, 116.8, 118.1, 119.4, 124.8, 143.5, 204, 294, 319.2, 328.4, 365, 350.8, 347.6, 347.6, 325, 331.6, 319.2, 308, 308, 308, 308, 296.8, 300, 281, 278.4, 270.6, 271, 253.6, 233.5, 219.2, 207.8, 205.9, 204, 189.6, 178.8, 173.4, 160, 154.4, 146, 145, 140.5, 130.4, 126.2, 116.8, 112.9, 106.5, 101.6, 98.51, 82.67, 67.3, 80.05, 76.12, 72.3, 71.02, 69.78, 67.3, 67.3, 68.54, 57.6, 71.02, 66.06, 59.12, 57.14, 55.16, 55.16, 52.19, 52.19, 51.2, 48.56, 44.16, 43, 45.92, 49.44, 44.16, 36.48, 35.74, 35, 32.36, 37.22, 32.36, 32.36, 32.36, 33.68, 32.36, 31.7, 35.74, 29.72, 32.36, 30.38, 29.72, 28.4, 28.4, 28.4, 27.28, 25.6, 25.04, 23.92, 22.3, 21.8, 21.8, 21.8, 22.8, 21.8, 25.6, 22.8, 22.8, 17.8, 16.04, 16.04, 16.04, 16.04, 16.04, 16.04, 16.04, 16.04, 16.04, 16.04, 15.02, 14, 14.03, 14.11, 14.25, 14.45, 14.72, 15.06, 15.46, 15.95, 16.51, 17.15, 17.87, 18.69, 19.59, 20.59, 21.69, 22.88, 24.18, 25.59, 27.1, 28.73, 30.48, 32.34, 34.33, 36.44, 38.69, 41.06, 43.57, 46.22, 49.01, 51.95, 55.04, 58.27, 61.66, 65.21, 68.92, 72.8, 88.09, 104.9, 105.7, 110.3, 111.6, 110.3, 106.5, 105.7, 103.3, 100, 97.02, 98.8, 91.07, 83.98, 88.09, 81.36, 78.74, 77.43, 77.43, 73.5, 74.81, 72.63, 68.58, 66.4, 68.54, 69.78, 67.3, 64.82, 61.1, 59.12, 56.15, 53.18, 50.32, 49.44, 44.16, 36.5, 42.4, 37.96, 37.22, 33.68, 36.48, 35.74, 35, 35, 37.22, 37.22, 39.44, 32.6, 34.54, 36.48, 35.74, 34.34, 33.68, 33.02, 31.04, 29.72, 29.72, 29.72, 26.16, 25.6, 29.72, 18.3, 22.3, 21.3, 21.8, 21.8, 20.3, 20.8, 25.04, 25.04, 25.6, 25.6, 25.04, 25.6, 25.04, 25.6, 23.92, 25.04, 21.3, 21.8, 22.3, 21.8, 20.8, 16.1, 20.3, 18.3, 13.22, 19.3, 19.3, 18.3, 14.4, 13.86, 13.36, 12.9, 12.48, 12.1, 11.75, 11.43, 11.15, 10.9, 10.67, 10.48, 10.31, 10.16, 10.04, 9.93, 9.85, 9.78, 9.73, 9.69, 9.67, 9.65, 9.65, 12.08, 8.67, 11.7, 11.38, 10.65, 9.84, 9.32, 9.07, 8.85, 8.66, 8.49, 8.35, 8.22, 8.1, 7.98, 7.86, 7.74, 7.61, 7.47, 7.31, 7.14, 6.96, 6.78, 6.58, 6.39, 6.19, 5.99, 5.78, 5.58, 5.39, 5.2, 5.01, 4.83, 4.67, 4.51, 4.37, 4.24, 4.12, 4.02, 3.95, 3.89, 3.85, 3.84, 4.41, 5.77, 7.39, 8.75, 9.32, 9.18, 9, 8.94, 8.88, 8.83, 8.78, 8.73, 8.68, 8.64, 8.6, 8.56, 8.53, 8.5, 8.47, 8.45, 8.42, 8.4, 8.39, 8.37, 8.36, 8.35, 8.35, 8.34, 8.34, 8.67, 9.65, 9.62, 9.53, 9.4, 9.21, 8.98, 8.7, 8.4, 8.06, 7.69, 7.3, 6.89, 6.47, 6.03, 5.59, 5.14, 4.7, 4.26, 3.83, 3.42, 3.02, 2.65, 2.3, 1.98, 1.7, 1.45, 1.25, 1.09, 0.99, 0.94, 0.92, 0.91, 0.89, 0.87, 0.85, 0.84, 0.82, 0.81, 0.79, 0.78, 0.77, 0.75, 0.74, 0.73, 0.72, 0.71, 0.7, 0.69, 0.68, 0.67, 0.66, 0.65, 0.64, 0.64, 0.63, 0.63, 0.62, 0.62, 0.61, 0.61, 0.61, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.61, 0.61, 0.61, 0.61, 0.61, 0.61, 0.62, 0.62, 0.62, 0.62, 0.63, 0.63, 0.63, 0.63, 0.63, 0.64, 0.64, 0.64, 0.64, 0.64, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.64, 0.63, 0.62, 0.6, 0.59, 0.57, 0.55, 0.54, 0.53, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.51, 0.51, 0.51, 0.5, 0.5, 0.49, 0.48, 0.47, 0.47, 0.46, 0.45, 0.45, 0.44, 0.43, 0.42, 0.42, 0.41, 0.41, 0.41, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.41, 0.42, 0.43, 0.44, 0.46, 0.48, 0.5, 0.53, 0.55, 0.58, 0.61, 0.64, 0.67, 0.7, 0.73, 0.77, 0.8, 0.83, 0.87, 0.9, 0.93, 0.96, 0.99, 1.02, 1.05, 1.08, 1.1, 1.12, 1.14, 1.16, 1.17, 1.18, 1.19, 1.2, 1.2, 1.2, 1.19, 1.17, 1.15, 1.12, 1.09, 1.06, 1.02, 0.98, 0.94, 0.9, 0.86, 0.82, 0.78, 0.74, 0.7, 0.66, 0.63, 0.6, 0.57, 0.55, 0.53, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.51, 0.51, 0.5, 0.5, 0.49, 0.49, 0.48, 0.47, 0.47, 0.47, 0.46, 0.46, 0.45, 0.45, 0.45, 0.44, 0.44, 0.44, 0.43, 0.43, 0.43, 0.42, 0.42, 0.42, 0.41, 0.41, 0.41, 0.41, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.42, 0.42, 0.42, 0.42, 0.42, 0.42, 0.42, 0.42, 0.42, 0.43, 0.43, 0.43, 0.43, 0.43, 0.43, 0.44, 0.44, 0.44, 0.44, 0.44, 0.44, 0.45, 0.45, 0.45]},{name: '热搜指数',type: 'line',xAxisIndex: 1,yAxisIndex: 1,symbolSize: 8,connectNulls: true,hoverAnimation: false,data: [1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.005, 0.017, 0.017, 0.017, 0.017, 0.011, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.021, 0.026, 0.03, 0.036, 0.036, 0.195, 0.221, 0.019, 0.013, 0.017, 0.03, 0.03, 0.03, 0.046, 0.045, 0.038, 0.084, 0.045, 0.045, 0.037, 0.034, 0.035, 0.036, 0.044, 0.052, 0.048, 0.109, 0.033, 0.029, 0.04, 0.042, 0.042, 0.042, 0.073, 0.076, 0.062, 0.066, 0.066, 0.075, 0.096, 0.128, 0.121, 0.128, 0.14, 0.226, 0.143, 0.097, 0.018, 0, 0, 0, 0, 0, 0.018, 0.047, 0.054, 0.054, 0.054, 0.036, 0.185, 0.009, 0.038, 0.061, 0.077, 0.091, 0.126, 0.69, 0.182, 0.349, 0.231, 0.146, 0.128, 0.167, 0.1, 0.075, 0.071, 0.071, 0.117, 0.01, 0.002, 0.002, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.005, 0.026, 0.038, 0.038, 0.038, 0.076, 0.086, 0.109, 0.213, 0.276, 0.288, 0.297, 0.642, 1.799, 1.236, 2.138, 0.921, 0.497, 0.685, 0.828, 0.41, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.018, 0.024, 0.024, 0.024, 0.024, 0.006, 0.003, 0.046, 0.046, 0.046, 0.046, 0.043, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.204, 0.303, 1.028, 1.328, 1.524, 1.41, 1.362, 1.292, 1.191, 0.529, 0.501, 0.944, 1.81, 2.899, 0.859, 0.126, 0.087, 0.047, 0, 0, 0, 0, 0.011, 0.028, 0.028, 0.028, 0.028, 0.017, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.099, 0.159, 0.297, 0.309, 0.309, 0.614, 0.818, 1.436, 1.195, 0.553, 0.542, 0.955, 0.898, 0.466, 0.386, 0.556, 0.388, 0.221, 0.192, 0.192, 0.187, 0.166, 0.18, 0.302, 0.158, 0.009, 0.009, 0.009, 0.009, 0.009, 0.007, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.004, 0.032, 0.032, 0.032, 0.032, 0.082, 0.149, 0.204, 0.247, 0.262, 0.49, 0.51, 0.533, 0.746, 0.847, 2.393, 1.188, 1.114, 0.475, 0.043, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.017, 0.017, 0.021, 0.042, 0.079, 0.111, 0.126, 0.122, 0.133, 0.846, 0.102, 0.077, 0.067, 0.056, 0.005, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.011, 0.017, 0.017, 0.017, 0.017, 0.006, 0, 0, 0, 0, 0, 0.01, 0.03, 0.054, 0.067, 0.07, 0.25, 0.251, 0.494, 0.065, 0.054, 0.054, 0.064, 0.084, 0.077, 0.101, 0.132, 0.248, 0.069, 0.117, 0.115, 0.087, 0.326, 0.036, 0.009, 0.009, 0.009, 0.009, 0.009, 0.004, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.02, 0.039, 0.04, 0.04, 0.04, 0.229, 0.079, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.023, 0.069, 0.082, 0.082, 0.082, 0.503, 0.774, 0.038, 0.012, 0.012, 0.012, 0.016, 0.02, 0.028, 0.051, 0.06, 0.064, 0.19, 0.15, 0.164, 0.139, 0.13, 0.085, 0.031, 0.023, 0.022, 0.007, 0.005, 0.005, 0.001, 0, 0.02, 0.048, 0.048, 0.053, 0.056, 0.036, 0.008, 0.008, 0.004, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.013, 0.017, 0.036, 0.068, 0.095, 0.233, 0.272, 0.377, 0.722, 1.494, 3.756, 0.954, 0.439, 0.442, 0.462, 0.373, 0.249, 0.214, 0.1, 0.044, 0.037, 0.023, 0.002, 0, 0, 0, 0, 0, 0, 0.02, 0.024, 0.024, 0.024, 0.024, 0.004, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.008, 0.017, 0.017, 0.045, 0.186, 0.308, 0.241, 0.241, 0.893, 4.067, 4.494, 5.015, 3.494, 2.057, 1.411, 0.718, 0.407, 0.313, 0.339, 1.537, 1.105, 0.218, 0.136, 0.03, 0.005, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.037, 0.448, 1.2, 1.309, 1.309, 1.425, 1.223, 0.471, 0.767, 0.423, 0.273, 0.412, 0.646, 0.481, 0.239, 0.131, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.044, 0.15, 0.223, 0.388, 0.513, 0.883, 2.828, 4.786, 5.959, 4.95, 6.434, 6.319, 3.35, 2.806, 4.204, 1.395, 1.015, 1.015, 0.836, 0.74, 0.72, 0.615, 0.477, 0.192, 0.046, 0.007, 0.007, 0.007, 0.007, 0.007, 0.007, 0.007, 0.008, 0.005, 0.005, 0.005, 0.005, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.001, 0.012, 0.012, 0.012, 0.012, 0.011, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.002, 0.012, 0.028, 0.028, 0.028, 0.138, 0.092, 0.082, 0.082, 0.096, 0.719, 0.155, 0.042, 0.047, 0.129, 0.021, 0.021, 0.014, 0.009, 0.029, 0.067, 0.088, 0.095, 0.095, 0.138, 0.091, 0.032, 0.025, 0.025, 0.003, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.002, 0.045, 0.228, 0.297, 0.325, 0.339, 0.581, 1.244, 0.796, 0.517, 0.227, 0.053, 0.006, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.003, 0.005, 0.005, 0.005, 0.005, 0.081, 0.129, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.014, 0.041, 0.041, 0.041, 0.041, 0.027, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.009, 0.017, 0.017, 0.017, 0.017, 0.355, 0.174, 0.009, 0.009, 0.012, 0.136, 0.208, 0.208, 0.208, 0.215, 7.359, 1.858, 0.458, 0.053, 0.053, 0.047, 0.045, 0.045, 0.059, 0.136, 0.188, 0.206, 0.21, 0.588, 1.517, 6.02, 4.688, 4.42, 0.624, 0.326, 0.359, 0.553, 0.899, 0.94, 2.95, 9.415, 5.752, 1.092, 0.096, 0.035, 0.026, 0.018, 0.015, 0.011, 0.011, 0.011, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.056, 0.27, 0.314, 0.351, 0.354, 0.609, 0.796, 1.857, 0.848, 0.538, 0.214, 0.178, 0.178, 0.201, 0.231, 0.227, 0.272, 0.397, 0.45, 1.014, 2.917, 1.675, 0.081, 0.059, 0.059, 0.148, 0.075, 0.075, 0.078, 0.236, 0.784, 0.784, 0.784, 0.784, 0.741, 0.115, 0.058, 0.058, 0.058, 0.029, 0.015, 0.015, 0.015, 0.015, 0.012, 0.008, 0.604, 0.985, 1.305, 2.273, 2.528, 2.336, 2.496, 2.281, 1.397, 1.713, 3.259, 1.167, 0.745, 0.548, 1.058, 0.684, 0.728, 0.392, 0.179, 0.283, 0.283, 0.46, 0.08, 0.099, 0.099, 0.099, 0.1, 0.143, 0.137, 0.238, 0.317, 0.262, 0.225, 0.792, 0.426, 0.332, 0.261, 0.11, 0.093, 0.102, 0.171, 0.292, 0.504, 0.605, 1.745, 2.485, 1.964, 0.33, 0.171, 0.259, 0.242, 0.215, 0.366, 0.354, 0.205, 0.203, 0.262, 0.153, 0.13, 0.137, 0.362, 0.691, 0.295, 0.433, 0.154, 0.056, 0.053, 0.053, 0.053, 0.051, 0.047, 0.065, 0.078, 0.091, 0.206, 0.813, 0.102, 0.151, 0.05, 0.024, 0.004, 0.001, 0, 0, 0, 0.021, 0.021, 0.021, 0.021, 0.021, 0.013, 0.013, 0.013, 0.013, 0.013, 0.013, 0.013, 0.013, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.008, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.018, 0.021, 0.021, 0.021, 0.021, 0.003, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.024, 0.173, 0.261, 0.267, 0.267, 0.534, 1.354, 1.772, 0.72, 0.218, 0.018, 0.018, 0.028, 0.036, 0.032, 0.194, 0.082, 0.035, 0.286, 0.027, 0.038, 0.038, 0.027, 0.021, 0.014, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.016, 0.017, 0.017, 0.031, 0.047, 0.043, 0.056, 0.104, 0.149, 0.179, 0.205, 0.328, 0.998, 0.522, 1.851, 3.727, 3.273, 2.204, 1.169, 1.006, 1.179, 0.74, 0.741, 1.065, 0.925, 0.671, 0.497, 0.431, 0.327, 0.277, 0.126, 0.581, 0.207, 0.359, 2.485, 0.038, 0.036, 0.003, 0.003, 0.003, 0.003, 0.004, 0.098, 0.023, 0.021, 0.021, 0.022, 0.041, 0.041, 0.043, 0.045, 0.043, 0.014, 0.014, 0.014, 0.014, 0.014, 0.014, 0.014, 0.031, 0.046, 0.063, 0.119, 0.107, 0.092, 0.085, 0.065, 0.06, 0.054, 0.042, 0.039, 0.046, 0.044, 0.028, 0.028, 0.02, 0.013, 0.013, 0.013, 0.013, 0.016, 0.032, 0.031, 0.031, 0.031, 0.028, 0.011, 0.011, 0.011, 0.011, 0.011, 0.023, 0.024, 0.024, 0.024, 0.019, 0.015, 0.015, 0.015, 0.015, 0.015, 0.015, 0.013, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.001, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.011, 0.017, 0.024, 0.026, 0.061, 0.172, 0.206, 0.213, 0.267, 0.511, 0.668, 0.157, 0.017, 0.017, 0.017, 0.046, 0.054, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.001, 0.017, 0.017, 0.017, 0.017, 0.016, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.01, 0.017, 0.017, 0.017, 0.017, 0.012, 0.017, 0.017, 0.017, 0.017, 0.012, 0, 0, 0, 0, 0, 0.003, 0.031, 0.066, 0.093, 0.112, 0.122, 0.202, 0.068, 0.041, 0.022, 0.011, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.002, 0.005, 0.012, 0.021, 0.021, 0.019, 0.033, 0.03, 0.026, 0.026, 0.034, 0.095, 0.024, 0.024, 0.024, 0.023, 0.019, 0.018, 0.018, 0.018, 0.011, 0.03, 0.045, 0.044, 0.044, 0.044, 0.022, 0.009, 0.024, 0.033, 0.033, 0.033, 0.024, 0.009, 0, 0, 0, 0, 0, 0, 0.003, 0.017, 0.017, 0.017, 0.017, 0.014, 0, 0, 0, 0, 0, 0.032, 0.032, 0.032, 0.032, 0.032, 0.005, 0.008, 0.009, 0.014, 0.014, 0.009, 0.005, 0.004, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.007, 0.009, 0.009, 0.009, 0.009, 0.043, 0.063, 0.084, 0.098, 0.101, 0.213, 0.334, 0.383, 0.43, 0.448, 0.511, 0.801, 0.835, 1.642, 1.614, 1.496, 1.496, 1.476, 1.068, 0.481, 0.22, 0.119, 0.099, 0.07, 0.072, 0.063, 0.076, 0.14, 0.205, 0.28, 0.297, 0.3, 0.479, 0.877, 1.098, 1.611, 1.629, 1.686, 1.686, 1.631, 1.528, 1.862, 1.703, 1.531, 2.196, 0.395, 0.416, 0.453, 0.728, 0.917, 0.986, 1.17, 2.171, 3.011, 2.909, 3.301, 1.377, 0.778, 0.799, 0.947, 1.039, 0.879, 0.76, 1.372, 1.674, 1.674, 1.68, 1.823, 1.793, 1.162, 0.783, 0.216, 0.152, 0.152, 0.152, 0.049, 0, 0, 0, 0.117, 0.127, 0.127, 0.127, 0.127, 0.127, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.003, 0.005, 0.005, 0.005, 0.005, 0.003, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.309, 0.364, 0.364, 0.364, 0.364, 0.063, 0.01, 0.01, 0.01, 0.012, 0.015, 0.015, 0.11, 0.55, 0.824, 0.825, 0.829, 1.39, 1.429, 1.342, 1.43, 1.636, 1.717, 2.135, 2.203, 3.191, 3.022, 1.589, 0.86, 0.807, 0.645, 0.595, 0.588, 0.557, 0.552, 1.271, 0.708, 0.677, 0.629, 0.714, 0.203, 0.133, 0.061, 0.062, 0.018, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.001, 0.072, 0.29, 0.438, 0.53, 0.557, 0.873, 1.039, 1.04, 0.208, 0.049, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.03, 0.039, 0.039, 0.039, 0.039, 0.098, 0.008, 0.007, 0.007, 0.007, 0.007, 0.007, 0.007, 0.007, 0.007, 0.007, 0.056, 0.062, 0.065, 0.065, 0.065, 0.047, 0.216, 0.256, 0.315, 0.4, 0.502, 0.449, 0.47, 0.571, 0.814, 1.153, 0.774, 0.202, 0.086, 0.075, 0.071, 0.032, 0.019, 0.003, 0.004, 0.004, 0.004, 0.004, 0.004, 0.004, 0.007, 0.072, 0.153, 0.256, 0.306, 0.404, 0.698, 0.733, 0.823, 0.715, 0.563, 0.404, 0.293, 0.217, 0.213, 0.202, 0.202, 0.294, 0.704, 0.797, 1.359, 1.101, 0.72, 0.514, 0.539, 0.434, 0.389, 0.387, 0.386, 0.375, 0.369, 0.319, 0.239, 0.183, 0.136, 0.062, 0.052, 0.096, 0.119, 0.119, 0.114, 0.127, 0.132, 0.139, 0.169, 0.191, 0.278, 0.254, 0.214, 0.237, 0.221, 0.143, 0.129, 0.125, 0.109, 0.1, 0.087, 0.06, 0.038, 0.029, 0.029, 0.028, 0.048, 0.053, 0.053, 0.111, 0.125, 0.102, 0.097, 0.097, 0.039, 0.02, 0.02, 0.02, 0.014, 0.004, 0.031, 0.043, 0.047, 0.052, 0.08, 0.144, 0.182, 0.176, 0.171, 0.149, 0.112, 0.025, 0, 0, 0, 0, 0, 0, 0, 0.016, 0.031, 0.031, 0.031, 0.031, 0.015, 0, 0, 0, 0, 0, 0.005, 0.005, 0.005, 0.005, 0.005, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.005, 0.005, 0.005, 0.005, 0.005, 0.001, 0, 0, 0]}, {name: '股票价格',type: 'line',xAxisIndex: 2,yAxisIndex: 2,symbolSize: 8,hoverAnimation: false,connectNulls: true,data: [1.97, 0.96, 0.96, 0.95, 0.95, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.93, 0.92, 0.91, 0.9, 0.89, 0.88, 0.87, 0.87, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.87, 0.88, 0.9, 0.93, 0.96, 0.99, 1.03, 1.06, 1.1, 1.14, 1.17, 1.2, 1.23, 1.26, 1.29, 1.33, 1.36, 1.4, 1.43, 1.45, 1.48, 1.49, 1.51, 1.51, 1.5, 1.49, 1.47, 1.44, 1.41, 1.37, 1.34, 1.3, 1.27, 1.24, 1.22, 1.2, 1.19, 1.18, 1.16, 1.15, 1.14, 1.13, 1.12, 1.11, 1.11, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.09, 1.09, 1.08, 1.07, 1.06, 1.05, 1.04, 1.03, 1.03, 1.02, 1.01, 1.01, 1, 0.99, 0.98, 0.97, 0.96, 0.96, 0.95, 0.95, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.93, 0.92, 0.91, 0.9, 0.89, 0.88, 0.87, 0.87, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.85, 0.84, 0.83, 0.82, 0.81, 0.8, 0.8, 0.79, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.77, 0.75, 0.73, 0.71, 0.68, 0.65, 0.63, 0.61, 0.59, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.57, 0.57, 0.57, 0.56, 0.55, 0.55, 0.54, 0.54, 0.53, 0.52, 0.52, 0.51, 0.51, 0.5, 0.5, 0.49, 0.48, 0.48, 0.47, 0.47, 0.47, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.46, 0.52, 0.67, 0.9, 1.19, 1.52, 1.87, 2.22, 2.55, 2.84, 3.07, 3.22, 3.28, 3.28, 3.28, 3.28, 3.28, 3.28, 3.28, 3.28, 3.28, 3.28, 3.28, 3.28, 3.28, 3.24, 3.13, 2.97, 2.77, 2.54, 2.3, 2.05, 1.82, 1.62, 1.46, 1.35, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.31, 1.3, 1.26, 1.21, 1.14, 1.06, 0.97, 0.89, 0.81, 0.74, 0.69, 0.65, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.63, 0.63, 0.62, 0.62, 0.61, 0.6, 0.59, 0.59, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.59, 0.61, 0.63, 0.65, 0.68, 0.71, 0.73, 0.75, 0.77, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.77, 0.75, 0.73, 0.71, 0.68, 0.65, 0.63, 0.61, 0.59, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.59, 0.59, 0.6, 0.61, 0.62, 0.62, 0.63, 0.63, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.65, 0.66, 0.68, 0.69, 0.71, 0.73, 0.74, 0.76, 0.77, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.79, 0.81, 0.82, 0.84, 0.86, 0.88, 0.9, 0.92, 0.93, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.94, 0.93, 0.92, 0.91, 0.9, 0.89, 0.88, 0.87, 0.87, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.86, 0.85, 0.84, 0.82, 0.8, 0.78, 0.76, 0.75, 0.73, 0.72, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.72, 0.73, 0.74, 0.76, 0.78, 0.79, 0.82, 0.84, 0.86, 0.89, 0.91, 0.94, 0.97, 1, 1.02, 1.05, 1.08, 1.11, 1.14, 1.17, 1.19, 1.22, 1.25, 1.27, 1.29, 1.31, 1.33, 1.35, 1.36, 1.38, 1.39, 1.39, 1.4, 1.4, 1.4, 1.39, 1.37, 1.35, 1.32, 1.29, 1.26, 1.22, 1.18, 1.14, 1.1, 1.05, 1.01, 0.97, 0.93, 0.89, 0.85, 0.82, 0.78, 0.76, 0.74, 0.72, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.72, 0.73, 0.74, 0.75, 0.77, 0.78, 0.8, 0.82, 0.84, 0.87, 0.89, 0.92, 0.94, 0.97, 0.99, 1.02, 1.05, 1.08, 1.1, 1.13, 1.16, 1.18, 1.21, 1.23, 1.26, 1.28, 1.3, 1.32, 1.34, 1.35, 1.37, 1.38, 1.39, 1.4, 1.41, 1.41, 1.42, 1.42, 1.43, 1.43, 1.43, 1.44, 1.44, 1.44, 1.44, 1.45, 1.45, 1.45, 1.46, 1.46, 1.46, 1.47, 1.47, 1.48, 1.48, 1.49, 1.5, 1.51, 1.54, 1.62, 1.73, 1.88, 2.05, 2.24, 2.45, 2.67, 2.89, 3.11, 3.31, 3.51, 3.69, 3.86, 4.03, 4.18, 4.33, 4.48, 4.62, 4.76, 4.89, 5.02, 5.16, 5.29, 5.43, 5.57, 5.71, 5.86, 6.02, 6.18, 6.36, 6.54, 6.73, 6.93, 7.15, 7.38, 7.62, 7.88, 8.16, 8.46, 8.77, 9.11, 9.46, 9.84, 10.24, 10.67, 11.12, 11.6, 12.3, 13.66, 16, 38.43, 82.21, 146.6, 218.7, 226, 225.23, 223.08, 219.78, 212, 199.82, 184.6, 168, 151.65, 137.21, 126.31, 119.94, 115.52, 112.06, 108.92, 105.44, 101, 94.56, 86.36, 77.67, 69.76, 63.9, 60.38, 57.41, 54.84, 52.57, 50.56, 48.71, 46.97, 45.25, 43.48, 41.6, 39.5, 37.19, 34.81, 32.46, 30.27, 28.36, 26.85, 25.86, 25.5, 25.5, 25.5, 25.5, 25.5, 25.5, 25.5, 25.5, 25.5, 25.5, 25.5, 25.5, 25.5, 25.27, 24.65, 23.7, 22.52, 21.17, 19.75, 18.33, 16.98, 15.8, 14.85, 14.23, 14, 14.02, 14.08, 14.17, 14.29, 14.44, 14.61, 14.8, 15.01, 15.23, 15.47, 15.71, 15.95, 16.19, 16.43, 16.67, 16.89, 17.1, 17.29, 17.46, 17.61, 17.73, 17.82, 17.88, 17.9, 17.63, 16.88, 15.75, 14.33, 12.71, 10.98, 9.23, 7.56, 6.05, 4.81, 3.92, 3.47, 3.28, 3.1, 2.93, 2.76, 2.61, 2.46, 2.32, 2.19, 2.07, 1.96, 1.85, 1.75, 1.66, 1.58, 1.51, 1.44, 1.39, 1.34, 1.29, 1.26, 1.23, 1.22, 1.2, 1.2, 1.2, 1.2, 1.2, 1.2, 1.21, 1.21, 1.21, 1.21, 1.22, 1.22, 1.22, 1.23, 1.23, 1.23, 1.24, 1.24, 1.25, 1.25, 1.25, 1.26, 1.26, 1.27, 1.27, 1.27, 1.28, 1.28, 1.28, 1.29, 1.29, 1.29, 1.29, 1.3, 1.3, 1.3, 1.3, 1.3, 1.3, 1.3, 1.3, 1.3, 1.3, 1.3, 1.29, 1.29, 1.29, 1.29, 1.28, 1.28, 1.28, 1.27, 1.27, 1.26, 1.25, 1.25, 1.24, 1.23, 1.23, 1.22, 1.21, 1.2, 1.16, 1.06, 0.95, 0.83, 0.74, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.71, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.69, 0.69, 0.69, 0.69, 0.69, 0.69, 0.69, 0.69, 0.68, 0.68, 0.68, 0.68, 0.68, 0.68, 0.67, 0.67, 0.67, 0.67, 0.67, 0.67, 0.67, 0.66, 0.66, 0.66, 0.66, 0.66, 0.66, 0.66, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.65, 0.66, 0.68, 0.69, 0.71, 0.73, 0.74, 0.76, 0.77, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.8, 0.86, 0.95, 1.08, 1.25, 1.46, 1.7, 1.97, 2.28, 2.63, 3.01, 3.42, 3.87, 4.35, 4.86, 5.4, 5.98, 6.59, 7.92, 10.49, 14.04, 18.31, 23.04, 27.98, 32.87, 37.45, 41.46, 44.64, 46.74, 47.5, 46.86, 45.16, 42.77, 40.04, 37.33, 35, 32.74, 30.21, 27.7, 25.5, 23.9, 23.2, 23.06, 22.94, 22.84, 22.77, 22.72, 22.7, 22.8, 23.23, 23.95, 24.91, 26.04, 27.3, 28.76, 30.7, 33.39, 37.12, 42.15, 48.77, 65.22, 252.1, 257, 237.32, 221.19, 212, 208.67, 206.89, 205.2, 202.15, 189.82, 172, 165.3, 160.49, 156.8, 153.44, 149.62, 144.6, 138.27, 131, 123.11, 114.9, 106.69, 98.79, 91.5, 85.13, 80, 75.53, 71.03, 66.65, 62.54, 58.85, 55.73, 53.31, 51.75, 51.2, 56.53, 68.25, 80, 91.01, 102.03, 109, 112.37, 115.29, 117.68, 119.48, 120.61, 121, 119.45, 115.57, 110.52, 105.47, 101.58, 100, 99.97, 99.94, 99.92, 99.9, 99.88, 99.86, 99.85, 99.84, 99.83, 99.82, 99.81, 99.81, 99.8, 99.8, 99.8, 122.15, 163.65, 186, 182.96, 175.15, 164.56, 153.18, 143, 136, 131.37, 126.98, 122.81, 118.85, 115.09, 111.52, 108.13, 104.9, 101.83, 98.9, 96.11, 93.44, 90.87, 88.41, 86.04, 83.74, 81.51, 79.33, 77.2, 75.1, 73.02, 70.95, 68.88, 66.8, 64.87, 63.14, 61.4, 59.53, 57.67, 56, 54.6, 53.36, 52.2, 51.05, 49.85, 48.5, 46.87, 44.92, 42.74, 40.42, 38.04, 35.69, 33.46, 31.44, 29.72, 28.38, 27.51, 27.2, 27.2, 27.2, 27.2, 27.2, 27.2, 27.2, 27.2, 27.2, 27.2, 27.2, 27.2, 27.2, 27.14, 26.97, 26.7, 26.35, 25.95, 25.49, 25.02, 24.53, 24.04, 23.58, 23.16, 22.8, 22.46, 22.11, 21.75, 21.39, 21.03, 20.69, 20.36, 20.05, 19.78, 19.54, 19.35, 19.2, 19.09, 19, 18.92, 18.85, 18.79, 18.74, 18.68, 18.62, 18.56, 18.49, 18.4, 18.3, 18.17, 18.02, 17.83, 17.63, 17.41, 17.18, 16.93, 16.68, 16.43, 16.18, 15.93, 15.7, 15.47, 15.22, 14.97, 14.71, 14.45, 14.18, 13.93, 13.68, 13.44, 13.21, 13, 12.8, 12.62, 12.46, 12.31, 12.16, 12.03, 11.89, 11.76, 11.62, 11.48, 11.33, 11.17, 11, 10.81, 10.59, 10.36, 10.12, 9.86, 9.61, 9.36, 9.12, 8.89, 8.68, 8.5, 8.35, 8.21, 8.08, 7.94, 7.81, 7.68, 7.56, 7.46, 7.36, 7.29, 7.23, 7.19, 7.18, 7.51, 8.42, 9.81, 11.58, 13.63, 15.86, 18.16, 20.44, 22.58, 24.49, 26.06, 27.2, 28.08, 28.95, 29.81, 30.65, 31.48, 32.28, 33.07, 33.82, 34.55, 35.25, 35.92, 36.56, 37.15, 37.71, 38.23, 38.7, 39.13, 39.5, 39.83, 40.1, 40.31, 40.47, 40.57, 40.6, 40.49, 40.16, 39.64, 38.94, 38.09, 37.1, 36, 34.79, 33.51, 32.17, 30.79, 29.39, 27.99, 26.6, 25.25, 23.96, 22.75, 21.63, 20.63, 19.76, 19.04, 18.49, 18.14, 18, 17.97, 17.95, 17.94, 17.92, 17.91, 17.9, 17.89, 17.88, 17.87, 17.85, 17.83, 17.8, 17.7, 17.46, 17.13, 16.7, 16.21, 15.68, 15.13, 14.57, 14.04, 13.56, 13.14, 12.8, 12.52, 12.27, 12.02, 11.79, 11.57, 11.37, 11.16, 10.97, 10.78, 10.59, 10.39, 10.2, 10.01, 9.81, 9.63, 9.44, 9.26, 9.08, 8.9, 8.73, 8.56, 8.39, 8.22, 8.06, 7.9, 7.73, 7.57, 7.41, 7.25, 7.09, 6.94, 6.79, 6.65, 6.52, 6.4, 6.28, 6.17, 6.08, 5.98, 5.9, 5.81, 5.73, 5.65, 5.57, 5.49, 5.41, 5.32, 5.23, 5.14, 5.04, 4.94, 4.84, 4.74, 4.63, 4.53, 4.43, 4.33, 4.23, 4.13, 4.03, 3.93, 3.81, 3.69, 3.57, 3.45, 3.33, 3.22, 3.12, 3.04, 2.98, 2.93, 2.92, 2.92, 2.92, 2.92, 2.92, 2.92, 2.92, 2.92, 2.92, 2.92, 2.92, 2.92, 2.92, 2.9, 2.86, 2.8, 2.71, 2.62, 2.52, 2.42, 2.33, 2.24, 2.18, 2.14, 2.12, 2.12, 2.12, 2.12, 2.12, 2.12, 2.12, 2.12, 2.12, 2.12, 2.12, 2.12, 2.12, 2.1, 2.06, 2, 1.91, 1.82, 1.71, 1.61, 1.5, 1.4, 1.32, 1.25, 1.2, 1.16, 1.13, 1.1, 1.06, 1.03, 1, 0.97, 0.93, 0.9, 0.87, 0.85, 0.82, 0.79, 0.77, 0.74, 0.72, 0.69, 0.67, 0.65, 0.63, 0.61, 0.59, 0.58, 0.56, 0.54, 0.53, 0.52, 0.51, 0.5, 0.49, 0.48, 0.48, 0.47, 0.47, 0.46, 0.46, 0.47, 0.48, 0.5, 0.53, 0.56, 0.59, 0.62, 0.64, 0.67, 0.69, 0.7, 0.71, 0.71, 0.71, 0.71, 0.7, 0.7, 0.7, 0.69, 0.69, 0.69, 0.68, 0.68, 0.67, 0.67, 0.67, 0.66, 0.66, 0.65, 0.65, 0.65, 0.65, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.64, 0.65, 0.65, 0.65, 0.66, 0.66, 0.67, 0.68, 0.69, 0.69, 0.7, 0.71, 0.73, 0.74, 0.75, 0.76, 0.78, 0.8, 0.81, 0.83, 0.85, 0.87, 0.89, 0.92, 0.94, 0.97, 0.99, 1.02, 1.05, 1.08, 1.11, 1.15, 1.18, 1.32, 1.66, 2.21, 2.97, 3.94, 5.11, 6.5, 8.1, 9.9, 11.92, 14.15, 16.6, 22.3, 22.8, 24.48, 30.38, 35.74, 42.4, 57.14, 94.04, 112.9, 123.4, 130.4, 130, 119.4, 120.7, 116.8, 118.1, 119.4, 124.8, 143.5, 204, 294, 319.2, 328.4, 365, 350.8, 347.6, 347.6, 325, 331.6, 319.2, 308, 308, 308, 308, 296.8, 300, 281, 278.4, 270.6, 271, 253.6, 233.5, 219.2, 207.8, 205.9, 204, 189.6, 178.8, 173.4, 160, 154.4, 146, 145, 140.5, 130.4, 126.2, 116.8, 112.9, 106.5, 101.6, 98.51, 82.67, 67.3, 80.05, 76.12, 72.3, 71.02, 69.78, 67.3, 67.3, 68.54, 57.6, 71.02, 66.06, 59.12, 57.14, 55.16, 55.16, 52.19, 52.19, 51.2, 48.56, 44.16, 43, 45.92, 49.44, 44.16, 36.48, 35.74, 35, 32.36, 37.22, 32.36, 32.36, 32.36, 33.68, 32.36, 31.7, 35.74, 29.72, 32.36, 30.38, 29.72, 28.4, 28.4, 28.4, 27.28, 25.6, 25.04, 23.92, 22.3, 21.8, 21.8, 21.8, 22.8, 21.8, 25.6, 22.8, 22.8, 17.8, 16.04, 16.04, 16.04, 16.04, 16.04, 16.04, 16.04, 16.04, 16.04, 16.04, 15.02, 14, 14.03, 14.11, 14.25, 14.45, 14.72, 15.06, 15.46, 15.95, 16.51, 17.15, 17.87, 18.69, 19.59, 20.59, 21.69, 22.88, 24.18, 25.59, 27.1, 28.73, 30.48, 32.34, 34.33, 36.44, 38.69, 41.06, 43.57, 46.22, 49.01, 51.95, 55.04, 58.27, 61.66, 65.21, 68.92, 72.8, 88.09, 104.9, 105.7, 110.3, 111.6, 110.3, 106.5, 105.7, 103.3, 100, 97.02, 98.8, 91.07, 83.98, 88.09, 81.36, 78.74, 77.43, 77.43, 73.5, 74.81, 72.63, 68.58, 66.4, 68.54, 69.78, 67.3, 64.82, 61.1, 59.12, 56.15, 53.18, 50.32, 49.44, 44.16, 36.5, 42.4, 37.96, 37.22, 33.68, 36.48, 35.74, 35, 35, 37.22, 37.22, 39.44, 32.6, 34.54, 36.48, 35.74, 34.34, 33.68, 33.02, 31.04, 29.72, 29.72, 29.72, 26.16, 25.6, 29.72, 18.3, 22.3, 21.3, 21.8, 21.8, 20.3, 20.8, 25.04, 25.04, 25.6, 25.6, 25.04, 25.6, 25.04, 25.6, 23.92, 25.04, 21.3, 21.8, 22.3, 21.8, 20.8, 16.1, 20.3, 18.3, 13.22, 19.3, 19.3, 18.3, 14.4, 13.86, 13.36, 12.9, 12.48, 12.1, 11.75, 11.43, 11.15, 10.9, 10.67, 10.48, 10.31, 10.16, 10.04, 9.93, 9.85, 9.78, 9.73, 9.69, 9.67, 9.65, 9.65, 12.08, 8.67, 11.7, 11.38, 10.65, 9.84, 9.32, 9.07, 8.85, 8.66, 8.49, 8.35, 8.22, 8.1, 7.98, 7.86, 7.74, 7.61, 7.47, 7.31, 7.14, 6.96, 6.78, 6.58, 6.39, 6.19, 5.99, 5.78, 5.58, 5.39, 5.2, 5.01, 4.83, 4.67, 4.51, 4.37, 4.24, 4.12, 4.02, 3.95, 3.89, 3.85, 3.84, 4.41, 5.77, 7.39, 8.75, 9.32, 9.18, 9, 8.94, 8.88, 8.83, 8.78, 8.73, 8.68, 8.64, 8.6, 8.56, 8.53, 8.5, 8.47, 8.45, 8.42, 8.4, 8.39, 8.37, 8.36, 8.35, 8.35, 8.34, 8.34, 8.67, 9.65, 9.62, 9.53, 9.4, 9.21, 8.98, 8.7, 8.4, 8.06, 7.69, 7.3, 6.89, 6.47, 6.03, 5.59, 5.14, 4.7, 4.26, 3.83, 3.42, 3.02, 2.65, 2.3, 1.98, 1.7, 1.45, 1.25, 1.09, 0.99, 0.94, 0.92, 0.91, 0.89, 0.87, 0.85, 0.84, 0.82, 0.81, 0.79, 0.78, 0.77, 0.75, 0.74, 0.73, 0.72, 0.71, 0.7, 0.69, 0.68, 0.67, 0.66, 0.65, 0.64, 0.64, 0.63, 0.63, 0.62, 0.62, 0.61, 0.61, 0.61, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.61, 0.61, 0.61, 0.61, 0.61, 0.61, 0.62, 0.62, 0.62, 0.62, 0.63, 0.63, 0.63, 0.63, 0.63, 0.64, 0.64, 0.64, 0.64, 0.64, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.64, 0.63, 0.62, 0.6, 0.59, 0.57, 0.55, 0.54, 0.53, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.51, 0.51, 0.51, 0.5, 0.5, 0.49, 0.48, 0.47, 0.47, 0.46, 0.45, 0.45, 0.44, 0.43, 0.42, 0.42, 0.41, 0.41, 0.41, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.41, 0.42, 0.43, 0.44, 0.46, 0.48, 0.5, 0.53, 0.55, 0.58, 0.61, 0.64, 0.67, 0.7, 0.73, 0.77, 0.8, 0.83, 0.87, 0.9, 0.93, 0.96, 0.99, 1.02, 1.05, 1.08, 1.1, 1.12, 1.14, 1.16, 1.17, 1.18, 1.19, 1.2, 1.2, 1.2, 1.19, 1.17, 1.15, 1.12, 1.09, 1.06, 1.02, 0.98, 0.94, 0.9, 0.86, 0.82, 0.78, 0.74, 0.7, 0.66, 0.63, 0.6, 0.57, 0.55, 0.53, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.52, 0.51, 0.51, 0.5, 0.5, 0.49, 0.49, 0.48, 0.47, 0.47, 0.47, 0.46, 0.46, 0.45, 0.45, 0.45, 0.44, 0.44, 0.44, 0.43, 0.43, 0.43, 0.42, 0.42, 0.42, 0.41, 0.41, 0.41, 0.41, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.42, 0.42, 0.42, 0.42, 0.42, 0.42, 0.42, 0.42, 0.42, 0.43, 0.43, 0.43, 0.43, 0.43, 0.43, 0.44, 0.44, 0.44, 0.44, 0.44, 0.44, 0.45, 0.45, 0.45]}]};
  • 双数轴配置参数:

yAxis.scale boolean

[ default: false ]

只在数值轴中(type: ‘value’)有效。

是否是脱离 0 值比例。设置成 true 后坐标刻度不会强制包含零刻度。在双数值轴的散点图中比较有用。

在设置 min 和 max 之后该配置项无效。

15.坐标轴指示器(axisPointer )

​ 这是坐标轴指示器(axisPointer)的全局公用设置。

​ 不同轴的 axisPointer 可以进行联动,在这里设置。联动表示轴能同步一起活动。轴依据他们的 axisPointer 当前对应的值来联动。

  • 相同类型坐标轴联动:
   axisPointer:[//link 是一个数组,其中每一项表示一个 link group,一个 group 中的坐标轴互相联动。link: [{// 表示所有 xAxisIndex 为 0、3、4 和 yAxisName 为 'someName' 的坐标轴联动。xAxisIndex: [0,1,2],yAxisName: 'someName'},{//表示左右 xAxisId 为 'aa'、'cc' 以及所有的 angleAxis 联动。xAxisId: ['aa', 'cc'],angleAxis: 'all'},...],]
{// 以下的 'some' 均表示轴的维度,也就是表示 'x', 'y', 'radius', 'angle', 'single'someAxisIndex: [...], // 可以是一个数组或单值或 'all'someAxisName: [...],  // 可以是一个数组或单值或 'all'someAxisId: [...],    // 可以是一个数组或单值或 'all'
}
  • 不同坐标轴联动:
/**
1.mapper 的输入参数:{number} sourceVal{Object} sourceAxisInfo 里面包含 {axisDim, axisId, axisName, axisIndex} 等信息{Object} targetAxisInfo 里面包含 {axisDim, axisId, axisName, axisIndex} 等信息
2.mapper 的返回值:{number} 转换结果
*///如果 axis 的类型不同,比如 axisA type 为 'category',axisB type 为 'time',可以在每个 link group 中写转换函数(mapper)来进行值的转换
link: [{xAxisIndex: [0, 1],yAxisName: ['yy'],mapper: function (sourceVal, sourceAxisInfo, targetAxisInfo) {if (sourceAxisInfo.axisName === 'yy') {// from timestamp to '2012-02-05'return echarts.format.formatTime('yyyy-MM-dd', sourceVal);}else if (targetAxisInfo.axisName === 'yy') {// from '2012-02-05' to datereturn echarts.number.parseDate(dates[sourceVal]);}else {return sourceVal;}}
}]
  • 提示框的触发条件:triggerOn
axisPointer.triggerOn string[ default: 'mousemove|click' ]
提示框触发的条件,可选:'mousemove'  鼠标移动时触发。'click'  鼠标点击时触发。'none'  不在 'mousemove' 或 'click' 时触发。

16.定时滑动滚动条

// 定时器
setInterval(function() {// 每次向后滚动一个,最后一个从头开始。
if(option.dataZoom[0].endValue == data.xData.length - 1){option.dataZoom[0].endValue = 4;
option.dataZoom[0].startValue = 0;
}else{option.dataZoom[0].endValue = option.dataZoom[0].endValue + 1;
option.dataZoom[0].startValue = option.dataZoom[0].startValue + 1;
}
myChart.setOption(option);}, 3000);

17.echarts-for-react

  • (1)使用方法
import * as React from "react";
import ReactEcharts from "echarts-for-react";<ReactEchartsoption={this.getOption()}notMerge={true}lazyUpdate={true}theme={"theme_name"}onChartReady={this.onChartReadyCallback}onEvents={EventsDict}opts={}
/>

参数说明:

  • option (required, object)

这个是核心,是必须的,包含echarts图表的配置项和数据,如标题title、图例legend、提示框tooltip、x轴xAxis、y轴yAxis、series等

  • notMerge (optional, object)

可选,是否不跟之前设置的 option 进行合并,默认为 false,即合并。

  • lazyUpdate (optional, object)

可选,在设置完 option 后是否不立即更新图表,默认为 false,即立即更新。

  • style (optional, object)

包含echarts图表的div的样式,默认是{height: ‘300px’}.

  • className (optional, string)

包含echarts图表的div的类名. 可以根据需要自行配置类名,不同类配置不同的css。

  • theme (optional, string)

应用的主题。可以是一个主题的配置对象。

  • onChartReady (optional, function)

当图表准备好时,将图表作为参数传给回调函数

  • loadingOption (optional, object)
  • showLoading (optional, bool, default: false)

是否加载动画效果

  • onEvents (optional, array(string=>function) )

为图表绑定事件

  • opts (optional, object)

附加参数。有下面几个可选项:

devicePixelRatio
设备像素比,默认取浏览器的值window.devicePixelRatio
renderer
渲染器,支持 'canvas' 或者 'svg'。参见 [使用 Canvas 或者 SVG 渲染](http://echarts.baidu.com/tutorial.html#使用 Canvas 或者 SVG 渲染)。
width
可显式指定实例宽度,单位为像素。如果传入值为 null/undefined/'auto',则表示自动取 dom(实例容器)的宽度。
height
可显式指定实例高度,单位为像素。如果传入值为 null/undefined/'auto',则表示自动取 dom(实例容器)的高度。

  • (2)React.Fragment

    ​ Fragments 可以让你聚合一个子元素列表,并且不在DOM中增加额外节点,代替div作为外层

    //可以简写  <></>
    <React.Fragment><ReactEcharts option={this.getOption()}style={{width:100,height:90}}/>
    </React.Fragment>
    

18.折线分段显示

  • https://gallery.echartsjs.com/editor.html?c=xtUUj2-aan

[外链图片转存失败(img-rcbamgYQ-1566542261944)(C:\Users\Administrator\AppData\Roaming\Typora\typora-user-images\1565840077791.png)]

  • https://gallery.echartsjs.com/editor.html?c=xANweKHK71

[外链图片转存失败(img-I80JP9oL-1566542261944)(C:\Users\Administrator\AppData\Roaming\Typora\typora-user-images\1565840335680.png)]

  • https://gallery.echartsjs.com/editor.html?c=x3EwRv0DG7

[外链图片转存失败(img-yQRgom0a-1566542261944)(C:\Users\Administrator\AppData\Roaming\Typora\typora-user-images\1565840945580.png)]

** (optional, object)

可选,在设置完 option 后是否不立即更新图表,默认为 false,即立即更新。

  • style (optional, object)

包含echarts图表的div的样式,默认是{height: ‘300px’}.

  • className (optional, string)

包含echarts图表的div的类名. 可以根据需要自行配置类名,不同类配置不同的css。

  • theme (optional, string)

应用的主题。可以是一个主题的配置对象。

  • onChartReady (optional, function)

当图表准备好时,将图表作为参数传给回调函数

  • loadingOption (optional, object)
  • showLoading (optional, bool, default: false)

是否加载动画效果

  • onEvents (optional, array(string=>function) )

为图表绑定事件

  • opts (optional, object)

附加参数。有下面几个可选项:

devicePixelRatio
设备像素比,默认取浏览器的值window.devicePixelRatio
renderer
渲染器,支持 'canvas' 或者 'svg'。参见 [使用 Canvas 或者 SVG 渲染](http://echarts.baidu.com/tutorial.html#使用 Canvas 或者 SVG 渲染)。
width
可显式指定实例宽度,单位为像素。如果传入值为 null/undefined/'auto',则表示自动取 dom(实例容器)的宽度。
height
可显式指定实例高度,单位为像素。如果传入值为 null/undefined/'auto',则表示自动取 dom(实例容器)的高度。

  • (2)React.Fragment

    ​ Fragments 可以让你聚合一个子元素列表,并且不在DOM中增加额外节点,代替div作为外层

    //可以简写  <></>
    <React.Fragment><ReactEcharts option={this.getOption()}style={{width:100,height:90}}/>
    </React.Fragment>
    

18.折线分段显示

  • https://gallery.echartsjs.com/editor.html?c=xtUUj2-aan

[外链图片转存中…(img-rcbamgYQ-1566542261944)]

  • https://gallery.echartsjs.com/editor.html?c=xANweKHK71

[外链图片转存中…(img-I80JP9oL-1566542261944)]

  • https://gallery.echartsjs.com/editor.html?c=x3EwRv0DG7

[外链图片转存中…(img-yQRgom0a-1566542261944)]

echarts结合react开发基础知识学习相关推荐

  1. 物联网竞赛-基于CC2530寄存器开发-基础知识学习

    基于CC2530寄存器开发-基础知识学习 一.C语言基础知识学习 二.单片机基础知识学习 三.CC2530数据手册的使用 四.常用到的寄存器或函数 1.常用到的寄存器 2.常需要用到的宏.自定义的函数 ...

  2. 大数据入门培训之大数据开发基础知识学习

    在目前相信大多数IT开发人员对于人工智能+大数据并不陌生,使用的场景也越来越广,日常开发中前端同学也逐渐接触了更多与大数据相关的开发需求.因此对大数据知识也有必要进行一些学习理解,带大家来学习了解一下 ...

  3. Web前端开发基础三剑客学习知识分享

    Web前端开发基础知识学习路线分享,前端开发入门学习三大基础:HTML.CSS.JavaScript.除此之外还要学习数据可视化.Vue.React.Angular相关框架,熟练运用框架提升开发效率, ...

  4. 网站前端开发基础知识学什么?必备技能

    网站前端开发基础知识学什么?Web前端开发网页制主要由HTML.CSS.JavaScript三大要素组成.随着企业需求变,前端开发技术的三要素也演变成现今的HTML5.CSS3.jQuery.响应式布 ...

  5. 【嵌入式Linux】嵌入式Linux驱动开发基础知识之Pinctrl子系统和GPIO子系统的使用

    文章目录 前言 1.Pinctrl子系统 1.1.为什么有Pinctrl子系统 1.2.重要的概念 1.3.代码中怎么引用pinctrl 2.GPIO子系统 2.1.为什么有GPIO子系统 2.2.在 ...

  6. 【嵌入式Linux】嵌入式Linux驱动开发基础知识之按键驱动框架

    文章目录 前言 1.APP怎么读取按键值 1.1.查询方式 1.2.休眠-唤醒方式 1.3.poll方式 1.3.异步通知方式 1.5. 驱动程序提供能力,不提供策略 2.按键驱动程序框架--查询方式 ...

  7. 【嵌入式Linux】嵌入式Linux驱动开发基础知识之LED模板驱动程序的改造:设备树

    文章目录 前言 1.驱动的三种编写方法 2.怎么使用设备树写驱动程序 2.1.设备树节点要与platform_driver能匹配 2.2.修改platform_driver的源码 3.实验和调试技巧 ...

  8. 【嵌入式Linux】嵌入式Linux驱动开发基础知识之设备树模型

    文章目录 前言 1.设备树的作用 2.设备树的语法 2.1.设备树的逻辑图和dts文件.dtb文件 2.1.1.1Devicetree格式 1DTS文件的格式 node的格式 properties的格 ...

  9. 【嵌入式Linux】嵌入式Linux驱动开发基础知识之总线设备驱动模型

    文章目录 前言 1.驱动编写的三种方法 1.1.传统写法 1.2.总线驱动模型 1.3.设备树驱动模型 2.Linux实现分离:Bus/Dev/Drv模型 2.1.Bus/Dev/Drv模型 2.2. ...

最新文章

  1. 实验6      VRRP网关备份(下)
  2. jQueryMobile常用技巧
  3. BUUCTF(pwn)picoctf_2018_are you root
  4. jsoncpp 构造空数组
  5. 扫地机器人隔板_【扫地机器人使用】_摘要频道_什么值得买
  6. 深度学习:波士顿房价预测
  7. P3223 [HNOI2012]排队
  8. JVM 自带使用总结
  9. Flex Builder中创建的项目4种
  10. 在线 LaTeX 公式编辑器
  11. 《具体数学》部分习题解答3
  12. 清空文本框java_Java 添加、删除Word文档中的文本框
  13. 第十六届全国大学生智能车广东赛区高校组合汇总
  14. 李理:自动梯度求解——使用自动求导实现多层神经网络
  15. 测试数据科学家聚类技术的40个问题(附答案和分析)
  16. linux smb无密码错误,smb无法登录提示用户名密码不正确错误排查
  17. wdcp服务器权限修改,Linux下wdcp控制面板安装tipask3.0教程
  18. 关于对接支付接口遇到的问题(微信和支付宝)
  19. 使用C语言来访问ARM寄存器的语法
  20. texstudio暗色主题2.0

热门文章

  1. 解决eclipse控制台不能正常输入问题的心路历程
  2. 面试官常问的10个Linux问题
  3. 如何打造一款工业级5G CPE+WiFi6路由器-5G工业网关解密
  4. android设备修改默认桌面为自定义应用
  5. Catia V5-6R2016安装教程 win10系统
  6. python爬虫下载小说_用PYTHON爬虫简单爬取网络小说
  7. [爬虫架构] 如何在分布式爬虫架构中动态维护一个代理IP池(付费代理)
  8. Google网址大全
  9. onscroll事件没有响应的问题
  10. 字符串相关,可变长字符串,异常