Toggle navigation
时间轴--全国宏观经济指标
By
心***阔
2019-01-10 02:28:48
脚本
16
21
作品使用的第三方脚本
数据管理
上传数据
支持小于 5M 任意格式(csv, xlsx, json, xml, ...)的数据文件
上传后可以通过生成的文件链接异步获取托管的数据。
历史数据
0 条
无历史数据
代码修改记录
信息提示
保存作品
对当前截图不满意?你还可以
上传本地截图
重新截图
作品名称
作品描述
标签
geo
grid
legend
markLine
markPoint
bar
effectScatter
line
lines
map
timeline
title
toolbox
tooltip
visualMap
作品默认版本
最新
16
15
14
13
12
11
10
9
8
7
6
5
4
3
2
1
20:11:45
图表已生成
整理代码
刷新
代码
var dataMap = {}; function dataFormatter(obj) { return obj; } dataMap.datafans = dataFormatter({ //max : 60000, 2011:[-648,7000,4000,4882,752,-829,10502,-711,13000,87063,1000,1000,], 2010:[75,68,66,9,5,91,48,0,66,25,73,75,33,], 2009:[26,4,10,86,11,94,8,40,39,1,64,10,95,], 2008:[46,82,3,60,94,9,28,94,25,47,68,38,35,], 2007:[82,56,61,33,78,82,15,91,92,4,89,40,33,], 2006:[45,42,41,34,93,89,9,49,5,59,58,18,71,], 2005:[99,34,3,52,72,14,51,44,37,86,7,47,11,], 2004:[28,18,54,99,45,67,69,74,52,32,38,26,12,], 2003:[87,9,90,83,49,13,41,16,29,49,36,77,4,], 2002:[83,38,85,1,83,51,61,63,35,56,74,78,90,], }); dataMap.datapub = dataFormatter({ //max : 3600, 2011:[0,1,3,1,0,2,2,0,0,1,1,1,], 2010:[8,62,21,22,94,34,45,80,64,22,74,75,15,], 2009:[91,88,17,84,99,87,45,40,59,77,63,69,98,], 2008:[45,21,16,86,67,57,76,74,49,0,84,37,57,], 2007:[34,62,66,85,89,8,75,84,65,82,0,77,67,], 2006:[0,90,46,24,28,50,48,44,74,53,40,98,34,], 2005:[18,65,81,78,4,22,88,23,53,17,70,90,71,], 2004:[84,41,41,76,84,96,63,68,47,8,32,75,73,], 2003:[73,33,29,86,78,7,96,50,6,84,51,42,74,], 2002:[35,3,43,56,78,9,16,8,76,68,39,92,74,], }); dataMap.dataread = dataFormatter({ //max : 3200, 2011:[3356489,0,0,1261423,3772235,630391,6053564,117738,0,108012545,0,0,], 2010:[27,76,76,81,75,51,20,85,54,72,38,62,58,], 2009:[75,62,65,83,78,10,52,95,58,41,64,23,21,], 2008:[46,3,43,84,32,75,39,3,65,20,26,80,69,], 2007:[86,73,84,8,13,97,88,77,67,14,1,86,49,], 2006:[55,29,31,17,94,40,43,68,68,32,52,14,18,], 2005:[50,29,66,52,36,8,4,24,72,83,74,13,75,], 2004:[3,65,20,93,30,68,90,56,2,39,92,75,26,], 2003:[5,51,89,34,42,73,51,40,89,36,65,24,79,], 2002:[95,4,64,68,65,40,23,11,43,63,14,55,70,], }); option = { baseOption: { toolbox : { 'show':true, orient : 'vertical', x: 'right', y: 'center', 'feature':{ 'mark':{'show':true}, 'dataView':{'show':true,'readOnly':false}, 'magicType':{'show':true,'type':['line']}, 'restore':{'show':true}, 'saveAsImage':{'show':true} } }, timeline: { // y: 0, axisType: 'category', autoPlay: false, playInterval: 1000, data: [ '2019-09-02','2019-09-03','2019-09-04','2019-09-05', '2019-09-06','2019-09-07','2019-09-08','2019-09-09','2019-09-10','2019-09-11' ], label: { formatter : function(s) { return ((new Date(s)).getMonth()+1+"月"+(new Date(s)).getDate()+"日"); } } }, tooltip: {}, legend: { x: 'right', data: ['增粉', '新增阅读量', '发布量'], selected: { '发布量': false,'新增阅读量':false } }, calculable : true, grid: { top: 80, bottom: 100 }, xAxis: [ { type:'category', axisLabel:{'interval':0}, data:[ '江湖大妈','决不放弃的大碗','看点故事','科技猿人','克拉斯-狗蛋','外洋知事','我在现场','小猪猪的奶茶妹','叶大官人','支付宝','支付宝的朋友们','支付宝那些事' ], splitLine: {show: false} } ], yAxis: [ { type: 'value', name: '(万)', }, { type: 'value', name: '发布量', } ], series: [ {name: '增粉', type: 'bar', markLine:{ symbol : ['arrow','none'], symbolSize : [4, 2], itemStyle : { normal: { lineStyle: {color:'orange'}, barBorderColor:'orange', label:{ position:'left', formatter:function(params){ return "平均增粉"+Math.round(params.value)+"万"; }, textStyle:{color:'orange'} } } }, data:[{type:'average',name:'平均值'}] }, //data: dataMap.datafans['2002'] }, {name: '新增阅读量', type: 'bar'}, {name: '发布量', 'yAxisIndex':1,type: 'bar'}, ] }, options: [ { title: {text: '矩阵数据看板'}, series: [ {data: dataMap.datafans['2002']}, {data: dataMap.dataread['2002']}, {data: dataMap.datapub['2002']}, ] }, { title : {text: '矩阵数据看板'}, series : [ {data: dataMap.datafans['2003']}, {data: dataMap.dataread['2003']}, {data: dataMap.datapub['2003']}, ] }, { title : {text: '矩阵数据看板'}, series : [ {data: dataMap.datafans['2004']}, {data: dataMap.dataread['2004']}, {data: dataMap.datapub['2004']}, ] }, { title : {text: '矩阵数据看板'}, series : [ {data: dataMap.datafans['2005']}, {data: dataMap.dataread['2005']}, {data: dataMap.datapub['2005']}, ] }, { title : {text: '矩阵数据看板'}, series : [ {data: dataMap.datafans['2006']}, {data: dataMap.dataread['2006']}, {data: dataMap.datapub['2006']}, ] }, { title : {text: '矩阵数据看板'}, series : [ {data: dataMap.datafans['2007']}, {data: dataMap.dataread['2007']}, {data: dataMap.datapub['2007']}, ] }, { title : {text: '矩阵数据看板'}, series : [ {data: dataMap.datafans['2008']}, {data: dataMap.dataread['2008']}, {data: dataMap.datapub['2008']}, ] }, { title : {text: '矩阵数据看板'}, series : [ {data: dataMap.datafans['2009']}, {data: dataMap.dataread['2009']}, {data: dataMap.datapub['2009']}, ] }, { title : {text: '矩阵数据看板'}, series : [ {data: dataMap.datafans['2010']}, {data: dataMap.dataread['2010']}, {data: dataMap.datapub['2010']}, ] }, { title : {text: '矩阵数据看板'}, series : [ {data: dataMap.datafans['2011']}, {data: dataMap.dataread['2011']}, {data: dataMap.datapub['2011']}, ] } ] };