ECharts 响应式 |

最编程 2024-02-18 09:51:20

...

$.when(
$.getScript('https://www.runoob.com/static/js/timelineGDP.js'),
$.getScript('https://www.runoob.com/static/js/draggable.js')
).done(function () {

draggable.init(
$('div[_echarts_instance_]')[0],
myChart,
{
width: 700,
height: 630,
lockY: true,
throttle: 70
}
);

myChart.hideLoading();

var categoryData = [
'北京','天津','河北','山西','内蒙古','辽宁','吉林','黑龙江',
'上海','江苏','浙江','安徽','福建','江西','山东','河南',
'湖北','湖南','广东','广西','海南','重庆','四川','贵州',
'云南','*','陕西','甘肃','青海','宁夏','*'
];

option = {
baseOption: {
timeline: {
axisType: 'category',
autoPlay: true,
playInterval: 1000,
data: [
'2002-01-01', '2003-01-01', '2004-01-01',
'2005-01-01', '2006-01-01', '2007-01-01',
'2008-01-01', '2009-01-01', '2010-01-01',
'2011-01-01'
],
label: {
formatter : function(s) {
return (new Date(s)).getFullYear();
}
}
},
title: {
subtext: 'Media Query 示例'
},
tooltip: {
trigger:'axis',
axisPointer: {
type: 'shadow'
}
},
xAxis: {
type: 'value',
name: 'GDP（亿元）',
max: 30000,
data: null
},
yAxis: {
type: 'category',
data: categoryData,
axisLabel: {interval: 0},
splitLine: {show: false}
},
legend: {
data: ['第一产业', '第二产业', '第三产业', 'GDP', '金融', '房地产'],
selected: {
'GDP': false, '金融': false, '房地产': false
}
},
calculable : true,
series: [
{name: 'GDP', type: 'bar'},
{name: '金融', type: 'bar'},
{name: '房地产', type: 'bar'},
{name: '第一产业', type: 'bar'},
{name: '第二产业', type: 'bar'},
{name: '第三产业', type: 'bar'},
{name: 'GDP占比', type: 'pie'}
]
},
media: [
{
option: {
legend: {
orient: 'horizontal',
left: 'right',
itemGap: 10
},
grid: {
left: '10%',
top: 80,
right: 90,
bottom: 100
},
xAxis: {
nameLocation: 'end',
nameGap: 10,
splitNumber: 5,
splitLine: {
show: true
}
},
timeline: {
orient: 'horizontal',
inverse: false,
left: '20%',
right: '20%',
bottom: 10,
height: 40
},
series: [
{name: 'GDP占比', center: ['75%', '30%'], radius: '28%'}
]
}
},
{
query: {maxWidth: 670, minWidth: 550},
option: {
legend: {
orient: 'horizontal',
left: 200,
itemGap: 5
},
grid: {
left: '10%',
top: 80,
right: 90,
bottom: 100
},
xAxis: {
nameLocation: 'end',
nameGap: 10,
splitNumber: 5,
splitLine: {
show: true
}
},
timeline: {
orient: 'horizontal',
inverse: false,
left: '20%',
right: '20%',
bottom: 10,
height: 40
},
series: [
{name: 'GDP占比', center: ['75%', '30%'], radius: '28%'}
]
}
},
{
query: {maxWidth: 550},
option: {
legend: {
orient: 'vertical',
left: 'right',
itemGap: 5
},
grid: {
left: 55,
top: '32%',
right: 100,
bottom: 50
},
xAxis: {
nameLocation: 'middle',
nameGap: 25,
splitNumber: 3
},
timeline: {
orient: 'vertical',
inverse: true,
right: 10,
top: 150,
bottom: 10,
width: 55
},
series: [
{name: 'GDP占比', center: ['45%', '20%'], radius: '28%'}
]
}
}
],
options: [
{
title: {text: '2002全国宏观经济指标'},
series: [
{data: dataMap.dataGDP['2002']},
{data: dataMap.dataFinancial['2002']},
{data: dataMap.dataEstate['2002']},
{data: dataMap.dataPI['2002']},
{data: dataMap.dataSI['2002']},
{data: dataMap.dataTI['2002']},
{data: [
{name: '第一产业', value: dataMap.dataPI['2002sum']},
{name: '第二产业', value: dataMap.dataSI['2002sum']},
{name: '第三产业', value: dataMap.dataTI['2002sum']}
]}
]
},
{
title : {text: '2003全国宏观经济指标'},
series : [
{data: dataMap.dataGDP['2003']},
{data: dataMap.dataFinancial['2003']},
{data: dataMap.dataEstate['2003']},
{data: dataMap.dataPI['2003']},
{data: dataMap.dataSI['2003']},
{data: dataMap.dataTI['2003']},
{data: [
{name: '第一产业', value: dataMap.dataPI['2003sum']},
{name: '第二产业', value: dataMap.dataSI['2003sum']},
{name: '第三产业', value: dataMap.dataTI['2003sum']}
]}
]
},
{
title : {text: '2004全国宏观经济指标'},
series : [
{data: dataMap.dataGDP['2004']},
{data: dataMap.dataFinancial['2004']},
{data: dataMap.dataEstate['2004']},
{data: dataMap.dataPI['2004']},
{data: dataMap.dataSI['2004']},
{data: dataMap.dataTI['2004']},
{data: [
{name: '第一产业', value: dataMap.dataPI['2004sum']},
{name: '第二产业', value: dataMap.dataSI['2004sum']},
{name: '第三产业', value: dataMap.dataTI['2004sum']}
]}
]
},
{
title : {text: '2005全国宏观经济指标'},
series : [
{data: dataMap.dataGDP['2005']},
{data: dataMap.dataFinancial['2005']},
{data: dataMap.dataEstate['2005']},
{data: dataMap.dataPI['2005']},
{data: dataMap.dataSI['2005']},
{data: dataMap.dataTI['2005']},
{data: [
{name: '第一产业', value: dataMap.dataPI['2005sum']},
{name: '第二产业', value: dataMap.dataSI['2005sum']},
{name: '第三产业', value: dataMap.dataTI['2005sum']}
]}
]
},
{
title : {text: '2006全国宏观经济指标'},
series : [
{data: dataMap.dataGDP['2006']},
{data: dataMap.dataFinancial['2006']},
{data: dataMap.dataEstate['2006']},
{data: dataMap.dataPI['2006']},
{data: dataMap.dataSI['2006']},
{data: dataMap.dataTI['2006']},
{data: [
{name: '第一产业', value: dataMap.dataPI['2006sum']},
{name: '第二产业', value: dataMap.dataSI['2006sum']},
{name: '第三产业', value: dataMap.dataTI['2006sum']}
]}
]
},
{
title : {text: '2007全国宏观经济指标'},
series : [
{data: dataMap.dataGDP['2007']},
{data: dataMap.dataFinancial['2007']},
{data: dataMap.dataEstate['2007']},
{data: dataMap.dataPI['2007']},
{data: dataMap.dataSI['2007']},
{data: dataMap.dataTI['2007']},
{data: [
{name: '第一产业', value: dataMap.dataPI['2007sum']},
{name: '第二产业', value: dataMap.dataSI['2007sum']},
{name: '第三产业', value: dataMap.dataTI['2007sum']}
]}
]
},
{
title : {text: '2008全国宏观经济指标'},
series : [
{data: dataMap.dataGDP['2008']},
{data: dataMap.dataFinancial['2008']},
{data: dataMap.dataEstate['2008']},
{data: dataMap.dataPI['2008']},
{data: dataMap.dataSI['2008']},
{data: dataMap.dataTI['2008']},
{data: [
{name: '第一产业', value: dataMap.dataPI['2008sum']},
{name: '第二产业', value: dataMap.dataSI['2008sum']},
{name: '第三产业', value: dataMap.dataTI['2008sum']}
]}
]
},
{
title : {text: '2009全国宏观经济指标'},
series : [
{data: dataMap.dataGDP['2009']},
{data: dataMap.dataFinancial['2009']},
{data: dataMap.dataEstate['2009']},
{data: dataMap.dataPI['2009']},
{data: dataMap.dataSI['2009']},
{data: dataMap.dataTI['2009'

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