var dataMap = {};
function dataFormatter(obj) {
var pList = ['北京', '天津', '河北'];
var temp;
for (var year = 2002; year <= 2004; year++) {
var max = 0;
var sum = 0;
temp = obj[year];
for (var i = 0, l = temp.length; i < l; i++) {
max = Math.max(max, temp[i]);
sum += temp[i];
obj[year][i] = {
name: pList[i],
value: temp[i],
};
}
}
console.log(obj);
return obj;
}
dataMap.dataGDP = dataFormatter({
//max : 60000,
2004: [6033.21, 3110.97, 8477.63],
2003: [5007.21, 2578.03, 6921.29],
2002: [4315, 2150.76, 6018.28],
});
console.log('dataMap.dataGDP', JSON.stringify(dataMap.dataGDP))
// dataGDP2222 = {
// 2002: [
// { name: '北京', value: 4315 },
// { name: '天津', value: 2150.76 },
// { name: '河北', value: 6018.28 },
// ],
// 2003: [
// { name: '北京', value: 5007.21 },
// { name: '天津', value: 2578.03 },
// { name: '河北', value: 6921.29 },
// ],
// 2004: [
// { name: '北京', value: 6033.21 },
// { name: '天津', value: 3110.97 },
// { name: '河北', value: 8477.63 },
// ],
// };
dataMap.dataPI = dataFormatter({
//max : 4000,
2004: [87.36, 105.28, 1370.43],
2003: [84.11, 89.91, 1064.05],
2002: [82.44, 84.21, 956.84],
});
dataMap.dataSI = dataFormatter({
//max : 26600,
2004: [1853.58, 1685.93, 4301.73],
2003: [1487.15, 1337.31, 3417.56],
2002: [1249.99, 1069.08, 2911.69],
});
dataMap.dataTI = dataFormatter({
//max : 25000,
2004: [4092.27, 1319.76, 2805.47],
2003: [3435.95, 1150.81, 2439.68],
2002: [2982.57, 997.47, 2149.75],
});
dataMap.dataEstate = dataFormatter({
//max : 3600,
2004: [436.11, 106.14, 231.08],
2003: [341.88, 92.31, 185.19],
2002: [298.02, 73.04, 140.89],
});
dataMap.dataFinancial = dataFormatter({
//max : 3200,
2004: [713.79, 136.97, 209.1],
2003: [635.56, 112.79, 199.87],
2002: [561.91, 76.86, 179.6],
});
option = {
baseOption: {
timeline: {
axisType: 'category',
symbol: 'none',
controlStyle: false,
autoPlay: false,
lineStyle: false,
data: [
'客户名称',
'项目类型',
'项目经理',
'年份',
],
label: {
// formatter: function(s) {
// return s
// },
},
checkpointStyle: {
symbol: 'none'
}
},
title: {
subtext: '数据来自国家统计局',
},
tooltip: {},
legend: {
left: 'right',
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,
grid: {
top: 80,
bottom: 100,
tooltip: {
trigger: 'axis',
axisPointer: {
type: 'shadow',
label: {
show: true,
formatter: function(params) {
return params.value.replace('\n', '');
},
},
},
},
},
xAxis: [{
type: 'category',
axisLabel: {
interval: 0
},
data: [
'北京',
'天津',
'河北',
],
splitLine: {
show: false
},
}, ],
yAxis: [{
type: 'value',
name: '个',
}, ],
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'
},
],
},
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']
},
],
},
{
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']
},
],
},
{
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']
},
],
},
],
};
console.log(option);