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| function option1 (curSelected) {
| var option = {
| color: ['#87cefa','#ff7f50','#da70d6','#32cd32','#6495ed',
| '#ff69b4','#ba55d3','#cd5c5c','#ffa500','#40e0d0',
| '#1e90ff','#ff6347','#7b68ee','#00fa9a','#ffd700',
| '#6699FF','#ff6666','#3cb371','#b8860b','#30e0e0'],
| title : {
| subtext: '数据来自国家统计局'
| },
| tooltip : {
| trigger: 'axis'
| },
| legend: {
| data : ['GDP','金融','房地产','第一产业','第二产业','第三产业'],
| selected : curSelected
| },
| toolbox: {
| show : true,
| feature : {
| mark : {show: true},
| dataView : {show: true, readOnly: false},
| magicType : {show: true, type: ['line', 'bar', 'stack', 'tiled']},
| restore : {show: true},
| saveAsImage : {show: true}
| }
| },
| calculable : true,
| grid : {
| y : 80,
| y2 : 100,
| },
| xAxis : [
| {
| type : 'category',
| axisLabel: {
| interval: 0
| },
| data : [
| '北京','\n天津','河北','\n山西','内蒙古','\n辽宁',
| '吉林','\n黑龙江','上海','\n江苏','浙江','\n安徽',
| '福建','\n江西','山东','\n河南','湖北','\n湖南',
| '广东','\n广西','海南','\n重庆','四川','\n贵州',
| '云南','\n西藏','陕西','\n甘肃','青海','\n宁夏','新疆'
| ]
| }
| ],
| yAxis : [
| {
| type : 'value',
| name : 'GDP（亿元）',
| max: 53500,
| splitArea : {show : true}
| },
| {
| type : 'value',
| name : '其他（亿元）',
| splitArea : {show : true}
| }
| ],
| series : [
| {
| name:'GDP',
| _name: 'GDP',
| type:'bar',
| markLine: {
| symbol : ['arrow','none'],symbolSize : [4, 2],itemStyle : {normal: {
| lineStyle: {color:'orange'},
| borderColor:'orange',
| label:{position:'left',formatter:function(params){return Math.round(params.value)},
| textStyle:{color:"orange"}
| }}},
| data : [
| {type : 'average', name : '平均值'}
| ]
| }
| },
| {
| name:'金融',
| _name: 'Financial',
| yAxisIndex: 1,
| type:'bar'
| },
| {
| name:'房地产',
| _name: 'Estate',
| yAxisIndex: 1,
| type:'bar'
| },
| {
| name:'第一产业',
| _name: 'PI',
| yAxisIndex: 1,
| type:'bar'
| },
| {
| name:'第二产业',
| _name: 'SI',
| yAxisIndex: 1,
| type:'bar'
| },
| {
| name:'第三产业',
| _name: 'TI',
| yAxisIndex: 1,
| type:'bar'
| }
| ]
| };
|
| var timelineOption = {
| timeline : {
| data : (function(){
| var a = [];
| for (var i = 2002; i <= 2011; i++) {
| a.push(i + '-01-01');
| }
| return a;
| })(),
| label : {
| formatter : function(s) {
| return s.slice(0, 4);
| }
| },
| playInterval : 1000
| },
| options : []
| };
|
| var curYear = 2002;
| option.title.text = curYear + '全国宏观经济指标'
| for (var i = 0, l = option.series.length; i < l; i++) {
| option.series[i].data = dataMap['data' + option.series[i]._name][curYear]
| }
| timelineOption.options.push(option);
|
| for (curYear = 2003; curYear <= 2011; curYear++) {
| var newSeries = [
| {
| name:'GDP',
| _name: 'GDP'
| },
| {
| name:'金融',
| _name: 'Financial',
| yAxisIndex: 1
| },
| {
| name:'房地产',
| _name: 'Estate',
| yAxisIndex: 1
| },
| {
| name:'第一产业',
| _name: 'PI',
| yAxisIndex: 1
| },
| {
| name:'第二产业',
| _name: 'SI',
| yAxisIndex: 1
| },
| {
| name:'第三产业',
| _name: 'TI',
| yAxisIndex: 1
| }
| ];
|
| for (var i = 0, l = newSeries.length; i < l; i++) {
| newSeries[i].data = dataMap['data' + newSeries[i]._name][curYear]
| }
| timelineOption.options.push({
| title : {
| text : curYear + '全国宏观经济指标'
| },
| series : newSeries
| })
| }
| return timelineOption;
| }
|
|
