ECharts · Example

var zrColor = require('zrender/tool/color');
var zrColor = require('zrender/tool/color');
var colorList = [
  '#ff7f50','#87cefa','#da70d6','#32cd32','#6495ed',
  '#ff69b4','#ba55d3','#cd5c5c','#ffa500','#40e0d0'
];
var itemStyle = {
    normal: {
        color: function(params) {
          if (params.dataIndex < 0) {
            // for legend
            return zrColor.lift(
              colorList[colorList.length - 1], params.seriesIndex * 0.1
            );
          }
          else {
            // for bar
            return zrColor.lift(
              colorList[params.dataIndex], params.seriesIndex * 0.1
            );
          }
        }
    }
};
option = {
    title: {
        text: '2010-2013年中国城镇居民家庭人均消费构成（元）',
        subtext: '数据来自国家统计局',
        sublink: 'http://data.stats.gov.cn/search/keywordlist2?keyword=%E5%9F%8E%E9%95%87%E5%B1%85%E6%B0%91%E6%B6%88%E8%B4%B9'
    },
    tooltip: {
        trigger: 'axis',
        backgroundColor: 'rgba(255,255,255,0.7)',
        axisPointer: {
            type: 'shadow'
        },
        formatter: function(params) {
            // for text color
            var color = colorList[params[0].dataIndex];
            var res = '<div style="color:' + color + '">';
            res += '<strong>' + params[0].name + '消费（元）</strong>'
            for (var i = 0, l = params.length; i < l; i++) {
                res += '<br/>' + params[i].seriesName + ' : ' + params[i].value 
            }
            res += '</div>';
            return res;
        }
    },
    legend: {
        x: 'right',
        data:['2010','2011','2012','2013']
    },
    toolbox: {
        show: true,
        orient: 'vertical',
        y: 'center',
        feature: {
            mark: {show: true},
            dataView: {show: true, readOnly: false},
            restore: {show: true},
            saveAsImage: {show: true}
        }
    },
    calculable: true,
    grid: {
        y: 80,
        y2: 40,
        x2: 40
    },
    xAxis: [
        {
            type: 'category',
            data: ['食品', '衣着', '居住', '家庭设备及用品', '医疗保健', '交通和通信', '文教娱乐服务', '其他']
        }
    ],
    yAxis: [
        {
            type: 'value'
        }
    ],
    series: [
        {
            name: '2010',
            type: 'bar',
            itemStyle: itemStyle,
            data: [4804.7,1444.3,1332.1,908,871.8,1983.7,1627.6,499.2]
        },
        {
            name: '2011',
            type: 'bar',
            itemStyle: itemStyle,
            data: [5506.3,1674.7,1405,1023.2,969,2149.7,1851.7,581.3]
        },
        {
            name: '2012',
            type: 'bar',
            itemStyle: itemStyle,
            data: [6040.9,1823.4,1484.3,1116.1,1063.7,2455.5,2033.5,657.1]
        },
        {
            name: '2013',
            type: 'bar',
            itemStyle: itemStyle,
            data: [6311.9,1902,1745.1,1215.1,1118.3,2736.9,2294,699.4]
        }
    ]
};
                    
 
 
 
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