栅格背景皮肤

调试运行
<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>图形展示</title>
</head>
<body>
 
<div class="detail-section">
    <div id="canvas">
 
    </div>
</div>
 
<script src="http://g.tbcdn.cn/bui/acharts/1.0.32/acharts-min.js"></script>
<!-- https://g.alicdn.com/bui/acharts/1.0.29/acharts-min.js -->
 
 
<script type="text/javascript">
    var Theme = AChart.Theme;
 
    //扩展一个皮肤  使用Theme.initTheme方法扩展Theme.Base
    //base里面已经有y坐标轴栅格，只需添加x轴栅格
    Theme.grid = Theme.initTheme(Theme.Base,{
        xAxis : {
            grid : {
                line : {
                    stroke : '#ddd'
                }
            }
        },
        yAxis: {
            grid: {
                line : {
                    stroke : '#ddd'
                },
                minorCount: 4,//次要线个数
                minorLine:{
                    stroke : '#eee'//次要线配置
                }
            }
        }
    });
 
    var chart = new AChart({
        id : 'canvas',
        width : 950,
        height : 500,
        theme: AChart.Theme.grid,//引用了新定义的皮肤
        plotCfg : {
            margin : [50,50,80] //画板的边距
        },
        title : {
            text : '一年的平均温度'
 
        },
        subTitle : {
            text : 'Source: WorldClimate.com'
        },
        xAxis : {
            categories : ['一月','二月','三月','四月','五月','六月','七月','八月','九月','十月','十一月','十二月']
        },
        yAxis : {
            title : {
                text : '温度',
                rotate : -90
            }
        },
        tooltip : {
            valueSuffix : '°C',
            shared : true, //是否多个数据序列共同显示信息
            crosshairs : true //是否出现基准线
        },
        series : [{
            name: 'Tokyo',
            data: [7.0, 6.9, 9.5, 14.5, 18.2, 21.5, 25.2, 26.5, 23.3, 18.3, 13.9, 9.6]
        }, {
            name: 'New York',
            data: [-0.2, 0.8, 5.7, 11.3, 17.0, 22.0, 24.8, 24.1, 20.1, 14.1, 8.6, 2.5]
        }, {
            name: 'Berlin',
            data: [-0.9, 0.6, 3.5, 8.4, 13.5, 17.0, 18.6, 17.9, 14.3, 9.0, 3.9, 1.0]
        }, {
            name: 'London',
            data: [3.9, 4.2, 5.7, 8.5, 11.9, 15.2, 17.0, 16.6, 14.2, 10.3, 6.6, 4.8]
        }, {
            name: 'Beijing',
            data: [13.9, 14.2, 15.7, 18.5, 21.9, 25.2, 27.0, 26.6, 24.2, 20.3, 16.6, 14.8]
        }, {
            name: 'Sahnghai',
            data: [17.0, 16.9, 19.5, 24.5, 28.2, 31.5, 35.2, 36.5, 33.3, 28.3, 23.9, 19.6]
        }]
    });
 
    chart.render();
 
</script>
 
</body>
</html>