我在这里找到了使用分组类别高图的示例:
$(function () {
var chart = new Highcharts.Chart({
chart: {
renderTo: "container",
type: "column",
borderWidth: 5,
borderColor: '#e8eaeb',
borderRadius: 0,
backgroundColor: '#f7f7f7'
},
title: {
style: {
'fontSize': '1em'
},
useHTML: true,
x: -27,
y: 8,
text: '<span class="chart-title"> Grouped categories <span class="chart-href"> <a href="http://www.blacklabel.pl/highcharts" target="_blank"> Black Label </a> </span> <span class="chart-subtitle">plugin by </span></span>'
},
series: [{
data: [4, 14, 18, 5, 6, 5, 14, 15, 18]
}],
xAxis: {
categories: [{
name: "Fruit",
categories: ["Apple", "Banana", "Orange"]
}, {
name: "Vegetable",
categories: ["Carrot", "Potato", "Tomato"]
}, {
name: "Fish",
categories: ["Cod", "Salmon", "Tuna"]
}]
}
});
});
以及按类别列出多列的示例:
$(function () {
$('#container').highcharts({
chart: {
type: 'column'
},
title: {
text: 'Monthly Average Rainfall'
},
subtitle: {
text: 'Source: WorldClimate.com'
},
xAxis: {
categories: [
'Jan',
'Feb',
'Mar',
'Apr',
'May',
'Jun',
'Jul',
'Aug',
'Sep',
'Oct',
'Nov',
'Dec'
],
crosshair: true
},
yAxis: {
min: 0,
title: {
text: 'Rainfall (mm)'
}
},
tooltip: {
headerFormat: '<span style="font-size:10px">{point.key}</span><table>',
pointFormat: '<tr><td style="color:{series.color};padding:0">{series.name}: </td>' +
'<td style="padding:0"><b>{point.y:.1f} mm</b></td></tr>',
footerFormat: '</table>',
shared: true,
useHTML: true
},
plotOptions: {
column: {
pointPadding: 0.2,
borderWidth: 0
}
},
series: [{
name: 'Tokyo',
data: [49.9, 71.5, 106.4, 129.2, 144.0, 176.0, 135.6, 148.5, 216.4, 194.1, 95.6, 54.4]
}, {
name: 'New York',
data: [83.6, 78.8, 98.5, 93.4, 106.0, 84.5, 105.0, 104.3, 91.2, 83.5, 106.6, 92.3]
}, {
name: 'London',
data: [48.9, 38.8, 39.3, 41.4, 47.0, 48.3, 59.0, 59.6, 52.4, 65.2, 59.3, 51.2]
}, {
name: 'Berlin',
data: [42.4, 33.2, 34.5, 39.7, 52.6, 75.5, 57.4, 60.4, 47.6, 39.1, 46.8, 51.1]
}]
});
});
现在我的问题是:如何结合两张图表?我希望每个类别都有多个列,如demo 2
答案 0 :(得分:1)
在系列对象中添加多个系列,就像在第二个演示中一样。
series: [{
data: [4, 14, 18, 5, 6, 5, 14, 15, 18]
},{
data: [4, 14, 18, 5, 6, 5, 14, 15, 18]
},{
data: [4, 14, 18, 5, 6, 5, 14, 15, 18]
},{
data: [4, 14, 18, 5, 6, 5, 14, 15, 18]
}],