Highcharts - 堆叠区域图
以下实例演示了堆叠区域图。
我们在前面的章节已经了解了 Highcharts 基本配置语法。 接下来让我们来看下其他的配置。在 plotOptions 中添加 stacking 属性:
plotOptions 配置
plotOptions用于设置图表中的数据点相关属性。plotOptions根据各种图表类型，其属性设置略微有些差异。
配置图表堆叠设置 plotOptions.area.stacking 为 "normal"。如果禁用堆叠使用 null。 如果值为 "percent" 堆叠则按百分比。
var plotOptions = {
area: {
stacking: 'normal',
lineColor: '#666666',
lineWidth: 1,
marker: {
lineWidth: 1,
lineColor: '#666666'
}
}
};
示例
文件名:highcharts_area_stacked.htm
<html>
<head>
<title>Highcharts 教程</title>
<script src = "https://apps.bdimg.com/libs/jquery/2.1.4/jquery.min.js"></script>
<script src = "https://code.highcharts.com/highcharts.js"></script>
</head>
<body>
<div id = "container" style = "width: 550px; height: 400px; margin: 0 auto"></div>
<script language = "JavaScript">
$(document).ready(function() {
var chart = {
type: 'area'
};
var title = {
text: 'Historic and Estimated Worldwide Population Growth by Region'
};
var subtitle = {
text: 'Source: Wikipedia.org'
};
var xAxis = {
categories: ['1750', '1800', '1850', '1900', '1950', '1999', '2050'],
tickmarkPlacement: 'on',
title: {
enabled: false
}
};
var yAxis = {
title: {
text: 'Billions'
},
labels: {
formatter: function () {
return this.value / 1000;
}
}
};
var tooltip = {
shared: true,
valueSuffix: ' millions'
};
var plotOptions = {
area: {
stacking: 'normal',
lineColor: '#666666',
lineWidth: 1,
marker: {
lineWidth: 1,
lineColor: '#666666'
}
}
};
var credits = {
enabled: false
};
var series = [
{
name: 'Asia',
data: [502, 635, 809, 947, 1402, 3634, 5268]
},
{
name: 'Africa',
data: [106, 107, 111, 133, 221, 767, 1766]
},
{
name: 'Europe',
data: [163, 203, 276, 408, 547, 729, 628]
},
{
name: 'America',
data: [18, 31, 54, 156, 339, 818, 1201]
},
{
name: 'Oceania',
data: [2, 2, 2, 6, 13, 30, 46]
}
];
var json = {};
json.chart = chart;
json.title = title;
json.subtitle = subtitle;
json.xAxis = xAxis;
json.yAxis = yAxis;
json.tooltip = tooltip;
json.plotOptions = plotOptions;
json.credits = credits;
json.series = series;
$('#container').highcharts(json);
});
</script>
</body>
</html>
以上图表实例的输出结果
