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:
配置
plotOptions:数据点选项
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' } }};
实例
文件名:highcharts_area_stacked.htm
<html><head><meta charset="UTF-8" /><title>Highcharts 教程(zhishitu.com)</title><script src="/images/2021/07/13/06/2021071306555917902761.js"></script><script src="/images/2021/07/13/06/2021071306555918826582.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>
以上实例输出结果为: