GWT Highcharts - 百分比面积图

以下是堆叠面积图的示例。

我们已经在Highcharts 配置语法一章中看到了用于绘制图表的配置。现在，让我们看一个堆叠面积图的示例。

plotOptions

plotOptions 是每个系列类型的配置对象的包装器对象。可以覆盖系列数组中给出的每个系列项目的配置对象。这是将每个系列的值堆叠在一起。

使用 plotOptions.area.stacking 将图表的堆叠配置为"正常"。可能的值是 null(禁用堆叠)、"normal"按值堆叠和"percent"按百分比堆叠图表。

chart.setAreaPlotOptions(new AreaPlotOptions()  
   .setStacking(Stacking.PERCENT)  
   .setLineColor("#666666")  
   .setLineWidth(1)  
   .setMarker(new Marker()  
      .setLineWidth(1)  
      .setLineColor("#666666")  
   )  
);

示例

HelloWorld.java

package com.tutorialspoint.client;

import org.moxieapps.gwt.highcharts.client.Chart;
import org.moxieapps.gwt.highcharts.client.Series.Type;
import org.moxieapps.gwt.highcharts.client.ToolTip;
import org.moxieapps.gwt.highcharts.client.ToolTipData;
import org.moxieapps.gwt.highcharts.client.ToolTipFormatter;
import org.moxieapps.gwt.highcharts.client.XAxis;
import org.moxieapps.gwt.highcharts.client.YAxis;

import org.moxieapps.gwt.highcharts.client.labels.AxisLabelsData;
import org.moxieapps.gwt.highcharts.client.labels.AxisLabelsFormatter;
import org.moxieapps.gwt.highcharts.client.labels.YAxisLabels;

import org.moxieapps.gwt.highcharts.client.plotOptions.AreaPlotOptions;
import org.moxieapps.gwt.highcharts.client.plotOptions.Marker;
import org.moxieapps.gwt.highcharts.client.plotOptions.PlotOptions.Stacking;

import com.google.gwt.core.client.EntryPoint;
import com.google.gwt.i18n.client.NumberFormat;
import com.google.gwt.user.client.ui.RootPanel;

public class HelloWorld implements EntryPoint {
   public void onModuleLoad() {
      Chart chart = new Chart()
         .setType(Type.AREA)
         .setChartTitleText("Historic and Estimated Worldwide Population Growth by Region")
         .setChartSubtitleText("Source: Wikipedia.org")
         .setAreaPlotOptions(new AreaPlotOptions()  
            .setStacking(Stacking.PERCENT)  
            .setLineColor("#666666")  
            .setLineWidth(1)  
            .setMarker(new Marker()  
               .setLineWidth(1)  
               .setLineColor("#666666")  
            )  
         )
         .setToolTip(new ToolTip()
         .setFormatter(new ToolTipFormatter() {							
            @Override
            public String format(ToolTipData toolTipData) {
               return toolTipData.getXAsString() + ": " +  
                  NumberFormat.getFormat("0.0").format(toolTipData.getPercentage()) + "% (" +  
                  NumberFormat.getFormat("#,###").format(toolTipData.getYAsDouble()) + " millions)";
            }
         }));

         XAxis xAxis = chart.getXAxis();
         xAxis.setCategories("1750", "1800", "1850", "1900", "1950", "1999", "2050");
         xAxis.setTickmarkPlacement(XAxis.TickmarkPlacement.ON);  
         xAxis.setAxisTitleText(null);  

         YAxis yAxis = chart.getYAxis();
         yAxis.setAxisTitleText("Billions");
         yAxis.setLabels(new YAxisLabels()
            .setFormatter(new AxisLabelsFormatter() {
               @Override
               public String format(AxisLabelsData axisLabelsData) {
                  return String.valueOf(axisLabelsData.getValueAsLong() / 1000);
               }
            }));

         chart.addSeries(chart.createSeries()  
            .setName("Asia")  
            .setPoints(new Number[] { 502, 635, 809, 947, 1402, 3634, 5268 })  
         );  
         chart.addSeries(chart.createSeries()  
            .setName("Africa")  
            .setPoints(new Number[] { 106, 107, 111, 133, 221, 767, 1766 })  
         );  
         chart.addSeries(chart.createSeries()  
            .setName("Europe")  
            .setPoints(new Number[] { 163, 203, 276, 408, 547, 729, 628 })  
         );  
         chart.addSeries(chart.createSeries()  
            .setName("America")  
            .setPoints(new Number[] { 18, 31, 54, 156, 339, 818, 1201 })  
         );  
         chart.addSeries(chart.createSeries()  
            .setName("Oceania")  
            .setPoints(new Number[] { 2, 2, 2, 6, 13, 30, 46 })  
         );  
      RootPanel.get().add(chart);
   }
}

结果

验证结果。

gwt_highcharts_area_charts.html