/**
* Copyright 2011 - 2014 Xeiam LLC.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.xeiam.xchart.demo.charts.bar;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
import com.xeiam.xchart.Chart;
import com.xeiam.xchart.ChartBuilder;
import com.xeiam.xchart.Histogram;
import com.xeiam.xchart.StyleManager.ChartType;
import com.xeiam.xchart.StyleManager.LegendPosition;
import com.xeiam.xchart.SwingWrapper;
import com.xeiam.xchart.demo.charts.ExampleChart;
/**
* Histogram Overlapped
* <p>
* Demonstrates the following:
* <ul>
* <li>Histogram
* <li>Bar Chart styles - overlapped, bar width
*/
public class BarChart06 implements ExampleChart {
public static void main(String[] args) {
ExampleChart exampleChart = new BarChart06();
Chart chart = exampleChart.getChart();
new SwingWrapper(chart).displayChart();
}
@Override
public Chart getChart() {
// Create Chart
Chart chart = new ChartBuilder().chartType(ChartType.Bar).width(800).height(600).title("Score Histogram").xAxisTitle("Mean").yAxisTitle("Count").build();
Histogram histogram1 = new Histogram(getGaussianData(10000), 30, -30, 30);
Histogram histogram2 = new Histogram(getGaussianData(5000), 30, -30, 30);
chart.addSeries("histogram 1", histogram1.getxAxisData(), histogram1.getyAxisData());
chart.addSeries("histogram 2", histogram2.getxAxisData(), histogram2.getyAxisData());
// Customize Chart
chart.getStyleManager().setLegendPosition(LegendPosition.InsideNW);
chart.getStyleManager().setBarWidthPercentage(.96);
chart.getStyleManager().setBarsOverlapped(true);
return chart;
}
private List<Double> getGaussianData(int count) {
List<Double> data = new ArrayList<Double>(count);
Random r = new Random();
for (int i = 0; i < count; i++) {
data.add(r.nextGaussian() * 10);
// data.add(r.nextDouble() * 60 - 30);
}
return data;
}
}