/** * Copyright 2015-2017 Knowm Inc. (http://knowm.org) and contributors. * Copyright 2011-2015 Xeiam LLC (http://xeiam.com) and contributors. * * 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 org.knowm.xchart.demo.charts.bar; import java.util.ArrayList; import java.util.List; import java.util.Random; import org.knowm.xchart.CategoryChart; import org.knowm.xchart.CategoryChartBuilder; import org.knowm.xchart.Histogram; import org.knowm.xchart.SwingWrapper; import org.knowm.xchart.demo.charts.ExampleChart; import org.knowm.xchart.style.Styler.ChartTheme; import org.knowm.xchart.style.Styler.LegendPosition; /** * Histogram with Error Bars * <p> * Demonstrates the following: * <ul> * <li>Histogram * <li>Bar Chart with error bars */ public class BarChart08 implements ExampleChart<CategoryChart> { public static void main(String[] args) { ExampleChart<CategoryChart> exampleChart = new BarChart08(); CategoryChart chart = exampleChart.getChart(); new SwingWrapper<CategoryChart>(chart).displayChart(); } @Override public CategoryChart getChart() { // Create Chart CategoryChart chart = new CategoryChartBuilder().width(800).height(600).title("Histogram").xAxisTitle("Mean").theme(ChartTheme.Matlab).yAxisTitle("Count").build(); // Customize Chart chart.getStyler().setLegendPosition(LegendPosition.InsideNW); chart.getStyler().setAvailableSpaceFill(.96); // Series Histogram histogram1 = new Histogram(getGaussianData(10000), 10, -10, 10); chart.addSeries("histogram", histogram1.getxAxisData(), histogram1.getyAxisData(), getFakeErrorData(histogram1.getxAxisData().size())); 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() * 5); // data.add(r.nextDouble() * 60 - 30); } return data; } private List<Double> getFakeErrorData(int count) { List<Double> data = new ArrayList<Double>(count); Random r = new Random(); for (int i = 0; i < count; i++) { data.add(r.nextDouble() * 200); } return data; } }