/** * 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.standalone.readme; import java.util.LinkedList; import java.util.List; import java.util.Random; import org.knowm.xchart.SwingWrapper; import org.knowm.xchart.XYChart; import org.knowm.xchart.XYChartBuilder; import org.knowm.xchart.XYSeries; import org.knowm.xchart.XYSeries.XYSeriesRenderStyle; import org.knowm.xchart.style.Styler.LegendPosition; import org.knowm.xchart.style.markers.SeriesMarkers; /** * @author timmolter */ public class IntermediateExample { static final Random random = new Random(); public static void main(String[] args) { // Create Chart XYChart chart = new XYChartBuilder().width(600).height(500).title("Gaussian Blobs").xAxisTitle("X").yAxisTitle("Y").build(); // Customize Chart chart.getStyler().setDefaultSeriesRenderStyle(XYSeriesRenderStyle.Scatter); chart.getStyler().setChartTitleVisible(false); chart.getStyler().setLegendPosition(LegendPosition.InsideSW); chart.getStyler().setMarkerSize(16); // Series chart.addSeries("Gaussian Blob 1", getGaussian(1000, 1, 10), getGaussian(1000, 1, 10)); XYSeries series = chart.addSeries("Gaussian Blob 2", getGaussian(1000, 1, 10), getGaussian(1000, 0, 5)); series.setMarker(SeriesMarkers.DIAMOND); new SwingWrapper(chart).displayChart(); } private static List<Double> getGaussian(int number, double mean, double std) { List<Double> seriesData = new LinkedList<Double>(); for (int i = 0; i < number; i++) { seriesData.add(mean + std * random.nextGaussian()); } return seriesData; } }