/**
* 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;
}
}