Huistograms using the Gral library
Code: "gral_HistogramPlot.java". Programming language: Java DMelt Version 1.7. Last modified: 02/27/1971. License: Pro
https://datamelt.org/code/cache/gral_HistogramPlot_6651.java
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/*
 * GRAL: GRAphing Library for Java(R)
 *
 * (C) Copyright 2009-2016 Erich Seifert ,
 * Michael Seifert 
 *
 * This file is part of GRAL.
 *
 * GRAL is free software: you can redistribute it and/or modify
 * it under the terms of the GNU Lesser General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * GRAL is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU Lesser General Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public License
 * along with GRAL.  If not, see .
 */
import java.util.Random;

import de.erichseifert.gral.data.DataSource;
import de.erichseifert.gral.data.DataTable;
import de.erichseifert.gral.data.EnumeratedData;
import de.erichseifert.gral.data.statistics.Histogram2D;
import de.erichseifert.gral.data.statistics.Statistics;
import de.erichseifert.gral.examples.ExamplePanel;
import de.erichseifert.gral.plots.BarPlot;
import de.erichseifert.gral.plots.points.PointRenderer;
import de.erichseifert.gral.ui.InteractivePanel;
import de.erichseifert.gral.util.GraphicsUtils;
import de.erichseifert.gral.graphics.Insets2D;
import de.erichseifert.gral.util.MathUtils;
import de.erichseifert.gral.graphics.Orientation;


public class gral_HistogramPlot extends ExamplePanel {
	/** Version id for serialization. */
	private static final long serialVersionUID = 4458280577519421950L;

	private static final int SAMPLE_COUNT = 1000;

	@SuppressWarnings("unchecked")
	public gral_HistogramPlot() {
		// Create example data
		Random random = new Random();
		DataTable data = new DataTable(Double.class);
		for (int i = 0; i < SAMPLE_COUNT; i++) {
			data.add(random.nextGaussian());
		}

		// Create histogram from data
		Histogram2D histogram = new Histogram2D(data, Orientation.VERTICAL,
				new Number[] {-4.0, -3.2, -2.4, -1.6, -0.8, 0.0, 0.8, 1.6, 2.4, 3.6, 4.0});
		// Create a second dimension (x axis) for plotting
		DataSource histogram2d = new EnumeratedData(histogram, (-4.0 + -3.2)/2.0, 0.8);

		// Create new bar plot
		BarPlot plot = new BarPlot(histogram2d);

		// Format plot
		plot.setInsets(new Insets2D.Double(20.0, 65.0, 50.0, 40.0));
		plot.getTitle().setText(
				String.format("Distribution of %d random samples", data.getRowCount()));
		plot.setBarWidth(0.78);

		// Format x axis
		plot.getAxisRenderer(BarPlot.AXIS_X).setTickAlignment(0.0);
		plot.getAxisRenderer(BarPlot.AXIS_X).setTickSpacing(0.8);
		plot.getAxisRenderer(BarPlot.AXIS_X).setMinorTicksVisible(false);
		// Format y axis
		plot.getAxis(BarPlot.AXIS_Y).setRange(0.0,
				MathUtils.ceil(histogram.getStatistics().get(Statistics.MAX)*1.1, 25.0));
		plot.getAxisRenderer(BarPlot.AXIS_Y).setTickAlignment(0.0);
		plot.getAxisRenderer(BarPlot.AXIS_Y).setMinorTicksVisible(false);
		plot.getAxisRenderer(BarPlot.AXIS_Y).setIntersection(-4.4);

		// Format bars
		PointRenderer barRenderer = plot.getPointRenderers(histogram2d).get(0);
		barRenderer.setColor(GraphicsUtils.deriveWithAlpha(COLOR1, 128));
		barRenderer.setValueVisible(true);

		// Add plot to Swing component
		InteractivePanel panel = new InteractivePanel(plot);
		panel.setPannable(false);
		panel.setZoomable(false);
		add(panel);
	}

	@Override
	public String getTitle() {
		return "AbstractHistogram2D plot";
	}

	@Override
	public String getDescription() {
		return String.format("AbstractHistogram2D of %d samples", SAMPLE_COUNT);
	}

	public static void main(String[] args) {
		new gral_HistogramPlot().showInFrame();
	}
}

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