Package org.jfree.data.statistics

Examples of org.jfree.data.statistics.HistogramDataset

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     * A test for a bug reported in the forum where the series name isn't being
     * returned correctly.
     */
    public void testGetSeriesKey() {
        double[] values = {1.0, 2.0, 3.0, 4.0, 6.0, 12.0, 5.0, 6.3, 4.5};
        HistogramDataset d1 = new HistogramDataset();
        d1.addSeries("Series 1", values, 5);  
        assertEquals("Series 1", d1.getSeriesKey(0));
    }
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    /**
     * Some checks for the addSeries() method.
     */
    public void testAddSeries() {
        double[] values = {-1.0, 0.0, 0.1, 0.9, 1.0, 1.1, 1.9, 2.0, 3.0};
        HistogramDataset d = new HistogramDataset();
        d.addSeries("S1", values, 2, 0.0, 2.0);
        assertEquals(0.0, d.getStartXValue(0, 0), EPSILON);
        assertEquals(1.0, d.getEndXValue(0, 0), EPSILON);
        assertEquals(4.0, d.getYValue(0, 0), EPSILON);
       
        assertEquals(1.0, d.getStartXValue(0, 1), EPSILON);
        assertEquals(2.0, d.getEndXValue(0, 1), EPSILON);
        assertEquals(5.0, d.getYValue(0, 1), EPSILON);
    }
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    public void testBinBoundaries() {
        double[] values = { -5.000000000000286E-5 };
        int bins = 1260;
        double minimum = -0.06307522528160199;
        double maximum = 0.06297522528160199;
        HistogramDataset d = new HistogramDataset();
        d.addSeries("S1", values, bins, minimum, maximum);
        assertEquals(0.0, d.getYValue(0, 629), EPSILON);
        assertEquals(1.0, d.getYValue(0, 630), EPSILON);
        assertEquals(0.0, d.getYValue(0, 631), EPSILON);
        assertTrue(values[0] > d.getStartXValue(0, 630));
        assertTrue(values[0] < d.getEndXValue(0, 630));       
    }
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     * Some checks for bug 1553088.  An IndexOutOfBoundsException is thrown
     * when a data value is *very* close to the upper limit of the last bin.
     */
    public void test1553088() {
        double[] values = {-1.0, 0.0, -Double.MIN_VALUE, 3.0};
        HistogramDataset d = new HistogramDataset();
        d.addSeries("S1", values, 2, -1.0, 0.0);
        assertEquals(-1.0, d.getStartXValue(0, 0), EPSILON);
        assertEquals(-0.5, d.getEndXValue(0, 0), EPSILON);
        assertEquals(1.0, d.getYValue(0, 0), EPSILON);
       
        assertEquals(-0.5, d.getStartXValue(0, 1), EPSILON);
        assertEquals(0.0, d.getEndXValue(0, 1), EPSILON);
        assertEquals(3.0, d.getYValue(0, 1), EPSILON);
    }   
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    public static JFreeChart buildHistogram(final Number[] numbers, final String dataName, final int divisions) {
        if (numbers == null || numbers.length == 0) {
            return null;
        }

        HistogramDataset dataset = new HistogramDataset();
        dataset.setType(HistogramType.FREQUENCY);
        double[] doubleNumbers = new double[numbers.length];
        for (int i = 0; i < doubleNumbers.length; i++) {
            doubleNumbers[i] = numbers[i].doubleValue();
        }

        dataset.addSeries(dataName, doubleNumbers, divisions > 0 ? divisions : 10);//Use 10 divisions if divisions number is invalid.

        JFreeChart histogram = ChartFactory.createHistogram(
                getMessage("ChartsUtils.report.histogram.title"),
                dataName,
                getMessage("ChartsUtils.report.histogram.yLabel"),
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     * Creates a sample {@link HistogramDataset}.
     *
     * @return the dataset.
     */
    private static IntervalXYDataset createDataset() {
        HistogramDataset dataset = new HistogramDataset("H1");
        double lower = 0.0;
        for (int i = 0; i < 100; i++) {
            double upper = (i + 1) / 10.0;
            HistogramBin bin = new HistogramBin(lower, upper, true,
                       false);
            dataset.addBin(bin);
            lower = upper;
        }
        double[] values = new double[1000];
        Random generator = new Random(12345678L);
        for (int i = 0; i < 1000; i++) {
             values[i] = generator.nextGaussian() + 5;
        }
        dataset.addObservations(values);
        return dataset;
    }
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    /**
     * Some checks that the correct values are assigned to bins.
     */
    public void testBins() {
        double[] values = {1.0, 2.0, 3.0, 4.0, 6.0, 12.0, 5.0, 6.3, 4.5};
        HistogramDataset hd = new HistogramDataset();
        hd.addSeries("Series 1", values, 5);
        assertEquals(hd.getYValue(0, 0), 3.0, EPSILON);       
        assertEquals(hd.getYValue(0, 1), 3.0, EPSILON);       
        assertEquals(hd.getYValue(0, 2), 2.0, EPSILON);       
        assertEquals(hd.getYValue(0, 3), 0.0, EPSILON);       
        assertEquals(hd.getYValue(0, 4), 1.0, EPSILON);       
    }
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     * Confirm that the equals method can distinguish all the required fields.
     */
    public void testEquals() {
       
        double[] values = {1.0, 2.0, 3.0, 4.0, 6.0, 12.0, 5.0, 6.3, 4.5};
        HistogramDataset d1 = new HistogramDataset();
        d1.addSeries("Series 1", values, 5);
        HistogramDataset d2 = new HistogramDataset();
        d2.addSeries("Series 1", values, 5);
       
        assertTrue(d1.equals(d2));
        assertTrue(d2.equals(d1));

    }
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    /**
     * Confirm that cloning works.
     */
    public void testCloning() {
        double[] values = {1.0, 2.0, 3.0, 4.0, 6.0, 12.0, 5.0, 6.3, 4.5};
        HistogramDataset d1 = new HistogramDataset();
        d1.addSeries("Series 1", values, 5);
        HistogramDataset d2 = null;
        try {
            d2 = (HistogramDataset) d1.clone();
        }
        catch (CloneNotSupportedException e) {
            System.err.println("Failed to clone.");
        }
        assertTrue(d1 != d2);
        assertTrue(d1.getClass() == d2.getClass());
        assertTrue(d1.equals(d2));
    }
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    /**
     * Serialize an instance, restore it, and check for equality.
     */
    public void testSerialization() {
        double[] values = {1.0, 2.0, 3.0, 4.0, 6.0, 12.0, 5.0, 6.3, 4.5};
        HistogramDataset d1 = new HistogramDataset();
        d1.addSeries("Series 1", values, 5);
        HistogramDataset d2 = null;

        try {
            ByteArrayOutputStream buffer = new ByteArrayOutputStream();
            ObjectOutput out = new ObjectOutputStream(buffer);
            out.writeObject(d1);
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