Package org.jfree.data.statistics

Examples of org.jfree.data.statistics.DefaultStatisticalCategoryDataset

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    /**
     * Some checks for the getRangeBounds() method.
     */
    public void testGetRangeBounds2() {
        DefaultStatisticalCategoryDataset d1
                = new DefaultStatisticalCategoryDataset();
        d1.add(1.0, 2.0, "R1", "C1");
        assertEquals(new Range(1.0, 1.0), d1.getRangeBounds(false));
        assertEquals(new Range(-1.0, 3.0), d1.getRangeBounds(true));
       
        d1.add(10.0, 20.0, "R1", "C1");
        assertEquals(new Range(10.0, 10.0), d1.getRangeBounds(false));
        assertEquals(new Range(-10.0, 30.0), d1.getRangeBounds(true));
    }
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    /**
     * Some checks for the remove method.
     */
    public void testRemove() {
        DefaultStatisticalCategoryDataset data
                = new DefaultStatisticalCategoryDataset();
       
        boolean pass = false;
        try {
            data.remove("R1", "R2");
        }
        catch (UnknownKeyException e) {
            pass = true;
        }
        assertTrue(pass);
        data.add(1.0, 0.5, "R1", "C1");
        assertEquals(new Range(1.0, 1.0), data.getRangeBounds(false));
        assertEquals(new Range(0.5, 1.5), data.getRangeBounds(true));
       
        data.add(1.4, 0.2, "R2", "C1");
       
        assertEquals(1.0, data.getRangeLowerBound(false), EPSILON);
        assertEquals(1.4, data.getRangeUpperBound(false), EPSILON);
        assertEquals(0.5, data.getRangeLowerBound(true), EPSILON);
        assertEquals(1.6, data.getRangeUpperBound(true), EPSILON);
       
        data.remove("R1", "C1");

        assertEquals(1.4, data.getRangeLowerBound(false), EPSILON);
        assertEquals(1.4, data.getRangeUpperBound(false), EPSILON);
        assertEquals(1.2, data.getRangeLowerBound(true), EPSILON);
        assertEquals(1.6, data.getRangeUpperBound(true), EPSILON);
    }
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    /**
     * Some checks for the getRangeBounds() method.
     */
    public void testGetRangeBounds() {
        DefaultStatisticalCategoryDataset d
                = new DefaultStatisticalCategoryDataset();
       
        // an empty dataset should return null for bounds
        assertNull(d.getRangeBounds(true));
       
        // try a dataset with a single value
        d.add(4.5, 1.0, "R1", "C1");
        assertEquals(new Range(4.5, 4.5), d.getRangeBounds(false));
        assertEquals(new Range(3.5, 5.5), d.getRangeBounds(true));
       
        // try a dataset with two values
        d.add(0.5, 2.0, "R1", "C2");
        assertEquals(new Range(0.5, 4.5), d.getRangeBounds(false));
        assertEquals(new Range(-1.5, 5.5), d.getRangeBounds(true));
       
        // try a Double.NaN
        d.add(Double.NaN, 0.0, "R1", "C3");
        assertEquals(new Range(0.5, 4.5), d.getRangeBounds(false));
        assertEquals(new Range(-1.5, 5.5), d.getRangeBounds(true));

        // try a Double.NEGATIVE_INFINITY
        d.add(Double.NEGATIVE_INFINITY, 0.0, "R1", "C3");
        assertEquals(new Range(Double.NEGATIVE_INFINITY, 4.5),
                d.getRangeBounds(false));
        assertEquals(new Range(Double.NEGATIVE_INFINITY, 5.5),
                d.getRangeBounds(true));

        // try a Double.POSITIVE_INFINITY
        d.add(Double.POSITIVE_INFINITY, 0.0, "R1", "C3");
        assertEquals(new Range(0.5, Double.POSITIVE_INFINITY),
                d.getRangeBounds(false));
        assertEquals(new Range(-1.5, Double.POSITIVE_INFINITY),
                d.getRangeBounds(true));
    }
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    /**
     * Confirm that the equals method can distinguish all the required fields.
     */
    public void testEquals() {
        DefaultStatisticalCategoryDataset d1
                = new DefaultStatisticalCategoryDataset();
        DefaultStatisticalCategoryDataset d2
                = new DefaultStatisticalCategoryDataset();
        assertTrue(d1.equals(d2));
        assertTrue(d2.equals(d1));

    }
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    /**
     * Some checks for cloning.
     */
    public void testCloning() {
        DefaultStatisticalCategoryDataset d1
                = new DefaultStatisticalCategoryDataset();
        d1.add(1.1, 2.2, "R1", "C1");
        d1.add(3.3, 4.4, "R1", "C2");
        d1.add(null, new Double(5.5), "R1", "C3");
        d1.add(new Double(6.6), null, "R2", "C3");
        DefaultStatisticalCategoryDataset d2 = null;
        try {
            d2 = (DefaultStatisticalCategoryDataset) d1.clone();
        }
        catch (CloneNotSupportedException e) {
            fail(e.toString());
        }
        assertTrue(d1 != d2);
        assertTrue(d1.getClass() == d2.getClass());
        assertTrue(d1.equals(d2));
       
        // check independence
        d1.add(1.1, 2.2, "R3", "C1");
        assertFalse(d1.equals(d2));
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    /**
     * Check serialization of a default instance.
     */
    public void testSerialization1() {
        DefaultStatisticalCategoryDataset d1
            = new DefaultStatisticalCategoryDataset();
        d1.add(1.1, 2.2, "R1", "C1");
        d1.add(3.3, 4.4, "R1", "C2");
        d1.add(null, new Double(5.5), "R1", "C3");
        d1.add(new Double(6.6), null, "R2", "C3");
        DefaultStatisticalCategoryDataset d2 = null;
        try {
            ByteArrayOutputStream buffer = new ByteArrayOutputStream();
            ObjectOutput out = new ObjectOutputStream(buffer);
            out.writeObject(d1);
            out.close();
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    /**
     * Check serialization of a more complex instance.
     */
    public void testSerialization2() {
        DefaultStatisticalCategoryDataset d1
            = new DefaultStatisticalCategoryDataset();
        d1.add(1.2, 3.4, "Row 1", "Column 1");
        DefaultStatisticalCategoryDataset d2 = null;
        try {
            ByteArrayOutputStream buffer = new ByteArrayOutputStream();
            ObjectOutput out = new ObjectOutputStream(buffer);
            out.writeObject(d1);
            out.close();
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     * no exceptions are thrown (particularly by code in the renderer).
     */
    public void testDrawWithNullInfo() {
        boolean success = false;
        try {
            DefaultStatisticalCategoryDataset dataset
                    = new DefaultStatisticalCategoryDataset();
            dataset.add(1.0, 2.0, "S1", "C1");
            dataset.add(3.0, 4.0, "S1", "C2");
            CategoryPlot plot = new CategoryPlot(dataset,
                    new CategoryAxis("Category"), new NumberAxis("Value"),
                    new StatisticalBarRenderer());
            JFreeChart chart = new JFreeChart(plot);
            /* BufferedImage image = */ chart.createBufferedImage(300, 200,
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     * bug report 1779941.
     */
    public void testDrawWithNullMeanVertical() {
        boolean success = false;
        try {
            DefaultStatisticalCategoryDataset dataset
                    = new DefaultStatisticalCategoryDataset();
            dataset.add(1.0, 2.0, "S1", "C1");
            dataset.add(null, new Double(4.0), "S1", "C2");
            CategoryPlot plot = new CategoryPlot(dataset,
                    new CategoryAxis("Category"), new NumberAxis("Value"),
                    new StatisticalBarRenderer());
            JFreeChart chart = new JFreeChart(plot);
            /* BufferedImage image = */ chart.createBufferedImage(300, 200,
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     * bug report 1779941.
     */
    public void testDrawWithNullMeanHorizontal() {
        boolean success = false;
        try {
            DefaultStatisticalCategoryDataset dataset
                    = new DefaultStatisticalCategoryDataset();
            dataset.add(1.0, 2.0, "S1", "C1");
            dataset.add(null, new Double(4.0), "S1", "C2");
            CategoryPlot plot = new CategoryPlot(dataset,
                    new CategoryAxis("Category"), new NumberAxis("Value"),
                    new StatisticalBarRenderer());
            plot.setOrientation(PlotOrientation.HORIZONTAL);
            JFreeChart chart = new JFreeChart(plot);
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  • org.jfree.chart.renderer.category.junit.StatisticalLineAndShapeRendererTests
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