Example usage for org.jfree.data.xy YIntervalSeries isEmpty

Introduction

In this page you can find the example usage for org.jfree.data.xy YIntervalSeries isEmpty.

Prototype

public boolean isEmpty() 

Source Link

Document

Returns true if the series contains no data items, and false otherwise.

Usage

From source file:org.jfree.data.xy.YIntervalSeriesTest.java

/**
 * Some checks for the clear() method./*from   ww  w . jav a  2 s .  c o m*/
 */
@Test
public void testClear() {
    YIntervalSeries s1 = new YIntervalSeries("S1");
    s1.addChangeListener(this);
    s1.clear();
    assertNull(this.lastEvent);
    assertTrue(s1.isEmpty());
    s1.add(1.0, 2.0, 3.0, 4.0);
    assertFalse(s1.isEmpty());
    s1.clear();
    assertNotNull(this.lastEvent);
    assertTrue(s1.isEmpty());
}

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From source file:lu.lippmann.cdb.common.gui.ts.TimeSeriesChartUtil.java

private static void fillWithSingleAxisInterval(final Instances dataSet, final int dateIdx,
        final YIntervalSeriesCollection tsDataset, final double deviation, final int deviatedAttrIdx) {
    final int numInstances = dataSet.numInstances();

    for (final Integer i : WekaDataStatsUtil.getNumericAttributesIndexes(dataSet)) {
        if (dataSet.attributeStats(i).missingCount == dataSet.numInstances()) {
            System.out.println("TimeSeriesChartUtil: Only missing values for '" + dataSet.attribute(i).name()
                    + "', so skip it!");
            continue;
        }/*from w  w w  . j  a v a 2 s . c o m*/
        final YIntervalSeries ts = new YIntervalSeries(dataSet.attribute(i).name());
        for (int k = 0; k < numInstances; k++) {
            final Instance instancek = dataSet.instance(k);
            final long timeInMilliSec = (long) instancek.value(dateIdx);

            if (instancek.isMissing(i)) {
                //ts.add(timeInMilliSec,null,0d,0d);               
            } else {
                if (i == deviatedAttrIdx && k > 0 && k < (numInstances - 1)) {
                    System.out.println(numInstances + " " + k + " " + instancek.value(i) + " "
                            + (instancek.value(i) - deviation) + " " + (instancek.value(i) + deviation));
                    ts.add(timeInMilliSec, instancek.value(i), instancek.value(i) - deviation,
                            instancek.value(i) + deviation);
                } else {
                    ts.add(timeInMilliSec, instancek.value(i), instancek.value(i), instancek.value(i));
                }
                //System.out.println(instancek.value(i)+" "+(instancek.value(i)-deviation)+" "+(instancek.value(i)+deviation));
            }
        }
        if (!ts.isEmpty())
            tsDataset.addSeries(ts);
    }
}

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From source file:iDynoOptimizer.MOEAFramework26.src.org.moeaframework.analysis.diagnostics.LinePlot.java

/**
 * Generates the quantile series for the specified key.
 * /*from  w  w w  .ja va2s .  c o  m*/
 * @param key the key identifying which result to plot
 * @param dataset the dataset to store the generated series
 */
protected void generateQuantileSeries(ResultKey key, YIntervalSeriesCollection dataset) {
    List<DataPoint> dataPoints = new ArrayList<DataPoint>();

    for (Accumulator accumulator : controller.get(key)) {
        if (!accumulator.keySet().contains(metric)) {
            continue;
        }

        for (int i = 0; i < accumulator.size(metric); i++) {
            dataPoints.add(new DataPoint((Integer) accumulator.get("NFE", i),
                    ((Number) accumulator.get(metric, i)).doubleValue()));
        }
    }

    Collections.sort(dataPoints);

    YIntervalSeries series = new YIntervalSeries(key);
    DescriptiveStatistics statistics = new DescriptiveStatistics();
    int index = 0;
    int currentNFE = RESOLUTION;

    while (index < dataPoints.size()) {
        DataPoint point = dataPoints.get(index);

        if (point.getNFE() <= currentNFE) {
            statistics.addValue(point.getValue());
            index++;
        } else {
            if (statistics.getN() > 0) {
                series.add(currentNFE, statistics.getPercentile(50), statistics.getPercentile(25),
                        statistics.getPercentile(75));
            }

            statistics.clear();
            currentNFE += RESOLUTION;
        }
    }

    if (statistics.getN() > 0) {
        //if only entry, add extra point to display non-zero width
        if (series.isEmpty()) {
            series.add(currentNFE - RESOLUTION, statistics.getPercentile(50), statistics.getPercentile(25),
                    statistics.getPercentile(75));
        }

        series.add(currentNFE, statistics.getPercentile(50), statistics.getPercentile(25),
                statistics.getPercentile(75));
    }

    dataset.addSeries(series);
}

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