Example usage for org.jfree.data.time TimeSeriesCollection addSeries

List of usage examples for org.jfree.data.time TimeSeriesCollection addSeries

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Introduction

In this page you can find the example usage for org.jfree.data.time TimeSeriesCollection addSeries.

Prototype

public void addSeries(TimeSeries series)

Source Link

Document

Adds a series to the collection and sends a DatasetChangeEvent to all registered listeners.

Usage

From source file:org.jfree.data.time.MovingAverage.java

/**
 * Creates a new {@link TimeSeriesCollection} containing a moving average
 * series for each series in the source collection.
 *
 * @param source  the source collection.
 * @param suffix  the suffix added to each source series name to create the
 *                corresponding moving average series name.
 * @param periodCount  the number of periods in the moving average
 *                     calculation./*ww  w  . j av a  2 s. c o  m*/
 * @param skip  the number of initial periods to skip.
 *
 * @return A collection of moving average time series.
 */
public static TimeSeriesCollection createMovingAverage(TimeSeriesCollection source, String suffix,
        int periodCount, int skip) {

    ParamChecks.nullNotPermitted(source, "source");
    if (periodCount < 1) {
        throw new IllegalArgumentException("periodCount must be greater " + "than or equal to 1.");
    }

    TimeSeriesCollection result = new TimeSeriesCollection();
    for (int i = 0; i < source.getSeriesCount(); i++) {
        TimeSeries sourceSeries = source.getSeries(i);
        TimeSeries maSeries = createMovingAverage(sourceSeries, sourceSeries.getKey() + suffix, periodCount,
                skip);
        result.addSeries(maSeries);
    }
    return result;

}

From source file:tools.descartes.bungee.chart.ChartGenerator.java

public static JFreeChart allocationChart(List<ResourceAllocation> allocations) {
    final TimeSeriesCollection dataset = new TimeSeriesCollection();
    final TimeSeries series = createTimeSeries(allocations, "Resource Allocation");
    dataset.addSeries(series);
    return createTimeSeriesChart(createAllocationPlot(dataset));
}

From source file:org.jfree.chart.demo.XYTaskDatasetDemo2.java

private static XYDataset createDataset1() {
    TimeSeriesCollection timeseriescollection = new TimeSeriesCollection();
    TimeSeries timeseries = new TimeSeries("Time Series 1");
    timeseries.add(new Hour(0, new Day()), 20214.5D);
    timeseries.add(new Hour(4, new Day()), 73346.5D);
    timeseries.add(new Hour(8, new Day()), 54643.599999999999D);
    timeseries.add(new Hour(12, new Day()), 92683.800000000003D);
    timeseries.add(new Hour(16, new Day()), 110235.39999999999D);
    timeseries.add(new Hour(20, new Day()), 120742.5D);
    timeseries.add(new Hour(24, new Day()), 90654.5D);
    timeseriescollection.addSeries(timeseries);
    return timeseriescollection;
}

From source file:org.efs.openreports.engine.ChartReportEngine.java

private static XYDataset createTimeDataset(ChartValue[] values) {
    TimeSeries series = null;//  w  w w.j  av a2 s . co m
    TimeSeriesCollection seriesCollection = new TimeSeriesCollection();

    for (int i = 0; i < values.length; i++) {
        TimeChartValue value = (TimeChartValue) values[i];

        if (series == null || !series.getKey().equals(value.getSeries())) {
            if (series != null) {
                seriesCollection.addSeries(series);
            }

            series = new TimeSeries(value.getSeries(), Second.class);
        }

        series.add(new Second(value.getTime()), value.getValue());
    }

    seriesCollection.addSeries(series);

    return seriesCollection;
}

From source file:com.redhat.rhn.frontend.graphing.GraphGenerator.java

/**
 * Format the RHN TimeSeriesData DTO into a JFree format.
 * @param List of DTO objects/*w ww. j  a v a2s  .c  om*/
 * @param labelMap a map containing the localized labels used
 *        for the metrics.  Contains simple "metricId" keys
 *        with the localized Strings as the value.  For example:
 *        labelMap={"pctfree" -> "Percent Free", "memused" -> "Memory Used"}
 * @return JFree object collection of data and time values
 */
private static XYDataset createDataset(List dataIn, Map labelMap) {
    TimeSeriesCollection dataset = new TimeSeriesCollection();

    Iterator itr = dataIn.iterator();
    while (itr.hasNext()) {
        TimeSeriesData[] data = (TimeSeriesData[]) itr.next();
        if (data.length > 0) {
            TimeSeries s1 = new TimeSeries((String) labelMap.get(data[0].getMetric()), Minute.class);
            for (int i = 0; i < data.length; i++) {
                Minute m1 = new Minute(data[i].getTime());
                s1.addOrUpdate(m1, data[i].getData());
            }
            dataset.addSeries(s1);
        }
    }
    dataset.setDomainIsPointsInTime(true);
    return dataset;

}

From source file:com.orsonpdf.demo.PDFTimeSeriesChartDemo1.java

/**
 * Creates a dataset, consisting of two series of monthly data.
 *
 * @return the dataset./* ww  w. j  a v a  2s.  c  o m*/
 */
private static XYDataset createDataset() {
    TimeSeries s1 = new TimeSeries("Indicator Price");
    s1.add(new Month(1, 2010), 126.80);
    s1.add(new Month(2, 2010), 123.37);
    s1.add(new Month(3, 2010), 125.30);
    s1.add(new Month(4, 2010), 126.89);
    s1.add(new Month(5, 2010), 128.10);
    s1.add(new Month(6, 2010), 142.20);
    s1.add(new Month(7, 2010), 153.41);
    s1.add(new Month(8, 2010), 157.46);
    s1.add(new Month(9, 2010), 163.61);
    s1.add(new Month(10, 2010), 161.56);
    s1.add(new Month(11, 2010), 173.90);
    s1.add(new Month(12, 2010), 184.26);
    s1.add(new Month(1, 2011), 197.35);
    s1.add(new Month(2, 2011), 216.03);
    s1.add(new Month(3, 2011), 224.33);
    s1.add(new Month(4, 2011), 231.24);
    s1.add(new Month(5, 2011), 227.97);
    s1.add(new Month(6, 2011), 215.58);
    s1.add(new Month(7, 2011), 210.36);
    s1.add(new Month(8, 2011), 212.19);
    s1.add(new Month(9, 2011), 213.04);
    s1.add(new Month(10, 2011), 193.90);
    s1.add(new Month(11, 2011), 193.66);
    s1.add(new Month(12, 2011), 189.02);
    s1.add(new Month(1, 2012), 188.90);
    s1.add(new Month(2, 2012), 182.29);
    s1.add(new Month(3, 2012), 167.77);
    s1.add(new Month(4, 2012), 160.46);
    s1.add(new Month(5, 2012), 157.68);
    s1.add(new Month(6, 2012), 145.31);
    s1.add(new Month(7, 2012), 159.07);
    s1.add(new Month(8, 2012), 148.50);
    s1.add(new Month(9, 2012), 151.28);
    s1.add(new Month(10, 2012), 147.12);
    s1.add(new Month(11, 2012), 136.35);
    s1.add(new Month(12, 2012), 131.31);
    s1.add(new Month(1, 2013), 135.38);
    s1.add(new Month(2, 2013), 131.51);
    s1.add(new Month(3, 2013), 131.38);

    TimeSeries s2 = new TimeSeries("Columbian Milds");
    s2.add(new Month(1, 2010), 207.51);
    s2.add(new Month(2, 2010), 204.71);
    s2.add(new Month(3, 2010), 205.71);
    s2.add(new Month(4, 2010), 200.00);
    s2.add(new Month(5, 2010), 200.54);
    s2.add(new Month(6, 2010), 224.49);
    s2.add(new Month(7, 2010), 235.52);
    s2.add(new Month(8, 2010), 243.98);
    s2.add(new Month(9, 2010), 247.77);
    s2.add(new Month(10, 2010), 230.02);
    s2.add(new Month(11, 2010), 244.02);
    s2.add(new Month(12, 2010), 261.97);
    s2.add(new Month(1, 2011), 279.88);
    s2.add(new Month(2, 2011), 296.44);
    s2.add(new Month(3, 2011), 300.68);
    s2.add(new Month(4, 2011), 312.95);
    s2.add(new Month(5, 2011), 302.17);
    s2.add(new Month(6, 2011), 287.95);
    s2.add(new Month(7, 2011), 285.21);
    s2.add(new Month(8, 2011), 286.97);
    s2.add(new Month(9, 2011), 287.54);
    s2.add(new Month(10, 2011), 257.66);
    s2.add(new Month(11, 2011), 256.99);
    s2.add(new Month(12, 2011), 251.60);
    s2.add(new Month(1, 2012), 255.91);
    s2.add(new Month(2, 2012), 244.14);
    s2.add(new Month(3, 2012), 222.84);
    s2.add(new Month(4, 2012), 214.46);
    s2.add(new Month(5, 2012), 207.32);
    s2.add(new Month(6, 2012), 184.67);
    s2.add(new Month(7, 2012), 202.56);
    s2.add(new Month(8, 2012), 187.14);
    s2.add(new Month(9, 2012), 190.10);
    s2.add(new Month(10, 2012), 181.39);
    s2.add(new Month(11, 2012), 170.08);
    s2.add(new Month(12, 2012), 164.40);
    s2.add(new Month(1, 2013), 169.19);
    s2.add(new Month(2, 2013), 161.70);
    s2.add(new Month(3, 2013), 161.53);

    TimeSeries s3 = new TimeSeries("Other Milds");
    s3.add(new Month(1, 2010), 158.90);
    s3.add(new Month(2, 2010), 157.86);
    s3.add(new Month(3, 2010), 164.50);
    s3.add(new Month(4, 2010), 169.55);
    s3.add(new Month(5, 2010), 173.38);
    s3.add(new Month(6, 2010), 190.90);
    s3.add(new Month(7, 2010), 203.21);
    s3.add(new Month(8, 2010), 211.59);
    s3.add(new Month(9, 2010), 222.71);
    s3.add(new Month(10, 2010), 217.64);
    s3.add(new Month(11, 2010), 233.48);
    s3.add(new Month(12, 2010), 248.17);
    s3.add(new Month(1, 2011), 263.77);
    s3.add(new Month(2, 2011), 287.89);
    s3.add(new Month(3, 2011), 292.07);
    s3.add(new Month(4, 2011), 300.12);
    s3.add(new Month(5, 2011), 291.09);
    s3.add(new Month(6, 2011), 274.98);
    s3.add(new Month(7, 2011), 268.02);
    s3.add(new Month(8, 2011), 270.44);
    s3.add(new Month(9, 2011), 274.88);
    s3.add(new Month(10, 2011), 247.82);
    s3.add(new Month(11, 2011), 245.09);
    s3.add(new Month(12, 2011), 236.71);
    s3.add(new Month(1, 2012), 237.21);
    s3.add(new Month(2, 2012), 224.16);
    s3.add(new Month(3, 2012), 201.26);
    s3.add(new Month(4, 2012), 191.45);
    s3.add(new Month(5, 2012), 184.65);
    s3.add(new Month(6, 2012), 168.69);
    s3.add(new Month(7, 2012), 190.45);
    s3.add(new Month(8, 2012), 174.82);
    s3.add(new Month(9, 2012), 178.98);
    s3.add(new Month(10, 2012), 173.32);
    s3.add(new Month(11, 2012), 159.91);
    s3.add(new Month(12, 2012), 152.74);
    s3.add(new Month(1, 2013), 157.29);
    s3.add(new Month(2, 2013), 149.46);
    s3.add(new Month(3, 2013), 149.78);

    TimeSeries s4 = new TimeSeries("Brazilian Naturals");
    s4.add(new Month(1, 2010), 131.67);
    s4.add(new Month(2, 2010), 124.57);
    s4.add(new Month(3, 2010), 126.21);
    s4.add(new Month(4, 2010), 126.07);
    s4.add(new Month(5, 2010), 127.45);
    s4.add(new Month(6, 2010), 143.20);
    s4.add(new Month(7, 2010), 156.87);
    s4.add(new Month(8, 2010), 163.21);
    s4.add(new Month(9, 2010), 175.15);
    s4.add(new Month(10, 2010), 175.38);
    s4.add(new Month(11, 2010), 190.62);
    s4.add(new Month(12, 2010), 204.25);
    s4.add(new Month(1, 2011), 219.77);
    s4.add(new Month(2, 2011), 247.00);
    s4.add(new Month(3, 2011), 260.98);
    s4.add(new Month(4, 2011), 273.40);
    s4.add(new Month(5, 2011), 268.66);
    s4.add(new Month(6, 2011), 250.59);
    s4.add(new Month(7, 2011), 245.69);
    s4.add(new Month(8, 2011), 249.83);
    s4.add(new Month(9, 2011), 255.64);
    s4.add(new Month(10, 2011), 234.28);
    s4.add(new Month(11, 2011), 236.75);
    s4.add(new Month(12, 2011), 228.79);
    s4.add(new Month(1, 2012), 228.21);
    s4.add(new Month(2, 2012), 215.40);
    s4.add(new Month(3, 2012), 192.03);
    s4.add(new Month(4, 2012), 180.90);
    s4.add(new Month(5, 2012), 174.17);
    s4.add(new Month(6, 2012), 156.17);
    s4.add(new Month(7, 2012), 175.98);
    s4.add(new Month(8, 2012), 160.05);
    s4.add(new Month(9, 2012), 166.53);
    s4.add(new Month(10, 2012), 161.20);
    s4.add(new Month(11, 2012), 148.25);
    s4.add(new Month(12, 2012), 140.69);
    s4.add(new Month(1, 2013), 145.17);
    s4.add(new Month(2, 2013), 136.63);
    s4.add(new Month(3, 2013), 133.61);

    TimeSeries s5 = new TimeSeries("Robustas");
    s5.add(new Month(1, 2010), 69.92);
    s5.add(new Month(2, 2010), 67.88);
    s5.add(new Month(3, 2010), 67.25);
    s5.add(new Month(4, 2010), 71.59);
    s5.add(new Month(5, 2010), 70.70);
    s5.add(new Month(6, 2010), 76.92);
    s5.add(new Month(7, 2010), 85.27);
    s5.add(new Month(8, 2010), 82.68);
    s5.add(new Month(9, 2010), 81.28);
    s5.add(new Month(10, 2010), 85.27);
    s5.add(new Month(11, 2010), 92.04);
    s5.add(new Month(12, 2010), 94.09);
    s5.add(new Month(1, 2011), 101.09);
    s5.add(new Month(2, 2011), 109.35);
    s5.add(new Month(3, 2011), 118.13);
    s5.add(new Month(4, 2011), 117.37);
    s5.add(new Month(5, 2011), 121.98);
    s5.add(new Month(6, 2011), 117.95);
    s5.add(new Month(7, 2011), 112.73);
    s5.add(new Month(8, 2011), 112.07);
    s5.add(new Month(9, 2011), 106.06);
    s5.add(new Month(10, 2011), 98.10);
    s5.add(new Month(11, 2011), 97.24);
    s5.add(new Month(12, 2011), 98.41);
    s5.add(new Month(1, 2012), 96.72);
    s5.add(new Month(2, 2012), 101.93);
    s5.add(new Month(3, 2012), 103.57);
    s5.add(new Month(4, 2012), 101.80);
    s5.add(new Month(5, 2012), 106.88);
    s5.add(new Month(6, 2012), 105.70);
    s5.add(new Month(7, 2012), 107.06);
    s5.add(new Month(8, 2012), 106.52);
    s5.add(new Month(9, 2012), 104.95);
    s5.add(new Month(10, 2012), 104.47);
    s5.add(new Month(11, 2012), 97.67);
    s5.add(new Month(12, 2012), 96.59);
    s5.add(new Month(1, 2013), 99.69);
    s5.add(new Month(2, 2013), 104.03);
    s5.add(new Month(3, 2013), 106.26);

    TimeSeries s6 = new TimeSeries("Futures (London)");
    s6.add(new Month(1, 2010), 62.66);
    s6.add(new Month(2, 2010), 60.37);
    s6.add(new Month(3, 2010), 58.64);
    s6.add(new Month(4, 2010), 62.21);
    s6.add(new Month(5, 2010), 62.46);
    s6.add(new Month(6, 2010), 69.72);
    s6.add(new Month(7, 2010), 78.17);
    s6.add(new Month(8, 2010), 78.42);
    s6.add(new Month(9, 2010), 75.87);
    s6.add(new Month(10, 2010), 80.08);
    s6.add(new Month(11, 2010), 86.40);
    s6.add(new Month(12, 2010), 88.70);
    s6.add(new Month(1, 2011), 96.02);
    s6.add(new Month(2, 2011), 104.53);
    s6.add(new Month(3, 2011), 111.36);
    s6.add(new Month(4, 2011), 111.34);
    s6.add(new Month(5, 2011), 116.76);
    s6.add(new Month(6, 2011), 110.51);
    s6.add(new Month(7, 2011), 103.36);
    s6.add(new Month(8, 2011), 102.71);
    s6.add(new Month(9, 2011), 96.10);
    s6.add(new Month(10, 2011), 88.64);
    s6.add(new Month(11, 2011), 85.78);
    s6.add(new Month(12, 2011), 87.65);
    s6.add(new Month(1, 2012), 84.19);
    s6.add(new Month(2, 2012), 88.69);
    s6.add(new Month(3, 2012), 91.37);
    s6.add(new Month(4, 2012), 91.81);
    s6.add(new Month(5, 2012), 96.82);
    s6.add(new Month(6, 2012), 94.75);
    s6.add(new Month(7, 2012), 96.14);
    s6.add(new Month(8, 2012), 96.12);
    s6.add(new Month(9, 2012), 94.65);
    s6.add(new Month(10, 2012), 94.66);
    s6.add(new Month(11, 2012), 87.32);
    s6.add(new Month(12, 2012), 85.94);
    s6.add(new Month(1, 2013), 88.85);
    s6.add(new Month(2, 2013), 94.41);
    s6.add(new Month(3, 2013), 97.22);

    TimeSeries s7 = new TimeSeries("Futures (New York)");
    s7.add(new Month(1, 2010), 142.76);
    s7.add(new Month(2, 2010), 134.35);
    s7.add(new Month(3, 2010), 134.97);
    s7.add(new Month(4, 2010), 135.12);
    s7.add(new Month(5, 2010), 135.81);
    s7.add(new Month(6, 2010), 152.36);
    s7.add(new Month(7, 2010), 165.23);
    s7.add(new Month(8, 2010), 175.10);
    s7.add(new Month(9, 2010), 187.80);
    s7.add(new Month(10, 2010), 190.43);
    s7.add(new Month(11, 2010), 206.92);
    s7.add(new Month(12, 2010), 221.51);
    s7.add(new Month(1, 2011), 238.05);
    s7.add(new Month(2, 2011), 261.41);
    s7.add(new Month(3, 2011), 274.10);
    s7.add(new Month(4, 2011), 285.58);
    s7.add(new Month(5, 2011), 277.72);
    s7.add(new Month(6, 2011), 262.52);
    s7.add(new Month(7, 2011), 255.90);
    s7.add(new Month(8, 2011), 260.39);
    s7.add(new Month(9, 2011), 261.39);
    s7.add(new Month(10, 2011), 236.74);
    s7.add(new Month(11, 2011), 235.25);
    s7.add(new Month(12, 2011), 227.23);
    s7.add(new Month(1, 2012), 227.50);
    s7.add(new Month(2, 2012), 212.09);
    s7.add(new Month(3, 2012), 188.78);
    s7.add(new Month(4, 2012), 181.75);
    s7.add(new Month(5, 2012), 176.50);
    s7.add(new Month(6, 2012), 159.93);
    s7.add(new Month(7, 2012), 183.20);
    s7.add(new Month(8, 2012), 169.77);
    s7.add(new Month(9, 2012), 175.36);
    s7.add(new Month(10, 2012), 170.43);
    s7.add(new Month(11, 2012), 155.72);
    s7.add(new Month(12, 2012), 149.58);
    s7.add(new Month(1, 2013), 154.28);
    s7.add(new Month(2, 2013), 144.89);
    s7.add(new Month(3, 2013), 141.43);

    TimeSeriesCollection dataset = new TimeSeriesCollection();
    dataset.addSeries(s1);
    dataset.addSeries(s2);
    dataset.addSeries(s3);
    dataset.addSeries(s4);
    dataset.addSeries(s5);
    dataset.addSeries(s6);
    dataset.addSeries(s7);
    return dataset;
}

From source file:org.jfree.fx.demo.FXGraphics2DDemo1.java

/**
 * Creates a dataset, consisting of two series of monthly data.
 *
 * @return the dataset.//from w w w .  j  a v a  2  s.  c  o m
 */
private static XYDataset createDataset() {

    TimeSeries s1 = new TimeSeries("Indicator Price");
    s1.add(new Month(1, 2010), 126.80);
    s1.add(new Month(2, 2010), 123.37);
    s1.add(new Month(3, 2010), 125.30);
    s1.add(new Month(4, 2010), 126.89);
    s1.add(new Month(5, 2010), 128.10);
    s1.add(new Month(6, 2010), 142.20);
    s1.add(new Month(7, 2010), 153.41);
    s1.add(new Month(8, 2010), 157.46);
    s1.add(new Month(9, 2010), 163.61);
    s1.add(new Month(10, 2010), 161.56);
    s1.add(new Month(11, 2010), 173.90);
    s1.add(new Month(12, 2010), 184.26);
    s1.add(new Month(1, 2011), 197.35);
    s1.add(new Month(2, 2011), 216.03);
    s1.add(new Month(3, 2011), 224.33);
    s1.add(new Month(4, 2011), 231.24);
    s1.add(new Month(5, 2011), 227.97);
    s1.add(new Month(6, 2011), 215.58);
    s1.add(new Month(7, 2011), 210.36);
    s1.add(new Month(8, 2011), 212.19);
    s1.add(new Month(9, 2011), 213.04);
    s1.add(new Month(10, 2011), 193.90);
    s1.add(new Month(11, 2011), 193.66);
    s1.add(new Month(12, 2011), 189.02);
    s1.add(new Month(1, 2012), 188.90);
    s1.add(new Month(2, 2012), 182.29);
    s1.add(new Month(3, 2012), 167.77);
    s1.add(new Month(4, 2012), 160.46);
    s1.add(new Month(5, 2012), 157.68);
    s1.add(new Month(6, 2012), 145.31);
    s1.add(new Month(7, 2012), 159.07);
    s1.add(new Month(8, 2012), 148.50);
    s1.add(new Month(9, 2012), 151.28);
    s1.add(new Month(10, 2012), 147.12);
    s1.add(new Month(11, 2012), 136.35);
    s1.add(new Month(12, 2012), 131.31);
    s1.add(new Month(1, 2013), 135.38);
    s1.add(new Month(2, 2013), 131.51);
    s1.add(new Month(3, 2013), 131.38);

    TimeSeries s2 = new TimeSeries("Columbian Milds");
    s2.add(new Month(1, 2010), 207.51);
    s2.add(new Month(2, 2010), 204.71);
    s2.add(new Month(3, 2010), 205.71);
    s2.add(new Month(4, 2010), 200.00);
    s2.add(new Month(5, 2010), 200.54);
    s2.add(new Month(6, 2010), 224.49);
    s2.add(new Month(7, 2010), 235.52);
    s2.add(new Month(8, 2010), 243.98);
    s2.add(new Month(9, 2010), 247.77);
    s2.add(new Month(10, 2010), 230.02);
    s2.add(new Month(11, 2010), 244.02);
    s2.add(new Month(12, 2010), 261.97);
    s2.add(new Month(1, 2011), 279.88);
    s2.add(new Month(2, 2011), 296.44);
    s2.add(new Month(3, 2011), 300.68);
    s2.add(new Month(4, 2011), 312.95);
    s2.add(new Month(5, 2011), 302.17);
    s2.add(new Month(6, 2011), 287.95);
    s2.add(new Month(7, 2011), 285.21);
    s2.add(new Month(8, 2011), 286.97);
    s2.add(new Month(9, 2011), 287.54);
    s2.add(new Month(10, 2011), 257.66);
    s2.add(new Month(11, 2011), 256.99);
    s2.add(new Month(12, 2011), 251.60);
    s2.add(new Month(1, 2012), 255.91);
    s2.add(new Month(2, 2012), 244.14);
    s2.add(new Month(3, 2012), 222.84);
    s2.add(new Month(4, 2012), 214.46);
    s2.add(new Month(5, 2012), 207.32);
    s2.add(new Month(6, 2012), 184.67);
    s2.add(new Month(7, 2012), 202.56);
    s2.add(new Month(8, 2012), 187.14);
    s2.add(new Month(9, 2012), 190.10);
    s2.add(new Month(10, 2012), 181.39);
    s2.add(new Month(11, 2012), 170.08);
    s2.add(new Month(12, 2012), 164.40);
    s2.add(new Month(1, 2013), 169.19);
    s2.add(new Month(2, 2013), 161.70);
    s2.add(new Month(3, 2013), 161.53);

    TimeSeries s3 = new TimeSeries("Other Milds");
    s3.add(new Month(1, 2010), 158.90);
    s3.add(new Month(2, 2010), 157.86);
    s3.add(new Month(3, 2010), 164.50);
    s3.add(new Month(4, 2010), 169.55);
    s3.add(new Month(5, 2010), 173.38);
    s3.add(new Month(6, 2010), 190.90);
    s3.add(new Month(7, 2010), 203.21);
    s3.add(new Month(8, 2010), 211.59);
    s3.add(new Month(9, 2010), 222.71);
    s3.add(new Month(10, 2010), 217.64);
    s3.add(new Month(11, 2010), 233.48);
    s3.add(new Month(12, 2010), 248.17);
    s3.add(new Month(1, 2011), 263.77);
    s3.add(new Month(2, 2011), 287.89);
    s3.add(new Month(3, 2011), 292.07);
    s3.add(new Month(4, 2011), 300.12);
    s3.add(new Month(5, 2011), 291.09);
    s3.add(new Month(6, 2011), 274.98);
    s3.add(new Month(7, 2011), 268.02);
    s3.add(new Month(8, 2011), 270.44);
    s3.add(new Month(9, 2011), 274.88);
    s3.add(new Month(10, 2011), 247.82);
    s3.add(new Month(11, 2011), 245.09);
    s3.add(new Month(12, 2011), 236.71);
    s3.add(new Month(1, 2012), 237.21);
    s3.add(new Month(2, 2012), 224.16);
    s3.add(new Month(3, 2012), 201.26);
    s3.add(new Month(4, 2012), 191.45);
    s3.add(new Month(5, 2012), 184.65);
    s3.add(new Month(6, 2012), 168.69);
    s3.add(new Month(7, 2012), 190.45);
    s3.add(new Month(8, 2012), 174.82);
    s3.add(new Month(9, 2012), 178.98);
    s3.add(new Month(10, 2012), 173.32);
    s3.add(new Month(11, 2012), 159.91);
    s3.add(new Month(12, 2012), 152.74);
    s3.add(new Month(1, 2013), 157.29);
    s3.add(new Month(2, 2013), 149.46);
    s3.add(new Month(3, 2013), 149.78);

    TimeSeries s4 = new TimeSeries("Brazilian Naturals");
    s4.add(new Month(1, 2010), 131.67);
    s4.add(new Month(2, 2010), 124.57);
    s4.add(new Month(3, 2010), 126.21);
    s4.add(new Month(4, 2010), 126.07);
    s4.add(new Month(5, 2010), 127.45);
    s4.add(new Month(6, 2010), 143.20);
    s4.add(new Month(7, 2010), 156.87);
    s4.add(new Month(8, 2010), 163.21);
    s4.add(new Month(9, 2010), 175.15);
    s4.add(new Month(10, 2010), 175.38);
    s4.add(new Month(11, 2010), 190.62);
    s4.add(new Month(12, 2010), 204.25);
    s4.add(new Month(1, 2011), 219.77);
    s4.add(new Month(2, 2011), 247.00);
    s4.add(new Month(3, 2011), 260.98);
    s4.add(new Month(4, 2011), 273.40);
    s4.add(new Month(5, 2011), 268.66);
    s4.add(new Month(6, 2011), 250.59);
    s4.add(new Month(7, 2011), 245.69);
    s4.add(new Month(8, 2011), 249.83);
    s4.add(new Month(9, 2011), 255.64);
    s4.add(new Month(10, 2011), 234.28);
    s4.add(new Month(11, 2011), 236.75);
    s4.add(new Month(12, 2011), 228.79);
    s4.add(new Month(1, 2012), 228.21);
    s4.add(new Month(2, 2012), 215.40);
    s4.add(new Month(3, 2012), 192.03);
    s4.add(new Month(4, 2012), 180.90);
    s4.add(new Month(5, 2012), 174.17);
    s4.add(new Month(6, 2012), 156.17);
    s4.add(new Month(7, 2012), 175.98);
    s4.add(new Month(8, 2012), 160.05);
    s4.add(new Month(9, 2012), 166.53);
    s4.add(new Month(10, 2012), 161.20);
    s4.add(new Month(11, 2012), 148.25);
    s4.add(new Month(12, 2012), 140.69);
    s4.add(new Month(1, 2013), 145.17);
    s4.add(new Month(2, 2013), 136.63);
    s4.add(new Month(3, 2013), 133.61);

    TimeSeries s5 = new TimeSeries("Robustas");
    s5.add(new Month(1, 2010), 69.92);
    s5.add(new Month(2, 2010), 67.88);
    s5.add(new Month(3, 2010), 67.25);
    s5.add(new Month(4, 2010), 71.59);
    s5.add(new Month(5, 2010), 70.70);
    s5.add(new Month(6, 2010), 76.92);
    s5.add(new Month(7, 2010), 85.27);
    s5.add(new Month(8, 2010), 82.68);
    s5.add(new Month(9, 2010), 81.28);
    s5.add(new Month(10, 2010), 85.27);
    s5.add(new Month(11, 2010), 92.04);
    s5.add(new Month(12, 2010), 94.09);
    s5.add(new Month(1, 2011), 101.09);
    s5.add(new Month(2, 2011), 109.35);
    s5.add(new Month(3, 2011), 118.13);
    s5.add(new Month(4, 2011), 117.37);
    s5.add(new Month(5, 2011), 121.98);
    s5.add(new Month(6, 2011), 117.95);
    s5.add(new Month(7, 2011), 112.73);
    s5.add(new Month(8, 2011), 112.07);
    s5.add(new Month(9, 2011), 106.06);
    s5.add(new Month(10, 2011), 98.10);
    s5.add(new Month(11, 2011), 97.24);
    s5.add(new Month(12, 2011), 98.41);
    s5.add(new Month(1, 2012), 96.72);
    s5.add(new Month(2, 2012), 101.93);
    s5.add(new Month(3, 2012), 103.57);
    s5.add(new Month(4, 2012), 101.80);
    s5.add(new Month(5, 2012), 106.88);
    s5.add(new Month(6, 2012), 105.70);
    s5.add(new Month(7, 2012), 107.06);
    s5.add(new Month(8, 2012), 106.52);
    s5.add(new Month(9, 2012), 104.95);
    s5.add(new Month(10, 2012), 104.47);
    s5.add(new Month(11, 2012), 97.67);
    s5.add(new Month(12, 2012), 96.59);
    s5.add(new Month(1, 2013), 99.69);
    s5.add(new Month(2, 2013), 104.03);
    s5.add(new Month(3, 2013), 106.26);

    TimeSeries s6 = new TimeSeries("Futures (London)");
    s6.add(new Month(1, 2010), 62.66);
    s6.add(new Month(2, 2010), 60.37);
    s6.add(new Month(3, 2010), 58.64);
    s6.add(new Month(4, 2010), 62.21);
    s6.add(new Month(5, 2010), 62.46);
    s6.add(new Month(6, 2010), 69.72);
    s6.add(new Month(7, 2010), 78.17);
    s6.add(new Month(8, 2010), 78.42);
    s6.add(new Month(9, 2010), 75.87);
    s6.add(new Month(10, 2010), 80.08);
    s6.add(new Month(11, 2010), 86.40);
    s6.add(new Month(12, 2010), 88.70);
    s6.add(new Month(1, 2011), 96.02);
    s6.add(new Month(2, 2011), 104.53);
    s6.add(new Month(3, 2011), 111.36);
    s6.add(new Month(4, 2011), 111.34);
    s6.add(new Month(5, 2011), 116.76);
    s6.add(new Month(6, 2011), 110.51);
    s6.add(new Month(7, 2011), 103.36);
    s6.add(new Month(8, 2011), 102.71);
    s6.add(new Month(9, 2011), 96.10);
    s6.add(new Month(10, 2011), 88.64);
    s6.add(new Month(11, 2011), 85.78);
    s6.add(new Month(12, 2011), 87.65);
    s6.add(new Month(1, 2012), 84.19);
    s6.add(new Month(2, 2012), 88.69);
    s6.add(new Month(3, 2012), 91.37);
    s6.add(new Month(4, 2012), 91.81);
    s6.add(new Month(5, 2012), 96.82);
    s6.add(new Month(6, 2012), 94.75);
    s6.add(new Month(7, 2012), 96.14);
    s6.add(new Month(8, 2012), 96.12);
    s6.add(new Month(9, 2012), 94.65);
    s6.add(new Month(10, 2012), 94.66);
    s6.add(new Month(11, 2012), 87.32);
    s6.add(new Month(12, 2012), 85.94);
    s6.add(new Month(1, 2013), 88.85);
    s6.add(new Month(2, 2013), 94.41);
    s6.add(new Month(3, 2013), 97.22);

    TimeSeries s7 = new TimeSeries("Futures (New York)");
    s7.add(new Month(1, 2010), 142.76);
    s7.add(new Month(2, 2010), 134.35);
    s7.add(new Month(3, 2010), 134.97);
    s7.add(new Month(4, 2010), 135.12);
    s7.add(new Month(5, 2010), 135.81);
    s7.add(new Month(6, 2010), 152.36);
    s7.add(new Month(7, 2010), 165.23);
    s7.add(new Month(8, 2010), 175.10);
    s7.add(new Month(9, 2010), 187.80);
    s7.add(new Month(10, 2010), 190.43);
    s7.add(new Month(11, 2010), 206.92);
    s7.add(new Month(12, 2010), 221.51);
    s7.add(new Month(1, 2011), 238.05);
    s7.add(new Month(2, 2011), 261.41);
    s7.add(new Month(3, 2011), 274.10);
    s7.add(new Month(4, 2011), 285.58);
    s7.add(new Month(5, 2011), 277.72);
    s7.add(new Month(6, 2011), 262.52);
    s7.add(new Month(7, 2011), 255.90);
    s7.add(new Month(8, 2011), 260.39);
    s7.add(new Month(9, 2011), 261.39);
    s7.add(new Month(10, 2011), 236.74);
    s7.add(new Month(11, 2011), 235.25);
    s7.add(new Month(12, 2011), 227.23);
    s7.add(new Month(1, 2012), 227.50);
    s7.add(new Month(2, 2012), 212.09);
    s7.add(new Month(3, 2012), 188.78);
    s7.add(new Month(4, 2012), 181.75);
    s7.add(new Month(5, 2012), 176.50);
    s7.add(new Month(6, 2012), 159.93);
    s7.add(new Month(7, 2012), 183.20);
    s7.add(new Month(8, 2012), 169.77);
    s7.add(new Month(9, 2012), 175.36);
    s7.add(new Month(10, 2012), 170.43);
    s7.add(new Month(11, 2012), 155.72);
    s7.add(new Month(12, 2012), 149.58);
    s7.add(new Month(1, 2013), 154.28);
    s7.add(new Month(2, 2013), 144.89);
    s7.add(new Month(3, 2013), 141.43);

    TimeSeriesCollection dataset = new TimeSeriesCollection();
    dataset.addSeries(s1);
    dataset.addSeries(s2);
    dataset.addSeries(s3);
    dataset.addSeries(s4);
    dataset.addSeries(s5);
    dataset.addSeries(s6);
    dataset.addSeries(s7);
    return dataset;
}

From source file:com.griddynamics.jagger.reporting.chart.ChartHelper.java

public static JFreeChart createTimeSeriesChart(String title, List<TimeSeriesChartSpecification> specifications,
        String xLabel, String yLabel, ColorTheme theme) {

    TimeSeriesCollection dataCollection = new TimeSeriesCollection();
    for (TimeSeriesChartSpecification specification : specifications) {
        TimeSeries series = new TimeSeries(specification.getLabel(), Millisecond.class);
        for (Map.Entry<Date, Double> point : specification.getData().entrySet()) {
            series.add(new Millisecond(point.getKey()), point.getValue());
        }/*from ww w . j a v  a  2s.  c  o m*/
        dataCollection.addSeries(series);
    }

    JFreeChart chart = ChartFactory.createTimeSeriesChart(title, xLabel, yLabel, dataCollection, true, false,
            false);

    formatColorTheme(chart, theme);

    XYPlot plot = chart.getXYPlot();

    Color[] colors = generateJetSpectrum(specifications.size());
    for (int i = 0; i < specifications.size(); i++) {
        plot.getRenderer().setSeriesPaint(i, colors[i]);
    }

    DateAxis axis = (DateAxis) plot.getDomainAxis();
    axis.setDateFormatOverride(new SimpleDateFormat("dd/MM hh:mm:ss"));

    return chart;
}

From source file:grafici.MediciTimeSeriesChart.java

/**
 * Creates a dataset, consisting of two series of monthly data.
 * /*ww  w  .  java2  s. co m*/
 * @return The dataset.
 */
private static XYDataset createDataset(int tipo) {
    TimeSeriesCollection dataset = new TimeSeriesCollection();
    System.out.println("medico time graph");
    // anno 2010
    try {
        TimeSeries s1 = new TimeSeries("2010");
        for (Object item : MedicoDAO.getPrestazioni(2010)) {
            Prestazione item1 = (Prestazione) ((Object[]) item)[0];
            if (s1.getDataItem(new Day(item1.getId().getDataTurno())) == null)
                s1.addOrUpdate(new Day(item1.getId().getDataTurno()), 1);
            else
                s1.addOrUpdate(new Day(item1.getId().getDataTurno()),
                        s1.getDataItem(new Day(item1.getId().getDataTurno())).getValue().intValue() + 1);

        }
        dataset.addSeries(s1);
    } catch (Exception e) {
        e.printStackTrace();
    }
    return dataset;

}

From source file:tools.descartes.bungee.chart.ChartGenerator.java

public static XYPlot createIntensityPlot(final List<ArrivalRateTuple> intensities) {
    final TimeSeriesCollection dataset = new TimeSeriesCollection();
    final TimeSeries series = new TimeSeries("load intensity");
    for (ArrivalRateTuple intensity : intensities) {
        long milliseconds = (referenceDate.getTime() / 1000 + (long) Math.floor(intensity.getTimeStamp()))
                * 1000;//from www . j a  v a  2 s . co  m
        series.add(new FixedMillisecond(milliseconds), intensity.getArrivalRate());
    }
    dataset.addSeries(series);

    XYStepRenderer renderer = new XYStepRenderer();
    //renderer.setSeriesStroke(0, (new BasicStroke(2.0F)));   
    renderer.setSeriesPaint(0, Color.GRAY);
    final NumberAxis rangeAxis = new NumberAxis("Arrival Rate [1/s]");
    //rangeAxis.setRange(0, 220);
    final XYPlot intensityPlot = new XYPlot(dataset, null, rangeAxis, renderer);
    return intensityPlot;
}