Example usage for org.jfree.data.time TimeSeries add

List of usage examples for org.jfree.data.time TimeSeries add

Introduction

In this page you can find the example usage for org.jfree.data.time TimeSeries add.

Prototype

public void add(RegularTimePeriod period, Number value) 

Source Link

Document

Adds a new data item to the series and sends a org.jfree.data.general.SeriesChangeEvent to all registered listeners.

Usage

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

/**
 * Creates a sample dataset.//from w w w .  java 2s  .c  o m
 *
 * @return A sample dataset.
 */
private IntervalXYDataset createVolumeDataset() {

    // create dataset 2...
    final TimeSeries series1 = new TimeSeries("Volume", Day.class);

    series1.add(new Day(2, MonthConstants.JANUARY, 2002), 41020);
    series1.add(new Day(3, MonthConstants.JANUARY, 2002), 45586);
    series1.add(new Day(4, MonthConstants.JANUARY, 2002), 81672);

    series1.add(new Day(7, MonthConstants.JANUARY, 2002), 81975);
    series1.add(new Day(8, MonthConstants.JANUARY, 2002), 79692);
    series1.add(new Day(9, MonthConstants.JANUARY, 2002), 53187);
    series1.add(new Day(10, MonthConstants.JANUARY, 2002), 87929);
    series1.add(new Day(11, MonthConstants.JANUARY, 2002), 107047);

    series1.add(new Day(14, MonthConstants.JANUARY, 2002), 86276);
    series1.add(new Day(15, MonthConstants.JANUARY, 2002), 79005);
    series1.add(new Day(16, MonthConstants.JANUARY, 2002), 80632);
    series1.add(new Day(17, MonthConstants.JANUARY, 2002), 88797);
    series1.add(new Day(18, MonthConstants.JANUARY, 2002), 57179);

    series1.add(new Day(22, MonthConstants.JANUARY, 2002), 36611);
    series1.add(new Day(23, MonthConstants.JANUARY, 2002), 57063);
    series1.add(new Day(24, MonthConstants.JANUARY, 2002), 101938);
    series1.add(new Day(25, MonthConstants.JANUARY, 2002), 87177);

    series1.add(new Day(28, MonthConstants.JANUARY, 2002), 39831);
    series1.add(new Day(29, MonthConstants.JANUARY, 2002), 67654);
    series1.add(new Day(30, MonthConstants.JANUARY, 2002), 81162);
    series1.add(new Day(31, MonthConstants.JANUARY, 2002), 64923);
    series1.add(new Day(1, MonthConstants.FEBRUARY, 2002), 73481);

    series1.add(new Day(4, MonthConstants.FEBRUARY, 2002), 54723);
    series1.add(new Day(5, MonthConstants.FEBRUARY, 2002), 76708);
    series1.add(new Day(6, MonthConstants.FEBRUARY, 2002), 81281);
    series1.add(new Day(7, MonthConstants.FEBRUARY, 2002), 66553);
    series1.add(new Day(8, MonthConstants.FEBRUARY, 2002), 53592);

    series1.add(new Day(11, MonthConstants.FEBRUARY, 2002), 29410);
    series1.add(new Day(12, MonthConstants.FEBRUARY, 2002), 60345);
    series1.add(new Day(13, MonthConstants.FEBRUARY, 2002), 67339);
    series1.add(new Day(14, MonthConstants.FEBRUARY, 2002), 40057);
    series1.add(new Day(15, MonthConstants.FEBRUARY, 2002), 67865);

    series1.add(new Day(19, MonthConstants.FEBRUARY, 2002), 58628);
    series1.add(new Day(20, MonthConstants.FEBRUARY, 2002), 52109);
    series1.add(new Day(21, MonthConstants.FEBRUARY, 2002), 50195);
    series1.add(new Day(22, MonthConstants.FEBRUARY, 2002), 47806);

    series1.add(new Day(25, MonthConstants.FEBRUARY, 2002), 31711);
    series1.add(new Day(26, MonthConstants.FEBRUARY, 2002), 88328);
    series1.add(new Day(27, MonthConstants.FEBRUARY, 2002), 95805);
    series1.add(new Day(28, MonthConstants.FEBRUARY, 2002), 84035);
    series1.add(new Day(1, MonthConstants.MARCH, 2002), 113584);

    series1.add(new Day(4, MonthConstants.MARCH, 2002), 71872);
    series1.add(new Day(5, MonthConstants.MARCH, 2002), 83016);
    series1.add(new Day(6, MonthConstants.MARCH, 2002), 62273);
    series1.add(new Day(7, MonthConstants.MARCH, 2002), 138508);
    series1.add(new Day(8, MonthConstants.MARCH, 2002), 139428);

    series1.add(new Day(11, MonthConstants.MARCH, 2002), 80232);
    series1.add(new Day(12, MonthConstants.MARCH, 2002), 75693);
    series1.add(new Day(13, MonthConstants.MARCH, 2002), 104068);
    series1.add(new Day(14, MonthConstants.MARCH, 2002), 72171);
    series1.add(new Day(15, MonthConstants.MARCH, 2002), 117262);

    series1.add(new Day(18, MonthConstants.MARCH, 2002), 66048);
    series1.add(new Day(19, MonthConstants.MARCH, 2002), 87079);
    series1.add(new Day(20, MonthConstants.MARCH, 2002), 116084);
    series1.add(new Day(21, MonthConstants.MARCH, 2002), 113206);
    series1.add(new Day(22, MonthConstants.MARCH, 2002), 68326);

    series1.add(new Day(25, MonthConstants.MARCH, 2002), 34340);
    series1.add(new Day(26, MonthConstants.MARCH, 2002), 104413);
    series1.add(new Day(27, MonthConstants.MARCH, 2002), 57277);
    series1.add(new Day(28, MonthConstants.MARCH, 2002), 69936);

    series1.add(new Day(1, MonthConstants.APRIL, 2002), 57282);
    series1.add(new Day(2, MonthConstants.APRIL, 2002), 74686);
    series1.add(new Day(3, MonthConstants.APRIL, 2002), 108601);
    series1.add(new Day(4, MonthConstants.APRIL, 2002), 123381);
    series1.add(new Day(5, MonthConstants.APRIL, 2002), 106691);

    series1.add(new Day(8, MonthConstants.APRIL, 2002), 118535);
    series1.add(new Day(9, MonthConstants.APRIL, 2002), 85577);
    series1.add(new Day(10, MonthConstants.APRIL, 2002), 75441);
    series1.add(new Day(11, MonthConstants.APRIL, 2002), 88845);
    series1.add(new Day(12, MonthConstants.APRIL, 2002), 137141);

    series1.add(new Day(15, MonthConstants.APRIL, 2002), 72518);
    series1.add(new Day(16, MonthConstants.APRIL, 2002), 122100);
    series1.add(new Day(17, MonthConstants.APRIL, 2002), 136419);
    series1.add(new Day(18, MonthConstants.APRIL, 2002), 141338);
    series1.add(new Day(19, MonthConstants.APRIL, 2002), 80274);

    series1.add(new Day(22, MonthConstants.APRIL, 2002), 40449);
    series1.add(new Day(23, MonthConstants.APRIL, 2002), 72292);
    series1.add(new Day(24, MonthConstants.APRIL, 2002), 110644);
    series1.add(new Day(25, MonthConstants.APRIL, 2002), 145142);
    series1.add(new Day(26, MonthConstants.APRIL, 2002), 139573);

    series1.add(new Day(29, MonthConstants.APRIL, 2002), 51509);
    series1.add(new Day(30, MonthConstants.APRIL, 2002), 105782);
    series1.add(new Day(1, MonthConstants.MAY, 2002), 170680);
    series1.add(new Day(2, MonthConstants.MAY, 2002), 140800);
    series1.add(new Day(3, MonthConstants.MAY, 2002), 170411);

    series1.add(new Day(6, MonthConstants.MAY, 2002), 46172);
    series1.add(new Day(7, MonthConstants.MAY, 2002), 137251);
    series1.add(new Day(8, MonthConstants.MAY, 2002), 220626);
    series1.add(new Day(9, MonthConstants.MAY, 2002), 175902);
    series1.add(new Day(10, MonthConstants.MAY, 2002), 128807);

    series1.add(new Day(13, MonthConstants.MAY, 2002), 78208);
    series1.add(new Day(14, MonthConstants.MAY, 2002), 212048);
    series1.add(new Day(15, MonthConstants.MAY, 2002), 145643);
    series1.add(new Day(16, MonthConstants.MAY, 2002), 121520);
    series1.add(new Day(17, MonthConstants.MAY, 2002), 147820);

    series1.add(new Day(20, MonthConstants.MAY, 2002), 75969);
    series1.add(new Day(21, MonthConstants.MAY, 2002), 118970);
    series1.add(new Day(22, MonthConstants.MAY, 2002), 131013);
    series1.add(new Day(23, MonthConstants.MAY, 2002), 141100);
    series1.add(new Day(24, MonthConstants.MAY, 2002), 63606);

    series1.add(new Day(28, MonthConstants.MAY, 2002), 78687);
    series1.add(new Day(29, MonthConstants.MAY, 2002), 86743);
    series1.add(new Day(30, MonthConstants.MAY, 2002), 164376);
    series1.add(new Day(31, MonthConstants.MAY, 2002), 150108);

    series1.add(new Day(3, MonthConstants.JUNE, 2002), 132363);
    series1.add(new Day(4, MonthConstants.JUNE, 2002), 144902);
    series1.add(new Day(5, MonthConstants.JUNE, 2002), 123834);
    series1.add(new Day(6, MonthConstants.JUNE, 2002), 125004);
    series1.add(new Day(7, MonthConstants.JUNE, 2002), 165049);

    series1.add(new Day(10, MonthConstants.JUNE, 2002), 88069);
    series1.add(new Day(11, MonthConstants.JUNE, 2002), 114146);
    series1.add(new Day(12, MonthConstants.JUNE, 2002), 149992);
    series1.add(new Day(13, MonthConstants.JUNE, 2002), 191261);
    series1.add(new Day(14, MonthConstants.JUNE, 2002), 207444);

    series1.add(new Day(17, MonthConstants.JUNE, 2002), 117081);
    series1.add(new Day(18, MonthConstants.JUNE, 2002), 135924);
    series1.add(new Day(19, MonthConstants.JUNE, 2002), 179654);
    series1.add(new Day(20, MonthConstants.JUNE, 2002), 260936);
    series1.add(new Day(21, MonthConstants.JUNE, 2002), 140283);

    series1.add(new Day(24, MonthConstants.JUNE, 2002), 199052);
    series1.add(new Day(25, MonthConstants.JUNE, 2002), 191804);
    series1.add(new Day(26, MonthConstants.JUNE, 2002), 384936);
    series1.add(new Day(27, MonthConstants.JUNE, 2002), 313065);
    series1.add(new Day(28, MonthConstants.JUNE, 2002), 169963);

    series1.add(new Day(1, MonthConstants.JULY, 2002), 109906);
    series1.add(new Day(2, MonthConstants.JULY, 2002), 140644);
    series1.add(new Day(3, MonthConstants.JULY, 2002), 150898);

    series1.add(new Day(5, MonthConstants.JULY, 2002), 181355);

    series1.add(new Day(8, MonthConstants.JULY, 2002), 155042);
    series1.add(new Day(9, MonthConstants.JULY, 2002), 204305);
    series1.add(new Day(10, MonthConstants.JULY, 2002), 300113);
    series1.add(new Day(11, MonthConstants.JULY, 2002), 338948);
    series1.add(new Day(12, MonthConstants.JULY, 2002), 281325);

    series1.add(new Day(15, MonthConstants.JULY, 2002), 256101);
    series1.add(new Day(16, MonthConstants.JULY, 2002), 348164);
    series1.add(new Day(17, MonthConstants.JULY, 2002), 242995);
    series1.add(new Day(18, MonthConstants.JULY, 2002), 200744);
    series1.add(new Day(19, MonthConstants.JULY, 2002), 181071);

    series1.add(new Day(22, MonthConstants.JULY, 2002), 163266);
    series1.add(new Day(23, MonthConstants.JULY, 2002), 188508);
    series1.add(new Day(24, MonthConstants.JULY, 2002), 308070);
    series1.add(new Day(25, MonthConstants.JULY, 2002), 230901);
    series1.add(new Day(26, MonthConstants.JULY, 2002), 162577);

    series1.add(new Day(29, MonthConstants.JULY, 2002), 216318);
    series1.add(new Day(30, MonthConstants.JULY, 2002), 280677);
    series1.add(new Day(31, MonthConstants.JULY, 2002), 260236);
    series1.add(new Day(1, MonthConstants.AUGUST, 2002), 242803);
    series1.add(new Day(2, MonthConstants.AUGUST, 2002), 298490);

    series1.add(new Day(5, MonthConstants.AUGUST, 2002), 182890);
    series1.add(new Day(6, MonthConstants.AUGUST, 2002), 232273);
    series1.add(new Day(7, MonthConstants.AUGUST, 2002), 253552);
    series1.add(new Day(8, MonthConstants.AUGUST, 2002), 165365);
    series1.add(new Day(9, MonthConstants.AUGUST, 2002), 160382);

    series1.add(new Day(12, MonthConstants.AUGUST, 2002), 118030);
    series1.add(new Day(13, MonthConstants.AUGUST, 2002), 208807);
    series1.add(new Day(14, MonthConstants.AUGUST, 2002), 231599);
    series1.add(new Day(15, MonthConstants.AUGUST, 2002), 343482);
    series1.add(new Day(16, MonthConstants.AUGUST, 2002), 186116);

    series1.add(new Day(19, MonthConstants.AUGUST, 2002), 96437);
    series1.add(new Day(20, MonthConstants.AUGUST, 2002), 151735);
    series1.add(new Day(21, MonthConstants.AUGUST, 2002), 167390);
    series1.add(new Day(22, MonthConstants.AUGUST, 2002), 127184);
    series1.add(new Day(23, MonthConstants.AUGUST, 2002), 80205);

    series1.add(new Day(26, MonthConstants.AUGUST, 2002), 79893);
    series1.add(new Day(27, MonthConstants.AUGUST, 2002), 201723);
    series1.add(new Day(28, MonthConstants.AUGUST, 2002), 114001);
    series1.add(new Day(29, MonthConstants.AUGUST, 2002), 188389);
    series1.add(new Day(30, MonthConstants.AUGUST, 2002), 162801);

    series1.add(new Day(3, MonthConstants.SEPTEMBER, 2002), 200951);
    series1.add(new Day(4, MonthConstants.SEPTEMBER, 2002), 129229);
    series1.add(new Day(5, MonthConstants.SEPTEMBER, 2002), 183348);
    series1.add(new Day(6, MonthConstants.SEPTEMBER, 2002), 216722);

    series1.add(new Day(9, MonthConstants.SEPTEMBER, 2002), 128575);
    series1.add(new Day(10, MonthConstants.SEPTEMBER, 2002), 224714);
    series1.add(new Day(11, MonthConstants.SEPTEMBER, 2002), 144224);
    series1.add(new Day(12, MonthConstants.SEPTEMBER, 2002), 195721);
    series1.add(new Day(13, MonthConstants.SEPTEMBER, 2002), 160724);

    series1.add(new Day(16, MonthConstants.SEPTEMBER, 2002), 65473);
    series1.add(new Day(17, MonthConstants.SEPTEMBER, 2002), 141274);
    series1.add(new Day(18, MonthConstants.SEPTEMBER, 2002), 115084);
    series1.add(new Day(19, MonthConstants.SEPTEMBER, 2002), 242106);
    series1.add(new Day(20, MonthConstants.SEPTEMBER, 2002), 130034);

    series1.add(new Day(23, MonthConstants.SEPTEMBER, 2002), 95215);
    series1.add(new Day(24, MonthConstants.SEPTEMBER, 2002), 229288);
    series1.add(new Day(25, MonthConstants.SEPTEMBER, 2002), 163672);
    series1.add(new Day(26, MonthConstants.SEPTEMBER, 2002), 193573);
    series1.add(new Day(27, MonthConstants.SEPTEMBER, 2002), 170741);

    series1.add(new Day(30, MonthConstants.SEPTEMBER, 2002), 199615);
    series1.add(new Day(1, MonthConstants.OCTOBER, 2002), 170771);
    series1.add(new Day(2, MonthConstants.OCTOBER, 2002), 138498);
    series1.add(new Day(3, MonthConstants.OCTOBER, 2002), 154774);
    series1.add(new Day(4, MonthConstants.OCTOBER, 2002), 287154);

    series1.add(new Day(7, MonthConstants.OCTOBER, 2002), 111762);
    series1.add(new Day(8, MonthConstants.OCTOBER, 2002), 172535);
    series1.add(new Day(9, MonthConstants.OCTOBER, 2002), 148339);
    series1.add(new Day(10, MonthConstants.OCTOBER, 2002), 178796);
    series1.add(new Day(11, MonthConstants.OCTOBER, 2002), 153499);

    series1.add(new Day(14, MonthConstants.OCTOBER, 2002), 4589);
    series1.add(new Day(15, MonthConstants.OCTOBER, 2002), 172088);
    series1.add(new Day(16, MonthConstants.OCTOBER, 2002), 151267);
    series1.add(new Day(17, MonthConstants.OCTOBER, 2002), 222680);
    series1.add(new Day(18, MonthConstants.OCTOBER, 2002), 127019);

    series1.add(new Day(21, MonthConstants.OCTOBER, 2002), 118226);
    series1.add(new Day(22, MonthConstants.OCTOBER, 2002), 183031);
    series1.add(new Day(23, MonthConstants.OCTOBER, 2002), 221005);
    series1.add(new Day(24, MonthConstants.OCTOBER, 2002), 121333);
    series1.add(new Day(25, MonthConstants.OCTOBER, 2002), 138179);

    series1.add(new Day(28, MonthConstants.OCTOBER, 2002), 162012);
    series1.add(new Day(29, MonthConstants.OCTOBER, 2002), 237355);
    series1.add(new Day(30, MonthConstants.OCTOBER, 2002), 161650);
    series1.add(new Day(31, MonthConstants.OCTOBER, 2002), 207569);

    return new TimeSeriesCollection(series1);

}

From source file:org.mwc.asset.netasset2.sensor2.VSensor.java

private void processThis(final DetectionEvent thisD) {
    // keep track of if we need to add the time series to the plot
    boolean addDataset = false;

    if (dataList == null) {
        dataList = new TimeSeriesCollection();
        addDataset = true;/*from   w ww .j  ava 2  s  .  c  o m*/
    }

    final String seriesId = "s" + thisD.getSensor() + "t" + thisD.getTarget();

    TimeSeries thisSeries = dataList.getSeries(seriesId);

    // keep track of if we should be adding this series to the dataset
    boolean seriesAddPending = false;

    if (thisSeries == null) {
        thisSeries = new TimeSeries(seriesId);
        // don't actually add the series until it contains some data
        seriesAddPending = true;
    }

    float bearing = thisD.getBearing();
    if (bearing < 0)
        bearing += 360;
    final long newTime = thisD.getTime();
    final FixedMillisecond time = new FixedMillisecond(newTime);

    try {
        thisSeries.add(time, bearing);
    } catch (final Exception e) {
        System.err.println("BUGGER");
    }

    if (seriesAddPending)
        dataList.addSeries(thisSeries);

    if (addDataset)
        _thePlot.setDataset(dataList);

}

From source file:graficoComparacion.graficaCompa.java

public void agregarGafica(String nombreDepor, String[] fecha1, double[] peso1) {
    pesos = new double[peso1.length];
    fecha = new String[fecha1.length];
    pesos = peso1;/*from   w  w w.  j a v  a 2s.co  m*/
    fecha = fecha1;
    ///////////////
    Date fechaDate = null;
    int n = pesos.length;
    /////
    TimeSeries miserie = new TimeSeries(nombreDepor);
    Calendar calendar = Calendar.getInstance();
    for (int i = 0; i < n; i++) {
        // JOptionPane.showMessageDialog(null, "fecha tio:"+fecha[i]);
        try { //JOptionPane.showMessageDialog(null, "fecha tio:"+fecha[i]);
            fechaDate = formato.parse(fecha[i]);
            calendar.setTime(fechaDate);
        } catch (ParseException ex) {
        }
        //  JOptionPane.showMessageDialog(null, calendar.get(Calendar.DAY_OF_MONTH)+" "+calendar.get(Calendar.MONTH)+1+" "+ calendar.get(Calendar.YEAR));
        miserie.add(new Day(calendar.get(Calendar.DAY_OF_MONTH), calendar.get(Calendar.MONTH) + 1,
                calendar.get(Calendar.YEAR)), pesos[i]);
    }
    datos.addSeries(miserie);
}

From source file:com.bdb.weather.display.summary.HighLowMedianTempPanel.java

/**
 * Load the data into the graph and the JTable.
 * //from w  w  w .jav a 2s .  com
 * @param summaryList The list of summary records to be loaded
 * @param lowDataset The graph's dataset that holds the low temperature values
 * @param highDataset The graph's dataset that holds the high temperature values
 * @param meanDataset The graph's dataset that holds the mean temperature values
 * @param tableModel The JTable model to be loaded
 * @param averagesCollection The averages to load into the graph and table
 */
private void loadDataSeries(List<SummaryRecord> summaryList, TimeSeriesCollection lowDataset,
        TimeSeriesCollection highDataset, TimeSeriesCollection meanDataset,
        WeatherAverages averagesCollection) {

    TimeSeries highSeries = new TimeSeries("High");
    TimeSeries lowSeries = new TimeSeries("Low");
    TimeSeries meanSeries = new TimeSeries("Mean");
    TimeSeries averageLowSeries = new TimeSeries("Average Low");
    TimeSeries averageHighSeries = new TimeSeries("Average High");
    TimeSeries averageMeanSeries = new TimeSeries("Average Mean");

    int n = 0;

    for (SummaryRecord r : summaryList) {
        //tableModel.setValueAt(dateFormat.format(r.getDate()), n, DATE_COLUMN);

        RegularTimePeriod p = RegularTimePeriod.createInstance(interval.getFreeChartClass(),
                TimeUtils.localDateTimeToDate(r.getDate().atStartOfDay()), TimeZone.getDefault());

        WeatherAverage averages = averagesCollection.getAverage(r.getDate());
        averageLowSeries.add(p, averages.getLowTemperature().get());
        averageHighSeries.add(p, averages.getHighTemperature().get());
        averageMeanSeries.add(p, averages.getMeanTemperature().get());
        //tableModel.setValueAt(averages.getHighTemperature().toString(), n, AVG_HIGH_TEMP_COLUMN);
        //tableModel.setValueAt(averages.getLowTemperature().toString(), n, AVG_LOW_TEMP_COLUMN);
        //tableModel.setValueAt(averages.getMeanTemperature().toString(), n, AVG_MEAN_TEMP_COLUMN);

        Temperature t = supporter.retrieveHighOutdoorTemperature(r);

        if (t != null) {
            highSeries.add(p, t.get());
            //tableModel.setValueAt(t.toString(), n, HIGH_TEMP_COLUMN);
        }

        t = supporter.retrieveLowOutdoorTemperature(r);

        if (t != null) {
            lowSeries.add(p, t.get());
            //tableModel.setValueAt(t.toString(), n, LOW_TEMP_COLUMN);
        }

        t = supporter.retrieveAvgOutdoorTemperature(r);

        if (t != null) {
            meanSeries.add(p, t.get());
            //tableModel.setValueAt(t.toString(), n, MEDIAN_TEMP_COLUMN);
        }

        n++;
    }

    highDataset.addSeries(highSeries);
    highDataset.addSeries(averageHighSeries);

    lowDataset.addSeries(lowSeries);
    lowDataset.addSeries(averageLowSeries);

    meanDataset.addSeries(meanSeries);
    meanDataset.addSeries(averageMeanSeries);

    diffRenderer.setSeriesPaint(ACTUAL_SERIES, Color.RED);
    diffRenderer.setSeriesPaint(AVERAGE_SERIES, Color.RED.darker());

    diffRenderer.setSeriesPaint(ACTUAL_SERIES, Color.BLUE);
    diffRenderer.setSeriesPaint(AVERAGE_SERIES, Color.BLUE.darker());

    diffRenderer.setSeriesPaint(ACTUAL_SERIES, Color.GREEN);
    diffRenderer.setSeriesPaint(AVERAGE_SERIES, Color.GREEN.darker());
}

From source file:gov.llnl.lc.infiniband.opensm.plugin.gui.chart.PortCounterPlotWorker.java

private XYDataset createRateDataset(OSM_FabricDeltaCollection deltaHistory, PortCounterName pcn,
        String seriesName) {/*  ww w.j av a2 s .  c  o  m*/
    TimeSeries series = new TimeSeries(seriesName);

    // iterate through the collection, and build up a time series
    for (int j = 0; j < deltaHistory.getSize(); j++) {
        OSM_FabricDelta delta = deltaHistory.getOSM_FabricDelta(j);

        // find the desired port counter, in this instance
        PFM_PortChange pC = delta.getPortChange(Port);
        long lValue = PFM_PortRate.getChangeRateLong(pC, pcn, PortCounterUnits.MEGABYTES);
        TimeStamp ts = pC.getCounterTimeStamp();

        RegularTimePeriod ms = new FixedMillisecond(ts.getTimeInMillis());
        series.add(ms, (double) lValue);
    }
    TimeSeriesCollection dataset = new TimeSeriesCollection();
    dataset.addSeries(series);

    return dataset;
}

From source file:gov.llnl.lc.infiniband.opensm.plugin.gui.chart.PortCounterPlotWorker.java

/**
 * Creates a sample dataset./* w w  w. ja v  a  2  s.com*/
 *
 * @param name  the dataset name.
 * @param base  the starting value.
 * @param start  the starting period.
 * @param count  the number of values to generate.
 *
 * @return The dataset.
 */
private XYDataset createDataset(OMS_Collection history) {
    TimeSeries TSeries = new TimeSeries("counts");
    // iterate through the collection, and build up a time series
    for (int j = 0; j < history.getSize(); j++) {
        OpenSmMonitorService osm = history.getOMS(j);

        // find the desired port counter, in this instance
        LinkedHashMap<String, OSM_Port> pL = osm.getFabric().getOSM_Ports();
        OSM_Port p = pL.get(OSM_Port.getOSM_PortKey(Port));
        long lValue = p.pfmPort.getCounter(PortCounter);
        TimeStamp ts = p.pfmPort.getCounterTimeStamp();

        RegularTimePeriod ms = new FixedMillisecond(ts.getTimeInMillis());
        TSeries.add(ms, (double) lValue);
    }
    TimeSeriesCollection dataset = new TimeSeriesCollection();
    dataset.addSeries(TSeries);

    return dataset;
}

From source file:org.geoserver.wms.ncwms.GetTimeSeriesResponse.java

@SuppressWarnings("rawtypes")
private void writeChart(GetFeatureInfoRequest request, FeatureCollectionType results, OutputStream output,
        String mimeType) throws IOException {
    final TimeSeries series = new TimeSeries("time", Millisecond.class);
    String valueAxisLabel = "Value";
    String title = "Time series";
    final String timeaxisLabel = "Date / time";

    final List collections = results.getFeature();
    if (collections.size() > 0) {
        SimpleFeatureCollection fc = (SimpleFeatureCollection) collections.get(0);
        title += " of " + fc.getSchema().getName().getLocalPart();
        valueAxisLabel = fc.getSchema().getDescription().toString();

        try (SimpleFeatureIterator fi = fc.features()) {
            while (fi.hasNext()) {
                SimpleFeature f = fi.next();
                Date date = (Date) f.getAttribute("date");
                Double value = (Double) f.getAttribute("value");
                series.add(new Millisecond(date), value);
            }/*  w  w  w  .j  a va 2  s.co  m*/
        }
    }
    XYDataset dataset = new TimeSeriesCollection(series);

    JFreeChart chart = ChartFactory.createTimeSeriesChart(title, timeaxisLabel, valueAxisLabel, dataset, false,
            false, false);
    XYPlot plot = (XYPlot) chart.getPlot();
    plot.setRenderer(new XYLineAndShapeRenderer());
    if (mimeType.startsWith("image/png")) {
        ChartUtilities.writeChartAsPNG(output, chart, IMAGE_WIDTH, IMAGE_HEIGHT);
    } else if (mimeType.equals("image/jpg") || mimeType.equals("image/jpeg")) {
        ChartUtilities.writeChartAsJPEG(output, chart, IMAGE_WIDTH, IMAGE_HEIGHT);
    }
}

From source file:name.wramner.jmstools.analyzer.DataProvider.java

/**
 * Get a base64-encoded image for inclusion in an img tag with a chart with message flight times.
 *
 * @return chart as base64 string.//from   www  .  j  ava 2s  . c o m
 */
public String getBase64EncodedFlightTimeMetricsImage() {
    TimeSeries timeSeries50p = new TimeSeries("Median");
    TimeSeries timeSeries95p = new TimeSeries("95 percentile");
    TimeSeries timeSeriesMax = new TimeSeries("Max");
    for (FlightTimeMetrics m : getFlightTimeMetrics()) {
        Minute minute = new Minute(m.getPeriod());
        timeSeries50p.add(minute, m.getMedian());
        timeSeries95p.add(minute, m.getPercentile95());
        timeSeriesMax.add(minute, m.getMax());
    }
    TimeSeriesCollection timeSeriesCollection = new TimeSeriesCollection(timeSeries50p);
    timeSeriesCollection.addSeries(timeSeries95p);
    timeSeriesCollection.addSeries(timeSeriesMax);
    ByteArrayOutputStream bos = new ByteArrayOutputStream();
    try {
        JFreeChart chart = ChartFactory.createTimeSeriesChart("Flight time", "Time", "ms",
                timeSeriesCollection);
        chart.getPlot().setBackgroundPaint(Color.WHITE);
        ChartUtilities.writeChartAsPNG(bos, chart, 1024, 500);
    } catch (IOException e) {
        throw new UncheckedIOException(e);
    }
    return "data:image/png;base64," + Base64.getEncoder().encodeToString(bos.toByteArray());
}

From source file:name.wramner.jmstools.analyzer.DataProvider.java

/**
 * Get a base64-encoded image for inclusion in an img tag with a chart with kilobytes per minute produced and
 * consumed.//  w w  w  . ja v a 2  s .co m
 *
 * @return chart as base64 string.
 */
public String getBase64BytesPerMinuteImage() {
    TimeSeries timeSeriesConsumed = new TimeSeries("Consumed");
    TimeSeries timeSeriesProduced = new TimeSeries("Produced");
    TimeSeries timeSeriesTotal = new TimeSeries("Total");
    for (PeriodMetrics m : getMessagesPerMinute()) {
        Minute minute = new Minute(m.getPeriodStart());
        timeSeriesConsumed.add(minute, m.getConsumedBytes() / 1024);
        timeSeriesProduced.add(minute, m.getProducedBytes() / 1024);
        timeSeriesTotal.add(minute, m.getTotalBytes() / 1024);
    }
    TimeSeriesCollection timeSeriesCollection = new TimeSeriesCollection(timeSeriesConsumed);
    timeSeriesCollection.addSeries(timeSeriesProduced);
    timeSeriesCollection.addSeries(timeSeriesTotal);
    ByteArrayOutputStream bos = new ByteArrayOutputStream();
    try {
        JFreeChart chart = ChartFactory.createTimeSeriesChart("Kilobytes per minute", "Time", "Bytes (k)",
                timeSeriesCollection);
        chart.getPlot().setBackgroundPaint(Color.WHITE);
        ChartUtilities.writeChartAsPNG(bos, chart, 1024, 500);
    } catch (IOException e) {
        throw new UncheckedIOException(e);
    }
    return "data:image/png;base64," + Base64.getEncoder().encodeToString(bos.toByteArray());
}

From source file:name.wramner.jmstools.analyzer.DataProvider.java

/**
 * Get a base64-encoded image for inclusion in an img tag with a chart with number of produced and consumed messages
 * per minute.//from   w w w . j  a  v  a2 s  . c  o  m
 *
 * @return chart as base64 string.
 */
public String getBase64MessagesPerMinuteImage() {
    TimeSeries timeSeriesConsumed = new TimeSeries("Consumed");
    TimeSeries timeSeriesProduced = new TimeSeries("Produced");
    TimeSeries timeSeriesTotal = new TimeSeries("Total");
    for (PeriodMetrics m : getMessagesPerMinute()) {
        Minute minute = new Minute(m.getPeriodStart());
        timeSeriesConsumed.add(minute, m.getConsumed());
        timeSeriesProduced.add(minute, m.getProduced());
        timeSeriesTotal.add(minute, m.getConsumed() + m.getProduced());
    }
    TimeSeriesCollection timeSeriesCollection = new TimeSeriesCollection(timeSeriesConsumed);
    timeSeriesCollection.addSeries(timeSeriesProduced);
    timeSeriesCollection.addSeries(timeSeriesTotal);
    ByteArrayOutputStream bos = new ByteArrayOutputStream();
    try {
        JFreeChart chart = ChartFactory.createTimeSeriesChart("Messages per minute", "Time", "Messages",
                timeSeriesCollection);
        chart.getPlot().setBackgroundPaint(Color.WHITE);
        ChartUtilities.writeChartAsPNG(bos, chart, 1024, 500);
    } catch (IOException e) {
        throw new UncheckedIOException(e);
    }
    return "data:image/png;base64," + Base64.getEncoder().encodeToString(bos.toByteArray());
}