Examples of org.jfree.data.xy.XYSeries

org.jfree.data.xy.XYSeries
Represents a sequence of zero or more data items in the form (x, y). By default, items in the series will be sorted into ascending order by x-value, and duplicate x-values are permitted. Both the sorting and duplicate defaults can be changed in the constructor. Y-values can be null to represent missing values.

    for(Job job : jobs){
      if(!(job instanceof Shipment)){
        continue;
      }
      Shipment shipment = (Shipment)job;
      XYSeries shipmentSeries;
      if(first){
        first = false;
        shipmentSeries = new XYSeries(ship, false, true);
      }
      else{
        shipmentSeries = new XYSeries(sCounter, false, true);
        sCounter++;
      }
      shipmentSeries.add(shipment.getPickupCoord().getX()*scalingFactor, shipment.getPickupCoord().getY()*scalingFactor);
      shipmentSeries.add(shipment.getDeliveryCoord().getX()*scalingFactor, shipment.getDeliveryCoord().getY()*scalingFactor);
      coll.addSeries(shipmentSeries);
    }
    return coll;
  }

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    builder.append(")");
    return builder.toString();
  }


  private void retrieveActivities(VehicleRoutingProblem vrp) throws NoLocationFoundException{
    activities = new XYSeries("activities", false, true);
    for(Vehicle v : vrp.getVehicles()){
      Coordinate startCoord = v.getStartLocationCoordinate();
      if(startCoord == null) throw new NoLocationFoundException();
      XYDataItem item = new XYDataItem(startCoord.getX()*scalingFactor, startCoord.getY()*scalingFactor);
      markItem(item,Activity.START, null);

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            int pct_2 = -1;
            long comparisons = 0;
            int minOutlier = 0;  // we don't care about the outliers
            int maxOutlier = 0;  //
            
            XYSeries series = new XYSeries(ranks.get(i));
            
            for ( int c = 0; c< countArray.length; c++){
                if ( countArray[c] == 0 ) continue;
                comparisons += countArray[c];
                sum += countArray[c] * c;
                if ( c < min){
                    min = c;
                }
                if ( c > max){
                    max = c;
                }
            }
            
            // create series
            double cum = 0;
            for ( int c = 0; c< countArray.length; c++){
                if ( countArray[c] == 0 ) continue;
                cum += countArray[c];
                int pct = (int) Math.floor(100*cum/comparisons);
                series.add(c, pct);
                
                if ( pct_2 == -1 && pct >=5){
                    pct_2 = c;
                }
                if ( Q3 == -1 && pct >=25){
                    Q3 = c;
                } 
                if ( median == -1 && pct >=50){
                    median = c;
                } 
                if ( Q1 == -1 && pct >=75){
                    Q1 = c;
                }
                if ( pct_98 == -1 && pct >=98){
                    pct_98 = c;
                }
            }
            if ( !series.isEmpty()) {
                dataset.addSeries(series);
                
                BoxAndWhiskerItem item = new BoxAndWhiskerItem(sum/comparisons, median, Q1, Q3, pct_2, pct_98,  minOutlier,  maxOutlier, new ArrayList());
                scatterDataset.add(item, ranks.get(i), "");

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        BufferedReader reader = new BufferedReader(new FileReader(inFile));
        String line = reader.readLine();
        
        while ( (line = reader.readLine()) != null){
            String[] values = line.split("\\t");
            XYSeries series = new XYSeries(values[2]);
            dataset.addSeries(series);
                
            double average = Double.parseDouble(values[4]);
            int Q1 = Integer.parseInt(values[6]);;
            int median = Integer.parseInt(values[7]);

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    private CharSequence writeGraphStatistic(File solverStatisticFilesDirectory, String baseName) {
        XYSeriesCollection seriesCollection = new XYSeriesCollection();
        for (Map.Entry<String, BestScoreStatisticListener> listenerEntry : bestScoreStatisticListenerMap.entrySet()) {
            String configName = listenerEntry.getKey();
            XYSeries configSeries = new XYSeries(configName);
            List<BestScoreStatisticPoint> statisticPointList = listenerEntry.getValue()
                    .getBestScoreStatisticPointList();
            for (BestScoreStatisticPoint statisticPoint : statisticPointList) {
                long timeMillisSpend = statisticPoint.getTimeMillisSpend();
                Score score = statisticPoint.getScore();
                Double scoreGraphValue = scoreDefinition.translateScoreToGraphValue(score);
                if (scoreGraphValue != null) {
                    configSeries.add(timeMillisSpend, scoreGraphValue);
                }
            }
            seriesCollection.addSeries(configSeries);
        }
        NumberAxis xAxis = new NumberAxis("Time millis spend");

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                              double expectedMean,
                              double expectedStandardDeviation,
                              boolean discrete)
    {
        XYSeriesCollection dataSet = new XYSeriesCollection();
        XYSeries observedSeries = new XYSeries("Observed");
        dataSet.addSeries(observedSeries);
        XYSeries expectedSeries = new XYSeries("Expected");
        dataSet.addSeries(expectedSeries);


        for (Map.Entry<Double, Double> entry : observedValues.entrySet())
        {
            observedSeries.add(entry.getKey(), entry.getValue());
        }


        for (Map.Entry<Double, Double> entry : expectedValues.entrySet())
        {
            expectedSeries.add(entry.getKey(), entry.getValue());
        }




        JFreeChart chart = ChartFactory.createXYLineChart(title,
                                                          "Value",

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    private static Component getLevelChart() {


        DefaultTableXYDataset ds = new DefaultTableXYDataset();
        NumberAxis y = new NumberAxis("Y");


        XYSeries series;


        series = new XYSeries("BAR", false, false);
        series.add(0, 0);
        series.add(1, 56);
        series.add(2, 54);
        series.add(3, 40);
        series.add(4, 12);
        series.add(5, 5);
        series.add(6, 2);
        ds.addSeries(series);


        series = new XYSeries("FOO", false, false);
        series.add(0, 0);
        series.add(1, 66);
        series.add(2, 64);
        series.add(3, 50);
        series.add(4, 22);
        series.add(5, 15);
        series.add(6, 10);
        ds.addSeries(series);


        series = new XYSeries("SDF", false, false);
        series.add(0, 0);
        series.add(1, 76);
        series.add(2, 74);
        series.add(3, 60);
        series.add(4, 32);
        series.add(5, 25);
        series.add(6, 20);
        ds.addSeries(series);


        // Paint p = new Color(0, 0, 0, Color.OPAQUE);
        // r.setSeriesPaint(0, p);
        // BasicStroke s = new BasicStroke(2);
        // r.setSeriesStroke(0, s);


        DefaultTableXYDataset ds2 = new DefaultTableXYDataset();
        series = new XYSeries("DOO", false, false);
        series.add(1, 60);
        series.add(2, 64);
        series.add(3, 54);
        series.add(4, 30);
        series.add(5, 25);
        series.add(6, 15);
        ds2.addSeries(series);


        XYAreaRenderer r = new XYAreaRenderer(XYAreaRenderer.AREA_AND_SHAPES);


        XYPlot plot2 = new XYPlot(ds2, new NumberAxis("X"), y,

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    private static Component regressionChart() {


        DefaultTableXYDataset ds = new DefaultTableXYDataset();


        XYSeries series;


        series = new XYSeries("BAR", false, false);
        series.add(1, 1);
        series.add(2, 4);
        series.add(3, 6);
        series.add(4, 9);
        series.add(5, 9);
        series.add(6, 11);
        ds.addSeries(series);


        JFreeChart scatterPlot = ChartFactory.createScatterPlot("Regression",
                "X", "Y", ds, PlotOrientation.HORIZONTAL, true, false, false);

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        }
        XYSeriesCollection xyDataset = new XYSeriesCollection();
        for (int i = 0; i < getSeriesName().length; i++)
        {
          String s = getSeriesName()[i];
          XYSeries series = new XYSeries(s, true, true);
          xyDataset.addSeries(series);
          this.series.put(s, series);


        }
        this.xyDataset = xyDataset;
        //results.add(categoryDataset);
      }
      else
      {
        if (FunctionUtilities.isLayoutLevel(event))
        {
          // Activate the current group, which was filled in the prepare run.
          //currentIndex += 1;
          //categoryDataset = results.get(currentIndex);
        }
      }
    }
    else
    {
      // reset ...
      if (FunctionUtilities.isDefinedPrepareRunLevel(this, event))
      {
        if (LOG.isDebugEnabled())
        {
          LOG.debug("XYDataSetCollectorFunction.groupStarted ");//NON-NLS
        }
        XYSeriesCollection xyDataset = new XYSeriesCollection();
        for (int i = 0; i < getSeriesName().length; i++)
        {
          String s = getSeriesName()[i];
          XYSeries series = new XYSeries(s, true, true);
          xyDataset.addSeries(series);
          this.series.put(s, series);
        }
        this.xyDataset = xyDataset;
        //results.add(categoryDataset);

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        String sn = (String) seriesNames.get(i);
        final Object o = getDataRow().get(sn);
        if (o instanceof Number)
        {
          Number y = (Number) o;
          final XYSeries o1 = (XYSeries) series.get(sn);
          o1.add(x, y);
        }
      }
    }


  }

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