Examples of org.jfree.data.xy.XYIntervalSeriesCollection.addSeries()

Class org.jfree.data.xy.XYIntervalSeriesCollection

Examples of org.jfree.data.xy.XYIntervalSeriesCollection.addSeries()

org.jfree.data.xy.XYIntervalSeriesCollection.addSeries()
Adds a series to the collection and sends a {@link DatasetChangeEvent}to all registered listeners. @param series the series (null not permitted).

      final XYIntervalSeries l_xyIntervalSeries;
      final int index = xyIntervalxySeriesDataset.indexOf(seriesName);
      if (index == -1)
      {
        l_xyIntervalSeries = new XYIntervalSeries(seriesName);
        xyIntervalxySeriesDataset.addSeries(l_xyIntervalSeries);
      }
      else
      {
        l_xyIntervalSeries = xyIntervalxySeriesDataset.getSeries(index);
      }

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    // set up a collection of predicted and actual series
    XYIntervalSeriesCollection xyDataset = new XYIntervalSeriesCollection();
    for (String target : targetNames) {
      XYIntervalSeries targetSeries = new XYIntervalSeries(target + "-actual",
          false, false);
      xyDataset.addSeries(targetSeries);
      targetSeries = new XYIntervalSeries(target + "-predicted", false, false);
      xyDataset.addSeries(targetSeries);


    }

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    for (String target : targetNames) {
      XYIntervalSeries targetSeries = new XYIntervalSeries(target + "-actual",
          false, false);
      xyDataset.addSeries(targetSeries);
      targetSeries = new XYIntervalSeries(target + "-predicted", false, false);
      xyDataset.addSeries(targetSeries);


    }


    ValueAxis timeAxis = null;
    NumberAxis valueAxis = new NumberAxis("");

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    // set up a collection of predicted series
    XYIntervalSeriesCollection xyDataset = new XYIntervalSeriesCollection();


    XYIntervalSeries targetSeries = new XYIntervalSeries(targetName, false,
        false);
    xyDataset.addSeries(targetSeries);
    // for (int i = 0; i < preds.size(); i++) {
    for (int z = 0; z < stepsToPlot.size(); z++) {
      int i = stepsToPlot.get(z);
      i--;
      // ignore out of range steps

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      if (i == 0) {
        step = "-step";
      }
      targetSeries = new XYIntervalSeries(targetName + "_" + (i + 1) + step
          + "-ahead", false, false);
      xyDataset.addSeries(targetSeries);
    }


    ValueAxis timeAxis = null;
    NumberAxis valueAxis = new NumberAxis("");
    valueAxis.setAutoRangeIncludesZero(false);

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    if (history != null) {
      // add actual historical data values
      for (String targetName : targetNames) {
        XYIntervalSeries targetSeries = new XYIntervalSeries(targetName, false,
            false);
        xyDataset.addSeries(targetSeries);
      }
    }


    // add predicted series
    for (String targetName : targetNames) {

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    // add predicted series
    for (String targetName : targetNames) {
      XYIntervalSeries targetSeries = new XYIntervalSeries(targetName
          + "-predicted", false, false);
      xyDataset.addSeries(targetSeries);
    }


    ValueAxis timeAxis = null;
    NumberAxis valueAxis = new NumberAxis("");
    valueAxis.setAutoRangeIncludesZero(false);

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      final XYIntervalSeries xyIntervalSeries;
      final int index = xyIntervalxySeriesDataset.indexOf(seriesName);
      if (index == -1)
      {
        xyIntervalSeries = new XYIntervalSeries(seriesName);
        xyIntervalxySeriesDataset.addSeries(xyIntervalSeries);
      }
      else
      {
        xyIntervalSeries = xyIntervalxySeriesDataset.getSeries(index);
      }

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        ExceptionSeries exceptions = new ExceptionSeries();


        addTimeLogEntries(process, series, timeLogEntries, gaps, exceptions);


        for (PhaseSeries ps : series.values())
            result.addSeries(ps);
        result.addSeries(exceptions);


        return result;
    }

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        addTimeLogEntries(process, series, timeLogEntries, gaps, exceptions);


        for (PhaseSeries ps : series.values())
            result.addSeries(ps);
        result.addSeries(exceptions);


        return result;
    }

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