Package org.jfree.data.xy

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

200
201
202
203
204
205
206
207
208
209
210
      }


      //find series
      final XYIntervalSeries l_xyIntervalSeries;
      final int index = xyIntervalxySeriesDataset.indexOf(seriesName);
      if (index == -1)
      {
        l_xyIntervalSeries = new XYIntervalSeries(seriesName);
        xyIntervalxySeriesDataset.addSeries(l_xyIntervalSeries);
      }
View Full Code Here
111
112
113
114
115
116
117
118
119
120
121
    boolean hasConfidenceIntervals = false;
    for (int i = 0; i < targetNames.size(); i++) {
      String targetName = targetNames.get(i);
      List<NumericPrediction> predsForI = preds
          .getPredictionsForTarget(targetName);
      int predIndex = xyDataset.indexOf(targetName + "-predicted");
      int actualIndex = xyDataset.indexOf(targetName + "-actual");
      XYIntervalSeries predSeries = xyDataset.getSeries(predIndex);
      XYIntervalSeries actualSeries = xyDataset.getSeries(actualIndex);

      for (int j = 0; j < predsForI.size(); j++) {
View Full Code Here
112
113
114
115
116
117
118
119
120
121
122
    for (int i = 0; i < targetNames.size(); i++) {
      String targetName = targetNames.get(i);
      List<NumericPrediction> predsForI = preds
          .getPredictionsForTarget(targetName);
      int predIndex = xyDataset.indexOf(targetName + "-predicted");
      int actualIndex = xyDataset.indexOf(targetName + "-actual");
      XYIntervalSeries predSeries = xyDataset.getSeries(predIndex);
      XYIntervalSeries actualSeries = xyDataset.getSeries(actualIndex);

      for (int j = 0; j < predsForI.size(); j++) {
        double x = Utils.missingValue();
View Full Code Here
344
345
346
347
348
349
350
351
352
353
354
      String step = "-steps";
      if (i == 0) {
        step = "-step";
      }
      int predIndex = xyDataset.indexOf(targetName + "_" + (i + 1) + step
          + "-ahead");
      XYIntervalSeries predSeries = xyDataset.getSeries(predIndex);
      XYIntervalSeries actualSeries = null;
      if (!doneActual) {
        int actualIndex = xyDataset.indexOf(targetName);
View Full Code Here
349
350
351
352
353
354
355
356
357
358
359
      int predIndex = xyDataset.indexOf(targetName + "_" + (i + 1) + step
          + "-ahead");
      XYIntervalSeries predSeries = xyDataset.getSeries(predIndex);
      XYIntervalSeries actualSeries = null;
      if (!doneActual) {
        int actualIndex = xyDataset.indexOf(targetName);
        actualSeries = xyDataset.getSeries(actualIndex);
      }

      for (int j = 0; j < predsForTargetAtI.size(); j++) {
        double x = Utils.missingValue();
View Full Code Here
533
534
535
536
537
538
539
540
541
542
543
        for (String targetName : targetNames) {
          int dataIndex = history.attribute(targetName.trim()).index();

          if (dataIndex >= 0) {
            XYIntervalSeries actualSeries = null;
            int actualIndex = xyDataset.indexOf(targetName);
            actualSeries = xyDataset.getSeries(actualIndex);
            double x = Utils.missingValue();

            if (timeAxisIsDate) {
              x = current.value(timeIndex);
View Full Code Here
585
586
587
588
589
590
591
592
593
594
595
        int predIndex = forecasterTargets.indexOf(targetName.trim());
        if (predIndex >= 0) {
          NumericPrediction predsForTargetAtStepJ = predsForStepJ
              .get(predIndex);
          XYIntervalSeries predSeries = null;
          int datasetIndex = xyDataset.indexOf(targetName + "-predicted");
          predSeries = xyDataset.getSeries(datasetIndex);

          if (predSeries != null) {
            double y = predsForTargetAtStepJ.predicted();
            double x = Utils.missingValue();
View Full Code Here
643
644
645
646
647
648
649
650
651
652
653
    XYPlot plot = new XYPlot(xyDataset, timeAxis, valueAxis, renderer);
    // renderer = (XYErrorRenderer)plot.getRenderer();
    if (history != null) {
      for (String targetName : targetNames) {
        XYIntervalSeries predSeries = null;
        int predIndex = xyDataset.indexOf(targetName + "-predicted");
        predSeries = xyDataset.getSeries(predIndex);

        XYIntervalSeries actualSeries = null;
        int actualIndex = xyDataset.indexOf(targetName);
        actualSeries = xyDataset.getSeries(actualIndex);
View Full Code Here
647
648
649
650
651
652
653
654
655
656
657
        XYIntervalSeries predSeries = null;
        int predIndex = xyDataset.indexOf(targetName + "-predicted");
        predSeries = xyDataset.getSeries(predIndex);

        XYIntervalSeries actualSeries = null;
        int actualIndex = xyDataset.indexOf(targetName);
        actualSeries = xyDataset.getSeries(actualIndex);

        if (actualSeries != null && predSeries != null) {
          // match the color of the actual series
          java.awt.Paint actualPaint = renderer.lookupSeriesPaint(actualIndex);
View Full Code Here
210
211
212
213
214
215
216
217
218
219
220
      }


      //find series
      final XYIntervalSeries xyIntervalSeries;
      final int index = xyIntervalxySeriesDataset.indexOf(seriesName);
      if (index == -1)
      {
        xyIntervalSeries = new XYIntervalSeries(seriesName);
        xyIntervalxySeriesDataset.addSeries(xyIntervalSeries);
      }
View Full Code Here
TOP
Copyright © 2018 www.massapi.com. All rights reserved.
All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.