本文整理了Java中org.jfree.data.xy.XYIntervalSeries.add()方法的一些代码示例，展示了XYIntervalSeries.add()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。XYIntervalSeries.add()方法的具体详情如下：
包路径：org.jfree.data.xy.XYIntervalSeries
类名称：XYIntervalSeries
方法名：add

XYIntervalSeries.add介绍

[英]Adds a data item to the series and sends a SeriesChangeEvent to all registered listeners.
[中]向序列中添加数据项，并向所有注册的侦听器发送SeriesChangeEvent。

代码示例

代码示例来源：origin: kiegroup/optaplanner

double yValue = levelValues[i];
series.add(timeMillisSpent, timeMillisSpent, timeMillisSpent,
    yValue, (yValue > 0.0) ? 0.0 : yValue, (yValue > 0.0) ? yValue : 0.0);

代码示例来源：origin: kiegroup/optaplanner

double yValue = levelValues[i];
series.add(timeMillisSpent, timeMillisSpent, timeMillisSpent,
    yValue, (yValue > 0.0) ? 0.0 : yValue, (yValue > 0.0) ? yValue : 0.0);

代码示例来源：origin: kiegroup/optaplanner

double yValue = mutationCount;
series.add(timeMillisSpent, timeMillisSpent, timeMillisSpent,
    yValue, (yValue > 0.0) ? 0.0 : yValue, (yValue > 0.0) ? yValue : 0.0);

代码示例来源：origin: jfree/jfreechart

/**
 * Adds a data item to the series and sends a {@link SeriesChangeEvent} to 
 * all registered listeners.
 *
 * @param x  the x-value.
 * @param xLow  the lower bound of the x-interval.
 * @param xHigh  the upper bound of the x-interval.
 * @param y  the y-value.
 * @param yLow  the lower bound of the y-interval.
 * @param yHigh  the upper bound of the y-interval.
 */
public void add(double x, double xLow, double xHigh, double y, double yLow,
    double yHigh) {
  add(new XYIntervalDataItem(x, xLow, xHigh, y, yLow, yHigh), true);
}

代码示例来源：origin: org.openfuxml/ofx-wiki

double maxY = getChartValue(sbXpDataSet.toString(), "maxY", doc);
series.add(X,X-3,X+3,minY,minY,maxY);

代码示例来源：origin: bcdev/beam

private XYIntervalSeries computeAcceptableDeviationData(double lowerBound, double upperBound) {
  final Function2D identityFunction = new Function2D() {
    @Override
    public double getValue(double x) {
      return x;
    }
  };
  final XYSeries identity = DatasetUtilities.sampleFunction2DToSeries(identityFunction, lowerBound, upperBound,
                                    100, "1:1 line");
  final XYIntervalSeries xyIntervalSeries = new XYIntervalSeries(identity.getKey());
  final List<XYDataItem> items = identity.getItems();
  for (XYDataItem item : items) {
    final double x = item.getXValue();
    final double y = item.getYValue();
    if (scatterPlotModel.showAcceptableDeviation) {
      final double acceptableDeviation = scatterPlotModel.acceptableDeviationInterval;
      final double xOff = acceptableDeviation * x / 100;
      final double yOff = acceptableDeviation * y / 100;
      xyIntervalSeries.add(x, x - xOff, x + xOff, y, y - yOff, y + yOff);
    } else {
      xyIntervalSeries.add(x, x, x, y, y, y);
    }
  }
  return xyIntervalSeries;
}

代码示例来源：origin: senbox-org/snap-desktop

private XYIntervalSeries computeAcceptableDeviationData(double lowerBound, double upperBound) {
  final XYSeries identity = DatasetUtilities.sampleFunction2DToSeries(x -> x, lowerBound, upperBound, 100, "1:1 line");
  final XYIntervalSeries xyIntervalSeries = new XYIntervalSeries(identity.getKey());
  for (int i = 0; i < identity.getItemCount(); i++) {
    XYDataItem item = identity.getDataItem(i);
    final double x = item.getXValue();
    final double y = item.getYValue();
    if (scatterPlotModel.showAcceptableDeviation) {
      final double acceptableDeviation = scatterPlotModel.acceptableDeviationInterval;
      final double xOff = acceptableDeviation * x / 100;
      final double yOff = acceptableDeviation * y / 100;
      xyIntervalSeries.add(x, x - xOff, x + xOff, y, y - yOff, y + yOff);
    } else {
      xyIntervalSeries.add(x, x, x, y, y, y);
    }
  }
  return xyIntervalSeries;
}

代码示例来源：origin: org.codehaus.jtstand/jtstand-ui

if (population[i] != 0) {
  pop.add(midValue(i), leftValue(i), rightValue(i), population[i], prev[i], prev[i] + population[i]);
  prev[i] = prev[i] + population[i];
if (population[i] != 0) {
  pop.add(midValue(i), leftValue(i), rightValue(i), population[i], prev[i], prev[i] + population[i]);
  prev[i] = prev[i] + population[i];

代码示例来源：origin: bcdev/beam

private XYIntervalSeries computeRegressionData(double xStart, double xEnd) {
  if (scatterpointsDataset.getItemCount(0) > 1) {
    final double[] coefficients = Regression.getOLSRegression(scatterpointsDataset, 0);
    final Function2D curve = new LineFunction2D(coefficients[0], coefficients[1]);
    final XYSeries regressionData = DatasetUtilities.sampleFunction2DToSeries(
        curve, xStart, xEnd, 100, "regression line");
    final XYIntervalSeries xyIntervalRegression = new XYIntervalSeries(regressionData.getKey());
    final List<XYDataItem> regressionDataItems = regressionData.getItems();
    for (XYDataItem item : regressionDataItems) {
      final double x = item.getXValue();
      final double y = item.getYValue();
      xyIntervalRegression.add(x, x, x, y, y, y);
    }
    return xyIntervalRegression;
  } else {
    JOptionPane.showMessageDialog(this, "Unable to compute regression line.\n" +
                      "At least 2 values are needed to compute regression coefficients.");
    return null;
  }
}

代码示例来源：origin: bcdev/beam

final float y = sampleValues[x];
final float dy = sampleSigmas[x];
series.add(x, x - dx, x + dx, y, y - dy, y + dy);
        final double x = shapeVertexIndexes[i];
        final double y = attribute.doubleValue();
        corrSeries.add(x, x, x, y, y, y);

代码示例来源：origin: senbox-org/snap-desktop

final float y = sampleValues[x];
final float dy = sampleSigmas[x];
series.add(x, x - dx, x + dx, y, y - dy, y + dy);
        final double x = shapeVertexIndexes[i];
        final double y = attribute.doubleValue();
        corrSeries.add(x, x, x, y, y, y);

代码示例来源：origin: senbox-org/snap-desktop

private XYIntervalSeries computeRegressionData(double xStart, double xEnd) {
  if (scatterpointsDataset.getItemCount(0) > 1) {
    final double[] coefficients = Regression.getOLSRegression(scatterpointsDataset, 0);
    final Function2D curve = new LineFunction2D(coefficients[0], coefficients[1]);
    final XYSeries regressionData = DatasetUtilities.sampleFunction2DToSeries(curve, xStart, xEnd, 100, "regression line");
    final XYIntervalSeries xyIntervalRegression = new XYIntervalSeries(regressionData.getKey());
    for (int i = 0; i < regressionData.getItemCount(); i++) {
      XYDataItem item = regressionData.getDataItem(i);
      final double x = item.getXValue();
      final double y = item.getYValue();
      xyIntervalRegression.add(x, x, x, y, y, y);
    }
    return xyIntervalRegression;
  } else {
    Dialogs.showInformation("Unable to compute regression line.\n" +
                    "At least 2 values are needed to compute regression coefficients.");
    return null;
  }
}

代码示例来源：origin: bcdev/beam

final float rasterSigma = computedData.rasterSigma;
final float correlativeData = computedData.correlativeData;
scatterValues.add(correlativeData, correlativeData, correlativeData,
         rasterMean, rasterMean - rasterSigma, rasterMean + rasterSigma);

代码示例来源：origin: senbox-org/snap-desktop

final float rasterSigma = computedData.rasterSigma;
final float correlativeData = computedData.correlativeData;
scatterValues.add(correlativeData, correlativeData, correlativeData,
         rasterMean, rasterMean - rasterSigma, rasterMean + rasterSigma);