本文整理汇总了Java中org.jfree.data.statistics.HistogramDataset.indexOf方法的典型用法代码示例。如果您正苦于以下问题：Java HistogramDataset.indexOf方法的具体用法？Java HistogramDataset.indexOf怎么用？Java HistogramDataset.indexOf使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.jfree.data.statistics.HistogramDataset的用法示例。
在下文中一共展示了HistogramDataset.indexOf方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: createCellFluorescencesHistogramDataset
import org.jfree.data.statistics.HistogramDataset; //导入方法依赖的package包/类
/**
* Creates the {@link HistogramDataset} that backs this fluorescence
* intensity distribution chart.
*
* Values are filter according to some rules (exclude 0.0 values and ignore
* nonexistent fluorescence intensities).
*
* @param cells
* a list of {@link Cell}s from which the fluorescence
* intensities are obtained
* @param channel
* the identifier of the fluorescence channel
* @return a {@link HistogramDataset} that can be used to create a
* {@link JFreeChart}
*/
private HistogramDataset createCellFluorescencesHistogramDataset(Collection<Cell> cells, String channel) {
logger.debug(String.format("Constructing fluorescence distribution for %s", channel));
final HistogramDataset dataset = new HistogramDataset();
Collection<Double> values = new LinkedList<Double>();
for(Cell cell : cells) {
Double fluorescenceValue = cell.getFluorescences().get(channel);
if (fluorescenceValue == null) {
fluorescenceValue = Cell.noFluorescence;
}
values.add(fluorescenceValue);
}
double[] datasetValues = ArrayUtils.toPrimitive(values.toArray(new Double[values.size()]));
// TODO remove hard coded zero filter (but non fluorescence data is zero at the moment)
// filter zeros
datasetValues = ComparableFilter.filter(datasetValues, 0.0);
// filter no set fluorescences
datasetValues = ComparableFilter.filter(datasetValues, Cell.noFluorescence);
if(values.size() > 0) {
String seriesKey = "Whole Population";
int binNumber = (int) Math.floor(Math.sqrt(datasetValues.length)); // #bins = sqrt(N)
dataset.addSeries(seriesKey, datasetValues, binNumber);
Comparable seriesIndex = dataset.indexOf(seriesKey);
Collection<Double> datasetValuesList = new ArrayList<Double>(Arrays.asList(ArrayUtils.toObject(datasetValues)));
getData().put(seriesIndex, datasetValuesList);
}
return dataset;
}
示例2: createCellAreaHistogramDataset
import org.jfree.data.statistics.HistogramDataset; //导入方法依赖的package包/类
/**
* TODO Documentation
*
* @param cells
* @return
*/
private HistogramDataset createCellAreaHistogramDataset(Collection<Cell> cells) {
final HistogramDataset dataset = new HistogramDataset();
Collection<Double> values = new LinkedList<Double>();
for(Cell cell : cells) {
Double areaValue = cell.getArea();
if (areaValue == null) {
areaValue = Cell.noArea;
}
values.add(areaValue);
}
double[] datasetValues = ArrayUtils.toPrimitive(values.toArray(new Double[values.size()]));
// Filter values
datasetValues = ComparableFilter.filter(datasetValues, Cell.noArea);
if(values.size() > 0) {
String seriesKey = "Whole Population";
int binNumber = (int) Math.floor(Math.sqrt(datasetValues.length)); // #bins = sqrt(N)
dataset.addSeries(seriesKey, datasetValues, binNumber);
Comparable seriesIndex = dataset.indexOf(seriesKey);
Collection<Double> datasetValuesList = new ArrayList<Double>(Arrays.asList(ArrayUtils.toObject(datasetValues)));
getData().put(seriesIndex, datasetValuesList);
}
return dataset;
}
示例3: createCellLengthHistogramDataset
import org.jfree.data.statistics.HistogramDataset; //导入方法依赖的package包/类
/**
* TODO Documentation
*
* @param cells
* @return
*/
private HistogramDataset createCellLengthHistogramDataset(Collection<Cell> cells) {
final HistogramDataset dataset = new HistogramDataset();
Collection<Double> values = new LinkedList<Double>();
for(Cell cell : cells) {
Double lengthValue = cell.getLength();
if (lengthValue == null) {
lengthValue = Cell.noLength;
}
values.add(lengthValue);
}
double[] datasetValues = ArrayUtils.toPrimitive(values.toArray(new Double[values.size()]));
// Filter data
datasetValues = ComparableFilter.filter(datasetValues, Cell.noLength);
if(values.size() > 0) {
String seriesKey = "Whole Population";
int binNumber = (int) Math.floor(Math.sqrt(datasetValues.length)); // #bins = sqrt(N)
dataset.addSeries(seriesKey, datasetValues, binNumber);
Comparable seriesIndex = dataset.indexOf(seriesKey);
Collection<Double> datasetValuesList = new ArrayList<Double>(Arrays.asList(ArrayUtils.toObject(datasetValues)));
getData().put(seriesIndex, datasetValuesList);
}
return dataset;
}