public void stateChanged(ChangeEvent changeevent) {
int i = slider.getValue();
XYPlot xyplot = (XYPlot) chart.getPlot();
ValueAxis valueaxis = xyplot.getDomainAxis();
Range range = valueaxis.getRange();
double d = valueaxis.getLowerBound() + ((double) i / 100D) * range.getLength();
xyplot.setDomainCrosshairValue(d);
}
/**
* Handles a state change event.
*
* @param event the event.
*/
public void stateChanged(ChangeEvent event) {
int value = this.slider.getValue();
XYPlot plot = this.chart.getXYPlot();
ValueAxis domainAxis = plot.getDomainAxis();
Range range = domainAxis.getRange();
double c = domainAxis.getLowerBound() + (value / 100.0) * range.getLength();
plot.setDomainCrosshairValue(c);
}
/**
* Standard constructor: builds a property panel for the specified axis.
*
* @param axis the axis, which should be changed.
*/
public DefaultValueAxisEditor(ValueAxis axis) {
super(axis);
this.autoRange = axis.isAutoRange();
this.minimumValue = axis.getLowerBound();
this.maximumValue = axis.getUpperBound();
this.autoTickUnitSelection = axis.isAutoTickUnitSelection();
this.gridPaintSample = new PaintSample(Color.blue);
this.gridStrokeSample = new StrokeSample(new BasicStroke(1.0f));
this.availableStrokeSamples = new StrokeSample[3];
this.availableStrokeSamples[0] = new StrokeSample(new BasicStroke(1.0f));
this.availableStrokeSamples[1] = new StrokeSample(new BasicStroke(2.0f));
this.availableStrokeSamples[2] = new StrokeSample(new BasicStroke(3.0f));
JTabbedPane other = getOtherTabs();
JPanel range = new JPanel(new LCBLayout(3));
range.setBorder(BorderFactory.createEmptyBorder(4, 4, 4, 4));
range.add(new JPanel());
this.autoRangeCheckBox =
new JCheckBox(localizationResources.getString("Auto-adjust_range"), this.autoRange);
this.autoRangeCheckBox.setActionCommand("AutoRangeOnOff");
this.autoRangeCheckBox.addActionListener(this);
range.add(this.autoRangeCheckBox);
range.add(new JPanel());
range.add(new JLabel(localizationResources.getString("Minimum_range_value")));
this.minimumRangeValue = new JTextField(Double.toString(this.minimumValue));
this.minimumRangeValue.setEnabled(!this.autoRange);
this.minimumRangeValue.setActionCommand("MinimumRange");
this.minimumRangeValue.addActionListener(this);
this.minimumRangeValue.addFocusListener(this);
range.add(this.minimumRangeValue);
range.add(new JPanel());
range.add(new JLabel(localizationResources.getString("Maximum_range_value")));
this.maximumRangeValue = new JTextField(Double.toString(this.maximumValue));
this.maximumRangeValue.setEnabled(!this.autoRange);
this.maximumRangeValue.setActionCommand("MaximumRange");
this.maximumRangeValue.addActionListener(this);
this.maximumRangeValue.addFocusListener(this);
range.add(this.maximumRangeValue);
range.add(new JPanel());
other.add(localizationResources.getString("Range"), range);
other.add(localizationResources.getString("TickUnit"), createTickUnitPanel());
}
private void computeRegressionAndAcceptableDeviationData() {
acceptableDeviationDataset.removeAllSeries();
regressionDataset.removeAllSeries();
getPlot().removeAnnotation(r2Annotation);
if (computedDatas != null) {
final ValueAxis domainAxis = getPlot().getDomainAxis();
final double min = domainAxis.getLowerBound();
final double max = domainAxis.getUpperBound();
acceptableDeviationDataset.addSeries(computeAcceptableDeviationData(min, max));
if (scatterPlotModel.showRegressionLine) {
final XYIntervalSeries series = computeRegressionData(min, max);
if (series != null) {
regressionDataset.addSeries(series);
computeCoefficientOfDetermination();
}
}
}
}
/**
* Draws the visual representation of a single data item when the plot has a vertical orientation.
*
* @param g2 the graphics device.
* @param state the renderer state.
* @param dataArea the area within which the plot is being drawn.
* @param plot the plot (can be used to obtain standard color information etc).
* @param domainAxis the domain axis.
* @param rangeAxis the range axis.
* @param dataset the dataset (must be an instance of {@link BoxAndWhiskerCategoryDataset}).
* @param row the row index (zero-based).
* @param column the column index (zero-based).
*/
public void drawVerticalItem(
Graphics2D g2,
CategoryItemRendererState state,
Rectangle2D dataArea,
CategoryPlot plot,
CategoryAxis domainAxis,
ValueAxis rangeAxis,
CategoryDataset dataset,
int row,
int column) {
BoxAndWhiskerCategoryDataset bawDataset = (BoxAndWhiskerCategoryDataset) dataset;
double categoryEnd =
domainAxis.getCategoryEnd(column, getColumnCount(), dataArea, plot.getDomainAxisEdge());
double categoryStart =
domainAxis.getCategoryStart(column, getColumnCount(), dataArea, plot.getDomainAxisEdge());
double categoryWidth = categoryEnd - categoryStart;
double xx = categoryStart;
int seriesCount = getRowCount();
int categoryCount = getColumnCount();
if (seriesCount > 1) {
double seriesGap =
dataArea.getWidth() * getItemMargin() / (categoryCount * (seriesCount - 1));
double usedWidth = (state.getBarWidth() * seriesCount) + (seriesGap * (seriesCount - 1));
// offset the start of the boxes if the total width used is smaller
// than the category width
double offset = (categoryWidth - usedWidth) / 2;
xx = xx + offset + (row * (state.getBarWidth() + seriesGap));
} else {
// offset the start of the box if the box width is smaller than the
// category width
double offset = (categoryWidth - state.getBarWidth()) / 2;
xx = xx + offset;
}
double yyAverage = 0.0;
double yyOutlier;
Paint itemPaint = getItemPaint(row, column);
g2.setPaint(itemPaint);
Stroke s = getItemStroke(row, column);
g2.setStroke(s);
double aRadius = 0; // average radius
RectangleEdge location = plot.getRangeAxisEdge();
Number yQ1 = bawDataset.getQ1Value(row, column);
Number yQ3 = bawDataset.getQ3Value(row, column);
Number yMax = bawDataset.getMaxRegularValue(row, column);
Number yMin = bawDataset.getMinRegularValue(row, column);
Shape box = null;
if (yQ1 != null && yQ3 != null && yMax != null && yMin != null) {
double yyQ1 = rangeAxis.valueToJava2D(yQ1.doubleValue(), dataArea, location);
double yyQ3 = rangeAxis.valueToJava2D(yQ3.doubleValue(), dataArea, location);
double yyMax = rangeAxis.valueToJava2D(yMax.doubleValue(), dataArea, location);
double yyMin = rangeAxis.valueToJava2D(yMin.doubleValue(), dataArea, location);
double xxmid = xx + state.getBarWidth() / 2.0;
// draw the upper shadow...
g2.draw(new Line2D.Double(xxmid, yyMax, xxmid, yyQ3));
g2.draw(new Line2D.Double(xx, yyMax, xx + state.getBarWidth(), yyMax));
// draw the lower shadow...
g2.draw(new Line2D.Double(xxmid, yyMin, xxmid, yyQ1));
g2.draw(new Line2D.Double(xx, yyMin, xx + state.getBarWidth(), yyMin));
// draw the body...
box =
new Rectangle2D.Double(
xx, Math.min(yyQ1, yyQ3), state.getBarWidth(), Math.abs(yyQ1 - yyQ3));
if (this.fillBox) {
g2.fill(box);
}
g2.setStroke(getItemOutlineStroke(row, column));
g2.setPaint(getItemOutlinePaint(row, column));
g2.draw(box);
}
g2.setPaint(this.artifactPaint);
// draw mean - SPECIAL AIMS REQUIREMENT...
Number yMean = bawDataset.getMeanValue(row, column);
if (yMean != null) {
yyAverage = rangeAxis.valueToJava2D(yMean.doubleValue(), dataArea, location);
aRadius = state.getBarWidth() / 4;
// here we check that the average marker will in fact be visible
// before drawing it...
if ((yyAverage > (dataArea.getMinY() - aRadius))
&& (yyAverage < (dataArea.getMaxY() + aRadius))) {
Ellipse2D.Double avgEllipse =
new Ellipse2D.Double(xx + aRadius, yyAverage - aRadius, aRadius * 2, aRadius * 2);
g2.fill(avgEllipse);
g2.draw(avgEllipse);
}
}
// draw median...
Number yMedian = bawDataset.getMedianValue(row, column);
if (yMedian != null) {
double yyMedian = rangeAxis.valueToJava2D(yMedian.doubleValue(), dataArea, location);
g2.draw(new Line2D.Double(xx, yyMedian, xx + state.getBarWidth(), yyMedian));
}
// draw yOutliers...
double maxAxisValue =
rangeAxis.valueToJava2D(rangeAxis.getUpperBound(), dataArea, location) + aRadius;
double minAxisValue =
rangeAxis.valueToJava2D(rangeAxis.getLowerBound(), dataArea, location) - aRadius;
g2.setPaint(itemPaint);
// draw outliers
double oRadius = state.getBarWidth() / 3; // outlier radius
List outliers = new ArrayList();
OutlierListCollection outlierListCollection = new OutlierListCollection();
// From outlier array sort out which are outliers and put these into a
// list If there are any farouts, set the flag on the
// OutlierListCollection
List yOutliers = bawDataset.getOutliers(row, column);
if (yOutliers != null) {
for (int i = 0; i < yOutliers.size(); i++) {
double outlier = ((Number) yOutliers.get(i)).doubleValue();
Number minOutlier = bawDataset.getMinOutlier(row, column);
Number maxOutlier = bawDataset.getMaxOutlier(row, column);
Number minRegular = bawDataset.getMinRegularValue(row, column);
Number maxRegular = bawDataset.getMaxRegularValue(row, column);
if (outlier > maxOutlier.doubleValue()) {
outlierListCollection.setHighFarOut(true);
} else if (outlier < minOutlier.doubleValue()) {
outlierListCollection.setLowFarOut(true);
} else if (outlier > maxRegular.doubleValue()) {
yyOutlier = rangeAxis.valueToJava2D(outlier, dataArea, location);
outliers.add(new Outlier(xx + state.getBarWidth() / 2.0, yyOutlier, oRadius));
} else if (outlier < minRegular.doubleValue()) {
yyOutlier = rangeAxis.valueToJava2D(outlier, dataArea, location);
outliers.add(new Outlier(xx + state.getBarWidth() / 2.0, yyOutlier, oRadius));
}
Collections.sort(outliers);
}
// Process outliers. Each outlier is either added to the
// appropriate outlier list or a new outlier list is made
for (Iterator iterator = outliers.iterator(); iterator.hasNext(); ) {
Outlier outlier = (Outlier) iterator.next();
outlierListCollection.add(outlier);
}
for (Iterator iterator = outlierListCollection.iterator(); iterator.hasNext(); ) {
OutlierList list = (OutlierList) iterator.next();
Outlier outlier = list.getAveragedOutlier();
Point2D point = outlier.getPoint();
if (list.isMultiple()) {
drawMultipleEllipse(point, state.getBarWidth(), oRadius, g2);
} else {
drawEllipse(point, oRadius, g2);
}
}
// draw farout indicators
if (outlierListCollection.isHighFarOut()) {
drawHighFarOut(aRadius / 2.0, g2, xx + state.getBarWidth() / 2.0, maxAxisValue);
}
if (outlierListCollection.isLowFarOut()) {
drawLowFarOut(aRadius / 2.0, g2, xx + state.getBarWidth() / 2.0, minAxisValue);
}
}
// collect entity and tool tip information...
if (state.getInfo() != null && box != null) {
EntityCollection entities = state.getEntityCollection();
if (entities != null) {
addItemEntity(entities, dataset, row, column, box);
}
}
}
public void adjustComponents(ValueAxis axis, int numDecimalPlaces) {
adjustComponents(axis.getLowerBound(), axis.getUpperBound(), numDecimalPlaces);
}