List of usage examples for org.jfree.data Range Range
public Range(double lower, double upper)
From source file:net.sf.maltcms.chromaui.charts.FastHeatMapPlot.java
private void createImage(Graphics2D g2, Rectangle2D dataArea, PlotRenderingInfo info, CrosshairState crosshairState) { //System.out.println("Creating image! - new"); BufferedImage bi = createCompatibleImage(this.width, this.height, BufferedImage.TRANSLUCENT); float alpha = getDatasetCount() == 1 ? 1.0f : 1.0f / (float) getDatasetCount(); for (int i = 0; i < getDatasetCount(); i++) { XYBlockRenderer xybr = (XYBlockRenderer) getRenderer(i); // System.out.println("alpha in plot " + ((GradientPaintScale) xybr.getPaintScale()).getAlpha()); // System.out.println("beta in plot " + ((GradientPaintScale) xybr.getPaintScale()).getBeta()); //((GradientPaintScale) xybr.getPaintScale()).setAlphaBeta(0, 1); // System.out.println("ramp in plot " + Arrays.deepToString(((GradientPaintScale) xybr.getPaintScale()).getRamp())); XYZDataset xyzd = (XYZDataset) getDataset(i); BufferedImage bi2 = prepareData(xyzd, this.width, this.height, xybr, g2, dataArea, info, null); Graphics2D gg2 = bi.createGraphics(); gg2.setComposite(AlphaComposite.getInstance(AlphaComposite.SRC_OVER, alpha)); gg2.drawImage(bi2, 0, 0, null);/* w ww.j a v a2s.c o m*/ } setDataImage(bi, new Range(0, this.width - 1), new Range(0, this.height - 1)); }
From source file:org.esa.snap.rcp.statistics.ScatterPlotPanel.java
private void compute(final Mask selectedMask) { final RasterDataNode raster = getRaster(); final AttributeDescriptor dataField = scatterPlotModel.dataField; if (raster == null || dataField == null) { return;//from w w w .ja v a2 s .c o m } SwingWorker<ComputedData[], Object> swingWorker = new SwingWorker<ComputedData[], Object>() { @Override protected ComputedData[] doInBackground() throws Exception { SystemUtils.LOG.finest("start computing scatter plot data"); final List<ComputedData> computedDataList = new ArrayList<>(); final FeatureCollection<SimpleFeatureType, SimpleFeature> collection = scatterPlotModel.pointDataSource .getFeatureCollection(); final SimpleFeature[] features = collection.toArray(new SimpleFeature[collection.size()]); final int boxSize = scatterPlotModel.boxSize; final Rectangle sceneRect = new Rectangle(raster.getRasterWidth(), raster.getRasterHeight()); final GeoCoding geoCoding = raster.getGeoCoding(); final AffineTransform imageToModelTransform; imageToModelTransform = Product.findImageToModelTransform(geoCoding); for (SimpleFeature feature : features) { final Point point = (Point) feature.getDefaultGeometryProperty().getValue(); Point2D modelPos = new Point2D.Float((float) point.getX(), (float) point.getY()); final Point2D imagePos = imageToModelTransform.inverseTransform(modelPos, null); if (!sceneRect.contains(imagePos)) { continue; } final float imagePosX = (float) imagePos.getX(); final float imagePosY = (float) imagePos.getY(); final Rectangle imageRect = sceneRect.intersection(new Rectangle( ((int) imagePosX) - boxSize / 2, ((int) imagePosY) - boxSize / 2, boxSize, boxSize)); if (imageRect.isEmpty()) { continue; } final double[] rasterValues = new double[imageRect.width * imageRect.height]; raster.readPixels(imageRect.x, imageRect.y, imageRect.width, imageRect.height, rasterValues); final int[] maskBuffer = new int[imageRect.width * imageRect.height]; Arrays.fill(maskBuffer, 1); if (selectedMask != null) { selectedMask.readPixels(imageRect.x, imageRect.y, imageRect.width, imageRect.height, maskBuffer); } final int centerIndex = imageRect.width * (imageRect.height / 2) + (imageRect.width / 2); if (maskBuffer[centerIndex] == 0) { continue; } double sum = 0; double sumSqr = 0; int n = 0; boolean valid = false; for (int y = 0; y < imageRect.height; y++) { for (int x = 0; x < imageRect.width; x++) { final int index = y * imageRect.height + x; if (raster.isPixelValid(x + imageRect.x, y + imageRect.y) && maskBuffer[index] != 0) { final double rasterValue = rasterValues[index]; sum += rasterValue; sumSqr += rasterValue * rasterValue; n++; valid = true; } } } if (!valid) { continue; } double rasterMean = sum / n; double rasterSigma = n > 1 ? Math.sqrt((sumSqr - (sum * sum) / n) / (n - 1)) : 0.0; String localName = dataField.getLocalName(); Number attribute = (Number) feature.getAttribute(localName); final Collection<org.opengis.feature.Property> featureProperties = feature.getProperties(); final float correlativeData = attribute.floatValue(); final GeoPos geoPos = new GeoPos(); if (geoCoding.canGetGeoPos()) { final PixelPos pixelPos = new PixelPos(imagePosX, imagePosY); geoCoding.getGeoPos(pixelPos, geoPos); } else { geoPos.setInvalid(); } computedDataList.add( new ComputedData(imagePosX, imagePosY, (float) geoPos.getLat(), (float) geoPos.getLon(), (float) rasterMean, (float) rasterSigma, correlativeData, featureProperties)); } return computedDataList.toArray(new ComputedData[computedDataList.size()]); } @Override public void done() { try { final ValueAxis xAxis = getPlot().getDomainAxis(); final ValueAxis yAxis = getPlot().getRangeAxis(); xAxis.setAutoRange(false); yAxis.setAutoRange(false); scatterpointsDataset.removeAllSeries(); acceptableDeviationDataset.removeAllSeries(); regressionDataset.removeAllSeries(); getPlot().removeAnnotation(r2Annotation); computedDatas = null; final ComputedData[] data = get(); if (data.length == 0) { return; } computedDatas = data; final XYIntervalSeries scatterValues = new XYIntervalSeries(getCorrelativeDataName()); for (ComputedData computedData : computedDatas) { final float rasterMean = computedData.rasterMean; final float rasterSigma = computedData.rasterSigma; final float correlativeData = computedData.correlativeData; scatterValues.add(correlativeData, correlativeData, correlativeData, rasterMean, rasterMean - rasterSigma, rasterMean + rasterSigma); } computingData = true; scatterpointsDataset.addSeries(scatterValues); xAxis.setAutoRange(true); yAxis.setAutoRange(true); xAxis.setAutoRange(false); yAxis.setAutoRange(false); xAutoRangeAxisRange = new Range(xAxis.getLowerBound(), xAxis.getUpperBound()); yAutoRangeAxisRange = new Range(yAxis.getLowerBound(), yAxis.getUpperBound()); if (xAxisRangeControl.isAutoMinMax()) { xAxisRangeControl.adjustComponents(xAxis, 3); } else { xAxisRangeControl.adjustAxis(xAxis, 3); } if (yAxisRangeControl.isAutoMinMax()) { yAxisRangeControl.adjustComponents(yAxis, 3); } else { yAxisRangeControl.adjustAxis(yAxis, 3); } computeRegressionAndAcceptableDeviationData(); computingData = false; } catch (InterruptedException | CancellationException e) { SystemUtils.LOG.log(Level.WARNING, "Failed to compute correlative plot.", e); Dialogs.showMessage(CHART_TITLE, "Failed to compute correlative plot.\n" + "Calculation canceled.", JOptionPane.ERROR_MESSAGE, null); } catch (ExecutionException e) { SystemUtils.LOG.log(Level.WARNING, "Failed to compute correlative plot.", e); Dialogs.showMessage(CHART_TITLE, "Failed to compute correlative plot.\n" + "An error occurred:\n" + e.getCause().getMessage(), JOptionPane.ERROR_MESSAGE, null); } } }; swingWorker.execute(); }
From source file:org.jfree.data.time.TimeSeriesTest.java
@Test public void testFindValueRange() { TimeSeries ts = new TimeSeries("Time Series"); assertNull(ts.findValueRange());/*from ww w . jav a 2 s . com*/ ts.add(new Year(2014), 1.0); assertEquals(new Range(1.0, 1.0), ts.findValueRange()); ts.add(new Year(2015), 2.0); assertEquals(new Range(1.0, 2.0), ts.findValueRange()); // null items are ignored ts.add(new Year(2016), null); assertEquals(new Range(1.0, 2.0), ts.findValueRange()); ts.clear(); assertNull(ts.findValueRange()); // if there are only null items, we get a NaNRange ts.add(new Year(2014), null); assertTrue(ts.findValueRange().isNaNRange()); }
From source file:org.eurocarbdb.application.glycoworkbench.plugin.SpectraPanel.java
public void mouseDragged(MouseEvent e) { if (mouse_start_point != null && theDocument.getNoScans() > 0) { if (is_moving) { // moving double mz_delta = screenToDataX(mouse_start_point.getX() - e.getPoint().getX()); if (mz_delta > 0.) { double old_upper_bound = thePlot.getDomainAxis().getUpperBound(); double old_lower_bound = thePlot.getDomainAxis().getLowerBound(); double new_upper_bound = Math.min(old_upper_bound + mz_delta, theDocument.getPeakDataAt(current_ind).getMaxMZ()); double new_lower_bound = old_lower_bound + new_upper_bound - old_upper_bound; thePlot.getDomainAxis().setRange(new Range(new_lower_bound, new_upper_bound)); } else { double old_upper_bound = thePlot.getDomainAxis().getUpperBound(); double old_lower_bound = thePlot.getDomainAxis().getLowerBound(); double new_lower_bound = Math.max(old_lower_bound + mz_delta, theDocument.getPeakDataAt(current_ind).getMinMZ()); double new_upper_bound = old_upper_bound + new_lower_bound - old_lower_bound; thePlot.getDomainAxis().setRange(new Range(new_lower_bound, new_upper_bound)); }/*from www. java 2s .co m*/ mouse_start_point = e.getPoint(); } else { // zooming Graphics2D g2 = (Graphics2D) theChartPanel.getGraphics(); g2.setXORMode(java.awt.Color.gray); // delete old rectangle if (zoom_rectangle != null) g2.draw(zoom_rectangle); // create new rectangle double start_x = Math.min(e.getX(), mouse_start_point.getX()); double end_x = Math.max(e.getX(), mouse_start_point.getX()); Rectangle2D data_area = theChartPanel.getScreenDataArea((int) start_x, (int) mouse_start_point.getY()); double xmax = Math.min(end_x, data_area.getMaxX()); zoom_rectangle = new Rectangle2D.Double(start_x, data_area.getMinY(), xmax - start_x, data_area.getHeight()); // draw new rectangle g2.draw(zoom_rectangle); g2.dispose(); } } }
From source file:org.esa.beam.visat.toolviews.stat.ScatterPlotPanel.java
private void compute(final Mask selectedMask) { final RasterDataNode raster = getRaster(); final AttributeDescriptor dataField = scatterPlotModel.dataField; if (raster == null || dataField == null) { return;//w w w.j a v a 2 s .c om } SwingWorker<ComputedData[], Object> swingWorker = new SwingWorker<ComputedData[], Object>() { @Override protected ComputedData[] doInBackground() throws Exception { BeamLogManager.getSystemLogger().finest("start computing scatter plot data"); final List<ComputedData> computedDataList = new ArrayList<>(); final FeatureCollection<SimpleFeatureType, SimpleFeature> collection = scatterPlotModel.pointDataSource .getFeatureCollection(); final SimpleFeature[] features = collection.toArray(new SimpleFeature[collection.size()]); final int boxSize = scatterPlotModel.boxSize; final Rectangle sceneRect = new Rectangle(raster.getSceneRasterWidth(), raster.getSceneRasterHeight()); final GeoCoding geoCoding = raster.getGeoCoding(); final AffineTransform imageToModelTransform; imageToModelTransform = ImageManager.getImageToModelTransform(geoCoding); for (SimpleFeature feature : features) { final Point point = (Point) feature.getDefaultGeometryProperty().getValue(); Point2D modelPos = new Point2D.Float((float) point.getX(), (float) point.getY()); final Point2D imagePos = imageToModelTransform.inverseTransform(modelPos, null); if (!sceneRect.contains(imagePos)) { continue; } final float imagePosX = (float) imagePos.getX(); final float imagePosY = (float) imagePos.getY(); final Rectangle imageRect = sceneRect.intersection(new Rectangle( ((int) imagePosX) - boxSize / 2, ((int) imagePosY) - boxSize / 2, boxSize, boxSize)); if (imageRect.isEmpty()) { continue; } final double[] rasterValues = new double[imageRect.width * imageRect.height]; raster.readPixels(imageRect.x, imageRect.y, imageRect.width, imageRect.height, rasterValues); final int[] maskBuffer = new int[imageRect.width * imageRect.height]; Arrays.fill(maskBuffer, 1); if (selectedMask != null) { selectedMask.readPixels(imageRect.x, imageRect.y, imageRect.width, imageRect.height, maskBuffer); } final int centerIndex = imageRect.width * (imageRect.height / 2) + (imageRect.width / 2); if (maskBuffer[centerIndex] == 0) { continue; } double sum = 0; double sumSqr = 0; int n = 0; boolean valid = false; for (int y = 0; y < imageRect.height; y++) { for (int x = 0; x < imageRect.width; x++) { final int index = y * imageRect.height + x; if (raster.isPixelValid(x + imageRect.x, y + imageRect.y) && maskBuffer[index] != 0) { final double rasterValue = rasterValues[index]; sum += rasterValue; sumSqr += rasterValue * rasterValue; n++; valid = true; } } } if (!valid) { continue; } double rasterMean = sum / n; double rasterSigma = n > 1 ? Math.sqrt((sumSqr - (sum * sum) / n) / (n - 1)) : 0.0; String localName = dataField.getLocalName(); Number attribute = (Number) feature.getAttribute(localName); final Collection<org.opengis.feature.Property> featureProperties = feature.getProperties(); final float correlativeData = attribute.floatValue(); final GeoPos geoPos = new GeoPos(); if (geoCoding.canGetGeoPos()) { final PixelPos pixelPos = new PixelPos(imagePosX, imagePosY); geoCoding.getGeoPos(pixelPos, geoPos); } else { geoPos.setInvalid(); } computedDataList.add(new ComputedData(imagePosX, imagePosY, geoPos.getLat(), geoPos.getLon(), (float) rasterMean, (float) rasterSigma, correlativeData, featureProperties)); } return computedDataList.toArray(new ComputedData[computedDataList.size()]); } @Override public void done() { try { final ValueAxis xAxis = getPlot().getDomainAxis(); final ValueAxis yAxis = getPlot().getRangeAxis(); xAxis.setAutoRange(false); yAxis.setAutoRange(false); scatterpointsDataset.removeAllSeries(); acceptableDeviationDataset.removeAllSeries(); regressionDataset.removeAllSeries(); getPlot().removeAnnotation(r2Annotation); computedDatas = null; final ComputedData[] data = get(); if (data.length == 0) { return; } computedDatas = data; final XYIntervalSeries scatterValues = new XYIntervalSeries(getCorrelativeDataName()); for (ComputedData computedData : computedDatas) { final float rasterMean = computedData.rasterMean; final float rasterSigma = computedData.rasterSigma; final float correlativeData = computedData.correlativeData; scatterValues.add(correlativeData, correlativeData, correlativeData, rasterMean, rasterMean - rasterSigma, rasterMean + rasterSigma); } computingData = true; scatterpointsDataset.addSeries(scatterValues); xAxis.setAutoRange(true); yAxis.setAutoRange(true); xAxis.setAutoRange(false); yAxis.setAutoRange(false); xAutoRangeAxisRange = new Range(xAxis.getLowerBound(), xAxis.getUpperBound()); yAutoRangeAxisRange = new Range(yAxis.getLowerBound(), yAxis.getUpperBound()); if (xAxisRangeControl.isAutoMinMax()) { xAxisRangeControl.adjustComponents(xAxis, 3); } else { xAxisRangeControl.adjustAxis(xAxis, 3); } if (yAxisRangeControl.isAutoMinMax()) { yAxisRangeControl.adjustComponents(yAxis, 3); } else { yAxisRangeControl.adjustAxis(yAxis, 3); } computeRegressionAndAcceptableDeviationData(); computingData = false; } catch (InterruptedException | CancellationException e) { BeamLogManager.getSystemLogger().log(Level.WARNING, "Failed to compute correlative plot.", e); JOptionPane.showMessageDialog(getParentDialogContentPane(), "Failed to compute correlative plot.\n" + "Calculation canceled.", /*I18N*/ CHART_TITLE, /*I18N*/ JOptionPane.ERROR_MESSAGE); } catch (ExecutionException e) { BeamLogManager.getSystemLogger().log(Level.WARNING, "Failed to compute correlative plot.", e); JOptionPane.showMessageDialog(getParentDialogContentPane(), "Failed to compute correlative plot.\n" + "An error occurred:\n" + e.getCause().getMessage(), CHART_TITLE, /*I18N*/ JOptionPane.ERROR_MESSAGE); } } }; swingWorker.execute(); }
From source file:net.sf.maltcms.chromaui.charts.FastHeatMapPlot.java
/** * Calculates the X data range.//from w ww . j a v a 2 s. co m * * @param data the data (<code>null</code> permitted). * * @return The range. */ private Range calculateXDataRange(float[][] data) { Range result = null; if (data != null) { float lowest = Float.POSITIVE_INFINITY; float highest = Float.NEGATIVE_INFINITY; for (int i = 0; i < data[0].length; i++) { float v = data[0][i]; if (v < lowest) { lowest = v; } if (v > highest) { highest = v; } } if (lowest <= highest) { result = new Range(lowest, highest); } } return result; }
From source file:org.jfree.data.general.DatasetUtilities.java
/** * Iterates over the data item of the category dataset to find * the range bounds./*from www . j ava2 s . co m*/ * * @param dataset the dataset (<code>null</code> not permitted). * @param includeInterval a flag that determines whether or not the * y-interval is taken into account. * * @return The range (possibly <code>null</code>). * * @since 1.0.10 */ public static Range iterateRangeBounds(CategoryDataset dataset, boolean includeInterval) { double minimum = Double.POSITIVE_INFINITY; double maximum = Double.NEGATIVE_INFINITY; int rowCount = dataset.getRowCount(); int columnCount = dataset.getColumnCount(); if (includeInterval && dataset instanceof IntervalCategoryDataset) { // handle the special case where the dataset has y-intervals that // we want to measure IntervalCategoryDataset icd = (IntervalCategoryDataset) dataset; Number value, lvalue, uvalue; for (int row = 0; row < rowCount; row++) { for (int column = 0; column < columnCount; column++) { value = icd.getValue(row, column); double v; if ((value != null) && !Double.isNaN(v = value.doubleValue())) { minimum = Math.min(v, minimum); maximum = Math.max(v, maximum); } lvalue = icd.getStartValue(row, column); if (lvalue != null && !Double.isNaN(v = lvalue.doubleValue())) { minimum = Math.min(v, minimum); maximum = Math.max(v, maximum); } uvalue = icd.getEndValue(row, column); if (uvalue != null && !Double.isNaN(v = uvalue.doubleValue())) { minimum = Math.min(v, minimum); maximum = Math.max(v, maximum); } } } } else { // handle the standard case (plain CategoryDataset) for (int row = 0; row < rowCount; row++) { for (int column = 0; column < columnCount; column++) { Number value = dataset.getValue(row, column); if (value != null) { double v = value.doubleValue(); if (!Double.isNaN(v)) { minimum = Math.min(minimum, v); maximum = Math.max(maximum, v); } } } } } if (minimum == Double.POSITIVE_INFINITY) { return null; } else { return new Range(minimum, maximum); } }
From source file:org.jfree.data.time.TimeSeriesTest.java
@Test public void testFindValueRange2() { TimeZone tzone = TimeZone.getTimeZone("Europe/London"); Calendar calendar = new GregorianCalendar(tzone, Locale.UK); calendar.clear();// www . j a v a 2s . co m calendar.set(2014, Calendar.FEBRUARY, 23, 6, 0); long start = calendar.getTimeInMillis(); calendar.clear(); calendar.set(2014, Calendar.FEBRUARY, 24, 18, 0); long end = calendar.getTimeInMillis(); Range range = new Range(start, end); TimeSeries ts = new TimeSeries("Time Series"); assertNull(ts.findValueRange(range, TimePeriodAnchor.START, tzone)); assertNull(ts.findValueRange(range, TimePeriodAnchor.MIDDLE, tzone)); assertNull(ts.findValueRange(range, TimePeriodAnchor.END, tzone)); ts.add(new Day(23, 2, 2014), 5.0); assertTrue(ts.findValueRange(range, TimePeriodAnchor.START, tzone).isNaNRange()); assertEquals(new Range(5.0, 5.0), ts.findValueRange(range, TimePeriodAnchor.MIDDLE, tzone)); assertEquals(new Range(5.0, 5.0), ts.findValueRange(range, TimePeriodAnchor.END, tzone)); ts.add(new Day(24, 2, 2014), 6.0); assertEquals(new Range(6.0, 6.0), ts.findValueRange(range, TimePeriodAnchor.START, tzone)); assertEquals(new Range(5.0, 6.0), ts.findValueRange(range, TimePeriodAnchor.MIDDLE, tzone)); assertEquals(new Range(5.0, 5.0), ts.findValueRange(range, TimePeriodAnchor.END, tzone)); ts.clear(); ts.add(new Day(24, 2, 2014), null); assertTrue(ts.findValueRange(range, TimePeriodAnchor.START, tzone).isNaNRange()); assertTrue(ts.findValueRange(range, TimePeriodAnchor.MIDDLE, tzone).isNaNRange()); assertTrue(ts.findValueRange(range, TimePeriodAnchor.END, tzone).isNaNRange()); }
From source file:net.sf.maltcms.chromaui.charts.FastHeatMapPlot.java
/** * Calculates the Y data range./* ww w .ja v a 2 s . com*/ * * @param data the data (<code>null</code> permitted). * * @return The range. */ private Range calculateYDataRange(float[][] data) { Range result = null; if (data != null) { float lowest = Float.POSITIVE_INFINITY; float highest = Float.NEGATIVE_INFINITY; for (int i = 0; i < data[0].length; i++) { float v = data[1][i]; if (v < lowest) { lowest = v; } if (v > highest) { highest = v; } } if (lowest <= highest) { result = new Range(lowest, highest); } } return result; }
From source file:de.laures.cewolf.jfree.ThermometerPlot.java
/** * Returns the data range./*from w w w .j a v a2 s .co m*/ * * @param axis the axis. * * @return The range of data displayed. */ public Range getDataRange(ValueAxis axis) { return new Range(this.lowerBound, this.upperBound); }