List of usage examples for org.jfree.chart.renderer.xy XYErrorRenderer setSeriesOutlinePaint
public void setSeriesOutlinePaint(int series, Paint paint)
From source file:org.esa.snap.rcp.statistics.ScatterPlotPanel.java
private void createUI() { final XYPlot plot = getPlot(); plot.setAxisOffset(new RectangleInsets(5, 5, 5, 5)); plot.setNoDataMessage(NO_DATA_MESSAGE); int confidenceDSIndex = 0; int regressionDSIndex = 1; int scatterpointsDSIndex = 2; plot.setDataset(confidenceDSIndex, acceptableDeviationDataset); plot.setDataset(regressionDSIndex, regressionDataset); plot.setDataset(scatterpointsDSIndex, scatterpointsDataset); plot.addAnnotation(r2Annotation); final DeviationRenderer identityRenderer = new DeviationRenderer(true, false); identityRenderer.setSeriesPaint(0, StatisticChartStyling.SAMPLE_DATA_PAINT); identityRenderer.setSeriesFillPaint(0, StatisticChartStyling.SAMPLE_DATA_FILL_PAINT); plot.setRenderer(confidenceDSIndex, identityRenderer); final DeviationRenderer regressionRenderer = new DeviationRenderer(true, false); regressionRenderer.setSeriesPaint(0, StatisticChartStyling.REGRESSION_DATA_PAINT); regressionRenderer.setSeriesFillPaint(0, StatisticChartStyling.REGRESSION_DATA_FILL_PAINT); plot.setRenderer(regressionDSIndex, regressionRenderer); final XYErrorRenderer scatterPointsRenderer = new XYErrorRenderer(); scatterPointsRenderer.setDrawXError(true); scatterPointsRenderer.setErrorStroke(new BasicStroke(1)); scatterPointsRenderer.setErrorPaint(StatisticChartStyling.CORRELATIVE_POINT_OUTLINE_PAINT); scatterPointsRenderer.setSeriesShape(0, StatisticChartStyling.CORRELATIVE_POINT_SHAPE); scatterPointsRenderer.setSeriesOutlinePaint(0, StatisticChartStyling.CORRELATIVE_POINT_OUTLINE_PAINT); scatterPointsRenderer.setSeriesFillPaint(0, StatisticChartStyling.CORRELATIVE_POINT_FILL_PAINT); scatterPointsRenderer.setSeriesLinesVisible(0, false); scatterPointsRenderer.setSeriesShapesVisible(0, true); scatterPointsRenderer.setSeriesOutlineStroke(0, new BasicStroke(1.0f)); scatterPointsRenderer.setSeriesToolTipGenerator(0, (dataset, series, item) -> { final XYIntervalSeriesCollection collection = (XYIntervalSeriesCollection) dataset; final Comparable key = collection.getSeriesKey(series); final double xValue = collection.getXValue(series, item); final double endYValue = collection.getEndYValue(series, item); final double yValue = collection.getYValue(series, item); return String.format("%s: mean = %6.2f, sigma = %6.2f | %s: value = %6.2f", getRasterName(), yValue, endYValue - yValue, key, xValue); });//from w ww. jav a 2 s. com plot.setRenderer(scatterpointsDSIndex, scatterPointsRenderer); final boolean autoRangeIncludesZero = false; final boolean xLog = scatterPlotModel.xAxisLogScaled; final boolean yLog = scatterPlotModel.yAxisLogScaled; plot.setDomainAxis( StatisticChartStyling.updateScalingOfAxis(xLog, plot.getDomainAxis(), autoRangeIncludesZero)); plot.setRangeAxis( StatisticChartStyling.updateScalingOfAxis(yLog, plot.getRangeAxis(), autoRangeIncludesZero)); createUI(createChartPanel(chart), createInputParameterPanel(), bindingContext); plot.getDomainAxis().addChangeListener(domainAxisChangeListener); scatterPlotDisplay.setMouseWheelEnabled(true); scatterPlotDisplay.setMouseZoomable(true); }
From source file:org.esa.beam.visat.toolviews.stat.ScatterPlotPanel.java
private void createUI() { final XYPlot plot = getPlot(); plot.setAxisOffset(new RectangleInsets(5, 5, 5, 5)); plot.setNoDataMessage(NO_DATA_MESSAGE); plot.setDataset(CONFIDENCE_DSINDEX, acceptableDeviationDataset); plot.setDataset(REGRESSION_DSINDEX, regressionDataset); plot.setDataset(SCATTERPOINTS_DSINDEX, scatterpointsDataset); plot.addAnnotation(r2Annotation); final DeviationRenderer identityRenderer = new DeviationRenderer(true, false); identityRenderer.setSeriesPaint(0, StatisticChartStyling.SAMPLE_DATA_PAINT); identityRenderer.setSeriesFillPaint(0, StatisticChartStyling.SAMPLE_DATA_FILL_PAINT); plot.setRenderer(CONFIDENCE_DSINDEX, identityRenderer); final DeviationRenderer regressionRenderer = new DeviationRenderer(true, false); regressionRenderer.setSeriesPaint(0, StatisticChartStyling.REGRESSION_DATA_PAINT); regressionRenderer.setSeriesFillPaint(0, StatisticChartStyling.REGRESSION_DATA_FILL_PAINT); plot.setRenderer(REGRESSION_DSINDEX, regressionRenderer); final XYErrorRenderer scatterPointsRenderer = new XYErrorRenderer(); scatterPointsRenderer.setDrawXError(true); scatterPointsRenderer.setErrorStroke(new BasicStroke(1)); scatterPointsRenderer.setErrorPaint(StatisticChartStyling.CORRELATIVE_POINT_OUTLINE_PAINT); scatterPointsRenderer.setSeriesShape(0, StatisticChartStyling.CORRELATIVE_POINT_SHAPE); scatterPointsRenderer.setSeriesOutlinePaint(0, StatisticChartStyling.CORRELATIVE_POINT_OUTLINE_PAINT); scatterPointsRenderer.setSeriesFillPaint(0, StatisticChartStyling.CORRELATIVE_POINT_FILL_PAINT); scatterPointsRenderer.setSeriesLinesVisible(0, false); scatterPointsRenderer.setSeriesShapesVisible(0, true); scatterPointsRenderer.setSeriesOutlineStroke(0, new BasicStroke(1.0f)); scatterPointsRenderer.setSeriesToolTipGenerator(0, new XYToolTipGenerator() { @Override//from w w w . ja v a 2s . c o m public String generateToolTip(XYDataset dataset, int series, int item) { final XYIntervalSeriesCollection collection = (XYIntervalSeriesCollection) dataset; final Comparable key = collection.getSeriesKey(series); final double xValue = collection.getXValue(series, item); final double endYValue = collection.getEndYValue(series, item); final double yValue = collection.getYValue(series, item); return String.format("%s: mean = %6.2f, sigma = %6.2f | %s: value = %6.2f", getRasterName(), yValue, endYValue - yValue, key, xValue); } }); plot.setRenderer(SCATTERPOINTS_DSINDEX, scatterPointsRenderer); final boolean autoRangeIncludesZero = false; final boolean xLog = scatterPlotModel.xAxisLogScaled; final boolean yLog = scatterPlotModel.yAxisLogScaled; plot.setDomainAxis( StatisticChartStyling.updateScalingOfAxis(xLog, plot.getDomainAxis(), autoRangeIncludesZero)); plot.setRangeAxis( StatisticChartStyling.updateScalingOfAxis(yLog, plot.getRangeAxis(), autoRangeIncludesZero)); createUI(createChartPanel(chart), createInputParameterPanel(), bindingContext); plot.getDomainAxis().addChangeListener(domainAxisChangeListener); scatterPlotDisplay.setMouseWheelEnabled(true); scatterPlotDisplay.setMouseZoomable(true); }
From source file:jhplot.HChart.java
/** * Draw data from a P1D. Drawing updated automatically. 1st level errors are * shown if the dimension is above 5. Otherwise show X and Y. If you set * setChartPolar() before,m you can also show polar coordinates. * // w w w . j ava 2 s. c om * @param d * input P1D container */ public void add(P1D d) { if (cdatPolar[N1][N2] != null) { XYSeries SerData = new XYSeries(d.getTitle()); for (int i = 0; i < d.size(); i++) SerData.add(d.getX(i), d.getY(i)); cdatPolar[N1][N2].addSeries(SerData); return; // return if this is polar chart } // assume XY chart // System.out.println(d.dimension()); LinePars lpp = d.getDrawOption(); float width = (float) lpp.getPenWidth(); int style = d.getLineStyle(); float dash = lpp.getDashLength(); int symbol = lpp.getSymbol(); Shape shape = getShape(symbol, lpp.getSymbolSize()); // setSeriesShapesFilled(int series, java.lang.Boolean flag) // setShapesFilled(boolean filled) if (d.dimension() > 5) { XYIntervalSeriesCollection c = new XYIntervalSeriesCollection(); XYIntervalSeries SerData = new XYIntervalSeries(d.getTitle()); for (int i = 0; i < d.size(); i++) SerData.add(d.getX(i), d.getX(i) - d.getXleft(i), d.getX(i) + d.getXright(i), d.getY(i), d.getY(i) - d.getYlower(i), d.getY(i) + d.getYupper(i)); c.addSeries(SerData); xyplot[N1][N2].setDataset(indexdat[N1][N2], c); XYErrorRenderer xyerrorrenderer = new XYErrorRenderer(); xyerrorrenderer.setSeriesStroke(0, getStrokes(style, width, dash)); xyerrorrenderer.setSeriesPaint(0, d.getColor()); xyerrorrenderer.setSeriesOutlinePaint(0, d.getColor()); xyerrorrenderer.setSeriesFillPaint(0, lpp.getFillColor()); xyerrorrenderer.setSeriesShape(0, shape); if (symbol > 0 && symbol < 4) xyerrorrenderer.setSeriesShapesFilled(0, false); if (symbol > 3) xyerrorrenderer.setSeriesShapesFilled(0, true); rdat[N1][N2].add(xyerrorrenderer); type[N1][N2].put(new Integer(indexdat[N1][N2]), "pe"); indexdat[N1][N2]++; } else if (d.dimension() == 4) { XYIntervalSeriesCollection c = new XYIntervalSeriesCollection(); XYIntervalSeries SerData = new XYIntervalSeries(d.getTitle()); for (int i = 0; i < d.size(); i++) SerData.add(d.getX(i), d.getX(i), d.getX(i), d.getY(i), d.getY(i) - d.getYlower(i), d.getY(i) + d.getYupper(i)); c.addSeries(SerData); xyplot[N1][N2].setDataset(indexdat[N1][N2], c); XYErrorRenderer xyerrorrenderer = new XYErrorRenderer(); xyerrorrenderer.setSeriesStroke(0, getStrokes(style, width, dash)); xyerrorrenderer.setSeriesPaint(0, d.getColor()); xyerrorrenderer.setSeriesOutlinePaint(0, d.getColor()); xyerrorrenderer.setSeriesFillPaint(0, lpp.getFillColor()); xyerrorrenderer.setSeriesShape(0, shape); if (symbol > 0 && symbol < 4) xyerrorrenderer.setSeriesShapesFilled(0, false); if (symbol > 3) xyerrorrenderer.setSeriesShapesFilled(0, true); rdat[N1][N2].add(xyerrorrenderer); type[N1][N2].put(new Integer(indexdat[N1][N2]), "pe"); indexdat[N1][N2]++; } else if (d.dimension() == 3) { XYIntervalSeriesCollection c = new XYIntervalSeriesCollection(); XYIntervalSeries SerData = new XYIntervalSeries(d.getTitle()); for (int i = 0; i < d.size(); i++) SerData.add(d.getX(i), d.getX(i), d.getX(i), d.getY(i), d.getY(i) - d.getYupper(i), d.getY(i) + d.getYupper(i)); c.addSeries(SerData); xyplot[N1][N2].setDataset(indexdat[N1][N2], c); XYErrorRenderer xyerrorrenderer = new XYErrorRenderer(); xyerrorrenderer.setSeriesStroke(0, getStrokes(style, width, dash)); xyerrorrenderer.setSeriesPaint(0, d.getColor()); xyerrorrenderer.setSeriesOutlinePaint(0, d.getColor()); xyerrorrenderer.setSeriesFillPaint(0, lpp.getFillColor()); xyerrorrenderer.setSeriesShape(0, shape); if (symbol > 0 && symbol < 4) xyerrorrenderer.setSeriesShapesFilled(0, false); if (symbol > 3) xyerrorrenderer.setSeriesShapesFilled(0, true); rdat[N1][N2].add(xyerrorrenderer); type[N1][N2].put(new Integer(indexdat[N1][N2]), "pe"); indexdat[N1][N2]++; } else { XYSeriesCollection c = new XYSeriesCollection(); XYSeries SerData = new XYSeries(d.getTitle()); for (int i = 0; i < d.size(); i++) SerData.add(d.getX(i), d.getY(i)); c.addSeries(SerData); xyplot[N1][N2].setDataset(indexdat[N1][N2], c); XYLineAndShapeRenderer xyerrorrenderer = new XYLineAndShapeRenderer(false, true); xyerrorrenderer.setSeriesStroke(0, getStrokes(style, width, dash)); xyerrorrenderer.setSeriesPaint(0, d.getColor()); xyerrorrenderer.setSeriesOutlinePaint(0, d.getColor()); xyerrorrenderer.setSeriesFillPaint(0, lpp.getFillColor()); xyerrorrenderer.setSeriesShape(0, shape); if (symbol > 0 && symbol < 4) xyerrorrenderer.setSeriesShapesFilled(0, false); if (symbol > 3) xyerrorrenderer.setSeriesShapesFilled(0, true); rdat[N1][N2].add(xyerrorrenderer); type[N1][N2].put(new Integer(indexdat[N1][N2]), "p"); indexdat[N1][N2]++; } }