List of usage examples for org.jfree.chart.plot XYPlot setRangeGridlinesVisible
public void setRangeGridlinesVisible(boolean visible)
From source file:org.jfree.chart.demo.SparklineDemo1.java
public static void main(String args[]) { XYSeries xyseries = new XYSeries("Series 1"); xyseries.add(1.0D, 1.0D);/*w w w . j a v a 2s. c o m*/ xyseries.add(2D, 3D); xyseries.add(3D, 2D); xyseries.add(4D, 4D); XYSeriesCollection xyseriescollection = new XYSeriesCollection(); xyseriescollection.addSeries(xyseries); JFreeChart jfreechart = ChartFactory.createXYLineChart(null, "X", "Y", xyseriescollection, PlotOrientation.VERTICAL, false, false, false); XYPlot xyplot = (XYPlot) jfreechart.getPlot(); xyplot.setInsets(RectangleInsets.ZERO_INSETS); xyplot.setDomainGridlinesVisible(false); xyplot.setRangeGridlinesVisible(false); xyplot.setOutlinePaint(null); xyplot.getDomainAxis().setVisible(false); xyplot.getRangeAxis().setVisible(false); try { ChartUtilities.saveChartAsPNG(new File("Sparky.png"), jfreechart, 100, 20); } catch (IOException ioexception) { ioexception.printStackTrace(); } }
From source file:mzmatch.ipeak.align.CowCoda.java
@SuppressWarnings("unchecked") public static void main(String args[]) { final String lbl_mcq = "mcq"; try {//from ww w. j a v a 2 s . c o m Tool.init(); // parse the commandline options final Options options = new Options(); CmdLineParser cmdline = new CmdLineParser(options); // check whether we need to show the help cmdline.parse(args); if (options.help) { Tool.printHeader(System.out, application, version); cmdline.printUsage(System.out, ""); return; } if (options.verbose) { Tool.printHeader(System.out, application, version); cmdline.printOptions(); } // check the command-line parameters int filetype = JFreeChartTools.PDF; { if (options.ppm == -1) { System.err.println("[ERROR]: the ppm-value needs to be set."); System.exit(0); } if (options.order == -1) { System.err.println("[ERROR]: the order for the polynomial fit needs to be set."); System.exit(0); } if (options.maxrt == -1) { System.err.println("[ERROR]: the maximum retention time shift is not set."); System.exit(0); } if (options.image != null) { String extension = options.image.substring(options.image.lastIndexOf('.') + 1); if (extension.toLowerCase().equals("png")) filetype = JFreeChartTools.PNG; else if (extension.toLowerCase().equals("pdf")) filetype = JFreeChartTools.PDF; else { System.err.println( "[ERROR]: file extension of the image file needs to be either PDF or PNG."); System.exit(0); } } // if the output directories do not exist, create them if (options.output != null) Tool.createFilePath(options.output, true); if (options.image != null) Tool.createFilePath(options.image, true); if (options.selection != null) Tool.createFilePath(options.selection, true); } // load the data if (options.verbose) System.out.println("Loading the data"); double maxrt = 0; Vector<ParseResult> data = new Vector<ParseResult>(); Vector<IPeakSet<IPeak>> matchdata = new Vector<IPeakSet<IPeak>>(); for (String file : options.input) { System.out.println("- " + new File(file).getName()); // load the mass chromatogram data ParseResult result = PeakMLParser.parse(new FileInputStream(file), true); data.add(result); // select the best mass chromatograms Vector<IPeak> selection = new Vector<IPeak>(); for (IPeak peak : (IPeakSet<IPeak>) result.measurement) { maxrt = Math.max(maxrt, maxRT(peak)); double mcq = codaDW(peak); peak.addAnnotation(lbl_mcq, Double.toString(mcq), Annotation.ValueType.DOUBLE); if (mcq >= options.codadw) selection.add(peak); } // keep track of the selected mass chromatograms int id = options.input.indexOf(file); IPeakSet<IPeak> peakset = new IPeakSet<IPeak>(selection); peakset.setMeasurementID(id); for (IPeak mc : peakset) mc.setMeasurementID(id); matchdata.add(peakset); } // match the selection together if (options.verbose) System.out.println("Matching the data"); Vector<IPeakSet<IPeak>> matches = IPeak.match((Vector) matchdata, options.ppm, new IPeak.MatchCompare<IPeak>() { public double distance(IPeak peak1, IPeak peak2) { double diff = Math.abs(peak1.getRetentionTime() - peak2.getRetentionTime()); if (diff > options.maxrt) return -1; Signal signal1 = new Signal(peak1.getSignal()); signal1.normalize(); Signal signal2 = new Signal(peak2.getSignal()); signal2.normalize(); double offset = bestOffSet(peak1, peak2, options.maxrt); for (int i = 0; i < signal2.getSize(); ++i) signal2.getX()[i] += offset; double correlation = signal2 .pearsonsCorrelation(signal1)[Statistical.PEARSON_CORRELATION]; if (correlation < 0.5) return -1; // the match-function optimizes toward 0 (it's a distance) return 1 - correlation; } }); // filter out all incomplete sets Vector<IPeakSet<IPeak>> valids = new Vector<IPeakSet<IPeak>>(); for (IPeakSet<IPeak> set : matches) { if (set.size() < options.input.size()) continue; valids.add((IPeakSet) set); } // calculate the alignment factors if (options.verbose) System.out.println("Calculating the alignment factors"); double medians[] = new double[valids.size() + 2]; DataFrame.Double dataframe = new DataFrame.Double(valids.size() + 2, options.input.size()); medians[0] = 0; medians[medians.length - 1] = maxrt; for (int i = 0; i < options.input.size(); ++i) { dataframe.set(0, i, 0.1); dataframe.set(dataframe.getNrRows() - 1, i, 0); } for (int matchid = 0; matchid < valids.size(); ++matchid) { IPeakSet<IPeak> match = valids.get(matchid); // find the most central double offsets[][] = new double[match.size()][match.size()]; for (int i = 0; i < match.size(); ++i) for (int j = i + 1; j < match.size(); ++j) { offsets[i][j] = bestOffSet(match.get(i), match.get(j), options.maxrt); offsets[j][i] = -offsets[i][j]; } int besti = 0; double bestabssum = Double.MAX_VALUE; for (int i = 0; i < match.size(); ++i) { double abssum = 0; for (int j = 0; j < match.size(); ++j) abssum += Math.abs(offsets[i][j]); if (abssum < bestabssum) { besti = i; bestabssum = abssum; } } for (int i = 0; i < match.size(); ++i) dataframe.set(matchid + 1, match.get(i).getMeasurementID(), (i == besti ? 0 : offsets[i][besti])); medians[matchid + 1] = match.get(besti).getRetentionTime(); dataframe.setRowName(matchid, Double.toString(match.get(besti).getRetentionTime())); } double minmedian = Statistical.min(medians); double maxmedian = Statistical.max(medians); // calculate for each profile the correction function PolynomialFunction functions[] = new PolynomialFunction[valids.size()]; for (int i = 0; i < options.input.size(); ++i) functions[i] = PolynomialFunction.fit(options.order, medians, dataframe.getCol(i)); // make a nice plot out of the whole thing if (options.verbose) System.out.println("Writing results"); if (options.image != null) { org.jfree.data.xy.XYSeriesCollection dataset = new org.jfree.data.xy.XYSeriesCollection(); JFreeChart linechart = ChartFactory.createXYLineChart(null, "Retention Time (seconds)", "offset", dataset, PlotOrientation.VERTICAL, true, // legend false, // tooltips false // urls ); // setup the colorkey Colormap colormap = new Colormap(Colormap.EXCEL); // get the structure behind the graph XYPlot plot = (XYPlot) linechart.getPlot(); XYLineAndShapeRenderer renderer = (XYLineAndShapeRenderer) plot.getRenderer(); // setup the plot area linechart.setBackgroundPaint(java.awt.Color.WHITE); linechart.setBorderVisible(false); linechart.setAntiAlias(true); plot.setBackgroundPaint(java.awt.Color.WHITE); plot.setDomainGridlinesVisible(true); plot.setRangeGridlinesVisible(true); // create the datasets for (int i = 0; i < options.input.size(); ++i) { org.jfree.data.xy.XYSeries series = new org.jfree.data.xy.XYSeries(dataframe.getColName(i)); org.jfree.data.xy.XYSeries function = new org.jfree.data.xy.XYSeries( dataframe.getColName(i) + "-function"); dataset.addSeries(series); dataset.addSeries(function); renderer.setSeriesPaint(dataset.getSeriesCount() - 1, new java.awt.Color(colormap.getColor(i))); renderer.setSeriesPaint(dataset.getSeriesCount() - 2, new java.awt.Color(colormap.getColor(i))); renderer.setSeriesLinesVisible(dataset.getSeriesCount() - 2, false); renderer.setSeriesShapesVisible(dataset.getSeriesCount() - 2, true); // add the data-points for (int j = 0; j < valids.size(); ++j) series.add(medians[j], dataframe.get(j, i)); for (double x = minmedian; x < maxmedian; ++x) function.add(x, functions[i].getY(x)); } dataset.removeAllSeries(); for (int i = 0; i < options.input.size(); ++i) { Function function = functions[i]; org.jfree.data.xy.XYSeries series = new org.jfree.data.xy.XYSeries(dataframe.getColName(i)); dataset.addSeries(series); renderer.setSeriesPaint(i, new java.awt.Color(colormap.getColor(i))); renderer.setSeriesLinesVisible(i, false); renderer.setSeriesShapesVisible(i, true); // add the data-points for (int j = 0; j < valids.size(); ++j) series.add(medians[j], dataframe.get(j, i) - function.getY(medians[j])); } JFreeChartTools.writeAs(filetype, new FileOutputStream(options.image), linechart, 800, 500); } // save the selected if (options.selection != null) { Header header = new Header(); // set the number of peaks to be stored header.setNrPeaks(valids.size()); // create a set for the measurements SetInfo set = new SetInfo("", SetInfo.SET); header.addSetInfo(set); // create the measurement infos for (int i = 0; i < options.input.size(); ++i) { String file = options.input.get(i); // create the measurement info MeasurementInfo measurement = new MeasurementInfo(i, data.get(i).header.getMeasurementInfo(0)); measurement.addFileInfo(new FileInfo(file, file)); header.addMeasurementInfo(measurement); // add the file to the set set.addChild(new SetInfo(file, SetInfo.SET, i)); } // write the data PeakMLWriter.write(header, (Vector) valids, null, new GZIPOutputStream(new FileOutputStream(options.selection)), null); } // correct the values with the found function and save them for (int i = 0; i < options.input.size(); ++i) { Function function = functions[i]; ParseResult result = data.get(i); IPeakSet<MassChromatogram<Peak>> peakset = (IPeakSet<MassChromatogram<Peak>>) result.measurement; for (IPeak peak : peakset) align(peak, function); File filename = new File(options.input.get(i)); String name = filename.getName(); PeakMLWriter.write(result.header, (Vector) peakset.getPeaks(), null, new GZIPOutputStream(new FileOutputStream(options.output + "/" + name)), null); } } catch (Exception e) { Tool.unexpectedError(e, application); } }
From source file:org.matsim.contrib.util.timeprofile.TimeProfileCharts.java
public static JFreeChart chartProfile(DefaultTableXYDataset dataset, ChartType type) { JFreeChart chart;/* w w w. j a v a 2 s. c om*/ switch (type) { case Line: chart = ChartFactory.createXYLineChart("TimeProfile", "Time [h]", "Values", dataset, PlotOrientation.VERTICAL, true, false, false); break; case StackedArea: chart = ChartFactory.createStackedXYAreaChart("TimeProfile", "Time [h]", "Values", dataset, PlotOrientation.VERTICAL, true, false, false); break; default: throw new IllegalArgumentException(); } XYPlot plot = chart.getXYPlot(); plot.setRangeGridlinesVisible(false); plot.setDomainGridlinesVisible(false); plot.setBackgroundPaint(Color.white); NumberAxis xAxis = (NumberAxis) plot.getDomainAxis(); xAxis.setStandardTickUnits(NumberAxis.createIntegerTickUnits()); NumberAxis yAxis = (NumberAxis) plot.getRangeAxis(); yAxis.setAutoRange(true); XYItemRenderer renderer = plot.getRenderer(); for (int s = 0; s < dataset.getSeriesCount(); s++) { renderer.setSeriesStroke(s, new BasicStroke(2)); } return chart; }
From source file:org.matsim.contrib.dvrp.util.chart.RouteChartUtils.java
public static JFreeChart chartRoutes(List<? extends Vehicle> vehicles) { CoordDataset lData = new CoordDataset(); for (int i = 0; i < vehicles.size(); i++) { Schedule<?> schedule = vehicles.get(i).getSchedule(); lData.addSeries(Integer.toString(i), LinkSources.createLinkSource(schedule)); }/*from www . j a v a 2 s . c om*/ JFreeChart chart = ChartFactory.createXYLineChart("Routes", "X", "Y", lData, PlotOrientation.VERTICAL, true, true, false); XYPlot plot = (XYPlot) chart.getPlot(); plot.setRangeGridlinesVisible(false); plot.setDomainGridlinesVisible(false); plot.setBackgroundPaint(Color.white); NumberAxis yAxis = (NumberAxis) plot.getRangeAxis(); yAxis.setAutoRangeIncludesZero(false); XYLineAndShapeRenderer renderer = (XYLineAndShapeRenderer) plot.getRenderer(); renderer.setSeriesShapesVisible(0, true); renderer.setSeriesLinesVisible(0, false); renderer.setSeriesItemLabelsVisible(0, true); renderer.setBaseItemLabelGenerator(new XYItemLabelGenerator() { public String generateLabel(XYDataset dataset, int series, int item) { return ((CoordDataset) dataset).getText(series, item); } }); for (int i = 1; i <= vehicles.size(); i++) { renderer.setSeriesShapesVisible(i, true); renderer.setSeriesLinesVisible(i, true); renderer.setSeriesItemLabelsVisible(i, true); } return chart; }
From source file:org.matsim.contrib.dvrp.util.chart.RouteCharts.java
public static JFreeChart chartRoutes(Collection<? extends Vehicle> vehicles) { CoordDataset lData = new CoordDataset(); int i = 0;/*from w ww . ja v a 2s .c om*/ for (Vehicle v : vehicles) { Schedule schedule = v.getSchedule(); lData.addSeries(Integer.toString(i++), ScheduleCoordSources.createCoordSource(schedule)); } JFreeChart chart = ChartFactory.createXYLineChart("Routes", "X", "Y", lData, PlotOrientation.VERTICAL, true, true, false); XYPlot plot = (XYPlot) chart.getPlot(); plot.setRangeGridlinesVisible(false); plot.setDomainGridlinesVisible(false); plot.setBackgroundPaint(Color.white); NumberAxis yAxis = (NumberAxis) plot.getRangeAxis(); yAxis.setAutoRangeIncludesZero(false); XYLineAndShapeRenderer renderer = (XYLineAndShapeRenderer) plot.getRenderer(); renderer.setSeriesShapesVisible(0, true); renderer.setSeriesLinesVisible(0, false); renderer.setSeriesItemLabelsVisible(0, true); renderer.setBaseItemLabelGenerator(new XYItemLabelGenerator() { public String generateLabel(XYDataset dataset, int series, int item) { return ((CoordDataset) dataset).getText(series, item); } }); for (int j = 1; j <= vehicles.size(); j++) { renderer.setSeriesShapesVisible(j, true); renderer.setSeriesLinesVisible(j, true); renderer.setSeriesItemLabelsVisible(j, true); } return chart; }
From source file:org.matsim.contrib.dvrp.util.chart.RouteChartUtils.java
public static JFreeChart chartRoutesByStatus(List<? extends Vehicle> vehicles) { CoordDataset nData = new CoordDataset(); for (int i = 0; i < vehicles.size(); i++) { Schedule<?> schedule = vehicles.get(i).getSchedule(); Map<TaskStatus, CoordSource> vsByStatus = createLinkSourceByStatus(schedule); nData.addSeries(i + "-PR", vsByStatus.get(TaskStatus.PERFORMED)); nData.addSeries(i + "-ST", vsByStatus.get(TaskStatus.STARTED)); nData.addSeries(i + "-PL", vsByStatus.get(TaskStatus.PLANNED)); }/* www . j a v a 2 s .co m*/ JFreeChart chart = ChartFactory.createXYLineChart("Routes", "X", "Y", nData, PlotOrientation.VERTICAL, false, true, false); XYPlot plot = (XYPlot) chart.getPlot(); plot.setRangeGridlinesVisible(false); plot.setDomainGridlinesVisible(false); plot.setBackgroundPaint(Color.white); NumberAxis yAxis = (NumberAxis) plot.getRangeAxis(); yAxis.setAutoRangeIncludesZero(false); XYLineAndShapeRenderer renderer = (XYLineAndShapeRenderer) plot.getRenderer(); renderer.setSeriesShapesVisible(0, true); renderer.setSeriesLinesVisible(0, false); renderer.setSeriesItemLabelsVisible(0, true); renderer.setBaseItemLabelGenerator(new LabelGenerator()); Paint[] paints = DefaultDrawingSupplier.DEFAULT_PAINT_SEQUENCE; Shape[] shapes = DefaultDrawingSupplier.DEFAULT_SHAPE_SEQUENCE; for (int i = 0; i < vehicles.size(); i++) { int s = 3 * i; renderer.setSeriesItemLabelsVisible(s + 1, true); renderer.setSeriesItemLabelsVisible(s + 2, true); renderer.setSeriesItemLabelsVisible(s + 3, true); renderer.setSeriesShapesVisible(s + 1, true); renderer.setSeriesShapesVisible(s + 2, true); renderer.setSeriesShapesVisible(s + 3, true); renderer.setSeriesLinesVisible(s + 1, true); renderer.setSeriesLinesVisible(s + 2, true); renderer.setSeriesLinesVisible(s + 3, true); renderer.setSeriesPaint(s + 1, paints[(i + 1) % paints.length]); renderer.setSeriesPaint(s + 2, paints[(i + 1) % paints.length]); renderer.setSeriesPaint(s + 3, paints[(i + 1) % paints.length]); renderer.setSeriesShape(s + 1, shapes[(i + 1) % shapes.length]); renderer.setSeriesShape(s + 2, shapes[(i + 1) % shapes.length]); renderer.setSeriesShape(s + 3, shapes[(i + 1) % shapes.length]); renderer.setSeriesStroke(s + 2, new BasicStroke(3)); renderer.setSeriesStroke(s + 3, new BasicStroke(1, BasicStroke.CAP_ROUND, BasicStroke.JOIN_ROUND, 1, new float[] { 5f, 5f }, 0)); } return chart; }
From source file:org.matsim.contrib.dvrp.util.chart.RouteCharts.java
public static JFreeChart chartRoutesByStatus(List<? extends Vehicle> vehicles) { CoordDataset nData = new CoordDataset(); for (int i = 0; i < vehicles.size(); i++) { Schedule schedule = vehicles.get(i).getSchedule(); Map<TaskStatus, CoordSource> vsByStatus = createLinkSourceByStatus(schedule); nData.addSeries(i + "-PR", vsByStatus.get(TaskStatus.PERFORMED)); nData.addSeries(i + "-ST", vsByStatus.get(TaskStatus.STARTED)); nData.addSeries(i + "-PL", vsByStatus.get(TaskStatus.PLANNED)); }// w w w. j a va 2 s . c om JFreeChart chart = ChartFactory.createXYLineChart("Routes", "X", "Y", nData, PlotOrientation.VERTICAL, false, true, false); XYPlot plot = (XYPlot) chart.getPlot(); plot.setRangeGridlinesVisible(false); plot.setDomainGridlinesVisible(false); plot.setBackgroundPaint(Color.white); NumberAxis yAxis = (NumberAxis) plot.getRangeAxis(); yAxis.setAutoRangeIncludesZero(false); XYLineAndShapeRenderer renderer = (XYLineAndShapeRenderer) plot.getRenderer(); renderer.setSeriesShapesVisible(0, true); renderer.setSeriesLinesVisible(0, false); renderer.setSeriesItemLabelsVisible(0, true); renderer.setBaseItemLabelGenerator(new LabelGenerator()); Paint[] paints = DefaultDrawingSupplier.DEFAULT_PAINT_SEQUENCE; Shape[] shapes = DefaultDrawingSupplier.DEFAULT_SHAPE_SEQUENCE; for (int i = 0; i < vehicles.size(); i++) { int s = 3 * i; renderer.setSeriesItemLabelsVisible(s + 1, true); renderer.setSeriesItemLabelsVisible(s + 2, true); renderer.setSeriesItemLabelsVisible(s + 3, true); renderer.setSeriesShapesVisible(s + 1, true); renderer.setSeriesShapesVisible(s + 2, true); renderer.setSeriesShapesVisible(s + 3, true); renderer.setSeriesLinesVisible(s + 1, true); renderer.setSeriesLinesVisible(s + 2, true); renderer.setSeriesLinesVisible(s + 3, true); renderer.setSeriesPaint(s + 1, paints[(i + 1) % paints.length]); renderer.setSeriesPaint(s + 2, paints[(i + 1) % paints.length]); renderer.setSeriesPaint(s + 3, paints[(i + 1) % paints.length]); renderer.setSeriesShape(s + 1, shapes[(i + 1) % shapes.length]); renderer.setSeriesShape(s + 2, shapes[(i + 1) % shapes.length]); renderer.setSeriesShape(s + 3, shapes[(i + 1) % shapes.length]); renderer.setSeriesStroke(s + 2, new BasicStroke(3)); renderer.setSeriesStroke(s + 3, new BasicStroke(1, BasicStroke.CAP_ROUND, BasicStroke.JOIN_ROUND, 1, new float[] { 5f, 5f }, 0)); } return chart; }
From source file:PerformanceGraph.java
/** * Plots the performance graph of the best fitness value so far versus the * number of function calls (NFC)./* w ww .java 2s .c o m*/ * * @param bestFitness A linked hashmap mapping the NFC to the best fitness value * found so far. * @param fitnessFunction The name of the fitness function, used for the title and the * name of the file that is saved, e.g. "De Jong". */ public static void plot(LinkedHashMap<Integer, Double> bestFitness, String fitnessFunction) { /* Create an XYSeries plot */ XYSeries series = new XYSeries("Best Fitness Value Vs. Number of Function Calls"); /* Add the NFC and best fitness value data to the series */ for (Integer NFC : bestFitness.keySet()) { /* Jfreechart crashes if double values are too large! */ if (bestFitness.get(NFC) <= 10E12) { series.add(NFC.doubleValue(), bestFitness.get(NFC).doubleValue()); } } /* Add the x,y series data to the dataset */ XYSeriesCollection dataset = new XYSeriesCollection(); dataset.addSeries(series); /* Plot the data as an X,Y line chart */ JFreeChart chart = ChartFactory.createXYLineChart("Best Fitness Value Vs. Number of Function Calls", "Number of Function Calls (NFC)", "Best Fitness Value", dataset, PlotOrientation.VERTICAL, false, true, false); /* Configure the chart settings such as anti-aliasing, background colour */ chart.setAntiAlias(true); XYPlot plot = chart.getXYPlot(); plot.setBackgroundPaint(Color.WHITE); plot.setDomainGridlinesVisible(true); plot.setRangeGridlinesVisible(true); plot.setRangeGridlinePaint(Color.black); plot.setDomainGridlinePaint(Color.black); /* Set the domain range from 0 to NFC */ NumberAxis domain = (NumberAxis) plot.getDomainAxis(); domain.setRange(0.0, ControlVariables.MAX_FUNCTION_CALLS.doubleValue()); /* Logarithmic range axis */ plot.setRangeAxis(new LogAxis()); /* Set the thickness and colour of the lines */ XYItemRenderer renderer = plot.getRenderer(); BasicStroke thickLine = new BasicStroke(3.0f); renderer.setSeriesStroke(0, thickLine); renderer.setPaint(Color.BLACK); /* Display the plot in a JFrame */ ChartFrame frame = new ChartFrame(fitnessFunction + " Best Fitness Value", chart); frame.setVisible(true); frame.setSize(1000, 600); /* Save the plot as an image named after fitness function try { ChartUtilities.saveChartAsJPEG(new File("plots/" + fitnessFunction + ".jpg"), chart, 1600, 900); } catch (IOException e) { e.printStackTrace(); }*/ }
From source file:org.spf4j.perf.impl.chart.Charts.java
public static JFreeChart createHeatJFreeChart(final String[] dsNames, final double[][] values, final long startTimeMillis, final long stepMillis, final String uom, final String chartName) { final QuantizedXYZDatasetImpl dataSet = new QuantizedXYZDatasetImpl(dsNames, values, startTimeMillis, stepMillis);//from w ww. ja va2 s . c om NumberAxis xAxis = new NumberAxis("Time"); xAxis.setStandardTickUnits(dataSet.createXTickUnits()); xAxis.setLowerMargin(0); xAxis.setUpperMargin(0); xAxis.setVerticalTickLabels(true); NumberAxis yAxis = new NumberAxis(uom); yAxis.setStandardTickUnits(dataSet.createYTickUnits()); yAxis.setLowerMargin(0); yAxis.setUpperMargin(0); XYBlockRenderer renderer = new XYBlockRenderer(); PaintScale scale; if (dataSet.getMinValue() >= dataSet.getMaxValue()) { if (dataSet.getMinValue() == Double.POSITIVE_INFINITY) { scale = new InverseGrayScale(0, 1); } else { scale = new InverseGrayScale(dataSet.getMinValue(), dataSet.getMaxValue() + 1); } } else { scale = new InverseGrayScale(dataSet.getMinValue(), dataSet.getMaxValue()); } renderer.setPaintScale(scale); renderer.setBlockWidth(1); renderer.setBlockHeight(1); XYPlot plot = new XYPlot(dataSet, xAxis, yAxis, renderer); plot.setBackgroundPaint(Color.white); plot.setDomainGridlinesVisible(false); plot.setRangeGridlinesVisible(false); plot.setRangeMinorGridlinesVisible(false); JFreeChart chart = new JFreeChart(chartName, plot); PaintScaleLegend legend = new PaintScaleLegend(scale, new NumberAxis("Count")); legend.setMargin(0, 5, 0, 5); chart.addSubtitle(legend); chart.removeLegend(); chart.setBackgroundPaint(Color.white); return chart; }
From source file:com.javafxpert.neuralnetviz.scenario.PlotUtil.java
private static JFreeChart createChart(XYZDataset dataset, double[] mins, double[] maxs, int nPoints, XYDataset xyData) {/* www .ja v a 2s .co m*/ NumberAxis xAxis = new NumberAxis("X"); xAxis.setRange(mins[0], maxs[0]); NumberAxis yAxis = new NumberAxis("Y"); yAxis.setRange(mins[1], maxs[1]); XYBlockRenderer renderer = new XYBlockRenderer(); renderer.setBlockWidth((maxs[0] - mins[0]) / (nPoints - 1)); renderer.setBlockHeight((maxs[1] - mins[1]) / (nPoints - 1)); PaintScale scale = new GrayPaintScale(0, 1.0); renderer.setPaintScale(scale); XYPlot plot = new XYPlot(dataset, xAxis, yAxis, renderer); plot.setBackgroundPaint(Color.lightGray); plot.setDomainGridlinesVisible(false); plot.setRangeGridlinesVisible(false); plot.setAxisOffset(new RectangleInsets(5, 5, 5, 5)); JFreeChart chart = new JFreeChart("", plot); chart.getXYPlot().getRenderer().setSeriesVisibleInLegend(0, false); NumberAxis scaleAxis = new NumberAxis("Probability (class 0)"); scaleAxis.setAxisLinePaint(Color.white); scaleAxis.setTickMarkPaint(Color.white); scaleAxis.setTickLabelFont(new Font("Dialog", Font.PLAIN, 7)); PaintScaleLegend legend = new PaintScaleLegend(new GrayPaintScale(), scaleAxis); legend.setStripOutlineVisible(false); legend.setSubdivisionCount(20); legend.setAxisLocation(AxisLocation.BOTTOM_OR_LEFT); legend.setAxisOffset(5.0); legend.setMargin(new RectangleInsets(5, 5, 5, 5)); legend.setFrame(new BlockBorder(Color.red)); legend.setPadding(new RectangleInsets(10, 10, 10, 10)); legend.setStripWidth(10); legend.setPosition(RectangleEdge.LEFT); chart.addSubtitle(legend); ChartUtilities.applyCurrentTheme(chart); plot.setDataset(1, xyData); XYLineAndShapeRenderer renderer2 = new XYLineAndShapeRenderer(); renderer2.setBaseLinesVisible(false); plot.setRenderer(1, renderer2); plot.setDatasetRenderingOrder(DatasetRenderingOrder.FORWARD); return chart; }