List of usage examples for org.jfree.data.xy XYSeries XYSeries
public XYSeries(Comparable key)
From source file:PointingMap.java
public void doGet(HttpServletRequest request, HttpServletResponse response) throws ServletException, java.io.IOException { Connection conn = null;// www . ja v a 2 s.c om Statement stmt = null; ResultSet rs = null; ResultSetMetaData rsm = null; OutputStream out = response.getOutputStream(); try { String dbHost = request.getParameter("dbHost"); String dbName = request.getParameter("dbName"); conn = connect(dbHost, dbName); // get & plot target catalog String targetCatQuery = "select " + "ra2000Hours, dec2000Deg " + "from TargetCat limit 200"; stmt = conn.createStatement(); rs = stmt.executeQuery(targetCatQuery); rsm = rs.getMetaData(); //int colCount = rsm.getColumnCount(); XYSeries series = new XYSeries("Target Catalog"); int raColIndex = 1; int decColIndex = 2; while (rs.next()) { series.add(rs.getDouble(raColIndex), rs.getDouble(decColIndex)); } XYDataset data = new XYSeriesCollection(series); stmt.close(); // Get latest primary beam pointing position String latestPointingQuery = "select " + "actId, ts, " + "raHours, decDeg " + "from TscopePointReq " + "where atabeam = 'primary' " + "order by actId desc limit 1"; stmt = conn.createStatement(); rs = stmt.executeQuery(latestPointingQuery); rsm = rs.getMetaData(); //int colCount = rsm.getColumnCount(); int actId = -1; String timeString = ""; double pointingRaHours = -1; double pointingDecDeg = -1; int actIdIndex = 1; int timeIndex = 2; raColIndex = 3; decColIndex = 4; while (rs.next()) { actId = rs.getInt(actIdIndex); timeString = rs.getString(timeIndex); pointingRaHours = rs.getDouble(raColIndex); pointingDecDeg = rs.getDouble(decColIndex); } String plotTitle = "ATA Primary Pointing" + " (Act Id: " + actId + ")" + " " + timeString; JFreeChart chart = ChartFactory.createScatterPlot(plotTitle, "RA (Hours)", // x-axis label "Dec (Deg)", // y axis label data, PlotOrientation.VERTICAL, false, // legend true, // tooltips false // urls ); // plot RA hours with higher values to the left //chart.getXYPlot().getDomainAxis().setInverted(true); chart.getXYPlot().getDomainAxis().setLowerBound(-1); chart.getXYPlot().getDomainAxis().setUpperBound(25); // increase axis label fonts for better readability Font axisFont = new Font("Serif", Font.BOLD, 14); chart.getXYPlot().getDomainAxis().setLabelFont(axisFont); chart.getXYPlot().getDomainAxis().setTickLabelFont(axisFont); chart.getXYPlot().getRangeAxis().setLabelFont(axisFont); chart.getXYPlot().getRangeAxis().setTickLabelFont(axisFont); // show current pointing as crosshairs chart.getXYPlot().setDomainCrosshairValue(pointingRaHours); chart.getXYPlot().setRangeCrosshairValue(pointingDecDeg); chart.getXYPlot().setDomainCrosshairVisible(true); chart.getXYPlot().setRangeCrosshairVisible(true); chart.getXYPlot().setDomainCrosshairPaint(Color.BLACK); chart.getXYPlot().setRangeCrosshairPaint(Color.BLACK); Stroke stroke = new BasicStroke(2); chart.getXYPlot().setDomainCrosshairStroke(stroke); chart.getXYPlot().setRangeCrosshairStroke(stroke); // set hat creek dec range chart.getXYPlot().getRangeAxis().setLowerBound(-40); chart.getXYPlot().getRangeAxis().setUpperBound(90); XYLineAndShapeRenderer renderer = (XYLineAndShapeRenderer) chart.getXYPlot().getRenderer(); int seriesIndex = 0; renderer.setSeriesPaint(seriesIndex, Color.BLUE); Shape circularShape = new Ellipse2D.Double(-1.0, -1.0, 1.2, 1.2); renderer.setSeriesShape(seriesIndex, circularShape); // Default shape [0-9]: 0=square 1=circle 2=uptriangle 3=diamond... //renderer.setShape(DefaultDrawingSupplier.DEFAULT_SHAPE_SEQUENCE[1]); response.setContentType("image/png"); int width = 800; int height = 600; ChartUtilities.writeChartAsPNG(out, chart, width, height); } catch (Exception e) { throw new ServletException(e); } finally { try { if (stmt != null) { stmt.close(); } if (conn != null) { conn.close(); } } catch (SQLException sql) { } } }
From source file:org.optaplanner.benchmark.impl.statistic.calculatecount.CalculateCountProblemStatistic.java
@Override public void writeGraphFiles(BenchmarkReport benchmarkReport) { Locale locale = benchmarkReport.getLocale(); NumberAxis xAxis = new NumberAxis("Time spent"); xAxis.setNumberFormatOverride(new MillisecondsSpentNumberFormat(locale)); NumberAxis yAxis = new NumberAxis("Calculate count per second"); yAxis.setNumberFormatOverride(NumberFormat.getInstance(locale)); yAxis.setAutoRangeIncludesZero(false); XYPlot plot = new XYPlot(null, xAxis, yAxis, null); plot.setOrientation(PlotOrientation.VERTICAL); int seriesIndex = 0; for (SingleBenchmarkResult singleBenchmarkResult : problemBenchmarkResult.getSingleBenchmarkResultList()) { XYSeries series = new XYSeries( singleBenchmarkResult.getSolverBenchmarkResult().getNameWithFavoriteSuffix()); XYItemRenderer renderer = new XYLineAndShapeRenderer(); if (singleBenchmarkResult.isSuccess()) { CalculateCountSingleStatistic singleStatistic = (CalculateCountSingleStatistic) singleBenchmarkResult .getSingleStatistic(problemStatisticType); for (CalculateCountStatisticPoint point : singleStatistic.getPointList()) { long timeMillisSpent = point.getTimeMillisSpent(); long calculateCountPerSecond = point.getCalculateCountPerSecond(); series.add(timeMillisSpent, calculateCountPerSecond); }// ww w . j av a 2 s .c o m } plot.setDataset(seriesIndex, new XYSeriesCollection(series)); if (singleBenchmarkResult.getSolverBenchmarkResult().isFavorite()) { // Make the favorite more obvious renderer.setSeriesStroke(0, new BasicStroke(2.0f)); } plot.setRenderer(seriesIndex, renderer); seriesIndex++; } JFreeChart chart = new JFreeChart(problemBenchmarkResult.getName() + " calculate count statistic", JFreeChart.DEFAULT_TITLE_FONT, plot, true); graphFile = writeChartToImageFile(chart, problemBenchmarkResult.getName() + "CalculateCountStatistic"); }
From source file:org.jfree.chart.demo.XYLineAndShapeRendererDemo.java
/** * Creates a sample dataset./* w w w . ja v a 2 s . co m*/ * * @return A dataset. */ private XYDataset createSampleDataset() { XYSeries series1 = new XYSeries("Series 1"); series1.add(1.0, 3.3); series1.add(2.0, 4.4); series1.add(3.0, 1.7); XYSeries series2 = new XYSeries("Series 2"); series2.add(1.0, 7.3); series2.add(2.0, 6.8); series2.add(3.0, 9.6); series2.add(4.0, 5.6); XYSeriesCollection dataset = new XYSeriesCollection(); dataset.addSeries(series1); dataset.addSeries(series2); return dataset; }
From source file:wm.edu.cs420.Data.ChartBuilder.java
/** * Creates a sample dataset./*from ww w .j a v a 2s .c o m*/ * * @return a sample dataset. */ public XYDataset createTestDataset() { final XYSeries series1 = new XYSeries(""); series1.add(1.0, 1.0); series1.add(2.0, 4.0); series1.add(3.0, 3.0); series1.add(4.0, 5.0); series1.add(5.0, 5.0); series1.add(6.0, 7.0); series1.add(7.0, 7.0); series1.add(8.0, 8.0); final XYSeriesCollection dataset = new XYSeriesCollection(); dataset.addSeries(series1); return dataset; }
From source file:org.owasp.benchmark.score.report.ScatterHome.java
private JFreeChart display(String title, int height, Set<Report> toolResults) { JFrame f = new JFrame(title); f.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); //averages// www . jav a 2s . c om ArrayList<Double> averageCommercialFalseRates = new ArrayList<Double>(); ArrayList<Double> averageCommercialTrueRates = new ArrayList<Double>(); XYSeriesCollection dataset = new XYSeriesCollection(); XYSeries series = new XYSeries("Scores"); for (Report toolReport : toolResults) { if (!toolReport.isCommercial()) { OverallResults overallResults = toolReport.getOverallResults(); series.add(overallResults.getFalsePositiveRate() * 100, overallResults.getTruePositiveRate() * 100); if (toolReport.isCommercial()) { averageCommercialFalseRates.add(overallResults.getFalsePositiveRate()); averageCommercialTrueRates.add(overallResults.getTruePositiveRate()); } } } int commercialToolCount = 0; for (Report toolReport : toolResults) { if (toolReport.isCommercial()) { commercialToolCount++; OverallResults overallResults = toolReport.getOverallResults(); if (!BenchmarkScore.showAveOnlyMode) { series.add(overallResults.getFalsePositiveRate() * 100, overallResults.getTruePositiveRate() * 100); } if (toolReport.isCommercial()) { averageCommercialFalseRates.add(overallResults.getFalsePositiveRate()); averageCommercialTrueRates.add(overallResults.getTruePositiveRate()); } } } for (double d : averageCommercialFalseRates) { afr += d; } afr = afr / averageCommercialFalseRates.size(); for (double d : averageCommercialTrueRates) { atr += d; } atr = atr / averageCommercialTrueRates.size(); if (commercialToolCount > 1 || (BenchmarkScore.showAveOnlyMode && commercialToolCount == 1)) { series.add(afr * 100, atr * 100); } dataset.addSeries(series); chart = ChartFactory.createScatterPlot(title, "False Positive Rate", "True Positive Rate", dataset, PlotOrientation.VERTICAL, true, true, false); theme.apply(chart); XYPlot xyplot = chart.getXYPlot(); initializePlot(xyplot); makeDataLabels(toolResults, xyplot); makeLegend(toolResults, 103, 100.5, dataset, xyplot); for (XYDataItem item : (List<XYDataItem>) series.getItems()) { double x = item.getX().doubleValue(); double y = item.getY().doubleValue(); double z = (x + y) / 2; XYLineAnnotation score = new XYLineAnnotation(x, y, z, z, dashed, Color.blue); xyplot.addAnnotation(score); } ChartPanel cp = new ChartPanel(chart, height, height, 400, 400, 1200, 1200, false, false, false, false, false, false); f.add(cp); f.pack(); f.setLocationRelativeTo(null); // f.setVisible(true); return chart; }
From source file:org.usfirst.frc.team2084.neuralnetwork.HeadingNeuralNetworkTrainer.java
public HeadingNeuralNetworkTrainer() { outputGraphNetworkSeries = new XYSeries("Network Prediction"); outputGraphDataSeries = new XYSeries("Error"); final XYSeriesCollection data = new XYSeriesCollection(); data.addSeries(outputGraphDataSeries); data.addSeries(outputGraphNetworkSeries); outputGraph = ChartFactory.createXYLineChart("Error vs. Output", "Time", "Error", data, PlotOrientation.VERTICAL, true, true, false); NumberAxis xAxis = new NumberAxis(); xAxis.setRange(new Range(-Math.PI, Math.PI)); xAxis.setAutoRange(false);/*from w w w .j a va 2s . c o m*/ NumberAxis yAxis = new NumberAxis(); yAxis.setRange(new Range(-1, 1)); XYPlot plot = (XYPlot) outputGraph.getPlot(); plot.setDomainAxis(xAxis); plot.setRangeAxis(yAxis); network = new Network(new int[] { 1, 5, 1 }, eta, momentum, new TransferFunction.HyperbolicTangent()); try { SwingUtilities.invokeAndWait(() -> { frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); final Container content = frame.getContentPane(); content.setLayout(new BorderLayout()); outputGraphPanel = new ChartPanel(outputGraph); outputGraphPanel.setDomainZoomable(false); outputGraphPanel.setRangeZoomable(false); graphPanel.add(outputGraphPanel); graphPanel.setLayout(new GridLayout(1, 1)); content.add(graphPanel, BorderLayout.CENTER); { JLabel etaLabel = new JLabel("Eta:"); etaLabel.setLabelFor(etaField); etaField.setText(Double.toString(network.getEta())); etaField.setColumns(5); etaField.addPropertyChangeListener("value", (evt) -> eta = ((Number) evt.getNewValue()).doubleValue()); controlPanel.add(etaLabel); controlPanel.add(etaField); JLabel momentumLabel = new JLabel("Momentum:"); momentumLabel.setLabelFor(etaField); momentumField.setText(Double.toString(network.getMomentum())); momentumField.setColumns(5); momentumField.addPropertyChangeListener("value", (evt) -> momentum = ((Number) evt.getNewValue()).doubleValue()); controlPanel.add(momentumLabel); controlPanel.add(momentumField); JLabel iterationsLabel = new JLabel("Iterations:"); iterationsLabel.setLabelFor(iterationsField); iterationsField.setText(Integer.toString(iterations)); iterationsField.setColumns(10); iterationsField.addPropertyChangeListener("value", (evt) -> iterations = ((Number) evt.getNewValue()).intValue()); controlPanel.add(iterationsLabel); controlPanel.add(iterationsField); } chooseDataButton.addActionListener((e) -> { if (dataDirectoryChooser.showOpenDialog(frame) == JFileChooser.APPROVE_OPTION) { dataDirectory = dataDirectoryChooser.getSelectedFile(); displayData(); } }); controlPanel.add(chooseDataButton); trainButton.addActionListener((e) -> trainNetwork()); controlPanel.add(trainButton); saveButton.addActionListener((e) -> { saveNetwork(); }); controlPanel.add(saveButton); content.add(controlPanel, BorderLayout.SOUTH); dataDirectoryChooser.setFileSelectionMode(JFileChooser.DIRECTORIES_ONLY); frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); frame.pack(); frame.setVisible(true); }); } catch (InvocationTargetException | InterruptedException e) { e.printStackTrace(); } }
From source file:org.matsim.counts.algorithms.graphs.CountsSimReal24Graph.java
@Override public JFreeChart createChart(final int nbr) { XYSeriesCollection dataset0 = new XYSeriesCollection(); XYSeries series = new XYSeries("MATSim volumes"); // easier to use another dataset XYSeriesCollection dataset_outliers = new XYSeriesCollection(); XYSeries series_outliers = new XYSeries("MATSim outliers"); CustomXYURLGenerator url_gen = new CustomXYURLGenerator(); CustomXYToolTipGenerator tt_gen = new CustomXYToolTipGenerator(); final ArrayList<String> urls = new ArrayList<>(); final ArrayList<String> tooltips = new ArrayList<>(); List<Comp> comps = new Vector<>(); //-------------------- CountSimComparisonLinkFilter linkFilter = new CountSimComparisonLinkFilter(this.ccl_); final Vector<Id<Link>> linkIds = new CountSimComparisonLinkFilter(this.ccl_).getLinkIds(); Iterator<Id<Link>> id_it = linkIds.iterator(); double maxCountValue = 0.1; double maxSimValue = 0.1; // yyyy PtCountsKMLWriterTest.testPtAlightKMLCreation never touches these and then leads to an exception later // when they are zero. Don't know why. kai, sep'16 while (id_it.hasNext()) { Id<Link> id = id_it.next(); double countVal = linkFilter.getAggregatedCountValue(id); double simVal = linkFilter.getAggregatedSimValue(id); if (countVal > 100.0 && simVal > 100.0) { if (countVal > maxCountValue) maxCountValue = countVal; if (simVal > maxSimValue) maxSimValue = simVal;/*from w w w .j a v a 2 s . c o m*/ series.add(countVal, simVal); comps.add(new Comp(countVal, "link" + id + ".html", "Link " + id + "; " + "Count: " + countVal + ", Sim: " + simVal)); } else { /* values with simVal<100.0 or countVal<100.0 are drawn on the x==100 or/and y==100-line */ countVal = Math.max(100.0, countVal); simVal = Math.max(100.0, simVal); series_outliers.add(countVal, simVal); if (countVal > maxCountValue) maxCountValue = countVal; if (simVal > maxSimValue) maxSimValue = simVal; } } //while dataset0.addSeries(series); dataset_outliers.addSeries(series_outliers); Collections.sort(comps, new MyComparator()); for (Iterator<Comp> iter = comps.iterator(); iter.hasNext();) { Comp cp = iter.next(); urls.add(cp.getURL()); tooltips.add(cp.getTooltip()); } url_gen.addURLSeries(urls); tt_gen.addToolTipSeries(tooltips); String title = "Avg. Weekday Traffic Volumes, Iteration: " + this.iteration_; this.setChartTitle(title); this.chart_ = ChartFactory.createXYLineChart(title, "Count Volumes", // x axis label "Sim Volumes", // y axis label dataset0, // data PlotOrientation.VERTICAL, false, // include legend true, // tooltips true // urls ); XYPlot plot = this.chart_.getXYPlot(); final LogarithmicAxis axis_x = new LogarithmicAxis("Count Volumes [veh/24h]"); final LogarithmicAxis axis_y = new LogarithmicAxis("Sim Volumes [veh/24h]"); axis_x.setAllowNegativesFlag(false); axis_y.setAllowNegativesFlag(false); //regular values XYLineAndShapeRenderer renderer = new XYLineAndShapeRenderer(); renderer.setLinesVisible(false); renderer.setURLGenerator(url_gen); renderer.setSeriesPaint(0, Color.black); renderer.setSeriesToolTipGenerator(0, tt_gen); renderer.setSeriesShape(0, new Rectangle2D.Double(-1.5, -1.5, 3.0, 3.0)); //outliers XYLineAndShapeRenderer renderer2 = new XYLineAndShapeRenderer(); renderer2.setLinesVisible(false); renderer2.setSeriesPaint(0, Color.red); renderer2.setSeriesShape(0, new Ellipse2D.Double(-3.0, -3.0, 6.0, 6.0)); // error band DefaultXYDataset dataset1 = new DefaultXYDataset(); Gbl.assertIf(maxCountValue > 0.); dataset1.addSeries("f1x", new double[][] { { 100.0, maxCountValue }, { 100.0, maxCountValue } }); dataset1.addSeries("f2x", new double[][] { { 100.0, maxCountValue }, { 200.0, 2 * maxCountValue } }); dataset1.addSeries("f05x", new double[][] { { 200.0, maxCountValue }, { 100.0, 0.5 * maxCountValue } }); XYLineAndShapeRenderer renderer3 = new XYLineAndShapeRenderer(); renderer3.setShapesVisible(false); renderer3.setSeriesPaint(0, Color.blue); renderer3.setSeriesPaint(1, Color.blue); renderer3.setSeriesPaint(2, Color.blue); renderer3.setBaseSeriesVisibleInLegend(false); renderer3.setSeriesItemLabelsVisible(0, true); renderer3.setSeriesItemLabelsVisible(1, false); renderer3.setSeriesItemLabelsVisible(2, false); XYTextAnnotation annotation0 = new XYTextAnnotation("2.0 count", maxCountValue, 2 * maxCountValue); annotation0.setFont(new Font("SansSerif", Font.BOLD, 11)); plot.addAnnotation(annotation0); XYTextAnnotation annotation1 = new XYTextAnnotation("count", maxCountValue, maxCountValue); annotation1.setFont(new Font("SansSerif", Font.BOLD, 11)); plot.addAnnotation(annotation1); XYTextAnnotation annotation2 = new XYTextAnnotation("0.5 count", maxCountValue, 0.5 * maxCountValue); annotation2.setFont(new Font("SansSerif", Font.BOLD, 11)); plot.addAnnotation(annotation2); plot.setDomainAxis(axis_x); plot.setRangeAxis(axis_y); plot.setRenderer(0, renderer); plot.setRenderer(1, renderer2); plot.setDataset(1, dataset_outliers); plot.setRenderer(2, renderer3); plot.setDataset(2, dataset1); //plot.getRangeAxis().setRange(1.0, 19000.0); //plot.getDomainAxis().setRange(1.0, 19000.0); return this.chart_; }
From source file:org.optaplanner.benchmark.impl.statistic.bestsolutionmutation.BestSolutionMutationProblemStatistic.java
@Override public void writeGraphFiles(BenchmarkReport benchmarkReport) { Locale locale = benchmarkReport.getLocale(); NumberAxis xAxis = new NumberAxis("Time spent"); xAxis.setNumberFormatOverride(new MillisecondsSpentNumberFormat(locale)); NumberAxis yAxis = new NumberAxis("Best solution mutation count"); yAxis.setNumberFormatOverride(NumberFormat.getInstance(locale)); yAxis.setAutoRangeIncludesZero(true); XYPlot plot = new XYPlot(null, xAxis, yAxis, null); plot.setOrientation(PlotOrientation.VERTICAL); int seriesIndex = 0; for (SingleBenchmarkResult singleBenchmarkResult : problemBenchmarkResult.getSingleBenchmarkResultList()) { XYSeries series = new XYSeries( singleBenchmarkResult.getSolverBenchmarkResult().getNameWithFavoriteSuffix()); XYItemRenderer renderer = new XYLineAndShapeRenderer(); if (singleBenchmarkResult.isSuccess()) { BestSolutionMutationSingleStatistic singleStatistic = (BestSolutionMutationSingleStatistic) singleBenchmarkResult .getSingleStatistic(problemStatisticType); for (BestSolutionMutationStatisticPoint point : singleStatistic.getPointList()) { long timeMillisSpent = point.getTimeMillisSpent(); long mutationCount = point.getMutationCount(); series.add(timeMillisSpent, mutationCount); }/* ww w . ja va 2 s .co m*/ } plot.setDataset(seriesIndex, new XYSeriesCollection(series)); if (singleBenchmarkResult.getSolverBenchmarkResult().isFavorite()) { // Make the favorite more obvious renderer.setSeriesStroke(0, new BasicStroke(2.0f)); } plot.setRenderer(seriesIndex, renderer); seriesIndex++; } JFreeChart chart = new JFreeChart(problemBenchmarkResult.getName() + " best solution mutation statistic", JFreeChart.DEFAULT_TITLE_FONT, plot, true); graphFile = writeChartToImageFile(chart, problemBenchmarkResult.getName() + "BestSolutionMutationStatistic"); }
From source file:com.choicemaker.cm.modelmaker.gui.panels.HoldVsAccuracyPlotPanel.java
private void buildPanel() { XYSeriesCollection dataset = new XYSeriesCollection(); String title = ChoiceMakerCoreMessages.m.formatMessage("train.gui.modelmaker.panel.holdvsacc.title"); data = new XYSeries(title); dataset.addSeries(data);//from w w w . j av a 2 s .co m final PlotOrientation orientation = PlotOrientation.VERTICAL; chart = ChartFactory.createXYLineChart(title, ChoiceMakerCoreMessages.m.formatMessage("train.gui.modelmaker.panel.holdvsacc.cm.accuracy"), ChoiceMakerCoreMessages.m.formatMessage("train.gui.modelmaker.panel.holdvsacc.holdpercentage"), dataset, orientation, true, true, true); MouseListener tableMouseListener = new MouseAdapter() { public void mousePressed(MouseEvent e) { Point origin = e.getPoint(); JTable src = (JTable) e.getSource(); int row = src.rowAtPoint(origin); int col = src.columnAtPoint(origin); ModelMaker mm = parent.getModelMaker(); if (src == accuracyTable) { if (col < 2) { if (!Float.isNaN(accuracyData[row][2]) && !Float.isNaN(accuracyData[row][3])) mm.setThresholds(new Thresholds(accuracyData[row][2], accuracyData[row][3])); } else if (col == 2) { if (!Float.isNaN(accuracyData[row][2])) mm.setDifferThreshold(accuracyData[row][2]); } else { if (!Float.isNaN(accuracyData[row][3])) mm.setMatchThreshold(accuracyData[row][3]); } } else { if (col < 2) { if (!Float.isNaN(hrData[row][2]) && !Float.isNaN(hrData[row][3])) mm.setThresholds(new Thresholds(hrData[row][2], hrData[row][3])); } else if (col == 2) { if (!Float.isNaN(hrData[row][2])) mm.setDifferThreshold(hrData[row][2]); } else { if (!Float.isNaN(hrData[row][3])) mm.setMatchThreshold(hrData[row][3]); } } } }; chart.setBackgroundPaint(getBackground()); accuracyTable = new AccuracyTable(true, accuracies); accuracyTable.addMouseListener(tableMouseListener); accuracyPanel = getPanel(accuracyTable, ChoiceMakerCoreMessages.m.formatMessage("train.gui.modelmaker.panel.holdvsacc.table.hrvsacc")); hrTable = new AccuracyTable(false, hrs); hrTable.addMouseListener(tableMouseListener); hrPanel = getPanel(hrTable, ChoiceMakerCoreMessages.m.formatMessage("train.gui.modelmaker.panel.holdvsacc.table.accvshr")); accuracyTable.setEnabled(false); hrTable.setEnabled(false); }
From source file:org.matsim.counts.algorithms.graphs.CountsSimRealPerHourGraph.java
/** * @param hour A value in 1..24, 1 for 0 a.m. to 1 a.m., 2 for 1 a.m. to 2 a.m. ... *///from w w w . jav a2 s. c o m @Override public JFreeChart createChart(final int hour) { this.hour = hour; XYSeriesCollection dataset0 = new XYSeriesCollection(); XYSeries series = new XYSeries("MATSim volumes"); // easier to use another dataset XYSeriesCollection dataset_outliers = new XYSeriesCollection(); XYSeries series_outliers = new XYSeries("MATSim outliers"); CustomXYURLGenerator url_gen = new CustomXYURLGenerator(); CustomXYToolTipGenerator tt_gen = new CustomXYToolTipGenerator(); final ArrayList<String> urls = new ArrayList<String>(); final ArrayList<String> tooltips = new ArrayList<String>(); List<Comp> comps = new Vector<Comp>(); Iterator<CountSimComparison> l_it = this.ccl_.iterator(); //int elementCounter=0; while (l_it.hasNext()) { CountSimComparison cc = l_it.next(); /* values with simVal==0.0 or countVal==0.0 are drawn on the x==1 or/and y==1-line * Such values are the result of a poor simulation run, but they can also represent * a valid result (closing summer road during winter time) * */ if (cc.getHour() == hour) { //elementCounter++; double realVal = 1.0; double simVal = 1.0; if (cc.getCountValue() > 0.0 && cc.getSimulationValue() > 0.0) { realVal = cc.getCountValue(); simVal = cc.getSimulationValue(); series.add(realVal, simVal); comps.add(new Comp(realVal, "link" + cc.getId() + ".html", "Link " + cc.getId() + "; " + "Count: " + realVal + ", Sim: " + simVal)); } else { realVal = Math.max(1.0, cc.getCountValue()); simVal = Math.max(1.0, cc.getSimulationValue()); series_outliers.add(realVal, simVal); } } //if } //while dataset0.addSeries(series); dataset_outliers.addSeries(series_outliers); /* first we have to sort the vector according to the rendering ordering * (which is the x value). * REALLY??? After hours of searching no better solution found! * please help! */ Collections.sort(comps, new MyComparator()); for (Iterator<Comp> iter = comps.iterator(); iter.hasNext();) { Comp cp = iter.next(); urls.add(cp.getURL()); tooltips.add(cp.getTooltip()); } url_gen.addURLSeries(urls); tt_gen.addToolTipSeries(tooltips); String title = "Volumes " + (hour - 1) + ":00 - " + (hour) + ":00, Iteration: " + this.iteration_; this.setChartTitle(title); this.chart_ = ChartFactory.createXYLineChart(title, "Count Volumes [veh/h]", // x axis label "Sim Volumes [veh/h]", // y axis label dataset0, // data PlotOrientation.VERTICAL, false, // include legend true, // tooltips true // urls ); XYPlot plot = this.chart_.getXYPlot(); final LogarithmicAxis axis_x = new LogarithmicAxis("Count Volumes [veh/h]"); final LogarithmicAxis axis_y = new LogarithmicAxis("Sim Volumes [veh/h]"); axis_x.setAllowNegativesFlag(false); axis_y.setAllowNegativesFlag(false); //regular values XYLineAndShapeRenderer renderer = new XYLineAndShapeRenderer(); renderer.setLinesVisible(false); renderer.setURLGenerator(url_gen); renderer.setSeriesPaint(0, Color.black); renderer.setSeriesToolTipGenerator(0, tt_gen); renderer.setSeriesShape(0, new Rectangle2D.Double(-1.5, -1.5, 3.0, 3.0)); //outliers XYLineAndShapeRenderer renderer2 = new XYLineAndShapeRenderer(); renderer2.setLinesVisible(false); renderer2.setSeriesPaint(0, Color.red); renderer2.setSeriesShape(0, new Ellipse2D.Double(-3.0, -3.0, 6.0, 6.0)); // error band DefaultXYDataset dataset1 = new DefaultXYDataset(); dataset1.addSeries("f1x", new double[][] { { 1.0, 10000.0 }, { 1.0, 10000.0 } }); dataset1.addSeries("f2x", new double[][] { { 1.0, 10000.0 }, { 2.0, 20000.0 } }); dataset1.addSeries("f05x", new double[][] { { 2.0, 10000.0 }, { 1.0, 5000.0 } }); XYLineAndShapeRenderer renderer3 = new XYLineAndShapeRenderer(); renderer3.setShapesVisible(false); renderer3.setSeriesPaint(0, Color.blue); renderer3.setSeriesPaint(1, Color.blue); renderer3.setSeriesPaint(2, Color.blue); renderer3.setBaseSeriesVisibleInLegend(false); renderer3.setSeriesItemLabelsVisible(0, true); renderer3.setSeriesItemLabelsVisible(1, false); renderer3.setSeriesItemLabelsVisible(2, false); XYTextAnnotation annotation0 = new XYTextAnnotation("2.0 count", 12000.0, 15500.0); annotation0.setFont(new Font("SansSerif", Font.BOLD, 11)); plot.addAnnotation(annotation0); XYTextAnnotation annotation1 = new XYTextAnnotation("count", 13000.0, 10000.0); annotation1.setFont(new Font("SansSerif", Font.BOLD, 11)); plot.addAnnotation(annotation1); XYTextAnnotation annotation2 = new XYTextAnnotation("0.5 count", 11000.0, 3500.0); annotation2.setFont(new Font("SansSerif", Font.BOLD, 11)); plot.addAnnotation(annotation2); plot.setDomainAxis(axis_x); plot.setRangeAxis(axis_y); plot.setRenderer(0, renderer); plot.setRenderer(1, renderer2); plot.setDataset(1, dataset_outliers); plot.setRenderer(2, renderer3); plot.setDataset(2, dataset1); plot.getRangeAxis().setRange(1.0, 19000.0); plot.getDomainAxis().setRange(1.0, 19000.0); return this.chart_; }