List of usage examples for org.jfree.data.xy XYIntervalSeriesCollection getSeries
public XYIntervalSeries getSeries(int series)
From source file:org.jfree.data.xy.XYIntervalSeriesCollectionTest.java
/** * A test for bug report 1170825 (originally affected XYSeriesCollection, * this test is just copied over).// w ww . ja v a 2 s . com */ @Test public void test1170825() { XYIntervalSeries s1 = new XYIntervalSeries("Series1"); XYIntervalSeriesCollection dataset = new XYIntervalSeriesCollection(); dataset.addSeries(s1); try { /* XYSeries s = */ dataset.getSeries(1); } catch (IllegalArgumentException e) { // correct outcome } catch (IndexOutOfBoundsException e) { assertTrue(false); // wrong outcome } }
From source file:org.jfree.data.xy.junit.XYIntervalSeriesCollectionTest.java
/** * A test for bug report 1170825 (originally affected XYSeriesCollection, * this test is just copied over).// w w w. j a v a2 s . c om */ public void test1170825() { XYIntervalSeries s1 = new XYIntervalSeries("Series1"); XYIntervalSeriesCollection dataset = new XYIntervalSeriesCollection(); dataset.addSeries(s1); try { /* XYSeries s = */ dataset.getSeries(1); } catch (IllegalArgumentException e) { // correct outcome } catch (IndexOutOfBoundsException e) { assertTrue(false); // wrong outcome } }
From source file:userinterface.graph.Histogram.java
/** * Add custom tool tip for the Histogram to show more info *///from w w w. j av a 2s. c om public void addToolTip() { ((ClusteredXYBarRenderer) plot.getRenderer()).setBaseToolTipGenerator(new XYToolTipGenerator() { @Override public String generateToolTip(XYDataset dataset, int seriesIndex, int item) { XYIntervalSeriesCollection collection = (XYIntervalSeriesCollection) dataset; XYIntervalSeries series = collection.getSeries(seriesIndex); double minX = series.getXLowValue(item); double maxX = series.getXHighValue(item); double height = series.getYValue(item); StringBuilder stringBuilder = new StringBuilder(); stringBuilder.append(String.format("<html><p style='color:#0000ff;'>Prop: '%s'</p>", dataset.getSeriesKey(seriesIndex))); stringBuilder.append("<table style=\"width:100%\">"); stringBuilder.append( "<tr><td> Min range: </td><td>" + (Math.round(minX * 10000.0) / 10000.0) + "</td></tr>"); stringBuilder.append( "<tr><td> Max range: </td><td>" + (Math.round(maxX * 10000.0) / 10000.0) + "</td></tr>"); stringBuilder.append("<tr><td> Number of states: </td><td>" + height + "</td></tr></table>"); stringBuilder.append("</html>"); return stringBuilder.toString(); } }); }
From source file:com.att.aro.ui.view.diagnostictab.plot.NetworkTypePlot.java
@Override public void populate(XYPlot plot, AROTraceData analysis) { plot.setDataset(new XYIntervalSeriesCollection()); if (analysis == null) { logger.info("no trace data here"); } else {/*from w w w . ja v a 2 s. c om*/ if (analysis.getAnalyzerResult().getTraceresult().getTraceResultType() == TraceResultType.TRACE_FILE) { logger.info("no trace folder data here"); } else { TraceDirectoryResult traceresult = (TraceDirectoryResult) analysis.getAnalyzerResult() .getTraceresult(); final XYIntervalSeriesCollection networkDataSeries = new XYIntervalSeriesCollection(); final Map<NetworkType, XYIntervalSeries> seriesMap = new EnumMap<NetworkType, XYIntervalSeries>( NetworkType.class); createDataSeriesForAllNetworkTypes(seriesMap, networkDataSeries); Iterator<NetworkBearerTypeInfo> iter = traceresult.getNetworkTypeInfos().iterator(); if (iter.hasNext()) { while (iter.hasNext()) { NetworkBearerTypeInfo networkInfo = iter.next(); if (networkInfo.getNetworkType() != NetworkType.none) { seriesMap.get(networkInfo.getNetworkType()).add(networkInfo.getBeginTimestamp(), networkInfo.getBeginTimestamp(), networkInfo.getEndTimestamp(), 0.5, 0, 1); } } } else { NetworkType nt = traceresult.getNetworkType(); if (nt != null && nt != NetworkType.none) { seriesMap.get(nt).add(0, 0, traceresult.getTraceDuration(), 0.5, 0, 1); } } XYItemRenderer renderer = plot.getRenderer(); setRenderingColorForDataSeries(renderer, networkDataSeries); // Assign ToolTip to renderer renderer.setBaseToolTipGenerator(new XYToolTipGenerator() { @Override public String generateToolTip(XYDataset dataset, int series, int item) { NetworkType networkType = (NetworkType) networkDataSeries.getSeries(series).getKey(); return MessageFormat.format(ResourceBundleHelper.getMessageString("network.tooltip"), dataset.getX(series, item), ResourceBundleHelper.getEnumString(networkType)); } }); plot.setDataset(networkDataSeries); } } // return plot; }
From source file:weka.classifiers.timeseries.eval.graph.JFreeChartDriver.java
protected JFreeChart getPredictedTargetsChart(TSForecaster forecaster, ErrorModule preds, List<String> targetNames, int stepNumber, int instanceNumOffset, Instances data) { if (forecaster instanceof TSLagUser && data != null) { TSLagMaker lagMaker = ((TSLagUser) forecaster).getTSLagMaker(); if (lagMaker.getAdjustForTrends() && !lagMaker.isUsingAnArtificialTimeIndex()) { // fill in any missing time stamps only data = new Instances(data); data = weka.classifiers.timeseries.core.Utils.replaceMissing(data, null, lagMaker.getTimeStampField(), true, lagMaker.getPeriodicity(), lagMaker.getSkipEntries()); }/* w w w . j a v a2 s. c om*/ } // set up a collection of predicted and actual series XYIntervalSeriesCollection xyDataset = new XYIntervalSeriesCollection(); for (String target : targetNames) { XYIntervalSeries targetSeries = new XYIntervalSeries(target + "-actual", false, false); xyDataset.addSeries(targetSeries); targetSeries = new XYIntervalSeries(target + "-predicted", false, false); xyDataset.addSeries(targetSeries); } ValueAxis timeAxis = null; NumberAxis valueAxis = new NumberAxis(""); valueAxis.setAutoRangeIncludesZero(false); int timeIndex = -1; boolean timeAxisIsDate = false; if (forecaster instanceof TSLagUser && data != null) { TSLagMaker lagMaker = ((TSLagUser) forecaster).getTSLagMaker(); if (!lagMaker.isUsingAnArtificialTimeIndex() && lagMaker.getAdjustForTrends()) { String timeName = lagMaker.getTimeStampField(); if (data.attribute(timeName).isDate()) { timeAxis = new DateAxis(""); timeAxisIsDate = true; timeIndex = data.attribute(timeName).index(); } } } if (timeAxis == null) { timeAxis = new NumberAxis(""); ((NumberAxis) timeAxis).setAutoRangeIncludesZero(false); } // now populate the series boolean hasConfidenceIntervals = false; for (int i = 0; i < targetNames.size(); i++) { String targetName = targetNames.get(i); List<NumericPrediction> predsForI = preds.getPredictionsForTarget(targetName); int predIndex = xyDataset.indexOf(targetName + "-predicted"); int actualIndex = xyDataset.indexOf(targetName + "-actual"); XYIntervalSeries predSeries = xyDataset.getSeries(predIndex); XYIntervalSeries actualSeries = xyDataset.getSeries(actualIndex); for (int j = 0; j < predsForI.size(); j++) { double x = Utils.missingValue(); if (timeAxisIsDate) { if (instanceNumOffset + j + stepNumber - 1 < data.numInstances()) { x = data.instance(instanceNumOffset + j + stepNumber - 1).value(timeIndex); } } else { x = instanceNumOffset + j + stepNumber; } double yPredicted = predsForI.get(j).predicted(); double yHigh = yPredicted; double yLow = yPredicted; double[][] conf = predsForI.get(j).predictionIntervals(); if (conf.length > 0) { yLow = conf[0][0]; yHigh = conf[0][1]; hasConfidenceIntervals = true; } if (!Utils.isMissingValue(x) && !Utils.isMissingValue(yPredicted)) { if (predSeries != null) { predSeries.add(x, x, x, yPredicted, yLow, yHigh); } // System.err.println("* " + yPredicted + " " + x); } double yActual = predsForI.get(j).actual(); if (!Utils.isMissingValue(x) && !Utils.isMissingValue(yActual)) { if (actualSeries != null) { actualSeries.add(x, x, x, yActual, yActual, yActual); } } } } // set up the chart String title = "" + stepNumber + " step-ahead predictions for: "; for (String s : targetNames) { title += s + ","; } title = title.substring(0, title.lastIndexOf(",")); /* * String algoSpec = forecaster.getAlgorithmName(); title += " (" + algoSpec * + ")"; */ if (forecaster instanceof WekaForecaster && hasConfidenceIntervals) { double confPerc = ((WekaForecaster) forecaster).getConfidenceLevel() * 100.0; title += " [" + Utils.doubleToString(confPerc, 0) + "% conf. intervals]"; } XYErrorRenderer renderer = new XYErrorRenderer(); renderer.setBaseLinesVisible(true); renderer.setDrawXError(false); renderer.setDrawYError(true); // renderer.setShapesFilled(true); XYPlot plot = new XYPlot(xyDataset, timeAxis, valueAxis, renderer); JFreeChart chart = new JFreeChart(title, JFreeChart.DEFAULT_TITLE_FONT, plot, true); chart.setBackgroundPaint(java.awt.Color.white); TextTitle chartTitle = chart.getTitle(); String fontName = chartTitle.getFont().getFontName(); java.awt.Font newFont = new java.awt.Font(fontName, java.awt.Font.PLAIN, 12); chartTitle.setFont(newFont); return chart; }
From source file:com.att.aro.diagnostics.GraphPanel.java
private static void populateUserEventPlot(XYPlot plot, TraceData.Analysis analysis) { final XYIntervalSeriesCollection userInputData = new XYIntervalSeriesCollection(); if (analysis != null) { // create the dataset... Map<UserEvent.UserEventType, XYIntervalSeries> seriesMap = new EnumMap<UserEvent.UserEventType, XYIntervalSeries>( UserEvent.UserEventType.class); for (UserEvent.UserEventType eventType : UserEvent.UserEventType.values()) { XYIntervalSeries series = new XYIntervalSeries(eventType); seriesMap.put(eventType, series); userInputData.addSeries(series); }/* w w w . j ava2 s. c o m*/ // Populate the data set for (UserEvent event : analysis.getUserEvents()) { seriesMap.get(event.getEventType()).add(event.getPressTime(), event.getPressTime(), event.getReleaseTime(), 0.5, 0, 1); } // Assign ToolTip to renderer XYItemRenderer renderer = plot.getRenderer(); renderer.setSeriesPaint(userInputData.indexOf(UserEventType.SCREEN_LANDSCAPE), Color.BLUE); renderer.setSeriesPaint(userInputData.indexOf(UserEventType.SCREEN_PORTRAIT), Color.BLUE); renderer.setBaseToolTipGenerator(new XYToolTipGenerator() { @Override public String generateToolTip(XYDataset dataset, int series, int item) { UserEvent.UserEventType eventType = (UserEvent.UserEventType) userInputData.getSeries(series) .getKey(); return ResourceBundleManager.getEnumString(eventType); } }); } plot.setDataset(userInputData); }
From source file:com.att.aro.diagnostics.GraphPanel.java
private static void populateGpsPlot(XYPlot plot, TraceData.Analysis analysis) { final XYIntervalSeriesCollection gpsData = new XYIntervalSeriesCollection(); if (analysis != null) { // create the GPS dataset... Map<GpsState, XYIntervalSeries> seriesMap = new EnumMap<GpsState, XYIntervalSeries>(GpsState.class); for (GpsState eventType : GpsState.values()) { XYIntervalSeries series = new XYIntervalSeries(eventType); seriesMap.put(eventType, series); gpsData.addSeries(series);//w ww .j a v a 2s .c o m } Iterator<GpsInfo> iter = analysis.getGpsInfos().iterator(); if (iter.hasNext()) { while (iter.hasNext()) { GpsInfo gpsEvent = iter.next(); if (gpsEvent.getGpsState() != GpsState.GPS_DISABLED) { seriesMap.get(gpsEvent.getGpsState()).add(gpsEvent.getBeginTimeStamp(), gpsEvent.getBeginTimeStamp(), gpsEvent.getEndTimeStamp(), 0.5, 0, 1); } } } XYItemRenderer renderer = plot.getRenderer(); renderer.setSeriesPaint(gpsData.indexOf(GpsState.GPS_STANDBY), Color.YELLOW); renderer.setSeriesPaint(gpsData.indexOf(GpsState.GPS_ACTIVE), new Color(34, 177, 76)); // Assign ToolTip to renderer renderer.setBaseToolTipGenerator(new XYToolTipGenerator() { @Override public String generateToolTip(XYDataset dataset, int series, int item) { GpsState eventType = (GpsState) gpsData.getSeries(series).getKey(); return MessageFormat.format(rb.getString("gps.tooltip"), dataset.getX(series, item), ResourceBundleManager.getEnumString(eventType)); } }); } plot.setDataset(gpsData); }
From source file:weka.classifiers.timeseries.eval.graph.JFreeChartDriver.java
protected JFreeChart getPredictedStepsChart(TSForecaster forecaster, List<ErrorModule> preds, String targetName, List<Integer> stepsToPlot, int instanceNumOffset, Instances data) { if (forecaster instanceof TSLagUser && data != null) { TSLagMaker lagMaker = ((TSLagUser) forecaster).getTSLagMaker(); if (lagMaker.getAdjustForTrends() && !lagMaker.isUsingAnArtificialTimeIndex()) { // fill in any missing time stamps only data = new Instances(data); data = weka.classifiers.timeseries.core.Utils.replaceMissing(data, null, lagMaker.getTimeStampField(), true, lagMaker.getPeriodicity(), lagMaker.getSkipEntries()); }/*w w w . j a v a 2s .c om*/ } // set up a collection of predicted series XYIntervalSeriesCollection xyDataset = new XYIntervalSeriesCollection(); XYIntervalSeries targetSeries = new XYIntervalSeries(targetName, false, false); xyDataset.addSeries(targetSeries); // for (int i = 0; i < preds.size(); i++) { for (int z = 0; z < stepsToPlot.size(); z++) { int i = stepsToPlot.get(z); i--; // ignore out of range steps if (i < 0 || i >= preds.size()) { continue; } String step = "-steps"; if (i == 0) { step = "-step"; } targetSeries = new XYIntervalSeries(targetName + "_" + (i + 1) + step + "-ahead", false, false); xyDataset.addSeries(targetSeries); } ValueAxis timeAxis = null; NumberAxis valueAxis = new NumberAxis(""); valueAxis.setAutoRangeIncludesZero(false); int timeIndex = -1; boolean timeAxisIsDate = false; if (forecaster instanceof TSLagUser && data != null) { TSLagMaker lagMaker = ((TSLagUser) forecaster).getTSLagMaker(); if (!lagMaker.isUsingAnArtificialTimeIndex() && lagMaker.getAdjustForTrends()) { String timeName = lagMaker.getTimeStampField(); if (data.attribute(timeName).isDate()) { timeAxis = new DateAxis(""); timeAxisIsDate = true; timeIndex = data.attribute(timeName).index(); } } } if (timeAxis == null) { timeAxis = new NumberAxis(""); ((NumberAxis) timeAxis).setAutoRangeIncludesZero(false); } // now populate the series // for (int i = 0; i < preds.size(); i++) { boolean doneActual = false; boolean hasConfidenceIntervals = false; for (int z = 0; z < stepsToPlot.size(); z++) { int i = stepsToPlot.get(z); i--; // ignore out of range steps if (i < 0 || i >= preds.size()) { continue; } ErrorModule predsForStepI = preds.get(i); List<NumericPrediction> predsForTargetAtI = predsForStepI.getPredictionsForTarget(targetName); String step = "-steps"; if (i == 0) { step = "-step"; } int predIndex = xyDataset.indexOf(targetName + "_" + (i + 1) + step + "-ahead"); XYIntervalSeries predSeries = xyDataset.getSeries(predIndex); XYIntervalSeries actualSeries = null; if (!doneActual) { int actualIndex = xyDataset.indexOf(targetName); actualSeries = xyDataset.getSeries(actualIndex); } for (int j = 0; j < predsForTargetAtI.size(); j++) { double x = Utils.missingValue(); if (timeAxisIsDate) { if (instanceNumOffset + j + i < data.numInstances()) { x = data.instance(instanceNumOffset + j + i).value(timeIndex); } } else { x = instanceNumOffset + j + i; } double yPredicted = predsForTargetAtI.get(j).predicted(); double yHigh = yPredicted; double yLow = yPredicted; double[][] conf = predsForTargetAtI.get(j).predictionIntervals(); if (conf.length > 0) { yLow = conf[0][0]; yHigh = conf[0][1]; hasConfidenceIntervals = true; } if (!Utils.isMissingValue(x) && !Utils.isMissingValue(yPredicted)) { if (predSeries != null) { predSeries.add(x, x, x, yPredicted, yLow, yHigh); } // System.err.println("* " + yPredicted + " " + x); } if (!doneActual && actualSeries != null) { double yActual = predsForTargetAtI.get(j).actual(); if (!Utils.isMissingValue(x) && !Utils.isMissingValue(yActual)) { actualSeries.add(x, x, x, yActual, yActual, yActual); } } } if (actualSeries != null) { doneActual = true; } } // set up the chart String title = ""; for (int i : stepsToPlot) { title += i + ","; } title = title.substring(0, title.lastIndexOf(",")); title += " step-ahead predictions for " + targetName; /* * String algoSpec = forecaster.getAlgorithmName(); title += " (" + algoSpec * + ")"; */ if (forecaster instanceof WekaForecaster && hasConfidenceIntervals) { double confPerc = ((WekaForecaster) forecaster).getConfidenceLevel() * 100.0; title += " [" + Utils.doubleToString(confPerc, 0) + "% conf. intervals]"; } XYErrorRenderer renderer = new XYErrorRenderer(); renderer.setBaseLinesVisible(true); // renderer.setShapesFilled(true); XYPlot plot = new XYPlot(xyDataset, timeAxis, valueAxis, renderer); JFreeChart chart = new JFreeChart(title, JFreeChart.DEFAULT_TITLE_FONT, plot, true); chart.setBackgroundPaint(java.awt.Color.white); TextTitle chartTitle = chart.getTitle(); String fontName = chartTitle.getFont().getFontName(); java.awt.Font newFont = new java.awt.Font(fontName, java.awt.Font.PLAIN, 12); chartTitle.setFont(newFont); return chart; }
From source file:com.att.aro.diagnostics.GraphPanel.java
private static void populateNetworkTyesPlot(XYPlot plot, TraceData.Analysis analysis) { if (analysis != null) { final XYIntervalSeriesCollection networkDataSeries = new XYIntervalSeriesCollection(); final Map<NetworkType, XYIntervalSeries> seriesMap = new EnumMap<NetworkType, XYIntervalSeries>( NetworkType.class); createDataSeriesForAllNetworkTypes(seriesMap, networkDataSeries); Iterator<NetworkBearerTypeInfo> iter = analysis.getNetworTypeInfos().iterator(); if (iter.hasNext()) { while (iter.hasNext()) { NetworkBearerTypeInfo networkInfo = iter.next(); if (networkInfo.getNetworkType() != NetworkType.none) { seriesMap.get(networkInfo.getNetworkType()).add(networkInfo.getBeginTimestamp(), networkInfo.getBeginTimestamp(), networkInfo.getEndTimestamp(), 0.5, 0, 1); }/*from ww w .j a v a 2 s . c o m*/ } } else { NetworkType nt = analysis.getTraceData().getNetworkType(); if (nt != null && nt != NetworkType.none) { seriesMap.get(nt).add(0, 0, analysis.getTraceData().getTraceDuration(), 0.5, 0, 1); } } XYItemRenderer renderer = plot.getRenderer(); setRenderingColorForDataSeries(renderer, networkDataSeries); // Assign ToolTip to renderer renderer.setBaseToolTipGenerator(new XYToolTipGenerator() { @Override public String generateToolTip(XYDataset dataset, int series, int item) { NetworkType networkType = (NetworkType) networkDataSeries.getSeries(series).getKey(); return MessageFormat.format(rb.getString("network.tooltip"), dataset.getX(series, item), ResourceBundleManager.getEnumString(networkType)); } }); plot.setDataset(networkDataSeries); } else { plot.setDataset(new XYIntervalSeriesCollection()); } }
From source file:weka.classifiers.timeseries.eval.graph.JFreeChartDriver.java
protected JFreeChart getFutureForecastChart(TSForecaster forecaster, List<List<NumericPrediction>> preds, List<String> targetNames, Instances history) { if (forecaster instanceof TSLagUser && history != null) { TSLagMaker lagMaker = ((TSLagUser) forecaster).getTSLagMaker(); if (lagMaker.getAdjustForTrends() && !lagMaker.isUsingAnArtificialTimeIndex()) { // fill in any missing time stamps only history = new Instances(history); history = weka.classifiers.timeseries.core.Utils.replaceMissing(history, null, lagMaker.getTimeStampField(), true, lagMaker.getPeriodicity(), lagMaker.getSkipEntries()); }//from w w w . j a va 2 s . c o m } // set up a collection of series XYIntervalSeriesCollection xyDataset = new XYIntervalSeriesCollection(); if (history != null) { // add actual historical data values for (String targetName : targetNames) { XYIntervalSeries targetSeries = new XYIntervalSeries(targetName, false, false); xyDataset.addSeries(targetSeries); } } // add predicted series for (String targetName : targetNames) { XYIntervalSeries targetSeries = new XYIntervalSeries(targetName + "-predicted", false, false); xyDataset.addSeries(targetSeries); } ValueAxis timeAxis = null; NumberAxis valueAxis = new NumberAxis(""); valueAxis.setAutoRangeIncludesZero(false); int timeIndex = -1; boolean timeAxisIsDate = false; double artificialTimeStart = 0; double lastRealTimeValue = Utils.missingValue(); if (forecaster instanceof TSLagUser && history != null) { TSLagMaker lagMaker = ((TSLagUser) forecaster).getTSLagMaker(); if (!lagMaker.isUsingAnArtificialTimeIndex() && lagMaker.getAdjustForTrends()) { String timeName = lagMaker.getTimeStampField(); if (history.attribute(timeName).isDate()) { timeAxis = new DateAxis(""); timeAxisIsDate = true; timeIndex = history.attribute(timeName).index(); } } else { try { artificialTimeStart = (history != null) ? 1 : lagMaker.getArtificialTimeStartValue() + 1; } catch (Exception ex) { } } } if (timeAxis == null) { timeAxis = new NumberAxis(""); ((NumberAxis) timeAxis).setAutoRangeIncludesZero(false); } boolean hasConfidenceIntervals = false; // now populate the series if (history != null) { // do the actuals first for (int i = 0; i < history.numInstances(); i++) { Instance current = history.instance(i); for (String targetName : targetNames) { int dataIndex = history.attribute(targetName.trim()).index(); if (dataIndex >= 0) { XYIntervalSeries actualSeries = null; int actualIndex = xyDataset.indexOf(targetName); actualSeries = xyDataset.getSeries(actualIndex); double x = Utils.missingValue(); if (timeAxisIsDate) { x = current.value(timeIndex); if (!Utils.isMissingValue(x)) { lastRealTimeValue = x; } } else { x = artificialTimeStart; } double y = Utils.missingValue(); y = current.value(dataIndex); if (!Utils.isMissingValue(x) && !Utils.isMissingValue(y)) { if (actualSeries != null) { actualSeries.add(x, x, x, y, y, y); } } } } if (!timeAxisIsDate) { artificialTimeStart++; } } } // now do the futures List<String> forecasterTargets = AbstractForecaster.stringToList(forecaster.getFieldsToForecast()); // loop over the steps for (int j = 0; j < preds.size(); j++) { List<NumericPrediction> predsForStepJ = preds.get(j); // advance the real time index (if appropriate) if (timeAxisIsDate) { lastRealTimeValue = ((TSLagUser) forecaster).getTSLagMaker() .advanceSuppliedTimeValue(lastRealTimeValue); } for (String targetName : targetNames) { // look up this requested target in the list that the forecaster // has predicted int predIndex = forecasterTargets.indexOf(targetName.trim()); if (predIndex >= 0) { NumericPrediction predsForTargetAtStepJ = predsForStepJ.get(predIndex); XYIntervalSeries predSeries = null; int datasetIndex = xyDataset.indexOf(targetName + "-predicted"); predSeries = xyDataset.getSeries(datasetIndex); if (predSeries != null) { double y = predsForTargetAtStepJ.predicted(); double x = Utils.missingValue(); double yHigh = y; double yLow = y; double[][] conf = predsForTargetAtStepJ.predictionIntervals(); if (conf.length > 0) { yLow = conf[0][0]; yHigh = conf[0][1]; hasConfidenceIntervals = true; } if (!timeAxisIsDate) { x = artificialTimeStart; } else { x = lastRealTimeValue; } if (!Utils.isMissingValue(x) && !Utils.isMissingValue(y)) { predSeries.add(x, x, x, y, yLow, yHigh); } } } } // advance the artificial time index (if appropriate) if (!timeAxisIsDate) { artificialTimeStart++; } } String title = "Future forecast for: "; for (String s : targetNames) { title += s + ","; } title = title.substring(0, title.lastIndexOf(",")); /* * String algoSpec = forecaster.getAlgorithmName(); title += " (" + algoSpec * + ")"; */ if (forecaster instanceof WekaForecaster && hasConfidenceIntervals) { double confPerc = ((WekaForecaster) forecaster).getConfidenceLevel() * 100.0; title += " [" + Utils.doubleToString(confPerc, 0) + "% conf. intervals]"; } XYErrorRenderer renderer = new XYErrorRenderer(); // renderer.setShapesFilled(true); XYPlot plot = new XYPlot(xyDataset, timeAxis, valueAxis, renderer); // renderer = (XYErrorRenderer)plot.getRenderer(); if (history != null) { for (String targetName : targetNames) { XYIntervalSeries predSeries = null; int predIndex = xyDataset.indexOf(targetName + "-predicted"); predSeries = xyDataset.getSeries(predIndex); XYIntervalSeries actualSeries = null; int actualIndex = xyDataset.indexOf(targetName); actualSeries = xyDataset.getSeries(actualIndex); if (actualSeries != null && predSeries != null) { // match the color of the actual series java.awt.Paint actualPaint = renderer.lookupSeriesPaint(actualIndex); renderer.setSeriesPaint(predIndex, actualPaint); // now set the line style to dashed BasicStroke dashed = new BasicStroke(1.5f, BasicStroke.CAP_BUTT, BasicStroke.JOIN_MITER, 10.0f, new float[] { 5.0f }, 0.0f); renderer.setSeriesStroke(predIndex, dashed); } } } renderer.setBaseLinesVisible(true); renderer.setDrawXError(false); renderer.setDrawYError(true); JFreeChart chart = new JFreeChart(title, JFreeChart.DEFAULT_TITLE_FONT, plot, true); chart.setBackgroundPaint(java.awt.Color.white); TextTitle chartTitle = chart.getTitle(); String fontName = chartTitle.getFont().getFontName(); java.awt.Font newFont = new java.awt.Font(fontName, java.awt.Font.PLAIN, 12); chartTitle.setFont(newFont); return chart; }