List of usage examples for org.jfree.chart.plot XYPlot setDataset
public void setDataset(int index, XYDataset dataset)
From source file:oscar.oscarEncounter.oscarMeasurements.pageUtil.MeasurementGraphAction2.java
JFreeChart defaultChart(String demographicNo, String typeIdName, String typeIdName2, String patientName,
String chartTitle) {//ww w . j av a 2s .com
org.jfree.data.time.TimeSeriesCollection dataset = new org.jfree.data.time.TimeSeriesCollection();
ArrayList<EctMeasurementsDataBean> list = getList(demographicNo, typeIdName);
String typeYAxisName = "";
if (typeIdName.equals("BP")) {
log.debug("Using BP LOGIC FOR type 1 ");
EctMeasurementsDataBean sampleLine = list.get(0);
typeYAxisName = sampleLine.getTypeDescription();
TimeSeries systolic = new TimeSeries("Systolic", Day.class);
TimeSeries diastolic = new TimeSeries("Diastolic", Day.class);
for (EctMeasurementsDataBean mdb : list) { // dataVector) {
String[] str = mdb.getDataField().split("/");
systolic.addOrUpdate(new Day(mdb.getDateObservedAsDate()), Double.parseDouble(str[0]));
diastolic.addOrUpdate(new Day(mdb.getDateObservedAsDate()), Double.parseDouble(str[1]));
}
dataset.addSeries(diastolic);
dataset.addSeries(systolic);
} else {
log.debug("Not Using BP LOGIC FOR type 1 ");
// get the name from the TimeSeries
EctMeasurementsDataBean sampleLine = list.get(0);
String typeLegendName = sampleLine.getTypeDisplayName();
typeYAxisName = sampleLine.getTypeDescription(); // this should be the type of measurement
TimeSeries newSeries = new TimeSeries(typeLegendName, Day.class);
for (EctMeasurementsDataBean mdb : list) { //dataVector) {
newSeries.addOrUpdate(new Day(mdb.getDateObservedAsDate()), Double.parseDouble(mdb.getDataField()));
}
dataset.addSeries(newSeries);
}
JFreeChart chart = ChartFactory.createTimeSeriesChart(chartTitle, "Days", typeYAxisName, dataset, true,
true, true);
if (typeIdName2 != null) {
log.debug("type id name 2" + typeIdName2);
ArrayList<EctMeasurementsDataBean> list2 = getList(demographicNo, typeIdName2);
org.jfree.data.time.TimeSeriesCollection dataset2 = new org.jfree.data.time.TimeSeriesCollection();
log.debug("list2 " + list2);
EctMeasurementsDataBean sampleLine2 = list2.get(0);
String typeLegendName = sampleLine2.getTypeDisplayName();
String typeYAxisName2 = sampleLine2.getTypeDescription(); // this should be the type of measurement
TimeSeries newSeries = new TimeSeries(typeLegendName, Day.class);
for (EctMeasurementsDataBean mdb : list2) { //dataVector) {
newSeries.addOrUpdate(new Day(mdb.getDateObservedAsDate()), Double.parseDouble(mdb.getDataField()));
}
dataset2.addSeries(newSeries);
////
final XYPlot plot = chart.getXYPlot();
final NumberAxis axis2 = new NumberAxis(typeYAxisName2);
axis2.setAutoRangeIncludesZero(false);
plot.setRangeAxis(1, axis2);
plot.setDataset(1, dataset2);
plot.mapDatasetToRangeAxis(1, 1);
final XYItemRenderer renderer = plot.getRenderer();
renderer.setBaseToolTipGenerator(StandardXYToolTipGenerator.getTimeSeriesInstance());
if (renderer instanceof StandardXYItemRenderer) {
final StandardXYItemRenderer rr = (StandardXYItemRenderer) renderer;
rr.setBaseShapesFilled(true);
}
final StandardXYItemRenderer renderer2 = new StandardXYItemRenderer();
renderer2.setSeriesPaint(0, Color.black);
renderer.setBaseToolTipGenerator(StandardXYToolTipGenerator.getTimeSeriesInstance());
plot.setRenderer(1, renderer2);
}
return chart;
}
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 ww w . j a va 2 s .co m 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:apidemo.PanScrollZoomDemo.java
/** * Creates a sample chart.//from w w w. jav a 2 s.c o m * * @return a sample chart. */ private JFreeChart createChart() { final XYSeriesCollection primaryJFreeColl = new XYSeriesCollection(); final XYSeries left1 = new XYSeries("Left 1"); left1.add(1, 2); left1.add(2.8, 5.9); left1.add(3, null); left1.add(3.4, 2); left1.add(5, -1); left1.add(7, 1); primaryJFreeColl.addSeries(left1); final XYSeriesCollection secondaryJFreeColl = new XYSeriesCollection(); final XYSeries right1 = new XYSeries("Right 1"); right1.add(3.5, 2.2); right1.add(1.2, 1.3); right1.add(5.7, 4.1); right1.add(7.5, 7.4); secondaryJFreeColl.addSeries(right1); final NumberAxis xAxis = new NumberAxis("X"); xAxis.setAutoRangeIncludesZero(false); xAxis.setAutoRangeStickyZero(false); final NumberAxis primaryYAxis = new NumberAxis("Y1"); primaryYAxis.setAutoRangeIncludesZero(false); primaryYAxis.setAutoRangeStickyZero(false); // create plot final XYItemRenderer y1Renderer = new StandardXYItemRenderer(StandardXYItemRenderer.LINES); y1Renderer.setSeriesPaint(0, Color.blue); y1Renderer.setToolTipGenerator(new StandardXYToolTipGenerator()); final XYPlot xyPlot = new XYPlot(primaryJFreeColl, xAxis, primaryYAxis, y1Renderer); // 2nd y-axis final NumberAxis secondaryYAxis = new NumberAxis("Y2"); secondaryYAxis.setAutoRangeIncludesZero(false); secondaryYAxis.setAutoRangeStickyZero(false); xyPlot.setRangeAxis(1, secondaryYAxis); xyPlot.setDataset(1, secondaryJFreeColl); xyPlot.mapDatasetToRangeAxis(1, 1); xyPlot.mapDatasetToDomainAxis(1, 1); final XYItemRenderer y2Renderer = new StandardXYItemRenderer(StandardXYItemRenderer.SHAPES_AND_LINES); y2Renderer.setToolTipGenerator(new StandardXYToolTipGenerator()); xyPlot.setRenderer(1, y2Renderer); // set some fixed y-dataranges and remember them // because default chartPanel.autoRangeBoth() // would destroy them ValueAxis axis = xyPlot.getRangeAxis(); this.primYMinMax[0] = -5; this.primYMinMax[1] = 15; axis.setLowerBound(this.primYMinMax[0]); axis.setUpperBound(this.primYMinMax[1]); axis = xyPlot.getRangeAxis(1); this.secondYMinMax[0] = -1; this.secondYMinMax[1] = 10; axis.setLowerBound(this.secondYMinMax[0]); axis.setUpperBound(this.secondYMinMax[1]); // Title + legend final String title = "To pan in zoom mode hold right mouse pressed"; final JFreeChart ret = new JFreeChart(title, null, xyPlot, true); final TextTitle textTitle = new TextTitle("(but you can only pan if the chart was zoomed before)"); ret.addSubtitle(textTitle); return ret; }
From source file:org.drools.planner.benchmark.statistic.bestscore.BestScoreStatistic.java
private CharSequence writeGraphStatistic(File solverStatisticFilesDirectory, String baseName) { NumberAxis xAxis = new NumberAxis("Time millis spend"); xAxis.setNumberFormatOverride(new MillisecondsSpendNumberFormat()); NumberAxis yAxis = new NumberAxis("Score"); yAxis.setAutoRangeIncludesZero(false); XYPlot plot = new XYPlot(null, xAxis, yAxis, null); int seriesIndex = 0; for (Map.Entry<String, BestScoreStatisticListener> listenerEntry : bestScoreStatisticListenerMap .entrySet()) {/*w ww. j a v a 2 s .co m*/ String configName = listenerEntry.getKey(); XYSeries series = new XYSeries(configName); List<BestScoreStatisticPoint> statisticPointList = listenerEntry.getValue().getStatisticPointList(); for (BestScoreStatisticPoint statisticPoint : statisticPointList) { long timeMillisSpend = statisticPoint.getTimeMillisSpend(); Score score = statisticPoint.getScore(); Double scoreGraphValue = scoreDefinition.translateScoreToGraphValue(score); if (scoreGraphValue != null) { series.add(timeMillisSpend, scoreGraphValue); } } XYSeriesCollection seriesCollection = new XYSeriesCollection(); seriesCollection.addSeries(series); plot.setDataset(seriesIndex, seriesCollection); XYItemRenderer renderer; // No direct lines between 2 points renderer = new XYStepRenderer(); if (statisticPointList.size() <= 1) { // Workaround for https://sourceforge.net/tracker/?func=detail&aid=3387330&group_id=15494&atid=115494 renderer = new StandardXYItemRenderer(StandardXYItemRenderer.SHAPES); } plot.setRenderer(seriesIndex, renderer); seriesIndex++; } plot.setOrientation(PlotOrientation.VERTICAL); JFreeChart chart = new JFreeChart(baseName + " best score statistic", JFreeChart.DEFAULT_TITLE_FONT, plot, true); BufferedImage chartImage = chart.createBufferedImage(1024, 768); File graphStatisticFile = new File(solverStatisticFilesDirectory, baseName + "BestScoreStatistic.png"); OutputStream out = null; try { out = new FileOutputStream(graphStatisticFile); ImageIO.write(chartImage, "png", out); } catch (IOException e) { throw new IllegalArgumentException("Problem writing graphStatisticFile: " + graphStatisticFile, e); } finally { IOUtils.closeQuietly(out); } return " <img src=\"" + graphStatisticFile.getName() + "\"/>\n"; }
From source file:com.android.ddmuilib.net.NetworkPanel.java
/** * Create chart of recent network activity. *//*w w w .ja v a 2 s. c om*/ private void createChart() { mChart = ChartFactory.createTimeSeriesChart(null, null, null, null, false, false, false); // create backing datasets and series mRxTotalSeries = new TimeSeries("RX total"); mTxTotalSeries = new TimeSeries("TX total"); mRxTotalSeries.setMaximumItemAge(HISTORY_MILLIS); mTxTotalSeries.setMaximumItemAge(HISTORY_MILLIS); mTotalCollection = new TimeSeriesCollection(); mTotalCollection.addSeries(mRxTotalSeries); mTotalCollection.addSeries(mTxTotalSeries); mRxDetailDataset = new LiveTimeTableXYDataset(); mTxDetailDataset = new LiveTimeTableXYDataset(); mTotalRenderer = new XYAreaRenderer(XYAreaRenderer.AREA); mRenderer = new StackedXYAreaRenderer2(); final XYPlot xyPlot = mChart.getXYPlot(); xyPlot.setDatasetRenderingOrder(DatasetRenderingOrder.FORWARD); xyPlot.setDataset(0, mTotalCollection); xyPlot.setDataset(1, mRxDetailDataset); xyPlot.setDataset(2, mTxDetailDataset); xyPlot.setRenderer(0, mTotalRenderer); xyPlot.setRenderer(1, mRenderer); xyPlot.setRenderer(2, mRenderer); // we control domain axis manually when taking samples mDomainAxis = xyPlot.getDomainAxis(); mDomainAxis.setAutoRange(false); final NumberAxis axis = new NumberAxis(); axis.setNumberFormatOverride(new BytesFormat(true)); axis.setAutoRangeMinimumSize(50); xyPlot.setRangeAxis(axis); xyPlot.setRangeAxisLocation(AxisLocation.BOTTOM_OR_RIGHT); // draw thick line to separate RX versus TX traffic xyPlot.addRangeMarker(new ValueMarker(0, java.awt.Color.BLACK, new java.awt.BasicStroke(2))); // label to indicate that positive axis is RX traffic final ValueMarker rxMarker = new ValueMarker(0); rxMarker.setStroke(new java.awt.BasicStroke(0)); rxMarker.setLabel("RX"); rxMarker.setLabelFont(rxMarker.getLabelFont().deriveFont(30f)); rxMarker.setLabelPaint(java.awt.Color.LIGHT_GRAY); rxMarker.setLabelAnchor(RectangleAnchor.TOP_RIGHT); rxMarker.setLabelTextAnchor(TextAnchor.BOTTOM_RIGHT); xyPlot.addRangeMarker(rxMarker); // label to indicate that negative axis is TX traffic final ValueMarker txMarker = new ValueMarker(0); txMarker.setStroke(new java.awt.BasicStroke(0)); txMarker.setLabel("TX"); txMarker.setLabelFont(txMarker.getLabelFont().deriveFont(30f)); txMarker.setLabelPaint(java.awt.Color.LIGHT_GRAY); txMarker.setLabelAnchor(RectangleAnchor.BOTTOM_RIGHT); txMarker.setLabelTextAnchor(TextAnchor.TOP_RIGHT); xyPlot.addRangeMarker(txMarker); mChartComposite = new ChartComposite(mPanel, SWT.BORDER, mChart, ChartComposite.DEFAULT_WIDTH, ChartComposite.DEFAULT_HEIGHT, ChartComposite.DEFAULT_MINIMUM_DRAW_WIDTH, ChartComposite.DEFAULT_MINIMUM_DRAW_HEIGHT, 4096, 4096, true, true, true, true, false, true); final FormData data = new FormData(); data.top = new FormAttachment(mHeader); data.left = new FormAttachment(0); data.bottom = new FormAttachment(70); data.right = new FormAttachment(100); mChartComposite.setLayoutData(data); }
From source file:org.optaplanner.benchmark.impl.statistic.scorecalculationspeed.ScoreCalculationSpeedProblemStatistic.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("Score calculation speed 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.hasAllSuccess()) { ScoreCalculationSpeedSubSingleStatistic subSingleStatistic = (ScoreCalculationSpeedSubSingleStatistic) singleBenchmarkResult .getSubSingleStatistic(problemStatisticType); List<ScoreCalculationSpeedStatisticPoint> points = subSingleStatistic.getPointList(); for (ScoreCalculationSpeedStatisticPoint point : points) { long timeMillisSpent = point.getTimeMillisSpent(); long scoreCalculationSpeed = point.getScoreCalculationSpeed(); series.add(timeMillisSpent, scoreCalculationSpeed); }//from w w w. j av a 2 s .c om } 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() + " score calculation speed statistic", JFreeChart.DEFAULT_TITLE_FONT, plot, true); graphFile = writeChartToImageFile(chart, problemBenchmarkResult.getName() + "ScoreCalculationSpeedStatistic"); }
From source file:net.sf.mzmine.chartbasics.HistogramChartFactory.java
/** * Adds a Gaussian curve to the plot//from w ww.j a va2 s .c om * * @param plot * @param fit double[] {normFactor, mean, sigma} * @param drawStart start of curve * @param drawEnd end of curve * @param gMin lower bound of Gaussian fit * @param gMax upper bound of Gaussian fit * @param sigDigits number of significant digits * @return */ public static double[] addGaussianFit(XYPlot plot, double[] fit, double drawStart, double drawEnd, double gMin, double gMax, int sigDigits, boolean annotations) { double gWidth = gMax - gMin; Gaussian g = new Gaussian(fit[0], fit[1], fit[2]); // create xy series for gaussian String mean = Precision.toString(fit[1], sigDigits, 7); String sigma = Precision.toString(fit[2], sigDigits, 7); String norm = Precision.toString(fit[0], sigDigits, 7); XYSeries gs = new XYSeries( "Gaussian: " + mean + " \u00B1 " + sigma + " [" + norm + "] (mean \u00B1 sigma [normalisation])"); // add lower dp number out of gaussian fit range int steps = 100; if (gMin > drawStart) { for (int i = 0; i <= steps; i++) { double x = drawStart + ((gMin - drawStart) / steps) * i; double y = g.value(x); gs.add(x, y); } } // add high resolution in gaussian fit area steps = 1000; for (int i = 0; i <= steps; i++) { double x = gMin + (gWidth / steps) * i; double y = g.value(x); gs.add(x, y); } // add lower dp number out of gaussian fit range steps = 100; if (gMax < drawEnd) { for (int i = 0; i <= steps; i++) { double x = gMax + ((drawEnd - gMax) / steps) * i; double y = g.value(x); gs.add(x, y); } } // add gaussian XYSeriesCollection gsdata = new XYSeriesCollection(gs); int index = plot.getDatasetCount(); plot.setDataset(index, gsdata); plot.setRenderer(index, new XYLineAndShapeRenderer(true, false)); if (annotations) addGaussianFitAnnotations(plot, fit); return fit; }
From source file:ucar.unidata.idv.control.chart.HistogramWrapper.java
/** * Plot the displayed {@link DataChoice}. * // w w w. j a v a 2s .c o m * @param histoWrapper Cannot be {@code null}. */ public static void plotHistogram(HistogramWrapper histoWrapper) { XYPlot p = histoWrapper.plot; List<DataChoiceWrapper> dcWrappers = histoWrapper.getDataChoiceWrappers(); try { for (int dataSetIdx = 0; dataSetIdx < p.getDatasetCount(); dataSetIdx++) { MyHistogramDataset dataset = (MyHistogramDataset) p.getDataset(dataSetIdx); dataset.removeAllSeries(); } Hashtable props = new Hashtable(); props.put(TrackDataSource.PROP_TRACKTYPE, TrackDataSource.ID_TIMETRACE); for (int paramIdx = 0; paramIdx < dcWrappers.size(); paramIdx++) { DataChoiceWrapper wrapper = dcWrappers.get(paramIdx); DataChoice dataChoice = wrapper.getDataChoice(); FlatField data = histoWrapper.getFlatField((FieldImpl) dataChoice.getData(null, props)); Unit unit = ucar.visad.Util.getDefaultRangeUnits((FlatField) data)[0]; double[][] samples = data.getValues(false); double[] actualValues = histoWrapper.filterData(samples[0], histoWrapper.getTimeValues(samples, data))[0]; NumberAxis domainAxis = new NumberAxis(wrapper.getLabel(unit)); XYItemRenderer renderer; if (histoWrapper.stacked) { renderer = new StackedXYBarRenderer(); } else { renderer = new XYBarRenderer(); } p.setRenderer(paramIdx, renderer); Color c = wrapper.getColor(paramIdx); domainAxis.setLabelPaint(c); renderer.setSeriesPaint(0, c); MyHistogramDataset dataset = new MyHistogramDataset(); dataset.setType(HistogramType.FREQUENCY); dataset.addSeries(dataChoice.getName() + " [" + unit + "]", actualValues, histoWrapper.bins); p.setDomainAxis(paramIdx, domainAxis, false); p.mapDatasetToDomainAxis(paramIdx, paramIdx); p.setDataset(paramIdx, dataset); } } catch (VisADException | RemoteException e) { LogUtil.logException("Error creating data set", e); } }
From source file:de.tor.tribes.ui.views.DSWorkbenchStatsFrame.java
private void addDataset(String pId, XYDataset pDataset) { if (chart == null) { setupChart(pId, pDataset);//from w w w .j a va 2 s. c o m } else { XYPlot plot = (XYPlot) chart.getPlot(); plot.setDataset(plot.getDatasetCount(), pDataset); NumberAxis axis = new NumberAxis(pId); NumberFormat nf = NumberFormat.getInstance(); nf.setMinimumFractionDigits(0); nf.setMaximumFractionDigits(0); axis.setNumberFormatOverride(nf); plot.setRangeAxis(plot.getDatasetCount() - 1, axis); plot.setRangeAxisLocation(plot.getDatasetCount() - 1, AxisLocation.TOP_OR_LEFT); plot.mapDatasetToRangeAxis(plot.getDatasetCount() - 1, plot.getDatasetCount() - 1); XYLineAndShapeRenderer renderer = new XYLineAndShapeRenderer(); renderer.setSeriesLinesVisible(0, jShowLines.isSelected()); renderer.setSeriesShapesVisible(0, jShowDataPoints.isSelected()); plot.setRenderer(plot.getDatasetCount() - 1, renderer); renderer.setDefaultItemLabelsVisible(jShowItemValues.isSelected()); renderer.setDefaultItemLabelGenerator(new org.jfree.chart.labels.StandardXYItemLabelGenerator()); renderer.setDefaultToolTipGenerator( new StandardXYToolTipGenerator(StandardXYToolTipGenerator.DEFAULT_TOOL_TIP_FORMAT, new SimpleDateFormat("dd.MM.yyyy HH:mm:ss"), NumberFormat.getInstance())); axis.setAxisLinePaint(plot.getLegendItems().get(plot.getDatasetCount() - 1).getLinePaint()); axis.setLabelPaint(plot.getLegendItems().get(plot.getDatasetCount() - 1).getLinePaint()); axis.setTickLabelPaint(plot.getLegendItems().get(plot.getDatasetCount() - 1).getLinePaint()); axis.setTickMarkPaint(plot.getLegendItems().get(plot.getDatasetCount() - 1).getLinePaint()); } }
From source file:oscar.oscarEncounter.oscarMeasurements.pageUtil.MeasurementGraphAction2.java
JFreeChart referenceRangeChart(String demographicNo, String typeIdName, String typeIdName2, String patientName,
String chartTitle) {/*from w w w. j a va 2s . c o m*/
org.jfree.data.time.TimeSeriesCollection dataset = new org.jfree.data.time.TimeSeriesCollection();
ArrayList<EctMeasurementsDataBean> list = getList(demographicNo, typeIdName);
ArrayList<OHLCDataItem> dataItems = new ArrayList<OHLCDataItem>();
String typeYAxisName = "";
if (typeIdName.equals("BP")) {
log.debug("Using BP LOGIC FOR type 1 ");
EctMeasurementsDataBean sampleLine = list.get(0);
typeYAxisName = sampleLine.getTypeDescription();
TimeSeries systolic = new TimeSeries("Systolic", Day.class);
TimeSeries diastolic = new TimeSeries("Diastolic", Day.class);
for (EctMeasurementsDataBean mdb : list) { // dataVector) {
String[] str = mdb.getDataField().split("/");
systolic.addOrUpdate(new Day(mdb.getDateObservedAsDate()), Double.parseDouble(str[0]));
diastolic.addOrUpdate(new Day(mdb.getDateObservedAsDate()), Double.parseDouble(str[1]));
}
dataset.addSeries(diastolic);
dataset.addSeries(systolic);
} else {
log.debug("Not Using BP LOGIC FOR type 1 ");
// get the name from the TimeSeries
EctMeasurementsDataBean sampleLine = list.get(0);
String typeLegendName = sampleLine.getTypeDisplayName();
typeYAxisName = sampleLine.getTypeDescription(); // this should be the type of measurement
TimeSeries newSeries = new TimeSeries(typeLegendName, Day.class);
for (EctMeasurementsDataBean mdb : list) { //dataVector) {
newSeries.addOrUpdate(new Day(mdb.getDateObservedAsDate()), Double.parseDouble(mdb.getDataField()));
try {
Hashtable h = getMeasurementsExt(mdb.getId());
if (h != null && h.containsKey("minimum")) {
String min = (String) h.get("minimum");
String max = (String) h.get("maximum");
double open = Double.parseDouble(min.trim());
double high = Double.parseDouble(max.trim());
double low = Double.parseDouble(min.trim());
double close = Double.parseDouble(max.trim());
double volume = 1045;
dataItems
.add(new OHLCDataItem(mdb.getDateObservedAsDate(), open, high, low, close, volume));
}
} catch (Exception et) {
MiscUtils.getLogger().error("Error", et);
}
}
dataset.addSeries(newSeries);
}
OHLCDataItem[] ohlc = dataItems.toArray(new OHLCDataItem[dataItems.size()]);
JFreeChart chart = ChartFactory.createHighLowChart("HighLowChartDemo2", "Time", "Value",
new DefaultOHLCDataset("DREFERENCE RANGE", ohlc), true);
XYPlot plot = (XYPlot) chart.getPlot();
// HighLowRenderer renderer = (HighLowRenderer) plot.getRenderer();
// renderer.
// renderer.setOpenTickPaint(Color.green);
// renderer.setCloseTickPaint(Color.black);
plot.setDataset(1, dataset);
plot.getDomainAxis().setAutoRange(true);
log.debug("LEN " + plot.getDomainAxis().getLowerBound() + " ddd " + plot.getDomainAxis().getUpperMargin()
+ " eee " + plot.getDomainAxis().getLowerMargin());
//plot.getDomainAxis().setUpperMargin(plot.getDomainAxis().getUpperMargin()*6);
//plot.getDomainAxis().setLowerMargin(plot.getDomainAxis().getLowerMargin()*6);
// plot.getRangeAxis().setUpperMargin(plot.getRangeAxis().getUpperMargin()*1.7);
plot.getDomainAxis().setUpperMargin(0.9);
plot.getDomainAxis().setLowerMargin(0.9);
plot.getRangeAxis().setUpperMargin(plot.getRangeAxis().getUpperMargin() * 4);
ValueAxis va = plot.getRangeAxis();
va.setAutoRange(true);
XYItemRenderer renderer = plot.getRenderer(); //DateFormat.getInstance()
XYItemLabelGenerator generator = new StandardXYItemLabelGenerator("{1} \n {2}",
new SimpleDateFormat("yyyy.MM.dd"), new DecimalFormat("0.00"));
renderer.setSeriesItemLabelGenerator(0, generator);//setLabelGenerator(generator);
renderer.setBaseItemLabelsVisible(true);
plot.setBackgroundPaint(Color.WHITE);
plot.setDomainCrosshairPaint(Color.GRAY);
if (renderer instanceof XYLineAndShapeRenderer) {
XYLineAndShapeRenderer rend = (XYLineAndShapeRenderer) renderer;
rend.setBaseShapesVisible(true);
rend.setBaseShapesFilled(true);
}
plot.setRenderer(renderer);
chart.setBackgroundPaint(Color.white);
return chart;
}