List of usage examples for org.jfree.data.time TimeSeriesCollection TimeSeriesCollection
public TimeSeriesCollection()
From source file:com.jaxzin.iraf.forecast.swing.JForecaster.java
@SuppressWarnings({ "MethodWithMultipleLoops" })
protected XYDataset createDataset() {
final TimeSeriesCollection tsc = new TimeSeriesCollection();
// long start = System.currentTimeMillis();
Forecast forecastData = null;/*w ww .j a v a2 s .c o m*/
try {
// System.out.println("Generating dataset; initial salary is <"+domain.getInitialSalary()+">");
forecastData = forecaster.forecast(domain);
} catch (ForecastException e) {
e.printStackTrace();
}
int count = 1;
assert forecastData != null;
final int total = forecastData.getForecastData().size() + 1;
//noinspection ForLoopThatDoesntUseLoopVariable
for (Iterator i = forecastData.getForecastData().iterator(); i.hasNext(); count++) {
final List<Money> universeData = (List<Money>) i.next();
//noinspection ObjectAllocationInLoop,UnqualifiedStaticUsage
final TimeSeries ts = new TimeSeries(new StringBuilder()
.append(String.valueOf((count * TOTAL_PERCENTILES) / total)).append("th").toString(),
Year.class);
for (Money money : universeData) {
if (ts.getItemCount() == 0) {
//noinspection ObjectAllocationInLoop
ts.add(RegularTimePeriod.createInstance(Year.class, new Date(), TimeZone.getDefault()),
money.doubleValue());
} else {
ts.add(ts.getNextTimePeriod(), money.doubleValue());
}
}
tsc.addSeries(ts);
}
// System.out.println(System.currentTimeMillis()-start);
return tsc;
}
From source file:org.projectforge.plugins.liquidityplanning.LiquidityChartBuilder.java
/** * @param forecast//from w w w.j ava 2 s . c o m * @param settings (next days) * @return */ public JFreeChart createBarChart(final LiquidityForecast forecast, final LiquidityForecastSettings settings) { Validate.isTrue(settings.getNextDays() > 0 && settings.getNextDays() < 500); final LiquidityForecastCashFlow cashFlow = new LiquidityForecastCashFlow(forecast, settings.getNextDays()); final TimeSeries accumulatedSeriesExpected = new TimeSeries( I18n.getString("plugins.liquidityplanning.forecast.expected")); final TimeSeries creditSeries = new TimeSeries(I18n.getString("plugins.liquidityplanning.common.credit")); final TimeSeries debitSeries = new TimeSeries(I18n.getString("plugins.liquidityplanning.common.debit")); double accumulatedExpected = settings.getStartAmount().doubleValue(); final DayHolder dh = new DayHolder(); final Date lower = dh.getDate(); for (int i = 0; i < settings.getNextDays(); i++) { final Day day = new Day(dh.getDayOfMonth(), dh.getMonth() + 1, dh.getYear()); if (i > 0) { accumulatedExpected += cashFlow.getDebitsExpected()[i - 1].doubleValue() + cashFlow.getCreditsExpected()[i - 1].doubleValue(); } accumulatedSeriesExpected.add(day, accumulatedExpected); creditSeries.add(day, cashFlow.getCreditsExpected()[i].doubleValue()); debitSeries.add(day, cashFlow.getDebitsExpected()[i].doubleValue()); dh.add(Calendar.DATE, 1); } dh.add(Calendar.DATE, -1); final XYChartBuilder cb = new XYChartBuilder(ChartFactory.createXYBarChart(null, null, false, null, null, PlotOrientation.VERTICAL, false, false, false)); int counter = 0; final TimeSeriesCollection xyDataSeries = new TimeSeriesCollection(); xyDataSeries.addSeries(accumulatedSeriesExpected); final XYLineAndShapeRenderer lineRenderer = new XYLineAndShapeRenderer(true, true); lineRenderer.setSeriesPaint(0, cb.getRedMarker()); lineRenderer.setSeriesVisibleInLegend(0, true); cb.setRenderer(counter, lineRenderer).setDataset(counter++, xyDataSeries).setStrongStyle(lineRenderer, false, accumulatedSeriesExpected); final TimeSeriesCollection cashflowSet = new TimeSeriesCollection(); cashflowSet.addSeries(debitSeries); cashflowSet.addSeries(creditSeries); final XYBarRenderer barRenderer = new XYBarRenderer(.2); barRenderer.setSeriesPaint(0, cb.getGreenFill()); barRenderer.setSeriesPaint(1, cb.getRedFill()); barRenderer.setShadowVisible(false); cb.setRenderer(counter, barRenderer).setDataset(counter++, cashflowSet); cb.setDateXAxis(true).setDateXAxisRange(lower, dh.getDate()).setYAxis(true, null); return cb.getChart(); }
From source file:it.marcoberri.mbmeteo.action.chart.GetMinAndMax.java
/** * Processes requests for both HTTP/*from w ww. j a v a2 s. c om*/ * <code>GET</code> and * <code>POST</code> methods. * * @param request servlet request * @param response servlet response * @throws ServletException if a servlet-specific error occurs * @throws IOException if an I/O error occurs */ protected void processRequest(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { log.debug("start : " + this.getClass().getName()); final HashMap<String, String> params = getParams(request.getParameterMap()); final Integer dimy = Default.toInteger(params.get("dimy"), 600); final Integer dimx = Default.toInteger(params.get("dimx"), 800); final String from = Default.toString(params.get("from") + " 00:00:00", "1970-01-01 00:00:00"); final String to = Default.toString(params.get("to") + " 23:59:00", "2030-01-01 23:59:00"); final String field = Default.toString(params.get("field"), "outdoorTemperature"); final String period = Default.toString(params.get("period"), "day"); request.getSession().setAttribute("from", params.get("from")); request.getSession().setAttribute("to", params.get("to")); final String cacheKey = getCacheKey(params); if (cacheReadEnable) { final Query q = ds.find(Cache.class); q.filter("cacheKey", cacheKey).filter("servletName", this.getClass().getName()); final Cache c = (Cache) q.get(); if (c == null) { log.info("cacheKey:" + cacheKey + " on servletName: " + this.getClass().getName() + " not found"); } if (c != null) { final GridFSDBFile imageForOutput = MongoConnectionHelper.getGridFS() .findOne(new ObjectId(c.getGridId())); if (imageForOutput != null) { ds.save(c); try { response.setHeader("Content-Length", "" + imageForOutput.getLength()); response.setHeader("Content-Disposition", "inline; filename=\"" + imageForOutput.getFilename() + "\""); final OutputStream out = response.getOutputStream(); final InputStream in = imageForOutput.getInputStream(); final byte[] content = new byte[(int) imageForOutput.getLength()]; in.read(content); out.write(content); in.close(); out.close(); return; } catch (Exception e) { log.error(e); } } else { log.error("file not in db"); } } } final String formatIn = getFormatIn(period); final String formatOut = getFormatOut(period); final Query q = ds.createQuery(MapReduceMinMax.class).disableValidation(); final Date dFrom = DateTimeUtil.getDate("yyyy-MM-dd hh:mm:ss", from); final Date dTo = DateTimeUtil.getDate("yyyy-MM-dd hh:mm:ss", to); final List<Date> datesIn = getRangeDate(dFrom, dTo); final HashSet<String> datesInString = new HashSet<String>(); for (Date d : datesIn) { datesInString.add(DateTimeUtil.dateFormat(formatIn, d)); } if (datesIn != null && !datesIn.isEmpty()) { q.filter("_id in", datesInString); } q.order("_id"); final List<MapReduceMinMax> mapReduceResult = q.asList(); final TimeSeries serieMin = new TimeSeries("Min"); final TimeSeries serieMax = new TimeSeries("Max"); for (MapReduceMinMax m : mapReduceResult) { try { final Date tmpDate = DateTimeUtil.getDate(formatIn, m.getId().toString()); if (tmpDate == null) { continue; } final Millisecond t = new Millisecond(tmpDate); ChartEnumMinMaxHelper chartEnum = ChartEnumMinMaxHelper.getByFieldAndType(field, "min"); Method method = m.getClass().getMethod(chartEnum.getMethod()); Number n = (Number) method.invoke(m); serieMin.add(t, n); chartEnum = ChartEnumMinMaxHelper.getByFieldAndType(field, "max"); method = m.getClass().getMethod(chartEnum.getMethod()); n = (Number) method.invoke(m); serieMax.add(t, n); } catch (IllegalAccessException ex) { log.error(ex); } catch (IllegalArgumentException ex) { log.error(ex); } catch (InvocationTargetException ex) { log.error(ex); } catch (NoSuchMethodException ex) { log.error(ex); } catch (SecurityException ex) { log.error(ex); } } final ChartEnumMinMaxHelper chartData = ChartEnumMinMaxHelper.getByFieldAndType(field, "min"); final TimeSeriesCollection dataset = new TimeSeriesCollection(); dataset.addSeries(serieMin); dataset.addSeries(serieMax); final JFreeChart chart = ChartFactory.createTimeSeriesChart("Max/Min", "", chartData.getUm(), dataset, true, false, false); final XYPlot plot = (XYPlot) chart.getPlot(); final DateAxis axis = (DateAxis) plot.getDomainAxis(); axis.setDateFormatOverride(new SimpleDateFormat(formatOut)); axis.setVerticalTickLabels(true); if (field.toUpperCase().indexOf("PRESSURE") != -1) { plot.getRangeAxis().setRange(chartPressureMin, chartPressureMax); } final File f = File.createTempFile("mbmeteo", ".jpg"); ChartUtilities.saveChartAsJPEG(f, chart, dimx, dimy); try { if (cacheWriteEnable) { final GridFSInputFile gfsFile = MongoConnectionHelper.getGridFS().createFile(f); gfsFile.setFilename(f.getName()); gfsFile.save(); final Cache c = new Cache(); c.setServletName(this.getClass().getName()); c.setCacheKey(cacheKey); c.setGridId(gfsFile.getId().toString()); ds.save(c); } response.setContentType("image/jpeg"); response.setHeader("Content-Length", "" + f.length()); response.setHeader("Content-Disposition", "inline; filename=\"" + f.getName() + "\""); final OutputStream out = response.getOutputStream(); final FileInputStream in = new FileInputStream(f.toString()); final int size = in.available(); final byte[] content = new byte[size]; in.read(content); out.write(content); in.close(); out.close(); } catch (Exception e) { log.error(e); } finally { f.delete(); } }
From source file:compecon.dashboard.panel.IndustriesPanel.java
protected ChartPanel createProductionPanel(Currency currency, GoodType outputGoodType) { TimeSeriesCollection timeSeriesCollection = new TimeSeriesCollection(); timeSeriesCollection.addSeries(ApplicationContext.getInstance().getModelRegistry() .getNationalEconomyModel(currency).getIndustryModel(outputGoodType).outputModel.getTimeSeries()); for (GoodType inputGoodType : ApplicationContext.getInstance().getModelRegistry() .getNationalEconomyModel(currency).getIndustryModel(outputGoodType).inputModels.keySet()) { timeSeriesCollection/*w w w .j av a 2s .c o m*/ .addSeries(ApplicationContext.getInstance().getModelRegistry().getNationalEconomyModel(currency) .getIndustryModel(outputGoodType).inputModels.get(inputGoodType).getTimeSeries()); } JFreeChart chart = ChartFactory.createTimeSeriesChart(outputGoodType.toString() + " Production", "Date", "Output", (XYDataset) timeSeriesCollection, true, true, false); configureChart(chart); chart.addSubtitle(new TextTitle("Inputs: " + ApplicationContext.getInstance().getInputOutputModel() .getProductionFunction(outputGoodType).getInputGoodTypes().toString())); return new ChartPanel(chart); }
From source file:de.fischer.thotti.reportgen.diagram.ChartGenerator.java
public ChartMetaData generateAllVariantsChart(final String testId) { File chartFile;//w ww .j a va 2 s . c o m try { final List<TestVariant> variants = persistenceHelper.findAllVariants(testId); final TimeSeriesCollection collection = new TimeSeriesCollection(); String svgFilename = String.format("%s.svg", testId); chartFile = new File(baseDir, svgFilename); for (TestVariant variant : variants) { TimeSeries series = new TimeSeries(String.format("Average of %s", variant.getCombinedId()), Day.class); TimeSeries mediaSeries = new TimeSeries("Median of " + variant, Day.class); List<NDResultEntity> results = persistenceHelper.findAllResultsForVariant(variant); SortedSet<NDResultEntity> sortedSet = new TreeSet<NDResultEntity>( new TestVariantModel.DateComparator()); sortedSet.addAll(results); Calendar now = Calendar.getInstance(); now.add(Calendar.DATE, 1); Iterator<Measurement> itr = new AverageDayCombinerIterator(sortedSet.iterator()); Iterator<DatePoint> medianItr = new MedianIterator(sortedSet.iterator()); while (itr.hasNext()) { Measurement singleResult = itr.next(); Date startDate = singleResult.getPointInTime(); double timeInMS = singleResult.getDuration(); double timeInSecs = convertMilliSecsToSeconds(timeInMS); series.add(new Day(startDate), timeInSecs); } while (medianItr.hasNext()) { DatePoint singleResult = medianItr.next(); Day day = new Day(singleResult.getPointInTime()); double value = convertMilliSecsToSeconds(singleResult.getValue()); mediaSeries.add(day, value); } collection.addSeries(series); collection.addSeries(mediaSeries); } final JFreeChart chart = createChart(testId, collection); saveChartAsSVG(chart, svgFilename); System.out.println(String.format("Written %s", chartFile.toString())); return new ChartMetaData().withFilename(chartFile.getName()).withWidth(DEFAULT_CHAR_WIDTH) .withHeight(DEFAULT_CHAR_HEIGHT).withFormat("SVG"); } catch (Exception ioe) { // @todo Throw an better exception! ioe.printStackTrace(); //To change body of catch statement use File | Settings | File Templates. } return null; }
From source file:net.sourceforge.openforecast.examples.ForecastingChartDemo.java
/** * Creates a dataset, consisting of two series of monthly data. * @return the dataset./*ww w . ja v a2 s . c om*/ */ public XYDataset createDataset() { TimeSeries observations = new TimeSeries("Quarterly Sales", Quarter.class); observations.add(new Quarter(1, 1990), 362.0); observations.add(new Quarter(2, 1990), 385.0); observations.add(new Quarter(3, 1990), 432.0); observations.add(new Quarter(4, 1990), 341.0); observations.add(new Quarter(1, 1991), 382.0); observations.add(new Quarter(2, 1991), 409.0); observations.add(new Quarter(3, 1991), 498.0); observations.add(new Quarter(4, 1991), 387.0); observations.add(new Quarter(1, 1992), 473.0); observations.add(new Quarter(2, 1992), 513.0); observations.add(new Quarter(3, 1992), 582.0); observations.add(new Quarter(4, 1992), 474.0); observations.add(new Quarter(1, 1993), 544.0); observations.add(new Quarter(2, 1993), 582.0); observations.add(new Quarter(3, 1993), 681.0); observations.add(new Quarter(4, 1993), 557.0); observations.add(new Quarter(1, 1994), 628.0); observations.add(new Quarter(2, 1994), 707.0); observations.add(new Quarter(3, 1994), 773.0); observations.add(new Quarter(4, 1994), 592.0); observations.add(new Quarter(1, 1995), 627.0); observations.add(new Quarter(2, 1995), 725.0); observations.add(new Quarter(3, 1995), 854.0); observations.add(new Quarter(4, 1995), 661.0); fc = new TimeSeries("Forecast values", Quarter.class); fc.add(new Quarter(1, 1990), 0.0); fc.add(new Quarter(2, 1990), 0.0); fc.add(new Quarter(3, 1990), 0.0); fc.add(new Quarter(4, 1990), 0.0); fc.add(new Quarter(1, 1991), 0.0); fc.add(new Quarter(2, 1991), 0.0); fc.add(new Quarter(3, 1991), 0.0); fc.add(new Quarter(4, 1991), 0.0); fc.add(new Quarter(1, 1992), 0.0); fc.add(new Quarter(2, 1992), 0.0); fc.add(new Quarter(3, 1992), 0.0); fc.add(new Quarter(4, 1992), 0.0); fc.add(new Quarter(1, 1993), 0.0); fc.add(new Quarter(2, 1993), 0.0); fc.add(new Quarter(3, 1993), 0.0); fc.add(new Quarter(4, 1993), 0.0); fc.add(new Quarter(1, 1994), 0.0); fc.add(new Quarter(2, 1994), 0.0); fc.add(new Quarter(3, 1994), 0.0); fc.add(new Quarter(4, 1994), 0.0); fc.add(new Quarter(1, 1995), 0.0); fc.add(new Quarter(2, 1995), 0.0); fc.add(new Quarter(3, 1995), 0.0); fc.add(new Quarter(4, 1995), 0.0); fc.add(new Quarter(1, 1996), 0.0); fc.add(new Quarter(2, 1996), 0.0); fc.add(new Quarter(3, 1996), 0.0); fc.add(new Quarter(4, 1996), 0.0); fc.add(new Quarter(1, 1997), 0.0); fc.add(new Quarter(2, 1997), 0.0); fc.add(new Quarter(3, 1997), 0.0); fc.add(new Quarter(4, 1997), 0.0); fc.add(new Quarter(1, 1998), 0.0); fc.add(new Quarter(2, 1998), 0.0); fc.add(new Quarter(3, 1998), 0.0); fc.add(new Quarter(4, 1998), 0.0); DataSet initDataSet = getDataSet(observations, 0, 100); TimeSeries naiveSeries = getForecastTimeSeries(new NaiveForecastingModel(), initDataSet, 1, 25, "Naive forecast"); TimeSeries ma4Series = getForecastTimeSeries(new MovingAverageModel(4), initDataSet, 4, 28, "4 Period Moving Average"); TimeSeries ma8Series = getForecastTimeSeries(new MovingAverageModel(8), initDataSet, 8, 32, "8 Period Moving Average"); TimeSeries regressionSeries = getForecastTimeSeries(new RegressionModel("t"), initDataSet, 0, 100, "Linear regression"); TimeSeries polyRegressSeries = getForecastTimeSeries(new PolynomialRegressionModel("t", 4), initDataSet, 0, 100, "4th order polynomial regression"); TimeSeriesCollection dataset = new TimeSeriesCollection(); dataset.addSeries(observations); dataset.addSeries(naiveSeries); dataset.addSeries(ma4Series); dataset.addSeries(ma8Series); dataset.addSeries(regressionSeries); dataset.addSeries(polyRegressSeries); return dataset; }
From source file:org.n52.oxf.render.sos.TimeSeriesMapChartRenderer.java
/** * The resulting chart consists a TimeSeries for each FeatureOfInterest contained in the * observationCollection./*from ww w . j a v a2 s . com*/ * * @param foiIdArray * the IDs of the FeaturesOfInterest whose Observations shall be rendered * @param observationCollection * @return */ protected XYPlot drawChart4FOI(String foiID, Map<ITimePosition, ObservedValueTuple> timeMap) { TimeSeriesCollection dataset = new TimeSeriesCollection(); TimeSeries timeSeries = new TimeSeries(foiID, Second.class); for (ITimePosition timePos : timeMap.keySet()) { Number value = (Number) timeMap.get(timePos).getValue(0); timeSeries.add( new Second(new Float(timePos.getSecond()).intValue(), timePos.getMinute(), timePos.getHour(), timePos.getDay(), timePos.getMonth(), new Long(timePos.getYear()).intValue()), value); } dataset.addSeries(timeSeries); dataset.setDomainIsPointsInTime(true); // // create Plot: // XYPlot plot = new XYPlot(); plot.setDataset(dataset); plot.setBackgroundPaint(Color.white); XYLineAndShapeRenderer renderer = new XYLineAndShapeRenderer(); renderer.setBaseShapesVisible(false); plot.setRenderer(renderer); DateAxis dateAxis = new DateAxis(); dateAxis.setTickMarkPosition(DateTickMarkPosition.START); dateAxis.setTickMarksVisible(true); dateAxis.setVerticalTickLabels(true); dateAxis.setDateFormatOverride(new SimpleDateFormat("dd'.'MM'.'")); plot.setDomainAxis(dateAxis); plot.setRangeAxis(new NumberAxis()); return plot; }
From source file:org.jfree.chart.demo.MarkerDemo1.java
/** * Returns a sample dataset./*from ww w .jav a 2 s .co m*/ * * @return A sample dataset. */ private XYDataset createDataset() { final TimeSeriesCollection result = new TimeSeriesCollection(); result.addSeries(createSupplier1Bids()); result.addSeries(createSupplier2Bids()); return result; }
From source file:com.bdb.weather.display.summary.TemperatureDeviationPlotPanel.java
public void loadData(List<SummaryRecord> list, WeatherAverages averagesCollection) { TimeSeriesCollection lowCollection = new TimeSeriesCollection(); TimeSeriesCollection meanCollection = new TimeSeriesCollection(); TimeSeriesCollection highCollection = new TimeSeriesCollection(); TimeSeries highSeries = new TimeSeries(HIGH_SERIES_NAME); TimeSeries meanSeries = new TimeSeries(MEAN_SERIES_NAME); TimeSeries lowSeries = new TimeSeries(LOW_SERIES_NAME); int n = 0;/* ww w . ja va 2 s .c o m*/ //tableModel.setRowCount(list.size()); DateTimeFormatter dateFormat = interval.getFormat(); for (SummaryRecord record : list) { WeatherAverage averages = averagesCollection.getAverage(record.getDate()); String dateString = dateFormat.format(record.getDate()); //tableModel.setValueAt(dateString, n, DATE_COLUMN); Temperature deviation = supporter.retrieveLowOutdoorTemperature(record) .subtract(averages.getLowTemperature()); RegularTimePeriod period = RegularTimePeriod.createInstance(interval.getFreeChartClass(), TimeUtils.localDateTimeToDate(record.getDate().atStartOfDay()), TimeZone.getDefault()); TimeSeriesDataItem item = new TimeSeriesDataItem(period, deviation.get()); lowSeries.add(item); //tableModel.setValueAt(deviation, n, LOW_COLUMN); deviation = supporter.retrieveAvgOutdoorTemperature(record).subtract(averages.getMeanTemperature()); item = new TimeSeriesDataItem(period, deviation.get()); meanSeries.add(item); //tableModel.setValueAt(deviation, n, MEAN_COLUMN); deviation = supporter.retrieveHighOutdoorTemperature(record).subtract(averages.getHighTemperature()); item = new TimeSeriesDataItem(period, deviation.get()); highSeries.add(item); //tableModel.setValueAt(deviation, n, HIGH_COLUMN); n++; } lowCollection.addSeries(lowSeries); meanCollection.addSeries(meanSeries); highCollection.addSeries(highSeries); deviationPlot.setDataset(LOW_SERIES_INDEX, lowCollection); deviationPlot.setDataset(MEAN_SERIES_INDEX, meanCollection); deviationPlot.setDataset(HIGH_SERIES_INDEX, highCollection); deviationPlot.setRenderer(LOW_SERIES_INDEX, lowRenderer); deviationPlot.setRenderer(MEAN_SERIES_INDEX, meanRenderer); deviationPlot.setRenderer(HIGH_SERIES_INDEX, highRenderer); }
From source file:org.mwc.debrief.multipath2.MultiPathView.java
@Override public void display(final TimeSeries measured, final TimeSeries calculated) { // collate the data final TimeSeriesCollection coll = new TimeSeriesCollection(); coll.addSeries(measured);/*w ww. ja v a2s . com*/ coll.addSeries(calculated); // put the series onto the chart _thePlot.setDataset(coll); }