List of usage examples for org.jfree.data.statistics HistogramDataset HistogramDataset
public HistogramDataset()
From source file:org.jfree.data.statistics.HistogramDatasetTest.java
/** * This test is derived from a reported bug. *//* w w w . java 2 s. c o m*/ @Test public void testBinBoundaries() { double[] values = { -5.000000000000286E-5 }; int bins = 1260; double minimum = -0.06307522528160199; double maximum = 0.06297522528160199; HistogramDataset d = new HistogramDataset(); d.addSeries("S1", values, bins, minimum, maximum); assertEquals(0.0, d.getYValue(0, 629), EPSILON); assertEquals(1.0, d.getYValue(0, 630), EPSILON); assertEquals(0.0, d.getYValue(0, 631), EPSILON); assertTrue(values[0] > d.getStartXValue(0, 630)); assertTrue(values[0] < d.getEndXValue(0, 630)); }
From source file:org.jfree.data.statistics.HistogramDatasetTest.java
/** * Some checks for bug 1553088. An IndexOutOfBoundsException is thrown * when a data value is *very* close to the upper limit of the last bin. *//*from w w w . j a v a2s . co m*/ @Test public void test1553088() { double[] values = { -1.0, 0.0, -Double.MIN_VALUE, 3.0 }; HistogramDataset d = new HistogramDataset(); d.addSeries("S1", values, 2, -1.0, 0.0); assertEquals(-1.0, d.getStartXValue(0, 0), EPSILON); assertEquals(-0.5, d.getEndXValue(0, 0), EPSILON); assertEquals(1.0, d.getYValue(0, 0), EPSILON); assertEquals(-0.5, d.getStartXValue(0, 1), EPSILON); assertEquals(0.0, d.getEndXValue(0, 1), EPSILON); assertEquals(3.0, d.getYValue(0, 1), EPSILON); }
From source file:com.rapidminer.gui.viewer.metadata.model.DateTimeAttributeStatisticsModel.java
/** * Creates a {@link HistogramDataset} for this {@link Attribute}. * * @param exampleSet/*w w w.java2 s .c om*/ * @return */ private HistogramDataset createHistogramDataset(final ExampleSet exampleSet) { HistogramDataset dataset = new HistogramDataset(); double[] array = new double[exampleSet.size()]; int count = 0; for (Example example : exampleSet) { double value = example.getDataRow().get(getAttribute()); // don't use missing values because otherwise JFreeChart tries to plot them too which // can lead to false histograms if (!Double.isNaN(value)) { array[count++] = value; } } // add points to data set (if any) if (count > 0) { // truncate array if necessary if (count < array.length) { array = Arrays.copyOf(array, count); } dataset.addSeries(getAttribute().getName(), array, Math.min(array.length, MAX_BINS_HISTOGRAM)); } return dataset; }
From source file:v800_trainer.JHistogram.java
public JPanel StartHistoSp(JCicloTronic JTronicHandle) { boolean Summenhisto; int von = 0;//from w w w .j a v a 2 s . co m int bis = 0; int num = 0; int selected; int single; int Gruppen = 0; int i = 100; int j = 10; int m = 0; int n = 0; int Linecount = 0; int Anzahl = 1; JFreeChart chart; double DummyData[] = new double[1]; selected = JTronicHandle.Auswahl_Histogramm.getSelectedIndex(); Summenhisto = JTronicHandle.Summenhistogramm_Check.isSelected(); chart = ChartFactory.createHistogram("", "Geschwindigkeit [km/h]", "Hufigkeit", new HistogramDataset(), PlotOrientation.HORIZONTAL, true, true, true); chart.setBackgroundPaint(Color.white); JTronicHandle.applyChartTheme(chart); XYPlot plot = chart.getXYPlot(); plot.setOrientation(PlotOrientation.VERTICAL); plot.setBackgroundPaint(Color.lightGray); plot.setDomainGridlinePaint(Color.white); plot.setRangeGridlinePaint(Color.white); plot.setAxisOffset(new RectangleInsets(5.0, 5.0, 5.0, 5.0)); plot.getRangeAxis().setFixedDimension(15.0); ArrayList Bufferarray = new ArrayList(); double Buffer; if (selected == 0) { single = 1; } else { single = 0; Summenhisto = false; } try { von = Integer.parseInt(JTronicHandle.Properties.getProperty("HistovonSp", "100")); bis = Integer.parseInt(JTronicHandle.Properties.getProperty("HistobisSp", "200")); Gruppen = Integer.parseInt(JTronicHandle.Properties.getProperty("HistostepSp", "10")); Anzahl = (JTronicHandle.Auswahl_Histogramm.getItemCount() - 2) * single + 1; for (j = 0; j < Anzahl; j++) { if (single == 1) { selected = j + 1; } if (!Summenhisto) { num = JTronicHandle.Statistikhandle.TourData[selected].Datenpunkte; } else { num += JTronicHandle.Statistikhandle.TourData[selected].Datenpunkte; } n = 0; if (!Summenhisto) { create_Start_Stop(JTronicHandle, selected); //die limits einer gezoomten Graphik ermitteln for (i = start; i < stop; i++) { Buffer = (double) JTronicHandle.Statistikhandle.TourData[selected].Geschw_gesZeit[i]; if (Buffer >= von && Buffer <= bis) { Bufferarray.add(Buffer); } } } else { for (i = 0; i < j + 1; i++) { create_Start_Stop(JTronicHandle, i + 1); for (m = start; m < stop; m++) { Buffer = (double) JTronicHandle.Statistikhandle.TourData[i + 1].Geschw_gesZeit[m]; if (Buffer >= von && Buffer <= bis) { Bufferarray.add(Buffer); } } } } DummyData = new double[Bufferarray.size()]; for (i = 0; i < Bufferarray.size(); i++) { DummyData[i] = new Double(Bufferarray.get(i).toString()); } if (!Summenhisto) { HistogramDataset histoHM = new HistogramDataset(); histoHM.addSeries( "" + JTronicHandle.Statistikhandle.TourData[selected].Tag + "." + JTronicHandle.Statistikhandle.TourData[selected].Monat + "." + JTronicHandle.Statistikhandle.TourData[selected].Jahr, DummyData, Gruppen, (double) von, (double) bis); histoHM.setType(HistogramType.RELATIVE_FREQUENCY); plot.setDataset(Linecount, histoHM); plot.mapDatasetToRangeAxis(Linecount, 0); XYBarRenderer renderer = new XYBarRenderer(); renderer.setDrawBarOutline(true); renderer.setSeriesPaint(0, getColour(Linecount, (int) 255 / Anzahl)); renderer.setBaseToolTipGenerator(new StandardXYToolTipGenerator()); plot.setRenderer(Linecount, renderer); } Linecount++; } } catch (Exception e) { JOptionPane.showMessageDialog(null, "StartHistoSp\nFehler: Sp " + e + " " + i + " " + j, "Achtung!", JOptionPane.ERROR_MESSAGE); } if (Summenhisto) { HistogramDataset histoHM = new HistogramDataset(); histoHM.addSeries("Summenhistogram", DummyData, Gruppen, (double) von, (double) bis); histoHM.setType(HistogramType.RELATIVE_FREQUENCY); plot.setDataset(0, histoHM); plot.mapDatasetToRangeAxis(0, 0); XYItemRenderer renderer = new XYBarRenderer(); renderer.setSeriesPaint(0, Color.blue); renderer.setBaseToolTipGenerator(new StandardXYToolTipGenerator()); plot.setRenderer(0, renderer); } chart.setPadding(padding); ChartPanel Panel = new ChartPanel(chart); return Panel; }
From source file:fr.ens.transcriptome.corsen.gui.qt.ResultGraphs.java
/** * Create a histogram of distance distribution. * @param results Result to use/*ww w. j a va 2s .c o m*/ * @return a QImage of the graph */ public QImage createDistanceDistributionImage(final CorsenResult results, final int classes, final String unit) { HistogramDataset histogramdataset = new HistogramDataset(); createHistoDataSet(results.getMinDistances(), "Min distances", histogramdataset, classes); // createHistoDataSet(results.getMaxDistances(), "Max distances", // histogramdataset); JFreeChart chart = ChartFactory.createHistogram("Distribution of minimal distances", // title "Distance" + unitLegend(unit), // domain axis label "Intensity", // range axis label histogramdataset, // data PlotOrientation.VERTICAL, // orientation false, // include legend true, // tooltips? false // URLs? ); addTransparency(chart); final BufferedImage image = chart.createBufferedImage(this.width, this.height, BufferedImage.TYPE_INT_ARGB, null); return new QImage(toByte(image.getData().getDataBuffer()), this.width, this.height, QImage.Format.Format_ARGB32); }
From source file:org.openmrs.web.controller.ConceptStatsFormController.java
/** * Called prior to form display. Allows for data to be put in the request to be used in the view * * @see org.springframework.web.servlet.mvc.SimpleFormController#referenceData(javax.servlet.http.HttpServletRequest) *//* w w w .j av a 2 s .c o m*/ protected Map<String, Object> referenceData(HttpServletRequest request) throws Exception { Map<String, Object> map = new HashMap<String, Object>(); if (!Context.hasPrivilege("View Observations")) { return map; } MessageSourceAccessor msa = getMessageSourceAccessor(); Locale locale = Context.getLocale(); ConceptService cs = Context.getConceptService(); String conceptId = request.getParameter("conceptId"); //List<Obs> obs = new Vector<Obs>(); //List<Obs> obsAnswered = new Vector<Obs>(); if (conceptId != null) { Concept concept = cs.getConcept(Integer.valueOf(conceptId)); ObsService obsService = Context.getObsService(); if (concept != null) { // previous/next ids for links map.put("previousConcept", cs.getPrevConcept(concept)); map.put("nextConcept", cs.getNextConcept(concept)); //obs = obsService.getObservations(concept, "valueNumeric, obsId"); //obsAnswered = obsService.getObservationsAnsweredByConcept(concept); if (ConceptDatatype.NUMERIC.equals(concept.getDatatype().getHl7Abbreviation())) { map.put("displayType", "numeric"); List<Obs> numericAnswers = obsService.getObservations(null, null, Collections.singletonList(concept), null, Collections.singletonList(OpenmrsConstants.PERSON_TYPE.PERSON), null, Collections.singletonList("valueNumeric"), null, null, null, null, false); if (numericAnswers.size() > 0) { Double min = numericAnswers.get(0).getValueNumeric(); Double max = (Double) numericAnswers.get(numericAnswers.size() - 1).getValueNumeric(); Double median = (Double) numericAnswers.get(numericAnswers.size() / 2).getValueNumeric(); Map<Double, Integer> counts = new HashMap<Double, Integer>(); // counts for the histogram Double total = 0.0; // sum of values. used for mean // dataset setup for lineChart TimeSeries timeSeries = new TimeSeries(concept.getName().getName(), Day.class); TimeSeriesCollection timeDataset = new TimeSeriesCollection(); Calendar calendar = Calendar.getInstance(); // array for histogram double[] obsNumerics = new double[(numericAnswers.size())]; Integer i = 0; for (Obs obs : numericAnswers) { Date date = (Date) obs.getObsDatetime(); Double value = (Double) obs.getValueNumeric(); // for mean calculation total += value; // for histogram obsNumerics[i++] = value; Integer count = counts.get(value); counts.put(value, count == null ? 1 : count + 1); // for line chart calendar.setTime(date); Day day = new Day(calendar.get(Calendar.DAY_OF_MONTH), calendar.get(Calendar.MONTH) + 1, // January = 0 calendar.get(Calendar.YEAR) < 1900 ? 1900 : calendar.get(Calendar.YEAR) // jfree chart doesn't like the 19th century ); timeSeries.addOrUpdate(day, value); } Double size = new Double(numericAnswers.size()); Double mean = total / size; map.put("size", numericAnswers.size()); map.put("min", min); map.put("max", max); map.put("mean", mean); map.put("median", median); // create histogram chart HistogramDataset histDataset = new HistogramDataset(); // dataset for histogram histDataset.addSeries(concept.getName().getName(), obsNumerics, counts.size()); JFreeChart histogram = ChartFactory.createHistogram(concept.getName().getName(), msa.getMessage("Concept.stats.histogramDomainAxisTitle"), msa.getMessage("Concept.stats.histogramRangeAxisTitle"), histDataset, PlotOrientation.VERTICAL, false, true, false); map.put("histogram", histogram); if (size > 25) { // calculate 98th percentile of the data: Double x = 0.98; Integer xpercentile = (int) (x * size); Double upperQuartile = numericAnswers.get(xpercentile).getValueNumeric(); Double lowerQuartile = numericAnswers.get((int) (size - xpercentile)).getValueNumeric(); Double innerQuartile = upperQuartile - lowerQuartile; Double innerQuartileLimit = innerQuartile * 1.5; // outliers will be greater than this from the upper/lower quartile Double upperQuartileLimit = upperQuartile + innerQuartileLimit; Double lowerQuartileLimit = lowerQuartile - innerQuartileLimit; List<Obs> outliers = new Vector<Obs>(); // move outliers to the outliers list // removing lower quartile outliers for (i = 0; i < size - xpercentile; i++) { Obs possibleOutlier = numericAnswers.get(i); if (possibleOutlier.getValueNumeric() >= lowerQuartileLimit) { break; // quit if this value is greater than the lower limit } outliers.add(possibleOutlier); } // removing upper quartile outliers for (i = size.intValue() - 1; i >= xpercentile; i--) { Obs possibleOutlier = numericAnswers.get(i); if (possibleOutlier.getValueNumeric() <= upperQuartileLimit) { break; // quit if this value is less than the upper limit } outliers.add(possibleOutlier); } numericAnswers.removeAll(outliers); double[] obsNumericsOutliers = new double[(numericAnswers.size())]; i = 0; counts.clear(); for (Obs values : numericAnswers) { Double value = values.getValueNumeric(); obsNumericsOutliers[i++] = value; Integer count = counts.get(value); counts.put(value, count == null ? 1 : count + 1); } // create outlier histogram chart HistogramDataset outlierHistDataset = new HistogramDataset(); outlierHistDataset.addSeries(concept.getName().getName(), obsNumericsOutliers, counts.size()); JFreeChart histogramOutliers = ChartFactory.createHistogram(concept.getName().getName(), msa.getMessage("Concept.stats.histogramDomainAxisTitle"), msa.getMessage("Concept.stats.histogramRangeAxisTitle"), outlierHistDataset, PlotOrientation.VERTICAL, false, true, false); map.put("histogramOutliers", histogramOutliers); map.put("outliers", outliers); } // create line graph chart timeDataset.addSeries(timeSeries); JFreeChart lineChart = ChartFactory.createTimeSeriesChart(concept.getName().getName(), msa.getMessage("Concept.stats.lineChartDomainAxisLabel"), msa.getMessage("Concept.stats.lineChartRangeAxisLabel"), timeDataset, false, true, false); map.put("timeSeries", lineChart); } } else if (ConceptDatatype.BOOLEAN.equals(concept.getDatatype().getHl7Abbreviation())) { // create bar chart for boolean answers map.put("displayType", "boolean"); List<Obs> obs = obsService.getObservations(null, null, Collections.singletonList(concept), null, Collections.singletonList(OpenmrsConstants.PERSON_TYPE.PERSON), null, null, null, null, null, null, false); DefaultPieDataset pieDataset = new DefaultPieDataset(); // count the number of unique answers Map<String, Integer> counts = new HashMap<String, Integer>(); for (Obs o : obs) { Boolean answer = o.getValueAsBoolean(); if (answer == null) { answer = false; } String name = answer.toString(); Integer count = counts.get(name); counts.put(name, count == null ? 1 : count + 1); } // put the counts into the dataset for (Map.Entry<String, Integer> entry : counts.entrySet()) { pieDataset.setValue(entry.getKey(), entry.getValue()); } JFreeChart pieChart = ChartFactory.createPieChart(concept.getName().getName(), pieDataset, true, true, false); map.put("pieChart", pieChart); } else if (ConceptDatatype.CODED.equals(concept.getDatatype().getHl7Abbreviation())) { // create pie graph for coded answers map.put("displayType", "coded"); List<Obs> obs = obsService.getObservations(null, null, Collections.singletonList(concept), null, Collections.singletonList(OpenmrsConstants.PERSON_TYPE.PERSON), null, null, null, null, null, null, false); DefaultPieDataset pieDataset = new DefaultPieDataset(); // count the number of unique answers Map<String, Integer> counts = new HashMap<String, Integer>(); for (Obs o : obs) { Concept value = o.getValueCoded(); String name; if (value == null) { name = "[value_coded is null]"; } else { name = value.getName().getName(); } Integer count = counts.get(name); counts.put(name, count == null ? 1 : count + 1); } // put the counts into the dataset for (Map.Entry<String, Integer> entry : counts.entrySet()) { pieDataset.setValue(entry.getKey(), entry.getValue()); } JFreeChart pieChart = ChartFactory.createPieChart(concept.getName().getName(), pieDataset, true, true, false); map.put("pieChart", pieChart); } } } //map.put("obs", obs); //map.put("obsAnswered", obsAnswered); map.put("locale", locale.getLanguage().substring(0, 2)); return map; }
From source file:org.jfree.data.statistics.HistogramDatasetTest.java
/** * A test to show the limitation addressed by patch 2902842. *//*from w w w .ja v a2s .c o m*/ @Test public void test2902842() { this.lastEvent = null; double[] values = { 0.0, 1.0, 2.0, 3.0, 4.0, 5.0 }; HistogramDataset hd = new HistogramDataset(); hd.addChangeListener(this); hd.addSeries("S1", values, 5); assertNotNull(this.lastEvent); }
From source file:org.ect.reo.simulation.views.SimulationViewResults.java
private static JFreeChart createHistogram(Statistic statistic, Composite composite) { HistogramDataset dataset = new HistogramDataset(); dataset.setType(HistogramType.RELATIVE_FREQUENCY); int numOfBatches = Integer.parseInt(SimulationViewOptions.batchNumberText.getText()); double[] values = new double[numOfBatches]; for (int i = 0; i < numOfBatches; i++) { values[i] = statistic.getStatisticValue(i); }// w ww .ja v a 2 s . c o m try { dataset.addSeries("Histogram of batch values", values, (int) Math.ceil(Math.log(numOfBatches) / Math.log(2) + 1)); return ChartFactory.createHistogram("Batch results", "Value", "Relative frequency", dataset, PlotOrientation.VERTICAL, false, true, false); } catch (Throwable t) { return null; } }
From source file:playground.anhorni.surprice.analysis.ModeSharesEventHandler.java
public HistogramDataset getHistogramDataset(final int nBins) { HistogramDataset output = new HistogramDataset(); output.setType(HistogramType.RELATIVE_FREQUENCY); ArrayList<Double> croppedData = new ArrayList<Double>(); for (String mode : this.rawData.keySet()) { for (double d : this.rawData.get(mode).getElements()) { if (d < this.maxXYForPlotting) { croppedData.add(d);/*from w w w .j a va 2 s.com*/ } } output.addSeries(mode, Utils.convert(croppedData), nBins); } return output; }
From source file:com.compomics.cell_coord.gui.controller.computation.ComputationDataController.java
/** * * @param track/*from w w w .jav a 2 s . com*/ */ private void plotDeltaX(Track track) { Double[] deltaXValues = ComputationUtils.transpose2DArray(track.getSteps())[0]; double[] values = ArrayUtils.toPrimitive(ComputationUtils.excludeNullValues(deltaXValues)); HistogramDataset histogramDataset = new HistogramDataset(); histogramDataset.addSeries("", values, 2); String title = "delta_x_values for track: " + track.getTrackid(); JFreeChart jFreeChart = ChartFactory.createHistogram(title, "delta_x", "count", histogramDataset, PlotOrientation.VERTICAL, true, true, true); ChartPanel chartPanel = new ChartPanel(jFreeChart); computationDataPanel.getDeltaxPlotPanel().removeAll(); computationDataPanel.getDeltaxPlotPanel().add(chartPanel, gridBagConstraints); computationDataPanel.getDeltaxPlotPanel().revalidate(); computationDataPanel.getDeltaxPlotPanel().repaint(); }