List of usage examples for org.jfree.data.statistics HistogramDataset setType
public void setType(HistogramType type)
From source file:be.ugent.maf.cellmissy.gui.controller.analysis.singlecell.AngleDirectController.java
/** * For a single well, generate an histogram dataset. * * @param data//from w w w . java2 s. com * @param seriesKey * @param mapTo360 * @return an HistogramDataset */ private HistogramDataset getHistogramDatasetForAWell(String seriesKey, Double[] data, int bins, HistogramType type, boolean mapTo360) { HistogramDataset dataset = new HistogramDataset(); dataset.setType(type); double[] toPrimitive = ArrayUtils.toPrimitive(AnalysisUtils.excludeNullValues(data)); double[] toAdd; if (!mapTo360) { toAdd = toPrimitive; } else { double[] mappedData = new double[toPrimitive.length]; for (int i = 0; i < toPrimitive.length; i++) { if (toPrimitive[i] > 0) { mappedData[i] = toPrimitive[i]; } else { mappedData[i] = toPrimitive[i] + 360; } } toAdd = mappedData; } dataset.addSeries(seriesKey, toAdd, bins); return dataset; }
From source file:net.bioclipse.chembl.business.ChEMBLManager.java
public void moSSViewHistogram(IStringMatrix matrix) throws BioclipseException { XYSeries series = new XYSeries("Activity for compounds"); HistogramDataset histogramSeries = new HistogramDataset(); histogramSeries.setType(HistogramType.FREQUENCY); ArrayList<Double> activites = new ArrayList<Double>(); double value; int cnt = 1;// ww w . j a v a 2 s .c o m double[] histact = new double[matrix.getRowCount() + 1]; for (int i = 1; i < matrix.getRowCount() + 1; i++) { if (matrix.get(i, "actval").equals("")) { value = 0; } else { value = Double.parseDouble(matrix.get(i, "actval")); } activites.add(value); } //Sort list to increasing order of activities and adds them to histogram Collections.sort(activites); for (int i = 0; i < activites.size(); i++) { double d = activites.get(i); histact[i] = d; int t = activites.size() - 1; if (i == t) { series.add(d, cnt); } else { double dd = activites.get(i + 1); if (d == dd) { cnt++; } else { histact[i] = d; series.add(d, cnt); cnt = 1; } } } histogramSeries.addSeries("Histogram", histact, matrix.getRowCount()); JFreeChart jfreechart = ChartFactory.createXYLineChart("Histogram", "Activity values", "Number of compounds", histogramSeries, PlotOrientation.VERTICAL, true, false, false); ChartFrame frame = new ChartFrame("Activities", jfreechart); frame.pack(); frame.setVisible(true); }
From source file:MSUmpire.DIA.TargetMatchScoring.java
public void MixtureModeling() throws IOException { if (libTargetMatches.isEmpty()) { return;/*from ww w .j a va2 s. c o m*/ } int IDNo = 0; int decoyNo = 0; int modelNo = 0; double IDmean = 0d; double Decoymean = 0d; for (UmpireSpecLibMatch match : libIDMatches) { if (match.BestHit != null) { IDNo++; IDmean += match.BestHit.UmpireScore; } } decoyNo = decoyModelingList.size(); for (PeakGroupScore peakGroupScore : decoyModelingList) { Decoymean += peakGroupScore.UmpireScore; } for (UmpireSpecLibMatch match : libTargetMatches) { //modelNo+= match.TargetHits.size(); if (match.BestMS1Hit != null) { modelNo++; } if (match.BestMS2Hit != null) { modelNo++; } } Decoymean /= decoyNo; IDmean /= IDNo; PVector[] points = new PVector[modelNo]; PVector[] centroids = new PVector[2]; int idx = 0; for (UmpireSpecLibMatch match : libTargetMatches) { if (match.BestMS1Hit != null) { points[idx] = new PVector(1); points[idx].array[0] = match.BestMS1Hit.UmpireScore; idx++; } if (match.BestMS2Hit != null) { points[idx] = new PVector(1); points[idx].array[0] = match.BestMS2Hit.UmpireScore; idx++; } // for(PeakGroupScore peakGroupScore : match.TargetHits){ // points[idx] = new PVector(1); // points[idx].array[0] = match.BestMS2Hit.UmpireScore; // idx++; // } } MixtureModel mmc; centroids[0] = new PVector(1); centroids[0].array[0] = Decoymean; centroids[1] = new PVector(1); centroids[1].array[0] = IDmean; Vector<PVector>[] clusters = KMeans.run(points, 2, centroids); MixtureModel mm = ExpectationMaximization1D.initialize(clusters); mmc = ExpectationMaximization1D.run(points, mm); DecimalFormat df = new DecimalFormat("#.####"); Logger.getRootLogger() .debug("----------------------------------------------------------------------------------------"); Logger.getRootLogger().debug("No. of modeling points=" + modelNo); Logger.getRootLogger().debug("ID hits mean=" + df.format(IDmean)); Logger.getRootLogger().debug("Decoy hits mean=" + df.format(Decoymean)); //System.out.print("T-test: p-value=" + df.format(model.ttest.pValue).toString() + "\n"); Logger.getRootLogger() .debug("Incorrect hits model mean=" + df.format(((PVector) mmc.param[0]).array[0]) + " variance=" + df.format(((PVector) mmc.param[0]).array[1]) + " weight=" + df.format(mmc.weight[0])); Logger.getRootLogger() .debug("Correct hits model mean=" + df.format(((PVector) mmc.param[1]).array[0]) + " variance=" + df.format(((PVector) mmc.param[1]).array[1]) + " weight=" + df.format(mmc.weight[1])); if (((PVector) mmc.param[0]).array[0] > ((PVector) mmc.param[1]).array[0]) { return; } float max = (float) (((PVector) mmc.param[1]).array[0] + 4 * Math.sqrt(((PVector) mmc.param[1]).array[1])); float min = (float) (((PVector) mmc.param[0]).array[0] - 4 * Math.sqrt(((PVector) mmc.param[0]).array[1])); IDNo = 0; decoyNo = 0; modelNo = 0; for (PeakGroupScore peakGroupScore : decoyModelingList) { if (peakGroupScore.UmpireScore > min && peakGroupScore.UmpireScore < max) { decoyNo++; } } for (UmpireSpecLibMatch match : libIDMatches) { if (match.BestHit != null && match.BestHit.UmpireScore > min && match.BestHit.UmpireScore < max) { IDNo++; } } for (UmpireSpecLibMatch match : libTargetMatches) { //targetNo += match.TargetHits.size(); //decoyNo += match.DecoyHits.size(); if (match.BestMS1Hit != null && match.BestMS1Hit.UmpireScore > min && match.BestMS1Hit.UmpireScore < max) { modelNo++; } if (match.BestMS2Hit != null && match.BestMS2Hit.UmpireScore > min && match.BestMS2Hit.UmpireScore < max) { modelNo++; } //modelNo += match.TargetHits.size(); } double[] IDObs = new double[IDNo]; double[] DecoyObs = new double[decoyNo]; double[] ModelObs = new double[modelNo]; idx = 0; int didx = 0; int midx = 0; for (UmpireSpecLibMatch match : libIDMatches) { if (match.BestHit != null && match.BestHit.UmpireScore > min && match.BestHit.UmpireScore < max) { IDObs[idx++] = match.BestHit.UmpireScore; } } for (PeakGroupScore peakGroupScore : decoyModelingList) { if (peakGroupScore.UmpireScore > min && peakGroupScore.UmpireScore < max) { DecoyObs[didx++] = peakGroupScore.UmpireScore; } } for (UmpireSpecLibMatch match : libTargetMatches) { // for(PeakGroupScore peak : match.TargetHits){ // ModelObs[midx++]=peak.UmpireScore; // } if (match.BestMS1Hit != null && match.BestMS1Hit.UmpireScore > min && match.BestMS1Hit.UmpireScore < max) { ModelObs[midx++] = match.BestMS1Hit.UmpireScore; } if (match.BestMS2Hit != null && match.BestMS2Hit.UmpireScore > min && match.BestMS2Hit.UmpireScore < max) { ModelObs[midx++] = match.BestMS2Hit.UmpireScore; } } String pngfile = FilenameUtils.getFullPath(Filename) + "/" + FilenameUtils.getBaseName(Filename) + "_" + LibID + "_LibMatchModel.png"; XYSeries model1 = new XYSeries("Incorrect matches"); XYSeries model2 = new XYSeries("Correct matches"); XYSeries model3 = new XYSeries("All target hits"); String modelfile = FilenameUtils.getFullPath(pngfile) + "/" + FilenameUtils.getBaseName(pngfile) + "_ModelPoints.txt"; FileWriter writer = new FileWriter(modelfile); writer.write("UScore\tModel\tCorrect\tDecoy\n"); int NoPoints = 1000; double[] model_kde_x = new double[NoPoints]; float intv = (max - min) / NoPoints; PVector point = new PVector(2); for (int i = 0; i < NoPoints; i++) { point.array[0] = max - i * intv; model_kde_x[i] = point.array[0]; point.array[1] = mmc.EF.density(point, mmc.param[0]) * mmc.weight[0]; model1.add(point.array[0], point.array[1]); point.array[1] = mmc.EF.density(point, mmc.param[1]) * mmc.weight[1]; model2.add(point.array[0], point.array[1]); } KernelDensityEstimator kde = new KernelDensityEstimator(); kde.SetData(ModelObs); double[] model_kde_y = kde.Density(model_kde_x); for (int i = 0; i < NoPoints; i++) { if (model_kde_x[i] > min && model_kde_x[i] < max) { point.array[0] = max - i * intv; model_kde_x[i] = point.array[0]; model3.add(model_kde_x[i], model_kde_y[i]); writer.write(point.array[0] + "\t" + mmc.EF.density(point, mmc.param[0]) * mmc.weight[0] + "\t" + mmc.EF.density(point, mmc.param[1]) * mmc.weight[1] + "\t" + model_kde_y[i] + "\n"); } } writer.close(); MixtureModelProb = new float[NoPoints + 1][3]; float positiveaccu = 0f; float negativeaccu = 0f; MixtureModelProb[0][0] = (float) model2.getMaxX() + Float.MIN_VALUE; MixtureModelProb[0][1] = 1f; MixtureModelProb[0][2] = 1f; for (int i = 1; i < NoPoints + 1; i++) { float positiveNumber = model2.getY(NoPoints - i).floatValue(); float negativeNumber = model1.getY(NoPoints - i).floatValue(); MixtureModelProb[i][0] = model2.getX(NoPoints - i).floatValue(); positiveaccu += positiveNumber; negativeaccu += negativeNumber; MixtureModelProb[i][2] = positiveNumber / (negativeNumber + positiveNumber); MixtureModelProb[i][1] = positiveaccu / (negativeaccu + positiveaccu); } XYSeriesCollection dataset = new XYSeriesCollection(); dataset.addSeries(model1); dataset.addSeries(model2); dataset.addSeries(model3); HistogramDataset histogramDataset = new HistogramDataset(); histogramDataset.setType(HistogramType.SCALE_AREA_TO_1); histogramDataset.addSeries("ID hits", IDObs, 100); histogramDataset.addSeries("Decoy hits", DecoyObs, 100); //histogramDataset.addSeries("Model hits", ModelObs, 100); JFreeChart chart = ChartFactory.createHistogram(FilenameUtils.getBaseName(pngfile), "Score", "Hits", histogramDataset, PlotOrientation.VERTICAL, true, false, false); XYPlot plot = chart.getXYPlot(); NumberAxis domain = (NumberAxis) plot.getDomainAxis(); domain.setRange(min, max); plot.setBackgroundPaint(Color.white); plot.setDomainGridlinePaint(Color.white); plot.setRangeGridlinePaint(Color.white); plot.setForegroundAlpha(0.8f); chart.setBackgroundPaint(Color.white); XYLineAndShapeRenderer render = new XYLineAndShapeRenderer(); // render.setSeriesPaint(0, Color.DARK_GRAY); // render.setSeriesPaint(1, Color.DARK_GRAY); // render.setSeriesPaint(2, Color.GREEN); // render.setSeriesShape(0, new Ellipse2D.Double(0, 0, 2, 2)); // render.setSeriesShape(1, new Ellipse2D.Double(0, 0, 2, 2)); // render.setSeriesShape(2, new Ellipse2D.Double(0, 0, 2.5f, 2.5f)); // render.setSeriesStroke(1, new BasicStroke(1.0f)); // render.setSeriesStroke(0, new BasicStroke(1.0f)); // render.setSeriesStroke(2, new BasicStroke(2.0f)); plot.setDataset(1, dataset); plot.setRenderer(1, render); plot.setDatasetRenderingOrder(DatasetRenderingOrder.FORWARD); try { ChartUtilities.saveChartAsPNG(new File(pngfile), chart, 1000, 600); } catch (IOException e) { } }
From source file:v800_trainer.JHistogram.java
public JPanel StartHistoHf(JCicloTronic JTronicHandle) { boolean Summenhisto; int von = 0;/*from w w w . ja v a2 s.c o 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("", "Herzfrequenz [p/min]", "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; } //einzelne Tour oder alle Touren von = Integer.parseInt(JTronicHandle.Properties.getProperty("HistovonHf", "100")); bis = Integer.parseInt(JTronicHandle.Properties.getProperty("HistobisHf", "200")); Gruppen = Integer.parseInt(JTronicHandle.Properties.getProperty("HistostepHf", "10")); Anzahl = (JTronicHandle.Auswahl_Histogramm.getItemCount() - 2) * single + 1; //komische Mathe; //wenn nur eine Tour ausgewhlt ist single = 0 und damit Anzahl =1 // sonst single gleich 1 und die Anzahl ist ItemCont - 1 for (j = 0; j < Anzahl; j++) { if (single == 1) { selected = j + 1; // single = 1 => Summe ist ausgewhlt und selected muss ein hher gesetz werden } 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++) { //hier wird nun ber alle Daten gezhlt Buffer = (double) JTronicHandle.Statistikhandle.TourData[selected].Hf_gesZeit[i]; //aktueller Wert zwischengespeichert if (Buffer >= von && Buffer <= bis) { Bufferarray.add(Buffer); //wenn im ges. Intervall dann in das Bufferarray } } } else { //Summenhist ist ausgewhlt for (i = 0; i < j + 1; i++) { //schlechte Schleifensteuerung i=1;i<j htte es auch getan create_Start_Stop(JTronicHandle, i + 1); for (m = start; m < stop; m++) { // Schleife ber alle Datenpunkte Buffer = (double) JTronicHandle.Statistikhandle.TourData[i + 1].Hf_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 histoHF = new HistogramDataset(); histoHF.addSeries( "" + JTronicHandle.Statistikhandle.TourData[selected].Tag + "." + JTronicHandle.Statistikhandle.TourData[selected].Monat + "." + JTronicHandle.Statistikhandle.TourData[selected].Jahr, DummyData, Gruppen, (double) von, (double) bis); histoHF.setType(HistogramType.RELATIVE_FREQUENCY); plot.setDataset(Linecount, histoHF); plot.mapDatasetToRangeAxis(Linecount, 0); XYBarRenderer renderer = new XYBarRenderer(); renderer.setDrawBarOutline(true); // renderer.setShadowVisible(false); renderer.setSeriesPaint(0, getColour(Linecount, (int) 255 / Anzahl)); renderer.setBaseToolTipGenerator(new StandardXYToolTipGenerator()); plot.setRenderer(Linecount, renderer); } Linecount++; } if (Summenhisto) { HistogramDataset histoHF = new HistogramDataset(); histoHF.addSeries("Summenhistogram", DummyData, Gruppen, (double) von, (double) bis); histoHF.setType(HistogramType.RELATIVE_FREQUENCY); plot.setDataset(0, histoHF); 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:v800_trainer.JHistogram.java
public JPanel StartHistoSp(JCicloTronic JTronicHandle) { boolean Summenhisto; int von = 0;// ww w. j a va 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:v800_trainer.JHistogram.java
public JPanel StartHistoSchrittlnge(JCicloTronic JTronicHandle) { boolean Summenhisto; int von = 0;// w w w. ja v a 2 s .c o 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("", "Schrittlnge [cm]", "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("HistovonSchrittlnge", "100")); bis = Integer.parseInt(JTronicHandle.Properties.getProperty("HistobisSchrittlnge", "200")); Gruppen = Integer.parseInt(JTronicHandle.Properties.getProperty("HistostepSchrittlnge", "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].Schritt_lnge[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].Schritt_lnge[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, "StartHistoSchrittlnge\nFehler: Hm " + 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:v800_trainer.JHistogram.java
public JPanel StartHistoHm(JCicloTronic JTronicHandle) { boolean Summenhisto; int von = 0;/*from w w w. j a v a2s . c o 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("", "Steigung [m/min]", "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("HistovonHm", "100")); bis = Integer.parseInt(JTronicHandle.Properties.getProperty("HistobisHm", "200")); Gruppen = Integer.parseInt(JTronicHandle.Properties.getProperty("HistostepHm", "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].Steigm_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].Steigm_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: Hm " + 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:v800_trainer.JHistogram.java
public JPanel StartHistoCd(JCicloTronic JTronicHandle) { boolean Summenhisto; int von = 0;//from w w w . j a v a 2s .c o 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("", "Cadence [n/min]", "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("HistovonCd", "100")); bis = Integer.parseInt(JTronicHandle.Properties.getProperty("HistobisCd", "200")); Gruppen = Integer.parseInt(JTronicHandle.Properties.getProperty("HistostepCd", "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].Cadence_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].Cadence_gesZeit[m]; if (Buffer >= von && Buffer <= bis) { Bufferarray.add(Buffer); } } n += m; } } 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, "StartHistoCd\nFehler: Cd " + 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:pipeline.GUI_utils.JXTablePerColumnFiltering.java
public void updateRangeOfColumn(int columnIndex, boolean reinitializeSelection, int boundsToUpdate, boolean suppressModelInit) { if (!suppressModelInit) { needToInitializeFilterModel = true; initializeFilterModel();/* ww w. j a v a 2 s .co m*/ } boolean isFloat = model.getValueAt(0, columnIndex) instanceof Float; boolean isDouble = model.getValueAt(0, columnIndex) instanceof Double; boolean isInteger = model.getValueAt(0, columnIndex) instanceof Integer; boolean isSpreadsheetCell = model.getValueAt(0, columnIndex) instanceof SpreadsheetCell; if (!(isFloat || isInteger || isSpreadsheetCell || isDouble)) return; double min = Double.MAX_VALUE; double max = Double.MIN_VALUE; double[] valuesForHistogram = new double[model.getRowCount()]; for (int i = 0; i < model.getRowCount(); i++) { double value; if (isFloat) value = (Float) model.getValueAt(i, columnIndex); else if (isDouble) value = (Double) model.getValueAt(i, columnIndex); else if (isInteger) value = (Integer) model.getValueAt(i, columnIndex); else { value = ((SpreadsheetCell) model.getValueAt(i, columnIndex)).getFloatValue(); } if (Double.isNaN(value)) value = 0.0d; if (value < min) min = value; if (value > max) max = value; valuesForHistogram[i] = value; } // Now compute a histogram; this could be optimized HistogramDataset dataset = new HistogramDataset(); dataset.setType(HistogramType.RELATIVE_FREQUENCY); dataset.addSeries("Histogram", valuesForHistogram, 15); if (isFloat || isDouble || isSpreadsheetCell) { FloatRangeParameter param = (FloatRangeParameter) filteringModel.getValueAt(0, columnIndex); param.histogram = dataset; float[] currentValue = (float[]) param.getValue(); if ((boundsToUpdate == BOTH_BOUNDS) || boundsToUpdate == LOWER_BOUND) currentValue[2] = (float) min; if ((boundsToUpdate == BOTH_BOUNDS) || boundsToUpdate == UPPER_BOUND) currentValue[3] = (float) max; if (reinitializeSelection) { currentValue[0] = currentValue[2]; currentValue[1] = currentValue[3]; } param.setValueFireIfAppropriate(currentValue, false, true, true); } else { IntRangeParameter param = (IntRangeParameter) filteringModel.getValueAt(0, columnIndex); int[] currentValue = (int[]) param.getValue(); if ((boundsToUpdate == BOTH_BOUNDS) || boundsToUpdate == LOWER_BOUND) currentValue[2] = (int) min; if ((boundsToUpdate == BOTH_BOUNDS) || boundsToUpdate == UPPER_BOUND) currentValue[3] = (int) max; if (reinitializeSelection) { currentValue[0] = currentValue[2]; currentValue[1] = currentValue[3]; } param.setValueFireIfAppropriate(currentValue, false, true, true); } }