List of usage examples for javafx.scene.layout GridPane setHgrow
public static void setHgrow(Node child, Priority value)
From source file:uk.co.everywheremusic.viewcontroller.SetupScene.java
private boolean validateForm() { boolean valid = true; String errorMessage = ""; File musicDir = new File(txtFolder.getText()); if (!musicDir.isDirectory()) { valid = false;// w w w. j ava2s .c om errorMessage += Globals.SETUP_ERR_INVALID_FOLDER + "\n\n"; } String password = txtPassword.getText(); String confirmPassword = txtConfirmPassword.getText(); if (!password.equals(confirmPassword)) { valid = false; errorMessage += "Passwords do not match\n\n"; } if (password.equals("")) { valid = false; errorMessage += "Enter a password\n\n"; } if (!valid) { Alert alert = new Alert(AlertType.INFORMATION); alert.setTitle(Globals.SETUP_ALERT_TITLE); alert.setHeaderText(Globals.SETUP_ALERT_HEADER_TEXT); TextArea text = new TextArea(errorMessage); text.setEditable(false); text.setWrapText(true); GridPane.setVgrow(text, Priority.NEVER); GridPane.setHgrow(text, Priority.NEVER); GridPane content = new GridPane(); content.setMaxWidth(Double.MAX_VALUE); content.add(text, 0, 0); alert.getDialogPane().setContent(content); alert.showAndWait(); } return valid; }
From source file:frontend.GUIController.java
@FXML void showAbout(ActionEvent event) { /*Dialogs.create()/*ww w . ja va 2s .com*/ .title("About") .message(getLicense()) .showInformation();*/ Alert alert = new Alert(AlertType.INFORMATION); alert.initOwner(stage); alert.initModality(Modality.APPLICATION_MODAL); alert.setTitle("SAIL 1.1: About"); alert.setHeaderText("SAIL 1.1 details"); alert.setContentText("SAIL 1.1"); Label label = new Label("SAIL License details:"); TextArea textArea = new TextArea(getLicense()); textArea.setEditable(false); textArea.setWrapText(true); textArea.setMaxWidth(Double.MAX_VALUE); textArea.setMaxHeight(Double.MAX_VALUE); GridPane.setVgrow(textArea, Priority.ALWAYS); GridPane.setHgrow(textArea, Priority.ALWAYS); GridPane expContent = new GridPane(); expContent.setMaxWidth(Double.MAX_VALUE); expContent.add(label, 0, 0); expContent.add(textArea, 0, 1); // Set expandable Exception into the dialog pane. alert.getDialogPane().setExpandableContent(expContent); alert.showAndWait(); }
From source file:io.bitsquare.gui.main.overlays.Overlay.java
protected void addMessage() { if (message != null) { messageLabel = new Label(truncatedMessage); messageLabel.setMouseTransparent(true); messageLabel.setWrapText(true);// ww w .j a va2s.co m GridPane.setHalignment(messageLabel, HPos.LEFT); GridPane.setHgrow(messageLabel, Priority.ALWAYS); GridPane.setMargin(messageLabel, new Insets(3, 0, 0, 0)); GridPane.setRowIndex(messageLabel, ++rowIndex); GridPane.setColumnIndex(messageLabel, 0); GridPane.setColumnSpan(messageLabel, 2); gridPane.getChildren().add(messageLabel); } }
From source file:qupath.lib.gui.panels.survival.KaplanMeierDisplay.java
@SuppressWarnings("unchecked") private void generatePlot() { KaplanMeierDisplay.ScoreData newScoreData = scoreData; // If we have a hierarchy, update the scores with the most recent data if (hierarchy != null) { List<TMACoreObject> cores = PathObjectTools.getTMACoreObjects(hierarchy, false); double[] survival = new double[cores.size()]; boolean[] censored = new boolean[cores.size()]; double[] scores = new double[cores.size()]; // // Optionally sort by scores... helps a bit when debugging e.g. p-values, Hazard ratios etc. // cores.sort((c1, c2) -> Double.compare(c1.getMeasurementList().getMeasurementValue(scoreColumn), c2.getMeasurementList().getMeasurementValue(scoreColumn))); // scoreColumn = "Positive %"; // scoreColumn = "RoughScore"; for (int i = 0; i < cores.size(); i++) { TMACoreObject core = cores.get(i); MeasurementList ml = core.getMeasurementList(); survival[i] = core.getMeasurementList().getMeasurementValue(survivalColumn); double censoredValue = core.getMeasurementList().getMeasurementValue(censoredColumn); boolean hasCensoredValue = !Double.isNaN(censoredValue) && (censoredValue == 0 || censoredValue == 1); censored[i] = censoredValue != 0; if (!hasCensoredValue) { // If we don't have a censored value, ensure we mask out everything else scores[i] = Double.NaN; survival[i] = Double.NaN; } else if (ml.containsNamedMeasurement(scoreColumn)) // Get the score if we can scores[i] = ml.getMeasurementValue(scoreColumn); else { // // Try to compute score if we need to // Map<String, Number> map = ROIMeaningfulMeasurements.getPathClassSummaryMeasurements(core.getChildObjects(), true); // Number value = map.get(scoreColumn); // if (value == null) scores[i] = Double.NaN; // else // scores[i] = value.doubleValue(); }//from w w w . j av a2s . co m } // Mask out any scores that don't have associated survival data for (int i = 0; i < survival.length; i++) { if (Double.isNaN(survival[i])) scores[i] = Double.NaN; } newScoreData = new ScoreData(scores, survival, censored); } if (newScoreData == null || newScoreData.scores.length == 0) return; // KaplanMeier kmHigh = new KaplanMeier("Above threshold"); // KaplanMeier kmLow = new KaplanMeier("Below threshold"); double[] quartiles = StatisticsHelper.getQuartiles(newScoreData.scores); double q1 = quartiles[0]; double median = quartiles[1]; double q3 = quartiles[2]; double[] thresholds; if (params != null) { Object thresholdMethod = params.getChoiceParameterValue("scoreThresholdMethod"); if (thresholdMethod.equals("Median")) { // panelParams.setNumericParameterValue("scoreThreshold", median); // ((DoubleParameter)params.getParameters().get("scoreThreshold")).setValue(median); // TODO: UPDATE DIALOG! thresholds = new double[] { median }; } else if (thresholdMethod.equals("Tertiles")) { // ((DoubleParameter)params.getParameters().get("scoreThreshold")).setValue(median); // TODO: UPDATE DIALOG! thresholds = StatisticsHelper.getTertiles(newScoreData.scores); } else if (thresholdMethod.equals("Quartiles")) { // ((DoubleParameter)params.getParameters().get("scoreThreshold")).setValue(median); // TODO: UPDATE DIALOG! thresholds = new double[] { q1, median, q3 }; } else if (thresholdMethod.equals("Manual (1)")) { thresholds = new double[] { params.getDoubleParameterValue("threshold1") }; } else if (thresholdMethod.equals("Manual (2)")) { thresholds = new double[] { params.getDoubleParameterValue("threshold1"), params.getDoubleParameterValue("threshold2") }; } else //if (thresholdMethod.equals("Manual (3)")) { thresholds = new double[] { params.getDoubleParameterValue("threshold1"), params.getDoubleParameterValue("threshold2"), params.getDoubleParameterValue("threshold3") }; } else thresholds = new double[] { median }; double minVal = Double.POSITIVE_INFINITY; double maxVal = Double.NEGATIVE_INFINITY; int numNonNaN = 0; for (double d : newScoreData.scores) { if (Double.isNaN(d)) continue; if (d < minVal) minVal = d; if (d > maxVal) maxVal = d; numNonNaN++; } boolean scoresValid = maxVal > minVal; // If not this, we don't have valid scores that we can work with double maxTimePoint = 0; for (double d : newScoreData.survival) { if (Double.isNaN(d)) continue; if (d > maxTimePoint) maxTimePoint = d; } if (panelParams != null && maxTimePoint > ((IntParameter) params.getParameters().get("censorTimePoints")).getUpperBound()) { panelParams.setNumericParameterValueRange("censorTimePoints", 0, Math.ceil(maxTimePoint)); } // Optionally censor at specified time double censorThreshold = params == null ? maxTimePoint : params.getIntParameterValue("censorTimePoints"); // Compute log-rank p-values for *all* possible thresholds // Simultaneously determine the threshold that yields the lowest p-value, // resolving ties in favour of a more even split between high/low numbers of events boolean pValuesChanged = false; if (calculateAllPValues) { if (!(pValues != null && pValueThresholds != null && newScoreData.equals(scoreData) && censorThreshold == lastPValueCensorThreshold)) { Map<Double, Double> mapLogRank = new TreeMap<>(); Set<Double> setObserved = new HashSet<>(); for (int i = 0; i < newScoreData.scores.length; i++) { Double d = newScoreData.scores[i]; boolean observed = !newScoreData.censored[i] && newScoreData.survival[i] < censorThreshold; if (observed) setObserved.add(d); if (mapLogRank.containsKey(d)) continue; List<KaplanMeierData> kmsTemp = splitByThresholds(newScoreData, new double[] { d }, censorThreshold, false); // if (kmsTemp.get(1).nObserved() == 0 || kmsTemp.get(1).nObserved() == 0) // continue; LogRankResult test = LogRankTest.computeLogRankTest(kmsTemp.get(0), kmsTemp.get(1)); double pValue = test.getPValue(); // double pValue = test.hazardRatio < 1 ? test.hazardRatio : 1.0/test.hazardRatio; // Checking usefulness of Hazard ratios... if (!Double.isFinite(pValue)) continue; // if (!Double.isFinite(test.getHazardRatio())) { //// continue; // pValue = Double.NaN; // } mapLogRank.put(d, pValue); } pValueThresholds = new double[mapLogRank.size()]; pValues = new double[mapLogRank.size()]; pValueThresholdsObserved = new boolean[mapLogRank.size()]; int count = 0; for (Entry<Double, Double> entry : mapLogRank.entrySet()) { pValueThresholds[count] = entry.getKey(); pValues[count] = entry.getValue(); if (setObserved.contains(entry.getKey())) pValueThresholdsObserved[count] = true; count++; } // Find the longest 'significant' stretch int maxSigCount = 0; int maxSigInd = -1; int sigCurrent = 0; int[] sigCount = new int[pValues.length]; for (int i = 0; i < pValues.length; i++) { if (pValues[i] < 0.05) { sigCurrent++; sigCount[i] = sigCurrent; if (sigCurrent > maxSigCount) { maxSigCount = sigCurrent; maxSigInd = i; } } else sigCurrent = 0; } if (maxSigCount == 0) { logger.info("No p-values < 0.05"); } else { double minThresh = maxSigInd - maxSigCount < 0 ? pValueThresholds[0] - 0.0000001 : pValueThresholds[maxSigInd - maxSigCount]; double maxThresh = pValueThresholds[maxSigInd]; int nBetween = 0; int nBetweenObserved = 0; for (int i = 0; i < newScoreData.scores.length; i++) { if (newScoreData.scores[i] > minThresh && newScoreData.scores[i] <= maxThresh) { nBetween++; if (newScoreData.survival[i] < censorThreshold && !newScoreData.censored[i]) nBetweenObserved++; } } logger.info("Longest stretch of p-values < 0.05: {} - {} ({} entries, {} observed)", minThresh, maxThresh, nBetween, nBetweenObserved); } pValuesSmoothed = new double[pValues.length]; Arrays.fill(pValuesSmoothed, Double.NaN); int n = (pValues.length / 20) * 2 + 1; logger.info("Smoothing log-rank test p-values by " + n); for (int i = n / 2; i < pValues.length - n / 2; i++) { double sum = 0; for (int k = i - n / 2; k < i - n / 2 + n; k++) { sum += pValues[k]; } pValuesSmoothed[i] = sum / n; } // for (int i = 0; i < pValues.length; i++) { // double sum = 0; // for (int k = Math.max(0, i-n/2); k < Math.min(pValues.length, i-n/2+n); k++) { // sum += pValues[k]; // } // pValuesSmoothed[i] = sum/n; // } // pValues = pValuesSmoothed; lastPValueCensorThreshold = censorThreshold; pValuesChanged = true; } } else { lastPValueCensorThreshold = Double.NaN; pValueThresholds = null; pValues = null; } // if (params != null && !Double.isNaN(bestThreshold) && (params.getChoiceParameterValue("scoreThresholdMethod").equals("Lowest p-value"))) if (params != null && (params.getChoiceParameterValue("scoreThresholdMethod").equals("Lowest p-value"))) { int bestIdx = -1; double bestPValue = Double.POSITIVE_INFINITY; for (int i = pValueThresholds.length / 10; i < pValueThresholds.length * 9 / 10; i++) { if (pValues[i] < bestPValue) { bestIdx = i; bestPValue = pValues[i]; } } thresholds = bestIdx >= 0 ? new double[] { pValueThresholds[bestIdx] } : new double[0]; } else if (params != null && (params.getChoiceParameterValue("scoreThresholdMethod").equals("Lowest smoothed p-value"))) { int bestIdx = -1; double bestPValue = Double.POSITIVE_INFINITY; for (int i = pValueThresholds.length / 10; i < pValueThresholds.length * 9 / 10; i++) { if (pValuesSmoothed[i] < bestPValue) { bestIdx = i; bestPValue = pValuesSmoothed[i]; } } thresholds = bestIdx >= 0 ? new double[] { pValueThresholds[bestIdx] } : new double[0]; } // Split into different curves using the provided thresholds List<KaplanMeierData> kms = splitByThresholds(newScoreData, thresholds, censorThreshold, params != null && "Quartiles".equals(params.getChoiceParameterValue("scoreThresholdMethod"))); // for (KaplanMeier km : kms) // km.censorAtTime(censorThreshold); //// kmHigh.censorAtTime(censorThreshold); //// kmLow.censorAtTime(censorThreshold); // logger.info("High: " + kmHigh.toString()); // logger.info("Low: " + kmLow.toString()); // logger.info("Log rank comparison: {}", LogRankTest.computeLogRankTest(kmLow, kmHigh)); if (plotter == null) { plotter = new KaplanMeierChartWrapper(survivalColumn + " time"); // plotter.setBorder(BorderFactory.createTitledBorder("Survival plot")); // plotter.getCanvas().setWidth(300); // plotter.getCanvas().setHeight(300); } KaplanMeierData[] kmArray = new KaplanMeierData[kms.size()]; plotter.setKaplanMeierCurves(survivalColumn + " time", kms.toArray(kmArray)); tableModel.setSurvivalCurves(thresholds, params != null && params.getChoiceParameterValue("scoreThresholdMethod").equals("Lowest p-value"), kmArray); // Bar width determined using 'Freedman and Diaconis' rule' (but overridden if this gives < 16 bins...) double barWidth = (2 * q3 - q1) * Math.pow(numNonNaN, -1.0 / 3.0); int nBins = 100; if (!Double.isNaN(barWidth)) barWidth = (int) Math.max(16, Math.ceil((maxVal - minVal) / barWidth)); Histogram histogram = scoresValid ? new Histogram(newScoreData.scores, nBins) : null; if (histogramPanel == null) { GridPane paneHistogram = new GridPane(); histogramPanel = new HistogramPanelFX(); histogramPanel.getChart().setAnimated(false); histogramWrapper = new ThresholdedChartWrapper(histogramPanel.getChart()); for (ObservableNumberValue val : threshProperties) histogramWrapper.addThreshold(val, ColorToolsFX.getCachedColor(240, 0, 0, 128)); histogramWrapper.getPane().setPrefHeight(150); paneHistogram.add(histogramWrapper.getPane(), 0, 0); Tooltip.install(histogramPanel.getChart(), new Tooltip("Distribution of scores")); GridPane.setHgrow(histogramWrapper.getPane(), Priority.ALWAYS); GridPane.setVgrow(histogramWrapper.getPane(), Priority.ALWAYS); NumberAxis xAxis = new NumberAxis(); xAxis.setLabel("Score threshold"); NumberAxis yAxis = new NumberAxis(); yAxis.setLowerBound(0); yAxis.setUpperBound(1); yAxis.setTickUnit(0.1); yAxis.setAutoRanging(false); yAxis.setLabel("P-value"); chartPValues = new LineChart<>(xAxis, yAxis); chartPValues.setAnimated(false); chartPValues.setLegendVisible(false); // Make chart so it can be navigated ChartToolsFX.makeChartInteractive(chartPValues, xAxis, yAxis); pValuesChanged = true; Tooltip.install(chartPValues, new Tooltip( "Distribution of p-values (log-rank test) comparing low vs. high for all possible score thresholds")); // chartPValues.getYAxis().setAutoRanging(false); pValuesWrapper = new ThresholdedChartWrapper(chartPValues); for (ObservableNumberValue val : threshProperties) pValuesWrapper.addThreshold(val, ColorToolsFX.getCachedColor(240, 0, 0, 128)); pValuesWrapper.getPane().setPrefHeight(150); paneHistogram.add(pValuesWrapper.getPane(), 0, 1); GridPane.setHgrow(pValuesWrapper.getPane(), Priority.ALWAYS); GridPane.setVgrow(pValuesWrapper.getPane(), Priority.ALWAYS); ContextMenu popup = new ContextMenu(); ChartToolsFX.addChartExportMenu(chartPValues, popup); RadioMenuItem miZoomY1 = new RadioMenuItem("0-1"); miZoomY1.setOnAction(e -> { yAxis.setAutoRanging(false); yAxis.setUpperBound(1); yAxis.setTickUnit(0.2); }); RadioMenuItem miZoomY05 = new RadioMenuItem("0-0.5"); miZoomY05.setOnAction(e -> { yAxis.setAutoRanging(false); yAxis.setUpperBound(0.5); yAxis.setTickUnit(0.1); }); RadioMenuItem miZoomY02 = new RadioMenuItem("0-0.2"); miZoomY02.setOnAction(e -> { yAxis.setAutoRanging(false); yAxis.setUpperBound(0.2); yAxis.setTickUnit(0.05); }); RadioMenuItem miZoomY01 = new RadioMenuItem("0-0.1"); miZoomY01.setOnAction(e -> { yAxis.setAutoRanging(false); yAxis.setUpperBound(0.1); yAxis.setTickUnit(0.05); }); RadioMenuItem miZoomY005 = new RadioMenuItem("0-0.05"); miZoomY005.setOnAction(e -> { yAxis.setAutoRanging(false); yAxis.setUpperBound(0.05); yAxis.setTickUnit(0.01); }); RadioMenuItem miZoomY001 = new RadioMenuItem("0-0.01"); miZoomY001.setOnAction(e -> { yAxis.setAutoRanging(false); yAxis.setUpperBound(0.01); yAxis.setTickUnit(0.005); }); ToggleGroup tgZoom = new ToggleGroup(); miZoomY1.setToggleGroup(tgZoom); miZoomY05.setToggleGroup(tgZoom); miZoomY02.setToggleGroup(tgZoom); miZoomY01.setToggleGroup(tgZoom); miZoomY005.setToggleGroup(tgZoom); miZoomY001.setToggleGroup(tgZoom); Menu menuZoomY = new Menu("Set y-axis range"); menuZoomY.getItems().addAll(miZoomY1, miZoomY05, miZoomY02, miZoomY01, miZoomY005, miZoomY001); MenuItem miCopyData = new MenuItem("Copy chart data"); miCopyData.setOnAction(e -> { String dataString = ChartToolsFX.getChartDataAsString(chartPValues); ClipboardContent content = new ClipboardContent(); content.putString(dataString); Clipboard.getSystemClipboard().setContent(content); }); popup.getItems().addAll(miCopyData, menuZoomY); chartPValues.setOnContextMenuRequested(e -> { popup.show(chartPValues, e.getScreenX(), e.getScreenY()); }); for (int col = 0; col < tableModel.getColumnCount(); col++) { TableColumn<Integer, String> column = new TableColumn<>(tableModel.getColumnName(col)); int colNumber = col; column.setCellValueFactory( new Callback<CellDataFeatures<Integer, String>, ObservableValue<String>>() { @Override public ObservableValue<String> call(CellDataFeatures<Integer, String> p) { return new SimpleStringProperty( (String) tableModel.getValueAt(p.getValue(), colNumber)); } }); column.setCellFactory(new Callback<TableColumn<Integer, String>, TableCell<Integer, String>>() { @Override public TableCell<Integer, String> call(TableColumn<Integer, String> param) { TableCell<Integer, String> cell = new TableCell<Integer, String>() { @Override protected void updateItem(String item, boolean empty) { super.updateItem(item, empty); setText(item); setTooltip(new Tooltip(item)); } }; return cell; } }); table.getColumns().add(column); } table.setPrefHeight(250); table.setColumnResizePolicy(TableView.CONSTRAINED_RESIZE_POLICY); table.maxHeightProperty().bind(table.prefHeightProperty()); params = new ParameterList(); // maxTimePoint = 0; // for (TMACoreObject core : hierarchy.getTMAGrid().getTMACoreList()) { // double os = core.getMeasurementList().getMeasurementValue(TMACoreObject.KEY_OVERALL_SURVIVAL); // double rfs = core.getMeasurementList().getMeasurementValue(TMACoreObject.KEY_RECURRENCE_FREE_SURVIVAL); // if (os > maxTimePoint) // maxTimePoint = os; // if (rfs > maxTimePoint) // maxTimePoint = rfs; // } params.addIntParameter("censorTimePoints", "Max censored time", (int) (censorThreshold + 0.5), null, 0, (int) Math.ceil(maxTimePoint), "Latest time point beyond which data will be censored"); // params.addChoiceParameter("scoreThresholdMethod", "Threshold method", "Manual", Arrays.asList("Manual", "Median", "Log-rank test")); if (calculateAllPValues) // Don't include "Lowest smoothed p-value" - it's not an established method and open to misinterpretation... params.addChoiceParameter("scoreThresholdMethod", "Threshold method", "Median", Arrays.asList("Manual (1)", "Manual (2)", "Manual (3)", "Median", "Tertiles", "Quartiles", "Lowest p-value")); // params.addChoiceParameter("scoreThresholdMethod", "Threshold method", "Median", Arrays.asList("Manual (1)", "Manual (2)", "Manual (3)", "Median", "Tertiles", "Quartiles", "Lowest p-value", "Lowest smoothed p-value")); else params.addChoiceParameter("scoreThresholdMethod", "Threshold method", "Median", Arrays.asList("Manual (1)", "Manual (2)", "Manual (3)", "Median", "Tertiles", "Quartiles")); params.addDoubleParameter("threshold1", "Threshold 1", thresholds.length > 0 ? thresholds[0] : (minVal + maxVal) / 2, null, "Threshold to distinguish between patient groups"); params.addDoubleParameter("threshold2", "Threshold 2", thresholds.length > 1 ? thresholds[1] : (minVal + maxVal) / 2, null, "Threshold to distinguish between patient groups"); params.addDoubleParameter("threshold3", "Threshold 3", thresholds.length > 2 ? thresholds[2] : (minVal + maxVal) / 2, null, "Threshold to distinguish between patient groups"); params.addBooleanParameter("showAtRisk", "Show at risk", plotter.getShowAtRisk(), "Show number of patients at risk below the plot"); params.addBooleanParameter("showTicks", "Show censored ticks", plotter.getShowCensoredTicks(), "Show ticks to indicate censored data"); params.addBooleanParameter("showKey", "Show key", plotter.getShowKey(), "Show key indicating display of each curve"); // params.addBooleanParameter("useColor", "Use color", plotter.getUseColor(), "Show each curve in a different color"); // params.addBooleanParameter("useStrokes", "Use strokes", plotter.getUseStrokes(), "Show each curve with a differed line stroke"); // Hide threshold parameters if threshold can't be used if (!scoresValid) { // params.setHiddenParameters(true, "scoreThresholdMethod", "scoreThreshold"); histogramPanel.getChart().setVisible(false); } panelParams = new ParameterPanelFX(params); panelParams.addParameterChangeListener(this); updateThresholdsEnabled(); for (int i = 0; i < threshProperties.length; i++) { String p = "threshold" + (i + 1); threshProperties[i].addListener((v, o, n) -> { if (interactiveThresholds()) { // Need to do a decent double check with tolerance to text field value changing while typing if (!GeneralTools.almostTheSame(params.getDoubleParameterValue(p), n.doubleValue(), 0.0001)) panelParams.setNumericParameterValue(p, n); } }); } BorderPane paneBottom = new BorderPane(); TitledPane paneOptions = new TitledPane("Options", panelParams.getPane()); // paneOptions.setCollapsible(false); Pane paneCanvas = new StackPane(); paneCanvas.getChildren().add(plotter.getCanvas()); GridPane paneLeft = new GridPane(); paneLeft.add(paneOptions, 0, 0); paneLeft.add(table, 0, 1); GridPane.setHgrow(paneOptions, Priority.ALWAYS); GridPane.setHgrow(table, Priority.ALWAYS); paneBottom.setLeft(paneLeft); paneBottom.setCenter(paneHistogram); paneMain.setCenter(paneCanvas); paneMain.setBottom(paneBottom); paneMain.setPadding(new Insets(10, 10, 10, 10)); } else if (thresholds.length > 0) { // Ensure the sliders/text fields are set sensibly if (!GeneralTools.almostTheSame(thresholds[0], params.getDoubleParameterValue("threshold1"), 0.0001)) { panelParams.setNumericParameterValue("threshold1", thresholds[0]); } if (thresholds.length > 1 && !GeneralTools.almostTheSame(thresholds[1], params.getDoubleParameterValue("threshold2"), 0.0001)) { panelParams.setNumericParameterValue("threshold2", thresholds[1]); } if (thresholds.length > 2 && !GeneralTools.almostTheSame(thresholds[2], params.getDoubleParameterValue("threshold3"), 0.0001)) { panelParams.setNumericParameterValue("threshold3", thresholds[2]); } } if (histogram != null) { histogramPanel.getHistogramData() .setAll(HistogramPanelFX.createHistogramData(histogram, false, (Color) null)); histogramPanel.getChart().getXAxis().setLabel(scoreColumn); histogramPanel.getChart().getYAxis().setLabel("Count"); ChartToolsFX.addChartExportMenu(histogramPanel.getChart(), null); // histogramWrapper.setVerticalLines(thresholds, ColorToolsFX.getCachedColor(240, 0, 0, 128)); // Deal with threshold adjustment // histogramWrapper.getThresholds().addListener((Observable o) -> generatePlot()); } if (pValues != null) { // TODO: Raise earlier where p-value calculation is if (pValuesChanged) { ObservableList<XYChart.Data<Number, Number>> data = FXCollections.observableArrayList(); for (int i = 0; i < pValueThresholds.length; i++) { double pValue = pValues[i]; if (Double.isNaN(pValue)) continue; data.add(new XYChart.Data<>(pValueThresholds[i], pValue, pValueThresholdsObserved[i])); } ObservableList<XYChart.Data<Number, Number>> dataSmoothed = null; if (pValuesSmoothed != null) { dataSmoothed = FXCollections.observableArrayList(); for (int i = 0; i < pValueThresholds.length; i++) { double pValueSmoothed = pValuesSmoothed[i]; if (Double.isNaN(pValueSmoothed)) continue; dataSmoothed.add(new XYChart.Data<>(pValueThresholds[i], pValueSmoothed)); } } // Don't bother showing the smoothed data... it tends to get in the way... // if (dataSmoothed != null) // chartPValues.getData().setAll(new XYChart.Series<>("P-values", data), new XYChart.Series<>("Smoothed P-values", dataSmoothed)); // else chartPValues.getData().setAll(new XYChart.Series<>("P-values", data)); // Add line to show 0.05 significance threshold if (pValueThresholds.length > 1) { Data<Number, Number> sigData1 = new Data<>(pValueThresholds[0], 0.05); Data<Number, Number> sigData2 = new Data<>(pValueThresholds[pValueThresholds.length - 1], 0.05); XYChart.Series<Number, Number> dataSignificant = new XYChart.Series<>("Signficance 0.05", FXCollections.observableArrayList(sigData1, sigData2)); chartPValues.getData().add(dataSignificant); sigData1.getNode().setVisible(false); sigData2.getNode().setVisible(false); } // chartPValues.getData().get(0).getNode().setVisible(true); // pValuesWrapper.clearThresholds(); for (XYChart.Data<Number, Number> dataPoint : data) { if (!Boolean.TRUE.equals(dataPoint.getExtraValue())) dataPoint.getNode().setVisible(false); } // if (dataSmoothed != null) { // for (XYChart.Data<Number, Number> dataPoint : dataSmoothed) { // dataPoint.getNode().setVisible(false); // } // chartPValues.getData().get(1).getNode().setOpacity(0.5); // } // int count = 0; // for (int i = 0; i < pValueThresholds.length; i++) { // double pValue = pValues[i]; // if (Double.isNaN(pValue)) // continue; // boolean observed = pValueThresholdsObserved[i]; //// if (observed) //// pValuesWrapper.addThreshold(new ReadOnlyDoubleWrapper(pValueThresholds[i]), Color.rgb(0, 0, 0, 0.05)); // // if (!observed) { //// StackPane pane = (StackPane)data.get(count).getNode(); //// pane.setEffect(new DropShadow()); // data.get(count).getNode().setVisible(false); // } // count++; // } } for (int i = 0; i < threshProperties.length; i++) { if (i < thresholds.length) threshProperties[i].set(thresholds[i]); else threshProperties[i].set(Double.NaN); } boolean isInteractive = interactiveThresholds(); histogramWrapper.setIsInteractive(isInteractive); pValuesWrapper.setIsInteractive(isInteractive); chartPValues.setVisible(true); } // else // chartPValues.setVisible(false); // Store values for next time scoreData = newScoreData; }
From source file:qupath.lib.gui.tma.TMASummaryViewer.java
private Pane createSidePane() { BorderPane pane = new BorderPane(); TabPane tabPane = new TabPane(); kmDisplay = new KaplanMeierDisplay(null, null, null, null); BorderPane paneKaplanMeier = new BorderPane(); paneKaplanMeier.setCenter(kmDisplay.getView()); paneKaplanMeier.setPadding(new Insets(10, 10, 10, 10)); // comboMainMeasurement.prefWidthProperty().bind(paneKaplanMeier.widthProperty()); comboMainMeasurement.setMaxWidth(Double.MAX_VALUE); comboMainMeasurement.setTooltip(new Tooltip("Measurement thresholded to create survival curves etc.")); GridPane kmTop = new GridPane(); kmTop.add(new Label("Score"), 0, 0); kmTop.add(comboMainMeasurement, 1, 0); kmTop.add(new Label("Survival type"), 0, 1); kmTop.add(comboSurvival, 1, 1);// ww w . j a va 2 s .c om comboSurvival.setTooltip(new Tooltip("Specify overall or recurrence-free survival (if applicable)")); comboSurvival.setMaxWidth(Double.MAX_VALUE); GridPane.setHgrow(comboMainMeasurement, Priority.ALWAYS); GridPane.setHgrow(comboSurvival, Priority.ALWAYS); kmTop.setHgap(5); paneKaplanMeier.setTop(kmTop); // kmDisplay.setOrientation(Orientation.VERTICAL); histogramDisplay = new HistogramDisplay(model, false); comboMainMeasurement.getSelectionModel().selectedItemProperty().addListener((v, o, n) -> { histogramDisplay.refreshCombo(); histogramDisplay.showHistogram(n); updateSurvivalCurves(); }); comboMeasurementMethod.getSelectionModel().selectedItemProperty().addListener((v, o, n) -> { histogramDisplay.refreshHistogram(); scatterPane.updateChart(); updateSurvivalCurves(); }); comboSurvival.getSelectionModel().selectedItemProperty().addListener((v, o, n) -> { updateSurvivalCurves(); }); // Create a Tab for showing images BorderPane paneImages = new BorderPane(); CheckBox cbShowOverlay = new CheckBox("Show overlay"); imageAvailability.addListener((c, v, n) -> { if (n == ImageAvailability.OVERLAY_ONLY) cbShowOverlay.setSelected(true); else if (n == ImageAvailability.IMAGE_ONLY) cbShowOverlay.setSelected(false); cbShowOverlay.setDisable(n != ImageAvailability.BOTH); }); ListView<TMAEntry> listImages = new ListView<>(); listImages.setCellFactory(v -> new ImageListCell(cbShowOverlay.selectedProperty(), imageCache)); listImages.widthProperty().addListener((v, o, n) -> listImages.refresh()); listImages.setStyle("-fx-control-inner-background-alt: -fx-control-inner-background ;"); table.getSelectionModel().getSelectedItems().addListener((Change<? extends TreeItem<TMAEntry>> e) -> { List<TMAEntry> entries = new ArrayList<>(); for (TreeItem<TMAEntry> item : e.getList()) { if (item.getChildren().isEmpty()) { if (item.getValue().hasImage() || item.getValue().hasOverlay()) entries.add(item.getValue()); } else { for (TreeItem<TMAEntry> item2 : item.getChildren()) { if (item2.getValue().hasImage() || item2.getValue().hasOverlay()) entries.add(item2.getValue()); } } listImages.getItems().setAll(entries); } }); cbShowOverlay.setAlignment(Pos.CENTER); cbShowOverlay.setMaxWidth(Double.MAX_VALUE); cbShowOverlay.setPadding(new Insets(5, 5, 5, 5)); cbShowOverlay.selectedProperty().addListener((v, o, n) -> listImages.refresh()); paneImages.setCenter(listImages); paneImages.setTop(cbShowOverlay); // Determine visibility based upon whether there are any images to show // Tab tabImages = new Tab("Images", paneImages); ScrollPane scrollPane = new ScrollPane(paneKaplanMeier); scrollPane.setFitToWidth(true); scrollPane.setFitToHeight(true); scrollPane.setVbarPolicy(ScrollBarPolicy.AS_NEEDED); scrollPane.setHbarPolicy(ScrollBarPolicy.AS_NEEDED); Tab tabSurvival = new Tab("Survival", scrollPane); tabPane.getTabs().addAll(new Tab("Table", getCustomizeTablePane()), // tabImages, new Tab("Histogram", histogramDisplay.getPane()), new Tab("Scatterplot", scatterPane.getPane()), tabSurvival); tabPane.setTabClosingPolicy(TabClosingPolicy.UNAVAILABLE); // if (imageAvailability.get() != ImageAvailability.NONE) // tabPane.getTabs().add(1, tabImages); // // imageAvailability.addListener((c, v, n) -> { // if (n == ImageAvailability.NONE) // tabPane.getTabs().remove(tabImages); // else if (!tabPane.getTabs().contains(tabImages)) // tabPane.getTabs().add(1, tabImages); // }); // tabSurvival.visibleProperty().bind( // Bindings.createBooleanBinding(() -> !survivalColumns.isEmpty(), survivalColumns) // ); pane.setCenter(tabPane); pane.setMinWidth(350); return pane; }
From source file:qupath.lib.gui.tma.TMASummaryViewer.java
private Pane getCustomizeTablePane() { TableView<TreeTableColumn<TMAEntry, ?>> tableColumns = new TableView<>(); tableColumns.setPlaceholder(new Text("No columns available")); tableColumns.getSelectionModel().setSelectionMode(SelectionMode.MULTIPLE); tableColumns.setColumnResizePolicy(TableView.CONSTRAINED_RESIZE_POLICY); SortedList<TreeTableColumn<TMAEntry, ?>> sortedColumns = new SortedList<>( table.getColumns().filtered(p -> !p.getText().trim().isEmpty())); sortedColumns.setComparator((c1, c2) -> c1.getText().compareTo(c2.getText())); tableColumns.setItems(sortedColumns); sortedColumns.comparatorProperty().bind(tableColumns.comparatorProperty()); // sortedColumns.comparatorProperty().bind(tableColumns.comparatorProperty()); TableColumn<TreeTableColumn<TMAEntry, ?>, String> columnName = new TableColumn<>("Column"); columnName.setCellValueFactory(v -> v.getValue().textProperty()); TableColumn<TreeTableColumn<TMAEntry, ?>, Boolean> columnVisible = new TableColumn<>("Visible"); columnVisible.setCellValueFactory(v -> v.getValue().visibleProperty()); // columnVisible.setCellValueFactory(col -> { // SimpleBooleanProperty prop = new SimpleBooleanProperty(col.getValue().isVisible()); // prop.addListener((v, o, n) -> col.getValue().setVisible(n)); // return prop; // });/*from ww w . j ava 2 s .c o m*/ tableColumns.setEditable(true); columnVisible.setCellFactory(v -> new CheckBoxTableCell<>()); tableColumns.getColumns().add(columnName); tableColumns.getColumns().add(columnVisible); ContextMenu contextMenu = new ContextMenu(); Action actionShowSelected = new Action("Show selected", e -> { for (TreeTableColumn<?, ?> col : tableColumns.getSelectionModel().getSelectedItems()) { if (col != null) col.setVisible(true); else { // Not sure why this happens...? logger.trace("Selected column is null!"); } } }); Action actionHideSelected = new Action("Hide selected", e -> { for (TreeTableColumn<?, ?> col : tableColumns.getSelectionModel().getSelectedItems()) { if (col != null) col.setVisible(false); else { // Not sure why this happens...? logger.trace("Selected column is null!"); } } }); contextMenu.getItems().addAll(ActionUtils.createMenuItem(actionShowSelected), ActionUtils.createMenuItem(actionHideSelected)); tableColumns.setContextMenu(contextMenu); tableColumns.setTooltip( new Tooltip("Show or hide table columns - right-click to change multiple columns at once")); BorderPane paneColumns = new BorderPane(tableColumns); paneColumns.setBottom(PanelToolsFX.createColumnGridControls(ActionUtils.createButton(actionShowSelected), ActionUtils.createButton(actionHideSelected))); VBox paneRows = new VBox(); // Create a box to filter on some metadata text ComboBox<String> comboMetadata = new ComboBox<>(); comboMetadata.setItems(metadataNames); comboMetadata.getSelectionModel().getSelectedItem(); comboMetadata.setPromptText("Select column"); TextField tfFilter = new TextField(); CheckBox cbExact = new CheckBox("Exact"); // Set listeners cbExact.selectedProperty().addListener( (v, o, n) -> setMetadataTextPredicate(comboMetadata.getSelectionModel().getSelectedItem(), tfFilter.getText(), cbExact.isSelected(), !cbExact.isSelected())); tfFilter.textProperty().addListener( (v, o, n) -> setMetadataTextPredicate(comboMetadata.getSelectionModel().getSelectedItem(), tfFilter.getText(), cbExact.isSelected(), !cbExact.isSelected())); comboMetadata.getSelectionModel().selectedItemProperty().addListener( (v, o, n) -> setMetadataTextPredicate(comboMetadata.getSelectionModel().getSelectedItem(), tfFilter.getText(), cbExact.isSelected(), !cbExact.isSelected())); GridPane paneMetadata = new GridPane(); paneMetadata.add(comboMetadata, 0, 0); paneMetadata.add(tfFilter, 1, 0); paneMetadata.add(cbExact, 2, 0); paneMetadata.setPadding(new Insets(10, 10, 10, 10)); paneMetadata.setVgap(2); paneMetadata.setHgap(5); comboMetadata.setMaxWidth(Double.MAX_VALUE); GridPane.setHgrow(tfFilter, Priority.ALWAYS); GridPane.setFillWidth(comboMetadata, Boolean.TRUE); GridPane.setFillWidth(tfFilter, Boolean.TRUE); TitledPane tpMetadata = new TitledPane("Metadata filter", paneMetadata); tpMetadata.setExpanded(false); // tpMetadata.setCollapsible(false); Tooltip tooltipMetadata = new Tooltip( "Enter text to filter entries according to a selected metadata column"); Tooltip.install(paneMetadata, tooltipMetadata); tpMetadata.setTooltip(tooltipMetadata); paneRows.getChildren().add(tpMetadata); // Add measurement predicate TextField tfCommand = new TextField(); tfCommand.setTooltip(new Tooltip("Predicate used to filter entries for inclusion")); TextFields.bindAutoCompletion(tfCommand, e -> { int ind = tfCommand.getText().lastIndexOf("\""); if (ind < 0) return Collections.emptyList(); String part = tfCommand.getText().substring(ind + 1); return measurementNames.stream().filter(n -> n.startsWith(part)).map(n -> "\"" + n + "\" ") .collect(Collectors.toList()); }); String instructions = "Enter a predicate to filter entries.\n" + "Only entries passing the test will be included in any results.\n" + "Examples of predicates include:\n" + " \"Num Tumor\" > 200\n" + " \"Num Tumor\" > 100 && \"Num Stroma\" < 1000"; // labelInstructions.setTooltip(new Tooltip("Note: measurement names must be in \"inverted commands\" and\n" + // "&& indicates 'and', while || indicates 'or'.")); BorderPane paneMeasurementFilter = new BorderPane(tfCommand); Label label = new Label("Predicate: "); label.setAlignment(Pos.CENTER); label.setMaxHeight(Double.MAX_VALUE); paneMeasurementFilter.setLeft(label); Button btnApply = new Button("Apply"); btnApply.setOnAction(e -> { TablePredicate predicateNew = new TablePredicate(tfCommand.getText()); if (predicateNew.isValid()) { predicateMeasurements.set(predicateNew); } else { DisplayHelpers.showErrorMessage("Invalid predicate", "Current predicate '" + tfCommand.getText() + "' is invalid!"); } e.consume(); }); TitledPane tpMeasurementFilter = new TitledPane("Measurement filter", paneMeasurementFilter); tpMeasurementFilter.setExpanded(false); Tooltip tooltipInstructions = new Tooltip(instructions); tpMeasurementFilter.setTooltip(tooltipInstructions); Tooltip.install(paneMeasurementFilter, tooltipInstructions); paneMeasurementFilter.setRight(btnApply); paneRows.getChildren().add(tpMeasurementFilter); logger.info("Predicate set to: {}", predicateMeasurements.get()); VBox pane = new VBox(); // TitledPane tpColumns = new TitledPane("Select column", paneColumns); // tpColumns.setMaxHeight(Double.MAX_VALUE); // tpColumns.setCollapsible(false); pane.getChildren().addAll(paneColumns, new Separator(), paneRows); VBox.setVgrow(paneColumns, Priority.ALWAYS); return pane; }
From source file:acmi.l2.clientmod.l2smr.Controller.java
private void onException(String text, Throwable ex) { ex.printStackTrace();//w ww .j av a 2 s. co m Platform.runLater(() -> { if (SHOW_STACKTRACE) { Alert alert = new Alert(Alert.AlertType.ERROR); alert.setTitle("Error"); alert.setHeaderText(null); alert.setContentText(text); StringWriter sw = new StringWriter(); PrintWriter pw = new PrintWriter(sw); ex.printStackTrace(pw); String exceptionText = sw.toString(); Label label = new Label("Exception stacktrace:"); TextArea textArea = new TextArea(exceptionText); textArea.setEditable(false); textArea.setWrapText(true); textArea.setMaxWidth(Double.MAX_VALUE); textArea.setMaxHeight(Double.MAX_VALUE); GridPane.setVgrow(textArea, Priority.ALWAYS); GridPane.setHgrow(textArea, Priority.ALWAYS); GridPane expContent = new GridPane(); expContent.setMaxWidth(Double.MAX_VALUE); expContent.add(label, 0, 0); expContent.add(textArea, 0, 1); alert.getDialogPane().setExpandableContent(expContent); alert.showAndWait(); } else { //noinspection ThrowableResultOfMethodCallIgnored Throwable t = getTop(ex); Alert alert = new Alert(Alert.AlertType.ERROR); alert.setTitle(t.getClass().getSimpleName()); alert.setHeaderText(text); alert.setContentText(t.getMessage()); alert.showAndWait(); } }); }
From source file:UI.MainStageController.java
/** * creates the file not found alert box// w w w.j a v a 2s .c om */ private void fileNotFoundAlertBox() { fileNotFoundAlert = new Alert(Alert.AlertType.ERROR); fileNotFoundAlert.setTitle("File not found"); fileNotFoundAlert.setHeaderText("File not found"); fileNotFoundAlert.setContentText("Could not find the file you were looking for"); //style the alert DialogPane dialogPane = fileNotFoundAlert.getDialogPane(); dialogPane.getStylesheets().add("/UI/alertStyle.css"); Exception fileNotFoundException = new FileNotFoundException("Could not find your selected file"); //create expandable exception StringWriter sw = new StringWriter(); PrintWriter pw = new PrintWriter(sw); fileNotFoundException.printStackTrace(pw); String exceptionText = sw.toString(); Label label = new Label("The exception stacktrace was: "); TextArea textArea = new TextArea(exceptionText); textArea.setEditable(false); textArea.setWrapText(true); textArea.setMaxWidth(Double.MAX_VALUE); textArea.setMaxHeight(Double.MAX_VALUE); GridPane.setVgrow(textArea, Priority.ALWAYS); GridPane.setHgrow(textArea, Priority.ALWAYS); GridPane expContent = new GridPane(); expContent.setMaxWidth(Double.MAX_VALUE); expContent.add(label, 0, 0); expContent.add(textArea, 0, 1); // Set expandable Exception into the dialog pane. fileNotFoundAlert.getDialogPane().setExpandableContent(expContent); fileNotFoundAlert.showAndWait(); }