Java XYChart.addSeries方法代码示例

import org.knowm.xchart.XYChart; //导入方法依赖的package包/类
public static void show(String chartTitle, NumericColumn xColumn, NumericColumn yColumn, ViewGroup group) {
    XYChart chart = new XYChart(DEFAULT_WIDTH, DEFAULT_HEIGHT);
    chart.setTitle(chartTitle);
    chart.setXAxisTitle(xColumn.name());
    chart.setYAxisTitle(yColumn.name());
    chart.getStyler().setTheme(new TablesawTheme());

    chart.getStyler().setMarkerSize(5);

    chart.getStyler().setDefaultSeriesRenderStyle(XYSeries.XYSeriesRenderStyle.Scatter);

    for (TemporaryView view : group) {
        double[] xData = view.numericColumn(xColumn.name()).toDoubleArray();
        double[] yData = view.numericColumn(yColumn.name()).toDoubleArray();

        chart.addSeries(view.name(), Arrays.copyOf(xData, xData.length), Arrays.copyOf(yData, yData.length));
    }
    new SwingWrapper<>(chart).displayChart(WINDOW_TITLE);
}
 

import org.knowm.xchart.XYChart; //导入方法依赖的package包/类
private void plot99(List<Double> xData, List<Double> yData) throws IOException {
    XYChart chart = buildCommonChart();

    /*
     * This shows only the > 90 percentile, so set te minimum
     * accordingly.
     */

    chart.getStyler().setXAxisMin(99.0);

    // Series
    XYSeries series = chart.addSeries(chartProperties.getSeriesName(), xData, yData);

    series.setLineColor(XChartSeriesColors.BLUE);
    series.setMarkerColor(Color.LIGHT_GRAY);
    series.setMarker(SeriesMarkers.NONE);
    series.setLineStyle(SeriesLines.SOLID);

    BitmapEncoder.saveBitmap(chart, baseName + "_99.png", BitmapEncoder.BitmapFormat.PNG);
}
 

import org.knowm.xchart.XYChart; //导入方法依赖的package包/类
private void plot90(List<Double> xData, List<Double> yData) throws IOException {
    XYChart chart = buildCommonChart();

    /*
     * This shows only the > 90 percentile, so set te minimum
     * accordingly.
     */

    chart.getStyler().setXAxisMin(90.0);

    // Series
    XYSeries series = chart.addSeries(chartProperties.getSeriesName(), xData, yData);

    series.setLineColor(XChartSeriesColors.BLUE);
    series.setMarkerColor(Color.LIGHT_GRAY);
    series.setMarker(SeriesMarkers.NONE);
    series.setLineStyle(SeriesLines.SOLID);

    BitmapEncoder.saveBitmap(chart, baseName + "_90.png", BitmapEncoder.BitmapFormat.PNG);
}
 

import org.knowm.xchart.XYChart; //导入方法依赖的package包/类
private void plotAll(List<Double> xData, List<Double> yData) throws IOException {

        // Create Chart
        XYChart chart = buildCommonChart();


         /*
         * This shows almost everything so set te minimum
         * accordingly.
         */
        chart.getStyler().setXAxisMin(5.0);

        // Series
        XYSeries series = chart.addSeries(chartProperties.getSeriesName(), xData, yData);

        series.setLineColor(XChartSeriesColors.BLUE);
        series.setMarkerColor(Color.LIGHT_GRAY);
        series.setMarker(SeriesMarkers.NONE);
        series.setLineStyle(SeriesLines.SOLID);

        BitmapEncoder.saveBitmap(chart, baseName + "_all.png", BitmapEncoder.BitmapFormat.PNG);
    }
 

import org.knowm.xchart.XYChart; //导入方法依赖的package包/类
/**
 * Plot a time series, connecting the observation times to the measurements.
 *
 * @param timeSeries the series to plot.
 * @param title      the title of the plot.
 * @param seriesName the name of the series to display.
 */
public static void plot(final TimeSeries timeSeries, final String title, final String seriesName) {
    Thread plotThread = new Thread(() -> {
        final List<Date> xAxis = new ArrayList<>(timeSeries.observationTimes().size());
        for (OffsetDateTime dateTime : timeSeries.observationTimes()) {
            xAxis.add(Date.from(dateTime.toInstant()));
        }
        List<Double> seriesList = Doubles.asList(round(timeSeries.asArray(), 2));
        final XYChart chart = new XYChartBuilder().theme(Styler.ChartTheme.GGPlot2)
                                                  .height(600)
                                                  .width(800)
                                                  .title(title)
                                                  .build();
        XYSeries residualSeries = chart.addSeries(seriesName, xAxis, seriesList);
        residualSeries.setXYSeriesRenderStyle(XYSeries.XYSeriesRenderStyle.Scatter);
        residualSeries.setMarker(new Circle()).setMarkerColor(Color.RED);

        JPanel panel = new XChartPanel<>(chart);
        JFrame frame = new JFrame(title);
        frame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);
        frame.add(panel);
        frame.pack();
        frame.setVisible(true);
    });
    plotThread.start();
}
 

import org.knowm.xchart.XYChart; //导入方法依赖的package包/类
public static void show(String chartTitle, NumericColumn xColumn, NumericColumn yColumn, ViewGroup group) {
    XYChart chart = new XYChart(DEFAULT_WIDTH, DEFAULT_HEIGHT);
    chart.setTitle(chartTitle);
    chart.setXAxisTitle(xColumn.name());
    chart.setYAxisTitle(yColumn.name());
    chart.getStyler().setTheme(new TablesawTheme());

    chart.getStyler().setMarkerSize(5);

    chart.getStyler().setDefaultSeriesRenderStyle(XYSeries.XYSeriesRenderStyle.Scatter);

    for (TemporaryView view : group) {
        double[] xData = view.numericColumn(xColumn.name()).toDoubleArray();
        double[] yData = view.numericColumn(yColumn.name()).toDoubleArray();
        chart.addSeries(view.name(), Arrays.copyOf(xData, xData.length), Arrays.copyOf(yData, yData.length));
    }
    new SwingWrapper<>(chart).displayChart(WINDOW_TITLE);
}
 

import org.knowm.xchart.XYChart; //导入方法依赖的package包/类
public static void main(String[] args) {
	XYChart chart = new XYChartBuilder().width(800).height(600).build();

	// Customize Chart
	chart.getStyler().setDefaultSeriesRenderStyle(XYSeries.XYSeriesRenderStyle.Scatter);
	chart.getStyler().setChartTitleVisible(false);
	chart.getStyler().setLegendPosition(Styler.LegendPosition.InsideSW);
	chart.getStyler().setXAxisMax(5.0);
	chart.getStyler().setXAxisMin(-5.0);
	chart.getStyler().setYAxisMax(5.0);
	chart.getStyler().setYAxisMin(-5.0);
	chart.getStyler().setMarkerSize(2);

	// Series
	double[] xData = normal(0, 1, 1000);
	double[] yData = normal(0, 1, 1000);
	chart.addSeries("Gaussian Blob", xData, yData);
	new SwingWrapper<>(chart).displayChart();
}
 

import org.knowm.xchart.XYChart; //导入方法依赖的package包/类
public void addIndicatorChart(String indicator) {
    XYChart indicatorChart = new XYChartBuilder().xAxisTitle("n").yAxisTitle(indicator).build();
    indicatorChart.getStyler().setDefaultSeriesRenderStyle(XYSeriesRenderStyle.Scatter).setMarkerSize(5);

    List<Integer> indicatorIterations = new ArrayList<Integer>();
    indicatorIterations.add(0);
    List<Double> indicatorValues = new ArrayList<Double>();
    indicatorValues.add(0.0);

    XYSeries indicatorSeries = indicatorChart.addSeries(this.name, indicatorIterations, indicatorValues);
    indicatorSeries.setMarkerColor(Color.blue);

    this.iterations.put(indicator, indicatorIterations);
    this.indicatorValues.put(indicator, indicatorValues);
    this.charts.put(indicator, indicatorChart);
}
 

import org.knowm.xchart.XYChart; //导入方法依赖的package包/类
public static void main(String[] args) {
       int row=0;
        CSVReader fileReader = new CSVReader();
        try {
            fileReader.read(plotChanelArray);
        } catch (FileNotFoundException e) {
            e.printStackTrace();
        }

        int numCharts = 4;

        List<XYChart> charts = new ArrayList<XYChart>();
double[] array = new double[22000];

        for (int i=0;i<21000;i++){
            array[i]=plotChanelArray[i][0];
        }




        for (int i = 0; i < numCharts; i++) {
            XYChart chart = new XYChartBuilder().xAxisTitle("X").yAxisTitle("Y").width(600).height(400).build();
            //chart.getStyler().setYAxisMin((double) -10);
           // chart.getStyler().setYAxisMax((double) 10);

            //XYSeries series = chart.addSeries("" + i, null, getRandomWalk(200));
            XYSeries series = chart.addSeries("" + i, null, array);

            series.setMarker(SeriesMarkers.NONE);
            charts.add(chart);
        }
        new SwingWrapper<XYChart>(charts).displayChartMatrix();
        //new ZoomManager(charts);
        final StackPane pane = new StackPane();
        pane.getChildren().add((Node) charts);
        final Scene scene = new Scene(pane, 500, 400);

    }
 

import org.knowm.xchart.XYChart; //导入方法依赖的package包/类
private void AveragePlannedFeaturesTest()
{
    NextReleaseProblem base = random.all(7, 20, 5, 4, 40.0);
    SolverNRP solver = new SolverNRP(SolverNRP.AlgorithmType.NSGAII);

    List<Integer> iterations = new ArrayList<>();
    List<Integer> nbPlannedFeatures = new ArrayList<>();

    int totalPlannedFeatures = 0;
    int nbIterations = 20;
    for (int i = 0; i < nbIterations; ++i) {

        NextReleaseProblem problem = new NextReleaseProblem(base);
        PlanningSolution solution = execute(problem, solver);

        iterations.add(i+1);
        nbPlannedFeatures.add(solution.getPlannedFeatures().size());

        totalPlannedFeatures += solution.getPlannedFeatures().size();
    }
    String title = String.format("Algorithm: %s. Test set: %s", solver.getAlgorithmType().getName(), "Random");
    XYChart chart = new XYChartBuilder().width(1024).height(512).title(title)
            .xAxisTitle("Iteration").yAxisTitle("Number of features planned").build();
    chart.addSeries("Number of planned features", iterations, nbPlannedFeatures);

    List<Double> average = new ArrayList<>();
    for (int i = 0; i < nbIterations; ++i)
        average.add((double) totalPlannedFeatures/nbIterations);

    chart.addSeries("Average planned features", iterations, average);
    chart.getStyler().setXAxisMin(0.0).setYAxisMin(0.0)
            .setXAxisMax((double) iterations.size()).setYAxisMax((double) base.getFeatures().size());

    saveChart(chart, String.format("AveragePlannedFeatures_%s_%s", algorithmName(solver), timestamp()));
}
 

import org.knowm.xchart.XYChart; //导入方法依赖的package包/类
public void populationSizeTest() {
    for (int k = 0; k < 5; ++k) {
        NextReleaseProblem base = random.all(7, 20, 5, 4, 40.0);
        SolverNRP solver = new SolverNRP(SolverNRP.AlgorithmType.NSGAII);

        List<Integer> populationSize = new ArrayList<>();
        List<Double> executionTime = new ArrayList<>();
        List<Integer> plannedFeatures = new ArrayList<>();
        for (int i = 0; i < 15; ++i) {
            AlgorithmParameters params = new AlgorithmParameters(SolverNRP.AlgorithmType.NSGAII);
            params.setPopulationSize(params.getPopulationSize() + ++i * 10);

            NextReleaseProblem problem = new NextReleaseProblem(base);
            problem.setAlgorithmParameters(params);

            long start = System.currentTimeMillis();
            PlanningSolution solution = execute(problem, solver);
            long elapsed = System.currentTimeMillis() - start;

            populationSize.add(params.getPopulationSize());
            executionTime.add(elapsed / 1000.0);
            plannedFeatures.add(solution.size());
        }

        XYChart chart = new XYChartBuilder().width(1024).height(512).title("Population/Performance chart")
                .xAxisTitle("Population size").build();
        chart.addSeries("Execution time (seconds)", populationSize, executionTime);
        chart.addSeries("Number of planned features", populationSize, plannedFeatures);

        saveChart(chart, String.format("PopulationSizeTest_%s_%s", algorithmName(solver), timestamp()));
    }
}
 

import org.knowm.xchart.XYChart; //导入方法依赖的package包/类
@Override
public void afterReportInit() throws JRScriptletException 
{
	try 
	{
	    XYChart xyChart = new XYChartBuilder()
	    		.width(515)
	    		.height(400)
	    		.title("Fruits Order")
	    		.xAxisTitle("Day of Week")
	    		.yAxisTitle("Quantity (t)")
	    		.build();

	    xyChart.addSeries("Apples", new double[] { 1, 3, 5}, new double[] {4, 10, 7});
	    xyChart.addSeries("Bananas", new double[] { 1, 2, 3, 4, 5}, new double[] {6, 8, 4, 4, 6});
	    xyChart.addSeries("Cherries", new double[] { 1, 3, 4, 5}, new double[] {2, 6, 1, 9});
	    XYStyler styler = xyChart.getStyler();
	    styler.setLegendPosition(Styler.LegendPosition.InsideNW);
	    styler.setAxisTitlesVisible(true);
	    styler.setDefaultSeriesRenderStyle(XYSeries.XYSeriesRenderStyle.Area);
	    styler.setChartBackgroundColor(Color.WHITE);
	   
		BufferedImage bufferedImage = BitmapEncoder.getBufferedImage(xyChart);
		super.setVariableValue("ChartImage", bufferedImage);
	}
	catch(Exception e) 
	{
		throw new JRScriptletException(e);
	}
}
 

import org.knowm.xchart.XYChart; //导入方法依赖的package包/类
public static void show(String chartTitle, double[] xData, NumericColumn yColumn, int width, int height) {
    double[] yData = yColumn.toDoubleArray();

    // Create Chart
    XYChart chart = new XYChart(width, height);
    chart.setTitle(chartTitle);
    chart.setYAxisTitle(yColumn.name());
    chart.getStyler().setTheme(new TablesawTheme());
    chart.getStyler().setMarkerSize(2);
    chart.getStyler().setDefaultSeriesRenderStyle(XYSeries.XYSeriesRenderStyle.Scatter);

    XYSeries series = chart.addSeries("Ranked: " + yColumn.name(), xData, yData);
    series.setMarker(SeriesMarkers.CIRCLE);
    new SwingWrapper<>(chart).displayChart(WINDOW_TITLE);
}
 

import org.knowm.xchart.XYChart; //导入方法依赖的package包/类
protected void copy(JRPrintImage image)
{
	dataset.finishDataset();
	
	JRComponentElement element = fillContext.getComponentElement();
	
    XYChart xyChart = new XYChartBuilder()
    		.width(element.getWidth())
    		.height(element.getHeight())
    		.title(chartTitle == null ? "" : chartTitle)
    		.xAxisTitle(xAxisTitle == null ? "" : xAxisTitle)
    		.yAxisTitle(yAxisTitle == null ? "" : yAxisTitle)
    		.build();
    XYStyler styler = xyChart.getStyler();
    styler.setLegendPosition(Styler.LegendPosition.InsideNE);
    styler.setAxisTitlesVisible(true);
    styler.setDefaultSeriesRenderStyle(XYSeries.XYSeriesRenderStyle.Area);
    styler.setChartBackgroundColor(element.getBackcolor() == null ? Color.WHITE : element.getBackcolor());
    
    List<Comparable<?>> xySeriesNames = dataset.getXYSeriesNames();
	Map<Comparable<?>, XYSeriesData> xySeriesMap = dataset.getXYSeriesMap();
	if(xySeriesMap != null && !xySeriesMap.isEmpty())
	{
		int i = 0;
		for(Comparable<?> name : xySeriesNames)
		{
			XYSeriesData data = xySeriesMap.get(name);
			org.knowm.xchart.XYSeries series = xyChart.addSeries(name.toString(), data.getXData(), data.getYData());
			Color color = data.getColor();
			if(color != null)
			{
				series.setLineColor(color);
				styler.getSeriesColors()[i] = color;
				//series.setFillColor(color);
			}
			i++;
		}
	}
	try
	{
		BufferedImage img = BitmapEncoder.getBufferedImage(xyChart);
		Renderable renderable = RendererUtil
				.getInstance(fillContext.getFiller().getJasperReportsContext())
				.getRenderable(img, ImageTypeEnum.PNG, OnErrorTypeEnum.ERROR);
		image.setRenderer(renderable);
	}
	catch(Exception e)
	{
		throw new JRRuntimeException(e);
	}
}
 

import org.knowm.xchart.XYChart; //导入方法依赖的package包/类
/**
 * Plot the sample autocorrelations of the given time series up to the given lag.
 *
 * @param timeSeries the series to plot.
 * @param k the maximum lag to include in the acf plot.
 */
public static void plotAcf(TimeSeries timeSeries, final int k) {
    final double[] acf = timeSeries.autoCorrelationUpToLag(k);
    final double[] lags = new double[k + 1];
    for (int i = 1; i < lags.length; i++) {
        lags[i] = i;
    }
    final double upper = (-1 / timeSeries.size()) + (2 / Math.sqrt(timeSeries.size()));
    final double lower = (-1 / timeSeries.size()) - (2 / Math.sqrt(timeSeries.size()));
    final double[] upperLine = new double[lags.length];
    final double[] lowerLine = new double[lags.length];
    for (int i = 0; i < lags.length; i++) {
        upperLine[i] = upper;
    }
    for (int i = 0; i < lags.length; i++) {
        lowerLine[i] = lower;
    }

    Thread plotThread = new Thread(() -> {
        XYChart chart = new XYChartBuilder().theme(Styler.ChartTheme.GGPlot2)
                                            .height(800)
                                            .width(1200)
                                            .title("Autocorrelations By Lag")
                                            .build();
        XYSeries series = chart.addSeries("Autocorrelation", lags, acf);
        XYSeries series2 = chart.addSeries("Upper Bound", lags, upperLine);
        XYSeries series3 = chart.addSeries("Lower Bound", lags, lowerLine);
        chart.getStyler()
             .setChartFontColor(Color.BLACK)
             .setSeriesColors(new Color[]{Color.BLACK, Color.BLUE, Color.BLUE});

        series.setXYSeriesRenderStyle(XYSeries.XYSeriesRenderStyle.Scatter);
        series2.setXYSeriesRenderStyle(XYSeries.XYSeriesRenderStyle.Line)
               .setMarker(SeriesMarkers.NONE)
               .setLineStyle(SeriesLines.DASH_DASH);
        series3.setXYSeriesRenderStyle(XYSeries.XYSeriesRenderStyle.Line)
               .setMarker(SeriesMarkers.NONE)
               .setLineStyle(SeriesLines.DASH_DASH);
        JPanel panel = new XChartPanel<>(chart);
        JFrame frame = new JFrame("Autocorrelation by Lag");
        frame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);
        frame.add(panel);
        frame.pack();
        frame.setVisible(true);
    });
    plotThread.start();
}