Examples with GridLayout java.awt.GridLayout used on opensource projects

Example 6 with GridLayout

use of java.awt.GridLayout in project java-design-patterns by iluwatar.

the class Client method setup.

private void setup() {
    setLayout(new BorderLayout());
    JPanel panel = new JPanel();
    add(jl, BorderLayout.SOUTH);
    add(panel, BorderLayout.CENTER);
    panel.setLayout(new GridLayout(6, 2));
    panel.add(new JLabel("Name"));
    panel.add(jtFields[0]);
    panel.add(new JLabel("Contact Number"));
    panel.add(jtFields[1]);
    panel.add(new JLabel("Address"));
    panel.add(jtAreas[0]);
    panel.add(new JLabel("Deposit Number"));
    panel.add(jtFields[2]);
    panel.add(new JLabel("Order"));
    panel.add(jtAreas[1]);
    panel.add(clearButton);
    panel.add(processButton);
    clearButton.addActionListener(new ActionListener() {

        @Override
        public void actionPerformed(ActionEvent e) {
            for (JTextArea i : jtAreas) {
                i.setText("");
            }
            for (JTextField i : jtFields) {
                i.setText("");
            }
        }
    });
    processButton.addActionListener(new ActionListener() {

        @Override
        public void actionPerformed(ActionEvent e) {
            Order order = new Order(jtFields[0].getText(), jtFields[1].getText(), jtAreas[0].getText(), jtFields[2].getText(), jtAreas[1].getText());
            jl.setText(sendRequest(order));
        }
    });
    JRootPane rootPane = SwingUtilities.getRootPane(processButton);
    rootPane.setDefaultButton(processButton);
    setVisible(true);
}

Example 7 with GridLayout

use of java.awt.GridLayout in project smile by haifengl.

the class SOMDemo method learn.

@Override
public JComponent learn() {
    try {
        width = Integer.parseInt(widthField.getText().trim());
        if (width < 1) {
            JOptionPane.showMessageDialog(this, "Invalid width: " + width, "Error", JOptionPane.ERROR_MESSAGE);
            return null;
        }
    } catch (Exception e) {
        JOptionPane.showMessageDialog(this, "Invalid width: " + widthField.getText(), "Error", JOptionPane.ERROR_MESSAGE);
        return null;
    }
    try {
        height = Integer.parseInt(heightField.getText().trim());
        if (height < 1) {
            JOptionPane.showMessageDialog(this, "Invalid height: " + height, "Error", JOptionPane.ERROR_MESSAGE);
            return null;
        }
    } catch (Exception e) {
        JOptionPane.showMessageDialog(this, "Invalid height: " + heightField.getText(), "Error", JOptionPane.ERROR_MESSAGE);
        return null;
    }
    long clock = System.currentTimeMillis();
    SOM som = new SOM(dataset[datasetIndex], width, height);
    System.out.format("SOM clusterings %d samples in %dms\n", dataset[datasetIndex].length, System.currentTimeMillis() - clock);
    JPanel pane = new JPanel(new GridLayout(2, 3));
    PlotCanvas plot = ScatterPlot.plot(dataset[datasetIndex], pointLegend);
    plot.grid(som.map());
    plot.setTitle("SOM Grid");
    pane.add(plot);
    int[] membership = som.partition(clusterNumber);
    int[] clusterSize = new int[clusterNumber];
    for (int i = 0; i < membership.length; i++) {
        clusterSize[membership[i]]++;
    }
    plot = ScatterPlot.plot(dataset[datasetIndex], pointLegend);
    plot.setTitle("Hierarchical Clustering");
    for (int k = 0; k < clusterNumber; k++) {
        double[][] cluster = new double[clusterSize[k]][];
        for (int i = 0, j = 0; i < dataset[datasetIndex].length; i++) {
            if (membership[i] == k) {
                cluster[j++] = dataset[datasetIndex][i];
            }
        }
        plot.points(cluster, pointLegend, Palette.COLORS[k % Palette.COLORS.length]);
    }
    pane.add(plot);
    double[][] umatrix = som.umatrix();
    double[] umatrix1 = new double[umatrix.length * umatrix[0].length];
    for (int i = 0, k = 0; i < umatrix.length; i++) {
        for (int j = 0; j < umatrix[i].length; j++, k++) umatrix1[k] = umatrix[i][j];
    }
    plot = Histogram.plot(null, umatrix1, 20);
    plot.setTitle("U-Matrix Histogram");
    pane.add(plot);
    GaussianMixture mixture = new GaussianMixture(umatrix1);
    double w = (Math.max(umatrix1) - Math.min(umatrix1)) / 24;
    double[][] p = new double[50][2];
    for (int i = 0; i < p.length; i++) {
        p[i][0] = Math.min(umatrix1) + i * w;
        p[i][1] = mixture.p(p[i][0]) * w;
    }
    plot.line(p, Color.RED);
    plot = Hexmap.plot(umatrix, Palette.jet(256));
    plot.setTitle("U-Matrix");
    pane.add(plot);
    /*
        double[][] x = new double[height][width];
        for (int i = 0; i < height; i++) {
            for (int j = 0; j < width; j++) {
                x[i][j] = som.getMap()[i][j][0];
            }
        }
        plot = PlotCanvas.hexmap(x, Palette.jet(256));
        plot.setTitle("X");
        pane.add(plot);

        double[][] y = new double[height][width];
        for (int i = 0; i < height; i++) {
            for (int j = 0; j < width; j++) {
                y[i][j] = som.getMap()[i][j][1];
            }
        }
        plot = PlotCanvas.hexmap(y, Palette.jet(256));
        plot.setTitle("Y");
        pane.add(plot);
*/
    return pane;
}

Example 8 with GridLayout

use of java.awt.GridLayout in project smile by haifengl.

the class PlotPanel method organize.

/**
     * Reorganize the plots in the frame. Basically, it reset the surface layout
     * based on the number of plots in the frame.
     */
private void organize() {
    int m = (int) Math.sqrt(contentPane.getComponentCount());
    if (m <= 0)
        m = 1;
    contentPane.setLayout(new GridLayout(m, 0, 0, 0));
}

Example 9 with GridLayout

use of java.awt.GridLayout in project smile by haifengl.

the class PCADemo method learn.

@Override
public JComponent learn() {
    double[][] data = dataset[datasetIndex].toArray(new double[dataset[datasetIndex].size()][]);
    String[] names = dataset[datasetIndex].toArray(new String[dataset[datasetIndex].size()]);
    if (names[0] == null) {
        names = null;
    }
    boolean cor = corBox.getSelectedIndex() != 0;
    long clock = System.currentTimeMillis();
    PCA pca = new PCA(data, cor);
    System.out.format("Learn PCA from %d samples in %dms\n", data.length, System.currentTimeMillis() - clock);
    JPanel pane = new JPanel(new GridLayout(1, 2));
    PlotCanvas scree = PlotCanvas.screeplot(pca);
    scree.setTitle("Variance");
    pane.add(scree);
    pca.setProjection(3);
    double[][] y = pca.project(data);
    PlotCanvas plot = new PlotCanvas(Math.colMin(y), Math.colMax(y));
    if (names != null) {
        plot.points(y, names);
    } else if (dataset[datasetIndex].response() != null) {
        int[] labels = dataset[datasetIndex].toArray(new int[dataset[datasetIndex].size()]);
        for (int i = 0; i < y.length; i++) {
            plot.point(pointLegend, Palette.COLORS[labels[i]], y[i]);
        }
    } else {
        plot.points(y, pointLegend);
    }
    plot.setTitle("Scatter Plot");
    pane.add(plot);
    return pane;
}

Example 10 with GridLayout

use of java.awt.GridLayout in project smile by haifengl.

the class PPCADemo method learn.

@Override
public JComponent learn() {
    JPanel pane = new JPanel(new GridLayout(2, 2));
    double[][] data = dataset[datasetIndex].toArray(new double[dataset[datasetIndex].size()][]);
    String[] names = dataset[datasetIndex].toArray(new String[dataset[datasetIndex].size()]);
    if (names[0] == null) {
        names = null;
    }
    long clock = System.currentTimeMillis();
    PCA pca = new PCA(data, true);
    System.out.format("Learn PCA from %d samples in %dms\n", data.length, System.currentTimeMillis() - clock);
    pca.setProjection(2);
    double[][] y = pca.project(data);
    PlotCanvas plot = new PlotCanvas(Math.colMin(y), Math.colMax(y));
    if (names != null) {
        plot.points(y, names);
    } else if (dataset[datasetIndex].response() != null) {
        int[] labels = dataset[datasetIndex].toArray(new int[dataset[datasetIndex].size()]);
        for (int i = 0; i < y.length; i++) {
            plot.point(pointLegend, Palette.COLORS[labels[i]], y[i]);
        }
    } else {
        plot.points(y, pointLegend);
    }
    plot.setTitle("PCA");
    pane.add(plot);
    pca.setProjection(3);
    y = pca.project(data);
    plot = new PlotCanvas(Math.colMin(y), Math.colMax(y));
    if (names != null) {
        plot.points(y, names);
    } else if (dataset[datasetIndex].response() != null) {
        int[] labels = dataset[datasetIndex].toArray(new int[dataset[datasetIndex].size()]);
        for (int i = 0; i < y.length; i++) {
            plot.point(pointLegend, Palette.COLORS[labels[i]], y[i]);
        }
    } else {
        plot.points(y, pointLegend);
    }
    plot.setTitle("PCA");
    pane.add(plot);
    PPCA ppca = new PPCA(data, 2);
    y = ppca.project(data);
    plot = new PlotCanvas(Math.colMin(y), Math.colMax(y));
    if (names != null) {
        plot.points(y, names);
    } else if (dataset[datasetIndex].response() != null) {
        int[] labels = dataset[datasetIndex].toArray(new int[dataset[datasetIndex].size()]);
        for (int i = 0; i < y.length; i++) {
            plot.point(pointLegend, Palette.COLORS[labels[i]], y[i]);
        }
    } else {
        plot.points(y, pointLegend);
    }
    plot.setTitle("PPCA");
    pane.add(plot);
    clock = System.currentTimeMillis();
    ppca = new PPCA(data, 3);
    System.out.format("Learn PPCA from %d samples in %dms\n", data.length, System.currentTimeMillis() - clock);
    y = ppca.project(data);
    plot = new PlotCanvas(Math.colMin(y), Math.colMax(y));
    if (names != null) {
        plot.points(y, names);
    } else if (dataset[datasetIndex].response() != null) {
        int[] labels = dataset[datasetIndex].toArray(new int[dataset[datasetIndex].size()]);
        for (int i = 0; i < y.length; i++) {
            plot.point(pointLegend, Palette.COLORS[labels[i]], y[i]);
        }
    } else {
        plot.points(y, pointLegend);
    }
    plot.setTitle("PPCA");
    pane.add(plot);
    return pane;
}