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Small sample applications to showcase the features of the chart-fx library.
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package io.fair_acc.sample.chart;
import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader;
import java.util.Objects;
import javafx.application.Application;
import javafx.scene.Node;
import javafx.scene.control.Label;
import javafx.scene.control.Spinner;
import javafx.scene.control.ToolBar;
import javafx.scene.layout.BorderPane;
import javafx.stage.Stage;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import io.fair_acc.chartfx.XYChart;
import io.fair_acc.chartfx.axes.spi.DefaultNumericAxis;
import io.fair_acc.chartfx.plugins.EditAxis;
import io.fair_acc.chartfx.plugins.Zoomer;
import io.fair_acc.chartfx.renderer.spi.MountainRangeRenderer;
import io.fair_acc.dataset.DataSet;
import io.fair_acc.dataset.GridDataSet;
import io.fair_acc.dataset.spi.AbstractDataSet;
/**
* @author rstein
*/
public class MountainRangeRendererSample extends ChartSample {
private static final Logger LOGGER = LoggerFactory.getLogger(MountainRangeRendererSample.class);
private static final String EXPECTED_NON_NULL_LINE = "expected non-null line";
@Override
public Node getChartPanel(final Stage primaryStage) {
primaryStage.setTitle(this.getClass().getSimpleName());
final DefaultNumericAxis xAxis = new DefaultNumericAxis("X Position");
final DefaultNumericAxis yAxis = new DefaultNumericAxis("Y Position");
final XYChart chart = new XYChart(xAxis, yAxis);
chart.setTitle("Test data");
final MountainRangeRenderer mountainRangeRenderer = new MountainRangeRenderer();
chart.getRenderers().set(0, mountainRangeRenderer);
// mountainRangeRenderer.getDatasets().add(readImage());
chart.getDatasets().setAll(createTestData(0.0));
// DataSet3D additionalData = createTestData(1.0);
// additionalData.setStyle("strokeColor=red");
// chart.getDatasets().add(additionalData);
chart.setLegendVisible(true);
chart.getPlugins().add(new Zoomer());
chart.getPlugins().add(new EditAxis());
final Spinner mountainRangeOffset = new Spinner<>(0.0, 10.0, mountainRangeRenderer.getMountainRangeOffset(), 0.1);
mountainRangeRenderer.mountainRangeOffsetProperty().bind(mountainRangeOffset.valueProperty());
mountainRangeOffset.valueProperty().addListener((ch, o, n) -> {
if (n.equals(o)) {
return;
}
chart.invalidate();
});
return new BorderPane(chart, new ToolBar(new Label(""), mountainRangeOffset), null, null, null);
}
protected DataSet createData() {
final double[] x = { -12, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 12 };
final double[] y = x;
final double[] z = new double[x.length * y.length];
final int i = 0;
for (final double anY : y) {
for (final double anX : x) {
z[i] = Math.sin(anY * anX);
}
}
return new DefaultData("demoDataSet", x, y, z);
}
protected DataSet createTestData(final double peakOffset) {
final int nPointsX = 2000;
final int nPointsY = 100;
final double[] x = new double[nPointsX];
final double[] y = new double[nPointsY];
for (int i = 0; i < x.length; i++) {
final double val = (i / (double) x.length - 0.5) * 10;
x[i] = val;
}
for (int i = 0; i < y.length; i++) {
final double val = (i / (double) y.length - 0.5) * 10;
y[i] = val;
}
final double[] z = new double[x.length * y.length];
int i = 0;
for (int yIndex = 0; yIndex < y.length; yIndex++) {
for (final double t : x) {
final double yRel = yIndex / (double) y.length;
final double mean1 = -3.5;
final double mean2 = -1.0;
final double mean3 = +1.0;
final double mean4 = +3.5;
final double width1 = 2 * (1 - yRel);
final double width4 = 0.2 + 0.05 * Math.sin(5 * Math.PI * yRel);
final double y1 = MountainRangeRendererSample.gaussian(t, mean1 + peakOffset, width1);
final double y2 = MountainRangeRendererSample.gaussian(t, mean2 + peakOffset + 0.3 * Math.sin(2.5 * Math.PI * yRel), 0.2);
final double y3 = MountainRangeRendererSample.gaussian(t, mean3 + peakOffset + 0.3 * Math.sin(2.5 * Math.PI * yRel), 0.2);
final double y4 = MountainRangeRendererSample.gaussian(t, mean4 + peakOffset, width4);
z[i++] = y1 + y2 + y3 + y4;
}
}
return new DefaultData("demoDataSet", x, y, z);
}
protected DataSet readImage() {
try (final BufferedReader reader = new BufferedReader(new InputStreamReader(Objects.requireNonNull(ContourChartSample.class.getResourceAsStream("testdata/image.txt"))))) {
@SuppressWarnings("unused")
String skipLine; // NOPMD variable is needed to skip/check line that contains the dimension of the following
// line to be read which we derive from the data itself
if ((skipLine = reader.readLine()) == null) {
throw new IllegalStateException(EXPECTED_NON_NULL_LINE);
}
final String[] x = reader.readLine().split(" ");
if ((skipLine = reader.readLine()) == null) {
throw new IllegalStateException(EXPECTED_NON_NULL_LINE);
}
final String[] y = reader.readLine().split(" ");
if ((skipLine = reader.readLine()) == null) {
throw new IllegalStateException(EXPECTED_NON_NULL_LINE);
}
final String[] z = reader.readLine().split(" ");
final double[] xValues = MountainRangeRendererSample.toDouble(x);
final double[] yValues = MountainRangeRendererSample.toDouble(y);
final double[] zValues = new double[x.length * y.length];
int i = 0;
for (int yIdx = 0; yIdx < y.length; yIdx++) {
for (int xIdx = 0; xIdx < x.length; xIdx++) {
zValues[i] = Double.parseDouble(z[i++]);
}
}
return new DefaultData("contour data", xValues, yValues, zValues);
} catch (final IOException | NullPointerException e) {
if (LOGGER.isErrorEnabled()) {
LOGGER.atError().setCause(e).log("error reading dataset");
}
}
return null;
}
/**
* @param args the command line arguments
*/
public static void main(final String[] args) {
Application.launch(args);
}
private static double gaussian(final double x, final double mean, final double sigma) {
final double norm = 1 / (sigma * Math.sqrt(2 * Math.PI));
final double is = 1 / sigma;
final double i2s2 = 0.5 * is * is;
final double xMinusMean = x - mean;
return norm * Math.exp(-xMinusMean * xMinusMean * i2s2);
}
private static double[] toDouble(final String[] stringValues) {
final double[] numberValues = new double[stringValues.length];
for (int i = 0; i < stringValues.length; i++) {
numberValues[i] = Double.parseDouble(stringValues[i]);
}
return numberValues;
}
public static class DefaultData extends AbstractDataSet implements GridDataSet {
private static final long serialVersionUID = 2094218221674496366L;
private final double[] xValues;
private final double[] yValues;
private final double[] zValues;
DefaultData(final String name, final double[] xValues, final double[] yValues, final double[] zValues) {
super(name, 3);
this.xValues = xValues;
this.yValues = yValues;
this.zValues = zValues;
}
@Override
public final double get(final int dimIndex, final int index) {
switch (dimIndex) {
case DataSet.DIM_X:
return xValues[index % xValues.length];
case DataSet.DIM_Y:
return yValues[index / xValues.length];
case DataSet.DIM_Z:
return zValues[index];
default:
throw new IllegalArgumentException("dimIndex " + dimIndex + " not defined");
}
}
@Override
public int[] getShape() {
return new int[] { xValues.length, yValues.length };
}
@Override
public int getDataCount() {
return xValues.length * yValues.length;
}
@Override
public String getStyle(final int index) {
return null;
}
@Override
public double getValue(int dimIndex, double... x) {
return 0;
}
@Override
public DataSet set(final DataSet other, final boolean copy) {
throw new UnsupportedOperationException("Copy setter not implemented");
}
@Override
public double getGrid(int dimIndex, int index) {
switch (dimIndex) {
case DataSet.DIM_X:
return xValues[index];
case DataSet.DIM_Y:
return yValues[index];
default:
throw new IndexOutOfBoundsException("Dim index out of bounds 2 for 2d grid");
}
}
@Override
public int getGridIndex(final int dimIndex, final double x) {
if (dimIndex >= getNGrid()) {
throw new IndexOutOfBoundsException("dim index out of bounds");
}
if (getShape(dimIndex) == 0) {
return 0;
}
if (!Double.isFinite(x)) {
return 0;
}
if (x <= this.getAxisDescription(dimIndex).getMin()) {
return 0;
}
final int lastIndex = getShape(dimIndex) - 1;
if (x >= this.getAxisDescription(dimIndex).getMax()) {
return lastIndex;
}
// binary closest search -- assumes sorted data set
return binarySearch(x, 0, lastIndex, i -> getGrid(dimIndex, i));
}
@Override
public double get(int dimIndex, int... indices) {
switch (dimIndex) {
case DataSet.DIM_X:
return xValues[indices[DataSet.DIM_X]];
case DataSet.DIM_Y:
return yValues[indices[DataSet.DIM_Y]];
case DataSet.DIM_Z:
return zValues[indices[DataSet.DIM_X] + xValues.length * indices[DataSet.DIM_Y]];
default:
throw new IndexOutOfBoundsException("Dim index out of bounds 3 for 2d grid");
}
}
}
}