Welcome to the fascinating world of ChartFx! ChartFx is a powerful scientific charting library developed by GSI that focuses on high-performance real-time data visualization. Designed for scientists and developers, it can efficiently handle large datasets in digital signal processing applications. In this article, we will guide you through the steps to incorporate ChartFx into your project, provide example usage, and troubleshoot common issues.

Why Choose ChartFx?

ChartFx is a rewrite of JavaFX’s default Chart implementation, aiming to improve performance and address API issues. It features a rich variety of functionalities perfect for scientific applications, offering flexible plugin systems and online parameter measurements to enhance the user experience and data analytics.

Getting Started: Adding ChartFx to Your Project

To get ChartFx up and running in your project, you have a couple of options depending on your build system.

Using Maven

• Add the following dependency to your pom.xml file:

    
        io.fair-acc
        chartfx
        11.3.1
    

• For Maven Central, you can refer to snippet examples if you wish to explore different versions.

Using Gradle

• Add this line to your build.gradle file:

implementation 'io.fair-acc:chartfx:11.3.1'

Example Usage: Creating a Simple Chart

Let’s illustrate how to create a basic example using ChartFx. Think of this as setting up the foundation of a beautiful house—you need a solid framework before you begin decorating!

Sample Code

Here’s a minimal working example:

package com.example.chartfx;
import io.fair_acc.chartfx.XYChart;
import io.fair_acc.chartfx.axes.spi.DefaultNumericAxis;
import io.fair_acc.dataset.spi.DoubleDataSet;
import javafx.application.Application;
import javafx.scene.Scene;
import javafx.scene.layout.StackPane;
import javafx.stage.Stage;

public class SimpleChartSample extends Application {
    private static final int N_SAMPLES = 100;

    @Override
    public void start(final Stage primaryStage) {
        final StackPane root = new StackPane();
        final XYChart chart = new XYChart(new DefaultNumericAxis(), new DefaultNumericAxis());
        root.getChildren().add(chart);
        
        final DoubleDataSet dataSet1 = new DoubleDataSet("data set #1");
        final DoubleDataSet dataSet2 = new DoubleDataSet("data set #2");

        chart.getDatasets().addAll(dataSet1, dataSet2);
        
        final double[] xValues = new double[N_SAMPLES];
        final double[] yValues1 = new double[N_SAMPLES];
        final double[] yValues2 = new double[N_SAMPLES];

        for (int n = 0; n < N_SAMPLES; n++) {
            xValues[n] = n;
            yValues1[n] = Math.cos(Math.toRadians(10.0 * n));
            yValues2[n] = Math.sin(Math.toRadians(10.0 * n));
        }

        dataSet1.set(xValues, yValues1);
        dataSet2.set(xValues, yValues2);
        
        final Scene scene = new Scene(root, 800, 600);
        primaryStage.setScene(scene);
        primaryStage.show();
    }

    public static void main(final String[] args) {
        Application.launch(args);
    }
}

This example demonstrates creating a simple XY chart with cosine and sine datasets. By replacing the x-values and y-values, you can visualize different datasets seamlessly.

Troubleshooting

• In case of issues with JavaFX runtime, ensure that all necessary JVM command line options are properly set. Refer to the ControlsFX wiki for module accessibility resources.
• If you encounter accessibility issues while accessing modules when launching your application, check that you've added JavaFX-related JVM flags as described in the respective sections of this guide.
• For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Wrapping Up

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

With ChartFx at your disposal, you can create stunning, high-performance scientific visualizations. Happy charting!