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## [](http://knowm.org/open-source/xchart) XChart
XChart is a light-weight and convenient library for plotting data designed to go from data to chart in the least amount of time possible and to take the guess-work out of customizing the chart style.
Create a `Chart` instance via `QuickChart`, add a series of data to it, and either display it or save it as a bitmap.
double[] xData = new double[] { 0.0, 1.0, 2.0 };
double[] yData = new double[] { 2.0, 1.0, 0.0 };
// Create Chart
Chart chart = QuickChart.getChart("Sample Chart", "X", "Y", "y(x)", xData, yData);
// Show it
new SwingWrapper(chart).displayChart();
// Save it
BitmapEncoder.saveBitmap(chart, "./Sample_Chart", BitmapFormat.PNG);
BitmapEncoder.saveBitmapWithDPI(chart, "./Sample_Chart_300_DPI", BitmapFormat.PNG, 300);

## Intermediate Example
Create a `Chart` via a `ChartBuilder`, style chart, add a series to it, style series, and display chart.
```java
// Create Chart
XYChart chart = new XYChartBuilder().width(600).height(500).title("Gaussian Blobs").xAxisTitle("X").yAxisTitle("Y").build();
// Customize Chart
chart.getStyler().setDefaultSeriesRenderStyle(ChartXYSeriesRenderStyle.Scatter);
chart.getStyler().setChartTitleVisible(false);
chart.getStyler().setLegendPosition(LegendPosition.InsideSW);
chart.getStyler().setMarkerSize(16);
// Series
chart.addSeries("Gaussian Blob 1", getGaussian(1000, 1, 10), getGaussian(1000, 1, 10));
XYSeries series = chart.addSeries("Gaussian Blob 2", getGaussian(1000, 1, 10), getGaussian(1000, 0, 5));
series.setMarker(SeriesMarkers.DIAMOND);
new SwingWrapper(chart).displayChart();
```

## Advanced Example
Create a `Chart` via a `ChartBuilder`, style chart, add a series to it, add chart to `XChartPanel`, embed in Java Swing App, and display GUI.
```java
// Create Chart
final XYChart chart = new XYChartBuilder().width(600).height(400).title("Area Chart").xAxisTitle("X").yAxisTitle("Y").build();
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// Customize Chart
chart.getStyler().setLegendPosition(LegendPosition.InsideNE);
chart.getStyler().setDefaultSeriesRenderStyle(ChartXYSeriesRenderStyle.Area);
// Series
chart.addSeries("a", new double[] { 0, 3, 5, 7, 9 }, new double[] { -3, 5, 9, 6, 5 });
chart.addSeries("b", new double[] { 0, 2, 4, 6, 9 }, new double[] { -1, 6, 4, 0, 4 });
chart.addSeries("c", new double[] { 0, 1, 3, 8, 9 }, new double[] { -2, -1, 1, 0, 1 });
// Create and set up the window.
final JFrame frame = new JFrame("Advanced Example");
// Schedule a job for the event-dispatching thread:
// creating and showing this application's GUI.
javax.swing.SwingUtilities.invokeLater(new Runnable() {
@Override
public void run() {
frame.setLayout(new BoxLayout(frame.getContentPane(), BoxLayout.Y_AXIS)); // <-- you need this for now
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
JPanel chartPanel = new XChartPanel(chart);
frame.add(chartPanel);
JLabel label = new JLabel("Blah blah blah.", SwingConstants.CENTER);
frame.add(label);
// Display the window.
frame.pack();
frame.setVisible(true);
}
});
```

To make it real-time, simply call `updateSeries` on the `XChartPanel` instance.
* [x] Line charts
* [x] Scatter charts
* [x] Area charts
* [x] Bar charts
* [x] Histogram charts
* [x] Donut charts
* [x] Bubble charts
* [x] Number, Date, Bubble and Category X-Axis
* [x] Multiple series
* [x] Extensive customization
* [x] Right-click, Save-As...
* [x] User-defined axes range
* [x] Custom legend placement
* [x] CSV import and export
* [x] High resolution chart export
* [x] Export SVG, EPS and PDF using optional `de.erichseifert.vectorgraphics2d` library
Currently, there are three major chart types: `XYChart`, `CategoryChart` and `PieChart`. Each type has its corresponding `ChartBuilder`, `Styler` and `Series`.
| Chart Type | Builder | Styler | Series | Allowed X-Axis Data Types | Default Series Render Style |
|---|---|---|---|---|---|
| XYChart | XYChartBuilder | XYStyler | XYSeries | Number, Date | Line |
| CategoryChart | CategoryChartBuilder | CategoryStyler | CategorySeries | Number, Date, String | Bar |
| PieChart | PieChartBuilder | PieStyler | PieSeries | String | Pie |
| BubbleChart | BubbleChartBuilder | BubbleStyler | BubbleSeries | Number, Date | Round |
The different Stylers contain chart styling methods specific to the corresponding chart type as well as common styling methods common across all chart types.

`XYChart` charts take Date or Number data types for the X-Axis and Number data types for the Y-Axis. For both axes, the tick marks are auto generated to span the range and domain of the data in evenly-spaced intervals.
Series render styles include: `Line`, `Scatter` and `Area`.

`CategoryChart` charts take Date, Number or String data types for the X-Axis and Number data types for the Y-Axis. For the X-Axis, each category is given its own tick mark.
Series render styles include: `Bar`, `Line`, `Scatter`, `Area` and `Stick`.

`PieChart` charts take String data types for the pie slice name and Number data types for the pie slice value.
Series render styles include: `Pie` and `Donut`.
### BubbleChart

`BubbleChart` charts take Date or Number data types for the X-Axis and Number data types for the Y-Axis and bubble sizes.
Series render styles include: `Round` and in the near future `Square`.
## Real-time Java Charts using XChart
The above image shows a real-time bubble chart. Real-time charts are as simple as calling `replaceData` on one or more series objects and triggering a redraw of the `JPanel` containing the chart. There are several real-time chart demos, all of which can be found here: <https://github.com/timmolter/XChart/tree/develop/xchart-demo/src/main/java/org/knowm/xchart/demo/charts/realtime>.
## Chart Customization
All the styling options can be found in one of two possible places: 1) the Chart's `Styler` or 2) the series' `set` methods. With this chart customization design, all customization options can be quickly "discovered" using an IDE's built in "Content Assist". With centralized styling like this, there is no need to hunt around the entire charting API to find that one customization you're looking for - it's all right in one spot!


## Chart Themes
XChart ships with three different themes: Default `XChart`, `GGPlot2` and `Matlab`. Using a different theme is as simple as setting the Chart's theme with the `theme` method of the `ChartBuilder`.
XYChart chart = new XYChartBuilder().width(800).height(600).theme(ChartTheme.Matlab).build();

## What's Next?
Now go ahead and [study some more examples](http://knowm.org/open-source/xchart/xchart-example-code/), [download the thing](http://knowm.org/open-source/xchart/xchart-change-log) and [provide feedback](https://github.com/timmolter/XChart/issues).
Download Jar: http://knowm.org/open-source/xchart/xchart-change-log
Add the XChart library as a dependency to your pom.xml file:
<snapshots/>
<url>https://oss.sonatype.org/content/repositories/snapshots</url>
</repository>
Snapshots can be manually downloaded from Sonatyope: [https://oss.sonatype.org/content/groups/public/org/knowm/xchart/xchart/](https://oss.sonatype.org/content/groups/public/org/knowm/xchart/xchart/)
Christoffer SOOP
committed
### SBT
To use XChart with the Scala Build Tool (SBT) add the following to your build.sbt
```scala
libraryDependencies += "org.knowm.xchart" % "xchart" % "3.1.0" exclude("de.erichseifert.vectorgraphics2d", "VectorGraphics2D") withSources()
Christoffer SOOP
committed
```
#### general
mvn clean package
#### maven-license-plugin
mvn license:check
mvn license:format
mvn license:remove
java -cp xchart-demo-3.1.0.jar:xchart-3.1.0.jar org.knowm.xchart.demo.XChartDemo

Please report any bugs or submit feature requests to [XChart's Github issue tracker](https://github.com/timmolter/XChart/issues).
[](https://travis-ci.org/timmolter/XChart.png)
[Build History](https://travis-ci.org/timmolter/XChart/builds)
Donate with Bitcoin: [1JVyTP9v9z54dALuhDTZDQfS6FUjcKjPgZ](https://blockchain.info/address/1JVyTP9v9z54dALuhDTZDQfS6FUjcKjPgZ)
All donations will be used to pay bounties for new features, refactoring, etc. Please consider donating or even posting your own bounties on our [Issues Page](https://github.com/timmolter/xchart/issues?state=open). Open bounties and bounties paid thus far can be found on Knowm's [bounties](http://knowm.org/open-source/) page.
We will announce new releases on our [Twitter page](https://twitter.com/Knowmorg).