Examples of XYPlot

com.positive.charts.plot.xy.XYPlot
A general class for plotting data in the form of (x, y) pairs. This plot can use data from any class that implements the {@link XYDataset} interface.
XYPlot makes use of an {@link XYItemRenderer} to draw each pointon the plot. By using different renderers, various chart types can be produced.
org.jfree.chart.plot.XYPlot
A general class for plotting data in the form of (x, y) pairs. This plot can use data from any class that implements the {@link XYDataset} interface.
XYPlot makes use of an {@link XYItemRenderer} to draw each pointon the plot. By using different renderers, various chart types can be produced.
The {@link org.jfree.chart.ChartFactory} class contains static methods forcreating pre-configured charts.
org.timepedia.chronoscope.client.XYPlot
An interface to be implemented by classes implementing XY plots of {@link Dataset} objects.
Conceptually, an XYPlot is a class responsible formaintaining a collection of datasets, axes, and graph state, and mapping data-space values to screen-space values suitable for rendering on a {@link View}. More specifically, a plot converts data-space values to user-space values by delegating to an Axis implementation.
User-space values are in the interval [0,1] independent of the screen space size of the plot. For example, a ValueAxis with a visible range of 0.0 to 500.0, will map a data-value of 250.0 to a user-space value of 0.5. A renderer like XYLineRenderer or XYBarRenderer will convert user-space values to screen-space values before rendering. When Chronoscope has CategoryPlot support, then a CategoryAxis would map x-axis values like "Groceries", "Gas", "Utilities" to appropriate user-space values (say, 0, 0.5, 1.0)
An important feature of Chronoscope is support for large dataset scalability. This is achieved using datasets with multiresolution representation. At coarser levels of detail, a dataset may be decimated, interpolated, or filtered in a myriad of ways to compress its size, while hopefully preserving as much signal as possible.
A plot maintains some of the following important values:
- Domain origin
- Visible Domain
- Focus point and dataset
- Hover point and dataset
- Current highlight/selection
... as well as some stylistic overrides:
- Legend enabled/disabled
- Domain axis rendering enabled/disabled
- Overview enabled/disabled
- Selection mode on/off
plotter.xy.XYPlot
Plots points using Cartesian coordinates. @author Adam Crume

Examples of org.jfree.chart.plot.XYPlot

      categoryPlot.setDomainGridlinesVisible(false);
      
    }
    else if(plot instanceof XYPlot)
    {
      XYPlot xyPlot = (XYPlot)plot;
      XYDataset xyDataset = xyPlot.getDataset();
      if(xyDataset != null)
      {
        XYItemRenderer xyItemRenderer = xyPlot.getRenderer();
        for(int i = 0; i < xyDataset.getSeriesCount(); i++)
        {
          xyItemRenderer.setSeriesOutlinePaint(i, ChartThemesConstants.TRANSPARENT_PAINT);
        }
      }
      xyPlot.setRangeGridlinePaint(ChartThemesConstants.GRAY_PAINT_134);
      xyPlot.setRangeGridlineStroke(new BasicStroke(1f));
      xyPlot.setDomainGridlinesVisible(false);
      
      xyPlot.setRangeZeroBaselineVisible(true);


    }
  }

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Examples of org.jfree.chart.plot.XYPlot


  protected JFreeChart createXyAreaChart() throws JRException
  {
    JFreeChart jfreeChart = super.createXyAreaChart();


    XYPlot xyPlot = (XYPlot)jfreeChart.getPlot();
    SquareXYAreaRenderer squareXyAreaRenderer = new SquareXYAreaRenderer((XYAreaRenderer)xyPlot.getRenderer());
    xyPlot.setRenderer(squareXyAreaRenderer);


    return jfreeChart;
  }

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Examples of org.timepedia.chronoscope.client.XYPlot

    XYDataset ds[] = new XYDataset[2];
    ds[0] = new MockXYDataset();
    ds[1] = new MockXYDataset();
    runChronoscopeTest(ds, new ViewReadyCallback() {
      public void onViewReady(View view) {
        XYPlot plot = view.getChart().getPlot();
        assertSame(plot.getRangeAxis(0), plot.getRangeAxis(1));
        finishTest();
      }
    });


  }

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Examples of plotter.xy.XYPlot

    final Axis[] yAxes = new Axis[numPlots];
    final SimpleXYDataset[][] datasets = new SimpleXYDataset[numPlots][linesPerPlot];
    SlopeLine slopeLine = new SlopeLine();
    slopeLine.setForeground(Color.white);
    for(int i = 0; i < numPlots; i++) {
      final XYPlot plot = new XYPlot();
      final XYAxis xAxis = new LinearXYAxis(XYDimension.X);
      final XYAxis yAxis = new LinearXYAxis(XYDimension.Y);
      xAxis.setPreferredSize(new Dimension(1, 30));
      yAxis.setPreferredSize(new Dimension(40, 1));
      xAxis.setForeground(Color.white);
      yAxis.setForeground(Color.white);
      xAxis.setTextMargin(10);
      yAxis.setTextMargin(10);
      plot.add(xAxis);
      plot.add(yAxis);
      plot.setXAxis(xAxis);
      plot.setYAxis(yAxis);
      plot.setBackground(Color.darkGray);
      XYGrid grid = new XYGrid(xAxis, yAxis);
      grid.setForeground(Color.lightGray);
      XYPlotContents contents = new XYPlotContents();
      contents.setBackground(Color.black);
      plot.add(contents);
      contents.add(grid);
      plot.setPreferredSize(new Dimension(150, 100));


      new DefaultXYLayoutGenerator().generateLayout(plot);


      for(int j = 0; j < linesPerPlot; j++) {
        final LinearXYPlotLine line = new LinearXYPlotLine(xAxis, yAxis, XYDimension.X);

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