/// <summary>
/// Create a plot of data from two arrays of doubles (Xs and Ys)
/// </summary>
public static void demo_001()
{
// create a new ScottPlot figure
var fig = new ScottPlot.Figure(640, 480);
fig.labelTitle = "Super Special Data";
fig.labelY = "Random Walk";
fig.labelX = "Sample Number";
// generate data
int pointCount = 123;
double[] Xs = fig.gen.Sequence(pointCount);
double[] Ys = fig.gen.RandomWalk(pointCount);
// adjust the axis to fit the data (then zoom out slightly)
fig.AxisAuto(Xs, Ys, .9, .9);
// make the plot
fig.BenchmarkThis();
fig.PlotLines(Xs, Ys, 1, Color.Red);
fig.PlotScatter(Xs, Ys, 5, Color.Blue);
// save the file
fig.Save("output/demo_001.png");
}
/// <summary>
/// Overlapping plots of different sizes and colors
/// </summary>
public static void demo_004()
{
var fig = new ScottPlot.Figure(640, 480);
fig.labelTitle = "Super Special Data";
fig.labelY = "Random Walk";
fig.labelX = "Sample Number";
// use the same Xs every time
double[] Xs = fig.gen.Sequence(123);
// manually define axis
fig.AxisSet(-5, 130, -10, 10);
fig.BenchmarkThis();
fig.PlotLines(Xs, fig.gen.RandomWalk(123), 1, Color.Red);
fig.PlotLines(Xs, fig.gen.RandomWalk(123), 2, Color.Orange);
fig.PlotLines(Xs, fig.gen.RandomWalk(123), 3, Color.Yellow);
fig.PlotLines(Xs, fig.gen.RandomWalk(123), 4, Color.Green);
fig.PlotLines(Xs, fig.gen.RandomWalk(123), 5, Color.Blue);
fig.PlotLines(Xs, fig.gen.RandomWalk(123), 6, Color.Indigo);
fig.PlotLines(Xs, fig.gen.RandomWalk(123), 7, Color.Violet);
fig.Save("output/demo_004.png");
}
/// <summary>
/// Scatter plot features
/// </summary>
public static void demo_006()
{
// create a new ScottPlot figure
var fig = new ScottPlot.Figure(640, 480);
fig.labelTitle = "Super Special Data";
fig.labelY = "Random Walk";
fig.labelX = "Sample Number";
// generate data
int pointCount = 40;
double[] Xs = fig.gen.Sequence(pointCount);
// manually define axis
fig.AxisSet(-3, 43, -2, 4);
// make the plot
fig.BenchmarkThis();
fig.PlotScatter(Xs, fig.gen.RandomWalk(pointCount), 2, Color.Black);
fig.PlotScatter(Xs, fig.gen.RandomWalk(pointCount), 5, Color.Red);
fig.PlotScatter(Xs, fig.gen.RandomWalk(pointCount), 10, Color.Green);
fig.PlotScatter(Xs, fig.gen.RandomWalk(pointCount), 20, Color.FromArgb(100, 0, 0, 255));
// save the file
fig.Save("output/demo_006.png");
}
/// <summary>
/// Demonstrate transparency
/// </summary>
public static void demo_005()
{
var fig = new ScottPlot.Figure(640, 480);
fig.labelTitle = "Super Special Data";
fig.labelY = "Random Walk";
fig.labelX = "Sample Number";
// use the same Xs every time
double[] Xs = fig.gen.Sequence(123);
// manually define axis
fig.AxisSet(-5, 130, -10, 10);
// plot lines with different colors
Color[] colors = new Color[] { Color.FromArgb(100, 255, 0, 0), // red
Color.FromArgb(100, 0, 150, 0), // green
Color.FromArgb(100, 0, 0, 255) }; // blue
fig.BenchmarkThis();
for (int i = 0; i < colors.Length; i++) // for each color
{
for (int j = 0; j < 3; j++) // draw 3 lines
{
fig.PlotLines(Xs, fig.gen.RandomWalk(123), 5, colors[i]);
}
}
fig.Save("output/demo_005.png");
}
public void ResizeAndRedraw()
{
if (fig == null)
{
return;
}
fig.BenchmarkThis(showBenchmark);
fig.Resize(pictureBox1.Width, pictureBox1.Height);
fig.FrameRedraw();
fig.PlotLines(Xs, Ys, 1, Color.Red);
fig.PlotScatter(Xs, Ys, 5, Color.Blue);
pictureBox1.Image = fig.Render();
}
private void button1_Click(object sender, EventArgs e)
{
fig = new ScottPlot.Figure(pictureBox1.Width, pictureBox1.Height);
fig.styleForm();
fig.labelY = "value";
fig.labelX = "time (seconds)";
int pointCount = (int)(nud_sec.Value * sampleRate);
double[] Ys = fig.gen.RandomWalk(pointCount);
fig.AxisSet(0, pointCount / sampleRate, null, null);
fig.AxisAuto(null, Ys, .9, .9);
fig.BenchmarkThis();
fig.PlotSignal(Ys, 1.0 / sampleRate);
pictureBox1.Image = fig.Render();
}
/// <summary>
/// Stress-test PlotSignal() with 100 MILLION data points
/// </summary>
public static void demo_012()
{
// create a new ScottPlot figure
var fig = new ScottPlot.Figure(640, 480);
fig.labelTitle = "100 Million Point Stress-Test";
fig.labelY = "value";
fig.labelX = "time (seconds)";
// create ONE MILLION points
double[] Ys = fig.gen.RandomWalk(100_000_000);
fig.AxisAuto(null, Ys, null, .9); // resize Y to data
fig.AxisSet(0, Ys.Length / 20e3, null, null); // resize X manually
// plot using the FAST METHOD
fig.BenchmarkThis();
fig.PlotSignal(Ys, 1.0 / 20e3);
// save the file
fig.Save("output/demo_012.png");
}
/// <summary>
/// Plot one million data points using PlotLines() - do not do this!!
/// For high density data (with a large number of data points) evenly spaced, use PlotSignal().
/// The purpose of this demonstration is to highlight how much faster PlotSignal() is over PlotLines()
/// </summary>
public static void demo_010()
{
// create a new ScottPlot figure
var fig = new ScottPlot.Figure(640, 480);
fig.labelTitle = "1 Million Points with PlotLines()";
fig.labelY = "value";
fig.labelX = "time (seconds)";
// create ONE MILLION points
double[] Xs = fig.gen.Sequence(1_000_000, 1.0 / 20e3); // 20 kHz
double[] Ys = fig.gen.RandomWalk(1_000_000);
fig.AxisAuto(Xs, Ys, null, .9);
// using the SLOW METHOD
fig.BenchmarkThis();
fig.PlotLines(Xs, Ys, 1, Color.Red);
// save the file
fig.Save("output/demo_010.png");
}
/// <summary>
/// Changing colors
/// </summary>
public static void demo_003()
{
var fig = new ScottPlot.Figure(640, 480);
fig.labelTitle = "Super Special Data";
fig.labelY = "Random Walk";
fig.labelX = "Sample Number";
// go to town changing colors
fig.colorAxis = Color.Yellow;
fig.colorFigBg = Color.FromArgb(255, 30, 30, 30);
fig.colorGridLines = Color.FromArgb(255, 55, 55, 55);
fig.colorGraphBg = Color.FromArgb(255, 40, 40, 40);
double[] Xs = fig.gen.Sequence(123);
double[] Ys = fig.gen.RandomWalk(123);
fig.AxisAuto(Xs, Ys, .9, .9);
fig.BenchmarkThis();
fig.PlotLines(Xs, Ys, 1, Color.Gray);
fig.PlotScatter(Xs, Ys, 5, Color.White);
fig.Save("output/demo_003.png");
}