// give the ScottPlotUC data to store in memory
public void SetData(double[] Xs, double[] Ys)
{
this.Xs = Xs;
this.Ys = Ys;
SP.AxisAuto(Xs, Ys);
UpdateGraph();
MessageUpdate();
}
static void Main(string[] args)
{
// create data with our own routines
int nPoints = 250;
double[] Xs = ScottPlot.Generate.Sequence(nPoints);
double[] Ys1 = ScottPlot.Generate.Sine(nPoints, 4);
double[] Ys2 = ScottPlot.Generate.Sine(nPoints, 4.5, .8);
// create a ScottPlot figure
ScottPlot.Figure SP = new ScottPlot.Figure();
// manually set axis before drawing anything (very important)
SP.AxisAuto(Xs, Ys1, 0, 0.1);
// prepare by first drawing a grid
SP.Grid();
// add the line to the bitmap
SP.PlotLine(Xs, Ys1, "g", 5, true);
SP.PlotLine(Xs, Ys2, "b", 2);
// render the bitmap and save it as a file
SP.SaveFig("demo.jpg");
}
/// <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");
}
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();
}
public Form1()
{
InitializeComponent();
// create the figure and apply styling
fig = new ScottPlot.Figure(pictureBox1.Width, pictureBox1.Height);
fig.styleForm();
fig.labelTitle = "Awesome Data";
fig.labelY = "Random Walk";
fig.labelX = "Sample Number";
// synthesize data
int pointCount = 123;
Xs = fig.gen.Sequence(pointCount);
Ys = fig.gen.RandomWalk(pointCount);
fig.AxisAuto(Xs, Ys, .9, .9);
}
/// <summary>
/// Zooming
/// </summary>
public static void demo_002()
{
var fig = new ScottPlot.Figure(640, 480);
fig.labelTitle = "Super Special Data";
fig.labelY = "Random Walk";
fig.labelX = "Sample Number";
double[] Xs = fig.gen.Sequence(123);
double[] Ys = fig.gen.RandomWalk(123);
fig.AxisAuto(Xs, Ys, null, null); // fit data precisely
fig.Zoom(2, .5); // now zoom in horizontally and out vertically
fig.PlotLines(Xs, Ys, 1, Color.Red);
fig.PlotScatter(Xs, Ys, 5, Color.Blue);
fig.Save("output/demo_002.png");
}
private void Form1_Load(object sender, EventArgs e)
{
// init the figure only after the form loaded (so we know final pictureBox1 dimensions)
fig = new ScottPlot.Figure(pictureBox1.Width, pictureBox1.Height);
// create the figure and apply styling
fig.styleForm();
fig.labelTitle = "Awesome Data";
fig.labelY = "Random Walk";
fig.labelX = "Sample Number";
// synthesize data
int pointCount = 123;
Xs = fig.gen.Sequence(pointCount);
Ys = fig.gen.RandomWalk(pointCount);
fig.AxisAuto(Xs, Ys, .9, .9);
ResizeAndRedraw();
}
/// <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");
}
private void button1_Click(object sender, EventArgs e)
{
var fig = new ScottPlot.Figure(pictureBox1.Width, pictureBox1.Height);
fig.styleForm(); // optimizes colors for forms
fig.labelTitle = "Plotting Point Arrays";
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);
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);
pictureBox1.Image = fig.Render();
}
/// <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");
}