Function ExampleBoxPlot

plotter/boxplot_example_test.go:18–149

()

)

func ExampleBoxPlot() {
	rnd := rand.New(rand.NewPCG(1, 1))

	// Create the sample data.
	const n = 100
	uniform := make(plotter.ValueLabels, n)
	normal := make(plotter.ValueLabels, n)
	expon := make(plotter.ValueLabels, n)
	for i := range n {
		uniform[i].Value = rnd.Float64()
		uniform[i].Label = fmt.Sprintf("%4.4f", uniform[i].Value)
		normal[i].Value = rnd.NormFloat64()
		normal[i].Label = fmt.Sprintf("%4.4f", normal[i].Value)
		expon[i].Value = rnd.ExpFloat64()
		expon[i].Label = fmt.Sprintf("%4.4f", expon[i].Value)
	}

	// Make boxes for our data and add them to the plot.
	uniBox, err := plotter.NewBoxPlot(vg.Points(20), 0, uniform)
	if err != nil {
		log.Panic(err)
	}
	uniBox.FillColor = color.RGBA{127, 188, 165, 1}
	normBox, err := plotter.NewBoxPlot(vg.Points(20), 1, normal)
	if err != nil {
		log.Panic(err)
	}
	normBox.FillColor = color.RGBA{127, 188, 165, 1}
	expBox, err := plotter.NewBoxPlot(vg.Points(20), 2, expon)
	if err != nil {
		log.Panic(err)
	}
	expBox.FillColor = color.RGBA{127, 188, 165, 1}

	// Make a vertical box plot.
	uniLabels, err := uniBox.OutsideLabels(uniform)
	if err != nil {
		log.Panic(err)
	}
	normLabels, err := normBox.OutsideLabels(normal)
	if err != nil {
		log.Panic(err)
	}
	expLabels, err := expBox.OutsideLabels(expon)
	if err != nil {
		log.Panic(err)
	}

	p1 := plot.New()
	p1.Title.Text = "Vertical Box Plot"
	p1.Y.Label.Text = "plotter.Values"
	p1.Y.Max = 6
	p1.Add(uniBox, uniLabels, normBox, normLabels, expBox, expLabels)

	// Set the X axis of the plot to nominal with
	// the given names for x=0, x=1 and x=2.
	p1.NominalX("Uniform\nDistribution", "Normal\nDistribution",
		"Exponential\nDistribution")