func Example_groupedHorizontalQuartPlots() *plot.Plot {
rand.Seed(int64(0))
n := 100
uniform := make(plotter.Values, n)
normal := make(plotter.Values, n)
expon := make(plotter.Values, n)
for i := 0; i < n; i++ {
uniform[i] = rand.Float64()
normal[i] = rand.NormFloat64()
expon[i] = rand.ExpFloat64()
}
p, err := plot.New()
if err != nil {
panic(err)
}
p.Title.Text = "Box Plot"
p.Y.Label.Text = "plotter.Values"
w := vg.Points(10)
for x := 0.0; x < 3.0; x++ {
b0 := must(plotter.MakeHorizQuartPlot(x, uniform)).(plotter.HorizQuartPlot)
b0.Offset = -w
b1 := must(plotter.MakeHorizQuartPlot(x, normal)).(plotter.HorizQuartPlot)
b2 := must(plotter.MakeHorizQuartPlot(x, expon)).(plotter.HorizQuartPlot)
b2.Offset = w
p.Add(b0, b1, b2)
}
p.Add(plotter.NewGlyphBoxes())
p.NominalY("Group 0", "Group 1", "Group 2")
return p
}
// Example_horizontalQuartPlots draws horizontal quartile plots
// with some labels on their points.
func Example_horizontalQuartPlots() *plot.Plot {
rand.Seed(int64(0))
n := 100
uniform := make(valueLabels, n)
normal := make(valueLabels, n)
expon := make(valueLabels, n)
for i := 0; i < n; i++ {
uniform[i].Value = rand.Float64()
uniform[i].Label = fmt.Sprintf("%4.4f", uniform[i].Value)
normal[i].Value = rand.NormFloat64()
normal[i].Label = fmt.Sprintf("%4.4f", normal[i].Value)
expon[i].Value = rand.ExpFloat64()
expon[i].Label = fmt.Sprintf("%4.4f", expon[i].Value)
}
p, err := plot.New()
if err != nil {
panic(err)
}
p.Title.Text = "Horizontal Quartile Plot"
p.X.Label.Text = "plotter.Values"
// Make boxes for our data and add them to the plot.
uniBox := must(plotter.MakeHorizQuartPlot(0, uniform)).(plotter.HorizQuartPlot)
uniLabels, err := uniBox.OutsideLabels(uniform)
if err != nil {
panic(err)
}
normBox := must(plotter.MakeHorizQuartPlot(1, normal)).(plotter.HorizQuartPlot)
normLabels, err := normBox.OutsideLabels(normal)
if err != nil {
panic(err)
}
expBox := must(plotter.MakeHorizQuartPlot(2, expon)).(plotter.HorizQuartPlot)
expLabels, err := expBox.OutsideLabels(expon)
if err != nil {
panic(err)
}
p.Add(uniBox, uniLabels, normBox, normLabels, expBox, expLabels)
// Add a GlyphBox plotter for debugging.
p.Add(plotter.NewGlyphBoxes())
// Set the Y axis of the plot to nominal with
// the given names for y=0, y=1 and y=2.
p.NominalY("Uniform\nDistribution", "Normal\nDistribution",
"Exponential\nDistribution")
return p
}