// Example_boxPlots draws vertical boxplots.
func Example_boxPlots() *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"
// Make boxes for our data and add them to the plot.
p.Add(plotter.NewBoxPlot(vg.Points(20), 0, uniform),
plotter.NewBoxPlot(vg.Points(20), 1, normal),
plotter.NewBoxPlot(vg.Points(20), 2, expon))
// Set the X axis of the plot to nominal with
// the given names for x=0, x=1 and x=2.
p.NominalX("Uniform\nDistribution", "Normal\nDistribution",
"Exponential\nDistribution")
return p
}
// Example_horizontalBoxPlots draws horizontal boxplots
// with some labels on their points.
func Example_horizontalBoxPlots() *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 Box Plot"
p.X.Label.Text = "plotter.Values"
// Make boxes for our data and add them to the plot.
uniBox := plotter.HorizBoxPlot{plotter.NewBoxPlot(vg.Points(20), 0, uniform)}
uniLabels, err := uniBox.OutsideLabels(uniform)
if err != nil {
panic(err)
}
normBox := plotter.HorizBoxPlot{plotter.NewBoxPlot(vg.Points(20), 1, normal)}
normLabels, err := normBox.OutsideLabels(normal)
if err != nil {
panic(err)
}
expBox := plotter.HorizBoxPlot{plotter.NewBoxPlot(vg.Points(20), 2, expon)}
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
}
// AddBoxPlots adds box plot plotters to a plot and
// sets the X axis of the plot to be nominal.
// The variadic arguments must be either strings
// or plotter.Valuers. Each valuer adds a box plot
// to the plot at the X location corresponding to
// the number of box plots added before it. If a
// plotter.Valuer is immediately preceeded by a
// string then the string value is used to label the
// tick mark for the box plot's X location.
func AddBoxPlots(plt *plot.Plot, width vg.Length, vs ...interface{}) {
var names []string
name := ""
for _, v := range vs {
switch t := v.(type) {
case string:
name = t
case plotter.Valuer:
plt.Add(plotter.NewBoxPlot(width, float64(len(names)), t))
names = append(names, name)
name = ""
default:
panic(fmt.Sprintf("AddScatters handles strings and plotter.XYers, got %T", t))
}
}
plt.NominalX(names...)
}
