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// Copyright ©2015 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package plotter_test
import (
"fmt"
"log"
"golang.org/x/exp/rand"
"gonum.org/v1/plot"
"gonum.org/v1/plot/plotter"
"gonum.org/v1/plot/vg"
)
func ExampleBoxPlot() {
rnd := rand.New(rand.NewSource(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 := 0; i < n; i++ {
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)
}
normBox, err := plotter.NewBoxPlot(vg.Points(20), 1, normal)
if err != nil {
log.Panic(err)
}
expBox, err := plotter.NewBoxPlot(vg.Points(20), 2, expon)
if err != nil {
log.Panic(err)
}
// 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, err := plot.New()
if err != nil {
log.Panic(err)
}
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")
err = p1.Save(200, 200, "testdata/verticalBoxPlot.png")
if err != nil {
log.Panic(err)
}
// Now, make the same plot but horizontal.
normBox.Horizontal = true
expBox.Horizontal = true
uniBox.Horizontal = true
// We can use the same plotters but the labels need to be recreated.
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)
}
p2, err := plot.New()
if err != nil {
log.Panic(err)
}
p2.Title.Text = "Horizontal Box Plot"
p2.X.Label.Text = "plotter.Values"
p2.Add(uniBox, uniLabels, normBox, normLabels, expBox, expLabels)
// Set the Y axis of the plot to nominal with
// the given names for y=0, y=1 and y=2.
p2.NominalY("Uniform\nDistribution", "Normal\nDistribution",
"Exponential\nDistribution")
err = p2.Save(200, 200, "testdata/horizontalBoxPlot.png")
if err != nil {
log.Panic(err)
}
// Now, make a grouped box plot.
p3, err := plot.New()
if err != nil {
log.Panic(err)
}
p3.Title.Text = "Box Plot"
p3.Y.Label.Text = "plotter.Values"
w := vg.Points(20)
for x := 0.0; x < 3.0; x++ {
b0, err := plotter.NewBoxPlot(w, x, uniform)
if err != nil {
log.Panic(err)
}
b0.Offset = -w - vg.Points(3)
b1, err := plotter.NewBoxPlot(w, x, normal)
if err != nil {
log.Panic(err)
}
b2, err := plotter.NewBoxPlot(w, x, expon)
if err != nil {
log.Panic(err)
}
b2.Offset = w + vg.Points(3)
p3.Add(b0, b1, b2)
}
// Add a GlyphBox plotter for debugging.
p3.Add(plotter.NewGlyphBoxes())
// Set the X axis of the plot to nominal with
// the given names for x=0, x=1 and x=2.
p3.NominalX("Group 0", "Group 1", "Group 2")
err = p3.Save(300, 300, "testdata/groupedBoxPlot.png")
if err != nil {
log.Panic(err)
}
}
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