Exemple #1
0
// Example_groupedBoxPlots draws vertical boxplots.
func Example_groupedBoxPlots() *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(20)
	for x := 0.0; x < 3.0; x++ {
		b0 := must(plotter.NewBoxPlot(w, x, uniform)).(*plotter.BoxPlot)
		b0.Offset = -w - vg.Points(3)
		b1 := must(plotter.NewBoxPlot(w, x, normal)).(*plotter.BoxPlot)
		b2 := must(plotter.NewBoxPlot(w, x, expon)).(*plotter.BoxPlot)
		b2.Offset = w + vg.Points(3)
		p.Add(b0, b1, b2)
	}

	// Set the X axis of the plot to nominal with
	// the given names for x=0, x=1 and x=2.
	p.NominalX("Group 0", "Group 1", "Group 2")
	return p
}
Exemple #2
0
// 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(must(plotter.NewBoxPlot(vg.Points(20), 0, uniform)).(*plotter.BoxPlot),
		must(plotter.NewBoxPlot(vg.Points(20), 1, normal)).(*plotter.BoxPlot),
		must(plotter.NewBoxPlot(vg.Points(20), 2, expon)).(*plotter.BoxPlot))

	// 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
}
Exemple #3
0
// 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
}
Exemple #4
0
// Example_verticalBoxPlots draws vertical boxplots
// with some labels on their points.
func Example_verticalBoxPlots() *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 = "Box Plot"
	p.Y.Label.Text = "plotter.Values"

	// Make boxes for our data and add them to the plot.
	uniBox := must(plotter.NewBoxPlot(vg.Points(20), 0, uniform)).(*plotter.BoxPlot)
	uniLabels, err := uniBox.OutsideLabels(uniform)
	if err != nil {
		panic(err)
	}

	normBox := must(plotter.NewBoxPlot(vg.Points(20), 1, normal)).(*plotter.BoxPlot)
	normLabels, err := normBox.OutsideLabels(normal)
	if err != nil {
		panic(err)
	}

	expBox := must(plotter.NewBoxPlot(vg.Points(20), 2, expon)).(*plotter.BoxPlot)
	expLabels, err := expBox.OutsideLabels(expon)
	if err != nil {
		panic(err)
	}

	p.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.
	p.NominalX("Uniform\nDistribution", "Normal\nDistribution",
		"Exponential\nDistribution")
	return p
}
Exemple #5
0
// 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.
//
// If an error occurs then none of the plotters are added
// to the plot, and the error is returned.
func AddBoxPlots(plt *plot.Plot, width vg.Length, vs ...interface{}) error {
	var ps []plot.Plotter
	var names []string
	name := ""
	for _, v := range vs {
		switch t := v.(type) {
		case string:
			name = t

		case plotter.Valuer:
			b, err := plotter.NewBoxPlot(width, float64(len(names)), t)
			if err != nil {
				return err
			}
			ps = append(ps, b)
			names = append(names, name)
			name = ""

		default:
			panic(fmt.Sprintf("AddScatters handles strings and plotter.XYers, got %T", t))
		}
	}
	plt.Add(ps...)
	plt.NominalX(names...)
	return nil
}
Exemple #6
0
func boxplot(path string, sets []set) error {
	var (
		fiveEnds  = make([]plotter.Values, len(sets))
		threeEnds = make([]plotter.Values, len(sets))

		err error

		ln int
	)
	for i := range sets {
		fiveEnds[i], err = plotter.CopyValues(&normalised{vals: sets[i].fiveEnd})
		if err != nil {
			return err
		}
		threeEnds[i], err = plotter.CopyValues(&normalised{vals: sets[i].threeEnd})
		if err != nil {
			return err
		}
		if i == 0 {
			ln = fiveEnds[i].Len()
		}
		if fiveEnds[i].Len() != threeEnds[i].Len() || fiveEnds[i].Len() != ln {
			return errors.New("missing values")
		}
	}

	font, err := vg.MakeFont("Helvetica", 10)
	if err != nil {
		return err
	}
	titleFont, err := vg.MakeFont("Helvetica", 12)
	if err != nil {
		return err
	}
	style := plot.TextStyle{Color: color.Gray{0}, Font: font}
	p, err := plot.New()
	if err != nil {
		return err
	}
	p.Title.Text = titles[filter]
	p.Title.TextStyle = plot.TextStyle{Color: color.Gray{0}, Font: titleFont}
	p.X.Label.Text = "Length Offset"
	p.Y.Label.Text = "Relative Frequency"
	p.X.Label.TextStyle = style
	p.Y.Label.TextStyle = style
	p.X.Tick.Label = style
	p.Y.Tick.Label = style
	p.Legend.TextStyle = style

	type boxPair struct{ five, three *plotter.BoxPlot }
	var boxes []boxPair
	for i := 0; i < ln; i++ {
		fiveEnd := make(plotter.Values, len(sets))
		threeEnd := make(plotter.Values, len(sets))
		for j := range sets {
			fiveEnd[j] = fiveEnds[j][i]
			threeEnd[j] = threeEnds[j][i]
		}

		boxFivePrime, err := plotter.NewBoxPlot(1, float64(i), fiveEnd) // A non-zero width is required to prevent the creation failing.
		if err != nil {
			return err
		}
		boxFivePrime.MedianStyle.Width = 0.5
		boxFivePrime.BoxStyle.Width = 0.75
		boxFivePrime.BoxStyle.Color = plotutil.Color(0)

		boxThreePrime, err := plotter.NewBoxPlot(1, float64(i), threeEnd) // A non-zero width is required to prevent the creation failing.
		if err != nil {
			return err
		}
		boxThreePrime.MedianStyle.Width = 0.5
		boxThreePrime.BoxStyle.Width = 0.75
		boxThreePrime.BoxStyle.Color = plotutil.Color(1)

		boxes = append(boxes, boxPair{boxFivePrime, boxThreePrime})

		p.Add(boxFivePrime, boxThreePrime)
	}

	p.Legend.Add("5'-end", &plotter.BarChart{Color: plotutil.Color(0)})
	p.Legend.Add("3'-end", &plotter.BarChart{Color: plotutil.Color(1)})
	p.Legend.Top = true
	p.NominalX(func() []string {
		n := make([]string, ln)
		for i := 0; i < ln; i++ {
			if v := i - maxLength; v%5 == 0 {
				n[i] = fmt.Sprint(v)
			}
		}
		return n
	}()...)
	p.X.Width = 0.5
	p.X.Tick.Width = 0.5
	p.X.Tick.Length = 8
	p.Add(&plotter.Grid{Vertical: plotter.DefaultGridLineStyle})

	c := vgsvg.New(vg.Centimeters(19), vg.Centimeters(10))
	da := plot.MakeDrawArea(c)
	trX, _ := p.Transforms(&da)
	w := ((trX(float64(2*maxLength)) - trX(float64(0))) / vg.Length(2*maxLength)) / 3

	for _, b := range boxes {
		b.five.Width = w
		b.five.Offset = -w / 2
		b.three.Width = w
		b.three.Offset = w / 2
	}

	p.Draw(da)

	f, err := os.Create(decorate(path, "boxplot.svg", filter))
	if err != nil {
		return err
	}
	defer f.Close()
	_, err = c.WriteTo(f)

	return err
}