// Draw the plotinum logo.
func Example_logo() *plot.Plot {
p, err := plot.New()
if err != nil {
panic(err)
}
plotter.DefaultLineStyle.Width = vg.Points(1)
plotter.DefaultGlyphStyle.Radius = vg.Points(3)
p.Y.Tick.Marker = plot.ConstantTicks([]plot.Tick{
{0, "0"}, {0.25, ""}, {0.5, "0.5"}, {0.75, ""}, {1, "1"},
})
p.X.Tick.Marker = plot.ConstantTicks([]plot.Tick{
{0, "0"}, {0.25, ""}, {0.5, "0.5"}, {0.75, ""}, {1, "1"},
})
pts := plotter.XYs{{0, 0}, {0, 1}, {0.5, 1}, {0.5, 0.6}, {0, 0.6}}
line := must(plotter.NewLine(pts)).(*plotter.Line)
scatter := must(plotter.NewScatter(pts)).(*plotter.Scatter)
p.Add(line, scatter)
pts = plotter.XYs{{1, 0}, {0.75, 0}, {0.75, 0.75}}
line = must(plotter.NewLine(pts)).(*plotter.Line)
scatter = must(plotter.NewScatter(pts)).(*plotter.Scatter)
p.Add(line, scatter)
pts = plotter.XYs{{0.5, 0.5}, {1, 0.5}}
line = must(plotter.NewLine(pts)).(*plotter.Line)
scatter = must(plotter.NewScatter(pts)).(*plotter.Scatter)
p.Add(line, scatter)
return p
}
// An example of making a histogram.
func Example_histogram() *plot.Plot {
rand.Seed(int64(0))
n := 10000
vals := make(plotter.Values, n)
for i := 0; i < n; i++ {
vals[i] = rand.NormFloat64()
}
p, err := plot.New()
if err != nil {
panic(err)
}
p.Title.Text = "Histogram"
h, err := plotter.NewHist(vals, 16)
if err != nil {
panic(err)
}
h.Normalize(1)
p.Add(h)
// The normal distribution function
norm := plotter.NewFunction(stdNorm)
norm.Color = color.RGBA{R: 255, A: 255}
norm.Width = vg.Points(2)
p.Add(norm)
return p
}
// Example_errBars draws points and error bars.
func Example_errBars() *plot.Plot {
type errPoints struct {
plotter.XYs
plotter.YErrors
plotter.XErrors
}
rand.Seed(int64(0))
n := 15
data := errPoints{
XYs: randomPoints(n),
YErrors: plotter.YErrors(randomError(n)),
XErrors: plotter.XErrors(randomError(n)),
}
p, err := plot.New()
if err != nil {
panic(err)
}
scatter := must(plotter.NewScatter(data)).(*plotter.Scatter)
scatter.Shape = plot.CrossGlyph{}
xerrs, err := plotter.NewXErrorBars(data)
if err != nil {
panic(err)
}
yerrs, err := plotter.NewYErrorBars(data)
if err != nil {
panic(err)
}
p.Add(scatter, xerrs, yerrs)
p.Add(plotter.NewGlyphBoxes())
return p
}
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_quartPlots draws vertical quartile plots.
func Example_quartPlots() *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 = "Quartile Plot"
p.Y.Label.Text = "plotter.Values"
p.Add(must(plotter.NewQuartPlot(0, uniform)).(*plotter.QuartPlot),
must(plotter.NewQuartPlot(1, normal)).(*plotter.QuartPlot),
must(plotter.NewQuartPlot(2, expon)).(*plotter.QuartPlot))
// 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_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
}
// Example_functions draws some functions.
func Example_functions() *plot.Plot {
p, err := plot.New()
if err != nil {
panic(err)
}
p.Title.Text = "Functions"
p.X.Label.Text = "X"
p.Y.Label.Text = "Y"
quad := plotter.NewFunction(func(x float64) float64 { return x * x })
quad.Color = color.RGBA{B: 255, A: 255}
exp := plotter.NewFunction(func(x float64) float64 { return math.Pow(2, x) })
exp.Dashes = []vg.Length{vg.Points(2), vg.Points(2)}
exp.Width = vg.Points(2)
exp.Color = color.RGBA{G: 255, A: 255}
sin := plotter.NewFunction(func(x float64) float64 { return 10*math.Sin(x) + 50 })
sin.Dashes = []vg.Length{vg.Points(4), vg.Points(5)}
sin.Width = vg.Points(4)
sin.Color = color.RGBA{R: 255, A: 255}
p.Add(quad, exp, sin)
p.Legend.Add("x^2", quad)
p.Legend.Add("2^x", exp)
p.Legend.Add("10*sin(x)+50", sin)
p.Legend.ThumbnailWidth = vg.Inches(0.5)
p.X.Min = 0
p.X.Max = 10
p.Y.Min = 0
p.Y.Max = 100
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
}
// 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
}
// An example of making a bar chart.
func Example_barChart() *plot.Plot {
groupA := plotter.Values{20, 35, 30, 35, 27}
groupB := plotter.Values{25, 32, 34, 20, 25}
groupC := plotter.Values{12, 28, 15, 21, 8}
groupD := plotter.Values{30, 42, 6, 9, 12}
p, err := plot.New()
if err != nil {
panic(err)
}
p.Title.Text = "Bar chart"
p.Y.Label.Text = "Heights"
w := vg.Points(8)
barsA := must(plotter.NewBarChart(groupA, w)).(*plotter.BarChart)
barsA.Color = color.RGBA{R: 255, A: 255}
barsA.Offset = -w / 2
barsB := must(plotter.NewBarChart(groupB, w)).(*plotter.BarChart)
barsB.Color = color.RGBA{R: 196, G: 196, A: 255}
barsB.Offset = w / 2
barsC := must(plotter.NewBarChart(groupC, w)).(*plotter.BarChart)
barsC.Color = color.RGBA{B: 255, A: 255}
barsC.XMin = 6
barsC.Offset = -w / 2
barsD := must(plotter.NewBarChart(groupD, w)).(*plotter.BarChart)
barsD.Color = color.RGBA{B: 255, R: 255, A: 255}
barsD.XMin = 6
barsD.Offset = w / 2
p.Add(barsA, barsB, barsC, barsD)
p.Legend.Add("A", barsA)
p.Legend.Add("B", barsB)
p.Legend.Add("C", barsC)
p.Legend.Add("D", barsD)
p.Legend.Top = true
p.NominalX("Zero", "One", "Two", "Three", "Four", "",
"Six", "Seven", "Eight", "Nine", "Ten")
return p
}
func ExampleErrorPoints() {
// Get some random data.
n, m := 5, 10
pts := make([]plotter.XYer, n)
for i := range pts {
xys := make(plotter.XYs, m)
pts[i] = xys
center := float64(i)
for j := range xys {
xys[j].X = center + (rand.Float64() - 0.5)
xys[j].Y = center + (rand.Float64() - 0.5)
}
}
plt, err := plot.New()
if err != nil {
panic(err)
}
mean95, err := NewErrorPoints(MeanAndConf95, pts...)
if err != nil {
panic(err)
}
medMinMax, err := NewErrorPoints(MedianAndMinMax, pts...)
if err != nil {
panic(err)
}
err = AddLinePoints(plt,
"mean and 95% confidence", mean95,
"median and minimum and maximum", medMinMax)
if err != nil {
panic(err)
}
if err := AddErrorBars(plt, mean95, medMinMax); err != nil {
panic(err)
}
if err := AddScatters(plt, pts[0], pts[1], pts[2], pts[3], pts[4]); err != nil {
panic(err)
}
plt.Save(4, 4, "centroids.png")
}
// Example_points draws some scatter points, a line,
// and a line with points.
func Example_points() *plot.Plot {
rand.Seed(int64(0))
n := 15
scatterData := randomPoints(n)
lineData := randomPoints(n)
linePointsData := randomPoints(n)
p, err := plot.New()
if err != nil {
panic(err)
}
p.Title.Text = "Points Example"
p.X.Label.Text = "X"
p.Y.Label.Text = "Y"
p.Add(plotter.NewGrid())
s := must(plotter.NewScatter(scatterData)).(*plotter.Scatter)
s.GlyphStyle.Color = color.RGBA{R: 255, B: 128, A: 255}
s.GlyphStyle.Radius = vg.Points(3)
l := must(plotter.NewLine(lineData)).(*plotter.Line)
l.LineStyle.Width = vg.Points(1)
l.LineStyle.Dashes = []vg.Length{vg.Points(5), vg.Points(5)}
l.LineStyle.Color = color.RGBA{B: 255, A: 255}
lpLine, lpPoints, err := plotter.NewLinePoints(linePointsData)
if err != nil {
panic(err)
}
lpLine.Color = color.RGBA{G: 255, A: 255}
lpPoints.Shape = plot.CircleGlyph{}
lpPoints.Color = color.RGBA{R: 255, A: 255}
p.Add(s, l, lpLine, lpPoints)
p.Legend.Add("scatter", s)
p.Legend.Add("line", l)
p.Legend.Add("line points", lpLine, lpPoints)
return p
}
func Example_bubbles() *plot.Plot {
rand.Seed(int64(0))
n := 10
bubbleData := randomTriples(n)
p, err := plot.New()
if err != nil {
panic(err)
}
p.Title.Text = "Bubbles"
p.X.Label.Text = "X"
p.Y.Label.Text = "Y"
bs, err := plotter.NewBubbles(bubbleData, vg.Points(1), vg.Points(20))
if err != nil {
panic(err)
}
bs.Color = color.RGBA{R: 196, B: 128, A: 255}
p.Add(bs)
return p
}
