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Function ExampleHistogram

plotter/histogram_example_test.go:19–56  ·  view source on GitHub ↗

An example of making a histogram.

()

Source from the content-addressed store, hash-verified

17
18// An example of making a histogram.
19func ExampleHistogram() {
20 rnd := rand.New(rand.NewPCG(1, 1))
21
22 // stdNorm returns the probability of drawing a
23 // value from a standard normal distribution.
24 stdNorm := func(x float64) float64 {
25 const sigma = 1.0
26 const mu = 0.0
27 const root2π = 2.50662827459517818309
28 return 1.0 / (sigma * root2π) * math.Exp(-((x-mu)*(x-mu))/(2*sigma*sigma))
29 }
30
31 n := 10000
32 vals := make(plotter.Values, n)
33 for i := range n {
34 vals[i] = rnd.NormFloat64()
35 }
36
37 p := plot.New()
38 p.Title.Text = "Histogram"
39 h, err := plotter.NewHist(vals, 16)
40 if err != nil {
41 log.Panic(err)
42 }
43 h.Normalize(1)
44 p.Add(h)
45
46 // The normal distribution function
47 norm := plotter.NewFunction(stdNorm)
48 norm.Color = color.RGBA{R: 255, A: 255}
49 norm.Width = vg.Points(2)
50 p.Add(norm)
51
52 err = p.Save(200, 200, "testdata/histogram.png")
53 if err != nil {
54 log.Panic(err)
55 }
56}
57
58func ExampleHistogram_logScaleY() {
59 p := plot.New()

Callers

nothing calls this directly

Calls 7

NewFunction · 0.92
NewHistFunction · 0.92
NewFunctionFunction · 0.92
PointsFunction · 0.92
SaveMethod · 0.80
NormalizeMethod · 0.65
AddMethod · 0.45

Tested by

no test coverage detected