Golang vg.Points函数代码示例

// Example_groupedHorizontalBoxPlots draws vertical boxplots.
func Example_groupedHorizontalBoxPlots() *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 y := 0.0; y < 3.0; y++ {
		b0 := must(plotter.MakeHorizBoxPlot(w, y, uniform)).(plotter.HorizBoxPlot)
		b0.Offset = -w - vg.Points(3)
		b1 := must(plotter.MakeHorizBoxPlot(w, y, normal)).(plotter.HorizBoxPlot)
		b2 := must(plotter.MakeHorizBoxPlot(w, y, expon)).(plotter.HorizBoxPlot)
		b2.Offset = w + vg.Points(3)
		p.Add(b0, b1, b2)
	}
	p.NominalY("Group 0", "Group 1", "Group 2")
	return p
}

// 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
}

// 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
}

// 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
}

// Plot plots only 2-dimensional cluster and points
func (em EM) Plot(fileid int, directory string) {
	p, err := plot.New()
	if err != nil {
		panic(err)
	}
	p.Title.Text = "EM-Algorithm Plot"
	p.X.Label.Text = "X"
	p.Y.Label.Text = "Y"
	bs, err := plotter.NewBubbles(em.clusterTriples(), vg.Points(30), vg.Points(80))
	if err != nil {
		panic(err)
	}
	bs.Color = color.RGBA{R: 255, B: 255, A: 255}
	p.Add(bs)

	ss, err := plotter.NewScatter(em.dataTriples())
	if err != nil {
		panic(err)
	}
	ss.Color = color.Black
	p.Add(ss)

	filename := directory + fmt.Sprintf("%03d", fileid) + ".png"
	if err := p.Save(10*vg.Inch, 10*vg.Inch, filename); err != nil {
		panic(err)
	}
}

// NewBoxPlot returns a new BoxPlot that represents
// the distribution of the given values.  The style of
// the box plot is that used for Tukey's schematic
// plots is ``Exploratory Data Analysis.''
//
// An error is returned if the boxplot is created with
// no values.
//
// The fence values are 1.5x the interquartile before
// the first quartile and after the third quartile.  Any
// value that is outside of the fences are drawn as
// Outside points.  The adjacent values (to which the
// whiskers stretch) are the minimum and maximum
// values that are not outside the fences.
func NewBoxPlot(w vg.Length, loc float64, values Valuer) (*BoxPlot, error) {
	if w < 0 {
		return nil, errors.New("Negative boxplot width")
	}

	b := new(BoxPlot)
	var err error
	if b.fiveStatPlot, err = newFiveStat(w, loc, values); err != nil {
		return nil, err
	}

	b.Width = w
	b.CapWidth = 3 * w / 4

	b.GlyphStyle = DefaultGlyphStyle
	b.BoxStyle = DefaultLineStyle
	b.MedianStyle = DefaultLineStyle
	b.WhiskerStyle = draw.LineStyle{
		Width:  vg.Points(0.5),
		Dashes: []vg.Length{vg.Points(4), vg.Points(2)},
	}

	if len(b.Values) == 0 {
		b.Width = 0
		b.GlyphStyle.Radius = 0
		b.BoxStyle.Width = 0
		b.MedianStyle.Width = 0
		b.WhiskerStyle.Width = 0
	}

	return b, nil
}

// makeLegend returns a legend with the default
// parameter settings.
func makeLegend() (Legend, error) {
	font, err := vg.MakeFont(DefaultFont, vg.Points(12))
	if err != nil {
		return Legend{}, err
	}
	return Legend{
		ThumbnailWidth: vg.Points(20),
		TextStyle:      draw.TextStyle{Font: font},
	}, nil
}

func DataTableToPng(b *bytes.Buffer, dt *db.DataTable, title string, width, height float64, xLabel string) error {
	p, err := plot.New()
	if err != nil {
		return err
	}

	p.Title.Text = title
	p.X.Label.Text = xLabel
	p.Y.Label.Text = "msec" // TODO: Fix this.

	// TODO: need new ticker function to handle equalX (while keeping xLabel as selected)
	if xLabel == common.TimeName {
		p.X.Tick.Marker = TimeTicks
	}
	p.Legend.Top = true

	numColumns := len(dt.ColumnNames)
	lines := make([]plotter.XYs, numColumns-1) // Skip X column.

	for _, dRow := range dt.Data {
		xp := (*dRow)[0]
		if xp != nil {
			for col := 1; col < numColumns; col++ { // Skip X column.
				yp := (*dRow)[col]
				if yp != nil {
					lines[col-1] = append(lines[col-1], struct{ X, Y float64 }{X: *xp, Y: *yp})
				}
			}
		}
	}

	colorList := getColors(numColumns - 1) // Skip X column.

	for i, line := range lines {
		columnName := dt.ColumnNames[i+1]
		l, err := plotter.NewLine(line)
		if err != nil {
			return err
		}
		if strings.Index(columnName, common.RegressNamePrefix) == 0 { // If regression value.
			l.LineStyle.Color = color.RGBA{255, 0, 0, 255}
			l.LineStyle.Width = vg.Points(2.0)
		} else {
			l.LineStyle.Color = colorList[i]
			l.LineStyle.Width = vg.Points(1.5)
		}
		p.Add(l)
		p.Legend.Add(columnName, l)
	}

	tPng := time.Now()
	drawPng(b, p, width, height)
	glog.V(3).Infof("PERF: makePng time: %v", time.Now().Sub(tPng))
	return nil
}

// Draw the plot logo.
func Example() {
	p, err := plot.New()
	if err != nil {
		log.Panic(err)
	}

	DefaultLineStyle.Width = vg.Points(1)
	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 := XYs{{0, 0}, {0, 1}, {0.5, 1}, {0.5, 0.6}, {0, 0.6}}
	line, err := NewLine(pts)
	if err != nil {
		log.Panic(err)
	}
	scatter, err := NewScatter(pts)
	if err != nil {
		log.Panic(err)
	}
	p.Add(line, scatter)

	pts = XYs{{1, 0}, {0.75, 0}, {0.75, 0.75}}
	line, err = NewLine(pts)
	if err != nil {
		log.Panic(err)
	}
	scatter, err = NewScatter(pts)
	if err != nil {
		log.Panic(err)
	}
	p.Add(line, scatter)

	pts = XYs{{0.5, 0.5}, {1, 0.5}}
	line, err = NewLine(pts)
	if err != nil {
		log.Panic(err)
	}
	scatter, err = NewScatter(pts)
	if err != nil {
		log.Panic(err)
	}
	p.Add(line, scatter)

	err = p.Save(100, 100, "testdata/plotLogo.png")
	if err != nil {
		log.Panic(err)
	}
}

// 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 := must(plotter.MakeHorizBoxPlot(vg.Points(20), 0, uniform)).(plotter.HorizBoxPlot)
	uniLabels, err := uniBox.OutsideLabels(uniform)
	if err != nil {
		panic(err)
	}

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

	expBox := must(plotter.MakeHorizBoxPlot(vg.Points(20), 2, expon)).(plotter.HorizBoxPlot)
	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
}

func main() {
	var levels []float64
	for l := 100.5; l < volcano.Matrix.(*mat64.Dense).Max(); l += 5 {
		levels = append(levels, l)
	}
	c := plotter.NewContour(volcano, levels, palette.Rainbow(len(levels), (palette.Yellow+palette.Red)/2, palette.Blue, 1, 1, 1))
	quarterStyle := draw.LineStyle{
		Color:  color.Black,
		Width:  vg.Points(0.5),
		Dashes: []vg.Length{0.2, 0.4},
	}
	halfStyle := draw.LineStyle{
		Color:  color.Black,
		Width:  vg.Points(0.5),
		Dashes: []vg.Length{5, 2, 1, 2},
	}
	c.LineStyles = append(c.LineStyles, quarterStyle, halfStyle, quarterStyle)

	h := plotter.NewHeatMap(volcano, palette.Heat(len(levels)*2, 1))

	p, err := plot.New()
	if err != nil {
		panic(err)
	}
	p.Title.Text = "Maunga Whau Volcano"

	p.Add(h)
	p.Add(c)

	p.X.Padding = 0
	p.Y.Padding = 0
	_, p.X.Max, _, p.Y.Max = h.DataRange()

	name := "example_volcano"

	for _, ext := range []string{
		".eps",
		".pdf",
		".svg",
		".png",
		".tiff",
		".jpg",
	} {
		if err := p.Save(4, 4, name+ext); err != nil {
			panic(err)
		}
	}
}

func Example_groupedQuartPlots() *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.NewQuartPlot(x, uniform)).(*plotter.QuartPlot)
		b0.Offset = -w
		b1 := must(plotter.NewQuartPlot(x, normal)).(*plotter.QuartPlot)
		b2 := must(plotter.NewQuartPlot(x, expon)).(*plotter.QuartPlot)
		b2.Offset = w
		p.Add(b0, b1, b2)
	}
	p.Add(plotter.NewGlyphBoxes())

	p.NominalX("Group 0", "Group 1", "Group 2")
	return p
}

// CreateImage creates graph of nyanpass
func (n *Nyanpass) CreateImage(fileName string) error {
	if n.Counts == nil {
		return errors.New("Count is not defined.")
	}

	p, err := plot.New()
	if err != nil {
		return err
	}

	bar, err := plotter.NewBarChart(n.Counts, vg.Points(30))
	if err != nil {
		return err
	}
	bar.LineStyle.Width = vg.Length(0)
	bar.Color = plotutil.Color(2)

	p.Add(bar)
	p.Title.Text = "Nyanpass Graph"
	p.X.Label.Text = "Days"
	p.Y.Label.Text = "Nyanpass count"
	p.NominalX(n.labels...)
	p.Y.Tick.Marker = RelabelTicks{}

	if err := p.Save(6*vg.Inch, 6*vg.Inch, fileName); err != nil {
		return err
	}
	n.imagePath = fileName
	return nil
}

// 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
}

// DrawGlyph implements the Glyph interface.
func (RingGlyph) DrawGlyph(c *Canvas, sty GlyphStyle, pt Point) {
	c.SetLineStyle(LineStyle{Color: sty.Color, Width: vg.Points(0.5)})
	var p vg.Path
	p.Move(pt.X+sty.Radius, pt.Y)
	p.Arc(pt.X, pt.Y, sty.Radius, 0, 2*math.Pi)
	p.Close()
	c.Stroke(p)
}