Пример #1
0
// 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 = plot.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
}
Пример #2
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
}
Пример #3
0
// 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
}
Пример #4
0
func test_point() {
	rand.Seed(int64(0))
	points_data := randomPoint(200)
	points_data2 := randomPoint(50)
	p, err := plot.New()
	if err != nil {
		panic(err)
	}

	p.Title.Text = "Points"
	p.X.Label.Text = "X"
	p.Y.Label.Text = "Y"

	bs, _ := plotter.NewBubbles(points_data, vg.Points(5), vg.Points(5))
	bs2, _ := plotter.NewBubbles(points_data2, vg.Points(5), vg.Points(5))

	bs.Color = color.RGBA{R: 255, G: 0, B: 0, A: 255}
	bs2.Color = color.RGBA{R: 0, G: 255, B: 0, A: 255}
	p.Add(bs)
	p.Add(bs2)

	if err := p.Save(10, 10, "points.png"); err != nil {
		panic(err)
	}
}
Пример #5
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
}
Пример #6
0
// 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
}
Пример #7
0
// 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:      TextStyle{Font: font},
	}, nil
}
Пример #8
0
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
}
Пример #9
0
// 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 {
	b := new(BoxPlot)
	b.Location = loc
	b.Width = w
	b.CapWidth = 3 * w / 4
	b.GlyphStyle = DefaultGlyphStyle
	b.BoxStyle = DefaultLineStyle
	b.MedianStyle = DefaultLineStyle
	b.WhiskerStyle = plot.LineStyle{
		Width:  vg.Points(0.5),
		Dashes: []vg.Length{vg.Points(4), vg.Points(2)},
	}

	b.Values = CopyValues(values)
	sorted := CopyValues(values)
	sort.Float64s(sorted)
	if len(sorted) == 0 {
		b.Width = 0
		b.GlyphStyle.Radius = 0
		b.BoxStyle.Width = 0
		b.MedianStyle.Width = 0
		b.WhiskerStyle.Width = 0
		return b
	} else if len(sorted) == 1 {
		b.Median = sorted[0]
		b.Quartile1 = sorted[0]
		b.Quartile3 = sorted[0]
	} else {
		b.Median = median(sorted)
		b.Quartile1 = median(sorted[:len(sorted)/2])
		b.Quartile3 = median(sorted[len(sorted)/2:])
	}
	b.Min = sorted[0]
	b.Max = sorted[len(sorted)-1]

	low := b.Quartile1 - 1.5*(b.Quartile3-b.Quartile1)
	high := b.Quartile3 + 1.5*(b.Quartile3-b.Quartile1)
	b.AdjLow = math.Inf(1)
	b.AdjHigh = math.Inf(-1)
	for i, v := range b.Values {
		if v > high || v < low {
			b.Outside = append(b.Outside, i)
			continue
		}
		if v < b.AdjLow {
			b.AdjLow = v
		}
		if v > b.AdjHigh {
			b.AdjHigh = v
		}
	}

	return b
}
Пример #10
0
func linesPlot() *plot.Plot {
	// Get some random points
	rand.Seed(int64(0))
	n := 10
	scatterData := randomPoints(n)
	lineData := randomPoints(n)
	linePointsData := randomPoints(n)

	// Create a new plot, set its title and
	// axis labels.
	p, err := plot.New()
	if err != nil {
		panic(err)
	}
	p.Title.Text = "Points Example"
	p.X.Label.Text = "X"
	p.Y.Label.Text = "Y"
	// Draw a grid behind the data
	p.Add(plotter.NewGrid())

	// Make a scatter plotter and set its style.
	s, err := plotter.NewScatter(scatterData)
	if err != nil {
		panic(err)
	}
	s.GlyphStyle.Color = color.RGBA{R: 255, B: 128, A: 255}

	// Make a line plotter and set its style.
	l, err := plotter.NewLine(lineData)
	if err != nil {
		panic(err)
	}
	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}

	// Make a line plotter with points and set its style.
	lpLine, lpPoints, err := plotter.NewLinePoints(linePointsData)
	if err != nil {
		panic(err)
	}
	lpLine.Color = color.RGBA{G: 255, A: 255}
	lpPoints.Shape = plot.PyramidGlyph{}
	lpPoints.Color = color.RGBA{R: 255, A: 255}

	// Add the plotters to the plot, with a legend
	// entry for each
	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
}
Пример #11
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 := 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
}
Пример #12
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 := plotter.NewBoxPlot(vg.Points(20), 0, uniform)
	uniLabels, err := uniBox.OutsideLabels(uniform)
	if err != nil {
		panic(err)
	}

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

	expBox := 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)

	// 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
}
Пример #13
0
func histPlot() *plot.Plot {
	// Draw some random values from the standard
	// normal distribution.
	rand.Seed(int64(0))
	v := make(plotter.Values, 1000)
	for i := range v {
		v[i] = rand.NormFloat64()
	}

	// Make a plot and set its title.
	p, err := plot.New()
	if err != nil {
		panic(err)
	}
	p.Title.Text = "Histogram"

	// Create a histogram of our values drawn
	// from the standard normal.
	h, err := plotter.NewHist(v, 16)
	if err != nil {
		panic(err)
	}
	// Normalize the area under the histogram to
	// sum to one.
	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
}
Пример #14
0
func plotData(name string, xs, ys []float64) {
	p, err := plot.New()
	if err != nil {
		fmt.Printf("Cannot create new plot: %s\n", err)
		return
	}
	p.Title.Text = "Chernoff lower bound"
	p.X.Label.Text = "Sigma"
	p.X.Min = 0.2
	p.X.Max = 0.5
	p.Y.Label.Text = "Probability of correct detection"
	p.Y.Min = 0.9
	p.Y.Max = 1.0
	p.Add(plotter.NewGrid())

	l := plotter.NewLine(dataset(xs, ys))
	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}

	p.Add(l)
	if err := p.Save(4, 4, name); err != nil {
		fmt.Printf("Save to '%s' failed: %s\n", name, err)
	}
}
Пример #15
0
func plotData(name string, us, ys, ts, fs []float64) {
	p, err := plot.New()
	if err != nil {
		fmt.Printf("Cannot create new plot: %s\n", err)
		return
	}
	p.Title.Text = "Least-square fit of convex function"
	p.X.Min = -0.1
	p.X.Max = 2.3
	p.Y.Min = -1.1
	p.Y.Max = 7.2
	p.Add(plotter.NewGrid())

	pts := plotter.NewScatter(dataset(us, ys))
	pts.GlyphStyle.Color = color.RGBA{R: 255, A: 255}

	fit := plotter.NewLine(dataset(ts, fs))
	fit.LineStyle.Width = vg.Points(1)
	fit.LineStyle.Color = color.RGBA{B: 255, A: 255}

	p.Add(pts)
	p.Add(fit)
	if err := p.Save(4, 4, name); err != nil {
		fmt.Printf("Save to '%s' failed: %s\n", name, err)
	}
}
Пример #16
0
// crosshair draws a plus at the given point.
func crosshair(img draw.Image, x, y int, str string) {
	c := vgimg.NewImage(img)

	// drawPlots here because NewImage
	// clears the canvas.  Instead, the canvas
	// should just be stored instead of being
	// recreated at each redraw.
	drawPlots(img)

	c.SetColor(color.RGBA{R: 255, A: 255})

	xc := vg.Inches(float64(x) / c.DPI())
	yc := vg.Inches(float64(y) / c.DPI())
	radius := vg.Points(5)

	var p vg.Path
	p.Move(xc-radius, yc)
	p.Line(xc+radius, yc)
	c.Stroke(p)

	p = vg.Path{}
	p.Move(xc, yc+radius)
	p.Line(xc, yc-radius)
	c.Stroke(p)

	c.SetColor(color.Black)
	c.FillString(font, vg.Length(0), vg.Length(0), str)
}
Пример #17
0
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
}
Пример #18
0
// 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
}
Пример #19
0
// DrawGlyph implements the Glyph interface.
func (RingGlyph) DrawGlyph(da *DrawArea, sty GlyphStyle, pt Point) {
	da.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()
	da.Stroke(p)
}
Пример #20
0
func main() {
	fmt.Println("Running...")
	start := time.Now()

	count := 0
	pt = make([]plotter.XYs, 0)
	for n := nMin; n <= nMax; n *= 2 {
		y1 = make([]float64, n)
		y2 = make([]float64, n)
		pt = append(pt, make(plotter.XYs, n))

		y1[0] = 1.0
		y2[0] = 3.0
		h = (tMax - tMin) / float64(n-1)

		for i := 1; i < n; i++ {
			y1[i] = y1[i-1] + 2*y1[i-1]*(1-y2[i-1])*h
			y2[i] = y2[i-1] - y2[i-1]*(1-y1[i-1])*h
		}

		for i := 0; i < n; i++ {
			pt[count][i].X = y1[i]
			pt[count][i].Y = y2[i]
		}
		count++
	}
	p, err := plot.New()
	if err != nil {
		panic(err)
	}
	p.Title.Text = fmt.Sprintf("Enright and Pryce #B1:Euler")
	p.Y.Label.Text = "y2(t)"
	p.X.Label.Text = "y1(t)"

	n := nMin
	for i := 0; i < count; i++ {
		l := plotter.NewLine(pt[i])
		l.LineStyle.Width = vg.Points(1)
		l.LineStyle.Color = color.RGBA{R: 255 / uint8(i+1), G: 255 / uint8(i+1),
			B: 255 / uint8(i+1), A: 255}
		p.Add(l)
		n *= 2
	}
	p.X.Min = 0
	p.X.Max = 6.5
	p.Y.Min = 0
	p.Y.Max = 6.5

	// Save the plot to a PNG file.
	if err := p.Save(6, 6, "euler_test.png"); err != nil {
		panic(err)
	}

	fmt.Println(time.Since(start))
	fmt.Println("...program terminated successfully!")
}
Пример #21
0
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 := plotter.NewBubbles(bubbleData, vg.Points(1), vg.Points(20))
	bs.Color = color.RGBA{R: 196, B: 128, A: 255}
	p.Add(bs)

	return p
}
Пример #22
0
func LineStyle(color color.RGBA, width float64, dashes ...[]vg.Length) plot.LineStyle {
	ls := plot.LineStyle{
		Color: color,
		Width: vg.Points(width),
	}
	if len(dashes) != 0 {
		ls.Dashes = dashes[0]
	}
	return ls
}
Пример #23
0
// DrawGlyph implements the Glyph interface.
func (TriangleGlyph) DrawGlyph(da *DrawArea, sty GlyphStyle, pt Point) {
	da.SetLineStyle(LineStyle{Color: sty.Color, Width: vg.Points(0.5)})
	r := sty.Radius + (sty.Radius-sty.Radius*sinπover6)/2
	var p vg.Path
	p.Move(pt.X, pt.Y+r)
	p.Line(pt.X-r*cosπover6, pt.Y-r*sinπover6)
	p.Line(pt.X+r*cosπover6, pt.Y-r*sinπover6)
	p.Close()
	da.Stroke(p)
}
Пример #24
0
// DrawGlyph implements the Glyph interface.
func (SquareGlyph) DrawGlyph(da *DrawArea, sty GlyphStyle, pt Point) {
	da.SetLineStyle(LineStyle{Color: sty.Color, Width: vg.Points(0.5)})
	x := (sty.Radius-sty.Radius*cosπover4)/2 + sty.Radius*cosπover4
	var p vg.Path
	p.Move(pt.X-x, pt.Y-x)
	p.Line(pt.X+x, pt.Y-x)
	p.Line(pt.X+x, pt.Y+x)
	p.Line(pt.X-x, pt.Y+x)
	p.Close()
	da.Stroke(p)
}
Пример #25
0
// 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
}
Пример #26
0
// DrawGlyph implements the Glyph interface.
func (CrossGlyph) DrawGlyph(da *DrawArea, sty GlyphStyle, pt Point) {
	da.SetLineStyle(LineStyle{Color: sty.Color, Width: vg.Points(0.5)})
	r := sty.Radius * cosπover4
	var p vg.Path
	p.Move(pt.X-r, pt.Y-r)
	p.Line(pt.X+r, pt.Y+r)
	da.Stroke(p)
	p = vg.Path{}
	p.Move(pt.X-r, pt.Y+r)
	p.Line(pt.X+r, pt.Y-r)
	da.Stroke(p)
}
Пример #27
0
// 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
}
Пример #28
0
// DrawFonts draws some text in all of the various
// fonts along with a box to make sure that their
// sizes are computed correctly.
func DrawFonts(c vg.Canvas) {
	y := vg.Points(0)
	var fonts []string
	for fname := range vg.FontMap {
		fonts = append(fonts, fname)
	}
	sort.Strings(fonts)
	for _, fname := range fonts {
		font, err := vg.MakeFont(fname, 20)
		if err != nil {
			panic(err)
		}

		w := font.Width(fname + "Xqg")
		h := font.Extents().Ascent

		c.FillString(font, 0, y-font.Extents().Descent, fname+"Xqg")
		fmt.Println(fname)

		var path vg.Path
		path.Move(0, y+h)
		path.Line(w, y+h)
		path.Line(w, y)
		path.Line(0, y)
		path.Close()
		c.Stroke(path)

		path = vg.Path{}
		c.SetColor(color.RGBA{B: 255, A: 255})
		c.SetLineDash([]vg.Length{vg.Points(5), vg.Points(3)}, 0)
		path.Move(0, y-font.Extents().Descent)
		path.Line(w, y-font.Extents().Descent)
		c.Stroke(path)
		c.SetColor(color.Black)
		c.SetLineDash([]vg.Length{}, 0)

		y += h
	}
}
Пример #29
0
func test2() {
	rand.Seed(int64(0))
	n := 100
	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(5), vg.Points(5))
	if err != nil {
		panic(err)
	}
	bs.Color = color.RGBA{R: 196, B: 128, A: 255}
	p.Add(bs)

	if err := p.Save(10, 5, "bubble.png"); err != nil {
		panic(err)
	}
}
Пример #30
0
func main() {
	ps[0].plot = linesPlot()
	ps[1].plot = histPlot()

	var err error
	font, err = vg.MakeFont("Times-Roman", vg.Points(12))
	if err != nil {
		panic(err)
	}

	win, err := x11.NewWindow()
	if err != nil {
		panic(err)
	}

	drawPlots(win.Screen())
	win.FlushImage()

	if cpuProfile != "" {
		f, err := os.Create(cpuProfile)
		if err != nil {
			panic(err)
		}
		pprof.StartCPUProfile(f)
		defer pprof.StopCPUProfile()
	}
	if memProfile != "" {
		f, err := os.Create(memProfile)
		if err != nil {
			panic(err)
		}
		pprof.WriteHeapProfile(f)
		f.Close()
	}

	events := win.EventChan()
	for ev := range events {
		if m, ok := ev.(ui.MouseEvent); ok && m.Buttons == 1 {
			winHeight := 600 // hard-coded for ui/x11…
			p, x, y := dataCoord(m.Loc.X, winHeight-m.Loc.Y)
			if p >= 0 {
				str := fmt.Sprintf("plot: %d, coord: %g, %g\n", p, x, y)
				crosshair(win.Screen(), m.Loc.X, winHeight-m.Loc.Y, str)
				win.FlushImage()
			}
		}
	}
}