Guides

Guide.annotation

using Gadfly, Compose
set_default_plot_size(14cm, 8cm)
plot(sin, 0, 2pi, Guide.annotation(compose(context(),
     Shape.circle([pi/2, 3*pi/2], [1.0, -1.0], [2mm]),
     fill(nothing), stroke("orange"))))
x -10 -8 -6 -4 -2 0 2 4 6 8 10 12 14 16 18 -8.0 -7.5 -7.0 -6.5 -6.0 -5.5 -5.0 -4.5 -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0 -10 0 10 20 -8.0 -7.5 -7.0 -6.5 -6.0 -5.5 -5.0 -4.5 -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 -3.0 -2.9 -2.8 -2.7 -2.6 -2.5 -2.4 -2.3 -2.2 -2.1 -2.0 -1.9 -1.8 -1.7 -1.6 -1.5 -1.4 -1.3 -1.2 -1.1 -1.0 -0.9 -0.8 -0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3.0 -4 -2 0 2 4 -3.0 -2.8 -2.6 -2.4 -2.2 -2.0 -1.8 -1.6 -1.4 -1.2 -1.0 -0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4 2.6 2.8 3.0 f(x)

Guide.colorkey

using Gadfly, RDatasets
set_default_plot_size(14cm, 8cm)
Dsleep = dataset("ggplot2", "msleep")[:,[:Vore,:BrainWt,:BodyWt,:SleepTotal]]
DataFrames.dropmissing!(Dsleep)
Dsleep.SleepTime = Dsleep.SleepTotal .> 8
plot(Dsleep, x=:BodyWt, y=:BrainWt, Geom.point, color=:SleepTime,
     Guide.colorkey(title="Sleep", labels=[">8","≤8"]),
     Scale.x_log10, Scale.y_log10 )
BodyWt 10-14 10-12 10-10 10-8 10-6 10-4 10-2 100 102 104 106 108 1010 1012 1014 10-12.0 10-11.5 10-11.0 10-10.5 10-10.0 10-9.5 10-9.0 10-8.5 10-8.0 10-7.5 10-7.0 10-6.5 10-6.0 10-5.5 10-5.0 10-4.5 10-4.0 10-3.5 10-3.0 10-2.5 10-2.0 10-1.5 10-1.0 10-0.5 100.0 100.5 101.0 101.5 102.0 102.5 103.0 103.5 104.0 104.5 105.0 105.5 106.0 106.5 107.0 107.5 108.0 108.5 109.0 109.5 1010.0 1010.5 1011.0 1011.5 1012.0 10-20 10-10 100 1010 1020 10-12.0 10-11.5 10-11.0 10-10.5 10-10.0 10-9.5 10-9.0 10-8.5 10-8.0 10-7.5 10-7.0 10-6.5 10-6.0 10-5.5 10-5.0 10-4.5 10-4.0 10-3.5 10-3.0 10-2.5 10-2.0 10-1.5 10-1.0 10-0.5 100.0 100.5 101.0 101.5 102.0 102.5 103.0 103.5 104.0 104.5 105.0 105.5 106.0 106.5 107.0 107.5 108.0 108.5 109.0 109.5 1010.0 1010.5 1011.0 1011.5 1012.0 >8 ≤8 Sleep h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? 10-10 10-9 10-8 10-7 10-6 10-5 10-4 10-3 10-2 10-1 100 101 102 103 104 105 106 107 10-9.0 10-8.8 10-8.6 10-8.4 10-8.2 10-8.0 10-7.8 10-7.6 10-7.4 10-7.2 10-7.0 10-6.8 10-6.6 10-6.4 10-6.2 10-6.0 10-5.8 10-5.6 10-5.4 10-5.2 10-5.0 10-4.8 10-4.6 10-4.4 10-4.2 10-4.0 10-3.8 10-3.6 10-3.4 10-3.2 10-3.0 10-2.8 10-2.6 10-2.4 10-2.2 10-2.0 10-1.8 10-1.6 10-1.4 10-1.2 10-1.0 10-0.8 10-0.6 10-0.4 10-0.2 100.0 100.2 100.4 100.6 100.8 101.0 101.2 101.4 101.6 101.8 102.0 102.2 102.4 102.6 102.8 103.0 103.2 103.4 103.6 103.8 104.0 104.2 104.4 104.6 104.8 105.0 105.2 105.4 105.6 105.8 106.0 10-10 10-5 100 105 1010 10-9.0 10-8.5 10-8.0 10-7.5 10-7.0 10-6.5 10-6.0 10-5.5 10-5.0 10-4.5 10-4.0 10-3.5 10-3.0 10-2.5 10-2.0 10-1.5 10-1.0 10-0.5 100.0 100.5 101.0 101.5 102.0 102.5 103.0 103.5 104.0 104.5 105.0 105.5 106.0 BrainWt
using Gadfly, Compose, RDatasets
set_default_plot_size(21cm, 8cm)
iris = dataset("datasets","iris")
pa = plot(iris, x=:SepalLength, y=:PetalLength, color=:Species, Geom.point,
          Theme(key_position=:inside) )
pb = plot(iris, x=:SepalLength, y=:PetalLength, color=:Species, Geom.point,
          Guide.colorkey(title="Iris", pos=[0.05w,-0.28h]) )
hstack(pa, pb)
SepalLength -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4 2.6 2.8 3.0 3.2 3.4 3.6 3.8 4.0 4.2 4.4 4.6 4.8 5.0 5.2 5.4 5.6 5.8 6.0 6.2 6.4 6.6 6.8 7.0 7.2 7.4 7.6 7.8 8.0 8.2 8.4 8.6 8.8 9.0 9.2 9.4 9.6 9.8 10.0 10.2 10.4 10.6 10.8 11.0 11.2 11.4 11.6 11.8 12.0 0 5 10 15 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? setosa versicolor virginica Iris -10 -8 -6 -4 -2 0 2 4 6 8 10 12 14 16 18 -8.0 -7.5 -7.0 -6.5 -6.0 -5.5 -5.0 -4.5 -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0 -10 0 10 20 -8.0 -7.5 -7.0 -6.5 -6.0 -5.5 -5.0 -4.5 -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0 PetalLength SepalLength -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4 2.6 2.8 3.0 3.2 3.4 3.6 3.8 4.0 4.2 4.4 4.6 4.8 5.0 5.2 5.4 5.6 5.8 6.0 6.2 6.4 6.6 6.8 7.0 7.2 7.4 7.6 7.8 8.0 8.2 8.4 8.6 8.8 9.0 9.2 9.4 9.6 9.8 10.0 10.2 10.4 10.6 10.8 11.0 11.2 11.4 11.6 11.8 12.0 0 5 10 15 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 setosa versicolor virginica Species h,j,k,l,arrows,drag to pan i,o,+,-,scroll,shift-drag to zoom r,dbl-click to reset c for coordinates ? for help ? -10 -8 -6 -4 -2 0 2 4 6 8 10 12 14 16 18 -8.0 -7.5 -7.0 -6.5 -6.0 -5.5 -5.0 -4.5 -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0 -10 0 10 20 -8.0 -7.5 -7.0 -6.5 -6.0 -5.5 -5.0 -4.5 -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0 PetalLength

Guide.manual_color_key, Guide.manual_discrete_key

using DataFrames, Gadfly, RDatasets
set_default_plot_size(21cm, 7cm)
points = DataFrame(index=rand(0:10,30), val=rand(1:10,30))
line = DataFrame(val=rand(1:10,11), index=collect(0:10))
p1 = plot(layer(points, x=:index, y=:val, color=[colorant"green"]),
    layer(line, x=:index, y=:val, Geom.line),
    Guide.manual_color_key("Legend", ["Points", "Line"], ["green", "deepskyblue"],
        shape=[Shape.circle, Shape.hline]))

D = groupby(dataset("COUNT", "titanicgrp"), :Class)
fn1(s,c) = 100*s./sum(c)
D = combine(D, :Age, :Sex, [:Survive, :Cases]=>fn1=>:prcnt)
p2 = plot(stack(D, [:Age, :Sex]), xgroup=:Class,
    Geom.subplot_grid(layer(x=:variable, y=:prcnt, color=:value, Geom.bar)),
    Scale.x_discrete, Guide.ylabel("Survival (% Class)"),
    Guide.manual_color_key("Age", ["children","adults"], 1:2),
    Guide.manual_color_key("Sex", ["female","male"], 3:4),
    Theme(bar_spacing=1mm, key_position=:none,
        key_swatch_shape=Shape.square, point_size=4pt))
hstack(p1, p2)
x by Class female male Sex children adults Age 3rd class 2nd class 1st class Age Sex Age Sex Age Sex -100 -80 -60 -40 -20 0 20 40 60 80 100 120 140 160 180 -80 -75 -70 -65 -60 -55 -50 -45 -40 -35 -30 -25 -20 -15 -10 -5 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 -100 0 100 200 -80 -75 -70 -65 -60 -55 -50 -45 -40 -35 -30 -25 -20 -15 -10 -5 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 Survival (% Class) index -15 -10 -5 0 5 10 15 20 25 -10.0 -9.5 -9.0 -8.5 -8.0 -7.5 -7.0 -6.5 -6.0 -5.5 -5.0 -4.5 -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0 16.5 17.0 17.5 18.0 18.5 19.0 19.5 20.0 -10 0 10 20 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Points Line Legend