violin
violin(x, y)
Draw a violin plot.
Arguments
x
: positions of the categoriesy
: variables whose density is computed
Plot type
The plot type alias for the violin
function is Violin
.
Examples
using CairoMakie
categories = rand(1:3, 1000)
values = randn(1000)
violin(categories, values)
![](/v0.21/assets/1159e21.Cz1mFZF6.png)
using CairoMakie
fig = Figure()
xs = vcat([fill(i, i * 1000) for i in 1:4]...)
ys = vcat(randn(6000), randn(4000) * 2)
for (i, scale) in enumerate([:area, :count, :width])
ax = Axis(fig[i, 1])
violin!(ax, xs, ys; scale, show_median=true)
Makie.xlims!(0.2, 4.8)
ax.title = "scale=:$(scale)"
end
fig
![](/v0.21/assets/12d4a5f.CUkihjFb.png)
using CairoMakie
categories = rand(1:3, 1000)
values = map(categories) do x
return x == 1 ? randn() : x == 2 ? 0.5 * randn() : 5 * rand()
end
violin(categories, values, datalimits = extrema)
![](/v0.21/assets/eb0df9a.CXZ36N5G.png)
using CairoMakie
N = 1000
categories = rand(1:3, N)
dodge = rand(1:2, N)
side = rand([:left, :right], N)
color = @. ifelse(side === :left, :orange, :teal)
values = map(side) do s
return s === :left ? randn() : rand()
end
violin(categories, values, dodge = dodge, side = side, color = color)
![](/v0.21/assets/5992d28.FEfyXniM.png)
using CairoMakie
N = 1000
categories = rand(1:3, N)
side = rand([:left, :right], N)
color = map(categories, side) do x, s
colors = s === :left ? [:red, :orange, :yellow] : [:blue, :teal, :cyan]
return colors[x]
end
values = map(side) do s
return s === :left ? randn() : rand()
end
violin(categories, values, side = side, color = color)
![](/v0.21/assets/fbaf0a2.CPbKMobD.png)
Using statistical weights
using CairoMakie
using Distributions
N = 100_000
categories = rand(1:3, N)
values = rand(Uniform(-1, 5), N)
w = pdf.(Normal(), categories .- values)
fig = Figure()
violin(fig[1,1], categories, values)
violin(fig[1,2], categories, values, weights = w)
fig
![](/v0.21/assets/bb4dfc8.N24iRoho.png)
Horizontal axis
using CairoMakie
fig = Figure()
categories = rand(1:3, 1000)
values = randn(1000)
ax_vert = Axis(fig[1,1];
xlabel = "categories",
ylabel = "values",
xticks = (1:3, ["one", "two", "three"])
)
ax_horiz = Axis(fig[1,2];
xlabel="values", # note that x/y still correspond to horizontal/vertical axes respectively
ylabel="categories",
yticks=(1:3, ["one", "two", "three"])
)
# Note: same order of category/value, despite different axes
violin!(ax_vert, categories, values) # `orientation=:vertical` is default
violin!(ax_horiz, categories, values; orientation=:horizontal)
fig
![](/v0.21/assets/3195683.BGX-av4O.png)
Attributes
bandwidth
Defaults to automatic
No docs available.
boundary
Defaults to automatic
No docs available.
clip_planes
Defaults to automatic
Clip planes offer a way to do clipping in 3D space. You can set a Vector of up to 8 Plane3f
planes here, behind which plots will be clipped (i.e. become invisible). By default clip planes are inherited from the parent plot or scene. You can remove parent clip_planes
by passing Plane3f[]
.
color
Defaults to @inherit patchcolor
No docs available.
cycle
Defaults to [:color => :patchcolor]
No docs available.
datalimits
Defaults to (-Inf, Inf)
Specify values to trim the violin
. Can be a Tuple
or a Function
(e.g. datalimits=extrema
).
depth_shift
Defaults to 0.0
adjusts the depth value of a plot after all other transformations, i.e. in clip space, where 0 <= depth <= 1
. This only applies to GLMakie and WGLMakie and can be used to adjust render order (like a tunable overdraw).
dodge
Defaults to automatic
No docs available.
dodge_gap
Defaults to 0.03
No docs available.
fxaa
Defaults to true
adjusts whether the plot is rendered with fxaa (anti-aliasing, GLMakie only).
gap
Defaults to 0.2
Shrinking factor, width -> width * (1 - gap)
.
inspectable
Defaults to true
sets whether this plot should be seen by DataInspector
.
inspector_clear
Defaults to automatic
Sets a callback function (inspector, plot) -> ...
for cleaning up custom indicators in DataInspector.
inspector_hover
Defaults to automatic
Sets a callback function (inspector, plot, index) -> ...
which replaces the default show_data
methods.
inspector_label
Defaults to automatic
Sets a callback function (plot, index, position) -> string
which replaces the default label generated by DataInspector.
max_density
Defaults to automatic
No docs available.
mediancolor
Defaults to @inherit linecolor
No docs available.
medianlinewidth
Defaults to @inherit linewidth
No docs available.
model
Defaults to automatic
Sets a model matrix for the plot. This overrides adjustments made with translate!
, rotate!
and scale!
.
n_dodge
Defaults to automatic
No docs available.
npoints
Defaults to 200
No docs available.
orientation
Defaults to :vertical
Orientation of the violins (:vertical
or :horizontal
)
overdraw
Defaults to false
Controls if the plot will draw over other plots. This specifically means ignoring depth checks in GL backends
scale
Defaults to :area
Scale density by area (:area
), count (:count
), or width (:width
).
show_median
Defaults to false
Show median as midline.
side
Defaults to :both
Specify :left
or :right
to only plot the violin on one side.
space
Defaults to :data
sets the transformation space for box encompassing the plot. See Makie.spaces()
for possible inputs.
ssao
Defaults to false
Adjusts whether the plot is rendered with ssao (screen space ambient occlusion). Note that this only makes sense in 3D plots and is only applicable with fxaa = true
.
strokecolor
Defaults to @inherit patchstrokecolor
No docs available.
strokewidth
Defaults to @inherit patchstrokewidth
No docs available.
transformation
Defaults to automatic
No docs available.
transparency
Defaults to false
Adjusts how the plot deals with transparency. In GLMakie transparency = true
results in using Order Independent Transparency.
visible
Defaults to true
Controls whether the plot will be rendered or not.
weights
Defaults to automatic
vector of statistical weights (length of data). By default, each observation has weight 1
.
width
Defaults to automatic
Width of the box before shrinking.