violin

Makie.violin Function

violin(x, y)

Draw a violin plot.

Arguments

• x: positions of the categories

• y: variables whose density is computed

Plot type

The plot type alias for the violin function is Violin.

source

Examples

using CairoMakie
categories = rand(1:3, 1000)
values = randn(1000)

violin(categories, values)

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

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)

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)

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)

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

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

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.