Skip to content

density

Makie.density Function
julia
density(values)

Plot a kernel density estimate of values.

Plot type

The plot type alias for the density function is Density.

source

Examples

julia
using CairoMakie
f = Figure()
Axis(f[1, 1])

density!(randn(200))
density!(randn(200) .+ 2, alpha = 0.8)

f
julia
using CairoMakie
f = Figure()
Axis(f[1, 1])

density!(randn(200), direction = :y, npoints = 10)

f
julia
using CairoMakie
f = Figure()
Axis(f[1, 1])

density!(randn(200), color = (:red, 0.3),
    strokecolor = :red, strokewidth = 3, strokearound = true)

f
julia
using CairoMakie
f = Figure()
Axis(f[1, 1])

vectors = [randn(1000) .+ i/2 for i in 0:5]

for (i, vector) in enumerate(vectors)
    density!(vector, offset = -i/4, color = (:slategray, 0.4),
        bandwidth = 0.1)
end

f

Gradients

You can color density plots with gradients by choosing color = :x or :y, depending on the direction attribute.

julia
using CairoMakie
months = ["January", "February", "March", "April",
    "May", "June", "July", "August", "September",
    "October", "November", "December"]

f = Figure()
Axis(f[1, 1], title = "Fictive temperatures",
    yticks = ((1:12) ./ 4,  reverse(months)))

for i in 12:-1:1
    d = density!(randn(200) .- 2sin((i+3)/6*pi), offset = i / 4,
        color = :x, colormap = :thermal, colorrange = (-5, 5),
        strokewidth = 1, strokecolor = :black)
    # this helps with layering in GLMakie
    translate!(d, 0, 0, -0.1i)
end
f

Due to technical limitations, if you color the :vertical dimension (or :horizontal with direction = :y), only a colormap made with just two colors can currently work:

julia
using CairoMakie
f = Figure()
Axis(f[1, 1])
for x in 1:5
    d = density!(x * randn(200) .+ 3x,
        color = :y, colormap = [:darkblue, :gray95])
end
f

Using statistical weights

julia
using CairoMakie
using Distributions


N = 100_000
x = rand(Uniform(-2, 2), N)

w = pdf.(Normal(), x)

fig = Figure()
density(fig[1,1], x)
density(fig[1,2], x, weights = w)

fig

Attributes

alpha

Defaults to 1.0

The alpha value of the colormap or color attribute. Multiple alphas like in plot(alpha=0.2, color=(:red, 0.5), will get multiplied.

bandwidth

Defaults to automatic

Kernel density bandwidth, determined automatically if automatic.

boundary

Defaults to automatic

Boundary of the density estimation, determined automatically if automatic.

clip_planes

Defaults to @inherit clip_planes 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

Sets the color of the density plot. This is usually a single color, but can also be :x or :y to color with a gradient.

colormap

Defaults to @inherit colormap :viridis

Sets the colormap that is sampled for numeric colors. PlotUtils.cgrad(...), Makie.Reverse(any_colormap) can be used as well, or any symbol from ColorBrewer or PlotUtils. To see all available color gradients, you can call Makie.available_gradients().

colorrange

Defaults to automatic

The values representing the start and end points of colormap.

colorscale

Defaults to identity

The color transform function. Can be any function, but only works well together with Colorbar for identity, log, log2, log10, sqrt, logit, Makie.pseudolog10, Makie.Symlog10, Makie.AsinhScale, Makie.SinhScale, Makie.LogScale, Makie.LuptonAsinhScale, and Makie.PowerScale.

cycle

Defaults to [:color => :patchcolor]

Sets which attributes to cycle when creating multiple plots. The values to cycle through are defined by the parent Theme. Multiple cycled attributes can be set by passing a vector. Elements can

  • directly refer to a cycled attribute, e.g. :color

  • map a cycled attribute to a palette attribute, e.g. :linecolor => :color

  • map multiple cycled attributes to a palette attribute, e.g. [:linecolor, :markercolor] => :color

depth_shift

Defaults to 0.0

Adjusts the depth value of a plot after all other transformations, i.e. in clip space, where -1 <= depth <= 1. This only applies to GLMakie and WGLMakie and can be used to adjust render order (like a tunable overdraw).

direction

Defaults to :x

The dimension along which the values are distributed. Can be :x or :y.

fxaa

Defaults to true

Adjusts whether the plot is rendered with fxaa (fast approximate anti-aliasing, GLMakie only). Note that some plots implement a better native anti-aliasing solution (scatter, text, lines). For them fxaa = true generally lowers quality. Plots that show smoothly interpolated data (e.g. image, surface) may also degrade in quality as fxaa = true can cause blurring.

highclip

Defaults to automatic

The color for any value above the colorrange.

inspectable

Defaults to @inherit inspectable

Sets whether this plot should be seen by DataInspector. The default depends on the theme of the parent scene.

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.

linestyle

Defaults to nothing

Sets the line pattern of the density outline.

lowclip

Defaults to automatic

The color for any value below the colorrange.

model

Defaults to automatic

Sets a model matrix for the plot. This overrides adjustments made with translate!, rotate! and scale!.

nan_color

Defaults to :transparent

The color for NaN values.

npoints

Defaults to 200

The resolution of the estimated curve along the dimension set in direction.

offset

Defaults to 0.0

Shift the density baseline, for layering multiple densities on top of each other.

overdraw

Defaults to false

Controls if the plot will draw over other plots. This specifically means ignoring depth checks in GL backends

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.

strokearound

Defaults to false

Controls whether the outline only draws around the complete density (true) or just the maximum values (false).

strokecolor

Defaults to @inherit patchstrokecolor

Sets the color of the density outline. This requires strokewidth > 0.

strokewidth

Defaults to @inherit patchstrokewidth

Sets the linewidth of the density outline.

transformation

Defaults to :automatic

Controls the inheritance or directly sets the transformations of a plot. Transformations include the transform function and model matrix as generated by translate!(...), scale!(...) and rotate!(...). They can be set directly by passing a Transformation() object or inherited from the parent plot or scene. Inheritance options include:

  • :automatic: Inherit transformations if the parent and child space is compatible

  • :inherit: Inherit transformations

  • :inherit_model: Inherit only model transformations

  • :inherit_transform_func: Inherit only the transform function

  • :nothing: Inherit neither, fully disconnecting the child's transformations from the parent

Another option is to pass arguments to the transform!() function which then get applied to the plot. For example transformation = (:xz, 1.0) which rotates the xy plane to the xz plane and translates by 1.0. For this inheritance defaults to :automatic but can also be set through e.g. (:nothing, (:xz, 1.0)).

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 gets rendered or not.

weights

Defaults to automatic

Assign a vector of statistical weights to values.