density
density(values; npoints = 200, offset = 0.0, direction = :x)
Plot a kernel density estimate of
values
.
npoints
controls the resolution of the estimate, the baseline can be shifted with
offset
and the
direction
set to :x or :y.
bandwidth
and
boundary
are determined automatically by default.
Statistical weights can be provided via the
weights
keyword argument.
color
is usually set to a single color, but can also be set to
:x
or
:y
to color with a gradient. If you use
:y
when direction =
:x
(or vice versa), note that only 2-element colormaps can work correctly.
Attributes
Available attributes and their defaults for
MakieCore.Combined{Makie.density, T} where T
are:
bandwidth MakieCore.Automatic()
boundary MakieCore.Automatic()
color RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.6f0)
colormap :viridis
colorrange MakieCore.Automatic()
cycle [:color => :patchcolor]
direction :x
inspectable true
linestyle "nothing"
npoints 200
offset 0.0
strokearound false
strokecolor :black
strokewidth 0
weights MakieCore.Automatic() Examples
using CairoMakie
f = Figure()
Axis(f[1, 1])
density!(randn(200))
f
using CairoMakie
f = Figure()
Axis(f[1, 1])
density!(randn(200), direction = :y, npoints = 10)
f
using CairoMakie
f = Figure()
Axis(f[1, 1])
density!(randn(200), color = (:red, 0.3),
strokecolor = :red, strokewidth = 3, strokearound = true)
f
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.
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:
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
using CairoMakie, 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
These docs were autogenerated using Makie: v0.17.13, GLMakie: v0.6.13, CairoMakie: v0.8.13, WGLMakie: v0.6.13