Skip to content

tricontourf ​

Makie.tricontourf Function
julia
tricontourf(triangles::Triangulation, zs; kwargs...)
tricontourf(xs, ys, zs; kwargs...)

Plots a filled tricontour of the height information in zs at the horizontal positions xs and vertical positions ys. A Triangulation from DelaunayTriangulation.jl can also be provided instead of xs and ys for specifying the triangles, otherwise an unconstrained triangulation of xs and ys is computed.

Plot type

The plot type alias for the tricontourf function is Tricontourf.

source

Examples ​

julia
using CairoMakie
using Random
Random.seed!(1234)

x = randn(50)
y = randn(50)
z = -sqrt.(x .^ 2 .+ y .^ 2) .+ 0.1 .* randn.()

f, ax, tr = tricontourf(x, y, z)
scatter!(x, y, color = z, strokewidth = 1, strokecolor = :black)
Colorbar(f[1, 2], tr)
f
julia
using CairoMakie
using Random
Random.seed!(1234)

x = randn(200)
y = randn(200)
z = x .* y

f, ax, tr = tricontourf(x, y, z, colormap = :batlow)
scatter!(x, y, color = z, colormap = :batlow, strokewidth = 1, strokecolor = :black)
Colorbar(f[1, 2], tr)
f

Triangulation modes ​

Manual triangulations can be passed as a 3xN matrix of integers, where each column of three integers specifies the indices of the corners of one triangle in the vector of points.

julia
using CairoMakie
using Random
Random.seed!(123)

n = 20
angles = range(0, 2pi, length = n+1)[1:end-1]
x = [cos.(angles); 2 .* cos.(angles .+ pi/n)]
y = [sin.(angles); 2 .* sin.(angles .+ pi/n)]
z = (x .- 0.5).^2 + (y .- 0.5).^2 .+ 0.5.*randn.()

triangulation_inner = reduce(hcat, map(i -> [0, 1, n] .+ i, 1:n))
triangulation_outer = reduce(hcat, map(i -> [n-1, n, 0] .+ i, 1:n))
triangulation = hcat(triangulation_inner, triangulation_outer)

f, ax, _ = tricontourf(x, y, z, triangulation = triangulation,
    axis = (; aspect = 1, title = "Manual triangulation"))
scatter!(x, y, color = z, strokewidth = 1, strokecolor = :black)

tricontourf(f[1, 2], x, y, z, triangulation = Makie.DelaunayTriangulation(),
    axis = (; aspect = 1, title = "Delaunay triangulation"))
scatter!(x, y, color = z, strokewidth = 1, strokecolor = :black)

f

By default, tricontourf performs unconstrained triangulations. Greater control over the triangulation, such as allowing for enforced boundaries, can be achieved by using DelaunayTriangulation.jl and passing the resulting triangulation as the first argument of tricontourf. For example, the above annulus can also be plotted as follows:

julia
using CairoMakie
using DelaunayTriangulation
using Random

Random.seed!(123)

n = 20
angles = range(0, 2pi, length = n+1)[1:end-1]
x = [cos.(angles); 2 .* cos.(angles .+ pi/n)]
y = [sin.(angles); 2 .* sin.(angles .+ pi/n)]
z = (x .- 0.5).^2 + (y .- 0.5).^2 .+ 0.5.*randn.()

inner = [n:-1:1; n] # clockwise inner
outer = [(n+1):(2n); n+1] # counter-clockwise outer
boundary_nodes = [[outer], [inner]]
points = [x'; y']
tri = triangulate(points; boundary_nodes = boundary_nodes)
f, ax, _ = tricontourf(tri, z;
    axis = (; aspect = 1, title = "Constrained triangulation\nvia DelaunayTriangulation.jl"))
scatter!(x, y, color = z, strokewidth = 1, strokecolor = :black)
f

Boundary nodes make it possible to support more complicated regions, possibly with holes, than is possible by only providing points themselves.

julia
using CairoMakie
using DelaunayTriangulation

## Start by defining the boundaries, and then convert to the appropriate interface
curve_1 = [
    [(0.0, 0.0), (5.0, 0.0), (10.0, 0.0), (15.0, 0.0), (20.0, 0.0), (25.0, 0.0)],
    [(25.0, 0.0), (25.0, 5.0), (25.0, 10.0), (25.0, 15.0), (25.0, 20.0), (25.0, 25.0)],
    [(25.0, 25.0), (20.0, 25.0), (15.0, 25.0), (10.0, 25.0), (5.0, 25.0), (0.0, 25.0)],
    [(0.0, 25.0), (0.0, 20.0), (0.0, 15.0), (0.0, 10.0), (0.0, 5.0), (0.0, 0.0)]
] # outer-most boundary: counter-clockwise
curve_2 = [
    [(4.0, 6.0), (4.0, 14.0), (4.0, 20.0), (18.0, 20.0), (20.0, 20.0)],
    [(20.0, 20.0), (20.0, 16.0), (20.0, 12.0), (20.0, 8.0), (20.0, 4.0)],
    [(20.0, 4.0), (16.0, 4.0), (12.0, 4.0), (8.0, 4.0), (4.0, 4.0), (4.0, 6.0)]
] # inner boundary: clockwise
curve_3 = [
    [(12.906, 10.912), (16.0, 12.0), (16.16, 14.46), (16.29, 17.06),
    (13.13, 16.86), (8.92, 16.4), (8.8, 10.9), (12.906, 10.912)]
] # this is inside curve_2, so it's counter-clockwise
curves = [curve_1, curve_2, curve_3]
points = [
    (3.0, 23.0), (9.0, 24.0), (9.2, 22.0), (14.8, 22.8), (16.0, 22.0),
    (23.0, 23.0), (22.6, 19.0), (23.8, 17.8), (22.0, 14.0), (22.0, 11.0),
    (24.0, 6.0), (23.0, 2.0), (19.0, 1.0), (16.0, 3.0), (10.0, 1.0), (11.0, 3.0),
    (6.0, 2.0), (6.2, 3.0), (2.0, 3.0), (2.6, 6.2), (2.0, 8.0), (2.0, 11.0),
    (5.0, 12.0), (2.0, 17.0), (3.0, 19.0), (6.0, 18.0), (6.5, 14.5),
    (13.0, 19.0), (13.0, 12.0), (16.0, 8.0), (9.8, 8.0), (7.5, 6.0),
    (12.0, 13.0), (19.0, 15.0)
]
boundary_nodes, points = convert_boundary_points_to_indices(curves; existing_points=points)
edges = Set(((1, 19), (19, 12), (46, 4), (45, 12)))

## Extract the x, y
tri = triangulate(points; boundary_nodes = boundary_nodes, segments = edges)
z = [(x - 1) * (y + 1) for (x, y) in DelaunayTriangulation.each_point(tri)] # note that each_point preserves the index order
f, ax, _ = tricontourf(tri, z, levels = 30; axis = (; aspect = 1))
f
julia
using CairoMakie
using DelaunayTriangulation

using Random
Random.seed!(1234)

θ = [LinRange(0, 2π * (1 - 1/19), 20); 0]
xy = Vector{Vector{Vector{NTuple{2,Float64}}}}()
cx = [0.0, 3.0]
for i in 1:2
    push!(xy, [[(cx[i] + cos(θ), sin(θ)) for θ in θ]])
    push!(xy, [[(cx[i] + 0.5cos(θ), 0.5sin(θ)) for θ in reverse(θ)]])
end
boundary_nodes, points = convert_boundary_points_to_indices(xy)
tri = triangulate(points; boundary_nodes=boundary_nodes)
z = [(x - 3/2)^2 + y^2 for (x, y) in DelaunayTriangulation.each_point(tri)] # note that each_point preserves the index order

f, ax, tr = tricontourf(tri, z, colormap = :matter)
f

Relative mode ​

Sometimes it's beneficial to drop one part of the range of values, usually towards the outer boundary. Rather than specifying the levels to include manually, you can set the mode attribute to :relative and specify the levels from 0 to 1, relative to the current minimum and maximum value.

julia
using CairoMakie
using Random
Random.seed!(1234)

x = randn(50)
y = randn(50)
z = -sqrt.(x .^ 2 .+ y .^ 2) .+ 0.1 .* randn.()

f, ax, tr = tricontourf(x, y, z, mode = :relative, levels = 0.2:0.1:1)
scatter!(x, y, color = z, strokewidth = 1, strokecolor = :black)
Colorbar(f[1, 2], tr)
f

Attributes ​

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[].

colormap ​

Defaults to @inherit colormap

Sets the colormap from which the band colors are sampled.

colorscale ​

Defaults to identity

Color transform function

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).

edges ​

Defaults to nothing

No docs available.

extendhigh ​

Defaults to nothing

This sets the color of an optional additional band from the highest value of levels to maximum(zs). If it's :auto, the high end of the colormap is picked and the remaining colors are shifted accordingly. If it's any color representation, this color is used. If it's nothing, no band is added.

extendlow ​

Defaults to nothing

This sets the color of an optional additional band from minimum(zs) to the lowest value in levels. If it's :auto, the lower end of the colormap is picked and the remaining colors are shifted accordingly. If it's any color representation, this color is used. If it's nothing, no band is added.

fxaa ​

Defaults to true

adjusts whether the plot is rendered with fxaa (anti-aliasing, GLMakie only).

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.

levels ​

Defaults to 10

Can be either an Int which results in n bands delimited by n+1 equally spaced levels, or it can be an AbstractVector{<:Real} that lists n consecutive edges from low to high, which result in n-1 bands.

mode ​

Defaults to :normal

Sets the way in which a vector of levels is interpreted, if it's set to :relative, each number is interpreted as a fraction between the minimum and maximum values of zs. For example, levels = 0.1:0.1:1.0 would exclude the lower 10% of data.

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

No docs available.

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.

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.

triangulation ​

Defaults to DelaunayTriangulation()

The mode with which the points in xs and ys are triangulated. Passing DelaunayTriangulation() performs a Delaunay triangulation. You can also pass a preexisting triangulation as an AbstractMatrix{<:Int} with size (3, n), where each column specifies the vertex indices of one triangle, or as a Triangulation from DelaunayTriangulation.jl.

visible ​

Defaults to true

Controls whether the plot will be rendered or not.