image(x, y, image)

Plots an image on range x, y (defaults to dimensions).


Specific to Image

  • lowclip::Union{Nothing, Symbol, <:Colorant} = nothing sets a color for any value below the colorrange.

  • highclip::Union{Nothing, Symbol, <:Colorant} = nothing sets a color for any value above the colorrange.

  • interpolate::Bool = true sets whether colors should be interpolated.


  • visible::Bool = true sets whether the plot will be rendered or not.

  • overdraw::Bool = false sets whether the plot will draw over other plots. This specifically means ignoring depth checks in GL backends.

  • transparency::Bool = false adjusts how the plot deals with transparency. In GLMakie transparency = true results in using Order Independent Transparency.

  • fxaa::Bool = false adjusts whether the plot is rendered with fxaa (anti-aliasing).

  • inspectable::Bool = true sets whether this plot should be seen by DataInspector.

  • depth_shift::Float32 = 0f0 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).

  • model::Makie.Mat4f sets a model matrix for the plot. This replaces adjustments made with translate!, rotate! and scale!.

  • color is set by the plot.

  • colormap::Union{Symbol, Vector{<:Colorant}} = [:black, :white sets the colormap that is sampled for numeric colors.

  • colorrange::Tuple{<:Real, <:Real} sets the values representing the start and end points of colormap.

  • nan_color::Union{Symbol, <:Colorant} = RGBAf(0,0,0,0) sets a replacement color for color = NaN.

  • space::Symbol = :data sets the transformation space for the position of the image. See Makie.spaces() for possible inputs.


using CairoMakie

using FileIO

img = load(assetpath("cow.png"))

f = Figure()

image(f[1, 1], img,
    axis = (title = "Default",))

image(f[1, 2], img,
    axis = (aspect = DataAspect(), title = "DataAspect()",))

image(f[2, 1], rotr90(img),
    axis = (aspect = DataAspect(), title = "rotr90",))

image(f[2, 2], img',
    axis = (aspect = DataAspect(), yreversed = true,
        title = "img' and reverse y-axis",))