Change colormap of Butterfly plot

You want to change the colors of the lines and markers on the inserted topoplot. To do that you need to change the color scheme (aka color map) of the butterfly plot. You can find th elist of colormaps for Makie here.

Setup

using UnfoldMakie
using CairoMakie
using DataFramesMeta
using Colors

By default the plot looks like this:

include("../../../example_data.jl")
results, positions = example_data("TopoPlots.jl")
plot_butterfly(results; positions = positions)

Color schemes

MNE style

We can change the color scale by specifying a function that maps from an (x, y) tuple to a color. UnfoldMakie currently provides three different color scales:

• pos2colorRGB (same as MNE-Python),
• pos2colorHSV (HSV color space),
• pos2colorRomaO.

While RGB & HSV have the advantage of being 2D color maps, Roma0 has the advantage of being perceptually uniform. Also you can specify a uniform color.

plot_butterfly(
    results;
    positions = positions,
    topopositions_to_color = pos -> UnfoldMakie.pos_to_color_RGB(pos),
)

HSV-Space

plot_butterfly(
    results;
    positions = positions,
    topopositions_to_color = UnfoldMakie.pos_to_color_HSV,
)

Uniform Color

You can make all lines "gray", or any other arbitrary color. Also you can make it a function of electrode position.

plot_butterfly(
    results;
    positions = positions,
    topopositions_to_color = x -> Colors.RGB(0.5),
)

Transparency

Unlike RGB, RGBA has a fourth channel, alpha, which is responsible for transparency. Here are two examples of how to manipulate it.

f = Figure()
plot_butterfly!(
    f[1, 1],
    results;
    positions = positions,
    topopositions_to_color = x -> (RGBA(UnfoldMakie.pos_to_color_RomaO(x), 1)),
)

plot_butterfly!(
    f[2, 1],
    results;
    positions = positions,
    topopositions_to_color = x -> (GrayA(UnfoldMakie.pos_to_color_RomaO(x), 0.5)),
)
f

This page was generated using Literate.jl.