Butterfly Plot Visualization

Here we discuss butterfly plot visualization. Make sure you have looked into the installation instructions.

Since the configurations for ERP plots can be applied to butterfly plots as well. Here you can find the configurations for ERP plots.

Package loading

The following modules are necessary for run this tutorial:

using UnfoldMakie
using Unfold
using CairoMakie
using DataFrames

Note that DataFramesMeta is also used here in order to be able to use @subset for testing (filtering).

Data

We filter the data to make it more clearly represented:

include("../../../example_data.jl")
df, pos = example_data("TopoPlots.jl")
first(df, 3)
3×7 DataFrame
Rowestimatetimechannelcoefnametopo_positionssepval
Float64Float64Int64StringAnyFloat64Float64
10.020321-0.31A(0.493714, 0.544031)0.1228750.266091
20.017548-0.2981A(0.493714, 0.544031)0.1243450.29664
30.0150747-0.2961A(0.493714, 0.544031)0.1248280.323592

Plot Butterfly Plots

The default butterfly plot:

plot_butterfly(df)
Example block output

The butterfly plot with corresponding topoplot. You need to provide the channel positions.

plot_butterfly(df; positions = pos)
Example block output

You want to change size of topomarkers and size of topoplot:

plot_butterfly(df; positions = pos, topomarkersize = 10, topoheigth = 0.4, topowidth = 0.4)
Example block output

You want to add vline and hline:

f = Figure()
plot_butterfly!(f, df; positions = pos)
hlines!(0, color = :gray, linewidth = 1)
vlines!(0, color = :gray, linewidth = 1)
f
Example block output

You want to remove all decorations:

plot_butterfly(
    df;
    positions = pos,
    layout = (; hidedecorations = (:label => true, :ticks => true, :ticklabels => true)),
)
Example block output

Column Mappings for Butterfly Plot

Since butterfly plots use a DataFrame as input, the library needs to know the names of the columns used for plotting. You can set these mapping values by calling plot_butterfly(...; mapping=(; :x=:time)). Just specify a NamedTuple (note the ; right after the opening parentheses).

Configurations of Butterfly Plot

UnfoldMakie.plot_butterflyFunction

Plot a butterfly plot plotbutterfly(plotdata::DataFrame; positions=nothing)

kwargs (...; ...):

  • positions (Array, []): if specified, adds a topoplot as an inset legend to the provided channel positions. Must be the same length as plot_data. To change the colors of the channel lines use the topoposition_to_color function.
  • topolegend (bool, default=true): show an inlay topoplot with corresponding electrodes. Requires positions to be provided.
  • topomarkersize (Real, default=10): change the size of the markers, topoplot-inlay electrodes.
  • topowidth (Real, default=0.25): change the size of the inlay topoplot width.
  • topoheigth (Real, default=0.25): change the size of the inlay topoplot height.
  • topopositions_to_color (function, ´x -> posToColorRomaO(x)´): change the colors of the channel lines.

Shared plot configuration options

The shared plot options can be used as follows: type = (; key=value, ...)) - for example plot_x(...; layout = (; show_legend=true, legend_position=:right)). Multiple defaults will be cycled until match.

figure = NamedTuple() - use kwargs... of Makie.Figure

axis = (xlabel = "Time [s]", ylabel = "Voltage [µV]", yticklabelsize = 14) - use kwargs... of Makie.Axis

layout = (show_legend = false, legend_position = :right, xlabelFromMapping = :x, ylabelFromMapping = :y, use_colorbar = false, hidespines = (:r, :t), hidedecorations = Dict{Symbol, Bool}(:label => 0, :ticks => 0, :ticklabels => 0))

mapping = (x = (:time,), y = (:estimate, :yhat, :y), color = (:channel, :channels, :trial, :trials), positions = (:pos, :positions, :position, :topo_positions, :x, nothing), labels = (:labels, :label, :topoLabels, :sensor, nothing))

visual = (colormap = :roma,) - use kwargs... of $Makie.lines$

legend = (orientation = :vertical, tellwidth = true, tellheight = false, framevisible = false) - use kwargs... of Makie.Legend

colorbar = (vertical = true, tellwidth = true, tellheight = false) - use kwargs... of AlgebraOfGraphics.colobar!

see also plot_erp

source

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