first draft

src/plot_channelimage.jl

@@ -0,0 +1,45 @@
+function plot_channelimage!(
+    f::Union{GridPosition,GridLayout,Figure},
+    position::Vector{Point{2, Float32}},
+    plotData::Matrix{<:Real}
+    raw_ch_names::Vector{String};
+    kwargs...,
+    )
+ #=    raw = PyMNE.io.read_raw_eeglab(p, preload=true)
+	dat_e =  load("data/dat_e.jld2")["1"]
+	mon = PyMNE.channels.make_standard_montage("standard_1020")
+	raw.set_channel_types(Dict("HEOG_left"=>"eog","HEOG_right"=>"eog","VEOG_lower"=>"eog"))
+	raw.set_montage(mon,match_case=false)
+	pos = PyMNE.channels.make_eeg_layout(raw.info).pos
+	pos = pyconvert(Array,pos) 
+	pos = [Point2f(pos[k,1], pos[k,2]) for k in 1:size(pos,1)]
+	raw_ch_names = pyconvert(Array, raw.ch_names) =#
+
+    x = [i[1] for i in position]
+    y = [i[2] for i in position]
+
+    x = round.(x; digits=2)
+    y = Integer.(round.((y .- mean(y))  * 20)) * -1
+    x = Integer.(round.((x .- mean(x))  * 20))
+    d = zip(x, y, raw_ch_names, 1:20)
+    a = sort!(DataFrame(d), [:2, :1], rev=[true, false])
+    b = a[!, :4]
+    c = a[!, :3]
+    c = pyconvert(Array, c)
+    c = [string(x) for x in c]
+
+    ix = range(-0.3, 1.2, length = size(plotData, 2))
+    iy = 1:20
+    iz = mean(plotData, dims=3)[b, :, 1]'
+
+    gin = f[1, 1] = GridLayout()
+    ax = Axis(gin[1, 1], xlabel = "Time [s]", ylabel = "Channels")
+    hm = CairoMakie.heatmap!(ix, iy, iz, 
+        colormap="cork")
+    ax.yticks = iy
+    ax.ytickformat = xc -> c
+    ax.yticklabelsize = 14
+
+    CairoMakie.Colorbar(gin[1, 2], hm,  label = "Voltage [µV]") 
+    return f
+end