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removed NaturalNeighbours for now until #55 is fixed
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### A Pluto.jl notebook ### | ||
# v0.19.9 | ||
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using Markdown | ||
using InteractiveUtils | ||
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# ╔═╡ 2fafb0da-f3a9-11ec-0ddf-6725344070fe | ||
begin | ||
using Pkg | ||
Pkg.activate("../../devEnv") # docs | ||
#Pkg.add("PyMNE") | ||
#Pkg.add(path="../../../TopoPlotsjl/") | ||
Pkg.develop(path="../../../TopoPlotsjl/") | ||
#Pkg.add("DataFrames") | ||
#Pkg.add("AlgebraOfGraphics") | ||
#Pkg.add("StatsBase") | ||
#Pkg.add("CategoricalArrays") | ||
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#Pkg.add("JLD2") | ||
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#Pkg.add("CairoMakie") | ||
end | ||
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# ╔═╡ c4a25915-c7f5-453a-a4f0-4b40ebedea4c | ||
using Revise | ||
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# ╔═╡ 59b87673-02d2-4deb-90be-74d923d170eb | ||
using TopoPlots | ||
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# ╔═╡ 452a245c-773a-4303-a970-f2592c3e879f | ||
begin | ||
#using TopoPlots | ||
#using ../../../Topoplotsjl | ||
using CairoMakie | ||
using DataFrames | ||
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end | ||
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# ╔═╡ 77dc1ba9-9484-485b-a49d-9aa231ef4983 | ||
using Statistics | ||
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# ╔═╡ 311f10ff-deb8-4f82-8b12-d5b643656828 | ||
using PyMNE | ||
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# ╔═╡ 9fa5c598-3578-4989-9585-29fd32ae1056 | ||
using Distributions | ||
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# ╔═╡ 6cda29dc-7086-4079-83c6-3650204a82ff | ||
pathof(TopoPlots) | ||
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# ╔═╡ e0cc560f-d3e8-415b-b22d-6bca23ef093c | ||
revise(TopoPlots) | ||
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# ╔═╡ f4b81740-d907-42ae-a0df-f46fb2f2cb15 | ||
begin | ||
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data = Array{Float32}(undef, 64, 400, 3) | ||
#read!(TopoPlots.assetpath("example-data.bin"), data) | ||
read!(splitdir(pathof(TopoPlots))[1]*"/../assets/example-data.bin",data) | ||
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positions = Vector{Point2f}(undef, 64) | ||
read!(splitdir(pathof(TopoPlots))[1]*"/../assets/layout64.bin",positions) | ||
#read!(TopoPlots.assetpath("layout64.bin"), positions) | ||
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end; | ||
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# ╔═╡ 42f7755b-80f4-4185-8d21-42e11730e0fc | ||
begin | ||
using Random | ||
pos = positions[1:10] | ||
eeg_topoplot(rand(MersenneTwister(1),length(pos)), string.(1:length(pos));positions=pos,pad_value=0.) | ||
end | ||
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# ╔═╡ aad784ee-6bb7-4f3c-8444-be050456ddea | ||
eeg_topoplot(data[:, 340, 1], string.(1:length(positions));positions=positions) | ||
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# ╔═╡ 237e4f4a-cdf2-4bac-8096-de8050251745 | ||
eeg_topoplot(data[:, 340, 1], string.(1:length(positions));positions=positions,pad_value=0.1) | ||
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# ╔═╡ f522329b-3653-4059-9955-8cd05570e923 | ||
topoplot(rand(MersenneTwister(1),length(pos)),pos) | ||
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# ╔═╡ a9d2a2e2-6c8c-4cfc-9fed-b5e082cb44af | ||
let | ||
mon = PyMNE.channels.make_standard_montage("standard_1020") | ||
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posMat = (Matrix(hcat(pos...)).-0.5).*0.5 | ||
#pos = PyMNE.channels.make_eeg_layout(mon).pos | ||
PyMNE.viz.plot_topomap(rand(MersenneTwister(1),length(pos)),posMat',cmap="RdBu_r",extrapolate="box",border=-1) | ||
end | ||
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# ╔═╡ c358633f-8d18-4c5e-80f7-ab972e8860be | ||
Pkg.status("TopoPlots") | ||
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# ╔═╡ c0a2ad2e-ccce-4e80-b52c-75f1428ed182 | ||
e1eg_topoplot(data[:, 340, 1], string.(1:length(positions));positions=positions,interpolation = TopoPlots.NormalMixtureInterpolator() ) | ||
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# ╔═╡ d7620a42-d54c-4244-a820-d15aecdae626 | ||
@time TopoPlots.eeg_topoplot_series(data[:,:,1],40;topoplotCfg=(positions=positions,label_scatter=false)) | ||
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# ╔═╡ ec59c704-ae33-4a62-82ce-63acc6b17793 | ||
f, ax, pl = TopoPlots.eeg_topoplot(1:length(TopoPlots.CHANNELS_10_20),TopoPlots.CHANNELS_10_20; interpolation=TopoPlots.NullInterpolator(),) | ||
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# ╔═╡ f3d1f3cc-f7c9-4ef4-ba4f-3d32f2509cad | ||
let | ||
# 4 coordinates with one peak | ||
positions = Point2f[(-1, 0), (0, -1), (1, 0), (0, 1)] | ||
i = 1 | ||
peak_xy = positions[i] | ||
data = zeros(length(positions)) | ||
data[i] = 1.1 | ||
fig = topoplot(data, positions) | ||
# tighten the limits so that the limits of the axis and the data will match | ||
tightlimits!(fig.axis) | ||
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# retrieve the interpolated data | ||
m = fig.plot.plots[].color[] | ||
# get the limits of the axes and data | ||
rect = fig.axis.targetlimits[] | ||
minx, miny = minimum(rect) | ||
maxx, maxy = maximum(rect) | ||
# recreate the coordinates of the data | ||
x = range(minx, maxx, length=size(m, 1)) | ||
y = range(miny, maxy, length=size(m, 2)) | ||
xys = Point2f.(x, y') | ||
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# find the highest point | ||
_, i = findmax(x -> isnan(x) ? -Inf : x, m) | ||
xy = xys[i] | ||
@show peak_xy | ||
@show xy | ||
#@test isapprox(xy, peak_xy; atol=0.02) | ||
@show isapprox(xy, peak_xy; atol=0.02) | ||
fig | ||
end | ||
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# ╔═╡ 872ac6a4-ddaa-4dfb-a40d-9d5ea55bdb3d | ||
let | ||
f = Figure() | ||
axis = Axis(f[1, 1], aspect = 1) | ||
xlims!(low = -2, high = 2) | ||
ylims!(low = -2, high = 2) | ||
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data = [0, 0, 0] | ||
pos1 = [Point2f(-1, -1), Point2f(-1.0, 0.0), Point2f(0, -1)] | ||
pos2 = [Point2f(1, 1), Point2f(1.0, 0.0), Point2f(0, 1)] | ||
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pos1 = pos1 .- mean(pos1) | ||
pos2 = pos2 .- mean(pos2) | ||
eeg_topoplot!(axis, data, positions=pos1) | ||
eeg_topoplot!(axis, data, positions=pos2) | ||
f | ||
end | ||
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# ╔═╡ Cell order: | ||
# ╠═2fafb0da-f3a9-11ec-0ddf-6725344070fe | ||
# ╠═6cda29dc-7086-4079-83c6-3650204a82ff | ||
# ╠═c4a25915-c7f5-453a-a4f0-4b40ebedea4c | ||
# ╠═e0cc560f-d3e8-415b-b22d-6bca23ef093c | ||
# ╠═59b87673-02d2-4deb-90be-74d923d170eb | ||
# ╠═452a245c-773a-4303-a970-f2592c3e879f | ||
# ╠═f4b81740-d907-42ae-a0df-f46fb2f2cb15 | ||
# ╠═77dc1ba9-9484-485b-a49d-9aa231ef4983 | ||
# ╠═aad784ee-6bb7-4f3c-8444-be050456ddea | ||
# ╠═237e4f4a-cdf2-4bac-8096-de8050251745 | ||
# ╠═42f7755b-80f4-4185-8d21-42e11730e0fc | ||
# ╠═f522329b-3653-4059-9955-8cd05570e923 | ||
# ╠═311f10ff-deb8-4f82-8b12-d5b643656828 | ||
# ╠═a9d2a2e2-6c8c-4cfc-9fed-b5e082cb44af | ||
# ╠═c358633f-8d18-4c5e-80f7-ab972e8860be | ||
# ╠═9fa5c598-3578-4989-9585-29fd32ae1056 | ||
# ╠═c0a2ad2e-ccce-4e80-b52c-75f1428ed182 | ||
# ╠═d7620a42-d54c-4244-a820-d15aecdae626 | ||
# ╠═ec59c704-ae33-4a62-82ce-63acc6b17793 | ||
# ╠═f3d1f3cc-f7c9-4ef4-ba4f-3d32f2509cad | ||
# ╠═872ac6a4-ddaa-4dfb-a40d-9d5ea55bdb3d |