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0.7-style binning #310

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108 changes: 106 additions & 2 deletions ext/PlottingExt.jl
Original file line number Diff line number Diff line change
Expand Up @@ -1010,8 +1010,8 @@ function get_unit_energy(units, into)
end

function colorrange_from_data(; data, saturation, sensitivity, allpositive)
cmax = Statistics.quantile(vec(maximum(data; dims=1)), saturation)
cmin = Statistics.quantile(vec(minimum(data; dims=1)), 1 - saturation)
cmax = Statistics.quantile(filter(!isnan, vec(maximum(data; dims=1))), saturation)
cmin = Statistics.quantile(filter(!isnan, vec(minimum(data; dims=1))), 1 - saturation)

# The returned pair (lo, hi) should be strictly ordered, lo < hi, for use in
# Makie.Colorbar
Expand Down Expand Up @@ -1192,6 +1192,53 @@ function Sunny.plot_intensities!(panel, res::Sunny.PowderIntensities{Float64}; c
return ax
end

# Axes will currently be labeled as a linear combination of crystal lattice
# vectors. See https://github.com/SunnySuite/Sunny.jl/pull/310 for details.
function Sunny.plot_intensities!(panel, res::Sunny.BinnedIntensities{Float64}; colormap=nothing, colorrange=nothing, saturation=0.9, allpositive=true, units=nothing, into=nothing, title="", axisopts=NamedTuple(), divide_counts=true)
axisopts = (; title, axisopts...)
unit_energy, elabel = get_unit_energy(units, into)

data = divide_counts ? (res.data ./ res.counts) : res.data

colorrange_suggest = colorrange_from_data(; data, saturation, sensitivity=0, allpositive)
colormap = @something colormap (allpositive ? :gnuplot2 : :bwr)
colorrange = @something colorrange colorrange_suggest

# Low-dimension cases
n_dims_resolved = count(res.params.numbins .!= 1)

if n_dims_resolved == 0
# No resolved data: Just display the one value!
ax = Makie.Axis(panel[1,1]; axisopts...)
text = Sunny.number_to_simple_string(data[1]; digits=4)
Makie.text!(ax, 0, 0; text)
return ax
elseif n_dims_resolved == 1
# Only resolved on one axis!
x_axis = findfirst(res.params.numbins .!= 1)
xlabel = (x_axis == 4) ? elabel : Sunny.covector_name(res.params.covectors[x_axis, :])
ax = Makie.Axis(panel[1,1]; xlabel, ylabel="Integrated Intensity", axisopts...)
bcs = Sunny.axes_bincenters(res.params)
bcs[4] /= unit_energy
Makie.barplot!(ax, bcs[x_axis], data[:]; colormap, colorrange)
return ax
elseif n_dims_resolved == 2
x_axis = findfirst(res.params.numbins .!= 1)
y_axis = x_axis + findfirst(res.params.numbins[x_axis+1:end] .!= 1)
xlabel = Sunny.covector_name(res.params.covectors[x_axis, :])
ylabel = (y_axis == 4) ? elabel : Sunny.covector_name(res.params.covectors[y_axis, :])
ax = Makie.Axis(panel[1,1]; xlabel, ylabel, axisopts...)
bcs = Sunny.axes_bincenters(res.params)
bcs[4] /= unit_energy
data = reshape(data, size(data, x_axis), size(data, y_axis))
hm = Makie.heatmap!(ax, bcs[x_axis], bcs[y_axis], data; colormap, colorrange)
Makie.Colorbar(panel[1, 2], hm)
return ax
elseif n_dims_resolved > 2
error("Higher-dimensional binned data visualization not yet implemented!")
end
end

#=
* `axisopts`: An additional collection of named arguments that will be passed
to the `Makie.Axis` constructor. This allows to override the axis `xlabel`,
Expand Down Expand Up @@ -1240,4 +1287,61 @@ function Sunny.plot_intensities(res::Sunny.AbstractIntensities; opts...)
return fig
end


function Sunny.viz_qqq_path(params::Sunny.BinningParameters; kwargs...)
f = Makie.Figure()
ax = Makie.LScene(f[1,1]; show_axis=false)
Makie.cam3d!(ax.scene; projectiontype=Makie.Orthographic)
viz_qqq_path!(ax, params; kwargs...)

aabb_lo, aabb_hi = Sunny.binning_parameters_aabb(params)
lo = min.(0, floor.(Int64, aabb_lo))
hi = max.(0, ceil.(Int64, aabb_hi))
Makie.scatter!(ax, map(x -> Makie.Point3f(lo .+ x.I .- 1), CartesianIndices(ntuple(i -> 1 + hi[i] - lo[i], 3)))[:], color=:black)
global_axes = [(Makie.Point3f(-1,0,0), Makie.Point3f(1,0,0)),
(Makie.Point3f(0,-1,0), Makie.Point3f(0,1,0)),
(Makie.Point3f(0,0,-1), Makie.Point3f(0,0,1))]
Makie.linesegments!(ax, global_axes, color=:black)
Makie.text!(1.1, 0, 0; text="𝐛₁ [R.L.U.]")
Makie.text!(0, 1.1, 0; text="𝐛₂ [R.L.U.]")
Makie.text!(0, 0, 1.1; text="𝐛₃ [R.L.U.]")
display(f)
ax
end

function viz_qqq_path!(ax, params::Sunny.BinningParameters; line_alpha=0.3, color=nothing, colorrange=nothing, bin_colors=[:red,:blue,:green], bin_line_width=0.5)
@assert iszero(params.covectors[1:3, 4]) && iszero(params.covectors[4, 1:3])
bes = Sunny.axes_binedges(params)
M = inv(params.covectors[1:3, 1:3])
for dir in 1:3
ix = [2, 3, 1][dir]
iy = [3, 1, 2][dir]
iz = dir

# The grid of q points making up the lowest side of the histogram
# along the iz direction
grid = Vector{Float64}[]
grid_sparse = Vector{Float64}[]
for i in 1:length(bes[ix]), j in 1:length(bes[iy])
is_i_edge = (i == 1 || i == length(bes[ix]))
is_j_edge = (j == 1 || j == length(bes[iy]))
grid_point = [bes[ix][i], bes[iy][j], bes[iz][1]][invperm([ix, iy, iz])]
if is_i_edge && is_j_edge # Corner case; render special for outline
push!(grid_sparse, grid_point)
continue
end
push!(grid,grid_point)
end
offset = [0, 0, bes[iz][end] - bes[iz][1]][invperm([ix, iy, iz])]

if !isempty(grid)
segs = map(x -> (Makie.Point3f(M * x), Makie.Point3f(M * (x .+ offset))), grid[:])
Makie.linesegments!(ax, segs, color=bin_colors[dir], linewidth=bin_line_width, alpha=line_alpha)
end

segs = map(x -> (Makie.Point3f(M * x), Makie.Point3f(M * (x .+ offset))), grid_sparse[:])
Makie.linesegments!(ax, segs; color=isnothing(color) ? :black : color, linewidth=2.5, colorrange)
end
end

end
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