add animated plot to show progress of contour order

main.jl

@@ -20,7 +20,7 @@ tdfast = tempdecay(215, 25, 0.08)
 ### LOAD IN DATA
 obj = "/Users/jayant/phd/tempaware/models/" * "M5"
 contours = clean_contour.(contour.(JSON.parse(open(obj * "contours.json"))))
-cdata = contourdata(contours, 20, 5) # contour data
+cdata = contourdata(contours, 40, 5) # contour data
 @time vd = voxdata(obj * "_voxels.csv", cdata)
 #stress_multiplier!(vd.voxels, 10)
 rl = random_rollout(cdata)
@@ -100,4 +100,8 @@ histogram!(sort(data, rev=true)[1:4000]) # vast majority of voxels near 0 stress
 ### Visualise voxmap
 plot(vd, 46, cdata)
 plot(Vector(1:length(rl)), cdata)
-plot(rl, cdata)
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+plot(rl, cdata)
+
+rl = random_rollout(cdata)
+rl = Vector(1:length(rl))
+@time plot_animate(rl, cdata)
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utils.jl

@@ -9,6 +9,7 @@ using LinearAlgebra
 using PlotlyJS
 import PlotlyJS: plot
 using Colors
+using Plots
 
 
 struct material
@@ -622,4 +623,22 @@ function plot(rl::Vector{Int}, cdata::contourdata)
             ))
     end
     plot(traces, layout)
+end
+
+
+function plot_animate(rl::Vector{Int}, cdata::contourdata)
+    i=1
+    p=Plots.plot3d(cdata.contours[rl[i]].pos[:,1],
+            cdata.contours[rl[i]].pos[:,2],
+            cdata.contours[rl[i]].pos[:,3]
+    )
+
+    return @gif for i in 2:length(rl)
+        plot3d!(p,
+            cdata.contours[rl[i]].pos[:,1],
+            cdata.contours[rl[i]].pos[:,2],
+            cdata.contours[rl[i]].pos[:,3],
+            legend=false
+        )
+    end
 end
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