# Mesh3D Only Plotting Half

Hello, I’m trying to plot a 3d surface. I’ve used a marching cubes algorithm to generate a tuple of points. When I plot them in scatter() I get the following image, which is what I want and expect.

``````scatter([a for (a,_,_) in points],[b for (_,b,_) in points], [c for (_,_,c) in points] )
``````

However when I try and use Mesh3d to generate the mesh surface I obtain the following.

``````mesh3d([a for (a,_,_) in points], [b for (_,b,_) in points], [c for (_,_,c) in points])
``````

And only half of the points appear to be plotted. Is there a reason for this? I’m using Plots with a PlotlyJS backend. The entire setup is running in a pluto notebook, and I can append the code if someone wants to see the whole thing. The MWE is immediately below, along with a .csv version of the points tuple variable beneath it that one should be able to copy and paste!

``````using Plots
plotly()
using Meshing

function unknotintegralfunction(a,b,c,t)
1/(sqrt(((a.-cos.(t))^2).+((b.-sin.(t))^2).+c^2)) #using .math means element wise
end

function unknotpotential(a,b,c,A)
# we'll use the default errors to start
A[floor(Int,(10*a+21)),floor(Int,(10*b+21)),floor(Int,(10*c+21))]=ans
return [a,b,c,ans,err]
end

inflateunknot(f,N,p,A)=[f(x,y,z,A) for x in -1*N:p:N, y in -1*N:p:N, z in -1*N:p:N if z ≠ 0 || (x*x +y*y)≠ 1 ]
A = zeros(41,41,41)
ans = inflateunknot(unknotpotential,2,0.1,A)
c=A[20,20,20]+0.5
points,surfaces = isosurface(A,MarchingCubes(iso=c), origin = Vec(1,1,1), widths = Vec(4.0,4.0,4.0))

scatter([a for (a,_,_) in points],[b for (_,b,_) in points], [c for (_,_,c) in points] )
mesh3d([a for (a,_,_) in points], [b for (_,b,_) in points], [c for (_,_,c) in points])
``````

Please provide a MWE (minimal working example that people can copy and paste to reproduce the problem, including all data and `using` calls). See PSA: make it easier to help you. In particular you haven’t said which of the many plotting libraries you are using.

My apologies, I’ve edited the original question to include the code generating the data to be plotted and the plots themselves along with details about the plotting libraries.

1 Like

Thanks! You might want to reduce that down to normal Julia code, rather than a Pluto notebook, and reduce it down to the bare minimum that reproduces the problem

Ah, will do! Was worried there might be something in the pluto notebook causing the issue itself. I’ll update tomorrow with a stripped down example.

1 Like

I’ve edited the question to include an MWE, I followed the guide you linked to to output a copy-pastable version of my points variable. However it’s too many points to just copy paste and include in the example, not too sure how I should go about providing the variable values.

I don’t see the `points` variable. It’s fine / better to generate that using code, not copy paste the data.

Hello again! I appreciate your patience, I’ve updated the code with what I think is enough to generate the dataset. It works on my machine so hopefully it reproduces on yours!

The code provided would not run in my machine “as is”. The edited code below runs. Need to set alphahull in mesh3d.

``````using Plots, PlotlyJS, QuadGK, Meshing, StaticArrays
plotly()

function unknotintegralfunction(a,b,c,t)
1/(sqrt( (a - cos(t))^2 + (b - sin(t))^2 + c^2 ))
end

function unknotpotential(a,b,c,A)
A[floor(Int,(10*a+21)),floor(Int,(10*b+21)),floor(Int,(10*c+21))] = ans0
return [a,b,c,ans0,err]
end

inflateunknot(f,N,p,A) = [f(x,y,z,A) for x in -N:p:N, y in -N:p:N, z in -N:p:N if z ≠ 0 || (x*x +y*y)≠ 1 ]

A = zeros(41,41,41)
ans = inflateunknot(unknotpotential,2,0.1,A)
c = A[20,20,20] + 0.5
points,surfaces = isosurface(A,MarchingCubes(iso=c), origin = SVector(1,1,1), widths = SVector(4.0,4.0,4.0))

scatter([a for (a,_,_) in points],[b for (_,b,_) in points], [c for (_,_,c) in points] )

PlotlyJS.plot(
PlotlyJS.mesh3d(
x = [a for a in points],
y = [a for a in points],
z = [a for a in points],
alphahull = 5
)
)
``````

2 Likes

Thank you Rafael, I appreciate the time and effort. I’ll take a look at your code and see where I made some mistakes in my own. With regards to the mesh, is it possible that I’m feeding too many points to Mesh3d? Would the algorithm have an easier time with a sparser dataset?

It looks to me like the points are not being generated in the right order for the meshing algorithm to parse.

What happens if you replace `plotly` by `plotlyjs`? IIUC, the former is remote and the latter is local.

switching to PlotlyJS creates a number of errors that take me to the following webpage.

It discusses Jupyter notebooks but makes no mention of Pluto. Installing the dependencies as below unfortunately does not resolve the error.

``````begin
using WebIO
end
``````

Is the PlotlyJS backend not supported for Pluto? If so I might stick with a 3d scatter plot for now rather than worrying about trying to get mesh3d working in a notebook.

You could try with WGLMakie.

The default `alphahull` parameter was not appropriate. Please check my edited post above.

Thank you Rafael!

1 Like

@Nkrause WebIO is not enabled in Pluto: https://github.com/fonsp/Pluto.jl/issues/299