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Currently the 2D plot for unstructured data is done through triangulation and interpolation provided by Matplotlib: https://matplotlib.org/stable/api/tri_api.html#matplotlib.tri.TriInterpolator. I want to find a substitution of triangulation and interpolation in Julia.
There are several options in Julia, but I haven't found a good solution yet. I've looked at
These two are pretty similar, but neither of them support linear scatter interpolations, and they both suffer from the OOM issue.
Triangulate.jl is a wrapper over another famous triangle mesh generator. I don't know if it supports linear scatter interpolations.
GridInterpolation.jl is another option, but the so-called simplex grid implementation suffers from performance issues.
NaturalNeighbours.jl is a working package.
The text was updated successfully, but these errors were encountered:
OutOfMemoryError()
matplotlib.tri.LinearTriInterpolator
getdata2d
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Currently the 2D plot for unstructured data is done through triangulation and interpolation provided by Matplotlib: https://matplotlib.org/stable/api/tri_api.html#matplotlib.tri.TriInterpolator. I want to find a substitution of triangulation and interpolation in Julia.
There are several options in Julia, but I haven't found a good solution yet. I've looked at
These two are pretty similar, but neither of them support linear scatter interpolations, and they both suffer from the OOM issue.
Triangulate.jl is a wrapper over another famous triangle mesh generator. I don't know if it supports linear scatter interpolations.
GridInterpolation.jl is another option, but the so-called simplex grid implementation suffers from performance issues.
NaturalNeighbours.jl is a working package.
The text was updated successfully, but these errors were encountered: