Comments (6)
Can the model in meshtool is exported
I guess your asking whether a mesh (including properties like inverted model) can be exported?
A very widespread format, particularly for 3D visualization, is vtk. A mesh can be exported by
mesh.exportVTK("mesh.vtk")
If you want to include properties, e.g. from an inversion using a manager this might be extended
mesh = mgr.paraDomain
mesh["density"] = mgr.model
mesh.exportVTK(...
However, most managers have a method mgr.saveResult()
that includes vtk export.
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I want the my model just function in
pg.viewer.mpl.drawPLC
ISo I can make my model in one layer another software so I can my model in front of my inversion result. In pygimli I can do this with function pg.viewer, so I can comparion my inversion model with my syntetic model.
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In case, I just want to export the line of my model:
`world = mt.createWorld (....)
circle= mt.createCircle (..)
model = world รท circle
pg.show(model)`
Exported model can be export in xyz or something for comparison inversion result with model in another software modelling
from gimli.
I want the my model just function in
It is really hard to guess what you mean.
The variable model (combined by the world and a circle) is a piece-wise linear complex. It does neither have a discretization nor any values associated. It is just structures (points and lines) that can be plotted, e.g. on an inversion result.
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Okay, sir, so the structure can be exported to another software or not? If cannot, can the inversion result from Res2Dinv is plotted in pygimli? Or do you have recommendation software for comparison result of res2dinv and pygimli, and the software can plot the strutured model?
Edit:
I just an idea. I use Pykrige for interpolation gimli and res2dinv result. And i use pg.paraview for first layer all my inversion model.
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Of course, inversion results can be exported or interpolated. To avoid interpolation errors, one should use a regular grid for a comparison. It should be easy to read in a res2dinv model into a grid.
I have no idea what you mean with pg.paraview.
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Related Issues (20)
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