Comments (1)
Hi Otman,
some IDE's (and also Pycharm) support to work directly with Jupyter Notebooks, for those the visualization should also work out of the box.There are the 3 rendertypes that you mentioned. The type "Website" we use for rendering a static html version of larger notebooks in an automatic conversion process within mkdocs
. For your usecase, the type "Offline" is the right mode and you can switch to this mode by running
import meshplot as mp
mp.offline()
The actual plot you can then run and save with mp.plot(v, f, filename="myplot")
.
from meshplot.
Related Issues (20)
- `AttributeError: 'Viewer' object has no attribute 'update_shading'`
- ambiguous color setup for a single tetrahedron
- TraitError of a PerspectiveCamera instance HOT 1
- Issues with subplot HOT 1
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- JupyterLab 3.x "Model not found" error HOT 3
- Running in Google Colab HOT 7
- Adding transparency/opacity/alpha HOT 3
- Save screenshots for plotting results HOT 2
- Colorbar HOT 1
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- `AttributeError: 'LineSegmentsGeometry' object has no attribute 'attributes'` HOT 1
- Jupyter plot error HOT 8
- Vieweing face/point index and clicking on mesh
- Error: "Failed to load model class 'RendererModel' from module 'jupyter-threejs'" HOT 4
- render directions HOT 2
- offline mode: save as html not working HOT 5
- Unable to use meshplot on VSCode and Python 3.9 HOT 2
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from meshplot.