Plotting#
These examples show case many of the possibilities for altering how you display spatial data. Explore these examples to learn how to leverage our powerful 3D plotting routines to perform tasks like:
Color mapping scalar values with
matplotlib
colormapsCreating animations as GIFs or movie files
Showing the edges and nodes of different mesh types
Use sophisticated lighting techniques like smooth shading or Eye Dome Lighting
Glyph a vector or scalar field on a mesh (place/orient a mesh on another mesh’s nodes and scale/orient based on data values)
Label points in 3D space along side your meshes
Creating side-by-side comparisons
Making a dataset transparent or using a scalar value to map opacity
Adding textures/images draped over a mesh (texture mapping)
Rendering a depth image
Clearing a Mesh or the Entire Plot
Label based on Distance on Line
Create a GIF Movie of a Static Object with a Moving Colormap
Plot Scalars Over a Circular Arc
Plot data in spherical coordinates
Surface Space Ambient Occlusion
Picking a Point on the Surface of a Mesh
Control Global and Local Plotting Themes