Field Output Example

Location: examples/webapp/field/

Demonstrates 2D and 3D scalar fields. The 2D field renders as a heatmap; the 3D field renders as isosurfaces or a point cloud depending on the mesh type.

Inputs

  • Formula – a mathematical expression in x, y, z (e.g. x*y*z)

  • 3D Rendering – uniform grid (isosurface) or unstructured mesh

How to create a 2D field

A field requires two parts: a mesh definition and field values.

  1. Define the mesh:

m2d = rx['output.mesh(m2d)']
m2d['dim'] = 2
m2d['units'] = 'um'
m2d['hide'] = 'yes'
m2d['grid.xaxis.min'] = 0
m2d['grid.xaxis.max'] = 4
m2d['grid.xaxis.numpoints'] = 5
m2d['grid.yaxis.min'] = 0
m2d['grid.yaxis.max'] = 4
m2d['grid.yaxis.numpoints'] = 5

  1. Write field values on the mesh:

f2d = rx['output.field(f2d)']
f2d['about.label'] = '2D Field'
f2d['component.mesh'] = 'output.mesh(m2d)'
f2d['component.values'] = numpy_2d_array

3D uniform grid mesh

m3d = rx['output.mesh(m3d)']
m3d['dim'] = 3
m3d['grid.xaxis.numpoints'] = 5
m3d['grid.yaxis.numpoints'] = 5
m3d['grid.zaxis.numpoints'] = 2

3D unstructured mesh (point cloud)

m3d['unstructured.points'] = "x1 y1 z1\nx2 y2 z2\n..."

The heatmap viewer supports colorscale selection, zoom/pan, heightmap view, and download as PNG/SVG.

Running

rappture2web examples/webapp/field/