For many applications, a colour bar is essential for visual interpretation, but I couldn't find a parameter or example in the documentation indicating how to add one to a trisurf rendering. Based on the documentation on trisurf, surface coloring and meshes, I guessed that adding a colour bar dict into the Mesh3d data could do the job, but this was ineffectual. What would be the right way?
Below is an example for ipython notebook using a mesh from the FAUST dataset, the trimesh library and the default trisurf colouring (z-value). The line before the last is my failed attempt.
import trimesh
mesh = trimesh.load_mesh('tr_reg_003.ply')
x, y, z = mesh.vertices.T
size = (mesh.vertices.max(axis=0) - mesh.vertices.min(axis=0)).T
import plotly.offline as py
import plotly.graph_objs as go
from plotly.tools import FigureFactory as ff
py.init_notebook_mode()
fig = ff.create_trisurf(
x=x, y=y, z=z, simplices=mesh.faces, colormap='Viridis',
aspectratio={'x': size[0], 'y': size[1], 'z': size[2]})
fig.data[0].update(colorbar=go.ColorBar(title='z'))
py.iplot(fig)Also, an option for create_trisurf() setting the aspect ratio based on the mesh extent (as done above manually) would be useful.
For many applications, a colour bar is essential for visual interpretation, but I couldn't find a parameter or example in the documentation indicating how to add one to a
trisurfrendering. Based on the documentation on trisurf, surface coloring and meshes, I guessed that adding a colour bar dict into theMesh3ddata could do the job, but this was ineffectual. What would be the right way?Below is an example for
ipython notebookusing a mesh from the FAUST dataset, the trimesh library and the defaulttrisurfcolouring (z-value). The line before the last is my failed attempt.Also, an option for
create_trisurf()setting the aspect ratio based on the mesh extent (as done above manually) would be useful.