You use plotly. This is a test and it needs improvement but the script below generates a 3D plot and saves it to an html.
from ansys.dpf import core as dpf
import numpy as np
import plotly
import plotly.graph_objects as go
import plotly.io as pio
pio.renderers.default='browser'
myModel = r'set to a small .rst file for testing'
###############
# create dpf's datasource
ds= dpf.DataSources(myModel)
# Get all time points
# Extract model from RST
model=dpf.Model(data_sources=ds)
rst_mesh=model.metadata.meshed_region
disp = model.results.displacement().outputs.fields_container()[0]
dispX = np.array(disp.data)[:,0]
dispXNorm = dispX/np.linalg.norm(dispX)
# Get node ids and coordinates from mesh
node_ids = rst_mesh.nodes.scoping.ids
node_coords = rst_mesh.nodes.coordinates_field
node_coords_list = np.array(node_coords.data)#_as_list
x = node_coords_list[:,0]
y = node_coords_list[:,1]
z = node_coords_list[:,2]
fig = go.Figure(data=[go.Mesh3d(x=x, y=y, z=z,
alphahull=5,
opacity=1,
intensity=dispXNorm,
colorscale='rainbow')])
fig.show()
plotly.offline.plot(fig, filename='D:\myPlot.html')
Have to work on the coloring though....
