how to generate easy to share 3d plots?

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M
M Member, Employee Posts: 230
First Comment First Anniversary Ansys Employee Solution Developer Community of Practice Member
edited June 2023 in 3D Design

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....

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