Review of available plotting commands#

This example lists the different plotting commands available, shown with the arguments available.

  • 00 basic plotting
  • 00 basic plotting
  • 00 basic plotting
  • 00 basic plotting
  • 00 basic plotting
  • 00 basic plotting
  • 00 basic plotting
  • 00 basic plotting
  • 00 basic plotting
  • 00 basic plotting
  • 00 basic plotting
from ansys.dpf import core as dpf
from ansys.dpf.core import examples


# Plot the bare mesh of a model
model = dpf.Model(examples.multishells_rst)
model.plot(color="w", show_edges=True, title='Model', text='Model plot')
# # Additional PyVista kwargs are supported, such as:
model.plot(off_screen=True, notebook=False, screenshot='model_plot.png',
           title='Model', text='Model plot off')

# Notes:
# - To make screenshots, use "screenshot" as well as "notebook=False" if on a Jupyter notebook.
# - The "off_screen" keyword only works when "notebook=False" to prevent the GUI from appearing.


# Plot a field on its supporting mesh (field location must be Elemental or Nodal)
stress = model.results.stress()
stress.inputs.requested_location.connect("Nodal")
fc = stress.outputs.fields_container()
field = fc[0]
field.plot(notebook=False, shell_layers=None, show_axes=True, title='Field', text='Field plot')
# # Additional PyVista kwargs are supported, such as:
field.plot(off_screen=True, notebook=False, screenshot='field_plot.png',
           title='Field', text='Field plot off')
#
# # Alternatively one can plot the MeshedRegion associated to the model
mesh = model.metadata.meshed_region
mesh.plot(field_or_fields_container=None, shell_layers=None, show_axes=True,
          title='Mesh fc None', text='Mesh plot')
# Additional PyVista kwargs are supported, such as:
mesh.plot(off_screen=True, notebook=False, screenshot='mesh_plot.png',
          title='Mesh', text='Mesh plot off')
# A fields_container or a specific field can be given to plot on the mesh.
mesh.plot(field_or_fields_container=fc, title='Mesh with fields container', text='Mesh fc plot')
mesh.plot(field_or_fields_container=field, title='Mesh with field', text='Mesh field plot')
#
# One can also plot a MeshesContainer. Here our mesh is split by material.
split_mesh_op = dpf.Operator("split_mesh")
split_mesh_op.connect(7, mesh)
split_mesh_op.connect(13, "mat")
meshes_cont = split_mesh_op.get_output(0, dpf.types.meshes_container)
meshes_cont.plot(title='Meshes Container', text='Meshes Container plot')
# A fields_container can be given as input, with results on each part of our split mesh.
disp_op = dpf.Operator("U")
disp_op.connect(7, meshes_cont)
ds = dpf.DataSources(examples.multishells_rst)
disp_op.connect(4, ds)
disp_fc = disp_op.outputs.fields_container()
meshes_cont.plot(disp_fc, title='Meshes Container disp_fc', text='Meshes Container disp_fc plot')
# Additional PyVista kwargs are supported, such as:
meshes_cont.plot(off_screen=True, notebook=False, screenshot='meshes_cont_plot.png',
                 title='Meshes Container', text='Meshes Container plot')

Total running time of the script: ( 0 minutes 15.871 seconds)

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