How can I plot an element table with averaged values in PyMAPDL?

Mike Rife

PyVista has a method to convert cell data (one value per element) to point data (averaged value at nodes). The example is a solid mesh of a short stubby beam; and skipping the modeling and solution:

import matplotlib as mpl
cmap1 = (mpl.colors.ListedColormap(['blue','royalblue', 'cyan', '#00FA9A','#7CFC00', '#ADFF2F','yellow', 'orange','red'])
        .with_extremes())

mapdl.post1()
mapdl.set('last')
mapdl.etable('sy','s','y')
mapdl.view(1,1,1,1)
cmd = '''
/show,png
pletab,sy
pletab,sy,avg
/show
/replot
'''
_ = mapdl.run_multiline(cmd)

cell_data = mapdl.pretab('sy').to_list()
cell_sy = []
for item in cell_data:
    cell_sy.append(item[1])
mesh = mapdl.mesh.grid
mesh["StressY"] = cell_sy
mesh.plot(scalars = "StressY", cpos = 'iso', cmap = cmap1)

mesh2 = mesh.cell_data_to_point_data()
mesh2.plot(scalars = 'StressY', cpos = 'iso', cmap = cmap1)

The aveaged Etable Plot:

And the PyVista version:

Pretty close! Mike

Chris Harrold

@Mike Rife Nice example! Would you write it up as a blog for the portal?