from abapy.postproc import FieldOutput, TensorFieldOutput, VectorFieldOutput, Identity_like data11 = [0., 0., 1.] data22 = [0., 0., -1] data12 = [1., 2., 0.] labels = range(1, len(data11) + 1) fo11 = FieldOutput(labels=labels, data=data11, position='node') fo22 = FieldOutput(labels=labels, data=data22, position='node') fo12 = FieldOutput(labels=labels, data=data12, position='node') tensor = TensorFieldOutput(data11=fo11, data22=fo22, data12=fo12) tresca = tensor.tresca() print(tresca)
from abapy.postproc import FieldOutput, TensorFieldOutput, Identity_like data1 = [ 1, 2, 3, 5, 6, ] data2 = [1. for i in data1] labels = range(1, len(data1) + 1) fo1, fo2 = FieldOutput(labels=labels, data=data1, position='node'), FieldOutput(labels=labels, data=data2, position='node') tensor = TensorFieldOutput(data11=fo1, data22=fo2) identity = Identity_like(tensor)