Alexzive wrote:
I am just wondering if there is a quick way to improve this algorithm
[N is a structured array which hold info about the nodes n of a finite
element mesh, and n is about 300.000). I need to extract info from N
and put it in to a 3*n matrix NN which I reshape then with numpy. I
think to "append" is quite unefficient:
***********************************************************
N = odb.rootAssembly.instances['PART-1-1'].nodes
NN=[]
B=[0,0,0]
#auxsiliar vector
for i in range(len(N)):
B[0] = N[i].label
B[1] = N[i].coordinates[0]
B[2] = N[i].coordinates[1]
NN = append(NN,B)
Usually this would be written with a list-comprehension,
something like
nn = [(x.label, x.coordinates[0], x.coordinates[1])
for x in N]
or if you really need lists-of-lists instead of lists-of-tuples:
nn = [[x.label, x.coordinates[0], x.coordinates[1]]
for x in N]
-tkc
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