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DAMASK_EICMD
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now fully supports output of vector fields (needs POINT data for useful visualization!!)

This commit is contained in:
Philip Eisenlohr 2012-01-19 20:42:50 +00:00
parent b134ec7a39
commit 076fef3323
1 changed files with 16 additions and 9 deletions
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23
processing/post/3Dvisualize.py
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@ -105,6 +105,12 @@ def transliterateToFloat(x):
except:
return 0.0
def unravel(item):
if hasattr(item,'__contains__'): return ' '.join(map(unravel,item))
else: return str(item)
# ++++++++++++++++++++++++++++++++++++++++++++++++++++
def vtk_writeASCII_mesh(mesh,data,res):
# ++++++++++++++++++++++++++++++++++++++++++++++++++++
@ -148,8 +154,8 @@ def vtk_writeASCII_mesh(mesh,data,res):
for item in data[type]:
cmds += [\
'%s %s float'%(type.upper()+plural,item),
'LOOKUP_TABLE default',
[[['\t'.join(map(str,data[type][item][:,j,k]))] for j in range(res[1])] for k in range(res[2])],
{True:'LOOKUP_TABLE default',False:''}[type.lower()[:3]=='sca'],
[[['\t'.join(map(unravel,data[type][item][:,j,k]))] for j in range(res[1])] for k in range(res[2])],
]
return cmds
@ -240,8 +246,8 @@ def vtk_writeASCII_points(coordinates,data,res):
for item in data[type]:
cmds += [\
'%s %s float'%(type.upper()+plural,item),
'LOOKUP_TABLE default',
[[['\t'.join(map(str,data[type][item][:,j,k]))] for j in range(res[1])] for k in range(res[2])]
{True:'LOOKUP_TABLE default',False:''}[type.lower()[:3]=='sca'],
[[['\t'.join(map(unravel,data[type][item][:,j,k]))] for j in range(res[1])] for k in range(res[2])],
]
return cmds
@ -410,6 +416,7 @@ for filename in args:
dim[2] = min(dim/res)
else:
dim[2] = options.unitlength
if options.undeformed:
defgrad_av = numpy.eye(3)
else:
@ -429,9 +436,9 @@ for filename in args:
'scalar': {},\
}
reshape = {\
'tensor': (3,3),\
'vector': (3),\
'scalar': (),\
'tensor': [3,3],\
'vector': [3],\
'scalar': [],\
}
length = {\
'tensor': 9,\
@ -445,7 +452,7 @@ for filename in args:
col = column[datatype][what]
if col != -1:
print what,
fields[datatype][what] = numpy.reshape(values[:,col:col+length[datatype]],(res[0],res[1],res[2])+reshape[datatype])
fields[datatype][what] = numpy.reshape(values[:,col:col+length[datatype]],[res[0],res[1],res[2]]+reshape[datatype])
print '\n'
out = {}