now compatible with new table.data_readArray method

processing/pre/geom_fromVoronoiTessellation.py

@@ -122,15 +122,30 @@ for file in files:
   theTable = damask.ASCIItable(file['input'],file['output'])
   theTable.head_read()
 
-  coords = theTable.data_asArray(['x','y','z'])
+  labels = ['x','y','z']
-  if numpy.all(theTable.labels_index(['phi1','Phi','phi2']) != -1):
+  index = 0
-    eulers = theTable.data_asArray(['phi1','Phi','phi2'])
+  if numpy.all(theTable.labels_index(['phi1','Phi','phi2'])) != -1:
-  if theTable.labels_index('microstructure') != -1:
+    hasEulers = True
-    grain = theTable.data_asArray(['microstructure'])
+    labels += ['phi1','Phi','phi2']
-    grainIDs = numpy.unique(grain).astype('i')
+    index += 3
   else:
-    grain = 1+numpy.arange(len(eulers))
+    hasEulers = False
-    grainIDs = grain
+  eulerCol = index
+
+  if theTable.labels_index('microstructure') != -1:
+    hasGrains = True
+    labels += ['microstructure']
+    index += 1
+  else:
+    hasGrains = False
+  grainCol = index
+
+  theTable.data_readArray(labels)
+  coords = theTable.data[:,0:3]
+  eulers = theTable.data[:,eulerCol:eulerCol+3] if hasEulers else numpy.zeros(3*len(coords))
+  grain = theTable.data[:,grainCol] if hasGrains else 1+numpy.arange(len(eulers))
+  grainIDs = numpy.unique(grain).astype('i')
+
 
 #--- interpret header ----------------------------------------------------------------------------
   info = {