223031012
/
DAMASK_EICMD
mirror of https://github.com/achalhp/DAMASK_EICMD.git
1
0
Fork 0
Code Issues Projects Releases Wiki Activity

allow coordinates to not be in consecutive columns 

keep origin of original data set
This commit is contained in:
Christoph Kords 2013-06-20 07:36:35 +00:00
parent 8007581c70
commit 0740845d81
1 changed files with 14 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

19
processing/post/averageDown.py
View File

@ -102,7 +102,9 @@ for file in files:
try: try:
locationCol = table.labels.index('%s.x'%options.coords) # columns containing location data locationCol = []
for i,direction in enumerate(['x','y','z']):
locationCol.append(table.labels.index('%s.%s'%(options.coords,direction))) # columns containing location data
elemCol = table.labels.index('elem') # columns containing location data elemCol = table.labels.index('elem') # columns containing location data
except ValueError: except ValueError:
print 'no coordinate data or element data found...' print 'no coordinate data or element data found...'
@ -111,8 +113,8 @@ for file in files:
if (any(options.resolution)==0 or any(options.dimension)==0.0): if (any(options.resolution)==0 or any(options.dimension)==0.0):
grid = [{},{},{}] grid = [{},{},{}]
while table.data_read(): # read next data line of ASCII table while table.data_read(): # read next data line of ASCII table
for j in xrange(3): for j in range(3):
grid[j][str(table.data[locationCol+j])] = True # remember coordinate along x,y,z grid[j][str(table.data[locationCol[j]])] = True # remember coordinate along x,y,z
resolution = numpy.array([len(grid[0]),\ resolution = numpy.array([len(grid[0]),\
len(grid[1]),\ len(grid[1]),\
len(grid[2]),],'i') # resolution is number of distinct coordinates found len(grid[2]),],'i') # resolution is number of distinct coordinates found
@ -121,9 +123,15 @@ for file in files:
max(map(float,grid[1].keys()))-min(map(float,grid[1].keys())),\ max(map(float,grid[1].keys()))-min(map(float,grid[1].keys())),\
max(map(float,grid[2].keys()))-min(map(float,grid[2].keys())),\ max(map(float,grid[2].keys()))-min(map(float,grid[2].keys())),\
],'d') # dimension from bounding box, corrected for cell-centeredness ],'d') # dimension from bounding box, corrected for cell-centeredness
origin = resolution/numpy.maximum(numpy.ones(3,'d'),resolution-1.0)* \
numpy.array([min(map(float,grid[0].keys())),\
min(map(float,grid[1].keys())),\
min(map(float,grid[2].keys())),\
],'d')
else: else:
resolution = numpy.array(options.resolution,'i') resolution = numpy.array(options.resolution,'i')
dimension = numpy.array(options.dimension,'d') dimension = numpy.array(options.dimension,'d')
origin = numpy.zeros(3,'d')
if resolution[2] == 1: if resolution[2] == 1:
options.packing[2] = 1 options.packing[2] = 1
@ -156,13 +164,14 @@ for file in files:
data /= packing.prod() data /= packing.prod()
posOffset = (shift+[0.5,0.5,0.5])*dimension/resolution*packing
elementSize = dimension/resolution*packing elementSize = dimension/resolution*packing
posOffset = (shift+[0.5,0.5,0.5])*elementSize
elem = 1 elem = 1
for c in xrange(downSized[2]): for c in xrange(downSized[2]):
for b in xrange(downSized[1]): for b in xrange(downSized[1]):
for a in xrange(downSized[0]): for a in xrange(downSized[0]):
data[a,b,c,locationCol:locationCol+3] = posOffset + [a,b,c]*elementSize for i,x in enumerate([a,b,c]):
data[a,b,c,locationCol[i]] = posOffset[i] + x*elementSize[i] + origin[i]
data[a,b,c,elemCol] = elem data[a,b,c,elemCol] = elem
table.data = data[a,b,c,:].tolist() table.data = data[a,b,c,:].tolist()
table.data_write() # output processed line table.data_write() # output processed line