added option to select between cell-centered (as before) or vertex-centered data
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Philip Eisenlohr
parent
c78227cec1
commit
ed08dfc2be
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@ -281,26 +281,38 @@ def vtk_writeASCII_box(diag,defgrad):
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# ----------------------- MAIN -------------------------------
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parser = OptionParser(option_class=extendedOption, usage='%prog [options] datafile[s]', description = """
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Produce VTK file from data field. Coordinates are taken from (consecutive) ip.x, ip.y, and ip.z columns.
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Produce VTK file from data field. Coordinates are taken from (consecutive) x, y, and z columns.
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""" + string.replace('$Id$','\n','\\n')
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)
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parser.add_option('-s', '--scalar', action='extend', dest='scalar', type='string', \
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help='list of scalars to visualize')
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parser.add_option('-v', '--vector', action='extend', dest='vector', type='string', \
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help='list of vectors to visualize')
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parser.add_option('-d', '--deformation', dest='defgrad', type='string', \
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help='heading of deformation gradient columns [%default]')
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parser.add_option('-m', '--mesh', dest='output_mesh', action='store_true', \
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help='produce VTK mesh file [%default]')
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parser.add_option('-p', '--points', dest='output_points', action='store_true', \
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parser.add_option('--reference', dest='undeformed', action='store_true',\
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help='map results to reference (undeformed) configuration')
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parser.add_option('-c','--cell', dest='cell', action='store_true',\
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help='data is cell-centered')
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parser.add_option('-p','--vertex', dest='cell', action='store_false',\
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help='data is vertex-centered')
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parser.add_option('--mesh', dest='output_mesh', action='store_true', \
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help='produce VTK mesh file')
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parser.add_option('--nomesh', dest='output_mesh', action='store_false', \
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help='omit VTK mesh file')
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parser.add_option('--points', dest='output_points', action='store_true', \
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help='produce VTK points file [%default]')
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parser.add_option('-b', '--box', dest='output_box', action='store_true', \
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help='produce VTK box file [%default]')
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parser.add_option('--scaling', dest='scaling', type='int', nargs=1, \
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help='scaling of fluctuastion [%default]')
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parser.add_option('--undeformed', dest='undeformed', action='store_true',\
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help='do not calculate average deformation of ve [%default]')
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parser.add_option('-u', '--unitlength', dest='unitlength', type='float', nargs=1, \
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parser.add_option('--nopoints', dest='output_points', action='store_false', \
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help='omit VTK points file')
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parser.add_option('--box', dest='output_box', action='store_true', \
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help='produce VTK box file')
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parser.add_option('--nobox', dest='output_box', action='store_false', \
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help='omit VTK box file')
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parser.add_option('--scaling', dest='scaling', type='int', \
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help='scaling of fluctuation [%default]')
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parser.add_option('-u', '--unitlength', dest='unitlength', type='float', \
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help='set unit length for 2D model [%default]')
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parser.set_defaults(defgrad = 'f')
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parser.set_defaults(scalar = [])
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@ -312,6 +324,7 @@ parser.set_defaults(output_box = False)
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parser.set_defaults(scaling = 1)
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parser.set_defaults(undeformed = False)
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parser.set_defaults(unitlength = 0.0)
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parser.set_defaults(cell = True)
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(options, args) = parser.parse_args()
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@ -333,13 +346,13 @@ for filename in args:
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maxcol = 0
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for col,head in enumerate(headings):
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if head == 'ip.x':
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ipcol = col
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if head == {True:'ip.x',False:'node.x'}[options.cell]:
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locol = col
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maxcol = max(maxcol,col+3)
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break
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if ipcol < 0:
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print 'missing ip coordinates..!'
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if locol < 0:
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print 'missing coordinates..!'
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continue
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column['tensor'] = {}
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@ -374,37 +387,38 @@ for filename in args:
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break
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values = numpy.array(sorted([map(transliterateToFloat,line.split()[:maxcol]) for line in content[headrow+1:]],
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key=lambda x:(x[ipcol+0],x[ipcol+1],x[ipcol+2])), # sort with z as fastest and x as slowest index
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key=lambda x:(x[locol+0],x[locol+1],x[locol+2])), # sort with z as fastest and x as slowest index
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'd')
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N = len(values)
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grid = [{},{},{}]
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for j in range(3):
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for i in range(N):
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grid[j][str(values[i,ipcol+j])] = True
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for j in xrange(3):
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for i in xrange(N):
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grid[j][str(values[i,locol+j])] = True
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res = numpy.array([len(grid[0]),\
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len(grid[1]),\
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len(grid[2]),],'i')
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dim = numpy.ones(3)
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print options.unitlength
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for i,r in enumerate(res):
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if r > 1:
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dim[i] = (max(map(float,grid[i].keys()))-min(map(float,grid[i].keys())))*r/(r-1.0)
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if res[2]==1: # for 2D case set undefined dimension to given unitlength or alternatively give it the lengt of the smallest element
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if res[2]==1: # for 2D case set undefined dimension to given unitlength or alternatively give it the length of the smallest element
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if options.unitlength == 0.0:
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dim[2] = 1.0/(min([float(res[0])/dim[0]],[float(res[1])/dim[1]])[0])
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dim[2] = min(dim/res)
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else:
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dim[2] = options.unitlength
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if options.undeformed:
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defgrad_av = numpy.array([[1.0,0.0,0.0],[0.0,1.0,0.0],[0.0,0.0,1.0]])
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else:
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defgrad_av = numpy.eye(3)
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else: # @Martin: why do we have to reshape this data when just averaging??
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defgrad_av = postprocessingMath.tensor_avg(res[0],res[1],res[2],\
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numpy.reshape(values[:,column['tensor'][options.defgrad]:
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column['tensor'][options.defgrad]+9],
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(res[0],res[1],res[2],3,3)))
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# @Martin: any reason for having 3 args for res but a single vector arg for dim?
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centroids = postprocessingMath.deformed_fft(res[0],res[1],res[2],dim,\
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numpy.reshape(values[:,column['tensor'][options.defgrad]:
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column['tensor'][options.defgrad]+9],
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