added option for periodic averaging
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@ -4,9 +4,18 @@
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import os,sys
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import os,sys
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import math # noqa
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import math # noqa
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import numpy as np
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import numpy as np
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from optparse import OptionParser
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from optparse import OptionParser, OptionGroup
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import damask
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import damask
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#"https://en.wikipedia.org/wiki/Center_of_mass#Systems_with_periodic_boundary_conditions"
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def periodicAverage(Points, Box):
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theta = (Points/Box[1]) * (2.0*np.pi)
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xi = np.cos(theta)
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zeta = np.sin(theta)
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theta_avg = np.arctan2(-1.0*zeta.mean(), -1.0*xi.mean()) + np.pi
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Pmean = Box[1] * theta_avg/(2.0*np.pi)
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return Pmean
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scriptName = os.path.splitext(os.path.basename(__file__))[0]
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scriptName = os.path.splitext(os.path.basename(__file__))[0]
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scriptID = ' '.join([scriptName,damask.version])
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scriptID = ' '.join([scriptName,damask.version])
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@ -35,7 +44,23 @@ parser.add_option('-a','--all',
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action = 'store_true',
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action = 'store_true',
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help = 'apply mapping function also to grouping column')
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help = 'apply mapping function also to grouping column')
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parser.set_defaults(function = 'np.average')
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group = OptionGroup(parser, "periodic averaging", "")
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group.add_option('-p','--periodic',
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dest = 'periodic',
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action = 'store_true',
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help = 'calculate average in periodic space defined by periodic length [%default]')
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group.add_option('--boundary',
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dest = 'boundary', metavar = 'MIN MAX',
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type = 'float', nargs = 2,
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help = 'define periodic box end points %default')
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parser.add_option_group(group)
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parser.set_defaults(function = 'np.average',
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all = False,
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periodic = False,
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boundary = [0.0, 1.0])
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(options,filenames) = parser.parse_args()
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(options,filenames) = parser.parse_args()
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@ -92,7 +117,10 @@ for name in filenames:
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grpTable = np.empty((len(values), cols)) # initialize output
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grpTable = np.empty((len(values), cols)) # initialize output
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for i in xrange(len(values)): # iterate over groups (unique values in grpColumn)
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for i in xrange(len(values)): # iterate over groups (unique values in grpColumn)
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grpTable[i] = np.apply_along_axis(mapFunction,0,table.data[index[i]:index[i+1]]) # apply mapping function
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if options.periodic :
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grpTable[i] = periodicAverage(table.data[index[i]:index[i+1]],options.boundary) # apply periodicAverage mapping function
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else :
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grpTable[i] = np.apply_along_axis(mapFunction,0,table.data[index[i]:index[i+1]]) # apply mapping function
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if not options.all: grpTable[i,grpColumn] = table.data[index[i],grpColumn] # restore grouping column value
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if not options.all: grpTable[i,grpColumn] = table.data[index[i],grpColumn] # restore grouping column value
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table.data = grpTable
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table.data = grpTable
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