DAMASK_EICMD/processing/post/rotateData.py

117 lines
4.7 KiB
Python
Executable File

#!/usr/bin/env python2.7
# -*- coding: UTF-8 no BOM -*-
import os,sys,math
import numpy as np
from optparse import OptionParser
import damask
scriptName = os.path.splitext(os.path.basename(__file__))[0]
scriptID = ' '.join([scriptName,damask.version])
# --------------------------------------------------------------------
# MAIN
# --------------------------------------------------------------------
parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
Rotate vector and/or tensor column data by given angle around given axis.
""", version = scriptID)
parser.add_option('-v','--vector',
dest = 'vector',
action = 'extend', metavar = '<string LIST>',
help = 'column heading of vector(s) to rotate')
parser.add_option('-t','--tensor',
dest = 'tensor',
action = 'extend', metavar = '<string LIST>',
help = 'column heading of tensor(s) to rotate')
parser.add_option('-r', '--rotation',
dest = 'rotation',
type = 'float', nargs = 4, metavar = ' '.join(['float']*4),
help = 'angle and axis to rotate data [%default]')
parser.add_option('-d', '--degrees',
dest = 'degrees',
action = 'store_true',
help = 'angles are given in degrees [%default]')
parser.set_defaults(rotation = (0.,1.,1.,1.), # no rotation about 1,1,1
degrees = False,
)
(options,filenames) = parser.parse_args()
if options.vector is None and options.tensor is None:
parser.error('no data column specified.')
toRadians = math.pi/180.0 if options.degrees else 1.0 # rescale degrees to radians
q = damask.Quaternion().fromAngleAxis(toRadians*options.rotation[0],options.rotation[1:])
R = q.asMatrix()
# --- loop over input files -------------------------------------------------------------------------
if filenames == []: filenames = [None]
for name in filenames:
try:
table = damask.ASCIItable(name = name,
buffered = False)
except: continue
damask.util.report(scriptName,name)
# ------------------------------------------ read header ------------------------------------------
table.head_read()
# ------------------------------------------ sanity checks ----------------------------------------
items = {
'tensor': {'dim': 9, 'shape': [3,3], 'labels':options.tensor, 'active':[], 'column': []},
'vector': {'dim': 3, 'shape': [3], 'labels':options.vector, 'active':[], 'column': []},
}
errors = []
remarks = []
column = {}
for type, data in items.items():
for what in data['labels']:
dim = table.label_dimension(what)
if dim != data['dim']: remarks.append('column {} is not a {}.'.format(what,type))
else:
items[type]['active'].append(what)
items[type]['column'].append(table.label_index(what))
if remarks != []: damask.util.croak(remarks)
if errors != []:
damask.util.croak(errors)
table.close(dismiss = True)
continue
# ------------------------------------------ assemble header --------------------------------------
table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
table.head_write()
# ------------------------------------------ process data ------------------------------------------
outputAlive = True
while outputAlive and table.data_read(): # read next data line of ASCII table
datatype = 'vector'
for column in items[datatype]['column']: # loop over all requested labels
table.data[column:column+items[datatype]['dim']] = \
q * np.array(list(map(float,table.data[column:column+items[datatype]['dim']])))
datatype = 'tensor'
for column in items[datatype]['column']: # loop over all requested labels
table.data[column:column+items[datatype]['dim']] = \
np.dot(R,np.dot(np.array(list(map(float,table.data[column:column+items[datatype]['dim']]))).\
reshape(items[datatype]['shape']),R.transpose())).reshape(items[datatype]['dim'])
outputAlive = table.data_write() # output processed line
# ------------------------------------------ output finalization -----------------------------------
table.close() # close ASCII tables