DAMASK_EICMD/processing/post/addGaussian.py

131 lines
4.8 KiB
Python
Executable File

#!/usr/bin/env python3
# -*- coding: UTF-8 no BOM -*-
import os,sys
import numpy as np
from optparse import OptionParser
from scipy import ndimage
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 option(s) [ASCIItable(s)]', description = """
Add column(s) containing Gaussian filtered values of requested column(s).
Operates on periodic and non-periodic ordered three-dimensional data sets.
For details see scipy.ndimage documentation.
""", version = scriptID)
parser.add_option('-p','--pos','--periodiccellcenter',
dest = 'pos',
type = 'string', metavar = 'string',
help = 'label of coordinates [%default]')
parser.add_option('-s','--scalar',
dest = 'scalar',
action = 'extend', metavar = '<string LIST>',
help = 'label(s) of scalar field values')
parser.add_option('-o','--order',
dest = 'order',
type = int,
metavar = 'int',
help = 'order of the filter [%default]')
parser.add_option('--sigma',
dest = 'sigma',
type = float,
metavar = 'float',
help = 'standard deviation [%default]')
parser.add_option('--periodic',
dest = 'periodic',
action = 'store_true',
help = 'assume periodic grain structure')
parser.set_defaults(pos = 'pos',
order = 0,
sigma = 1,
)
(options,filenames) = parser.parse_args()
if options.scalar is None:
parser.error('no data column specified.')
# --- 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 = {
'scalar': {'dim': 1, 'shape': [1], 'labels':options.scalar, 'active':[], 'column': []},
}
errors = []
remarks = []
column = {}
if table.label_dimension(options.pos) != 3: errors.append('coordinates {} are not a vector.'.format(options.pos))
else: colCoord = table.label_index(options.pos)
for type, data in items.items():
for what in (data['labels'] if data['labels'] is not None else []):
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:]))
for type, data in items.items():
for label in data['active']:
table.labels_append(['Gauss{}({})'.format(options.sigma,label)]) # extend ASCII header with new labels
table.head_write()
# --------------- figure out size and grid ---------------------------------------------------------
table.data_readArray()
grid,size = damask.util.coordGridAndSize(table.data[:,table.label_indexrange(options.pos)])
# ------------------------------------------ process value field -----------------------------------
stack = [table.data]
for type, data in items.items():
for i,label in enumerate(data['active']):
stack.append(ndimage.filters.gaussian_filter(table.data[:,data['column'][i]],
options.sigma,options.order,
mode = 'wrap' if options.periodic else 'nearest'
).reshape([table.data.shape[0],1])
)
# ------------------------------------------ output result -----------------------------------------
if len(stack) > 1: table.data = np.hstack(tuple(stack))
table.data_writeArray('%.12g')
# ------------------------------------------ output finalization -----------------------------------
table.close() # close input ASCII table (works for stdin)