script to delete existing columns from ASCIItable

This commit is contained in:
Philip Eisenlohr 2012-02-14 12:04:37 +00:00
parent 30c55c3142
commit 8671b8ed38
3 changed files with 130 additions and 0 deletions

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@ -113,6 +113,7 @@ class ASCIItable():
# ------------------------------------------------------------------ # ------------------------------------------------------------------
def data_write(self): def data_write(self):
if len(self.data) == 0: return
if isinstance(self.data[0],list): if isinstance(self.data[0],list):
self.output_write (['\t'.join(map(str,items)) for items in self.data]) self.output_write (['\t'.join(map(str,items)) for items in self.data])
else: else:

128
processing/post/deleteColumn.py Executable file
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@ -0,0 +1,128 @@
#!/usr/bin/env python
import os,re,sys,math,string,damask
from optparse import OptionParser, Option
# -----------------------------
class extendableOption(Option):
# -----------------------------
# used for definition of new option parser action 'extend', which enables to take multiple option arguments
# taken from online tutorial http://docs.python.org/library/optparse.html
ACTIONS = Option.ACTIONS + ("extend",)
STORE_ACTIONS = Option.STORE_ACTIONS + ("extend",)
TYPED_ACTIONS = Option.TYPED_ACTIONS + ("extend",)
ALWAYS_TYPED_ACTIONS = Option.ALWAYS_TYPED_ACTIONS + ("extend",)
def take_action(self, action, dest, opt, value, values, parser):
if action == "extend":
lvalue = value.split(",")
values.ensure_value(dest, []).extend(lvalue)
else:
Option.take_action(self, action, dest, opt, value, values, parser)
# --------------------------------------------------------------------
# MAIN
# --------------------------------------------------------------------
parser = OptionParser(option_class=extendableOption, usage='%prog options [file[s]]', description = """
Remove column(s) containing scalar, vectorial, and/or tensorial data.
""" + string.replace('$Id$','\n','\\n')
)
parser.add_option('-v','--vector', dest='vector', action='extend', type='string', \
help='heading of columns containing 3x1 vector field values')
parser.add_option('-t','--tensor', dest='tensor', action='extend', type='string', \
help='heading of columns containing 3x3 tensor field values')
parser.add_option('-s','--special', dest='special', action='extend', type='string', \
help='heading of columns containing field values of special dimension')
parser.add_option('-d','--dimension', dest='N', action='store', type='int', \
help='dimension of special field values [%default]')
parser.set_defaults(vector = [])
parser.set_defaults(tensor = [])
parser.set_defaults(special = [])
parser.set_defaults(N = 1)
(options,filenames) = parser.parse_args()
if len(options.vector) + len(options.tensor) + len(options.special)== 0:
parser.error('no data column specified...')
datainfo = { # list of requested labels per datatype
'vector': {'len':3,
'label':[]},
'tensor': {'len':9,
'label':[]},
'special': {'len':options.N,
'label':[]},
}
if options.vector != None: datainfo['vector']['label'] += options.vector
if options.tensor != None: datainfo['tensor']['label'] += options.tensor
if options.special != None: datainfo['special']['label'] += options.special
# ------------------------------------------ setup file handles ---------------------------------------
files = []
if filenames == []:
files.append({'name':'STDIN', 'input':sys.stdin, 'output':sys.stdout})
else:
for name in filenames:
if os.path.exists(name):
files.append({'name':name, 'input':open(name), 'output':open(name+'_tmp','w')})
# ------------------------------------------ loop over input files ---------------------------------------
for file in files:
if file['name'] != 'STDIN': print file['name']
table = damask.ASCIItable(file['input'],file['output'],False) # make unbuffered ASCII_table
table.head_read() # read ASCII header info
table.info_append(string.replace('$Id$','\n','\\n') + \
'\t' + ' '.join(sys.argv[1:]))
# --------------- figure out columns to process
columns = []
for datatype,info in datainfo.items():
for label in info['label']:
key = {True :'1_%s',
False:'%s' }[info['len']>1]%label
if key not in table.labels:
sys.stderr.write('column %s not found...\n'%key)
else:
columns.append([table.labels.index(key),info['len']]) # remember column and extent of requested data
if (info['len'] == 1):
table.labels.remove(label) # remove single column head
else:
for i in xrange(info['len']):
table.labels.remove('%i_%s'%(i+1,label)) # remove multidimensional column head
columns.sort(key=lambda x:x[0],reverse=True) # sort from highest column to delete backwards
# ------------------------------------------ assemble header ---------------------------------------
table.head_write()
# ------------------------------------------ process data ---------------------------------------
while table.data_read(): # read next data line of ASCII table
for col,len in columns: # loop over removal candidates
del table.data[col:col+len] # remove each associated entry
table.data_write() # output processed line
# ------------------------------------------ output result ---------------------------------------
table.output_flush() # just in case of buffered ASCII table
file['input'].close() # close input ASCII table
if file['name'] != 'STDIN':
file['output'].close # close output ASCII table
os.rename(file['name']+'_tmp',file['name']) # overwrite old one with tmp new

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@ -100,6 +100,7 @@ bin_link = { \
'addStrainTensors.py', 'addStrainTensors.py',
'addCompatibilityMismatch.py', 'addCompatibilityMismatch.py',
'averageDown.py', 'averageDown.py',
'deleteColumn.py',
'mentat_colorMap.py', 'mentat_colorMap.py',
'postResults.py', 'postResults.py',
'spectral_iterationCount.py', 'spectral_iterationCount.py',