source: util/src/AnalyseStressResults.py.in@ e1a46d

#!@PYTHON@
#
# Creates an Analysis matrix for a number of nanotubes (n,m) with stress files

import sys, random, math
wrout = sys.stdout.write
wrerr = sys.stdout.write

# check arguments
if len(sys.argv) < 2:
  print "Usage: "+sys.argv[0]+" <input> <output>"
  sys.exit(1)

if sys.argv[1] in sys.argv[2]:
  print "Please state two different files!"
  sys.exit(1)
input = open(sys.argv[1], "r")
output = open(sys.argv[2], "w")

# parse lines into array
chiralities=[ ]
runs=[ ]
defects=[ ]
values=[ ]
for line in input:
  if "#" in line:
    continue
  entries=line.split()
  if not entries[0] in chiralities:
    chiralities.append(entries[0])
  if not entries[1] in runs:
    runs.append(entries[1])
  if not entries[2] in defects:
    defects.append(entries[2])
  values.append([entries[0], entries[1], entries[2], entries[3:]])
  for n in range(len(values[-1])):
    wrout("%s\t" % (values[-1][n]))
  wrout("\n")
input.close()

# sum values
avg_values=[ ]
for i in range(len(values)):
  if (values[i][1] == runs[0]):
    tmp=[ ]
    for j in range(len(values[i][3])):  # create array initialised to 0
      tmp.append(0.)
    avg_values.append([values[i][0],values[i][2],tmp[:]])
  # look for corresponding index to i in avg_value
  j=0
  while (j < len(avg_values)):
    if ((avg_values[j][0] == values[i][0]) and (avg_values[j][1] == values[i][2])):
      break
    j+=1
  if j < len(avg_values):
    for n in range(len(values[i][3])/2):
      avg_values[j][2][2*n]+=float(values[i][3][2*n]) # value
      avg_values[j][2][2*n+1]+=float(values[i][3][2*n+1])*float(values[i][3][2*n+1]) # value
  else:
    wrerr("Cannot sort in values for %s, %s, %s!\n" % (values[i][0], values[i][1], values[i][2]))

# output values
oldm=-1
output.write("#n\tm\tdefect\tPoss\tError\tYoungPot\tError\tYoungLag\tError\tPossLag\tError\tYoungLog\tError\tPossLog\tError\tEModulus\tError\n")
for i in range(len(avg_values)):
  chiral=avg_values[i][0].split("-")
  if oldm != chiral[1]:
     if oldm != -1:
       output.write("\n\n")
     oldm=chiral[1]
  output.write("%s\t%s\t%s\t" % (chiral[0],chiral[1],avg_values[i][1]))
  for n in range(0,len(avg_values[i][2])/2):
    output.write("%s\t%s\t" % (avg_values[i][2][2*n]/len(runs),math.sqrt(avg_values[i][2][2*n+1])))
  output.write("\n")
output.close()