DAMASK_EICMD/processing/post/sortTable.py

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#!/usr/bin/env python
# -*- coding: UTF-8 no BOM -*-
import os,sys,string
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 = """
Sort rows by given column label(s).
Examples:
With coordinates in columns "x", "y", and "z"; sorting with x slowest and z fastest varying index: --label x,y,z.
""", version = scriptID)
parser.add_option('-l','--label',
dest = 'keys',
action = 'extend', metavar = '<string LIST>',
help = 'list of column labels (a,b,c,...)')
parser.add_option('-r','--reverse',
dest = 'reverse',
action = 'store_true',
help = 'sort in reverse')
parser.set_defaults(key = [],
reverse = False,
)
(options,filenames) = parser.parse_args()
if options.keys == None:
parser.error('No sorting column(s) specified.')
options.keys.reverse() # numpy sorts with most significant column as last
# --- loop over input files -------------------------------------------------------------------------
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if filenames == []: filenames = [None]
for name in filenames:
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try:
table = damask.ASCIItable(name = name,
buffered = False)
except: continue
damask.util.report(scriptName,name)
# ------------------------------------------ assemble header ---------------------------------------
table.head_read()
table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
table.head_write()
# ------------------------------------------ process data ---------------------------------------
table.data_readArray()
cols = []
remarks = []
for i,column in enumerate(table.label_index(options.keys)):
if column < 0:
remarks.append("label {0} not present.".format(options.keys[i]))
else:
cols += [table.data[:,column]]
if remarks != []: damask.util.croak(remarks)
ind = np.lexsort(cols) if cols != [] else np.arange(table.data.shape[0])
if options.reverse: ind = ind[::-1]
# ------------------------------------------ output result ---------------------------------------
table.data = table.data[ind]
table.data_writeArray()
table.close() # close ASCII table