diff --git a/lib/scripts/csv2lyx.py b/lib/scripts/csv2lyx.py index b6a8d7db73..408b2afa7a 100644 --- a/lib/scripts/csv2lyx.py +++ b/lib/scripts/csv2lyx.py @@ -99,13 +99,13 @@ If no options are given csv2lyx will try to infer the CSV type of the csvfile, """ parser = optparse.OptionParser(**args) -parser.set_defaults(excel='', column_sep='') -parser.add_option("-e", "--excel", metavar="CHAR", - help="""CHAR corresponds to a CSV type: +parser.set_defaults(excel ='', column_sep = '') +parser.add_option("-e", "--excel", metavar ="CHAR", + help = """CHAR corresponds to a CSV type: 'e': Excel-generated CSV file 't': Excel-generated TAB-delimited CSV file""") -parser.add_option("-s", "--separator", dest="column_sep", - help= """column separator +parser.add_option("-s", "--separator", dest = "column_sep", + help = """column separator 't' means Tab""") group = optparse.OptionGroup(parser, "Remarks", """If your CSV file contains special characters (e. g. umlauts, @@ -119,7 +119,7 @@ parser.add_option_group(group) if len(args) == 1: infile = args[0] fout = sys.stdout -elif len(args) ==2: +elif len(args) == 2: infile = args[0] fout = open(args[1], 'w') else: @@ -133,23 +133,23 @@ dialects = {'' : None, 'e' : 'excel', 't' : 'excel-tab'} if options.excel not in dialects: parser.print_help() sys.exit(1) -dialect= dialects[options.excel] +dialect = dialects[options.excel] # Set Tab, if necessary if options.column_sep == 't': options.column_sep = "\t" # when no special column separator is given, try to detect it: -if options.column_sep or dialect : - reader = csv.reader(open(infile, "rb"), dialect= dialect, delimiter=options.column_sep) +if options.column_sep and dialect : + reader = csv.reader(open(infile, "rb"), dialect = dialect, delimiter = options.column_sep) else: guesser = csv.Sniffer() input_file = "".join(open(infile,'rb').readlines()) try: dialect = guesser.sniff(input_file) - reader = csv.reader(open(infile, "rb"), dialect= dialect) + reader = csv.reader(open(infile, "rb"), dialect = dialect) except: - reader = csv.reader(open(infile, "rb"), dialect= dialect, delimiter=',') + reader = csv.reader(open(infile, "rb"), dialect = dialect, delimiter =',') # read input num_cols = 1 # max columns