old_contents: #!/usr/bin/env python
  from argparse import ArgumentParser
  from os.path import basename
  from matplotlib import pyplot
  from superman.baseline import BL_CLASSES
  from superman.preprocess import preprocess
  from superman.file_io import parse_spectrum, PARSERS
  
  
  ap = ArgumentParser()
  ap.add_argument('--no-legend', action='store_false', dest='legend',
                  help='Turn off figure legend')
  ap.add_argument('--pp', default='normalize:max', help='Preprocess string')
  ap.add_argument('--baseline', default='none', help='Baseline algorithm',
                  choices=BL_CLASSES.keys() + ['none'])
  ap.add_argument('--type', choices=PARSERS,
                  help=('Parser type to use for all files. If not provided, '
                        'all parsers will be attempted.'))
  ap.add_argument('file', nargs='+', help='Spectrum file(s).')
  args = ap.parse_args()
  
  fig, ax = pyplot.subplots(figsize=(12,6))
  for f in args.file:
    bands, intensities = parse_spectrum(f, filetype=args.type).T
    if args.baseline != 'none':
      bl_alg = BL_CLASSES[args.baseline]()
      intensities = bl_alg.fit_transform(bands, intensities)
    intensities = preprocess(intensities[None], args.pp).ravel()
    ax.plot(bands, intensities, label=basename(f))
  ax.yaxis.set_ticklabels([])
  ax.set_xlabel('Wavenumber (1/cm)')
  ax.set_ylabel('Intensity')
  if args.legend:
    pyplot.legend(loc='best')
  pyplot.tight_layout()
  pyplot.show()
  
new_contents: #!/usr/bin/env python
  from __future__ import print_function
  from argparse import ArgumentParser
  from os.path import basename
  from matplotlib import pyplot
  from superman.baseline import BL_CLASSES
  from superman.preprocess import preprocess
  from superman.file_io import parse_spectrum, PARSERS
  
  
  ap = ArgumentParser()
  ap.add_argument('--no-legend', action='store_false', dest='legend',
                  help='Turn off figure legend')
  ap.add_argument('--pp', default='normalize:max', help='Preprocess string')
  ap.add_argument('--baseline', default='none', help='Baseline algorithm',
                  choices=BL_CLASSES.keys() + ['none'])
  ap.add_argument('--type', choices=PARSERS,
                  help=('Parser type to use for all files. If not provided, '
                        'all parsers will be attempted.'))
  ap.add_argument('file', nargs='+', help='Spectrum file(s).')
  args = ap.parse_args()
  
  fig, ax = pyplot.subplots(figsize=(12,6))
  for f in args.file:
    print('Parsing', f)
    bands, intensities = parse_spectrum(f, filetype=args.type).T
    if args.baseline != 'none':
      bl_alg = BL_CLASSES[args.baseline]()
      intensities = bl_alg.fit_transform(bands, intensities)
    intensities = preprocess(intensities[None], args.pp).ravel()
    ax.plot(bands, intensities, label=basename(f))
  ax.yaxis.set_ticklabels([])
  ax.set_xlabel('Wavenumber (1/cm)')
  ax.set_ylabel('Intensity')
  if args.legend:
    pyplot.legend(loc='best')
  pyplot.tight_layout()
  pyplot.show()
  
subject: Print out which file is being parsed