text: #!/usr/bin/env python3
  """Simply script to quickly plot data from a log file."""
  
  import argparse
  import pandas
  import matplotlib
  matplotlib.use('Agg')
  import matplotlib.pyplot as plt
  
  
  def main():
      parser = argparse.ArgumentParser(description=__doc__)
      parser.add_argument("filename", type=str)
      parser.add_argument("outfile", type=str)
      parser.add_argument("columns", type=str, nargs="+")
      parser.add_argument("--base", type=str, default="0")
      args = parser.parse_args()
  
      data = pandas.read_csv(
          args.filename, delim_whitespace=True, header=0, low_memory=False
      )
  
      # convert to int if indices are given instead of names
      base = int(args.base) if args.base.isdigit() else args.base
      columns = [int(c) if c.isdigit() else c for c in args.columns]
  
      plt.figure(figsize=(12, 8))
      data.plot(x=base, y=columns, ax=plt.gca())
      plt.legend(loc='center left', bbox_to_anchor=(1.0, 0.5))
      plt.subplots_adjust(right=0.8)
      plt.savefig(args.outfile)
  
  
  if __name__ == "__main__":
      main()
  