content: #!/usr/bin/env python
  
  import glob 
  import numpy as np
  import matplotlib.pyplot as plt
  
  import os
  import sys
  
  
  pathname = os.path.dirname(sys.argv[0])
  if pathname:
      os.chdir(pathname)
  
  n_dim = None
  trains = []
  for fname in glob.glob("tl*"):
      t = np.loadtxt(fname)
      trains.append(t)
  
  tests = []
  for fname in glob.glob("tt*"):
      t = np.loadtxt(fname)
      tests.append(t)
  
  trial_results= []
  for fname in glob.glob("rtl*"):
      t = np.loadtxt(fname)
      trial_results.append(t)
  
  test_results= []
  for fname in glob.glob("rtt*"):
      t = np.loadtxt(fname)
      test_results.append(t)
  
  fig = plt.figure()
  ax = fig.add_subplot(111, aspect="equal")
  for d in trains:
      ax.plot(d[:,1] +d[:,7]*6, d[:,2] +d[:,8]*6, color="blue", lw=3, alpha=0.5)
  for d in tests: 
      ax.plot(d[:,1] +d[:,7]*6, d[:,2] +d[:,8]*6, color="red",  lw=3, alpha=0.5)
  for d in trial_results:
      ax.plot(d[:,1] +d[:,7]*6, d[:,2] +d[:,8]*6, color=[0,0,.5],  lw=2)
  for d in test_results:
      ax.plot(d[:,1] +d[:,7]*6, d[:,2] +d[:,8]*6, color=[.5,0,0],  lw=2)
  plt.show()
  
  