old_contents: import numpy as np
  import matplotlib.pyplot as plt
  
  from matplotlib import rc
  rc('font',**{'family':'sans-serif','sans-serif':['Arial']})
  
  curve1 = np.loadtxt(fname='default.txt')
  curve4 = np.loadtxt(fname='low.txt')
  curve16 = np.loadtxt(fname='high.txt')
  curve64 = np.loadtxt(fname='medium.txt')
  curve256 = np.loadtxt(fname='custom-8.txt')
  
  plt.ion()
  plt.clf()
  
  plt.suptitle('Audio Taper: Volume Curve Transformation', fontsize=14)
  plt.xlabel('Volume Level (%)')
  plt.ylabel('Output Level (dB)')
  plt.plot(curve1[:, 1], lw=1.5, dashes=(10, 2), label='Default Curve')
  plt.plot(curve4[:, 1], lw=1.5, label='Low (2)')
  plt.plot(curve16[:, 1], lw=1.5, label='Medium (4)')
  plt.plot(curve64[:, 1], lw=1.5, label='High (6)')
  plt.plot(curve256[:, 1], lw=1.5, label='Custom (8)')
  
  plt.legend(fancybox=True, shadow=True, ncol=2, loc=4, fontsize=12)
  
  plt.savefig('curve.pdf', bbox_inches='tight')
  
new_contents: # This script demonstrates how to plot volume curve data.
  # Requires numpy and matplotlib
  
  import numpy as np
  import matplotlib.pyplot as plt
  
  from matplotlib import rc
  rc('font',**{'family':'sans-serif','sans-serif':['Arial']})
  
  curve1 = np.loadtxt(fname='default.txt')
  curve4 = np.loadtxt(fname='low.txt')
  curve16 = np.loadtxt(fname='high.txt')
  curve64 = np.loadtxt(fname='medium.txt')
  curve256 = np.loadtxt(fname='custom-8.txt')
  
  plt.ion()
  plt.clf()
  
  plt.suptitle('Audio Taper: Volume Curve Transformation', fontsize=14)
  plt.xlabel('Volume Level (%)')
  plt.ylabel('Output Level (dB)')
  plt.plot(curve1[:, 1], lw=1.5, dashes=(10, 2), label='Default Curve')
  plt.plot(curve4[:, 1], lw=1.5, label='Low (2)')
  plt.plot(curve16[:, 1], lw=1.5, label='Medium (4)')
  plt.plot(curve64[:, 1], lw=1.5, label='High (6)')
  plt.plot(curve256[:, 1], lw=1.5, label='Custom (8)')
  
  plt.legend(fancybox=True, shadow=True, ncol=2, loc=4, fontsize=12)
  
  plt.savefig('curve.pdf', bbox_inches='tight')
  
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