old_contents: import numpy as np
  import matplotlib.pyplot as plt
  import matplotlib.ticker as ticker
  import matplotlib.colors
  import sys
  
  # change font family to match math
  #plt.rc('font', family='serif')
  
  fontsize = 18
  font = {'family' : 'sans-serif',
  #        'serif' : 'Times Regular',
          'size'   : fontsize}
  matplotlib.rc('font', **font)
  
  output_dir = "plots"
  
  # load in data
  data_fname = sys.argv[1]
  
  labels = np.unique(np.loadtxt(data_fname, usecols=[2], dtype='str'))
  
  print labels
  
  data = np.loadtxt(data_fname, converters = {2: lambda y: np.where(labels==y)[0]})
  
  print data
  
  recall_idx = 0
  precision_idx = 1
  model_idx = 2
  
  # initialize figures
  fig1 = plt.figure()
  ax1 = fig1.add_subplot(111)
  ax1.set_title("Recall vs. Precision", fontsize=fontsize)
  ax1.set_xlabel("Recall")
  ax1.set_ylabel("Precision")
  for i in range(len(labels)):
  	indices = np.where(data[:,model_idx] == i)
  	ax1.plot(data[indices,recall_idx][0], data[indices,precision_idx][0], label=labels[i])
  
  ax1.yaxis.set_major_formatter(ticker.FuncFormatter(lambda y, pos: ('%.2f')%(y)))
  
  # add legend
  ax1.legend()
  
  #fig1.savefig("%s/compare-accuracy-speed-margin.pdf" % (output_dir), bbox_inches='tight')
  
  plt.show()
  
new_contents: import numpy as np
  import matplotlib.pyplot as plt
  import matplotlib.ticker as ticker
  import matplotlib.colors
  import sys
  
  # change font family to match math
  #plt.rc('font', family='serif')
  
  fontsize = 18
  font = {'family' : 'sans-serif',
  #        'serif' : 'Times Regular',
          'size'   : fontsize}
  matplotlib.rc('font', **font)
  
  output_dir = "doc/naacl2016/"
  
  # load in data
  data_fname = sys.argv[1]
  
  labels = np.unique(np.loadtxt(data_fname, usecols=[2], dtype='str'))
  
  print labels
  
  data = np.loadtxt(data_fname, converters = {2: lambda y: np.where(labels==y)[0]})
  
  print data
  
  recall_idx = 0
  precision_idx = 1
  model_idx = 2
  
  # initialize figures
  fig1 = plt.figure()
  ax1 = fig1.add_subplot(111)
  ax1.set_title("Recall vs. Precision", fontsize=fontsize)
  ax1.set_xlabel("Recall")
  ax1.set_ylabel("Precision")
  for i in range(len(labels)):
  	indices = np.where(data[:,model_idx] == i)
  	ax1.plot(data[indices,recall_idx][0], data[indices,precision_idx][0], label=labels[i])
  
  ax1.yaxis.set_major_formatter(ticker.FuncFormatter(lambda y, pos: ('%.2f')%(y)))
  
  # add legend
  ax1.legend()
  
  #fig1.savefig("%s/pr-curve.pdf" % (output_dir), bbox_inches='tight')
  
  plt.show()
  
subject: fix fname in other plotter