text: 
  
  import math
  import matplotlib.pyplot as plt
  import pandas as pd
  
  df = pd.read_csv('../../datos-ejemplo/iris.data', header=None)
  num_bins = 8
  print(df)
  fig, ax = plt.subplots()
  #print (df.mpg)
  # the histogram of the data
  n, bins, patches = ax.hist( df[0], num_bins)
  n, bins, patches = ax.hist( df[1], num_bins)
  # add a 'best fit' line
  ax.set_xlabel('Goles')
  ax.set_ylabel('Frecuencia')
  ax.set_title(r'Goles por partido en Copas del Mundo hasta 2014')
  
  # Tweak spacing to prevent clipping of ylabel
  fig.tight_layout()
  plt.show()