content: import pandas as pd
  
  # TODO: Load up the dataset
  # Ensuring you set the appropriate header column names
  #
  df = pd.read_csv('Datasets/servo.data', names=['motor', 'screw', 'pgain', 'vgain', 'class'])
  
  print df.head()
  
  # TODO: Create a slice that contains all entries
  # having a vgain equal to 5. Then print the 
  # length of (# of samples in) that slice:
  #
  df_vgain = df[df.vgain == 5]
  
  print df_vgain.iloc[:,0].count()
  
  
  # TODO: Create a slice that contains all entries
  # having a motor equal to E and screw equal
  # to E. Then print the length of (# of
  # samples in) that slice:
  #
  # .. your code here ..
  
  df_eq = df[(df.motor == 'E') & (df.screw == 'E')]
  
  print df_eq.iloc[:,0].count()
  
  
  # TODO: Create a slice that contains all entries
  # having a pgain equal to 4. Use one of the
  # various methods of finding the mean vgain
  # value for the samples in that slice. Once
  # you've found it, print it:
  #
  
  df_pgain = df[df.pgain == 4]
  
  print df_pgain.vgain.mean(0)
  
  
  
  # TODO: (Bonus) See what happens when you run
  # the .dtypes method on your dataframe!
  
  print df.dtypes
  