classes = [pd.DataFrame(titanic[titanic.Pclass == i]['Age']) for i in range(1,4)]
f, ax = plt.subplots(1,3, sharey=True,figsize=(16,5))
ax[0].set_ylabel('Scaled number of passengers')
for i in range(3):
    ax[i].hist(classes[i].values, 30,
        color='blue',
        #linewidths=1,
        normed=True)
    ax[i].set_title('Class '+str(i+1))
    ax[i].set_xlabel('Age')
plt.show()
#classes[0]
#titanic[titanic.Pclass == 1].groupby(['Age']).size()/maxCount
#maxCount
#classes[0].values
#np.random.randn(1000)