# In[23]:
cabin_df["Pclass"] = classes.values
class_list2 = cabin_df.Pclass
pclass2 = list(set(class_list2))
pclass2
# In[24]:
sns.factorplot('Cabin', hue = "Pclass", data= cabin_df, kind = 'count', order = cabin, hue_order = pclass2)
# In[28]:
cabin_df.Cabin = cabin_df[cabin_df.Cabin != 'T']
# In[35]:
sns.factorplot('Cabin', data = cabin_df, kind = 'count', palette = 'summer_d', order = cabin )
# In[48]:
# The column 'Embarked' can take on 3 possible values, C,Q, or S for Cherbourg, Queenstown, Southhampton
sns.factorplot('Embarked', data = titanic_df, hue = 'Pclass', kind = 'count', order = ['C', 'Q', 'S'] , hue_order = [1, 2, 3])
# In[51]:
