Cacher is the code snippet organizer for pro developers

# We'll treat anyone as under 16 as a child, and then use the apply technique with a function to create a new column

# Revisit Lecture 45 for a refresher on how to do this.

# First let's make a function to sort through the sex 
def male_female_child(passenger):
    # Take the Age and Sex
    age,sex = passenger
    # Compare the age, otherwise leave the sex
    if age < 16:
        return 'child'
    else:
        return sex
    

# We'll define a new column called 'person', remember to specify axis=1 for columns and not index
titanic_df['person'] = titanic_df[['Age','Sex']].apply(male_female_child,axis=1)