pandas map

note: u can assigne values in each of the common values in the dataframe 

df['new_coloum'] = df['coloum'].map({'value_1':1,'value_2':0})

def f(x):
    return Series([x.min(), x.max()], index=['min', 'max'])

>>> s.map({'cat': 'kitten', 'dog': 'puppy'})
0   kitten
1    puppy
2      NaN
3      NaN
dtype: object