In [1]:

    

# import pandas
import pandas as pd


    

In [2]:

    

# create a dataset
raw_data = {'score': [1,2,3], 
        'tags': [['apple','pear','guava'],['truck','car','plane'],['cat','dog','mouse']]}
df = pd.DataFrame(raw_data, columns = ['score', 'tags'])

# view the dataset
df


    

    
Out[2]:






  

    

      

      
score
      
tags
    
  
  

    

      
0
      
1
      
[apple, pear, guava]
    
    

      
1
      
2
      
[truck, car, plane]
    
    

      
2
      
3
      
[cat, dog, mouse]
    
  

In [3]:

    

# expand df.tags into its own dataframe
tags = df['tags'].apply(pd.Series)

# rename each variable is tags
tags = tags.rename(columns = lambda x : 'tag_' + str(x))

# view the tags dataframe
tags


    

    
Out[3]:






  

    

      

      
tag_0
      
tag_1
      
tag_2
    
  
  

    

      
0
      
apple
      
pear
      
guava
    
    

      
1
      
truck
      
car
      
plane
    
    

      
2
      
cat
      
dog
      
mouse
    
  

In [4]:

    

# join the tags dataframe back to the original dataframe
pd.concat([df[:], tags[:]], axis=1)


    

    
Out[4]:






  

    

      

      
score
      
tags
      
tag_0
      
tag_1
      
tag_2
    
  
  

    

      
0
      
1
      
[apple, pear, guava]
      
apple
      
pear
      
guava
    
    

      
1
      
2
      
[truck, car, plane]
      
truck
      
car
      
plane
    
    

      
2
      
3
      
[cat, dog, mouse]
      
cat
      
dog
      
mouse