find unique values row wise on comma separated values

Question

For a dataframe like below:

df = pd.DataFrame({'col':['abc,def,ghi,jkl,abc','abc,def,ghi,def,ghi']})

How to get unique values of the column col row wise in a new column like as follows:

          col             unique_col
0  abc,def,ghi,jkl,abc    abc,def,ghi,jkl
1  abc,def,ghi,def,ghi    abc,def,ghi

I tried using iteritems but got Attribute error :

for i, item in df.col.iteritems():
    print item.unique()

Answer 1

import pandas as pd
df = pd.DataFrame({'col':['abc,def,ghi,jkl,abc','abc,def,ghi,def,ghi']})


def unique_col(col):
    return ','.join(set(col.split(',')))

df['unique_col'] = df.col.apply(unique_col)

result:

    col     unique_col
0   abc,def,ghi,jkl,abc     ghi,jkl,abc,def
1   abc,def,ghi,def,ghi     ghi,abc,def