y = pd.get_dummies(df.Countries, prefix='Country') print(y.head()) # from here you can merge it onto your main DF
from sklearn.preprocessing import MultiLabelBinarizer mlb = MultiLabelBinarizer() df = df.join(pd.DataFrame(mlb.fit_transform(df.pop('Col3')), columns=mlb.classes_, index=df.index))
