How to concat multiple text fields in pandas dataframe

Question

How to concat unique values of some text columns of a pandas dataframe in to a single column. For example:

data = [[1,"US","California","Los Angeles"],
        [1,"US","California","San Francisco"],
        [1,"US","California","San Diego"],
        [1,"US","Texas","Austin"],
        [2,"IND","Maharashtra","Mumbai"],
        [2,"IND","Maharashtra","Pune"],
        [2,"IND","Maharashtra","Nagpur"]]

df = pd.DataFrame(data, columns = ['Country_Id', 'Country','State','Place'])

From above dataframe, how do I generate output with one field as Country_Id and second with a text field containing the unique values of Country, State, Place.

Like:

1,US California Texas Los Angeles San Francisco San Diego Austin
2,IND Maharashtra Mumbai Pune Nagpur

Please ignore the meaning of the combined text field

Check out pandas.pydata.org/pandas-docs/stable/reference/api/… — duncster94
– duncster94, Commented Sep 3, 2019 at 16:43

Andy L. · Accepted Answer · 2019-09-03 17:15:18Z

2

Use groupby and apply with double join on unique and genexp

df.groupby('Country_Id').apply(lambda x: ' '.join(' '.join(x[col].unique()) for col in x))
                        .to_frame('Country-State-Place')


Out[434]:
                                                       Country-State-Place
Country_Id
1           US California Texas Los Angeles San Francisco San Diego Austin
2           IND Maharashtra Mumbai Pune Nagpur

answered Sep 3, 2019 at 17:15

Andy L.

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