Group by and aggregate the values in pandas dataframe

I have following dataframe in python

    meddra_id   meddra_label              soc       cross_ref                       soc_term
2   10000081    Abdominal pain            10017947  http://snomed.info/id/21522001  Gastrointestinal disorders
3   10017999    Gastrointestinal pain     10017947  http://snomed.info/id/21522001  Gastrointestinal disorders
15  10000340    Abstains from alcohol     10041244  http://snomed.info/id/105542008 Social circumstances
35  10001022    Acute psychosis           10037175  http://snomed.info/id/69322001  Psychiatric disorders
36  10061920    Psychotic disorder        10037175  http://snomed.info/id/69322001  Psychiatric disorders

I would like to aggregate the values in ‘meddra_id, meddra_label, soc and soc_term’ columns using group by another column ‘cross_ref’ (and exclude the rows where there is single ‘meddra_id’ associated to ‘cross_ref’).

The expected output is:

meddra_id           meddra_label                           soc      cross_ref                       soc_term
10000081,10017999   Abdominal pain,Gastrointestinal pain   10017947 http://snomed.info/id/21522001  Gastrointestinal disorders
10001022,10061920   Acute psychosis,Psychotic disorder     10037175 http://snomed.info/id/69322001  Psychiatric disorders

I am trying following lines of code.

df_terms = df.groupby('cross_ref').filter(lambda g: len(g) > 1).drop_duplicates(subset=['meddra_id', 'meddra_label', 'soc', 'soc_term'], keep="first")

#aggregate the values
df_terms = df_terms.groupby('cross_ref')['meddra_id', 'meddra_label', 'soc', 'soc_term'].agg(' , '.join).reset_index()

When I try to aggegate the value, the column ‘soc_term’ is not showed up in the new dataframe (df_terms)

Any help is highly appreciated.

>Solution :

Use agg to join the values in the different columns:

df_grouped = df.groupby('cross_ref') #group as you did
df_filtered = df_grouped.filter(lambda g: len(g['meddra_id'].unique()) > 1) # filter it for single values

df_aggregated = df_filtered.groupby('cross_ref').agg({
    'meddra_id': ', '.join,
    'meddra_label': ', '.join,
    'soc': lambda x: ', '.join(map(str, x)), # convert float values to strings
    'soc_term': lambda x: ', '.join(map(str, x)) # convert float values to strings
}).reset_index() #aggregate to join values in the different columns via a comma