Python

grouped = df.groupby('group')

for group_name, group in grouped:
  print('
CREATE TABLE {}('.format(group_name))
  
  print(group["column"])

df = df.groupby('l_customer_id_i').agg(lambda x: ','.join(x))
for name in df.index:
    print name
    print df.loc[name]

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