How to loop over grouped Pandas dataframe?

DataFrame:

  c_os_family_ss c_os_major_is l_customer_id_i
0      Windows 7                         90418
1      Windows 7                         90418
2      Windows 7                         90418

Code:

print df
for name, group in df.groupby('l_customer_id_i').agg(lambda x: ','.join(x)):
    print name
    print group

I’m trying to just loop over the aggregated data, but I get the error:

ValueError: too many values to unpack

@EdChum, here’s the expected output:

                                                    c_os_family_ss  \
l_customer_id_i
131572           Windows 7,Windows 7,Windows 7,Windows 7,Window...
135467           Windows 7,Windows 7,Windows 7,Windows 7,Window...

                                                     c_os_major_is
l_customer_id_i
131572           ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,...
135467           ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,...

The output is not the problem, I wish to loop over every group.