How to loop over grouped Pandas dataframe?

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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.

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Cornwall Schteiner

Munchen | 2023-03-29

Maybe there are another answers? What How to loop over grouped Pandas dataframe? exactly means?. Will use it in my bachelor thesis

Anna Danburry

London | 2023-03-29

I was preparing for my coding interview, thanks for clarifying this - How to loop over grouped Pandas dataframe? in Python is not the simplest one. I just hope that will not emerge anymore

Walter Sikorski

Paris | 2023-03-29

Simply put and clear. Thank you for sharing. How to loop over grouped Pandas dataframe? and other issues with code Python module was always my weak point 😁. I am just not quite sure it is the best method

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