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I have a data frame which looks like this:

df1 = pd.DataFrame('serialNo':['aaaa123','aaaa123','cccc789','cccc789','cvgy456','cvgy456','aaaa123'],
 'code':['Sayonti','Sayonti','Tony','Tony','Toffee','Toffee','Sayonti'],
 'testName': [4402, 4402 ,5555,6753,1234,9876,3602],
 'moduleName': ['singing', 'singing','booze', 'booze','drama','paint','singing'],
 'endResult': ['WARNING', 'WARNING', 'FAILED', 'FAILED','WARNING','FAILED','WARNING'],
 'shippingno':['20179','20179','87654','87654','20179','20179','12970'],
 'cofig':['GVC1','GVC1','HFY7','HFY7','RDXI','RDXI','POLK'],
 'moduleLocation':['front','front','rear','rear','front','head','foot'],
 'component':['12AB','12AB','BC67','BC67','12AB','12AB','BC67'],
 'partno':[231,441,768,768,765,983,986])

and I want to wrangle the data such that I can achieve the output data frame to look like below:

df2 = pd.DataFrame('serialNo':['aaaa123','cccc789','cvgy456','aaaa123'],
 'code':['Sayonti','Tony','Toffee','Sayonti'],
 'moduleName': ['singing','booze','drama,paint','singing'],
 'shippingno':['20179','87654','20179','12970'],
 'cofig':['GVC1','HFY7','RDXI','POLK'],
 'moduleLocation':['front','rear','front,head','foot'],
 'component':['12AB','BC67','12AB','BC67'],
 'partno':['231,441',768,'765,983',986],
 'WARNING':[4402,0,1234,3602],
 'FAILED':[0,'5555,6753',9876,0])

I can group.by(serial number) and concatenate but just not sure how to achieve an output like this as I am running into errors. Please help!