Aggregate unique values from multiple columns with pandas GroupBy

Question

I went into countless threads (1 2 3...) and still I don\'t find a solution to my problem... I have a dataframe like this:

prop1 prop2 prop3    prop4 
L30            


        

Answer 1

melt + pivot_table

s = df.astype(str).melt(id_vars='prop1').drop_duplicates()

s.pivot_table(
  index='prop1',
  columns='variable',
  values='value',
  aggfunc=','.join)

variable       prop2       prop3      prop4
prop1
K20          12,1,66  travis,leo   10.0,4.0
L30       3,54,11,10    bob,john  11.2,10.0