Userid, Productid,    Ordered_Qty
user1           1         1
user1           2         1
user1           3         1
user2           4         1
user2           5         1
user2           3         1
user3           2         1
user3           4         1
user3           5         1

Productid, some_attribute
1             "xsff"
2             "xsff"
3             "xsff"
4             "xsff"
5             "xsff"

Row - Userid from df1
columns - Productid from df2

1 2 3 4 5
user1 1 1 1 0 0
user2 0 0 1 1 1
user3 0 1 0 1 1

new_dataframe = pd.dataframe(0,index=df1.Userid.unique(),columns=df2.Productid.unique())

for index,row in df1.iterrows():
    userid = row['Userid']
    productid = row['Productid']
    ord_qty =  row['Ordered_Qty']
    new_dataframe.loc[userid][productid] = ord_qty