convert pandas dataframe to list of tuple with unique pairs of integers as the first entry

Question

I have the following dataframe:

    ID weight  
 0  2    1
 1  3    1 
 2  4    1
 3  5    1
 4  6    1
 5  7    1

My goals is to generate a list of tuples that looks like this:

[(2,3,{'weight':1}),(2,4,{'weight':1}),(2,5,{'weight':1}),(2,6,{'weight':1}),(2,7,{'weight':1}),(3,4,{'weight':1}),(3,5,{'weight':1}),(3,6,{'weight':1}),(3,7,{'weight':1}),(4,5,{'weight':1})....]

Each entry should be a unique combination of integers from the 'ID'column and the second entry should just be a weight set to 1.

Answer 1

Use combinations from itertools , then form the desired tuple by unpacking the combination and adding your {'weight' : 1} .

from itertools import combinations
[(*x, {'weight': 1}) for x in combinations(df['ID'], 2)]

---

[(2, 3, {'weight': 1}),
 (2, 4, {'weight': 1}),
 (2, 5, {'weight': 1}),
 (2, 6, {'weight': 1}),
 (2, 7, {'weight': 1}),
 (3, 4, {'weight': 1}),
 (3, 5, {'weight': 1}),
 (3, 6, {'weight': 1}),
 (3, 7, {'weight': 1}),
 (4, 5, {'weight': 1}),
 (4, 6, {'weight': 1}),
 (4, 7, {'weight': 1}),
 (5, 6, {'weight': 1}),
 (5, 7, {'weight': 1}),
 (6, 7, {'weight': 1})]