Grouping Data based on 30% bracket

[purnima1]

I want to one group where all values are with 30% of each other.

working code is follows :

from itertools import combinations

def pctDiff(A,B):
    return abs(A-B)*200/(A+B)

def main():
    dict2={}
    dict ={'acct_number':10202,'acct_name':'abc','v1_rev':3000,'v2_rev':4444,'v4_rev':234534,'v5_rev':5665,'v6_rev':66,'v7_rev':66,'v3_rev':66}
    vendors_revenue_list =['v1_rev','v2_rev','v3_rev','v4_rev','v5_rev','v6_rev','v7_rev','v8_rev']
    #prepared list of vendors
    for k in vendors_revenue_list:
        if k in dict.keys():
            dict2.update({k: dict[k]})

    print(dict2)
    #provides all possible combination
    for a, b in combinations(dict2, 2):
        groups = [(a,b) for a,b in combinations(dict2,2) if pctDiff(dict2[a],dict2[b]) <= 30]

    print(groups)

Output:
{'v1_rev': 3000, 'v2_rev': 4444, 'v3_rev': 66, 'v4_rev': 234534, 'v5_rev': 5665, 'v6_rev': 66, 'v7_rev': 66}
[('v2_rev', 'v5_rev'), ('v3_rev', 'v6_rev'), ('v3_rev', 'v7_rev'), ('v6_rev', 'v7_rev')]

desired output

Output:
[('v2_rev', 'v5_rev'), ('v3_rev', 'v6_rev','v7_rev')]