Mrthdrb

Assuming that I have 3 different dictionaries:

dict1 = 
 "A": "a"


dict2 = 
 "B": "b", 
 "C": "c",
 "D": "d", 
 "E": "e"


dict3 = 
 "F": "f", 
 "G": "g"

I want to compute the product of these dictionaries (excluding the product between dict2 and dict3) and combine both the keys and values where the keys are concatenated with _ and values with ' and '

The desired output would be a single dictionary:

 # dict1 x dict2 
 "A_B": "a and b", 
 "A_C": "a and c",
 "A_D": "a and d",
 "A_E": "a and e",

 # dict1 x dict3 
 "A_F": "a and f",
 "A_G": "a and g",

 # dict1 x dict2 x dict3 
 "A_B_F": "a and b and f",
 "A_B_G": "a and b and g",
 "A_C_F": "a and c and f",
 "A_C_G": "a and c and g",
 "A_D_F": "a and d and f",
 "A_D_G": "a and d and g",
 "A_E_F": "a and e and f",
 "A_E_G": "a and e and g"
 

I had a look at the documentation for itertools but I was not able to understand how I can achieve the desired output.

The function that will do the job is itertools.product.
First, here is how you can print out the product dict1 x dict2 x dict3:

for t in product(dict1.items(), dict2.items(), dict3.items()): 
 k, v = zip(*t) 
 print("_".join(k), "-", " and ".join(v)) 

Output:

A_B_F - a and b and f
A_B_G - a and b and g
A_C_F - a and c and f
A_C_G - a and c and g
A_D_F - a and d and f
A_D_G - a and d and g
A_E_F - a and e and f
A_E_G - a and e and g

Now, just populate a result dictionary:

result = 
for t in product(dict1.items(), dict2.items(), dict3.items()): 
 k, v = zip(*t) 
 result["_".join(k)] = " and ".join(v)

You can now add to this dictionary the dict1 x dict2 and dict1 x dict3 products, that are even simpler to compute.

Based on @ShadowRanger's comment, here is a complete snippet:

import itertools
import pprint


dict1 = 
 "A": "a"


dict2 = 
 "B": "b",
 "C": "c",
 "D": "d",
 "E": "e"


dict3 = 
 "F": "f",
 "G": "g"



result = 
for dicts in ((dict1, dict2), (dict1, dict3), (dict1, dict2, dict3)):
 for t in itertools.product(*(d.items() for d in dicts)):
 k, v = zip(*t)
 result["_".join(k)] = " and ".join(v)

pprint.pprint(result)

Output:

'A_B': 'a and b',
 'A_B_F': 'a and b and f',
 'A_B_G': 'a and b and g',
 'A_C': 'a and c',
 'A_C_F': 'a and c and f',
 'A_C_G': 'a and c and g',
 'A_D': 'a and d',
 'A_D_F': 'a and d and f',
 'A_D_G': 'a and d and g',
 'A_E': 'a and e',
 'A_E_F': 'a and e and f',
 'A_E_G': 'a and e and g',
 'A_F': 'a and f',
 'A_G': 'a and g'

To produce all pairings, you can use two recursive generator functions: one to find the overall combinations of dictionaries, and the other to pair the keys and values:

def pair_dicts(data, c):
 if not data:
 keys, values = zip(*c)
 yield ('_'.join(keys), ' and '.join(values))
 else:
 for i in data[0]:
 yield from pair_dicts(data[1:], c+[i])

def combos(d, c = []):
 if len(c) == len(d):
 yield c
 else:
 if len(c) > 1:
 yield c
 for i in d:
 if all(h != i for h in c):
 yield from combos(d, c+[i])

new_d = [[list(c.items()) for c in i] for i in combos([dict1, dict2, dict3])]
final_result = dict(i for b in new_d for i in pair_dicts(b, []))

Output:

'A_B': 'a and b', 'A_C': 'a and c', 'A_D': 'a and d', 'A_E': 'a and e', 'A_B_F': 'a and b and f', 'A_B_G': 'a and b and g', 'A_C_F': 'a and c and f', 'A_C_G': 'a and c and g', 'A_D_F': 'a and d and f', 'A_D_G': 'a and d and g', 'A_E_F': 'a and e and f', 'A_E_G': 'a and e and g', 'A_F': 'a and f', 'A_G': 'a and g', 'A_F_B': 'a and f and b', 'A_F_C': 'a and f and c', 'A_F_D': 'a and f and d', 'A_F_E': 'a and f and e', 'A_G_B': 'a and g and b', 'A_G_C': 'a and g and c', 'A_G_D': 'a and g and d', 'A_G_E': 'a and g and e', 'B_A': 'b and a', 'C_A': 'c and a', 'D_A': 'd and a', 'E_A': 'e and a', 'B_A_F': 'b and a and f', 'B_A_G': 'b and a and g', 'C_A_F': 'c and a and f', 'C_A_G': 'c and a and g', 'D_A_F': 'd and a and f', 'D_A_G': 'd and a and g', 'E_A_F': 'e and a and f', 'E_A_G': 'e and a and g', 'B_F': 'b and f', 'B_G': 'b and g', 'C_F': 'c and f', 'C_G': 'c and g', 'D_F': 'd and f', 'D_G': 'd and g', 'E_F': 'e and f', 'E_G': 'e and g', 'B_F_A': 'b and f and a', 'B_G_A': 'b and g and a', 'C_F_A': 'c and f and a', 'C_G_A': 'c and g and a', 'D_F_A': 'd and f and a', 'D_G_A': 'd and g and a', 'E_F_A': 'e and f and a', 'E_G_A': 'e and g and a', 'F_A': 'f and a', 'G_A': 'g and a', 'F_A_B': 'f and a and b', 'F_A_C': 'f and a and c', 'F_A_D': 'f and a and d', 'F_A_E': 'f and a and e', 'G_A_B': 'g and a and b', 'G_A_C': 'g and a and c', 'G_A_D': 'g and a and d', 'G_A_E': 'g and a and e', 'F_B': 'f and b', 'F_C': 'f and c', 'F_D': 'f and d', 'F_E': 'f and e', 'G_B': 'g and b', 'G_C': 'g and c', 'G_D': 'g and d', 'G_E': 'g and e', 'F_B_A': 'f and b and a', 'F_C_A': 'f and c and a', 'F_D_A': 'f and d and a', 'F_E_A': 'f and e and a', 'G_B_A': 'g and b and a', 'G_C_A': 'g and c and a', 'G_D_A': 'g and d and a', 'G_E_A': 'g and e and a'

I created a (not so nice) function to do your task with arbitrary number of dictionaries.

(Explanation below)

import itertools as it

dict1 = 
 "A": "a"


dict2 = 
 "B": "b", 
 "C": "c",
 "D": "d", 
 "E": "e"


dict3 = 
 "F": "f", 
 "G": "g"




def custom_dict_product(dictionaries):
 return dict(zip(map("_".join, it.product(*map(dict.keys, dictionaries))), 
 map(" and ".join, it.product(*map(dict.values, dictionaries)))))

result = custom_dict_product([dict1,dict2])
result.update(custom_dict_product([dict1,dict3]))
result.update(custom_dict_product([dict1,dict2,dict3]))
result
#'A_B': 'a and b',
# 'A_B_F': 'a and b and f',
# 'A_B_G': 'a and b and g',
# 'A_C': 'a and c',
# 'A_C_F': 'a and c and f',
# 'A_C_G': 'a and c and g',
# 'A_D': 'a and d',
# 'A_D_F': 'a and d and f',
# 'A_D_G': 'a and d and g',
# 'A_E': 'a and e',
# 'A_E_F': 'a and e and f',
# 'A_E_G': 'a and e and g',
# 'A_F': 'a and f',
# 'A_G': 'a and g'

The function takes the given dictionaries and gets their keys and values, which is done by map(dict.keys, dictionaries))and map(dict.values, dictionaries)). The results of the first call

list(it.product(*map(dict.keys, [dict1,dict2])))
# [('A', 'C'), ('A', 'E'), ('A', 'B'), ('A', 'D')]

The tuples insides this list are then forced to your desired structure with join(and again an map call to do this for every element):

"_".join(('A', 'C'))
# 'A_C'
list(map("_".join, it.product(*map(dict.keys, [dict1,dict2]))))
# ['A_C', 'A_E', 'A_B', 'A_D']

Finally the two resulting lists are transformed to tuples of (keys, values) with the call of zip and handed to the dictionary creation.

Here a dirty, but working, solution that makes use of itertools

from itertools import product, combinations


# create a list and sum dict to be used later
t = [dict1, dict2, dict3] 
k = 
for d in t:
 k.update(d)


# iterate over "i" order of combinations ("dict1_X" or "dict1_X_Y") and 
# the cartesian product of keys for each combination

results = 
for i in range(2, 4):
 a = [
 [
 results.update("_".join(y): " and ".join([k[j] for j in y]))
 for y in product(*x)
 ]
 for x in combinations(t, i) 
 if dict1 in x
 ]

results

Output:

'A_B': 'a and b',
 'A_B_F': 'a and b and f',
 'A_B_G': 'a and b and g',
 'A_C': 'a and c',
 'A_C_F': 'a and c and f',
 'A_C_G': 'a and c and g',
 'A_D': 'a and d',
 'A_D_F': 'a and d and f',
 'A_D_G': 'a and d and g',
 'A_E': 'a and e',
 'A_E_F': 'a and e and f',
 'A_E_G': 'a and e and g',
 'A_F': 'a and f',
 'A_G': 'a and g'