I have a dictionary
my_dict = {
('X', 'A'): 5,
('X', 'B'): 2,
('Y', 'B'): 3,
('Z', 'A'): 3,
('Z', 'C'): 4,
}
My goal is to see what are the keys 'X' are pared with. For this example it should return ['A', 'B']. However, order matters. So, 'A' should return None.
How can I break up the multi-valued keys to achieve that?
CodePudding user response:
How can I break up the multi-valued keys to achieve that?
Why not just have a 2-level dictionary?
In your current dict, 'X'
isn't a key, and because Python does not have a built-in btree (or other tree-based map) you can't select map subsets, however by making the two-level keys into two levels of keys:
my_dict = {
'X': {
'A': 5,
'B': 2,
},
'Y': {
'B': 3,
},
'Z': {
'A': 3,
'C': 4,
},
}
You get exactly what you need:
- the values for (X, A) are at
my_dict['X']['A']
- the sub-keys for Z are at
my_dict['Z'].keys()
- all the values for Y (regardless of keys) are at
my_dict['Y'].values()
- key might be missing? Use
dict.get
e.g.my_dict.get('A')
=>None
, whereasmy_dict['Y']
=>{'B': 3}
CodePudding user response:
I found the solution. Turns out that the multivalued keys in python are saved as an array. So you can just use my_key[0]
to return the first value of the key and my_key[1]
to return the second value of the key.
CodePudding user response:
This should work for what you are trying to achieve
my_dict = {
('X', 'A'): 5,
('X', 'B'): 2,
('Y', 'B'): 3,
('Z', 'A'): 3,
('Z', 'C'): 4,
}
array = []
def getPair(value):
for x in my_dict:
if x[0] == value:
array.append(x[1])
return array;
print(getPair('X'))
CodePudding user response:
You can achieve that with list destructuring :
for (key1,key2),value in my_dict.items() :
print(f"{key1},{key2}:{value}")
if key1 == 'X' :
print(f"X paired with {key2}, has value {value}")
If you only care about the keys:
for key1,key2 in my_dict.keys() :
if key1 == 'X' :
print(f"X paired with {key2}")
Performance-wise it iterates over the whole dictionary keys so it is not the most efficient but it is acceptable if you don't have a huge dictionary and it is unavoidable with your data structure.
If you need better performance structure the data with a 2 layer nested dictionary { key1: {key2 : value , ... }, ... }
and then just access my_dict[key1]
as suggested by
Masklinn.