Return first matching key:
def find_key(input_dict, value):
return next((k for k, v in input_dict.items() if v == value), None)
Return all matching keys as a set:
def find_key(input_dict, value):
return {k for k, v in input_dict.items() if v == value}
Values in a dictionary are not necessarily unique. The first option returns None
if there is no match, the second returns an empty set for that case.
Since the order of dictionaries is arbitrary (dependent on what keys were used and the insertion and deletion history), what is considered the 'first' key is arbitrary too.
Demo:
>>> def find_key(input_dict, value):
... return next((k for k, v in input_dict.items() if v == value), None)
...
>>> find_key({1:'a', 2:'b', 3:'c', 4:'d'}, 'b')
2
>>> find_key({1:'a', 2:'b', 3:'c', 4:'d'}, 'z') is None
True
>>> def find_key(input_dict, value):
... return {k for k, v in input_dict.items() if v == value}
...
>>> find_key({1:'a', 2:'b', 3:'c', 4:'d'}, 'b')
set([2])
>>> find_key({1:'a', 2:'b', 3:'c', 4:'d', 5:'b'}, 'b')
set([2, 5])
>>> find_key({1:'a', 2:'b', 3:'c', 4:'d'}, 'z')
set([])
Note that we need to loop over the values each time we need to search for matching keys. This is not the most efficient way to go about this, especially if you need to match values to keys often. In that case, create a reverse index:
from collections import defaultdict
values_to_keys = defaultdict(set)
for key, value in input_dict:
values_to_keys[value].add(key)
Now you can ask for the set of keys directly in O(1) (constant) time:
keys = values_to_keys.get(value)
This uses sets; the dictionary has no ordering so either, sets make a little more sense here.