I receive a dictionary as input, and would like to to return a dictionary whose keys will be the input’s values and whose value will be the corresponding input keys. Values are unique.

For example, say my input is:

a = dict()
a['one']=1
a['two']=2

I would like my output to be:

{1: 'one', 2: 'two'}

To clarify I would like my result to be the equivalent of the following:

res = dict()
res[1] = 'one'
res[2] = 'two'

Any neat Pythonic way to achieve this?

Python 2:

res = dict((v,k) for k,v in a.iteritems())

Python 3 (thanks to @erik):

res = dict((v,k) for k,v in a.items())

new_dict = dict(zip(my_dict.values(), my_dict.keys()))

From Python 2.7 on, including 3.0+, there’s an arguably shorter, more readable version:

>>> my_dict = {'x':1, 'y':2, 'z':3}
>>> {v: k for k, v in my_dict.items()}
{1: 'x', 2: 'y', 3: 'z'}

In [1]: my_dict = {'x':1, 'y':2, 'z':3}

In [2]: dict((value, key) for key, value in my_dict.iteritems())
Out[2]: {1: 'x', 2: 'y', 3: 'z'}

You can make use of dict comprehensions:

res = {v: k for k, v in a.iteritems()}

Edited: For Python 3, use a.items() instead of a.iteritems(). Discussions about the differences between them can be found in iteritems in Python on SO.

You could try:

d={'one':1,'two':2}
d2=dict((value,key) for key,value in d.iteritems())
d2
  {'two': 2, 'one': 1}

Beware that you cannot ‘reverse’ a dictionary if

1. More than one key shares the same value. For example {'one':1,'two':1}. The new dictionary can only have one item with key 1.
2. One or more of the values is unhashable. For example {'one':[1]}. [1] is a valid value but not a valid key.

See this thread on the python mailing list for a discussion on the subject.

res = dict(zip(a.values(), a.keys()))

The current leading answer assumes values are unique which is not always the case. What if values are not unique? You will loose information! For example:

d = {'a':3, 'b': 2, 'c': 2} 
{v:k for k,v in d.iteritems()} 

returns {2: 'b', 3: 'a'}.

The information about 'c' was completely ignored. Ideally it should had be something like {2: ['b','c'], 3: ['a']}. This is what the bottom implementation does.

Python 2.x

def reverse_non_unique_mapping(d):
    dinv = {}
    for k, v in d.iteritems():
        if v in dinv:
            dinv[v].append(k)
        else:
            dinv[v] = [k]
    return dinv

Python 3.x

def reverse_non_unique_mapping(d):
    dinv = {}
    for k, v in d.items():
        if v in dinv:
            dinv[v].append(k)
        else:
            dinv[v] = [k]
    return dinv

new_dict = dict( (my_dict[k], k) for k in my_dict)

or even better, but only works in Python 3:

new_dict = { my_dict[k]: k for k in my_dict}

Another way to expand on Ilya Prokin‘s response is to actually use the reversed function.

dict(map(reversed, my_dict.items()))

In essence, your dictionary is iterated through (using .items()) where each item is a key/value pair, and those items are swapped with the reversed function. When this is passed to the dict constructor, it turns them into value/key pairs which is what you want.

Suggestion for an improvement for Javier answer :

dict(zip(d.values(),d))

Instead of d.keys() you can write just d, because if you go through dictionary with an iterator, it will return the keys of the relevant dictionary.

Ex. for this behavior :

d = {'a':1,'b':2}
for k in d:
 k
'a'
'b'

Can be done easily with dictionary comprehension:

{d[i]:i for i in d}

dict(map(lambda x: x[::-1], YourDict.items()))

.items() returns a list of tuples of (key, value). map() goes through elements of the list and applies lambda x:[::-1] to each its element (tuple) to reverse it, so each tuple becomes (value, key) in the new list spitted out of map. Finally, dict() makes a dict from the new list.

Using loop:-

newdict = {} #Will contain reversed key:value pairs.

for key, value in zip(my_dict.keys(), my_dict.values()):
    # Operations on key/value can also be performed.
    newdict[value] = key

If you’re using Python3, it’s slightly different:

res = dict((v,k) for k,v in a.items())

Adding an in-place solution:

>>> d = {1: 'one', 2: 'two', 3: 'three', 4: 'four'}
>>> for k in list(d.keys()):
...     d[d.pop(k)] = k
... 
>>> d
{'two': 2, 'one': 1, 'four': 4, 'three': 3}

In Python3, it is critical that you use list(d.keys()) because dict.keys returns a view of the keys. If you are using Python2, d.keys() is enough.

Hanan’s answer is the correct one as it covers more general case (the other answers are kind of misleading for someone unaware of the duplicate situation). An improvement to Hanan’s answer is using setdefault:

mydict = {1:a, 2:a, 3:b}   
result = {}
for i in mydict:  
   result.setdefault(mydict[i],[]).append(i)
print(result)
>>> result = {a:[1,2], b:[3]}