For example, I call this function by passing a dictionary as parameter:
>>> inv_map({\'a\':1, \'b\':2, \'c\':3, \'d\':2})
{1: [\'a\'], 2: [\'b\', \'
You can use a defaultdict with list:
>>> from collections import defaultdict
>>> m = {'a': 2, 'b': 1, 'c': 2, 'd': 1}
>>> dd = defaultdict(list)
>>> for k, v in m.iteritems():
... dd[v].append(k)
...
>>> dict(dd)
{1: ['b', 'd'], 2: ['a', 'c']}
If you don't care if you have an dict or defaultdict, you can omit the last step und use the defaultdict directly.
EDIT In python 2.7:
from itertools import groupby
def inv_map(d):
return {k : [i[0] for i in list(v)] for k, v in groupby(d.items(),lambda x:x[1])}
print inv_map({'a':1, 'b':2, 'c':3, 'd':2})
print inv_map({'a':3, 'b':3, 'c':3})
print inv_map({'a':2, 'b':1, 'c':2, 'd':1})
Output:
{1: ['a'], 2: ['b', 'd'], 3: ['c']}
{3: ['a', 'c', 'b']}
{1: ['b', 'd'], 2: ['a', 'c']}
You can probably use defaultdict or setdefault here.
def invertDictionary(orig_dict):
result = {} # or change to defaultdict(list)
for k, v in orig_dict.iteritems():
result.setdefault(v, []).append(k)