Reputation: 399
I have two variables that I want to add to a dictionary using collections.defaultdict(list)
Here are the two variables:
score = [0, 5, 7, 7, 8, 7]
match = ['turtle', 'cat', 'horse', 'horse', 'dog', 'bear']
What I would like to do is to remove the key/value pairs that are already in the dictionary. Right now I am creating my dictionary using this method:
scoring = collections.defaultdict(list)
scoring[score].append(match)
However, this method gives me a dictionary like so:
dictionary = {0: ['turtle'], 5: ['cat'], 7: ['horse', 'horse', 'bear'], 8: ['dog']}
However, I only want horse to appear in the dictionary once. Is there anyway to prevent the additional of an identical key/value pair in a dictionary this way?
Upvotes: 2
Views: 1964
Reputation: 107347
You can use a set()
instead of a list
for preserving the values:
>>> coring = defaultdict(set)
>>> for i,j in zip(score, match):
... coring[i].add(j)
...
>>> coring
defaultdict(<type 'set'>, {0: set(['turtle']), 8: set(['dog']), 5: set(['cat']), 7: set(['horse', 'bear'])})
>>>
Since the set
object doesn't preserve the order, if you care about the order of the items of the values, you can use an OrdereDict
as the values container:
>>> from collections import defaultdict, OrderedDict
>>> coring = defaultdict(OrderedDict)
>>>
>>> for i,j in zip(score, match):
... coring[i][j]=None
...
>>> coring
defaultdict(<class 'collections.OrderedDict'>, {0: OrderedDict([('turtle', None)]), 8: OrderedDict([('dog', None)]), 5: OrderedDict([('cat', None)]), 7: OrderedDict([('horse', None), ('bear', None)])})
>>>
>>> coring[7]
OrderedDict([('horse', None), ('bear', None)])
>>> coring[7].keys()
['horse', 'bear']
Upvotes: 2
Reputation: 10951
If you wan to keep using lists instead of sets, then do filtering:
>>> d = defaultdict(list)
>>> for k,v in zip(score, match):
if k not in d or v not in d[k]:
d[k].append(v)
>>> d
defaultdict(<class 'list'>, {0: ['turtle'], 8: ['dog'], 5: ['cat'], 7: ['horse', 'bear']})
Upvotes: 1