I have a dict of lists in python:
content = {88962: [80, 130], 87484: [64], 53662: [58,80]}
I want to turn it into a list of the unique values
[58,64,80,130]
I wrote a manual solution, but it's a manual solution. I know there are more concise and more elegant way to do this with list comprehensions, map/reduce , itertools , etc. anyone have a clue ?
content = {88962: [80, 130], 87484: [64], 53662: [58,80]} result = set({}) for k in content.keys() : for i in content[k]: result.add(i) # and list/sort/print just to compare the output r2 = list( result ) r2.sort() print r2
Use list comprehension to generate a non-unique list, convert it to a set to get the unique values, and then back into a sorted list. Perhaps not the most efficient, but yet another one line solution (this time with no imports). This should be the most elegant solution leveraging list/dictionary comprehension.
tl;dr. With CPython 2.7, using dict() to create dictionaries takes up to 6 times longer and involves more memory allocation operations than the literal syntax. Use {} to create dictionaries, especially if you are pre-populating them, unless the literal syntax does not work for your case.
Double set comprehension:
Python 3:
sorted({x for v in content.values() for x in v})
Python 2:
sorted({x for v in content.itervalues() for x in v})
In python3.7 you can use a combination of .values
, and chain
.
from itertools import chain sorted(set(chain(*content.values()))) # [58, 64, 80, 130] # another option is `itertools.groupby` from itertools import groupby [k for k, g in groupby(sorted(chain(*content.values())))]
In python2.7
from itertools import chain sorted(set(chain.from_iterable(content.itervalues()))) # [58, 64, 80, 130] # another option is `itertools.groupby` [k for k, g in groupby(sorted(chain.from_iterable(content.itervalues())))]
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