My data look like this:
let = ['a', 'b', 'a', 'c', 'a']
How do I remove the duplicates? I want my output to be something like this:
['b', 'c']
When I use the set
function, I get:
set(['a', 'c', 'b'])
This is not what I want.
My data look like this:
let = ['a', 'b', 'a', 'c', 'a']
How do I remove the duplicates? I want my output to be something like this:
['b', 'c']
When I use the set
function, I get:
set(['a', 'c', 'b'])
This is not what I want.
One option would be (as derived from Ritesh Kumar's answer here)
let = ['a', 'b', 'a', 'c', 'a']
onlySingles = [x for x in let if let.count(x) < 2]
which gives
>>> onlySingles
['b', 'c']
Try this,
>>> let
['a', 'b', 'a', 'c', 'a']
>>> dict.fromkeys(let).keys()
['a', 'c', 'b']
>>>
Sort the input, then removing duplicates becomes trivial:
data = ['a', 'b', 'a', 'c', 'a']
def uniq(data):
last = None
result = []
for item in data:
if item != last:
result.append(item)
last = item
return result
print uniq(sorted(data))
# prints ['a', 'b', 'c']
This is basically the shell's cat data | sort | uniq
idiom.
The cost is O(N * log N), same as with a tree-based set.
Instead of sorting, or linearly scanning and re-counting the main list for its occurrences each time.
Count the number of occurrences and then filter on items that appear once...
>>> from collections import Counter
>>> let = ['a', 'b', 'a', 'c', 'a']
>>> [k for k, v in Counter(let).items() if v == 1]
['c', 'b']
You have to look at the sequence at least once regardless - although it makes sense to limit the amount of times you do so.
If you really want to avoid any type or set
or otherwise hashed container (because you perhaps can't use them?), then yes, you can sort it, then use:
>>> from itertools import groupby, islice
>>> [k for k,v in groupby(sorted(let)) if len(list(islice(v, 2))) == 1]
['b', 'c']