I faced some problem with solving the next problem:
We have a list of elements (integers), and we should return a list consisting of only the non-unique elements in
Try this:
>>> a=[1,2,3,3,4,5,6,6,7,8,9,2,0,0]
>>> a=[i for i in a if a.count(i)>1]
>>> a
[2, 3, 3, 6, 6, 2, 0, 0]
>>> a=[1, 2, 3, 1, 3]
>>> a=[i for i in a if a.count(i)>1]
>>> a
[1, 3, 1, 3]
>>> a=[1, 2, 3, 4, 5]
>>> a=[i for i in a if a.count(i)>1]
a
[]
I used an integer and bool to check every time the list was modified within a while loop.
rechecks = 1
runscan = True
while runscan == True:
for i in data:
if data.count(i) <2:
data.remove(i)
rechecks+=1
#need to double check now
if rechecks >0:
runscan = True
rechecks-=1
else:
runscan = False
return data
Following what you have started, iterating on the list of integers, but not counting or deleting elements, try just testing if the element has already been seen, append it to a list of duplicated elements:
def checkio(data):
elements = []
duplicates = []
for i in data:
if i not in elements:
elements.append(i)
else:
if i not in duplicates:
duplicates.append(i)
return duplicates
d = [1, 3, 1, 2, 3, 5, 8, 1, 5, 2]
print (checkio(d))
#[1, 3, 5, 2]
You can implement a OrderedCounter
, eg:
from collections import OrderedDict, Counter
class OrderedCounter(Counter, OrderedDict):
pass
data = [1, 3, 1, 2, 3, 5, 8, 1, 5, 2]
duplicates = [k for k, v in OrderedCounter(data).items() if v > 1]
# [1, 3, 2, 5]
So you count the occurrence of each value, then filter on if it has a frequency of more than one. Inheriting from OrderedDict
means the order of the original elements is preserved.
Going by comments, you want all duplicated elements reserved, so you can pre-build a set of the duplicate entries, then re-iterate your original list, eg:
from collections import Counter
data = [1, 3, 1, 2, 3, 5, 8, 1, 5, 2]
duplicates = {k for k, v in Counter(data).items() if v > 1}
result = [el for el in data if el in duplicates]
# [1, 3, 1, 2, 3, 5, 1, 5, 2]
def checkio(data):
lis = []
for i in data:
if data.count(i)>1:
lis.append(i)
print(lis)
checkio([1,2,3,3,2,1])
Yeah it's a bit late to contribute to this thread but just wanted to put it there on the net for anyone else use.
numbers = [1, 1, 1, 1, 3, 4, 9, 0, 1, 1, 1]
x=set(numbers)
print(x)
You can use the set key word too to get the desired solution.