changing the original list inside function












0















in need to create one function that once remove duplicates while not changing the original list.
and in the second one it needs to change the original list and return nothing .
the problem here that the second function just works on one repeat and doesnt work on 2 different numbers( it just removes one number ( it doesnt work on [2,3,4,5,3,4] but works [ 1,2,3,3]



def drop_duplicates(lst):
s =
# Write the rest of the code for question 3a below here.
for i in lst:
if i not in s:
s.append(i)
return s
lst = [1, 2, 3, 2, 4, 2]
print drop_duplicates(lst)
print lst

def drop_duplicates_in_place(lst):
# Write the rest of the code for question 3b below here.
for i in range(len(lst) - 1):
for j in range ( i+1, len(lst) - 1):
if lst[i] == lst[j]:
lst.pop(j)
else:
continue

lst = [1, 2, 3, 2, 4, 2]
print lst









share|improve this question





























    0















    in need to create one function that once remove duplicates while not changing the original list.
    and in the second one it needs to change the original list and return nothing .
    the problem here that the second function just works on one repeat and doesnt work on 2 different numbers( it just removes one number ( it doesnt work on [2,3,4,5,3,4] but works [ 1,2,3,3]



    def drop_duplicates(lst):
    s =
    # Write the rest of the code for question 3a below here.
    for i in lst:
    if i not in s:
    s.append(i)
    return s
    lst = [1, 2, 3, 2, 4, 2]
    print drop_duplicates(lst)
    print lst

    def drop_duplicates_in_place(lst):
    # Write the rest of the code for question 3b below here.
    for i in range(len(lst) - 1):
    for j in range ( i+1, len(lst) - 1):
    if lst[i] == lst[j]:
    lst.pop(j)
    else:
    continue

    lst = [1, 2, 3, 2, 4, 2]
    print lst









    share|improve this question



























      0












      0








      0








      in need to create one function that once remove duplicates while not changing the original list.
      and in the second one it needs to change the original list and return nothing .
      the problem here that the second function just works on one repeat and doesnt work on 2 different numbers( it just removes one number ( it doesnt work on [2,3,4,5,3,4] but works [ 1,2,3,3]



      def drop_duplicates(lst):
      s =
      # Write the rest of the code for question 3a below here.
      for i in lst:
      if i not in s:
      s.append(i)
      return s
      lst = [1, 2, 3, 2, 4, 2]
      print drop_duplicates(lst)
      print lst

      def drop_duplicates_in_place(lst):
      # Write the rest of the code for question 3b below here.
      for i in range(len(lst) - 1):
      for j in range ( i+1, len(lst) - 1):
      if lst[i] == lst[j]:
      lst.pop(j)
      else:
      continue

      lst = [1, 2, 3, 2, 4, 2]
      print lst









      share|improve this question
















      in need to create one function that once remove duplicates while not changing the original list.
      and in the second one it needs to change the original list and return nothing .
      the problem here that the second function just works on one repeat and doesnt work on 2 different numbers( it just removes one number ( it doesnt work on [2,3,4,5,3,4] but works [ 1,2,3,3]



      def drop_duplicates(lst):
      s =
      # Write the rest of the code for question 3a below here.
      for i in lst:
      if i not in s:
      s.append(i)
      return s
      lst = [1, 2, 3, 2, 4, 2]
      print drop_duplicates(lst)
      print lst

      def drop_duplicates_in_place(lst):
      # Write the rest of the code for question 3b below here.
      for i in range(len(lst) - 1):
      for j in range ( i+1, len(lst) - 1):
      if lst[i] == lst[j]:
      lst.pop(j)
      else:
      continue

      lst = [1, 2, 3, 2, 4, 2]
      print lst






      python python-2.7 duplicates






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 22 '18 at 8:44









      Mayank Porwal

      4,9782725




      4,9782725










      asked Nov 22 '18 at 8:43









      sereen masalhasereen masalha

      91




      91
























          1 Answer
          1






          active

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          0














          The inner loop range is too short:



          for i in range(len(lst) - 1):
          for j in range(i+1, len(lst)): # no -1 here


          Furthermore, you do not really need the else part in your loop body. Generally, nested loops and the repeated removing from (the middle) of a list are not ideal performance-wise. The recommended way too remove duplicates while maintaining order of occurrence in linear is by using an collections.OrderedDict. To make it in-place, you can use slice assignment:



          from collections import OrderedDict

          def drop_duplicates_in_place(lst):
          lst[:] = OrderedDict.fromkeys(lst)





          share|improve this answer


























          • Im trying to use away without import..

            – sereen masalha
            Nov 22 '18 at 8:59











          • @sereenmasalha For interests sake, this works in python 3.6+ without the import as dicts are ordered by default. lst[:] = dict.fromkeys(lst)

            – SuperShoot
            Nov 22 '18 at 9:53











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          1 Answer
          1






          active

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          active

          oldest

          votes






          active

          oldest

          votes









          0














          The inner loop range is too short:



          for i in range(len(lst) - 1):
          for j in range(i+1, len(lst)): # no -1 here


          Furthermore, you do not really need the else part in your loop body. Generally, nested loops and the repeated removing from (the middle) of a list are not ideal performance-wise. The recommended way too remove duplicates while maintaining order of occurrence in linear is by using an collections.OrderedDict. To make it in-place, you can use slice assignment:



          from collections import OrderedDict

          def drop_duplicates_in_place(lst):
          lst[:] = OrderedDict.fromkeys(lst)





          share|improve this answer


























          • Im trying to use away without import..

            – sereen masalha
            Nov 22 '18 at 8:59











          • @sereenmasalha For interests sake, this works in python 3.6+ without the import as dicts are ordered by default. lst[:] = dict.fromkeys(lst)

            – SuperShoot
            Nov 22 '18 at 9:53
















          0














          The inner loop range is too short:



          for i in range(len(lst) - 1):
          for j in range(i+1, len(lst)): # no -1 here


          Furthermore, you do not really need the else part in your loop body. Generally, nested loops and the repeated removing from (the middle) of a list are not ideal performance-wise. The recommended way too remove duplicates while maintaining order of occurrence in linear is by using an collections.OrderedDict. To make it in-place, you can use slice assignment:



          from collections import OrderedDict

          def drop_duplicates_in_place(lst):
          lst[:] = OrderedDict.fromkeys(lst)





          share|improve this answer


























          • Im trying to use away without import..

            – sereen masalha
            Nov 22 '18 at 8:59











          • @sereenmasalha For interests sake, this works in python 3.6+ without the import as dicts are ordered by default. lst[:] = dict.fromkeys(lst)

            – SuperShoot
            Nov 22 '18 at 9:53














          0












          0








          0







          The inner loop range is too short:



          for i in range(len(lst) - 1):
          for j in range(i+1, len(lst)): # no -1 here


          Furthermore, you do not really need the else part in your loop body. Generally, nested loops and the repeated removing from (the middle) of a list are not ideal performance-wise. The recommended way too remove duplicates while maintaining order of occurrence in linear is by using an collections.OrderedDict. To make it in-place, you can use slice assignment:



          from collections import OrderedDict

          def drop_duplicates_in_place(lst):
          lst[:] = OrderedDict.fromkeys(lst)





          share|improve this answer















          The inner loop range is too short:



          for i in range(len(lst) - 1):
          for j in range(i+1, len(lst)): # no -1 here


          Furthermore, you do not really need the else part in your loop body. Generally, nested loops and the repeated removing from (the middle) of a list are not ideal performance-wise. The recommended way too remove duplicates while maintaining order of occurrence in linear is by using an collections.OrderedDict. To make it in-place, you can use slice assignment:



          from collections import OrderedDict

          def drop_duplicates_in_place(lst):
          lst[:] = OrderedDict.fromkeys(lst)






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 22 '18 at 8:52

























          answered Nov 22 '18 at 8:46









          schwobasegglschwobaseggl

          37.4k32442




          37.4k32442













          • Im trying to use away without import..

            – sereen masalha
            Nov 22 '18 at 8:59











          • @sereenmasalha For interests sake, this works in python 3.6+ without the import as dicts are ordered by default. lst[:] = dict.fromkeys(lst)

            – SuperShoot
            Nov 22 '18 at 9:53



















          • Im trying to use away without import..

            – sereen masalha
            Nov 22 '18 at 8:59











          • @sereenmasalha For interests sake, this works in python 3.6+ without the import as dicts are ordered by default. lst[:] = dict.fromkeys(lst)

            – SuperShoot
            Nov 22 '18 at 9:53

















          Im trying to use away without import..

          – sereen masalha
          Nov 22 '18 at 8:59





          Im trying to use away without import..

          – sereen masalha
          Nov 22 '18 at 8:59













          @sereenmasalha For interests sake, this works in python 3.6+ without the import as dicts are ordered by default. lst[:] = dict.fromkeys(lst)

          – SuperShoot
          Nov 22 '18 at 9:53





          @sereenmasalha For interests sake, this works in python 3.6+ without the import as dicts are ordered by default. lst[:] = dict.fromkeys(lst)

          – SuperShoot
          Nov 22 '18 at 9:53




















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