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Return indices when list stops increasing Python



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)
Data science time! April 2019 and salary with experience
The Ask Question Wizard is Live!Finding the index of an item given a list containing it in PythonConvert two lists into a dictionary in PythonDifference between append vs. extend list methods in PythonPython join: why is it string.join(list) instead of list.join(string)?How do I remove an element from a list by index in Python?Getting the last element of a list in PythonHow do I get the number of elements in a list in Python?How do I concatenate two lists in Python?Create a dictionary with list comprehension in PythonHow to return dictionary keys as a list in Python?



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0















I have been trying to return the indices where my lists(arrays) stop increasing. So far I can only get the index of the first time the list stops increasing and it returns it repeatedly. With array_1 = np.array([1,2,2,1,1,2,1]) the output should be [2,5] since those are the indices that stop increasing.



def monotonic_check(ori_array):
indices_array = []
for i in ori_array:
try:
if ori_array[i] > ori_array[i+1]:
indices_array.append(i)
else:
continue
except:
pass
return indices_array


This code instead is returning [2,2,2]










share|improve this question






















  • For i in range(l'en(array))

    – BlueSheepToken
    Mar 8 at 23:05

















0















I have been trying to return the indices where my lists(arrays) stop increasing. So far I can only get the index of the first time the list stops increasing and it returns it repeatedly. With array_1 = np.array([1,2,2,1,1,2,1]) the output should be [2,5] since those are the indices that stop increasing.



def monotonic_check(ori_array):
indices_array = []
for i in ori_array:
try:
if ori_array[i] > ori_array[i+1]:
indices_array.append(i)
else:
continue
except:
pass
return indices_array


This code instead is returning [2,2,2]










share|improve this question






















  • For i in range(l'en(array))

    – BlueSheepToken
    Mar 8 at 23:05













0












0








0








I have been trying to return the indices where my lists(arrays) stop increasing. So far I can only get the index of the first time the list stops increasing and it returns it repeatedly. With array_1 = np.array([1,2,2,1,1,2,1]) the output should be [2,5] since those are the indices that stop increasing.



def monotonic_check(ori_array):
indices_array = []
for i in ori_array:
try:
if ori_array[i] > ori_array[i+1]:
indices_array.append(i)
else:
continue
except:
pass
return indices_array


This code instead is returning [2,2,2]










share|improve this question














I have been trying to return the indices where my lists(arrays) stop increasing. So far I can only get the index of the first time the list stops increasing and it returns it repeatedly. With array_1 = np.array([1,2,2,1,1,2,1]) the output should be [2,5] since those are the indices that stop increasing.



def monotonic_check(ori_array):
indices_array = []
for i in ori_array:
try:
if ori_array[i] > ori_array[i+1]:
indices_array.append(i)
else:
continue
except:
pass
return indices_array


This code instead is returning [2,2,2]







python python-3.x python-2.x






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Mar 8 at 23:00









KenKen

93




93












  • For i in range(l'en(array))

    – BlueSheepToken
    Mar 8 at 23:05

















  • For i in range(l'en(array))

    – BlueSheepToken
    Mar 8 at 23:05
















For i in range(l'en(array))

– BlueSheepToken
Mar 8 at 23:05





For i in range(l'en(array))

– BlueSheepToken
Mar 8 at 23:05












1 Answer
1






active

oldest

votes


















0














You are using the value instead of the index



def monotonic_check(ori_array):
indices_array = []
for i in range(len(ori_array)):
try:
if ori_array[i] > ori_array[i+1]:
indices_array.append(i)
else:
continue
except:
pass
return indices_array





share|improve this answer























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    1 Answer
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    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    0














    You are using the value instead of the index



    def monotonic_check(ori_array):
    indices_array = []
    for i in range(len(ori_array)):
    try:
    if ori_array[i] > ori_array[i+1]:
    indices_array.append(i)
    else:
    continue
    except:
    pass
    return indices_array





    share|improve this answer



























      0














      You are using the value instead of the index



      def monotonic_check(ori_array):
      indices_array = []
      for i in range(len(ori_array)):
      try:
      if ori_array[i] > ori_array[i+1]:
      indices_array.append(i)
      else:
      continue
      except:
      pass
      return indices_array





      share|improve this answer

























        0












        0








        0







        You are using the value instead of the index



        def monotonic_check(ori_array):
        indices_array = []
        for i in range(len(ori_array)):
        try:
        if ori_array[i] > ori_array[i+1]:
        indices_array.append(i)
        else:
        continue
        except:
        pass
        return indices_array





        share|improve this answer













        You are using the value instead of the index



        def monotonic_check(ori_array):
        indices_array = []
        for i in range(len(ori_array)):
        try:
        if ori_array[i] > ori_array[i+1]:
        indices_array.append(i)
        else:
        continue
        except:
        pass
        return indices_array






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Mar 8 at 23:03









        Pablo MartinezPablo Martinez

        3215




        3215





























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