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    Python - Sort String by Custom Integer Substrings

    Last Updated : 28 Apr, 2023
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    Given a list of strings, sort strings by the occurrence of substring from list.

    Input : test_list = ["Good at 4", "Wake at 7", "Work till 6", "Sleep at 11"], subord_list = ["11", "7", "4", "6"] 
    Output : ['Sleep at 11', 'Wake at 7', 'Good at 4', 'Work till 6'] 
    Explanation : Strings sorted by substring presence.

    Input : test_list = ["Good at 9", "Wake at 7", "Work till 6", "Sleep at 11"], subord_list = ["11", "7", "9", "6"] 
    Output : ['Sleep at 11', 'Wake at 7', 'Good at 9', 'Work till 6'] 
    Explanation : Strings sorted by substring presence. 
     

    Method #1 : Using sorted() + zip() + lambda + regex()

    The combination of above functions can be used to solve this problem. In this, we perform task of sorting by substring using regex() and sorted(), zip() is used to produce end result.

    Python3
    # Python3 code to demonstrate working of 
    # Sort String by Custom Substrings
    # Using sorted() + zip() + lambda + regex()
    import re
    
    # initializing list
    test_list = ["Good at 4", "Wake at 7", "Work till 6", "Sleep at 11"]
    
    # printing original list
    print("The original list : " + str(test_list))
    
    # initializing substring list 
    subord_list = ["6", "7", "4", "11"]
    
    
    # creating inverse mapping with index
    temp_dict = {val: key for key, val in enumerate(subord_list)}
    
    # custom sorting 
    temp_list = sorted([[ele, temp_dict[re.search("(\d+)$", ele).group()]] \
                    for ele in test_list], key = lambda x: x[1])
    # compiling result
    res = [ele for ele in list(zip(*temp_list))[0]]
            
    # printing result 
    print("The sorted list : " + str(res))
    

    Output
    The original list : ['Good at 4', 'Wake at 7', 'Work till 6', 'Sleep at 11']
    The sorted list : ['Work till 6', 'Wake at 7', 'Good at 4', 'Sleep at 11']

    Time Complexity: O(nlogn), where n is the elements of list
    Auxiliary Space: O(n), where n is the size of list

    Method #2 : Using sorted() + zip() + comparator + regex()

    This is yet another way in which this task can be performed. In this similar functionality is used as above method, difference is that comparator function is fed to sorted() rather than lambda to sort.

    Python3
    # Python3 code to demonstrate working of 
    # Sort String by Custom Substrings
    # Using sorted() + comparator + regex()
    import re
    
    # helper function to solve problem
    def hlper_fnc(ele):
        temp = re.search("(\d+)$", ele).group()
        return temp_dict[temp] if temp in temp_dict else int(temp)
    
    # initializing list
    test_list = ["Good at 4", "Wake at 7", "Work till 6", "Sleep at 11"]
    
    # printing original list
    print("The original list : " + str(test_list))
    
    # initializing substring list 
    subord_list = ["6", "7", "4", "11"]
    
    # creating inverse mapping with index
    temp_dict = {val: key for key, val in enumerate(test_list)}
    
    # sorting using comparator
    test_list.sort(key = lambda ele: hlper_fnc(ele))
            
    # printing result 
    print("The sorted list : " + str(test_list))
    

    Output
    The original list : ['Good at 4', 'Wake at 7', 'Work till 6', 'Sleep at 11']
    The sorted list : ['Good at 4', 'Work till 6', 'Wake at 7', 'Sleep at 11']

    The Time and Space Complexity for all the methods are the same:

    Time Complexity: O(n)

    Space Complexity: O(n)

    Method 3 : using a dictionary+  using the sorted() method  +re module 

    step by step explanations:

    First, a list of strings called "test_list" is initialized with four values.
    The original list is printed using the print() function.
    A list of substrings called "subord_list" is initialized with the same number of values as the original list.
    An empty dictionary called "order_dict" is initialized to store the mappings of substrings to orders.
    A for loop is used to iterate through the indices of the "subord_list". In each iteration, the substring at the current index is added as a key to the "order_dict", and its corresponding index is added as the value.
    The sorted() function is used to sort the "test_list" based on the values of the mappings in the "order_dict". The key argument of the sorted() function is set to a lambda function that extracts the substring at the end of each string using regular expression and gets its corresponding index from the "order_dict".
    The sorted list is printed using the print() function.

     

    Python3
    # Python3 code to demonstrate working of 
    # Sort String by Custom Substrings
    # Using dictionary and sorted()
    import re
    
    # initializing list
    test_list = ["Good at 4", "Wake at 7", "Work till 6", "Sleep at 11"]
    
    # printing original list
    print("The original list : " + str(test_list))
    
    # initializing substring list 
    subord_list = ["6", "7", "4", "11"]
    
    # creating dictionary to store mappings of substrings to orders
    order_dict = {}
    for i in range(len(subord_list)):
        order_dict[subord_list[i]] = i
    
    # sorting based on the values of the mappings using sorted()
    test_list = sorted(test_list, key=lambda x: order_dict[re.search("(\d+)$", x).group()])
    
    # printing result 
    print("The sorted list : " + str(test_list))
    

    Output
    The original list : ['Good at 4', 'Wake at 7', 'Work till 6', 'Sleep at 11']
    The sorted list : ['Work till 6', 'Wake at 7', 'Good at 4', 'Sleep at 11']

    The time complexity of this approach is O(nlogn) due to the use of sorted().

    Auxiliary space complexity is O(n) due to the use of the order_dict dictionary.

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    Article Tags :
    • Python
    • Python Programs
    • Python list-programs
    • Python string-programs

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