Open In App

Python – Extract K length substrings

Last Updated : 15 May, 2023
Improve
Improve
Like Article
Like
Save
Share
Report

There are many problems in which we require to get all K-length substrings of a string. This particular utility is very popular in competitive programming and having shorthands to solve this problems can always be handy. Let’s discuss certain ways in which this problem can be solved. 

Method #1: Using list comprehension + string slicing

The combination of list comprehension and string slicing can be used to perform this particular task. This is just a brute-force method to perform this task. 

Python3




# Python3 code to demonstrate working of
# Extract K length substrings
# using list comprehension + string slicing
 
# Initializing string
test_str = "Geeks"
 
# Printing original string
print("The original string is : " + str(test_str))
 
# Initializing K
K = 3
 
# Extract K length substrings
# using list comprehension + string slicing
res = [test_str[i: j] for i in range(len(test_str)) for j in range(i + 1, len(test_str) + 1) if len(test_str[i:j]) == K]
 
# Printing result
print("All K length substrings of string are : " + str(res))


Output : 

The original string is : Geeks
All K length substrings of string are : ['Gee', 'eek', 'eks']

Time Complexity: O(n2)
Auxiliary Space: O(n)

Method #2: Using itertools.combinations() 

This particular task can also be performed using the inbuilt function of combinations, which helps to get all K lengths of the possible combinations i.e. the substrings from a string. 

Python3




# Python3 code to demonstrate working of
# Extract K length substrings
# using itertools.combinations()
from itertools import combinations
 
# Initializing string
test_str = "Geeks"
 
# Printing original string
print("The original string is : " + str(test_str))
 
# Initializing K
K = 3
 
# Extract K length substrings
# using itertools.combinations()
res = [test_str[x:y] for x, y in combinations(
    range(len(test_str) + 1), r=2) if len(test_str[x:y]) == K]
 
# Printing result
print("All K length substrings of string are : " + str(res))


Output : 

The original string is : Geeks
All K length substrings of string are : ['Gee', 'eek', 'eks']

Time Complexity: O(n2) -> (loop+combinations)
Auxiliary Space: O(n)

Method #3: Using a for loop

Stepwise approach:

  1. Initialize an empty list to store the K length substrings
  2. Loop through the range from 0 to the length of the string minus K (i.e. up to the last possible starting index for a substring of length K)
  3. For each index i in the range, append the substring starting at index i and ending at i+K to the list
  4. Print the list of K length substrings

Below is the implementation of the above approach:

Python3




# Initializing list and value
test_str = "Geeks"
print("The original string is : " + str(test_str))
K = 3
 
# Extracting K length substrings using for loop
res = []
 
for i in range(len(test_str) - K + 1):
    res.append(test_str[i:i+K])
 
# Printing answer
print("All K length substrings of string are : " + str(res))


Output

The original string is : Geeks
All K length substrings of string are : ['Gee', 'eek', 'eks']

Time complexity: O(nK), where n is the length of the string and K is the length of the desired substrings. 
Auxiliary space: O(nK), as the list of substrings can potentially hold n/K elements, each with K character

Method #6: Using recursion

We can also solve this problem using recursion. We can define a recursive function that takes the input string and the desired substring length as arguments. The function will return a list of all substrings of the given length in the input string.

Stepwise approach:

  1. Define a recursive function get_substrings() that takes the input string and the desired substring length as arguments.
  2. Base case: if the length of the input string is less than the desired substring length, return an empty list.
  3. Recursive case: append the first substring of the desired length to the result list, and recursively call the function on the remaining string.
  4. Return the result list.

Below is the implementation of the above approach:

Python3




def get_substrings(s, k):
    if len(s) < k:
        return []
    else:
        return [s[:k]] + get_substrings(s[1:], k)
 
# Example usage
test_str = "Geeks"
K = 3
 
substrings = get_substrings(test_str, K)
 
print("All K length substrings of string are : " + str(substrings))


Output

All K length substrings of string are : ['Gee', 'eek', 'eks']

Time complexity: O(n * K), where n is the length of the given string and K is the desired substring length. This is because the function makes n/K recursive calls, each of which requires slicing a substring of length K from the input string, which takes O(K) time.
Auxiliary space: O(n/K), as the function creates a new list for each recursive call, each of which contains at most one substring of length K.

Method #4: Using sliding window technique

The sliding window technique involves defining a window of size K and sliding it over the given string, extracting substrings of length K at each step. Here’s the step-by-step approach:

  1. Initialize an empty list to store the K-length substrings.
  2. Define a window of size K and slide it over the string until it reaches the end.
  3. Extract the substring within the window and append it to the list.
  4. Return the list of K-length substrings.

Python3




# Python3 code to demonstrate working of
# Extract K length substrings
# using sliding window technique
 
# Initializing string
test_str = "Geeks"
 
# Printing original string
print("The original string is : " + str(test_str))
 
# Initializing K
K = 3
 
# Extract K length substrings
# using sliding window technique
 
res = []
for i in range(len(test_str) - K + 1):
    res.append(test_str[i:i+K])
 
# Printing result
print("All K length substrings of string are : " + str(res))


Output

The original string is : Geeks
All K length substrings of string are : ['Gee', 'eek', 'eks']

Time complexity: O(n-k+1) where n is the length of the string and k is the length of the substring to be extracted.
Auxiliary space: O(n-k+1) to store the list of K-length substrings.

Method #7: Using a generator function

Step-by-step approach:

  1. Initialize the given string and initialize the value of K.
  2. Define a generator function called k_length_substrings that takes in the string s and the value of k.
  3. The generator function yields K-length substrings by iterating over the indices of the string up to the last Kth index and slicing the string from that index to the Kth index.
  4. Extract K length substrings by calling the generator function with the given string and K, and store the results in the res list.
  5. Print the results.

Python3




# Python3 code to demonstrate working of
# Extract K length substrings
# Using a generator function
 
# initializing string
test_str = "Geeks"
 
# printing original string
print("The original string is : " + str(test_str))
 
# initializing K
K = 3
 
# generator function to yield K length substrings
def k_length_substrings(s, k):
    for i in range(len(s)-k+1):
        yield s[i:i+k]
 
 
# Extract K length substrings
res = list(k_length_substrings(test_str, K))
 
# printing result
print("All K length substrings of string are : " + str(res))


Output

The original string is : Geeks
All K length substrings of string are : ['Gee', 'eek', 'eks']

Time complexity: O(NK), where n is the length of the string and k is the length of the substring.
Auxiliary space: O(K), where k is the length of the substring (for the generator function).



Like Article
Suggest improvement
Previous
Next
Share your thoughts in the comments

Similar Reads