Given a sentence containing n words/strings. Remove all duplicates words/strings which are similar to each others.
Examples:
Input : Geeks for Geeks Output : Geeks for Input : Python is great and Java is also great Output : is also Java Python and great
We can solve this problem quickly using python Counter() method. Approach is very simple.
1) Split input sentence separated by space into words.
2) So to get all those strings together first we will join each string in given list of strings.
3) Now create a dictionary using Counter method having strings as keys and their frequencies as values.
4) Join each words are unique to form single string.
from collections import Counter def remov_duplicates(input): # split input string separated by space input = input.split(" ") # joins two adjacent elements in iterable way for i in range(0, len(input)): input[i] = "".join(input[i]) # now create dictionary using counter method # which will have strings as key and their # frequencies as value UniqW = Counter(input) # joins two adjacent elements in iterable way s = " ".join(UniqW.keys()) print (s) # Driver programif __name__ == "__main__": input = 'Python is great and Java is also great' remov_duplicates(input) |
Output:
is also Java Python and great
Alternative Method:-
# Program without using any external librarys = "Python is great and Java is also great"l = s.split()k = []for i in l: # If condition is used to store unique string # in another list 'k' if (s.count(i)>1 and (i not in k)or s.count(i)==1): k.append(i)print(' '.join(k)) |
Output:- Python is great and java also
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course
