![]() ![]() Then this file is split and words are separated and stored as a list. First, the txt file is uploaded in the colab notebook. The two different approaches to show how to find the unique words in a given txt file. The sorted words list after removing duplicates from this txt file is : The sorted words list from this txt file is : Myuniquewordlist = list(omkeys(words_in_file)) Print("\nThe sorted words list after removing duplicates from this txt file is :\n") Print("\nThe sorted words list from this txt file is :\n") #Change the sentences to the list of words This will give the number of unique words in a given string. ![]() Step 6 − Calculate the length of the final list and display its value. Step 5 − Finally print the list containing unique words. Step 4 − This has to be converted back to the list now. Step 3 − Now, for getting rid of the duplicate words and retain only the unique used omkeys(words_in_file) The alphabetically sorted list will also show the repeated words. Step 2 − Sort this list and print this list. The number of unique words given in this txt file are :ġ9 Approach 2:- Finding the Number of Unique Words in Text File by using Python Dictionary The unique words given in this txt file are : Print("\nThe number of unique words given in this txt file are :\n") #Find the number of words left in this list Print("\nThe unique words given in this txt file are :\n") Print("\nThe words given in the txt file are :\n") Print("The given txt file content is :\n") #ALter the sentences to the list of words Example # Use open method to open the respective text file Step 6 − This will give the number of unique words in a given string. Step 3 − Show the set with all the unique words using the print statement. Here, the set will contain the unique words only. Step 1 − Start with the list ‘words_in_file’, after preprocessing steps. The content in the file1.txt is given here… This is a new file.įigure: Uploading the file1.txt in Google Colab Approach 1:- Finding the Number of Unique Words in Text File by using Python Sets After the Preprocessing steps, the following steps are used for Approach 1 Step 6 − Print the list called ‘words_in_file’ having the words from the text file. Step 5 − To separate the words given in the txt file, use the split function. Step 4 − Convert the text file to lowercase. Step 2 − First upload the txt file "file1.txt" to Google Colab. Open a new Colab Notebook and write the Python code in it. After this from this sorted list, the duplicates are removed and finally, the unique word left in the file are counted to give the final result. In example 2, first the list of words is created, then it is sorted. In the first example, given words from a text file are fetched, and then their unique set is made before counting these unique words. In this Python article, using two different examples, the approaches to finding the unique words in a text file and their count are given. In this article, the given task is to find the number of unique words in a text file. ![]()
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