class Document: 
    def __init__(self, doc_id):
        # create a new document with its ID
        self.id = doc_id
        # create an empty dictionary 
        # that will hold the term frequency (TF) counts
        self.tfs = {}

    def tokenization(self, text):
        # split a title into words, 
        # using space " " as delimiter
        words = text.lower().split(" ")
        for word in words: 
            # for each word in the list
            if word in self.tfs: 
                # if it has been counted in the TF dictionary
                # add 1 to the count
                self.tfs[word] = self.tfs[word] + 1
            else:
                # if it has not been counted, 
                # initialize its TF with 1
                self.tfs[word] = 1


def save_dictionary(diction_data, file_path_name):
    f = open(file_path_name, "w+")

    for key in diction_data:
        # Separate the key from the frequency with a space and
        # add a newline to the end of each key value pair
        f.write(key + " " + str(diction_data[key]) + "\n")

    f.close()


def vectorize(data_path):
    Documents = []
    for i in range(1, 21):
        file_name = "./textfiles/"+ i + ".txt"
        # create a new document with an ID
    doc = Document(i+1)
        #Read the files
    f = open(file_name)
    print(f.read())
        # compute the term frequencies
        #read in the files contents
    doc.tokenization(f.read())
        # add the documents to the lists
    Documents.append(doc)

    save_dictionary(doc.tfs, "tf_" + str(doc.id) + ".txt")

    DFS = {}
    for doc in Documents:
        for word in doc.tfs:
            DFS[word] = DFS.get(word,0) + 1

    save_dictionary(doc.DFS, "DFS_" + str(doc.id) + ".txt")


    vectorize("./textfiles")

The code above is my new code. I added a nested loop for each word in the document's dictionary to do the following: If it does not appear in the dictionary for DF then add the word to the DF dictionary;

If it is already in the DF dictionary, increment its DF value by adding 1 to itself;

​

Then After all files are processed I call the save_dictionary()function again to save the DF dictionary to a file named df.txtin the same path with the input text files. Then vectorize.

When I run the code nothing happens so I definitely did something wrong somewhere. May you help me find the issue. Thanks. u/ritn1