Turning a list into a frequency dictionary-CodePudding

I am currently attempting to turn a list into a frequency dictionary. I am reading a file, separating the file into each individual words on a line and attempting to turn each word into its own frequency dictionary in order to find how many times it occurs. I was wondering how I would accomplish this. This is what I currently have:

with open(file, 'r', encoding = 'utf-8') as fp:
    lines = fp.readlines()
    for row in lines:
        for word in row.split():
            print(word)

Currently, my program outputs a new word on each line. How would I make it so that the words are each their own dictionaries and can find the frequency of them?

CodePudding user response：

The Counter class was designed for exactly this task.

from collections import Counter
with open(file, 'r', encoding='utf-8') as fp:
    counts = Counter(fp.read().split())

Now you can print counts and use its methods to get the most common words.

CodePudding user response：

If you are doing this for learning purposes (i.e. want to do it yourself, rather than using Counter, here is an example:

d = {} # Start with an empty ditctionary
with open(file, 'r', encoding = 'utf-8') as fp:
    lines = fp.readlines()
    for row in lines:
        for word in row.split():
            d[word] = d.get(word,0)   1 # Insert word into dictionary or update its value