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This article will explain in detail what are the methods of Python word frequency statistics. The editor thinks it is very practical, so I share it for you as a reference. I hope you can get something after reading this article.

Count the number of words in the file:

Count the words in the document and the number of times they appear

Save it with two lists, and then connect the output with the zip () function * *

Idea to set up and start practice method 1: # Import file with open ("passage.txt",'r') as file: dates = file.readlines () # handle words = [] for i in dates: words + = i.replace ("\ n", "). Split (") # replace the newline words + with empty characters in order not to be overwritten + there will be only the last piece of data # print ("\ n"). "). Split (")) setWords = list (set (words)) # set automatic deduplication num = [] # count the number of times a word appears for k in setWords: count = 0 for j in words: if k = = j: count = count + 1 num.append (count) print (num) print (setWords) # output for x, y in zip (setWords) Num): # combine two lists with zip print (x + ":" + str (y)),

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Method 2:

This method is used for dictionaries, which is a little simpler than the previous one.

# Import with open ("passage.txt",'r') as file: dates = file.readlines () # handle words = [] for i in dates: words + = i.replace ("\ n", "). Split (") # print (i.replace ("\ n") ") .split (")) # setWords=list (set (words)) # can not use this print (words) print ("-" * 40) # print (setWords) diccount = dict () for i in words: if (i not in diccount): diccount [I] = 1 # the first dictionary assignment is equivalent to iTunes 1 I is the word # print (diccount) else in words: diccount [I] = diccount [I] + 1 # and all the ergodic assignments are in it. Let's count print (diccount).

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Statistical documentation

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