如何使用我的脚本删除无趣的单词和字符？

Question

I can not figure out what I'm doing wrong here. This is just part of my project and I am trying to exclude punctuations and uninteresting_words for my final part of the project. I can run my script in full but it does not remove punctuation or uninteresting_words. I have tried turning punctuations into a list but it isn't a list of the contents separated into individual items, it's just a list now with all the characters in it as one list item. As you can see in the code below, I tried saving punctuations.split() as a new variable called char and have tried several ways of if loops and iteration to work through words in file_contents

def calculate_frequencies(file_contents):   # file_contents is being passed in through another 
                                            # part of the code that comes before this def
    # Here is a list of punctuations and uninteresting words you can use to process your text
    punctuations = '''!()-[]{};:'"\,<>./?@#$%^&*_~'''
    uninteresting_words = ["the", "a", "to", "if", "is", "it", "of", "and", "or", "an", "as", "i", "me", "my", \
    "we", "our", "ours", "you", "your", "yours", "he", "she", "him", "his", "her", "hers", "its", "they", "them", \
    "their", "what", "which", "who", "whom", "this", "that", "am", "are", "was", "were", "be", "been", "being", \
    "have", "has", "had", "do", "does", "did", "but", "at", "by", "with", "from", "here", "when", "where", "how", \
    "all", "any", "both", "each", "few", "more", "some", "such", "no", "nor", "too", "very", "can", "will", "just"]
    
    # LEARNER CODE START HERE
    char = punctuations.split()
    result = {}
    for words in file_contents.split():
      if words == uninteresting_words:
        pass
      if words.isalnum() and words != uninteresting_words:
        if words not in result:
            result[words]=1
        else:
            result[words]+=1
            
    print(result) # this line and the following 2 are just so i can see what how they show up
    print(char)
    print(uninteresting_words)
    
    
    #wordcloud-this part and after is ok and is working as expected with the code that follows 
    cloud = wordcloud.WordCloud()
    cloud.generate_from_frequencies(result)
    return cloud.to_array()

Answer 1

As the comment said you should use if words in uninteresting_words:

I don't think your input text is splitting on special characters on punctuation anyway. list.split() splits on spaces by default. Use words.strip(punctuation) to remove the punctuation all together.

You should also not use a docstring (''', the trippple quote) for a string. Use ' or " and escape other characters as needed.

def calculate_frequencies(file_contents):   # file_contents is being passed in through another 
                                            # part of the code that comes before this def
    # Here is a list of punctuations and uninteresting words you can use to process your text
    punctuations = "!()-[]{};:'\"\\,<>./?@#$%^&*_~"
    uninteresting_words = ["the", "a", "to", "if", "is", "it", "of", "and", "or", "an", "as", "i", "me", "my", \
    "we", "our", "ours", "you", "your", "yours", "he", "she", "him", "his", "her", "hers", "its", "they", "them", \
    "their", "what", "which", "who", "whom", "this", "that", "am", "are", "was", "were", "be", "been", "being", \
    "have", "has", "had", "do", "does", "did", "but", "at", "by", "with", "from", "here", "when", "where", "how", \
    "all", "any", "both", "each", "few", "more", "some", "such", "no", "nor", "too", "very", "can", "will", "just"]
    
    # LEARNER CODE START HERE
    result = {}
    for words in file_contents.split():
      words = words.strip(punctuations)
      if words in uninteresting_words:
        pass
      else:
        if words not in result:
            result[words]=1
        else:
            result[words]+=1
            
    print(result) # this line and the following 2 are just so i can see what how they show up
    print(punctuations)
    print(uninteresting_words)
    
    cloud = wordcloud.WordCloud()
    cloud.generate_from_frequencies(result)
    return cloud.to_array()

That should do it.This was the solution that i needed

https://www.python.org/dev/peps/pep-0257/