TypeError:图像数据无法转换为float在word cloud生成程序中作为错误持续存在

Question

我试图通过向程序传递一个.txt文件，然后迭代所述txt文件，处理掉任何标点符号和不感兴趣的填充词，然后将处理后的字典传递给外部词云模块，来构建一个词云图像。我已经将file_contents设置为一个单词列表，并将它们拆分。然后迭代列表以用空字符串替换任何标点符号，然后将字典设置为迭代列表并将单词存储在所述字典中。一旦将结果存储到字典中，就会检查它们是否有填充词的列表，如果有匹配，则将它们替换为空字符串，然后返回dict值。我试了所有的方法，但仍然找不到我自己的问题所在。

def calculate_frequencies(file_contents):
# 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
words = [file_contents.split()]
frequencies = {}
for word in words:
    if punctuations in words:
        words.replace(punctuations, "")
        frequencies = {word +1} 
        if uninteresting_words in frequencies:
            frequencies.replace(uninteresting_words, "")
        return frequencies
    return words

#wordcloud
cloud = wordcloud.WordCloud()
cloud.generate_from_frequencies(frequencies)
return cloud.to_array()

任何提示和指示都会有所帮助，谢谢

Answer 1

我创造了一个例子..。这并不是一个完美的方案，但我认为它达到了您的要求。我提供了注释作为解释

def calculate_frequencies(file_contents):
    # 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
    # words = file_contents.split()
    # split the file contents and convert all the words into lower case
    words = [x.lower() for x in file_contents.split()]
    # init a 'frequencies' dictionary
    frequencies = {}
    # loop through each word in the 'words' list
    for i, word in enumerate(words):
        # we only care when the word isn't in the uninteresting_words list
        if word not in uninteresting_words:
            # loop through each punctuation
            for punc in punctuations:
                # replacing the punctuation with ''
                words[i] = words[i].replace(punc, '')
            # add the word to 'frequencies'/increase the value stored
            if words[i] in frequencies:
                frequencies[words[i]] += 1
            else:
                frequencies[words[i]] = 1
    return frequencies

print(calculate_frequencies("I am repeating repeating repeating."))