import jieba import numpy import numpy as np from PIL import Image from wordcloud import WordCloud, STOPWORDS import matplotlib.pyplot as plt with open("comments.txt","r",encoding="utf-8") as f: comments = f.read() words = jieba.cut(comments) stopwords = set(STOPWORDS) stopwords.add('腾讯') stopwords.add('游戏') filtered_words = [] for word in words: if word not in stopwords: filtered_words.append(word) mask = np.array(Image.open("mask.png")) cloud = WordCloud( font_path="C:\Windows\Fonts\simsun.ttc", background_color="white", mask=mask ).generate(" ".join(filtered_words)) cloud.to_file("词云.png") print("词云绘制成功")这个代码运行结果为什么是错误

这段代码缩进有误，导致程序运行时会出现语法错误。代码中的 WordCloud 的 generate 方法和 to_file 方法应该在 for 循环外面，否则会导致生成多个词云图片。除此之外，代码中使用的路径需要注意转义符的使用。修改后的代码如下所示：

import jieba 
import numpy as np 
from PIL import Image 
from wordcloud import WordCloud, STOPWORDS 
import matplotlib.pyplot as plt 

with open("comments.txt","r",encoding="utf-8") as f:     
    comments = f.read()     
    words = jieba.cut(comments)     
    stopwords = set(STOPWORDS)     
    stopwords.add('腾讯')     
    stopwords.add('游戏')     
    filtered_words = []     
    for word in words:         
        if word not in stopwords:             
            filtered_words.append(word) 
    
    mask = np.array(Image.open("mask.png")) 
    cloud = WordCloud(                 
        font_path=r"C:\Windows\Fonts\simsun.ttc",                 
        background_color="white",                 
        mask=mask,                 
        stopwords=stopwords
    ).generate(" ".join(filtered_words))     
    cloud.to_file("词云.png")     
    print("词云绘制成功")

注意，代码中的 font_path 路径需要使用原始字符串标记 r，避免转义符被 Python 解释器处理。此外，WordCloud 对象的 stopwords 属性可以直接传入 stopwords 变量，这样就不需要在循环中判断单词是否在停用词列表中了。