import pandas as pd import numpy as np import re import jieba from collections import Counter from wordcloud import WordCloud import matplotlib.pyplot as plt# 读取数据 # df = df[['text', 'label']] # df = df.dropna()# 分组 # groups = df.groupby('label')# 加载停用词 stop_words = set() with open('C:/Users/Administrator/Desktop/停用词/stopwords.txt', 'r', encoding='utf-8') as f: for line in f.readlines(): stop_words.add(line.strip())# 定义函数，用于去除停用词和提取关键词 def extract_keywords(text): words = [word for word in jieba.cut(text) if word not in stop_words] return Counter(words).most_common(10)# 提取关键词 keywords = {} for name, group in groups: keywords[name] = [] for text in group['text']: keywords[name].extend(extract_keywords(text)) keywords[name] = dict(keywords[name])# 绘制词云 for name, words in keywords.items(): wordcloud = WordCloud(width=800, height=400, font_path='msyh.ttc').generate_from_frequencies(words) plt.figure(figsize=(12, 8)) plt.imshow(wordcloud, interpolation='bilinear') plt.axis("off") plt.title(name) plt.show() 代码对吗

这段代码有一些问题，需要进行修改：

1. 导入模块时应该每个模块占一行，不要在同一行使用分号分隔。

2. 加载停用词的代码中，应该使用 `with open(...) as f:` 的语法，而不是先打开文件再关闭文件。

3. 定义函数 `extract_keywords` 时，应该将停用词集合作为参数传入。

4. 提取关键词时，应该过滤掉单个字和数字。

5. 绘制词云时，应该设置词云的背景颜色和最大字体大小。

修改后的代码如下所示：

import pandas as pd
import numpy as np
import re
import jieba
from collections import Counter
from wordcloud import WordCloud
import matplotlib.pyplot as plt

# 读取数据
df = pd.read_csv('data.csv')
df = df[['text', 'label']]
df = df.dropna()

# 分组
groups = df.groupby('label')

# 加载停用词
stop_words = set()
with open('C:/Users/Administrator/Desktop/停用词/stopwords.txt', 'r', encoding='utf-8') as f:
    for line in f:
        stop_words.add(line.strip())

# 定义函数，用于去除停用词和提取关键词
def extract_keywords(text, stop_words):
    words = [word for word in jieba.cut(text) if word not in stop_words and len(word) > 1 and not word.isdigit()]
    return Counter(words).most_common(10)

# 提取关键词
keywords = {}
for name, group in groups:
    keywords[name] = []
    for text in group['text']:
        keywords[name].extend(extract_keywords(text, stop_words))
    keywords[name] = dict(keywords[name])

# 绘制词云
for name, words in keywords.items():
    wordcloud = WordCloud(width=800, height=400, font_path='msyh.ttc', background_color='white', max_font_size=100).generate_from_frequencies(words)
    plt.figure(figsize=(12, 8))
    plt.imshow(wordcloud, interpolation='bilinear')
    plt.axis("off")
    plt.title(name)
    plt.show()

请注意，这段代码仅供参考，具体的修改还需要根据实际情况进行调整。