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python绘制词云图
简介：本文讲解如何通过python绘制词云图。
需要注意的是，需要将代码中的your_excel_file_path.xlsx替换为你自己的Excel文件路径，column_name替换为你要生成词云图的那一列的列名。另外，还可以根据需要调整参数，如停用词、词云图大小、背景颜色等。
效果展示
文章来源：https://www.toymoban.com/news/detail-523682.html
import pandas as pd
import jieba
from collections import Counter
from wordcloud import WordCloud
import matplotlib.pyplot as plt
# 读取评论数据
df = pd.read_excel(r'D:\系统默认\桌面\京东评论-当前商品最近评论.xlsx')
# 文本预处理
df['comment'] = df['comment'].apply(lambda x: ' '.join(jieba.lcut(x))) # 分词
# 读取停用词
with open('D:\系统默认\桌面\stop_words_eng.txt', 'r', encoding='utf-8') as f:
stop_words = f.read().split('\n')
df['comment'] = df['comment'].apply(lambda x: ' '.join([word for word in
x.split() if word not in stop_words])) # 去除停用词
# 统计单词出现频率
words = []
for comment in df['comment']:
words += comment.split()
word_count = Counter(words).most_common(100)
print(word_count)
生成词云图
font_path = r'C:\Windows\Fonts\msyh.ttc' # 指定微软雅黑字体路径
wordcloud = WordCloud(width=800, height=600, background_color='white',
font_path=font_path).generate_from_frequencies(word_count)
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis('off')
plt.show()
这里给一份常用的停词stop_words_eng.txt文章来源地址https://www.toymoban.com/news/detail-523682.html
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