python词云 生成简单

生成词云的步骤如下：

1. 安装相关的库：`pip install wordcloud jieba matplotlib`

2. 准备文本文件，读入文本并进行分词处理。这里以中文文本为例：

   import jieba
   
   # 读入文本文件
   with open('text.txt', 'r', encoding='utf-8') as f:
       text = f.read()
   
   # 对文本进行分词
   words = jieba.cut(text)

3. 统计单词出现的频率，并生成词云：

   from wordcloud import WordCloud
   import matplotlib.pyplot as plt
   
   # 统计单词出现的频率
   word_freq = {}
   for word in words:
       if word not in word_freq:
           word_freq[word] = 1
       else:
           word_freq[word] += 1
   
   # 生成词云
   wc = WordCloud(background_color='white', width=800, height=600)
   wc.generate_from_frequencies(word_freq)
   
   # 显示词云
   plt.imshow(wc, interpolation='bilinear')
   plt.axis('off')
   plt.show()

完整代码如下：

import jieba
from wordcloud import WordCloud
import matplotlib.pyplot as plt

# 读入文本文件
with open('text.txt', 'r', encoding='utf-8') as f:
    text = f.read()

# 对文本进行分词
words = jieba.cut(text)

# 统计单词出现的频率
word_freq = {}
for word in words:
    if word not in word_freq:
        word_freq[word] = 1
    else:
        word_freq[word] += 1

# 生成词云
wc = WordCloud(background_color='white', width=800, height=600)
wc.generate_from_frequencies(word_freq)

# 显示词云
plt.imshow(wc, interpolation='bilinear')
plt.axis('off')
plt.show()