文本可以用下面链接下载
https://github.com/flypythoncom/flypython/blob/master/wordcloud_hlm_seg.txt
或者可以自己写代码，对文本进行清洗，分词。
这里需要安装jieba分词，pip install jieba
import jieba
-import re
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import jieba
import re
special_character_removal = re.compile(r'[，。、【 】“”：；（）《》‘’{}？！⑦%>℃.^-——=&#@￥『』]', re.IGNORECASE)
fw=open("hlm_seg.txt","w",encoding="utf-8")
with open('hlm.txt',encoding="utf-8") as fp:
for line in fp:
l = special_character_removal.sub('', line.strip())
words=jieba.cut(l)
t=" ".join(words)
fw.write(t)
fw.write("\n")
fw.close()
-special_character_removal = re.compile(r'[，。、【 】“”：；（）《》‘’{}？！⑦%>℃.^-——=&#@￥『』]', re.IGNORECASE)
+3. 编写词云python代码并运行
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from os import path
from wordcloud import WordCloud
d = path.dirname(__file__)
# Read the whole text.
text = open(path.join(d, 'hlm_seg.txt'),encoding="utf-8").read()
# Generate a word cloud image
# font=path.join(d, "simkai.ttf")
font='C:/Windows/Fonts/simkai.ttf'
wordcloud = WordCloud(font_path=font,#设置中文字体，不指定就会出现中文不显示
width=1024,#宽
height=840,#高
background_color='white',#设置背景色
# max_words=100,#最大词汇数
# max_font_size=100#最大号字体
).generate(text)
# Display the generated image:
# the matplotlib way:
import matplotlib.pyplot as plt
plt.figure()
plt.imshow(wordcloud)
plt.axis("off")
plt.show()
-fw=open("hlm_seg.txt","w",encoding="utf-8")
-
-with open('hlm.txt',encoding="utf-8") as fp:
- for line in fp:
- l = special_character_removal.sub('', line.strip())
- words=jieba.cut(l)
- t=" ".join(words)
- fw.write(t)
- fw.write("\n")
-fw.close()from os import path
-from wordcloud import WordCloud
-
-d = path.dirname(__file__)
-# Read the whole text.
-text = open(path.join(d, 'hlm_seg.txt'),encoding="utf-8").read()
-# Generate a word cloud image
-# font=path.join(d, "simkai.ttf")
-font='C:/Windows/Fonts/simkai.ttf'
-wordcloud = WordCloud(font_path=font,#设置中文字体，不指定就会出现中文不显示
- width=1024,#宽
- height=840,#高
- background_color='white',#设置背景色
- # max_words=100,#最大词汇数
- # max_font_size=100#最大号字体
- ).generate(text)
-
-# Display the generated image:
-# the matplotlib way:
-import matplotlib.pyplot as plt
-
-plt.figure()
-plt.imshow(wordcloud)
-plt.axis("off")
-plt.show()结果：
+结果：
后台回复“词云”获得完整运行代码
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