Python-词云分析图

• Pytorch版本
• 打开对应的文本

filename = "D:\Project_Encyclopedia\img\paper.txt"
with open(filename) as f:
 mytext = f.read()

• 输出文本

print(mytext)

• 然后我们呼唤(import)词云包，利用mytext中存储的文本内容来制造词云。

from wordcloud import WordCloud
wordcloud = WordCloud().generate(mytext)

• 生成词云分析图

%pylab inline
import matplotlib.pyplot as plt
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")

•  图片版

•  pycharm版本

import jieba
import sys
from wordcloud import WordCloud

#在引入jieba模块后加入这行代码，代码即可不报错
jieba.setLogLevel(jieba.logging.INFO)

mytext=open('paper.txt','r').read()
mytext = " ".join(jieba.cut(mytext))
jieba.setLogLevel(jieba.logging.INFO)
wordcloud = WordCloud().generate(mytext)
import matplotlib.pyplot as plt
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")
plt.show()

• 对于中文词频

下载相应的simsun.ttf，作为指定输出字体

import jieba
import sys
from wordcloud import WordCloud

#在引入jieba模块后加入这行代码，代码即可不报错
jieba.setLogLevel(jieba.logging.INFO)

mytext=open('paper.txt','r').read()
mytext = " ".join(jieba.cut(mytext))
jieba.setLogLevel(jieba.logging.INFO)
wordcloud = WordCloud(font_path="simsun.ttf").generate(mytext)
import matplotlib.pyplot as plt
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")
plt.show()

simsun.ttf 相应的下载链接 http://www.xiazaiziti.com/210906.html

• 输出