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