标签:nbsp span 目录 plt pat cut 分享 gen 技术分享
1. 准备好文本数据
2. pip install jieba
3. pip install wordcloud
4. 下载字体例如Songti.ttc(mac系统下的称呼,并将字体放在项目文件夹下)
from os import path from scipy.misc import imread import matplotlib.pyplot as plt import jieba from wordcloud import WordCloud
text = cleaned_comments #文本数据 cut_text = ‘ ‘.join(jieba.lcut(text)) print(cut_text) color_mask = imread("cat.jpg") cloud = WordCloud( font_path=‘Songti.ttc‘, # 字体最好放在与脚本相同的目录下,而且必须设置 background_color=‘white‘, mask=color_mask, max_words=2000, max_font_size=40 ) word_cloud = cloud.generate(cut_text) plt.imshow(word_cloud) plt.axis(‘off‘) plt.show()
运行结果如下:
参考网址:http://blog.csdn.net/vivian_ll/article/details/68067574
标签:nbsp span 目录 plt pat cut 分享 gen 技术分享
原文地址:http://www.cnblogs.com/zhzhang/p/6784987.html