1 分析英文文本
1 from wordcloud import WordCloud 2 import os 3
4 cur_path = os.path.dirname(__file__) 5
6 with open(os.path.join(cur_path, 'love_en.txt')) as fp: 7 txt = fp.read() 8 # print(txt)
9 wordcloud = WordCloud().generate(txt) 10 image = wordcloud.to_image() 11 image.show()
发生错误，错误类型:OSError: cannot open resource
解决方案：添加字体
改正后代码：
1 from wordcloud import WordCloud 2 import os 3
4 cur_path = os.path.dirname(__file__) 5
6 with open(os.path.join(cur_path, 'love_en.txt')) as fp: 7 txt = fp.read() 8 # print(txt)
9 wordcloud = WordCloud(font_path = 'FZLTXIHK.TTF').generate(txt) 10 image = wordcloud.to_image() 11 image.show()
进一步优化代码：
1 from wordcloud import WordCloud 2 import os 3
4 cur_path = os.path.dirname(__file__) 5
6 with open(os.path.join(cur_path, 'love_en.txt')) as fp: 7 txt = fp.read() 8 # print(txt)
9 wordcloud = WordCloud(font_path = 'FZLTXIHK.TTF', # 字体
10 background_color = 'black', # 背景色
11 max_words = 30, # 最大显示单词数
12 max_font_size = 60 # 频率最大单词字体大小
13 ).generate(txt) 14 image = wordcloud.to_image() 15 image.show()
效果图：
2 分析中文文本
1 import jieba 2 from wordcloud import WordCloud 3 import os 4
5 cur_path = os.path.dirname(__file__) 6
7 def chinese_jieba(txt): 8 wordlist_jieba = jieba.cut(txt) # 将文本分割，返回列表
9 txt_jieba = " ".join(wordlist_jieba) # 将列表拼接为以空格为间断的字符串
10 return txt_jieba 11
12 stopwords = {'这些':0, '那些':0, '因为':0, '所以':0} # 噪声词
13
14 with open(os.path.join(cur_path, '择天记.txt')) as fp: 15 txt = fp.read() 16 txt = chinese_jieba(txt) 17 # print(txt)
18 wordcloud = WordCloud(font_path = 'FZLTXIHK.TTF', # 字体
19 background_color = 'black', # 背景色
20 max_words = 30, # 最大显示单词数
21 max_font_size = 60, # 频率最大单词字体大小
22 stopwords = stopwords # 过滤噪声词
23 ).generate(txt) 24 image = wordcloud.to_image() 25 image.show()
效果图：
3 进一步优化显示效果
1 import jieba 2 from wordcloud import WordCloud 3 import os 4 import numpy 5 import PIL.Image as Image 6
7 cur_path = os.path.dirname(__file__) 8
9 def chinese_jieba(txt): 10 wordlist_jieba = jieba.cut(txt) # 将文本分割，返回列表
11 txt_jieba = " ".join(wordlist_jieba) # 将列表拼接为以空格为间断的字符串
12 return txt_jieba 13
14 stopwords = {'这些':0, '那些':0, '因为':0, '所以':0} # 噪声词
15 mask_pic = numpy.array(Image.open(os.path.join(cur_path, 'love.jpg'))) 16
17 with open(os.path.join(cur_path, '择天记.txt')) as fp: 18 txt = fp.read() 19 txt = chinese_jieba(txt) 20 # print(txt)
21 wordcloud = WordCloud(font_path = 'FZLTXIHK.TTF', # 字体
22 background_color = 'white', # 背景色
23 max_words = 100, # 最大显示单词数
24 max_font_size = 60, # 频率最大单词字体大小
25 stopwords = stopwords, # 过滤噪声词
26 mask = mask_pic # 自定义显示的效果图
27 ).generate(txt) 28 image = wordcloud.to_image() 29 image.show()
效果图：