小白学Python（12）——pyecharts ,生成词云图 WordCloud

Posted 2020-11-10 徐海建的博客

WordCloud（词云图）

 1 from pyecharts import options as opts
 2 from pyecharts.charts import Page, WordCloud
 3 from pyecharts.globals import SymbolType
 4 
 5 
 6 words = [
 7     ("Sam S Club", 10000),
 8     ("Macys", 6181),
 9     ("Amy Schumer", 4386),
10     ("Jurassic World", 4055),
11     ("Charter Communications", 2467),
12     ("Chick Fil A", 2244),
13     ("Planet Fitness", 1868),
14     ("Pitch Perfect", 1484),
15     ("Express", 1112),
16     ("Home", 865),
17     ("Johnny Depp", 847),
18     ("Lena Dunham", 582),
19     ("Lewis Hamilton", 555),
20     ("KXAN", 550),
21     ("Mary Ellen Mark", 462),
22     ("Farrah Abraham", 366),
23     ("Rita Ora", 360),
24     ("Serena Williams", 282),
25     ("NCAA baseball tournament", 273),
26     ("Point Break", 265),
27 ]
28 
29 worldcloud=(
30     WordCloud()
31     .add("", words, word_size_range=[20, 100])
32     .set_global_opts(title_opts=opts.TitleOpts(title="WordCloud-基本示例"))
33     )
34 worldcloud.render(\'word.html\')

 

 1 from pyecharts import options as opts
 2 from pyecharts.charts import Page, WordCloud
 3 from pyecharts.globals import SymbolType
 4 
 5 
 6 words = [
 7     ("Sam S Club", 10000),
 8     ("Macys", 6181),
 9     ("Amy Schumer", 4386),
10     ("Jurassic World", 4055),
11     ("Charter Communications", 2467),
12     ("Chick Fil A", 2244),
13     ("Planet Fitness", 1868),
14     ("Pitch Perfect", 1484),
15     ("Express", 1112),
16     ("Home", 865),
17     ("Johnny Depp", 847),
18     ("Lena Dunham", 582),
19     ("Lewis Hamilton", 555),
20     ("KXAN", 550),
21     ("Mary Ellen Mark", 462),
22     ("Farrah Abraham", 366),
23     ("Rita Ora", 360),
24     ("Serena Williams", 282),
25     ("NCAA baseball tournament", 273),
26     ("Point Break", 265),
27 ]
28 
29 worldcloud=(
30     WordCloud()
31     .add("", words, word_size_range=[20, 100], shape=SymbolType.DIAMOND)
32     .set_global_opts(title_opts=opts.TitleOpts(title="WordCloud-shape-diamond"))
33     )
34 worldcloud.render(\'word.html\')