Python drawing word cloud

wordcloud：

• Install the module ：pip install wordcloud
• Basic use ：
  • WordCloud(font_path, background_color, width, height, max_words).generate(xxx)
    • font_path： The font of the text
    • collocations： Whether it contains the collocation of two words , The default is true, So there will be duplicate data
    • background_color： Background color
    • width： The width of the curtain
    • height： Height of curtain
    • max_words： Maximum number of words displayed
    • generate： Read text file
• Case study ：

from wordcloud import WordCloud

with open("xxx.txt", encoding="utf-8") as r:
    #  Read the text 
    txt = r.read()
    #  Set the style of word cloud 
    wordcloud = WordCloud(font_path="xxx.ttf", collocations=False, background_color="black", width=800, height=600, max_words=50).generate(txt)
    #  Generate pictures 
    img = wordcloud.to_image()
    #  Show pictures 
    img.show()
    #  Save the picture 
    wordcloud.to_file("xxx.jpg")

jieba：

• Install the module ：pip install jieba
• The basic format ：
  • jieba.analyse.extract_tags(xxx, topK, withWeight, allowPOS)
    • xxx： Text to be processed
    • topK： Returns the number of keywords , Importance goes from high to low
    • withWeight： Returns the weight of each keyword
    • allowPOS： The part of speech to be extracted ,n Is a noun 、v It's a verb , The value passed is Yuanzu
• Case study ：

import jieba.analyse
from wordcloud import WordCloud

#  Set text content 
text = ""
#  Use jieba participle , Extract key words 
seg_list = jieba.analyse.extract_tags(text, allowPOS=("n", "v"))
#  Splice keywords into strings 
txt_str = " ".join(seg_list)

#  Set the style of word cloud 
wordcloud = WordCloud(font_path="xxx.ttf", collocations=False, background_color="black", width=800, height=600, max_words=50).generate(txt_str)
#  Generate pictures 
img = wordcloud.to_image()
#  Show pictures 
img.show()
#  Save the picture 
wordcloud.to_file("xxx.jpg")