Python数据分析系列04-豆瓣影评、歌词词云分析

数据

展示

from wordcloud import WordCloud
import jieba
import numpy
import PIL.Image as Image 


def cut(text):
    wordlist_jieba = jieba.cut(text)
    space_wordlist = " ".join(wordlist_jieba)
    return space_wordlist


with open("我不是药神.txt", encoding="utf-8")as file:
    text = file.read()
    # 分词
    text = cut(text)
    mask_pic = numpy.array(Image.open("地图.png"))
    wordcloud = WordCloud(font_path="STHeiti-Light.ttc",
                          collocations=False,
                          background_color="white",
                          max_words=1000,
                          #stopwords=["的", "电影", "也", "了", "是", "都"],  
                          mask=mask_pic
     ).generate(text)
    image = wordcloud.to_image()
    wordcloud.to_file('词云_03.png')

如果学习上有遇到问题，加/：yiyi990805（备注：阿里云tony）即可。

如果本文对你学习有所帮助-可以点赞👍+ 关注！将持续更新更多新的文章。