【实践】如何用python绘制词云图（文本数据可视化）？

 # 导入相应的库

    
 import jieba
    
 from wordcloud import WordCloud
    
 import matplotlib.pyplot as plt
    
 import PIL
    
 import numpy as np
    
  
    
 # 导入文本数据并进行简单的文本处理
    
 # 去掉换行符和空格以及标点符号
    
 text = open("虎年贺词.txt",encoding='utf8').read()
    
 text = text.replace('\n',"").replace("，","").replace("。","").replace("、","").replace("；","").replace("！","").replace("：","")
    
  
    
 # 分词，返回结果为词的列表
    
 text_cut = jieba.lcut(text)
    
  
    
 #停用词库
    
 stop_words = open("Stop Words.txt",encoding="utf8").read().split("\n")
    
  
    
 # 将分好的词用某个符号分割开连成字符串
    
 text_cut = ' '.join(text_cut)
    
 #print(text_cut)
    
  
    
 #词云形状
    
 image1 = PIL.Image.open('background.png')
    
 MASK = np.array(image1)
    
  
    
 #绘制词云
    
 word_cloud = WordCloud(font_path="simsun.ttc", 
    
                    background_color="white", 
    
                    mask=MASK,                # 指定词云的形状
    
                    stopwords=stop_words
    
                    )
    
 word_cloud.generate(text_cut)
    
  
    
  
    
 # 运用matplotlib展现结果
    
 plt.subplots(figsize=(12,8))
    
 plt.imshow(word_cloud)
    
 plt.axis("off")
    
 plt.show()