auto save

my_cloud.py

 import wordcloud
 from PIL import Image  # 导入PIL中的Image模块
 import numpy  # 导入numpy模块
+import jieba  # 导入jieba模块
 
 # 读取出python二级考试大纲文本信息
 with open('python二级考试大纲.txt', encoding='utf-8') as f:
     text = f.read()
-
+txt_list = jieba.lcut(text)
+text = " ".join(txt_list)
 img =  Image.open("bell.png")      # 用Image.open()方法打开图片参数为bell.png并赋值给变量img
 # 用numpy.array()方法将图片像素值整理成多维数组参数为img并赋值给变量data
 data = numpy.array(img)
 # 调用wordcloud.ImageColorGenerator()方法参数为data并赋值给变量img_colors
 img_colors = wordcloud.ImageColorGenerator(data)
+# 建立列表stopwords
+stopwords = ["的","python","和","基本","程序"]
 # 创建词云对象
 # 用wordcloud.Wordcloud()方法参1背景颜色设为白色参2设置词云字体并赋值给变量w参3设置词云模型
-# 参4计算出图片对应位置的颜色值
+# 参4计算出图片对应位置的颜色值参5列表stopwords参6设置最大字体大小
 w=wordcloud.WordCloud(background_color="white",
                       font_path='SimHei.ttf',
-                      mask=data, color_func=img_colors)
+                      mask=data, color_func=img_colors,
+                      stopwords=stopwords, max_font_size=60)
 # 传入词云文本内容
 w.generate(text)        # 用w.generate()方法设置文本内容参数为text
 # 保存为png图片