auto save

my_cloud.py

-import wordcloud
\ No newline at end of file
+import wordcloud  # 导入wordcloud模块
+from PIL import Image  # 导入PTL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) # 用jieba.lcut()方法进行分词参数为text并赋值给txt_list
+text = " ".join(txt_list) # 用join()方法参数为txt_list连接" "并赋值给text
+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wordloud.ImageColorGenerator()方法参数为data并赋值给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参5列表stopwords参6设置最大字体大小为60
+w=wordcloud.WordCloud(background_color="white",
+                      font_path='SimHei.ttf',
+                      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
+w.to_file("mycloud.png")  # 用w.to_file()方法
\ No newline at end of file