save project

my_cloud.py

-import jieba
-
 from wordcloud import WordCloud,STOPWORDS
 from wordcloud import WordCloud,STOPWORDS
 import numpy as np 
 import numpy as np 
 from PIL import Image
 from PIL import Image
 import matplotlib.pyplot as plt
 import matplotlib.pyplot as plt
-wc=WordCloud(mask=np.arry(Image.open("./picture/bell.png"),background_color="white",max_words=2000,height=400,width=800,max_font_size=50,stopwords=" ",
-font_path='C:/Windows/Fonts/SimHei.ttf')
-wc.generate("C:\Users\Administrator\Desktop\python二级考试大纲.txt")
-plt.imshow(wc,interpolation='bilinear')
+import jieba
+f=open('python二级考试大纲.txt','r',encoding='utf-8')
+txt=f.read()
+f.close()
+words = jieba.lcut(txt)
+counts={}
+chiyun=[]
+for word in words:
+    if len(word)<2:
+        continue
+    else:
+        counts[word]=counts.get(word,0)+1
+items=list(counts.items())
+items.sort(key=lambda x: x[1],reverse=True)
+for i in range(len(items)):
+    word,counts=items[i]
+    chiyun.append(word)
+print(chiyun)
+maskph=np.array(Image.open('alice.png'))
+text_cut='/'.join(chiyun)
+wc=WordCloud(mask=maskph,background_color="white",max_words=2000,height=400,width=800,max_font_size=50,stopwords=" ",
+font_path='simhei.ttf').generate(text_cut)
+
+
+plt.imshow(wc)
+plt.axis('off')
 plt.show()
 plt.show()
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