save project

my_cloud.py

-import jieba
-
 from wordcloud import WordCloud,STOPWORDS
 import numpy as np 
 from PIL import Image
 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()
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