wordcloud_hlm

wordcloud_hlm.py

@@ -0,0 +1,50 @@
+from os import path
+from wordcloud import WordCloud
+import jieba
+import re
+#
+# special_character_removal = re.compile(r'[，。、【 】“”：；（）《》‘’{}？！⑦%>℃.^-——=&#@￥『』]', re.IGNORECASE)
+#
+# #
+# # text =""
+# fw=open("hlm_seg.txt","w",encoding="utf-8")
+# with open('hlm.txt',encoding="utf-8") as fp:
+#     for line in fp:
+#         l = special_character_removal.sub('', line.strip())
+#         words=jieba.cut(l)
+#
+#         t=" ".join(words)
+#         fw.write(t)
+#         fw.write("\n")
+# fw.close()
+
+
+# import numpy as np
+# from PIL import Image, ImageDraw, ImageFont
+# background_image =  np.array(Image.open("background.png"))
+d = path.dirname(__file__)
+# Read the whole text.
+text = open(path.join(d, 'hlm_seg.txt'),encoding="utf-8").read()
+# Generate a word cloud image
+# font=path.join(d, "simkai.ttf")
+font='C:/Windows/Fonts/simkai.ttf'
+wordcloud = WordCloud(font_path=font,#设置中文字体，不指定就会出现中文不显示
+                      width=1024,#宽
+                      height=840,#高
+                      background_color='white',#设置背景色
+                      # mask=background_image#背景
+                      # max_words=100,#最大词汇数
+                      # max_font_size=100#最大号字体
+                      ).generate(text)
+
+# Display the generated image:
+# the matplotlib way:
+import matplotlib.pyplot as plt
+
+# lower max_font_size
+# wordcloud = WordCloud(max_font_size=40).generate(text)
+
+plt.figure()
+plt.imshow(wordcloud)
+plt.axis("off")
+plt.show()