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