python 做词云图，,#导入需要模块imp

python 做词云图，,#导入需要模块imp

#导入需要模块import jiebaimport numpy as np import matplotlib.pyplot as plt from PIL import Image from wordcloud import WordCloud, STOPWORDS, ImageColorGeneratortext_road=str(input(‘请输入文章的路径：‘))picture_road=str(input(‘请输入图片的路径：‘))#加载需要分析的文章text = open(text_road,‘r‘,encoding=‘utf-8‘).read()#对文章进行分词wordlist_after_jieba = jieba.cut(text, cut_all=False)wl_space_split = " ".join(wordlist_after_jieba)#读取照片通过numpy.array函数将照片等结构数据转化为np-arraymask=np.array(Image.open(picture_road))#选择屏蔽词，不显示在词云里面stopwords = set(STOPWORDS)#可以加多个屏蔽词stopwords.add("<br/>")#创建词云对象wc = WordCloud(background_color="white",font_path=‘/Library/Fonts/Arial Unicode.ttf‘,max_words=1000, # 最多显示词数mask=mask, stopwords=stopwords,max_font_size=100 # 字体最大值)#生成词云wc.generate(text)#从背景图建立颜色方案image_colors =ImageColorGenerator(mask) #将词云颜色设置为背景图方案wc.recolor(color_func=image_colors) #显示词云plt.imshow(wc,interpolation=‘bilinear‘)#关闭坐标轴plt.axis("off")#显示图像plt.show()#保存词云wc.to_file(‘词云图.png‘)

#导入需要模块import jiebaimport numpy as npimport matplotlib.pyplot as pltfrom PIL import Imagefrom wordcloud import WordCloud, STOPWORDS, ImageColorGeneratortext_road=str(input(‘请输入文章的路径：‘))picture_road=str(input(‘请输入图片的路径：‘))#加载需要分析的文章text = open(text_road,‘r‘,encoding=‘utf-8‘).read()#对文章进行分词wordlist_after_jieba = jieba.cut(text, cut_all=False)wl_space_split = " ".join(wordlist_after_jieba)#读取照片通过numpy.array函数将照片等结构数据转化为np-arraymask=np.array(Image.open(picture_road))#选择屏蔽词，不显示在词云里面stopwords = set(STOPWORDS)#可以加多个屏蔽词stopwords.add("<br/>")#创建词云对象wc = WordCloud( background_color="white", font_path=‘/Library/Fonts/Arial Unicode.ttf‘, max_words=1000, # 最多显示词数 mask=mask, stopwords=stopwords, max_font_size=100 # 字体最大值 )#生成词云wc.generate(text)#从背景图建立颜色方案image_colors =ImageColorGenerator(mask)#将词云颜色设置为背景图方案wc.recolor(color_func=image_colors)#显示词云plt.imshow(wc,interpolation=‘bilinear‘)#关闭坐标轴plt.axis("off")#显示图像plt.show()#保存词云wc.to_file(‘词云图.png‘)

python 做词云图