#python 做詞云 -jupyter跟隨王樹(shù)義教程學(xué)習(xí)
參考連接
https://www.jianshu.com/p/e4b24a734ccc
https://www.jianshu.com/p/af6201d2f0c6

安裝 wordcloud

pip install wordcloud

#進(jìn)入包含txt文件的Jupyter

代碼

記得庫(kù)都要安裝

from imageio import imread import matplotlib.pyplot as plt import os from wordcloud import WordCloud, ImageColorGenerator filename = "yes-minister.txt" f = open(filename,encoding='utf-8') #原文檔需要轉(zhuǎn)換格式 mytext=f.read() from wordcloud import WordCloud wordcloud = WordCloud().generate(mytext) import matplotlib.pyplot as plt plt.imshow(wordcloud,interpolation='bilinear') plt.axis('off')#按照步驟得到的圖

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import matplotlib.image as mpimg import numpy as np from PIL import Image#這些代碼參考-http://amueller.github.io/word_cloud/auto_examples/wordcloud_cn.html kust_coloring = np.array(Image.open("kust.jpg"))#自己隨便搞張圖 wc = WordCloud( background_color="white", max_words=2000, mask=kust_coloring) atext=open( "yes-minister.txt",encoding='utf-8').read() image_colors = ImageColorGenerator(kust_coloring) wc.generate(atext)#一開(kāi)始會(huì)說(shuō)'str'啥的，直接重啟內(nèi)核 # show fig, axes = plt.subplots(1, 3) axes[0].imshow(wc, interpolation="bilinear") # recolor wordcloud and show # we could also give color_func=image_colors directly in the constructor axes[1].imshow(wc.recolor(color_func=image_colors), interpolation="bilinear") axes[2].imshow(kust_coloring, cmap=plt.cm.gray, interpolation="bilinear") for ax in axes:ax.set_axis_off() plt.show()

?
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:
ax.set_axis_off()
plt.show()

? [外鏈圖片轉(zhuǎn)存中...(img-QGFCSfGm-1628130214484)]

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