wordcloud

Table of Contents

1 怎樣使用Python產(chǎn)生詞云

from wordcloud import WordCloud

import matplotlib.pyplot as plt

import jieba

# Now, There is no 'word.txt' under this path

path_txt = "/home/alan/Desktop/word.txt"

f = open(path_txt, 'r', encoding = 'UTF-8').read()

cut_text = " ".join(jieba.cut(f))

wordcloud = WordCloud(

font_path = "/home/alan/.local/share/fonts/STKAITI.TTF",

background_color="white",

width=1000,

height = 800

).generate(cut_text)

plt.imshow(wordcloud, interpolation = "bilinear")

plt.axis("off")

plt.show()

總體思路：

導(dǎo)入文章

"jieba"分詞

統(tǒng)計(jì)詞頻

生成并繪制詞云

標(biāo)簽：plt,Python,wordcloud,cut,詞云,path,詞頻,txt

來(lái)源： https://www.cnblogs.com/alango/p/10364436.html

總結(jié)

以上是生活随笔為你收集整理的python统计段落单词词频_使用Python统计文件中词频，并且生成词云的全部?jī)?nèi)容，希望文章能夠幫你解決所遇到的問(wèn)題。

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