使用Python統計文件中詞頻，並且生成詞雲

總體思路

• 導入想要產生詞雲的文章或者段落
• 對導入的文字進行jieba分詞
• 統計分詞之后的詞頻
• 生成並繪制詞雲

Demo

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()