python生成詞云簡單案例

環境：python3.6

第三方庫：matplotlib、wordcloud、pil

**如下：

執行展示效果：

----------------------------分割線-------------------------------------------

以上使用於英文文字，中文文字流程如下

第三方庫：matplotlib、wordcloud、pil、jieba、numpy

from wordcloud import wordcloud

import pil.image as image
import numpy as np
import jieba
# 分詞
def trans_cn(text):
# 接收分詞的字串
word_list = jieba.cut(text)
# 分詞後在單獨個體之間加上空格
result = " ".join(word_list)
return result
with open("love.txt",encoding="utf-8") as fp:
text = fp.read()
# print(text)
# 將讀取的中文文件進行分詞
# 新增遮罩層
mask=mask,
# 生成中文字的字型,必須要加,不然看不到中文
font_path="c:\windows\fonts\stxingka.ttf"
).generate(text)
image_produce = wordcloud.to_image()
image_produce.show()

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