from wordcloud import WordCloud
import jieba
import matplotlib.pyplot as plt
import numpy as np
import PIL.Image as Image
text = open(u'data.txt','r',encoding='utf-8').read()
stopwords={'你','我','自己','的','因為','就','他','和','是' } # 去掉無用的詞
word_cut=jieba.cut(text)
word_cut_join=" ".join(word_cut)
mask_img=np.array(Image.open("1.jpg"))
wordcloud = WordCloud(
	font_path='simsun.ttc',#設置字體
	max_words=1000,#詞云顯示的最大詞數
	mask=mask_img,#設置背景圖片
	stopwords=stopwords,
	background_color='white'#背景顏色
	).generate(word_cut_join)
plt.imshow(wordcloud)
plt.axis("off")
plt.show()

from wordcloud import WordCloud
import jieba
import numpy
import PIL.Image as Image
#1.將字符串切分
def chinese_jieba(text):
  wordlist_jieba=jieba.cut(text)
  space_wordlist=" ".join(wordlist_jieba)
  return space_wordlist
with open("data.txt" ,encoding="utf-8")as file:
  text=file.read()
  text=chinese_jieba(text)
  #2.圖片遮罩層
  mask_pic=numpy.array(Image.open("1.jpg"))
  #3.將參數mask設值為：mask_pic
  wordcloud = WordCloud(font_path="C:/Windows/Fonts/simfang.ttf",mask=mask_pic).generate(text)
  image=wordcloud.to_image()
  image.show()