def show():
# 读取文件
d = path.dirname(__file__)
text = open(path.join(d, 'doc//countdata.txt'),encoding='gbk').read()
# 若是中文文本，则先进行分词操作
text = chnSegment.word_segment(text)
# 生成词云
plotWordcloud.generate_wordcloud(text)
return plotWordcloud
def stu_word_cloud_create(req):
text = ','.join(req.get("data"))
# 分词
try:
text = chnSegment.word_segment(text)
# 生成词云
image_path = plotWordcloud.generate_wordcloud(text)
except ValueError:
print("词云处理错误")
return "0"
else:
return image_path
# coding:utf-8
import time
from os import path
import chnSegment
import plotWordcloud
if __name__=='__main__':
# 读取文件
start = time.time()
d = path.dirname(__file__)
text = open(path.join(d, u'doc//lunwen.txt'), 'r', encoding='utf8').read()
# text = open(path.join(d,'doc//alice.txt')).read()
# text="毕业快乐"
# 若是中文文本，则先进行分词操作
text=chnSegment.word_segment(text)
# 生成词云
plotWordcloud.generate_wordcloud(text)
end = time.time()
print(1)
