Ejemplo n.º 1
0
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
Ejemplo n.º 2
0
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
Ejemplo n.º 3
0
# 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)